Spain dna ancestry

Spain dna ancestry DEFAULT

Surprising DNA found in ancient people from southern Europe

Since the beginning of human migration, the Iberian Peninsula—home of modern-day Spain and Portugal—has been a place where the cultures of Africa, Europe, and the Mediterranean have mingled.

In a new paper in the journal Science, a group of 111 population geneticists and archaeologists charted 8,000 years of genetics in the region. They paint a picture that shows plenty of genetic complexity, but that also hints at a single mysterious migration about 4,500 years ago that completely shook up ancient Iberians’ DNA.

The team searched DNA evidence for clues to how and when various populations became part of the Iberian Peninsula’s gene pool. They sequenced the genomes of 271 ancient Iberians, then combined that information with previously published data about 132 other ancient peninsula dwellers.

The picture was more complex than they had anticipated.

The men from the steppes

Beginning in the Bronze Age, the genetic makeup of the area changed dramatically. Starting in about 2,500 B.C., genes associated with people from the steppes near the Black and Caspian seas, in what is now Russia, can be detected in the Iberin gene pool. And from about 2,500 B.C. much of the population’s DNA was replaced with that of steppe people.

The “Steppe Hypothesis” holds that this group spread east into Asia and west into Europe at around the same time—and the current study shows that they made it to Iberia, too. Though 60 percent of the region’s total DNA remained the same, the Y chromosomes of the inhabitants were almost entirely replaced by 2,000 B.C. That suggests a massive influx of men from the steppes, since Y chromosomes are carried only by men.

“It looks like the influence was very male dominated,” says Miguel Vilar, a genetic anthropologist who serves as senior program officer for the National Geographic Society.

Who were these men—and did they come in peace? Vilar, who was not involved with the study, speculates that the steppe men may have come on horses bearing bronze weapons, hence ushering in the Bronze Age to the area. He compares the migration to the one the indigenous peoples of North and South America faced when the first Europeans landed in the 1490s.

“It shows that you could have a migration all the way across the whole continent (of Europe) and still have a heavy influence on this far extreme,” he says.

Although bronze came into use in Iberia around that time, no other distinct traces of steppe culture have yet been found. The study did show that people in present-day Basque, who speak Western Europe’s only non-Indo-European language, carry genetic markers closely related to those of the steppe people. And unlike modern Spaniards, modern-day Basques don’t show the same amount of genetic mixing that happened on the peninsula over the centuries.

The team also found a single individual with North African DNA from a site in the middle of Iberia. His bones date to about 2,500 B.C.

“At the beginning I thought it was a mistake,” says Iñigo Olalde, a population geneticist who led the study.

When he replicated his work, it checked out. The presence of that lone African suggests early, sporadic interchange between Iberia and North Africa, making sense of archaeological discoveries of African ivory at Copper-Age Iberian digs. But the team thinks that North African ancestry only became widespread in Iberia in about the last 2,000 years.

Ice Age diversity

The study forms a complex picture of the genetic history of Spain—one that’s reinforced in a companion piece published in the journal Current Biology. In that study, researchers from Spain and Germany found that hunter-gatherers and farmers living on the Iberian Peninsula also were more genetically diverse than previously thought. They found evidence that different hunter-gatherer cultures mixed on the warm Iberian Peninsula, which they used as an Ice Age refuge 19,000 years ago. Newer farmers to the area mixed with the hunter-gatherers later.

”The DNA was a surprise,” says doctoral student Vanessa Villalba-Mouco, an archaeogeneticist who led the research for the Max Planck Institute for the Science of Human History in Germany and the University of Zaragoza in Spain. “Clues about what happened in that moment help us understand the evolution of the next period. We need to sample more individuals to know their history in a more accurate way.”

Ancient DNA work “is helping us deconstruct the idea that that we have distinct geographic populations like Africans or Asians or Europeans,” says Vilar. “Not only are people living in areas like Iberia heterogeneous, but they were the product of different waves of migration themselves.”

For Olalde, the work was an unprecedented chance to explore the genetic history of the place he calls home. “Being able to do this study was a dream for me,” he says.

And working with a large sample sizes—rare in studies that must rely on DNA extracted from bone that is thousands of years old—was particularly exciting for the Olalde, who works in the David Reich Lab at Harvard Medical School. “Being able to analyze nearly 400 individuals is crazy. Thanks to them, we now have a much richer picture of all the different peoples who inhabited the Iberian Peninsula and how they shaped present-day populations.”

Sours: https://www.nationalgeographic.com/science/article/ancient-iberians-dna-from-steppe-men-spain

Are you wondering how Spanish DNA would show up on a DNA test? Is there any way that a simple DNA test could detect Spanish ancestry?

Yes! Spanish ancestry can show up on a DNA test.

Do You Have Spanish DNA

In this post, you’ll learn what Spanish DNA looks like on a DNA test, how to know whether you have Spanish DNA, and a little bit about tracing your family tree to find your Spanish ancestors.

How does Spanish DNA show up on a DNA test?

If you have inherited a detectable amount of Spanish DNA from your ancestors, there is a good chance that it will show up on your DNA test.  I generally recommend Ancestry DNA for DNA testing, but Family Tree DNA and My Heritage will also test for Spanish DNA.

Your Spanish DNA will show up in the category of Spain or the Iberian Peninsula on most DNA tests.   Below you can see what Iberian looks like on Ancestry DNA, Family Tree DNA, and My Heritage DNA.

On Ancestry DNA, Spanish DNA shows up as “Spain”:

How does Spanish DNA show up on Ancestry DNA?

On Family Tree DNA, Spanish DNA shows up under the “Iberia” category:

What does Spanish look like on Family Tree DNA

On My Heritage DNA, Spanish DNA will be under the South Europe category within the “Iberian” sub-region:

What does Spanish look like on My Heritage DNA
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If Spanish means Iberian, does Iberian mean Spanish?

While Spanish DNA often does show up under the Iberian category on DNA tests, this does not mean that everyone who has Iberian DNA also has Spanish ancestry. 

Two countries, Spain and Portugal, are entirely located on the Iberian Peninsula, and a portion of France is also located there.

How can I find out whether I have Spanish DNA?

The easiest way to find out if you have inherited Spanish DNA from your ancestors would be to take an autosomal DNA test.  This type of DNA test is offered by several different companies, but I recommend using Ancestry DNA. 

I recommend testing with 23andMe or Ancestry DNA. They both test for the most sub-regions. Any of the following tests will pick up on your Iberian/Spanish ancestry, especially if it is recent.

What if I have Spanish ancestors, but none showed up in my DNA?

If you already took a DNA test and were expecting to see Spanish DNA (which would show up as Iberian), and don’t see any, there are two main reasons that this might have occurred.  First, there is a chance that your Spanish ancestors weren’t 100% Iberian – this is actually very likely, in fact. 

The second reason is that your Spanish ancestors were so far back that you either inherited very little of their DNA, or none at all.

What do I mean when I say that your Spanish ancestors might not have been, and probably weren’t, 100% Iberian?  Just because you are born somewhere doesn’t mean that all of your ancestors going back many, many centuries were all from that same place. 

Our ancestors traveled just about as much as we do now, just with less ease and comfort, and this means that our ancestors tended to share their DNA with nearby regions.  There is a good chance that your Spanish ancestors had DNA from other parts of Southern Europe, Great Britain, Ireland, and North Africa, among other places.

Because of the way that DNA is inherited, if your Spanish ancestor was many generations back in your family tree, there is a good chance that you didn’t inherit very much DNA from them, or any at all. 

You only inherit 50% of each of your parents’ DNA, and they only inherited 50% of their parents’ DNA, and so on, and so on, meaning that with each generation, some DNA is “lost”. 

The end result of this could be you sharing no DNA with your Spanish great-great-great-great-great grandmother.  If we assume that your Spanish 5th great-grandmother was only 50% Iberian, there is also the possibility that even if you did inherit DNA from her, you didn’t inherit her Iberian DNA.

How to trace your Spanish ancestry

If you are interested in finding out how you got your Spanish DNA, or if you know you have Spanish ancestors, you might want to know if you can trace your Spanish ancestry. 

The best way to do this would be to start building your family tree – no matter how far back you think your Spanish ancestors might be.  The following are the basic steps to build your family tree:

  •  Write down what you already know about your family history.
  • Talk to your older family members (grandparents, great-grandparents, parents, aunts, uncles, older cousins and siblings) about your recent ancestors.  Ask for stories, names, dates, and locations – and take notes.
  • Take special note of any ancestors who were born in a country that likely had Spanish immigrants (I’m thinking of Latin American countries in particular)
  • Choose an online location to start building your family tree.  I like building my tree on Ancestry because of the easy access to documents and other records, but there are other good websites for this, too.
  • Search immigration records, church records, and online public family trees for additional information about your ancestors.
  • Build your family tree further back, generation by generation.

For more information on researching Spanish ancestry, check out this Family Search page about Spanish Genealogy.

Do You Have Spanish DNA? Pinterest image with graphic of the country of Spain with Spanish flag

Conclusion

I hope that this post has helped you understand a little bit more about how Spanish might show up on a DNA test, how to find out if you have Spanish DNA, and how to trace your Spanish ancestors. 

If you have any questions about something that you read in this post, please feel free to leave a comment below  – I hope to hear from you.

Thanks for stopping by!

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Sours: https://whoareyoumadeof.com/blog/do-you-have-spanish-dna/
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Patterns of genetic differentiation and the footprints of historical migrations in the Iberian Peninsula

Abstract

The Iberian Peninsula is linguistically diverse and has a complex demographic history, including a centuries-long period of Muslim rule. Here, we study the fine-scale genetic structure of its population, and the genetic impacts of historical events, leveraging powerful, haplotype-based statistical methods to analyse 1413 individuals from across Spain. We detect extensive fine-scale population structure at extremely fine scales (below 10 Km) in some regions, including Galicia. We identify a major east-west axis of genetic differentiation, and evidence of historical north to south population movement. We find regionally varying fractions of north-west African ancestry (0–11%) in modern-day Iberians, related to an admixture event involving European-like and north-west African-like source populations. We date this event to 860–1120 CE, implying greater genetic impacts in the early half of Muslim rule in Iberia. Together, our results indicate clear genetic impacts of population movements associated with both the Muslim conquest and the subsequent Reconquista.

Introduction

Genetic differentiation within or between human populations (population structure) has been studied using a variety of approaches over many years1,2,3,4,5. Recently there has been an increasing focus on studying genetic differentiation at fine geographic scales, such as within countries6,7,8. Identifying such structure allows the study of recent population history, and identifies the potential for confounding in association studies, particularly when testing rare, often recently arisen variants9. The Iberian Peninsula is linguistically diverse, has a complex demographic history, and is unusual among European regions in having a centuries-long period of Muslim rule10.

Previous studies of population structure in Spain have examined either a small fraction of the genome11,12,13 or only a few regions of Spain14,15, and typically compare groups of individuals defined a priori using broad ethnic or geographic labels, such as autonomous community. Using such approaches only limited population structure within Iberia has been identified15,16,17,18,19. Some structure within northern Spain has been detected, including statistically significant differences in frequencies of Y-chromosome haplotypes and other genetic markers between the Basque-speaking regions and other parts of Iberia11,12, a result consistent with a European-wide analysis using autosomal DNA20. Studies of Spain that used genome-wide data did not leverage information in correlations between genetic markers14,15, excepting one study21, which detected a cline of variation broadly distinguishing samples in País Vasco from other parts of northern Spain, especially Galicia, but no evidence of sub-structure in central or southern Spain. Thus the overall pattern of population structure within Spain—including subtle structure at fine geographic scales—remains uncharacterized.

The cultural and linguistic impact of Muslim rule in Iberia is well-documented, but the historical record is limited in its ability to inform about the extent, timing and geographic spread of genetic mixing between immigrants and indigenous Iberians over several centuries after the initial conquest22. Previous genetic studies have reported signals of admixture from sub-Saharan Africa and/or north Africa into Iberia at some point in the past23,24,25,26,27. However, estimates of the timing of this admixture vary greatly, from as long as 74 generations ago (~100 BC)23 to 23 generations ago (~1330 CE)25. Estimates of overall mean proportions of African-like DNA in the Iberian Peninsula also vary, ranging from 2.424 to 10.6%11. Differences within Iberia have also been reported11,26, based on comparisons between sampled regions, with higher fractions observed in western regions of Iberia (e.g. 21.7% in Northwest Castile11) and lower fractions in the north-east (e.g. 2.3% in Cataluña11). Estimates of the timing and extent of admixture tend to vary depending on the reference populations assumed to represent the ancestral mixing groups (e.g. Moroccan11 or Saharawi26), as well as heterogeneity in the ancestral make-up of the modern-day Iberian samples used in the analysis.

Here we analyse genome-wide genotyping array data for 1413 Spanish individuals sampled from across Spain. By using powerful, haplotype-based statistical methods we identify extensive fine-scale structure down to scales <10 km in some places. We identify a major axis of genetic differentiation that runs from east to west across Iberia. In contrast, we observe remarkable genetic similarity in the north–south direction, and evidence of historical north–south population movement. Finally, we sought to clarify the timing and composition of African-like and potentially non-African genetic contributions to the Iberian Peninsula, by jointly analysing genotype data sourced from a wide range of African and European regions. We show that modern Spanish people have regionally varying fractions of ancestry from a group most similar to modern north-west Africans. This African ancestry, identified without making particular prior assumptions about source populations, results from an admixture event that we date to 860–1120 CE, corresponding to the early half of Muslim rule. Our results indicate that it is possible to discern clear genetic impacts of the Muslim conquest and population movements associated with the subsequent Reconquista.

Results

Extensive fine-scale population structure in Spain

We analysed phased genotyping array data for 1413 Spanish individuals typed at 693,092 autosomal single nucleotide polymorphisms (SNPs) after quality control (Methods). We applied fineSTRUCTURE28 to these data to infer clusters of individuals with similar patterns of shared ancestry (Methods). fineSTRUCTURE inferred 145 distinct clusters, along with a hierarchical tree describing relationships between the clusters (Fig. 1a; Methods). We used genetic data only in the inference, but explored the relationship between genetic structure and geography using a subset of 726 individuals for whom geographic information was available and all four grandparents were born within 80 km of the centroid of their birthplaces. Figure 1b represents each of these individuals as a point on a map of Spain, located at the centroid of their grandparents’ birthplaces and labelled according to their cluster assignment after combining small clusters at the bottom of the tree (Methods). Their grandparents were likely to have been born in the decades either side of 1900 (median birth-year of the cohort is 1941), so the spatial distribution of genetic structure described in this study would reflect that of Spain around that time.

Spanish individuals grouped into clusters using genetic data only. a Binary tree showing the inferred hierarchical relationships between clusters inferred using genotype data of 1413 individuals (fineSTRUCTURE analysis A). The colours and points correspond to the clusters shown on the map, and the length of the coloured rectangles is proportional to the number of individuals assigned to that cluster. We combined some small clusters (Methods) and the thick black branches indicate the clades of the tree that we visualise in the map. Clusters are labelled according to the approximate location of most of their members, but geographic data was not used in the inference. b Each individual (n = 726) is represented by a point placed at (or close to, <24 Km) the centroid of their grandparents’ birthplaces. We only plot the individuals for whom all four grandparents were born within 80 km of their average birthplace, although the data for all individuals were used in the fineSTRUCTURE inference. The background is coloured according to the spatial densities of each cluster at the level of the tree where there are 14 clusters (Methods). The colour and symbol of each point corresponds to the cluster the individual was assigned to at a lower level of the tree, as shown in a. Spain’s autonomous communities are also shown. c A representation of changes in the linguistic and political boundaries in Iberia from ~930 to 1300 CE, adapted with permission from maps by Baldinger29. Different linguistic areas are shown with the colours and shading, and political boundaries with white borders (in the far right map only). Only the colours and labels of the Christian kingdoms have been added to aid visualisation

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These results reveal patterns of rich fine-scale population structure in Spain. At the coarsest level of genetic differentiation (i.e. two clusters at the top of the hierarchy) individuals located in a small region in south-west Galicia are separated from those in the rest of Spain. The next level separates individuals located primarily in the Basque regions in the north (País Vasco and Navarra) from the rest of Spain. Further down the tree (background colours in Fig. 1b) many of the clusters closely follow the east–west boundaries of Spain’s autonomous communities, especially in the north of Spain. However, in the north–south direction several clusters cross boundaries of multiple autonomous communities. Overall, the major axis of genetic differentiation runs from east to west, while conversely there is remarkable genetic similarity on the north–south direction. In a complementary analysis that included Portugal, although fewer SNPs (Methods), Portuguese individuals co-clustered with individuals in Galicia (Fig. 2a), showing that this pattern extends across the whole Iberian Peninsula. Indeed, rather than mainly reflecting modern-day political boundaries (autonomous communities), the broad-scale genetic structure of the region is strikingly similar to the linguistic frontiers29 present in the Iberian Peninsula around 1300 CE (Fig. 1c). Via more formal simulation-based testing, we confirmed this: the association of genetic structure with language is statistically significant (p< 0.008), even after accounting for both physical distance and autonomous community membership (Supplementary Note 9; Supplementary Figure 8). Conversely, once physical distance and language are taken into account, no significant association with autonomous community remains (p = 0.12).

Clustering analysis including Portuguese individuals; and large clusters at the bottom of the tree. a This map and tree show clusters inferred by fineSTRUCTURE (analysis B) that included data from Portuguese individuals but using a smaller set of SNPs (Methods). As in Fig. 1b we show the level of tree such that all clusters contain at least 15 individuals (39 clusters). Points representing 843 individuals are shown on this map but, as with analysis A, data for all Portuguese and Spanish individuals (1530) were used in the inference. Positions of points and background colours are determined using the same procedure as for Fig. 1b (Methods), with the exception of Portugal. No fine-scale geographic information was available for these individuals, so we placed them randomly within the boundaries of Portugal and show a single background colour. b This map shows geographic spread of the three large clusters that remain at the bottom of the tree inferred in the Spain-only fineSTRUCTURE analysis (see main text; Fig. 1a). These clusters each contain more than 100 individuals out of the full set of 1413. The accompanying tree highlights the three clusters within the full tree structure. The width of the coloured rectangles is proportional to the number of individuals belonging to each cluster (yellow = 222; orange = 165; red = 123)

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Although some geographically dispersed clusters (e.g. ‘central’ and ‘west’) remain largely intact at the bottom of the hierarchical tree (Fig. 2b) many of the clusters that emerge further down the tree involve greater geographical localisation. By far the strongest sub-structure is seen within a single province in Galicia, Pontevedra, which contains almost half of the inferred clusters in all of Spain (Fig. 1a). This ultra-fine structure is seen across scales of <10 km and the clusters align with regions defined by hills and/or river valleys (Fig. 3a). This structure is not an artefact of the denser sampling in this region, as it was still evident in an analysis after sub-sampling (Supplementary Note 4). Highly localised structure is also seen in other parts of Spain, including four clusters within the Basque regions (Fig. 3b), and a cluster that is exclusive to a ~50 km segment of the River Ebro in La Rioja (Fig. 3c).

Ultra-fine-scale genetic structure within Spain. Points representing individuals are placed on each of the magnified maps and coloured as described in Fig. 1, with short dark lines pointing to their precise locations (the average birthplace of their grandparents). The three magnified maps show local elevation, rivers, and water bodies, as well as borders of autonomous communities (solid black lines) and provinces (dashed lines and text). a Locations of individuals (44) within the genetic clusters centred in Galicia. Note that we show this region at a higher level of the tree (14) as the lower level yields clusters with fewer than three individuals with fine-scale geographic location data. b Locations of individuals (60) within the clusters centred in the Basque-speaking regions of País Vasco (Basque Country) and Navarra. For visual clarity we only show the individuals that are within the clade coloured blue and green in Fig. 1. This clade makes up the majority of all individuals located in this region, and a majority of this clade is located in this region (60 of 64 with geographic data). c Locations of individuals (16) who almost all comprise a single cluster exclusive to a ~50-km-wide region along the banks of the River Ebro in La Rioja, just south of País Vasco and Navarra

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To further understand the relationships between the clusters inferred by fineSTRUCTURE, we examined patterns in the matrix of ancestry sharing (coancestry) between each pair of 1413 individuals (Fig. 4a). In general, coancestry between individuals within a cluster is higher than between individuals in different clusters, reflecting genetic drift unique to each cluster. This effect is strongest for highly localised clusters, such as those in Galicia and País Vasco and La Rioja (Fig. 4b). These clusters also tend to have greater certainty in their cluster assignment (Supplementary Figure 1b). In contrast, the cluster labelled ‘central’ (shown with yellow triangles in Fig. 1b) shows no clear drift signal. In fact, individuals in this cluster have—on average—more coancestry with the members of Basque-centred clusters (blue squares and triangles) than they do with other individuals in their own cluster (p < 0.02; Fig. 4c). Theoretical arguments predict (Methods) that this effect can only occur if admixture from a highly drifted group into another population takes place. That is, the effect could not be explained by Basques inheriting DNA from ancestors of the central group (although this may have happened in addition). Thus, this signal provides evidence of admixture into the ‘central’ cluster from a group related to the Basque populations.

Estimates of shared ancestry between Spanish individuals and across fineSTRUCTURE clusters. a Matrix of coancestry values used in cluster inference. Each of 1413 individuals is represented as a row, where each element is the coancestry (in cM) shared with each of the other individuals (see Methods for the definition of coancestry). In order to visualise the bulk of the variation, values equal to or above the 90th percentile (7.7 cM) are coloured black. The tree is as shown in Fig. 1a, and the horizontal black lines demarcate the clusters at the lower level of the tree, and labelled with points. b The distribution of the mean coancestry between individuals in the same cluster for 200 bootstrap resamples (Methods). Clusters are ordered by their median value, and coloured/labelled according to those shown in a. One cluster (part of the clade labelled ‘Galicia_central’) was excluded from this analysis as it only contains 9 individuals. c Evidence for excess of coancestry with a source cluster compared to within-cluster coancestry. Each row of this matrix is a cluster inferred in the fineSTRUCTURE analysis as labelled in a. For each recipient cluster (rows) we tested whether the mean coancestry among individuals within the recipient cluster is smaller than their mean coancestry with individuals in each of the other clusters (columns). Each element is coloured according to –log10(p), where p-values are based on 200 bootstrap resamples using the same sample size (13 individuals) for all clusters (Methods). Dark borders indicate source-recipient pairs with a p-value < 0.02 (not Bonferroni corrected). d Illustration of demographic scenarios leading to high coancestry between two different clusters. The symbols α and β represent clusters of individuals today, and α′ and β′ represent their ancestral populations. Arrows represent mixing of one ancestral population into the other at some time (or times) in the past. In the left two scenarios individuals in β will have—on average—higher coancestry with each other than with individuals in α. In the right two scenarios it is possible for individuals in β to have higher coancestry with individuals in α than with each other (see Supplementary Note 5 for a fuller discussion)

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The genetic impact of historical migrations

Next, we sought to characterize the relationship between Iberians (combining Spanish and Portuguese individuals) and non-Iberian groups, to understand the extent to which recent migrations from outside Iberia have influenced modern-day DNA in Spain. We constructed a combined dataset (300,895 SNPs) of 2919 individuals from Spain, Europe, north Africa30 and sub-Saharan Africa31 (Methods). We used fineSTRUCTURE to identify 29 non-Iberian donor groups (Methods). We extended the fineSTRUCTURE model to re-cluster individuals within Iberia, now based only on their levels of ancestry sharing across these 29 groups (Methods). These clusters capture the impact of migration into and across Spain, removing the effects of simple isolation events.

Using this approach we inferred six distinct clusters within Iberia (Fig. 5a), many fewer than in the Spain-only analysis (Fig. 1a), implying that much of the fine-scale structure seen within Spain is a result of regional genetic isolation. The six clusters still associate with geographical regions, predominantly in the east–west direction rather than north–south. Notably, the extensive sub-structure in Pontevedra disappears, and indeed these individuals now co-cluster with Portuguese individuals. Therefore, the extensive fine-scale structure in Galicia is most likely explained by local drift effects. In contrast, a distinct cluster still occurs within the Basque region. This indicates that alongside regional isolation, distinctive levels of ancestry sharing with non-Spanish groups contribute to fine-scale structure in this region.

Characterising genetic contributions to Iberia. a Geographic distribution of 843 Iberian individuals grouped into six clusters based on haplotype sharing with external populations (Methods). More individuals (1530) were used in the inference, but only those with adequate geographic data are shown on the map. Background colours and the positions of points on the map are determined using the same procedure as for Fig. 1b, with the exception of individuals of Portuguese origin. No fine-scale geographic information was available for these individuals, so we placed them randomly within the boundaries of Portugal and show a single background colour (Methods). b Admixture dates and mix of admixing groups in single-date, two-way admixture events, as inferred using GLOBETROTTER (n = 541 individuals). On the left are the donor groups inferred to best represent the two ancestral populations involved in the admixture event (separated by a dashed line), along with the inferred admixture proportions of the smaller side (for donor groups contributing at least 1%). Estimated dates and 95% bootstrap intervals are shown on the right, for each target Iberian cluster as shown in a. The white vertical dashed lines show the time of the initial Muslim conquest (711 CE) and the Siege of Seville (1248 CE), between which around half (or more) of Iberia was under Muslim rule. The admixture dates assume a 28-year generation time, and a current generation date of 1940 (the approximate average birth-year of this cohort). Detailed results of this GLOBETROTTER analysis are tabulated in Supplementary Tables 3a and 4. c, d We estimated ancestry profiles for each point on a fine spatial grid across Spain (Methods). The background colour shows the fraction contributed from a particular donor group, as defined by the scale bar. Grey crosses show the locations of the Iberian individuals used in the estimation: 843 in c, 793 in map d. Map c shows the fraction contributed from the donor group ‘NorthMorocco’. Map d shows the fraction contributed from the donor group ‘Basque1’, which we defined based on the Spain-only fineSTRUCTURE analysis (Fig. 1a). Maps for other donor groups are shown in Supplementary Figure 5

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To characterise the genetic make-up of these six Iberian clusters we estimated their ancestry profiles: we fitted each cluster as a mixture of (potentially) all 29 donor groups to approximate the unknown ancestral groups that actually contributed to modern-day Iberian individuals (Methods). This approach accounts for the stochasticity in ancestral relationships along the genome and was previously shown to be informative in the context of the British Isles6. Only six of the 29 donor groups show a contribution >1% in Iberia, and all are located in Western and Southern Europe, and north-west Africa (Fig. 6). For all six Iberian clusters the largest contribution comes from France (63–91%), with smaller contributions that relate to present-day Italian (5–17%) and Irish (2–5%) groups. With the exception of the Basque cluster, these three donor groups contribute proportionally similar amounts throughout Iberia, so probably represent ancient ancestry components rather than recent migration. In contrast, north Moroccan ancestry shows strong regional variation (Fig. 5c, Methods). See Supplementary Note 7 for a fuller discussion of the ancestry profiles.

Locations of donor groups and ancestry profiles of Iberian clusters. a Locations of individuals (n = 1503) within 30 non-Spanish genetic groups inferred using fineSTRUCTURE (Methods). Each point represents an individual, placed at their country-level location of origin, and coloured according to their inferred genetic group. Individuals from the same location (country) have been randomly jittered for visual clarity. Names are assigned to clusters based on where the majority of the individuals in the clusters are located. Where a cluster was split more evenly across two regions, a double-barrel name is used. All groups shown here, except ‘Portugal’, were used as donor groups in the analyses of Iberia. b Each column shows the ancestry profile for each of the inferred clusters shown in Fig. 5a. The heights of the bars show the proportion of each cluster’s ancestry which is best represented by that of the labelled non-Iberian donor group (Methods). Note that each row has a different y-axis range for visibility of the smaller components. Error bars show the range of the inner 95% of 1000 bootstrap resamples (Methods), and donor groups are only shown if at least one cluster has a range not including zero and a point estimate >0.001. The exact values plotted here and cluster sample sizes are in Supplementary Table 1

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To distinguish between possible scenarios that could produce these patterns, we applied the GLOBETROTTER method25 to each of our six clusters (Methods). GLOBETROTTER infers dates of admixture and the make-up of the source populations, and tests whether admixture patterns are consistent with a simple mixing of two groups at a single time in the past, compared to more complex alternative models. GLOBETROTTER found strong evidence (p< 0.01) of admixture for all six clusters (Methods; Supplementary Table 3a). For all six clusters, an extremely similar event was inferred (Fig. 5b), in a tight time-range of 860–1120 CE, and with similar source groups, present in varying proportions (4–10% for the minor group). The major source was inferred to contain almost exclusively European donor groups, and the minor source is made up of mainly north-west African donor groups, including Western Sahara, and to a lesser extent west Africans (YRI), consistent with the overall ancestry profiles. The ‘Portugal-Andalucia’ cluster shows the greatest YRI contribution, and also shows some evidence of a second admixture date, with a more recent event involving only sub-Saharan-African-like and European-like source groups (see Supplementary Figure 7 and Supplementary Note 8.2). This indicates a recent pulse of sub-Saharan African DNA, independent of the north African component. For the other five clusters, the dates are more precise than any previous estimate that used north African haplotypes in the analysis20,25,26. In our results any one 95% confidence interval (CI) spans no more than 11 generations (~300 years) and all confidence intervals combined span less than 14 generations (< 400 years).

GLOBETROTTER shows a subtle preference for Western Sahara as a source of north African DNA, as opposed to north Morocco. This might be explained if modern-day north Moroccan haplotypes are more similar to present-day Spanish individuals than the historical source population was. Indeed, a mixture analysis we performed of the north Moroccan group itself (Supplementary Figure 4; Methods) shows that this group has a non-trivial proportion of European-like ancestry while the Western Sahara donor group has none. Previous work showed similar results30. If this European-like ancestry had arrived more recently than the detected admixture event, the north Moroccan donor group would be a poor proxy for the historical source population and GLOBETROTTER would use a better alternative. Since GLOBETROTTER detects admixture based on the DNA received by the target population (Iberia) this would not affect the date estimates25.

Our earlier results imply the incorporation of Basque-like DNA elsewhere within Spain. We next incorporated the clade labelled ‘Basque1’ as a potential donor group, to characterise and date this event (Methods). Ancestry profiles show contributions of Basque-like DNA (Fig. 5d) highest in places immediately surrounding the main location of the Basque donor group (País Vasco), and much higher southwards than to the east and west. GLOBETROTTER yields congruent results, and inferred dates for the arrival of Basque-like DNA in the range 1190–1514 CE, more recent than the north-west African influx (Fig. 7).

Variation and timing of Basque-like genetic contributions in Iberia. Fraction contributions from the Basque-like donor group in ancestry profiles (Methods) and Basque-like admixture dates (GLOBETROTTER) for each cluster inferred in the Spain-only analysis (as shown in Fig. 1a) plus Portugal. The clade labelled ‘Galicia_Pontevedra’ in Fig. 1a was combined into one group for this analysis. The admixture dates are for a two-way admixture event involving a Basque-like side and an European-like side, and shown with 95% bootstrap intervals (Methods). The dates shown assume a 28-year generation time, and a current generation date of 1940. Detailed results of this GLOBETROTTER analysis are in Supplementary Table 3b

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Discussion

Our observation that genetic differences are small in the north–south direction within Spain, and evidence of gene flow preferentially in this direction, are most straightforward to interpret in the light of historical information regarding the Reconquista, during which Christian-controlled territory in the north moved gradually southwards from the mid-8th Century, following the Muslim conquest of Iberia (711CE). By 1249, almost all of Iberia was under Christian rule, and the Battle of Granada in 1492 marks the end of Muslim rule in Iberia. There is historical evidence of migration of peoples from the northern Christian kingdoms into newly conquered regions during the Reconquista10,32. The east–west boundaries of the clusters we see in the north of Spain correspond closely to the regions of broad linguistic differences in the Christian-ruled north, which date back to at least the first 200 years of Muslim rule (Fig. 1c), and we date the southwards movement of Basque DNA later within the Reconquista itself. Thus, it appears that present-day population structure within Spain is shaped by population movements within this key period.

We also detect a genetic footprint of the Muslim conquest, and subsequent centuries of Muslim rule. Following the arrival of an estimated 30,000 combatants33, a civilian migration of unknown numbers of people occurred, thought to be mainly Berbers from north Morocco and settling in many parts of the peninsula33. Our analysis confirms and refines previous findings11,20,26 of a substantial and regionally varying genetic impact, narrowing to a period spanning < 400 years. Crucially, unlike previous genetic studies of admixture in Iberia11,24,26, we avoid strong assumptions about the genetic make-up of the historical admixing groups. Instead of specifying in advance the modern-day sources that we assume best represent the historical populations that came together in the past, we infer the best mixture of modern-day populations from a large set of possible groups. Our GLOBETROTTER results suggest that amongst the six potential African populations in our study, the best match to the predominant group involved in the actual admixture event is north-west African. Moreover, admixture mainly, and perhaps almost exclusively, occurred within the earlier half of the period of Muslim rule (Fig. 5b). Within Spain, north African ancestry occurs in all groups, although levels are low in the Basque region and in a region corresponding closely to the 14th-century Crown of Aragon (compare Figs 1c, 5c). Therefore, although genetically distinct22,23, north African-like ancestry in the Basque region could be explained through genetic interactions between the Basque groups and other parts of Spain within the past 1300 years.

Perhaps surprisingly, north African ancestry does not reflect proximity to north Africa, or even regions under more extended Muslim control. The highest amounts of north African ancestry found within Iberia are in the west (11%) including in Galicia, despite the fact that the region of Galicia as it is defined today (north of the Miño river), was never under Muslim rule34 and Berber settlements north of the Douro river were abandoned by 741. This observation is consistent with previous work using Y-chromosome data11. We speculate that the pattern we see is driven by later internal migratory flows, such as between Portugal and Galicia, and this would also explain why Galicia and Portugal show indistinguishable ancestry sharing with non-Spanish groups more generally. Alternatively, it might be that these patterns reflect regional differences in patterns of settlement and integration with local peoples of north African immigrants themselves, or varying extents of the large-scale expulsion of Muslim people, which occurred post-Reconquista and especially in towns and cities10,32.

We show that population structure exists at ultra-fine scales in Galicia (Fig. 3a), particularly in the province of Pontevedra, with some clusters having geographic ranges of less than 10 Km (root-mean-square distance from cluster centroid). To our knowledge, these results represent the finest scales over which such structure has yet been observed in humans. Previously, it has been shown that by jointly analysing people from a priori defined sampling locations, subtle differences in group averages at certain genomic loci can be observed at fine geographic scales. For example, subtle differences in blood group frequencies have been observed among villages in Italy’s 70-km-long Parma Valley35. Our results go beyond this, showing that by leveraging information genome-wide, it is possible to detect subtle genetic structure at fine geographic scales, without utilizing prior geographic information. It will be interesting to identify whether (and if so which) other parts of the world show similar patterns. Pairs of individuals within these clusters show high levels of coancestry relative to the rest of Spain (Fig. 4b). In contrast, when we only consider their patterns of coancestry with non-Iberian groups this structure disappears: individuals from Pontevedra are indistinguishable from those from Portugal and other parts of western Spain (Fig. 5a). Therefore, the very strong population stratification observed in Galicia can most easily be explained through very recent geographic isolation, occurring subsequent to major migrations into the region (see Supplementary Note 4 for further discussion). It is worth noting that differences in the amount of population structure observed in different regions may be sample-dependent (see Supplementary Note 2.3 for discussion). In principle, if sampling is differentially biased towards, for example, rural verses urban areas in different parts of Spain it could potentially lead to differences in detected patterns of structure. This might mask structure in some regions, but crucially, our approach would not be able to find structure if it was not there.

Overall, the pattern of genetic differentiation we observe in Spain reflects the linguistic and geopolitical boundaries present around the end of the time of Muslim rule in Spain, suggesting this period has had a significant and long-term impact on the genetic structure observed in modern Spain, over 500 years later. In the case of the UK, similar geopolitical correspondence was seen, but to a different period in the past (around 600 CE)6. Noticeably, in these two cases, country-specific historical events rather than geographic barriers seem to drive overall patterns of population structure.

It appears that within-country population structure occurs across the world6,36, and in this study is observed down to scales of <10 km. Such strong, localised genetic drift predicts the existence of geographically localised rare mutations, including pathogenic ones. For example, cases of a specific form of inherited ataxia (SCA36) cluster within a specific region of Galicia37. Our results imply this phenomenon will tend to happen in specific areas, and can arise even where population density is high and in the absence of obvious strong geographic barriers, such as Galicia in the case of Spain.

Methods

Data and quality control

For the Spain-only analysis we used genotype data that was originally collected and typed for a colorectal cancer GWAS38. Biological samples were sourced from a variety of hospitals across Spain as well as the Spanish National DNA Bank. All samples were assayed together by Affymetrix (now Thermo Fisher Scientific) in the same facility. See ref. 38 for full details of sample collection and genotype calling. We used both cases and controls in Phase I of the GWAS study, which totalled 1548 individuals prior to quality control. Individuals from all 17 of Spain’s autonomous communities are represented in this dataset, but the Spanish territories of Melilla, Ceuta, and the Canary Islands are excluded from analyses involving geographic labelling due to limited sampling in these areas (four samples).

After applying a series of quality control filters (Supplementary Note 1.1) we phased the genotype data using SHAPEIT v239 with a reference panel and recombination map from Phase I 1000 Genomes40. Close relatives (kinship coefficient > 0.1), and individuals with evidence of recent, non-Spanish ancestry were included in the phasing, but excluded from the fineSTRUCTURE analysis. This procedure resulted in 1413 samples and 693,092 SNPs for our main analysis.

For all analyses involving individuals from outside of Spain we combined four sources of genotype data: European samples from POPRES41, north African samples from ref. 30, sub-Saharan African samples from Hapmap Phase 331, and the Spanish samples described above. The POPRES and north African samples were typed on the Affymetrix 500K array, which overlaps substantially with the Affymetrix 6.0 array. We first merged these data and then applied quality filters to the combined dataset of 6617 individuals, which we then phased altogether. After excluding related individuals, those with self-reported mixed ancestry, and sub-sampling some heavily sampled regions (e.g. Switzerland) the dataset comprised 2919 individuals and 300,895 SNPs, which we used in our joint analyses. See Supplementary Note 1.2 for full details of quality control and phasing.

Clustering using fineSTRUCTURE

We inferred clusters of individuals based on genetic data only by applying the fineSTRUCTURE method28, which uses a model-based approach to cluster individuals with similar patterns of shared ancestry. Within the fineSTRUCTURE framework, shared ancestry is measured as the total amount of the genome (in centiMorgans (cM)) for which individual i shares a common ancestor with individual j, more recently than all the other individuals in the sample. This is estimated for each pair of individuals i and j, defining a square matrix referred to as the coancestry matrix (e.g. Fig. 4a). This matrix is then used to cluster individuals into groups with similar patterns of coancestry, i.e. similar rows and columns in the matrix. We applied fineSTRUCTURE using the procedure recommended by the authors, except in one aspect: to measure shared ancestry (coancestry) we used the total amount of genome (in cM) for which individual i shares a common ancestor with individual j, more recently than all the other individuals in the sample. The software default coancestry measure is the number of contiguous segments (chunks) rather than the total amount of genome, but we found the alternative measure to be more robust to artefacts such as genotyping error (Supplementary Figure 2; Supplementary Note 2.1).

Using the coancestry matrix, fineSTRUCTURE applies a Markov chain Monte Carlo (MCMC) procedure to find a high posterior probability partition of individuals into a set of clusters. The number of clusters is not specified in advance, but rather estimated under the fineSTRUCTURE probability model. Having found a set of clusters, fineSTRUCTURE then infers a hierarchical tree by successively merging pairs of clusters whose merging gives the smallest decrease to the posterior probability (of the merged partition) among all possible pairwise merges.

We ran several fineSTRUCTURE analyses using phased haplotypes from the following sets of individuals:

  1. (A)

    Spanish individuals

  2. (B)

    Spanish and Portuguese individuals

  3. (C)

    Non-Spanish individuals

In all cases we used CHROMOPAINTER software (v2)28 to estimate the coancestry matrix, followed by fineSTRUCTURE’s clustering and tree-building procudures. We used a previous successful application of fineSTRUCTURE6 as a guide for the number of iterations in the MCMC, and other required parameters (see Supplementary Note 2 for full details). We also checked that the MCMC samples were largely independent of the algorithm’s initial position by visually comparing the results of two independent runs starting from different random seeds. Good correspondence in the pairwise coincidence matrices of the two runs indicates convergence of the MCMC samples to the posterior distribution28. See, for example, Supplementary Figure 1a showing the two independent runs for analysis A. Without loss of generality, we used the first of these two runs in our main analysis.

The statistical uncertainty of cluster assignments

For analysis A, we measured uncertainty in the assignment of individuals to clusters by using a procedure described formally in ref. 6, which uses the information from multiple samples of the fineSTRUCTURE MCMC. Informally, the procedure measures the overlap between a cluster k, and individual i’s assigned cluster in each of the MCMC samples within a single fineSTRUCTURE run. This can take values between 0 and 1, and sums to 1 across all clusters for a given individual. It provides a measure of certainty about the assignment of individual i to each cluster k in the final set of clusters. The cluster assignment certainty for an individual is the value corresponding to the final cluster assignment, and will be close to 1 if they are assigned to a cluster with largely the same set of individuals in each MCMC sample. This measure can be obtained for different layers of the hierarchical tree by summing the values for the clusters that merge at each layer.

For fineSTRUCTURE analysis A, cluster assignments at higher levels of the hierarchical tree are typically more certain than lower-level clusters. At the broader level of the tree shown (14 background colours in Fig. 1b) 94% of individuals have a cluster assignment certainty >0.7; and at the finer level (shown with points in Fig. 1b), this level of certainty is reached by 89% of individuals (see Supplementary Figure 1b). Furthermore, the clusters with the highest certainty tend to be those with greater geographic localization, e.g. those labelled ‘LaRioja’ and ‘Baleares’ (Fig. 1).

Selection of levels of the Spanish tree to analyse

In the fineSTRUCTURE analysis A 145 clusters were inferred. In order to examine properties of these clusters, such as their geographical locations, we focused on two different levels of the tree, thus highlighting both broad-scale and fine-scale structure. There is no right level of the tree to pick, but we chose them based on the sizes of the clusters. To examine broad-scale structure we chose a level (14 clusters) such that all clusters were larger than size 20. Recall that moving up the tree, at each level a pair of clusters is merged. At the base of the tree, newly separated groups typically contain few (<15) individuals, with higher clustering uncertainty. To avoid the presence of such minor clusters, we traversed up the tree until the first time a merge occurred between two larger clusters (>15 individuals). This occurs at the level of 49 clusters. However, at this level over half (28) of the clusters are within the clade involving individuals mostly from south-west Galicia (labelled ‘Galicia_Pontevedra’ in Fig. 1a), and for many of these clusters fine-scale geographic information was only available for one or two individuals, and/or the cluster contained fewer than 15 individuals. Therefore, to aid visualization in Fig. 1b and Fig. 3a we only show the clusters at the higher level of the tree (level 14) for this clade, although the full tree is still shown in Fig. 1a.

Map-based data visualisation

Geographic information was available for individuals in the Spanish cohort, along with their age at collection, sex, and genotyping plate (controls only) and batch used in genotype calling. The geographic information includes region of origin (autonomous community) for all individuals; for 959 individuals (68%) the birthplace (town) of at least one grandparent was available, and for 883 of these the birthplace of all four grandparents was available. We assigned each individual to a geographic coordinate by matching the text (e.g. ‘Barcelona’) to a municipal region as defined by the Spanish Statistical Office (www.ine.es, 2014) and coding them to the centre of the matching region. Some locations were not themselves a municipality, so we coded these individuals to the centre of the nearest municipality, identified by using Google Maps. However, in the fineSTRUCTURE analysis we clustered all individuals, i.e. also included those individuals for whom the exact birthplaces of their grandparents was not known, but these are not used in interpreting the spatial distribution of the inferred genetic structure.

In figures showing a map of Spain (e.g. Fig. 1b) each individual is represented by a point placed at the average coordinate (centroid) of their grandparents’ birthplaces (coordinates were derived as described above). To minimise the effects of very recent (20th Century) migration within Spain, only those individuals (726) with all four grandparents born within 80 km of each other are shown on the maps. See Supplementary Table 6 for the effect of this filtering in different regions of Spain. Where many individuals have the same coordinate, such as in Barcelona, points have been randomly shifted, by no more than 24 km, to aid visualisation. To visually represent the discrete assignment of individuals to clusters by fineSTRUCTURE, the members of each cluster are represented using the same colour and symbol. We also coloured the background of the maps using a Gaussian kernel smoothing procedure on a regular grid of 3-km-wide squares across Spain. Informally, each square in the grid is coloured according to the relative contributions of each cluster, where contributions are measured by Gaussian densities centred on the location of each individual. See Supplementary Note 3 for a formal description.

The linguistic maps in Fig. 1c are based on scanned images of previously published work (Baldinger, K. La Formación de los Dominios Lingüísticos en la Península Ibérica, Spain: Gredos, 1963, maps 6-9, 10(29)), which we adapted in the following ways using Adobe Illustrator. Colours were added to help distinguish the different linguistic groups and the political borders (from Map 10 by Baldinger29) were overlaid onto the right-most map.

Signals of drift and admixture in the coancestry matrix

Recall that coancestry (as we have used it) measures the amount of genome (in cM) for which an individual i shares its most recent common ancestor with another individual j, out of all the individuals in the sample. Properties of this matrix are informative of patterns of drift and admixture within and across clusters inferred by fineSTRUCTURE. Specifically, excess coancestry between individuals in the same cluster (within-cluster coancestry) is a natural measure of genetic drift of that cluster relative to all the other clusters28. In general, individuals are often observed to have the highest levels of coancestry with other individuals in their assigned cluster. This is not a constraint of the fineSTRUCTURE model; rather it is because if two individuals have similar patterns of shared ancestry, they are naturally also likely have more recent shared ancestry between them. However, it is possible for this not to be the case, and this is informative of admixture (see Supplementary Note 5 for details).

We looked for such signals in the case of Spain by testing whether a cluster (inferred by fineSTRUCTURE) has a within-cluster coancestry that is, on average, smaller than its coancestry with another cluster. We used the 26 clusters (indicated with symbols on the axes in Fig. 4a), which contained at least 13 individuals. To avoid potential bias due to uneven sizes of the clusters, we estimated within-cluster coancestry levels by randomly sub-sampling (without replacement, as coancestry is only defined between two different individuals) each of the 26 clusters such that there were of equal size (13). We re-computed the coancestry matrix using CHROMOPAINTER, and the same set of parameters as in fineSTRUCTURE analysis A, but using this smaller subset. We repeated this 200 times and used these resamples to compare coancestry levels across clusters. For each resample and each cluster we computed the mean of the coancestry values within that cluster (excluding zeros on the diagonals), and with each of the other clusters. We then computed a p-value using the number of resamples (S) for which the mean within-cluster coancestry is smaller than the mean coancestry with each of the other clusters. That is: \(= \frac{{S + 1}}{{201}}\) . Results are shown in Fig. 4b, c.

Principal components and FST

For both PCA and FST analyses we used a set of 143,599 LD-pruned SNPs (r2 < 0.2) by applying the ‘--indep-pairwise r2’ command in PLINK (v1.7)42, and excluded regions of long-range LD derived from43. We computed principal components of the genotype calls using the software Shellfish44, and FST between different groups of individuals using EIGENSOFT (v5.0.1)45. We conducted two FST analyses: one using autonomous community as group labels, and the other using clusters inferred by fineSTRUCTURE as group labels.

In the FST analysis using autonomous community as group labels the strongest differentiation (but still weak, at 0.002) is between the Basque-speaking regions and all other regions, and between Galicia and other regions (Supplementary Figure 9b). The principal components analysis revealed a similar pattern, separating the same regions (Supplementary Figure 9a). The range of pairwise FST values is higher when grouping individuals by the clusters inferred by fineSTRUCTURE (0–0.008) (Supplementary Figure 9c). This highlights fineSTRUCTURE’s ability to find clusters of individuals who share genetic drift, and reveals two highly drifted clusters within Galicia and the Basque region.

Defining donor groups

In order to define a set of donor groups using the combined European, north African, and sub-Saharan African individuals, we applied fineSTRUCTURE as described above in several rounds, each using the following sets of individuals:

(CI) All individuals combined (excluding Spanish but including Portuguese)

(CII) Individuals from north Africa only

(CIII) Individuals from Europe only

In analysis CI, fineSTRUCTURE cleanly split the three main groups corresponding to Europe, north Africa, and sub-Saharan Africa, as well as inferring finer sub-structure. However, in order to maximise the power to detect finer scale structure28, we obtained fineSTRUCTURE results for the north African and European groups independently. That is, using coancestry matrices that only allow copying within each set of individuals in CII and CIII, respectively. We then defined a set of donor groups based on the clusters and hierarchical trees inferred by fineSTRUCTURE in these three analyses. We considered the following factors in defining donor groups. Ideally, each donor group would contain about the same number of samples, and not be too small. Donor groups should also be relatively homogeneous with respect to their shared ancestry with the population of interest (in this case Iberia), although could be heterogeneous within themselves. We therefore prioritised donor group size over capturing finer scale structure that might exist within donor groups themselves. See Supplementary Note 6 for full details. Our procedure resulted in a total of 29 donor groups with median size 30, and minimum size 16, totalling 1386 individuals (not including Portuguese). Their locations are shown in Fig. 6a. Labels of the inferred groups are based on the sampling locations of most of the individuals in a given group. In some cases the majority of individuals were split across two locations, and this is indicated by a multi-region label (e.g. Germany–Hungary).

Treatment of Portugal

One cluster in the fineSTRUCTURE analysis CIII overlaps significantly (98%) with the individuals with grandparental origins in Portugal as reported by the data source (POPRES). For the purposes of the analyses in this chapter (and fineSTRUCTURE analysis B), this group of 117 individuals is referred to as ‘Portugal’ or ‘Portuguese individuals’ (e.g. in Fig. 6a). The strong genetic similarity between individuals from Portugal and Spanish individuals, especially those located in Galicia (Fig. 2a), means they are likely to share a similar admixture history, and including Portugal as a donor group would mask the signal from those shared events. We therefore excluded them from the set of donor groups and instead treated them in the same way as the Spanish individuals, bringing the total number of Iberian samples we analysed to 1530. This is analogous to the rationale for excluding Ireland as a donor group in the British Isles study6.

Clustering based on haplotype sharing with external groups

Here we describe the method we used to infer clusters of Iberian individuals with distinct patterns of haplotype sharing with external groups. We used the fineSTRUCTURE clustering algorithm but with a modified version of the input coancestry matrix. Specifically, we compute the coancestry (using CHROMOPAINTER) between each Iberian individual and each of the non-Iberian individuals, as described above, but only allowing Iberian individuals to copy from non-Iberian individuals. This results in a rectangular matrix, X, with N rows and M columns, where N is the number of Iberian individuals and M the number of non-Iberian individuals. We then constructed an (N + M) × (N + M) square matrix C, such that,

$${\boldsymbol{C}} = \left( {\begin{array}{*{20}{c}} 0 & {{X}} \\ 0 & {{Y}} \end{array}} \right)$$

(1)

and matrix Y contains zeros, except for each of the (block) diagonal entries corresponding to pairs of individuals within the same donor population k. These entries each take the value gk, which is determined such that the mean of all the entries corresponding to donor population k are the same for the sub-matrix X as the sub-matrix Y. The zeros in the matrix C have the effect of not allowing any copying from or to the Iberian individuals to contribute to the fineSTRUCTURE likelihood. We then run fineSTRUCTURE algorithm using the force file option (-F), where each ‘continental’ group is a donor group, thus only allowing splits and merges to take place among Iberian individuals. We used a c-factor of 0.0579, which was computed in the manner described in Supplementary Note 2.2, but using segments of DNA from a CHROMOPAINTER run where we only allowed Iberian individuals to copy from non-Iberian individuals.

Estimating ancestry profiles

We estimated ancestry profiles for each of the Iberian clusters using the procedure described previously6. Briefly, we use CHROMOPAINTER to compute a coancestry vector for each Iberian individual, where we only allow them to copy from haplotypes in the donor groups (as with matrix X above), and then average the coancestry vectors within each cluster and donor group. For each Iberian cluster i, we then find a smaller set of donor groups which together (as a non-negative linear mixture whose coefficients sum to 1) best explains its cluster-averaged coancestry vector, \(\bar y_i\) (see Supplementary Note 7.1 for full details). The vector of coefficients in the linear mixture is the ancestry profile for cluster i, and its elements sum to 1. Results for six Iberian clusters are shown in Fig. 6b. We also performed a complementary analysis where we treated each donor group in turn as \(\bar y_i\), after removing their corresponding elements in the coancestry vectors and re-normalising (Supplementary Figure 4; Supplementary Note 7.1).

We measured uncertainty in these ancestry profiles by re-estimating the cluster-averaged coancestry vectors using a set of pseudo individuals. Each pseudo individual is formed by randomly selecting an individual in cluster i for each chromosome, and summing the observed chromosome-level coancestry vectors across all chromosomes. We then compute 1000 such re-estimations and report the range of the inner 95% of the resulting bootstrap distribution.

Spatially smoothed ancestry profiles

The availability of fine-scale geographic information for many of the Spanish individuals allowed us to estimate the spatial distribution of shared ancestry (Fig. 5c, d; Supplementary Figure 5). Instead of averaging coancestry over individuals within a cluster, we average across geographic space using a Gaussian kernel smoothing method that varies the kernel band-width depending on the density of available data points (see Supplementary Note 7.2 for details). This gives a set of coancestry vectors, \(\bar y_s\), for each grid-point s in a fine spatial grid across Spain. We then compute ancestry profiles for each of the grid-points in the same way as for the Iberian clusters (described above), but setting \(\bar y_i = \bar y_s\) instead of a cluster-averaged coancestry vector. We visualize the results by colouring each grid-point according to the value of its coefficient for a single donor population of interest (e.g. NorthMorocco in Fig. 5c). For any grid-point s and individual i located within the borders of Portugal we set all \(\bar y_s\) to be the average coancestry vector across these individuals, because we have no fine-scale geographic information for them. This means in Portugal there is always one colour plotted.

Estimating admixture dates and source populations

We used the GLOBETROTTER algorithm to estimate dates, proportions and configurations of admixture events25. Briefly, GLOBETROTTER uses ‘paintings’ from the CHROMOPAINTER algorithm to construct coancestry curves. These curves measure the rate of decay of linkage disequilibrium with genomic distance, between sites with ancestry from a pair of source populations. The parameters of exponential functions fitted to these curves (decay rates and intercepts) are used to estimate admixture dates, admixture proportions, and the best fitting mix of modern-day groups that characterise the ancestral populations involved in an admixture event.

We conducted two analyses using GLOBETROTTER. The first (gtA) was designed to detect admixture event(s) in the history of Iberia that might involve any combination of non-Iberian source populations, without any prior assumptions on the nature of the event. The second analysis (gtB) was designed to detect only admixture event(s) involving a Basque-like source population, i.e. based on a prior hypothesis. In each case we defined a set of target groups within which to look for an admixture event; a set of donor groups, which we allow to be donors in the initial painting; and a set of surrogate populations, which we allowed GLOBETROTTER to consider as components of any admixture event (Supplementary Table 2).

After identifying the presence of admixture based on criteria recommended by the authors, we next evaluated the evidence for more complex admixture events (e.g. multiple dates or more than two source populations). GLOBETROTTER automatically tests for these using a series of criteria based on how well the coancestry curves fit the models for different types of admixture scenarios25. Using GLOBETROTTER’s automated criteria, in analysis gtB there was no evidence that a two-date admixture model fitted better than a one-date model. However, for some target populations in analysis gtA there was some evidence for a two-date admixture event, although the one-date event fit well in all cases (Supplementary Table 3a). Given the potentially complex nature of admixture in Iberia, we further evaluated the evidence for a two-date admixture event by considering the model fits for each coancestry curve separately (Supplementary Figure 7; Supplementary Note 8.2). Notably, only the coancestry curves involving a sub-Saharan African surrogate group fit better to a two-date admixture event. The improved fit for the curve for the sub-Saharan African surrogate group ‘Nigeria.YRI1’ is visually apparent in the coancestry curve shown in Supplementary Figure 7. We therefore consider the one-date admixture event to be a better fit overall, but that there is some evidence for a second event involving sub-Saharan African-like DNA mixing with European-like DNA, with the strongest evidence for this in the Iberian cluster, ‘Portugal-Andalucia’. In the target groups where there is evidence of this, GLOBETROTTER infers dates in the range 1370–1700 CE (assuming a 28-year generation time).

Ethics statement

The collection of the Spanish genotype data was approved by the “Comité Ético de Investigación Clínica de Galicia”, and each of the institutional review boards of the participating hospitals. All samples were obtained with written informed consent reviewed by the ethical board of the corresponding hospital, in accordance with the tenets of the Declaration of Helsinki. A previous analysis of these data was published in 201327. All other data used in the paper were previously published and are publicly available for research use.

Code availability

Some specialist code used in the paper, which is not already publicly available, will be made available for academic research on request. We used the following versions of software: Birdsuite v1.4, KING v1.4, QCTOOL v1, SHAPEIT v2, PLINK v1.7, CHROMOPAINTER v2, fineSTRUCTURE v0.0.5, GLOBETROTTER v3, EIGENSOFT v5.0.1. Details of parameters used in particular analyses are in the relevant section of Methods or Supplementary Information.

Data availability

Data for the Spanish cohort were previously published38 and the individual-level genotype data were used here with permission from those authors. While these data are not yet made openly accessible, they can be made available for academic research on request. All other data sets used in the paper have been previously published, and are publicly available for research use. Specifically, European samples were sourced from POPRES41 (dbGaP Study Accession: phs000145.v4.p2; approved project number: 6507); north African samples were sourced from a previous publication30 (accessed via http://www.biologiaevolutiva.org/dcomas/north-african-affy-6–0-data-henn-et-al-submitted/); sub-Saharan African samples from Hapmap Phase 331 (accessed via ftp://ftp.ncbi.nlm.nih.gov/hapmap/phase_3/).

References

  1. 1.

    Novembre, J. et al. Genes mirror geography within Europe. Nature456, 98–101 (2008).

    ADSCASArticle Google Scholar

  2. 2.

    Menozzi, P., Piazza, A. & Cavalli-Sforza, L. Synthetic maps of human gene frequencies in Europeans. Science201, 786–792 (1978).

  3. 3.

    Li, J. Z. et al. Worldwide human relationships inferred from genome-wide patterns of variation. Science319, 1100–1104 (2008).

    ADSCASArticle Google Scholar

  4. 4.

    Ralph, P. & Coop, G. The geography of recent genetic ancestry across Europe. PLoS Biol.11, e1001555 (2013).

    CASArticle Google Scholar

  5. 5.

    Pritchard, J. K., Stephens, M. & Donnelly, P. Inference of population structure using multilocus genotype data. Genetics155, 945–959 (2000).

    CASPubMedPubMed Central Google Scholar

  6. 6.

    Leslie, S. et al. The fine-scale genetic structure of the British population. Nature519, 309–314 (2015).

    CASArticle Google Scholar

  7. 7.

    Hunter-Zinck, H. et al. Population genetic structure of the people of Qatar. Am. J. Hum. Genet.87, 17–25 (2010).

    CASArticle Google Scholar

  8. 8.

    van Dorp, L. et al. Evidence for a common origin of blacksmiths and cultivators in the Ethiopian Ari within the last 4500 years: lessons for clustering-based inference. PLoS. Genet.11, e1005397 (2015).

    Article Google Scholar

  9. 9.

    Mathieson, I. & McVean, G. Differential confounding of rare and common variants in spatially structured populations. Nat. Genet.44, 243–246 (2012).

    CASArticle Google Scholar

  10. 10.

    Carr, R. Spain: a History (Oxford University Press, Oxford, 2000).

  11. 11.

    Adams, S. M. et al. The genetic legacy of religious diversity and intolerance: paternal lineages of Christians, Jews, and Muslims in the Iberian Peninsula. Am. J. Hum. Genet.83, 725–736 (2008).

    CASArticle Google Scholar

  12. 12.

    Brion, M. et al. Micro-geographical differentiation in Northern Iberia revealed by Y-chromosomal DNA analysis. Gene329, 17–25 (2004).

    CASArticle Google Scholar

  13. 13.

    Calafell, F. & Bertranpetit, J. Principal component analysis of gene frequencies and the origin of Basques. Am. J. Phys. Anthropol. 93, 201–215 (1994).

  14. 14.

    Rodriguez-Ezpeleta, N. et al. High-density SNP genotyping detects homogeneity of Spanish and French Basques, and confirms their genomic distinctiveness from other European populations. Hum. Genet.128, 113–117 (2010).

    Article Google Scholar

  15. 15.

    Gayan, J. et al. Genetic structure of the Spanish population. BMC Genom.11, 326 (2010).

    Article Google Scholar

  16. 16.

    Flores, C. et al. Reduced genetic structure of the Iberian peninsula revealed by Y-chromosome analysis: implications for population demography. Eur. J. Hum. Genet.12, 855–863 (2004).

    CASArticle Google Scholar

  17. 17.

    Comas, D. et al. Alu insertion polymorphisms in NW Africa and the Iberian Peninsula: evidence for a strong genetic boundary through the Gibraltar Straits. Hum. Genet.107, 312–319 (2000).

    CASArticle Google Scholar

  18. 18.

    Pino-Yanes, M. et al. North African influences and potential bias in case-control association studies in the Spanish population. PLoS One6, e18389 (2011).

    ADSCASArticle Google Scholar

  19. 19.

    Brion, M., Salas, A., Gonzalez-Neira, A., Lareu, M. V. & Carracedo, A. Insights into Iberian population origins through the construction of highly informative Y-chromosome haplotypes using biallelic markers, STRs, and the MSY1 minisatellite. Am. J. Phys. Anthropol.122, 147–161 (2003).

    CASArticle Google Scholar

  20. 20.

    Busby, G. B. J. et al. The role of recent admixture in forming the contemporary West Eurasian genomic landscape. Curr. Biol.25, 2518–2526 (2015).

    CASArticle Google Scholar

  21. 21.

    Baran, Y., Quintela, I., Carracedo, Á., Pasaniuc, B. & Halperin, E. Enhanced localization of genetic samples through linkage-disequilibrium correction. Am. J. Hum. Genet.92, 882–894 (2013).

    CASArticle Google Scholar

  22. 22.

    Boone, J. L. & Benco, N. L. Islamic settlement in North Africa and the Iberian peninsula. Annu. Rev. Anthropol.28, 51–71 (1999).

    Article Google Scholar

  23. 23.

    Lazaridis, I. et al. Ancient human genomes suggest three ancestral populations for present-day Europeans. Nature513, 409–413 (2014).

    ADSCASArticle Google Scholar

  24. 24.

    Moorjani, P. et al. The history of African gene flow into Southern Europeans, Levantines, and Jews. PLoS. Genet.7, e1001373 (2011).

    CASArticle Google Scholar

  25. 25.

    Hellenthal, G. et al. A genetic atlas of human admixture history. Science343, 747–751 (2014).

    ADSCASArticle Google Scholar

  26. 26.

    Botigue, L. R. et al. Gene flow from North Africa contributes to differential human genetic diversity in southern Europe. Proc. Natl Acad. Sci. USA110, 11791–11796 (2013).

    ADSCASArticle Google Scholar

  27. 27.

    Capelli, C. et al. Moors and Saracens in Europe: estimating the medieval North African male legacy in southern Europe. Eur. J. Hum. Genet.17, 848–852 (2009).

    CASArticle Google Scholar

  28. 28.

    Lawson, D. J., Hellenthal, G., Myers, S. & Falush, D. Inference of population structure using dense haplotype data. PLoS. Genet.8, e1002453 (2012).

    CASArticle Google Scholar

  29. 29.

    Baldinger, K. La Formación de los Dominios Lingüísticos en la Península Ibérica (Gredos, 1963).

  30. 30.

    Henn, B. M. et al. Genomic ancestry of North Africans supports back-to-Africa migrations. PLoS. Genet.8, e1002397 (2012).

    CASArticle Google Scholar

  31. 31.

    Consortium, T. I. H. Integrating common and rare genetic variation in diverse human populations. Nature467, 52–58 (2010).

    ADSArticle Google Scholar

  32. 32.

    Barton, S. A History of Spain (Palgrave Macmillan, London, 2009).

  33. 33.

    Ṭāhā, A.-W. D. The Muslim Conquest and Settlement of North Africa and Spain (Routledge, 1989).

  34. 34.

    Pallares, M. C. P. & Portela, E. E. in Galicia Historia Vol. 2 (eds Iglesias, P. N. R. et al.) 59–61 (Hércules de Ediciones, 1998).

  35. 35.

    Cavalli-Sforza, L. L., Moroni, A. & Zei, G. Consanguinity, Inbreeding, and Genetic Drift in Italy (Princeton University Press, New Jersey, 2004).

  36. 36.

    Takeuchi, F. et al. The fine-scale genetic structure and evolution of the Japanese population. PLoS One12, e0185487 (2017).

    Article Google Scholar

  37. 37.

    Arias, M., García-Murias, M. & Sobrido, M. J. Spinocerebellar ataxia 36 (SCA36): “Costa da Morte ataxia”. Neurología (Engl. Ed.)32, 386–393 (2017).

    CASArticle Google Scholar

  38. 38.

    Fernandez-Rozadilla, C. et al. A colorectal cancer genome-wide association study in a Spanish cohort identifies two variants associated with colorectal cancer risk at 1p33 and 8p12. BMC Genom.14, 55 (2013).

    CASArticle Google Scholar

  39. 39.

    Delaneau, O., Zagury, J. F. & Marchini, J. Improved whole-chromosome phasing for disease and population genetic studies. Nat. Methods10, 5–6 (2013).

    CASArticle Google Scholar

  40. 40.

    The 1000 Genomes Project Consortium. A map of human genome variation from population-scale sequencing. Nature467, 1061–1073 (2010).

    Article Google Scholar

  41. 41.

    Nelson, M. R. et al. The population reference sample, POPRES: a resource for population, disease, and pharmacological genetics research. Am. J. Hum. Genet.83, 347–358 (2008).

    CASArticle Google Scholar

  42. 42.

    Purcell, S. et al. PLINK: a toolset for whole genome association and population-based linkage analyses. Am. J. Hum. Genet. 81, 559–575 (2007).

  43. 43.

    Price, A. L. et al. Long-range LD can confound genome scans in admixed populations. Am. J. Hum. Genet.83, 132–135; author reply 135–139 (2008).

    CASArticle Google Scholar

  44. 44.

    Davison, D. Shellfish: Parallel PCA and Data Processing for Genome-wide SNP Data. Department of Statistics, University of Oxford, http://www.stats.ox.ac.uk/~davison/software/shellfish/shellfish.php (2011).

  45. 45.

    Patterson, N., Price, A. L. & Reich, D. Population structure and eigenanalysis. PLoS. Genet.2, e190 (2006).

    Article

Sours: https://www.nature.com/articles/s41467-018-08272-w
My AncestryDNA results are here (NOT as Portuguese as I thought)

Ancient migration transformed Spain's DNA

By Paul Rincon
Science editor, BBC News website

Image source, L Benitez de Lugo Enrich - Jose Luis Fuentes Sanch

A migration from Central Europe transformed the genetic make-up of people in Spain during the Bronze Age, a study reveals.

DNA evidence shows the migrants streamed over the Pyrenees, replacing existing male lineages across the region within a space of 400 years.

It remains unclear whether violence played a role or whether a male-centric social structure was more important.

The result comes from the most extensive study of its kind.

Researchers reconstructed the population history of Iberia (modern Spain, Portugal, Gibraltar and Andorra) over 8,000 years - the biggest slice of time tackled by a single ancient DNA study. The region has been a crossroads for different cultures over time.

They extracted and analysed DNA from 403 Iberians who lived between 6,000 BC and AD 1,600.

The Bronze Age migrants traced some of their ancestry to Neolithic (Stone Age) farmers found throughout Europe - including Spain - while the rest of their genetic make-up was like that of people living at the time on the Russian steppe.

This steppe ancestry was introduced to Europe by nomadic herders who migrated west from Asia and the eastern fringes of Europe.

One of the triggers may have been a crisis that caused population numbers to plunge in Europe towards the end of the Neolithic period (which preceded the Bronze Age). Recent studies suggest plague might have played a role.

As the steppe people moved west, they picked up elements of culture from people they mixed with along the way. In Central Europe, one such mixed culture known as the Bell Beaker tradition formed. The Beakers and their descendants may have established highly stratified (unequal) societies in Europe, including Iberia - where they start turning up from 2,500BC.

Image source, MAN / Mario Torquemada

The researchers looked at the Y chromosome - a package of DNA passed down more or less unchanged from father to son. It can be used to track male-line inheritance. By about 2,000BC, local Y chromosome lineages had been eliminated from the Iberian gene pool, in favour of those carried by the newcomers.

When the team analysed DNA from across the genome - the full complement of genetic material found in the nuclei of cells - they found that later Iberians traced 40% of their ancestry to the new population.

The newcomers - of Bell Beaker origin - brought innovations such as bronze-working (including the manufacture of bronze weapons) and were probably riding horses. These may have given them a military advantage over Stone Age farming societies, but also probably conferred higher social status on males carrying these traditions.

Co-author Iñigo Olalde, from Harvard Medical School, US, said: "It would be a mistake to jump to the conclusion that Iberian men were killed or forcibly displaced." He added: "The archaeological record gives no clear evidence of a burst of violence in this period."

Instead, the high social status of male newcomers may have been linked to greater reproductive success. "Their male descendants would have inherited the wealth and social status, and themselves also had much higher reproductive success," Dr Olalde told BBC News.

A system that emphasised male power and inheritance could have been key: "A patrilineal and possibly patriarchal social structure would further amplify the observed patterns, as possibly only the first-born son would inherit the clan's properties, whereas the other sons would move out and try to established their own clans, further spreading their Y lineages over new territories," he said.

An even more extreme pattern of replacement occurred at much the same time in Britain, where Beakers replaced 90% of the overall ancestry that was there before they arrived.

"At least in the east and the south-east, we see a change in the settlement patterns... which lasts until the arrival of the Romans," said co-author Dr Carles Lalueza-Fox, from the University of Barcelona.

In this region, the Iron Age Iberian culture established fortified settlements on high ground.

"The Iberians lived in hill settlements and were a violent society, structured along tribal lines. Something clearly changes the social structure that existed in the late Neolithic."

Image source, Jeff Greenberg

Looking at human remains from an earlier period, the study found that Stone Age hunter-gatherers who traced a significant percentage of their ancestry to some of Europe's earliest settlers, survived in southern Spain until the spread of farming 6,000 years ago.

The team also studied genome data from Moorish Spain (AD 711-1492), when parts of the peninsula were under the control of Muslim emirs of North African origin.

Image source, Getty Images

North African influence was present in Iberia from at least the Bronze Age. But the researchers found a dramatic shift in the genetic make-up of people from Moorish-controlled regions after the medieval "Reconquista", when Christian armies seized back control of the peninsula. The conquerors expelled many Muslims, although some were allowed to stay if they converted to Christianity.

While many Moorish individuals analysed in the study seem to have been a 50:50 mix of North African and Iberian ancestry, North African ancestry in the peninsula today averages just 5%.

Modern Iberians derive about 50% of their ancestry from Neolithic farmers, 25% from ancient hunter-gatherers, and 20% from the steppe people.

Faces from Iberia's past

Image source, Archivo Museu d'Arquologia de Catalunya

People from the Iron Age Iberian civilization of Spain's east coast generally cremated their dead. The cremation process prevented scientists from extracting DNA from these remains. While the culture was responsible for great works of art, such as the Dama de Elche sculpture, the Iberians also had a violent side. They hammered large nails through the severed heads of enemies killed in combat and exhibited them in public spaces as war trophies. Some 40 such heads were found in the Iberian settlement of Ullastret, allowing scientists to analyse DNA from them.

Two burials in the study were revealed to have high levels of black African ancestry. Both of the individuals were from Granada in southwest Spain, where the last Muslim emirate held out until it was conquered by Christians in 1492. One of the people came from a 10th Century cemetery where bodies were buried in the Islamic tradition - oriented in the direction of Mecca. The other individual is from the 16th Century, after the Christian conquest of Granada. This woman is thought to be from the Morisco community - former Muslims who converted to Christianity (only to be expelled from Spain later on).

After the fall of the Roman Empire, wandering tribes from northern and eastern Europe streamed into Iberia. The Visigoths, who spoke a language related to Swedish, German and English, assumed control of the region. They founded the Spanish monarchy that continues today and introduced laws that formed the basis of those used by later Christian kingdoms. Burials from Pla de l'Horta in northeastern Spain include a mother and daughter of Visigothic origin. Their genomes suggest they had recent ancestry from Eastern Europe, while DNA from the cell's batteries, or mitochondria - which is passed more or less unchanged from mother to children - is of a type associated with East Asian populations. It's a sign of the genetic complexity of the Eastern steppe region where their roots lay.

Sours: https://www.bbc.com/news/science-environment-47540792

Ancestry spain dna

1

The individual, who was discovered in an eleventh century Islamic necropolis from the city of Segorbe, near Valencia in Spain, is known to local archaeologists as the 'Segorbe Giant' because of his unusual height.

His skeleton had suggested that he might have some African ancestry. Most of Spain had been progressively conquered by Arabs and Berbers from Northwest Africa from the eighth century onwards, creating one of the major centres of medieval European civilisation.

The ancient DNA analysis was carried out by Dr Marina Silva and Dr Gonzalo Oteo-Garcia, who had been working on the University's Leverhulme Trust doctoral scholarship programme in evolutionary genomics.

They found that the "Giant" carried highly specific North African genetic lineages on both his male and female lines of descent -- the Y-chromosome and the mitochondrial DNA -- the oldest individual known to have this particular pattern of ancestry. This suggested that his recent ancestry was indeed amongst the newly Islamicised Berber populations of medieval Northwest Africa.

But a more detailed examination revealed a more complex situation. The male and female lines of descent account for only a small fraction of our overall ancestry -- that from our father's father's father and our mother's mother's mother, and so on.

His genome-wide ancestry showed that he also carried a significant amount -- likely more than half -- of local Spanish ancestry in his chromosomes. Moreover, stable isotope analyses suggested that he most likely grew up locally meaning the "Giant's" Berber ancestry was in fact due to migration from an earlier generation. He therefore belonged to a settled community that had thoroughly intermixed local Spanish and immigrant North African ancestry.

What was especially striking revealed Professor Martin Richards, Director of the University's Evolutionary Genomics Research Centre, was that he was very unlike modern people from Valencia, who carry little or none of his Berber genetic heritage.

This can be explained by the changing political situation following the Christian reconquest of Spain as Dr Oteo-Garcia, who recently commenced work at the University of Parma, explained: "The decree of expulsion of Moriscos from the Valencia region, that is, Muslims who had already been forcibly converted to Christianity, was followed by the resettlement by people from further north, who had little North African ancestry, thereby transforming the genetic variation in the region."

Dr Silva, who now works at London's Francis Crick Institute, said: "The impact of this dramatic change in population, resulting from a brutal political decision hundreds of years ago, can finally be witnessed directly using ancient DNA, as seen here in the ancestry of the 'Segorbe Giant' and his contemporaries."

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Story Source:

Materials provided by University of Huddersfield. Note: Content may be edited for style and length.


Journal Reference:

  1. Marina Silva, Gonzalo Oteo-García, Rui Martiniano, João Guimarães, Matthew von Tersch, Ali Madour, Tarek Shoeib, Alessandro Fichera, Pierre Justeau, M. George B. Foody, Krista McGrath, Amparo Barrachina, Vicente Palomar, Katharina Dulias, Bobby Yau, Francesca Gandini, Douglas J. Clarke, Alexandra Rosa, António Brehm, Antònia Flaquer, Teresa Rito, Anna Olivieri, Alessandro Achilli, Antonio Torroni, Alberto Gómez-Carballa, Antonio Salas, Jaroslaw Bryk, Peter W. Ditchfield, Michelle Alexander, Maria Pala, Pedro A. Soares, Ceiridwen J. Edwards, Martin B. Richards. Biomolecular insights into North African-related ancestry, mobility and diet in eleventh-century Al-Andalus. Scientific Reports, 2021; 11 (1) DOI: 10.1038/s41598-021-95996-3

Cite This Page:

University of Huddersfield. "Ancient DNA analysis sheds light on dark event in medieval Spain." ScienceDaily. ScienceDaily, 23 September 2021. <www.sciencedaily.com/releases/2021/09/210923115624.htm>.

University of Huddersfield. (2021, September 23). Ancient DNA analysis sheds light on dark event in medieval Spain. ScienceDaily. Retrieved October 18, 2021 from www.sciencedaily.com/releases/2021/09/210923115624.htm

University of Huddersfield. "Ancient DNA analysis sheds light on dark event in medieval Spain." ScienceDaily. www.sciencedaily.com/releases/2021/09/210923115624.htm (accessed October 18, 2021).


Sours: https://www.sciencedaily.com/releases/2021/09/210923115624.htm
My DNA test results ! Am I really Spanish ? Myheritage.com

Can you find out if you have Iberian ancestry?

Iberia is the name used for Europe’s most southwesterly peninsula, which is comprised of modern-day Portugal, Spain, Gibraltar, Andorra, and France’s Cerdagne region. The name was given to the region by the Greeks, and has its roots in the name of the Ebro river. Early human species inhabited this region over a million years ago, and a large portion of people on Earth today will have had an ancestor that passed through Iberia.

40,000 years after anatomically modern humans first set foot here, the region now boasts some of the best ham in the world, several international football trophies, and some of the history’s best artists.

The bronze age was a pivotal point in Iberian history, as tribes began to grow and form distinct cultures, such as the Celts in the North-west, Tartessians in the South-West, Cogotas in the centre, and Phoenicians along the coast. Many of the cultures that roamed these lands left little trace of their existence and some are even branded ‘semi-mythical’, somewhat romanticising the interest in these beautiful environments. Iberia has been and remains a melting pot of European, African, and Mediterranean settlers, making it an interesting place for genetic tests.

Can you find out if you have Iberian ancestry?

A common Y-DNA haplogroup in Iberia is R1b, which is present in most males in the region (over 70% on average and up to 90% in some areas), which means that they share an ancient common male ancestor. If you have this haplogroup, you share that ancestor with them.

As well as that, there are some other genetic markers in your autosomal DNA that can provide further information about more recent ancestry. While we cannot tell you specifically who you are descended from, we can show you if your ancestors lived in Iberia.

Is it an easy process to find out if your ancestors were Iberians?

The process couldn’t be easier. You will simply need to purchase an ancestry DNA kit from Living DNA, which will display information about your ancestry from all over the world and highlight if we have been able to identify any Iberian ancestry. There are loads of cool perks to going through the testing journey with Living DNA, such as:

  1. Having the most informative sub-regional ancestry information in the market - an absolutely vital consideration for the Iberian peninsula
  2. Recent ancestry that explores the last 500-1000 years of your ancestry
  3. Extended ancestry information, going back tens of thousands of years to show you where your ancestors came from and how they moved across the world
  4. Seeing if you have any DNA test matches in our system!

What else should you know about your potentially Iberian ancestry?

The majority of Southern Iberia was taken over by the Moors, Arabs and Berbers of North Africa in the 7th Century, and it wasn’t until 1492, after the northern territories of Aragon, Leon, and Castille united through the marriage of Isabella and Ferdinand II that the Arabs and Berbers were defeated and expelled. Since then, influxes of people into Iberia have been relatively minor, and are predominantly from Eastern Europe, North Africa, Britain, or Latin America.

People leaving Iberia however, is a different matter altogether. At around the same time as the Arabs and Berbers were leaving Spain, the American continent was discovered by European explorers, and a large scale migration of people from the Iberian continent to the “new world” began. Because of this, many Central and South Americans are very likely to have Iberian ancestry. In fact, most Spanish speakers around the world can find some links to an Iberian heritage.

What genetic markers are used for Iberian ancestry identification?

The R1b Haplogroup we mentioned before is the most common one among Spanish and Portuguese men, who comprise the vast majority of the Iberian population.

What’s also interesting about the Iberian genetic makeup is that during the Bronze Age, there seemed to be a huge migration of Steppe people, from what is now the South Russian region between the Black and Caspian seas. This means that there are traces of genetic markers common in these populations today which can also be found in modern Iberian populations.

Where did the Iberians come from, and where did they go?

As we’ve explained in this article, the Iberians came from so many different sources that rather than ending up as one distinct culture or race, they are a mix.

The Basques of Northern Iberia share little in common genetically with the Andalusians of the South, and the Andorrans are a long-settled mountain people with their own vernacular who have traditionally acted as a buffer between France and Spain.

The Portuguese are a distinct ancestral group as well, defined by the A26-B38-DR13 gene, which can also be found in tens of millions of people in Brazil, Venezuela, and France, and even in Cape Verde, Mozambique, Angola, and more. You can read more on the subject here.

How can you prove Iberian ancestry?

You may be quite certain about your Iberian heritage because of your name or family history, or you may just have a hunch based on family stories. Now you can delve into the unknowns of your ancestral past by purchasing a full ancestry DNA kit from Living DNA. Once it arrives, all you have to do is a quick mouth swab and send the kit back to us to help establish whether you have Iberian heritage or not.

Sours: https://livingdna.com/blog/iberian-ancestry

You will also like:

Genetic history of the Iberian Peninsula

5 component admixture plots for various contemporary Iberian populations against other European, West Asian, North African and West African populations.[1]

The ancestry of modern Iberians (comprising the Spanish and Portuguese) is consistent with the geographical situation of the Iberian Peninsula in the south-west corner of Europe. As is the case for most of the rest of Southern Europe, the principal ancestral origin of modern Iberians are Early European Farmers who arrived during the Neolithic. The large predominance of Y-Chromosome Haplogroup R1b, common throughout Western Europe, is testimony to a considerable input from various waves of (predominantly male) Western Steppe Herders from the Pontic-Caspian Steppe during the Bronze Age[3][4] Similar to Sardinia, Iberia was shielded from settlement from the Bosporus and Caucasus region by its western geographic location, and thus has lower levels of Western Asian and Middle Eastern admixture than Italy and the southern Balkan Peninsula, most of which probably arrived during historic rather than prehistoric times, especially in the Roman period.[5][6]

Except for Malta and the Italian island of Sicily, most of Iberia has higher levels of North African admixture than is found in the rest of Europe,[7] (from this study it follows that the contribution of northern African lineages to the entire male gene pool of Iberia, continental Italy, and Sicily can be estimated as 5.6%, 3.6%, and 6.6%, respectively) which is largely ascribed to settlement during the Carthaginian and Islamic periods.[5][6] The African archipelago of the Canary Islands show a larger North African genetic footprint, inherited from the native Guanches of the archipelago.[8] Significant genetic differences are found among, and even within, Spain's different regions, which can be explained by the wide divergence in their historical trajectories and Spain's internal geographic boundaries. The Basque region holds the least Eastern Mediterranean and North African ancestry in Iberia. African influence peaks in the Southern and Western regions of the peninsula, dropping considerably in the northeast (Catalonia and Aragon) and the Basque region.[9][10][11]

Population Genetics: Methods and Limitations[edit]

One of the first scholars to perform genetic studies, although now questioned in its conclusions, was Luigi Luca Cavalli-Sforza. He used classical genetic markers to analyse DNA by proxy. This method studies differences in the frequencies of particular allelic traits, namely polymorphisms from proteins found within human blood (such as the ABO blood groups, Rhesus blood antigens, HLA loci, immunoglobulins, G-6-P-D isoenzymes, among others). Subsequently, his team calculated genetic distance between populations, based on the principle that two populations that share similar frequencies of a trait are more closely related than populations that have more divergent frequencies of the trait.[12]

Since then, population genetics has progressed significantly and studies using direct DNA analysis are now abundant and may use mitochondrial DNA (mtDNA), the non-recombining portion of the Y chromosome (NRY) or autosomal DNA. MtDNA and NRY DNA share some similar features which have made them particularly useful in genetic anthropology. These properties include the direct, unaltered inheritance of mtDNA and NRY DNA from mother to offspring and father to son, respectively, without the 'scrambling' effects of genetic recombination. We also presume that these genetic loci are not affected by natural selection and that the major process responsible for changes in base pairs has been mutation (which can be calculated).[13]

Whereas Y-DNA and mtDNA haplogroups represent but a small component of a person's DNA pool, autosomal DNA has the advantage of containing hundreds and thousands of examinable genetic loci, thus giving a more complete picture of genetic composition. Descent relationships can only to be determined on a statistical basis, because autosomal DNA undergoes recombination. A single chromosome can record a history for each gene. Autosomal studies are much more reliable for showing the relationships between existing populations but do not offer the possibilities for unraveling their histories in the same way as mtDNA and NRY DNA studies promise, despite their many complications.[citation needed]

Analyses of nuclear and ancient DNA[edit]

Nuclear DNA analysis shows that Spanish and Portuguese populations are most closely related to other populations of western Europe.[14][15][16] There is an axis of significant genetic differentiation along the east–west direction, in contrast to remarkable genetic similarity in the north–south direction. North African admixture, associated with the Islamic conquest, can be dated to the period between c. AD 860–1120.[17]

A study published in 2019 using samples of 271 iberians spanning prehistoric and historic times proposes the following inflexion points in Iberian genomic history:[18]

  1. Mesolithic: hunter-gatherers from the European Steppes of Western Russia, Georgia and Ukraine are the first humans to settle the northwest of the Iberian Peninsula.
  2. Neolithic: neolithic farmers settle the entire Iberian Peninsula from Anatolia.
  3. Chalcolithic: Inflow of Central European hunter-gatherers and some gene inflow from sporadic contact with North Africa.
  4. Bronze Age: Steppe inflow from Central Europe.
  5. Iron Age: Additional Steppe gene flow from Central Europe, - the genetic pool of the Basque people remains mostly intact from this point on.
  6. Roman period: genetic inflow from Central and Eastern Mediterranean. Some additional inflow of North African genes detected in Southern Iberia.
  7. Visigothic period: no detectable inflows.
  8. Muslim period: Inflow from Northern Africa. Following the Reconquista, there is further genetic convergence between North and South Iberia.

North African influence[edit]

Main article: African admixture in Europe

A number of studies have focused on ascertaining the genetic impact of historical North African population movements into Iberia on the genetic composition of modern Spanish and Portuguese populations. Initial studies pointed to the Straits of Gibraltar acting more as a genetic barrier than a bridge during prehistorical times,[19][20][21] while other studies point to a higher level of recent North African admixture among Iberians than among other European populations,[22][23][24][25][26][11][27] albeit this is as a result of more recent migratory movements, particularly the Moorish invasion of Iberia in the 8th century. In terms of autosomal DNA, the most recent study regarding African admixture in Iberian populations was conducted in April 2013 by Botigué et al. using genome-wide SNP data for over 2000 European, Maghreb, Qatar and Sub-Saharan individuals of which 119 were Spaniards and 117 Portuguese, concluding that Spain and Portugal hold significant levels of North African ancestry. Estimates of shared ancestry averaged from 4% in some places to 10% in the general population; the populations of the Canary Islands yielded from 0% to 96% of shared ancestry with north Africans, although the Canary islands are a Spanish exclave located in the African continent, and thus this output is not representative of the Iberian population; these same results did not exceed 2% in other western or southern European populations.[8][28][29][30] However, contrary to past autosomal studies and to what is inferred from Y-Chromosome and Mitochondrial Haplotype frequencies (see below), it does not detect significant levels of Sub-Saharan ancestry in any European population outside the Canary Islands. Indeed, a prior 2011 autosomal study by Moorjani et al. found Sub-Saharan ancestry in many parts of southern Europe at ranges of between 1-4%, "the highest proportion of African ancestry in Europe is in Iberia (Portugal 4.2±0.3% and Spain 1.4±0.3%), consistent with inferences based on mitochondrial DNA and Y chromosomes and the observation by Auton et al. that within Europe, the Southwestern Europeans have the highest haplotype-sharing with North Africans."[22][26][11]

In terms of paternal Y-Chromosome DNA, recent studies coincide in that Iberia has the greatest presence of the typically Northwest African Y-chromosome haplotype marker E-M81 in Europe, with an average of 3%.[23][24] as well as Haplotype Va.[31][25] Estimates of Y-Chromosome ancestry vary, with a 2008 study published in the American Journal of Human Genetics using 1140 samples from throughout the Iberian peninsula, giving a proportion of 10.6% North African ancestry[26][11][27] to the paternal composite of Iberians. A similar 2009 study of Y-chromosome with 659 samples from Southern Portugal, 680 from Northern Spain, 37 samples from Andalusia, 915 samples from mainland Italy, and 93 samples from Sicily found significantly higher levels of North African male ancestry in Portugal, Spain and Sicily (7.1%, 7.7% and 7.5% respectively) than in peninsular Italy (1.7%).[23]

Other studies of the Iberian gene-pool have estimated significantly lower levels of North African Ancestry. According to Bosch et al. 2000 "NW African populations may have contributed 7% of Iberian Y chromosomes".[20] A wide-ranging study by Cruciani et al. 2007, using 6,501 unrelated Y-chromosome samples from 81 populations found that: "Considering both these E-M78 sub-haplogroups (E-V12, E-V22, E-V65) and the E-M81 haplogroup, the contribution of northern African lineages to the entire male gene pool of Iberia (barring Pasiegos), continental Italy and Sicily can be estimated as 5.6 percent, 3.6 percent and 6.6 percent, respectively".[32] A 2007 study estimated the contribution of northern African lineages to the entire male gene pool of Iberia as 5.6%."[33] In general aspects, according to (Bosch et al. 2007) "...the origins of the Iberian Y-chromosome pool may be summarized as follows: 5% recent NW African, 78% Upper Paleolithic and later local derivatives (group IX), and 10% Neolithic" (H58, H71).[34]

Mitochondrial DNA studies of 2003, coincide in that the Iberian Peninsula holds higher levels of typically North African Haplotype U6,[11][35] as well as higher frequencies of Sub-Saharan African Haplogroup L in Portugal.[36][37][38][39] High frequencies are largely concentrated in the south and southwest of the Iberian peninsula, therefore overall frequency is higher in Portugal (7.8%) than in Spain (1.9%) with a mean frequency for the entire peninsula of 3.8%. There is considerable geographic divergence across the peninsula with high frequencies observed for Western Andalusia (14.6%)[39] and Córdoba (8.3%).,[36] Southern Portugal (10.7%), South West Castile (8%). Adams et al. and other previous publications, propose that the Moorish occupation left a minor Jewish, Saqaliba[40] and some Arab-Berber genetic influence mainly in southern regions of Iberia.[41][26]

The most recent and comprehensive genomic studies establish that North African genetic ancestry can be identified throughout most of the Iberian Peninsula, ranging from 0% to 11%, but is highest in the south and west, while being absent or almost absent in the Basque Country and northeast.[42][5][43]

Current debates revolve around whether U6 presence is due to Islamic expansion into the Iberian peninsula or prior population movements[26][11][27] and whether Haplogroup L is linked to the slave trade or prior population movements linked to Islamic expansion. A majority of Haplogroup L lineages in Iberia being North African in origin points to the latter.[36][38][22][11][44] In 2015, Hernández et al. concluded that "the estimated entrance of the North African U6 lineages into Iberia at 10 ky correlates well with other L African clades, indicating that some U6 and L lineages moved together from Africa to Iberia in the Early Holocene while a majority were introduced during historic times."[45]

Haplogroups[edit]

Y-DNA haplogroup frequencies in the Iberian Peninsula.[26]

Y-Chromosome haplogroups[edit]

Main article: Haplogroup R-DF27

Like other Western Europeans, among Spaniards and Portuguese the Y-DNA Haplogroup R1b is the most frequent, occurring at over 70% throughout most of Spain.[46] R1b is particularly dominant in the Basque Country and Catalonia, occurring at rate of over 80%. In Iberia, most men with R1b belong to the subclade R-P312 (R1b1a1a2a1a2; as of 2017). The distribution of haplogroups other than R1b varies widely from one region to another.

In Portugal as a whole the R1b haplogroups rate 70%, with some areas in the Northwest regions reaching over 90%.[47]

Although R1b prevails in much of Western Europe, a key difference is found in the prevalence in Iberia of R-DF27 (R1b1a1a2a1a2a). This subclade is found in over 60% of the male population in the Basque Country and 40-48% in Madrid, Alicante, Barcelona, Cantabria, Andalucia, Asturias and Galicia.[48] R-DF27 constitutes much more than the half of the total R1b in the Iberian Peninsula. Subsequent in-migration by members of other haplogroups and subclades of R1b did not affect its overall prevalence, although this falls to only two thirds of the total R1b in Valencia and the coast more generally.[46] R-DF27 is also a significant subclade of R1b in parts of France and Britain. R-S28/R-U152 (R1b1a1a2a1a2b) is the prevailing subclade of R1b in Northern Italy, Switzerland and parts of France, but it represents less than 5.0% of the male population in Iberia. Ancient samples from the central European Bell Beaker culture, Hallstatt culture and Tumulus culture belonged to this subclade.[49][50][51] R-S28/R-U152 is slightly significant in Seville, Barcelona, Portugal and Basque Country at 10-20% of the total population, but it is represented at frequencies of only 3.0% in Cantabria and Santander, 2.0% in Castille and Leon, 6% in Valencia, and under 1% in Andalusia.[46]Sephardic JewsI1 0% I2*/I2a 1% I2 0% Haplogroup R1a 5% R1b 13% G 15% Haplogroup J2 2 25% J*/J1 22% E-M2151b1b 9% T 6% Q 2% [52]

Haplogroup J, mostly subclades of Haplogroup J-M172 (J2), is found at levels of over 20% in some regions, while Haplogroup E has a general frequency of about 10% – albeit with peaks surpassing 30% in certain areas. Overall, E-M78 (E1b1b1a1 in 2017) and E-M81 (E1b1b1b1a in 2017) both constitute about 4.0% each, with a further 1.0% from Haplogroup E-M123 (E1b1b1b2a1) and 1.0% from unknown subclades of E-M96.[26] (E-M81 is widely considered to represent relatively historical migrations from North Africa).

Mitochondrial DNA[edit]

MtDNA haplogroup frequencies in the main Iberian regions.[53]

Main articles: Haplogroup H (mtDNA) and Haplogroup U (mtDNA)

There have been a number of studies about the mitochondrial DNA haplogroups (mtDNA) in Europe. In contrast to Y DNA haplogroups, mtDNA haplogroups did not show as much geographical patterning, but were more evenly ubiquitous. Apart from the outlying Sami, all Europeans are characterized by the predominance of haplogroups H, U and T. The lack of observable geographic structuring of mtDNA may be due to socio-cultural factors, namely patrilocality and a lack of polyandry.[54]

The subhaplogroups H1 and H3 have been subject to a more detailed study and would be associated to the Magdalenian expansion from Iberia c. 13,000 years ago:[36]

  • H1 encompasses an important fraction of Western European mtDNA, reaching its local peak among contemporary Basques (27.8%) and appearing at a high frequency among other Iberians and North Africans. Its frequency is above 10% in many other parts of Europe (France, Sardinia, British Isles, Alps, large portions of Eastern Europe), and above 5% in nearly all the continent. Its subclade H1b is most common in eastern Europe and NW Siberia.[55] So far, the highest frequency of H1 - 61%- has been found among the Tuareg of the Fezzan region in Libya.[56]
  • H3 represents a smaller fraction of European genome than H1 but has a somewhat similar distribution with peak among Basques (13.9%), Galicians (8.3%) and Sardinians (8.5%). Its frequency decreases towards the northeast of the continent, though. Studies have suggested haplogroup H3 is highly protective against AIDS progression.[57]
  • Autosomal DNA

A 2007 European-wide study including Spanish Basques and Valencian Spaniards found Iberian populations to cluster the furthest from other continental groups, implying that Iberia holds the most ancient European ancestry. In this study, the most prominent genetic stratification in Europe was found to run from the north to the south-east, while another important axis of differentiation runs east–west across the continent. It also found, despite the differences, that all Europeans are closely related.[58]

Subregions[edit]

Spain[edit]

Frequencies of Y-DNA haplogroups in Spanish regions[26][59]

Portugal[edit]

R1b.jpg

Excerpts from the Abstract of a study published[62] in 2015:

"[...] In the case of Portugal, previous population genetics studies have already revealed the general portrait of HVS-I and HVS-II mitochondrial diversity, becoming now important to update and expand the mitochondrial region analysed. Accordingly, a total of 292 complete control region sequences from continental Portugal were obtained, under a stringent experimental design to ensure the quality of data through double sequencing of each target region.* Furthermore, H-specific coding region SNPs were examined to detail haplogroup classification and complete mitogenomes were obtained for all sequences belonging to haplogroups U4 and U5. In general, a typical Western European haplogroup or Atlantic modal haplotype composition was found in mainland Portugal, associated to high level of mitochondrial genetic diversity. Within the country, no signs of substructure were detected. The typing of extra coding region SNPs has provided the refinement or confirmation of the previous classification obtained with EMMA tool in 96% of the cases. Finally, it was also possible to enlarge haplogroup U phylogeny with 28 new U4 and U5 mitogenomes."

The Atlantic modal haplotype (AMH) or haplotype 15 is a Y chromosomehaplotype of Y-STRmicrosatellite variations, associated with the Haplogroup R1b. It was discovered prior to many of the SNPs now used to identify subclades of R1b and references to it can be found in some of the older literature. It corresponds most closely with subclade R1b1a2a1a(1) [L11].

The AMH is the most frequently occurring haplotype amongst human males in Atlantic Europe. It is characterized by the following marker alleles:

  • DYS388 12
  • DYS390 24
  • DYS391 11
  • DYS392 13
  • DYS393 13
  • DYS394 14 (also known as DYS19)

See also[edit]

References[edit]

  1. ^Hernández CL, Pita G, Cavadas B, López S, Sánchez-Martínez LJ, Dugoujon JM; et al. (2020). "Human Genomic Diversity Where the Mediterranean Joins the Atlantic". Mol Biol Evol. 37 (4): 1041–1055. doi:10.1093/molbev/msz288. PMC 7086172. PMID 31816048.CS1 maint: multiple names: authors list (link)
  2. ^Pimenta J, Lopes AM, Carracedo A, Arenas M, Amorim A, Comas D (2019). "Spatially explicit analysis reveals complex human genetic gradients in the Iberian Peninsula". Sci Rep. 9 (1): 7825. Bibcode:2019NatSR...9.7825P. doi:10.1038/s41598-019-44121-6. PMC 6534591. PMID 31127131.CS1 maint: multiple names: authors list (link)
  3. ^Nelis, Mari; Esko, Tõnu; Mägi, Reedik; Zimprich, Fritz; Zimprich, Alexander; Toncheva, Draga; Karachanak, Sena; Piskáčková, Tereza; Balaščák, Ivan; Peltonen, Leena; Jakkula, Eveliina; Rehnström, Karola; Lathrop, Mark; Heath, Simon; Galan, Pilar; Schreiber, Stefan; Meitinger, Thomas; Pfeufer, Arne; Wichmann, H-Erich; Melegh, Béla; Polgár, Noémi; Toniolo, Daniela; Gasparini, Paolo; D'Adamo, Pio; Klovins, Janis; Nikitina-Zake, Liene; Kučinskas, Vaidutis; Kasnauskienė, Jūratė; Lubinski, Jan; Debniak, Tadeusz; Limborska, Svetlana; Khrunin, Andrey; Estivill, Xavier; Rabionet, Raquel; Marsal, Sara; Julià, Antonio; Antonarakis, Stylianos E.; Deutsch, Samuel; Borel, Christelle; Attar, Homa; Gagnebin, Maryline; Macek, Milan; Krawczak, Michael; Remm, Maido; Metspalu, Andres; Fleischer, Robert C. (8 May 2009). "Genetic Structure of Europeans: A View from the North–East". PLOS ONE. 4 (5): e5472. Bibcode:2009PLoSO...4.5472N. doi:10.1371/journal.pone.0005472. PMC 2675054. PMID 19424496.
  4. ^Novembre, John; Johnson, Toby; Bryc, Katarzyna; Kutalik, Zoltán; Boyko, Adam R.; Auton, Adam; Indap, Amit; King, Karen S.; Bergmann, Sven; Nelson, Matthew R.; Stephens, Matthew; Bustamante, Carlos D. (31 August 2008). "Genes mirror geography within Europe". Nature. 456 (7218): 98–101. Bibcode:2008Natur.456...98N. doi:10.1038/nature07331. PMC 2735096. PMID 18758442.
  5. ^ abcBycroft, Clare; et al. (2019). "Patterns of genetic differentiation and the footprints of historical migrations in the Iberian Peninsula". Nature Communications. 10 (1): 551. Bibcode:2019NatCo..10..551B. doi:10.1038/s41467-018-08272-w. PMC 6358624. PMID 30710075.
  6. ^ abOlalde, Iñigo; et al. (2019). "The genomic history of the Iberian Peninsula over the past 8000 years". Science. 363 (6432): 1230–1234. Bibcode:2019Sci...363.1230O. doi:10.1126/science.aav4040. PMC 6436108. PMID 30872528.
  7. ^Cruciani, F.; La Fratta, R.; Trombetta, B.; Santolamazza, P.; Sellitto, D.; Colomb, E. B.; Dugoujon, J.-M.; Crivellaro, F.; Benincasa, T.; Pascone, R.; Moral, P.; Watson, E.; Melegh, B.; Barbujani, G.; Fuselli, S.; Vona, G.; Zagradisnik, B.; Assum, G.; Brdicka, R.; Kozlov, A. I.; Efremov, G. D.; Coppa, A.; Novelletto, A.; Scozzari, R. (10 March 2007). "Tracing Past Human Male Movements in Northern/Eastern Africa and Western Eurasia: New Clues from Y-Chromosomal Haplogroups E-M78 and J-M12". Molecular Biology and Evolution. 24 (6): 1300–1311. doi:10.1093/molbev/msm049. PMID 17351267.
  8. ^ abBotigué, L. R.; Henn, B. M.; Gravel, S; Maples, B. K.; Gignoux, C. R.; Corona, E; Atzmon, G; Burns, E; Ostrer, H; Flores, C; Bertranpetit, J; Comas, D; Bustamante, C. D. (2013). "Gene flow from North Africa contributes to differential human genetic diversity in southern Europe". Proceedings of the National Academy of Sciences. 110 (29): 11791–11796. Bibcode:2013PNAS..11011791B. doi:10.1073/pnas.1306223110. PMC 3718088. PMID 23733930.
  9. ^Pereira, Luisa; Cunha, Carla; Alves, Cintia; Amorim, Antonio (2005). "African Female Heritage in Iberia: A Reassessment of mtDNA Lineage Distribution in Present Times". Human Biology. 77 (2): 213–229. doi:10.1353/hub.2005.0041. hdl:10216/109268. PMID 16201138. S2CID 20901589.
  10. ^Moorjani, Priya; Patterson, Nick; Hirschhorn, Joel N.; Keinan, Alon; Hao, Li; Atzmon, Gil; Burns, Edward; Ostrer, Harry; Price, Alkes L.; Reich, David; McVean, Gil (21 April 2011). "The History of African Gene Flow into Southern Europeans, Levantines, and Jews". PLOS Genetics. 7 (4): e1001373. doi:10.1371/journal.pgen.1001373. PMC 3080861. PMID 21533020.
  11. ^ abcdefgGonzález, Ana M.; Brehm, Antonio; Pérez, José A.; Maca-Meyer, Nicole; Flores, Carlos; Cabrera, Vicente M. (April 2003). "Mitochondrial DNA affinities at the Atlantic fringe of Europe". American Journal of Physical Anthropology. 120 (4): 391–404. doi:10.1002/ajpa.10168. PMID 12627534. S2CID 6430969.
  12. ^Cavalli-Sforza (1993, p. 51) harvtxt error: no target: CITEREFCavalli-Sforza1993 (help)
  13. ^Milisauskas (2002, p. 58) harvtxt error: no target: CITEREFMilisauskas2002 (help)
  14. ^Nelis, Mari; Esko, Tõnu; Mägi, Reedik; Zimprich, Fritz; Zimprich, Alexander; Toncheva, Draga; Karachanak, Sena; Piskácková, Tereza; Balascák, Ivan; Peltonen, L; Jakkula, E; Rehnström, K; Lathrop, M; Heath, S; Galan, P; Schreiber, S; Meitinger, T; Pfeufer, A; Wichmann, HE; Melegh, B; Polgár, N; Toniolo, D; Gasparini, P; d'Adamo, P; Klovins, J; Nikitina-Zake, L; Kucinskas, V; Kasnauskiene, J; Lubinski, J; Debniak, T (2009). Fleischer, Robert C. (ed.). "Genetic Structure of Europeans: A View from the North–East". PLOS ONE. 4 (5): e5472. Bibcode:2009PLoSO...4.5472N. doi:10.1371/journal.pone.0005472. PMC 2675054. PMID 19424496.
  15. ^Wade, Nicholas (13 August 2008). "The Genetic Map of Europe". The New York Times. Retrieved 17 October 2009.
  16. ^Novembre, John; Johnson, Toby; Bryc, Katarzyna; Kutalik, Zoltán; Boyko, Adam R.; Auton, Adam; Indap, Amit; King, Karen S.; Bergmann, Sven; Nelson, Matthew R.; Stephens, Matthew; Bustamante, Carlos D. (2008). "Genes mirror geography within Europe". Nature. 456 (7218): 98–101. Bibcode:2008Natur.456...98N. doi:10.1038/nature07331. PMC 2735096. PMID 18758442. Lay summary – Gene Expression (31 August 2008).
  17. ^Bycroft, Clare; Fernandez-Rozadilla, Ceres; Ruiz-Ponte, Clara; Quintela, Inés; Carracedo, Ángel; Donnelly, Peter; Myers, Simon (1 February 2019). "Patterns of genetic differentiation and the footprints of historical migrations in the Iberian Peninsula". Nature Communications. 10 (1): 551. Bibcode:2019NatCo..10..551B. doi:10.1038/s41467-018-08272-w. PMC 6358624. PMID 30710075.
  18. ^Olalde, Iñigo; Mallick, Swapan; Patterson, Nick; Rohland, Nadin; Villalba-Mouco, Vanessa; Silva, Marina; Dulias, Katharina; Edwards, Ceiridwen J.; Gandini, Francesca; Pala, Maria; Soares, Pedro (2019-03-15). "The genomic history of the Iberian Peninsula over the past 8000 years". Science. 363 (6432): 1230–1234. Bibcode:2019Sci...363.1230O. doi:10.1126/science.aav4040. ISSN 0036-8075. PMC 6436108. PMID 30872528.
  19. ^Dupanloup, I.; Bertorelle, G; Chikhi, L; Barbujani, G (2004). "Estimating the Impact of Prehistoric Admixture on the Genome of Europeans". Molecular Biology and Evolution. 21 (7): 1361–72. doi:10.1093/molbev/msh135. PMID 15044595. S2CID 17665038.
  20. ^ abBosch, Elena; Calafell, Francesc; Comas, David; Oefner, Peter J.; Underhill, Peter A.; Bertranpetit, Jaume (2001). "High-Resolution Analysis of Human Y-Chromosome Variation Shows a Sharp Discontinuity and Limited Gene Flow between Northwestern Africa and the Iberian Peninsula". The American Journal of Human Genetics. 68 (4): 1019–29. doi:10.1086/319521. PMC 1275654. PMID 11254456.
  21. ^Comas, David; Calafell, Francesc; Benchemsi, kiNoufissa; Helal, Ahmed; Lefranc, Gerard; Stoneking, Mark; Batzer, Mark A.; Bertranpetit, Jaume; Sajantila, Antti (2000). "Alu insertion polymorphisms in NW Africa and the Iberian Peninsula: Evidence for a strong genetic boundary through the Gibraltar Straits". Human Genetics. 107 (4): 312–9. doi:10.1007/s004390000370. PMID 11129330. S2CID 9618737.
  22. ^ abcMoorjani P, Patterson N, Hirschhorn JN, Keinan A, Hao L, Atzmon G, et al. (2011). "The History of African Gene Flow into Southern Europeans, Levantines, and Jews". PLOS Genet. 7 (4): e1001373. doi:10.1371/journal.pgen.1001373. PMC 3080861. PMID 21533020.
  23. ^ abcCapelli, Cristian; Onofri, Valerio; Brisighelli, Francesca; Boschi, Ilaria; Scarnicci, Francesca; Masullo, Mara; Ferri, Gianmarco; Tofanelli, Sergio; Tagliabracci, Adriano; Gusmao, Leonor; Amorim, Antonio; Gatto, Francesco; Kirin, Mirna; Merlitti, Davide; Brion, Maria; Verea, Alejandro Blanco; Romano, Valentino; Cali, Francesco; Pascali, Vincenzo (2009). "Moors and Saracens in Europe: estimating the medieval North African male legacy in southern Europe". European Journal of Human Genetics. 17 (6): 848–52. doi:10.1038/ejhg.2008.258. PMC 2947089. PMID 19156170.
  24. ^ abSemino, Ornella; Magri, Chiara; Benuzzi, Giorgia; Lin, Alice A.; Al-Zahery, Nadia; Battaglia, Vincenza; MacCioni, Liliana; Triantaphyllidis, Costas; Shen, Peidong; Oefner, Peter J.; Zhivotovsky, Lev A.; King, Roy; Torroni, Antonio; Cavalli-Sforza, L. Luca; Underhill, Peter A.; Santachiara-Benerecetti, A. Silvana (2004). "Origin, Diffusion, and Differentiation of Y-Chromosome Haplogroups E and J: Inferences on the Neolithization of Europe and Later Migratory Events in the Mediterranean Area". The American Journal of Human Genetics. 74 (5): 1023–34. doi:10.1086/386295. PMC 1181965. PMID 15069642.
  25. ^ abGérard, Nathalie; Berriche, Sala; Aouizérate, Annie; Diéterlen, Florent; Lucotte, Gérard (2006). "North African Berber and Arab Influences in the Western Mediterranean Revealed by Y-Chromosome DNA Haplotypes". Human Biology. 78 (3): 307–16. doi:10.1353/hub.2006.0045. PMID 17216803. S2CID 13347549.
  26. ^ abcdefghAdams, Susan M.; Bosch, Elena; Balaresque, Patricia L.; Ballereau, Stéphane J.; Lee, Andrew C.; Arroyo, Eduardo; López-Parra, Ana M.; Aler, Mercedes; Grifo, Marina S. Gisbert; Brion, Maria; Carracedo, Angel; Lavinha, João; Martínez-Jarreta, Begoña; Quintana-Murci, Lluis; Picornell, Antònia; Ramon, Misericordia; Skorecki, Karl; Behar, Doron M.; Calafell, Francesc; Jobling, Mark A. (2008). "The Genetic Legacy of Religious Diversity and Intolerance: Paternal Lineages of Christians, Jews, and Muslims in the Iberian Peninsula". The American Journal of Human Genetics. 83 (6): 725–36. doi:10.1016/j.ajhg.2008.11.007. PMC 2668061. PMID 19061982. Lay summary – Science News (3 January 2009).
  27. ^ abcGiacomo, F.; Luca, F.; Popa, L. O.; Akar, N.; Anagnou, N.; Banyko, J.; Brdicka, R.; Barbujani, G.; et al. (2004). "Y chromosomal haplogroup J as a signature of the post-neolithic colonization of Europe". Human Genetics. 115 (5): 357–71. doi:10.1007/s00439-004-1168-9. PMID 15322918. S2CID 18482536.
  28. ^Estimating gene flow from North Africa to southern EuropeArchived 2015-04-30 at archive.today, David Comas, one of the authors of the study
  29. ^"La cifra del 20% sólo se da en Canarias, para el resto del país oscila entre el 10% y 12%", explica Comas.", David Comas, one of the authors of the study, Los españoles somos los europeos con más genes magrebíes, Huffington post, June 2013
  30. ^Flores, Carlos; Villar, Jesús; Guerra, Luisa; Hernández, Alexis; Basaldúa, Santiago; Corrales, Almudena; Pino-Yanes, María (2011-03-30). "North African Influences and Potential Bias in Case-Control Association Studies in the Spanish Population". PLOS ONE. 6 (3): e18389. Bibcode:2011PLoSO...618389P. doi:10.1371/journal.pone.0018389. ISSN 1932-6203. PMC 3068190. PMID 21479138.
  31. ^Lucotte, Gérard; Gérard, Nathalie; Mercier, Géraldine (2011-04-05). "North African Genes in Iberia Studied by Y-Chromosome DNA Haplotype 5". Human Biology. 73 (5).
  32. ^Cruciani, F.; La Fratta, R.; Trombetta, B.; Santolamazza, P.; Sellitto, D.; Colomb, E. B.; Dugoujon, J. -M.; Crivellaro, F.; Benincasa, T. (2007). "Tracing Past Human Male Movements in Northern/Eastern Africa and Western Eurasia: New Clues from Y-Chromosomal Haplogroups E-M78 and J-M12". Molecular Biology and Evolution. 24 (6): 1300–1311. doi:10.1093/molbev/msm049. PMID 17351267.
  33. ^Cruciani, F.; La Fratta, R.; Trombetta, B.; Santolamazza, P.; Sellitto, D.; Colomb, E. B.; Dugoujon, J.-M.; Crivellaro, F.; Benincasa, T.; Pascone, R.; Moral, P.; Watson, E.; Melegh, B.; Barbujani, G.; Fuselli, S.; Vona, G.; Zagradisnik, B.; Assum, G.; Brdicka, R.; Kozlov, A. I.; Efremov, G. D.; Coppa, A.; Novelletto, A.; Scozzari, R. (2007). "Tracing Past Human Male Movements in Northern/Eastern Africa and Western Eurasia: New Clues from Y-Chromosomal Haplogroups E-M78 and J-M12". Molecular Biology and Evolution. 24 (6): 1300–11. doi:10.1093/molbev/msm049. PMID 17351267.
  34. ^Bosch, E; Calafell, F; Comas, D; Oefner, PJ; Underhill, PA; Bertranpetit, J (April 2001). "High-resolution analysis of human Y-chromosome variation shows a sharp discontinuity and limited gene flow between northwestern Africa and the Iberian Peninsula". Am. J. Hum. Genet. 68 (4): 1019–29. doi:10.1086/319521. PMC 1275654. PMID 11254456.
  35. ^Plaza, S.; Calafell, F.; Helal, A.; Bouzerna, N.; Lefranc, G.; Bertranpetit, J.; Comas, D. (2003). "Joining the Pillars of Hercules: mtDNA Sequences Show Multidirectional Gene Flow in the Western Mediterranean". Annals of Human Genetics. 67 (Pt 4): 312–28. doi:10.1046/j.1469-1809.2003.00039.x. PMID 12914566. S2CID 11201992.
  36. ^ abcdPereira, Luisa; Cunha, Carla; Alves, Cintia; Amorim, Antonio (2005). "African Female Heritage in Iberia: A Reassessment of mtDNA Lineage Distribution in Present Times". Human Biology. 77 (2): 213–29. doi:10.1353/hub.2005.0041. hdl:10216/109268. PMID 16201138. S2CID 20901589.
  37. ^Cerezo, M.; Achilli, A.; Olivieri, A.; Perego, U. A.; Gomez-Carballa, A.; Brisighelli, F.; Lancioni, H.; Woodward, S. R.; Lopez-Soto, M.; Carracedo, A.; Capelli, C.; Torroni, A.; Salas, A. (27 March 2012). "Reconstructing ancient mitochondrial DNA links between Africa and Europe". Genome Research. 22 (5): 821–826. doi:10.1101/gr.134452.111. PMC 3337428. PMID 22454235.
  38. ^ abBrehm A, Pereira L, Kivisild T, Amorim A (December 2003). "Mitochondrial portraits of the Madeira and Açores archipelagos witness different genetic pools of its settlers". Human Genetics. 114 (1): 77–86. doi:10.1007/s00439-003-1024-3. hdl:10400.13/3046. PMID 14513360. S2CID 8870699.
  39. ^ abHernández, Candela L; Reales, Guillermo; Dugoujon, Jean-Michel; Novelletto, Andrea; Rodríguez, Juan; Cuesta, Pedro; Calderón, Rosario (2014). "Human maternal heritage in Andalusia (Spain): its composition reveals high internal complexity and distinctive influences of mtDNA haplogroups U6 and L in the western and eastern side of region". BMC Genetics. 15 (1): 11. doi:10.1186/1471-2156-15-11. PMC 3905667. PMID 24460736.
  40. ^Gordon, Matthew; Hain, Kathryn A. (2017). Concubines and Courtesans: Women and Slavery in Islamic History. ISBN .
  41. ^"Tracing Past Human Male Movements in Northern/Eastern Africa and Western Eurasia". Academic.oup.com. Retrieved 2020-01-21.
  42. ^https://reich.hms.harvard.edu/sites/reich.hms.harvard.edu/files/inline-files/2019_Olalde_Science_IberiaTransect_2.pdf
  43. ^Olalde, Iñigo; et al. (2019). "The genomic history of the Iberian Peninsula over the past 8000 years". Science. 363 (6432): 1230–1234. Bibcode:2019Sci...363.1230O. doi:10.1126/science.aav4040. PMC 6436108. PMID 30872528.
  44. ^Alvarez, Luis; Santos, Cristina; Ramos, Amanda; Pratdesaba, Roser; Francalacci, Paolo; Aluja, María Pilar (1 February 2010). "Mitochondrial DNA patterns in the Iberian Northern plateau: Population dynamics and substructure of the Zamora province". American Journal of Physical Anthropology. 142 (4): 531–539. doi:10.1002/ajpa.21252. PMID 20127843.
  45. ^Hernández, Candela L.; Soares, Pedro; Dugoujon, Jean M.; Novelletto, Andrea; Rodríguez, Juan N.; Rito, Teresa; Oliveira, Marisa; Melhaoui, Mohammed; Baali, Abdellatif; Pereira, Luisa; Calderón, Rosario; Achilli, Alessandro (28 October 2015). "Early Holocenic and Historic mtDNA African Signatures in the Iberian Peninsula: The Andalusian Region as a Paradigm". PLOS ONE. 10 (10): e0139784. Bibcode:2015PLoSO..1039784H. doi:10.1371/journal.pone.0139784. PMC 4624789. PMID 26509580.
  46. ^ abcMyres, Natalie M; Rootsi, Siiri; Lin, Alice A; Järve, Mari; King, Roy J; Kutuev, Ildus; Cabrera, Vicente M; Khusnutdinova, Elza K; Pshenichnov, Andrey; Yunusbayev, Bayazit; Balanovsky, Oleg; Balanovska, Elena; Rudan, Pavao; Baldovic, Marian; Herrera, Rene J; Chiaroni, Jacques; Di Cristofaro, Julie; Villems, Richard; Kivisild, Toomas; Underhill, Peter A (25 August 2010). "A major Y-chromosome haplogroup R1b Holocene era founder effect in Central and Western Europe". European Journal of Human Genetics. 19 (1): 95–101. doi:10.1038/ejhg.2010.146. PMC 3039512. PMID 20736979.
  47. ^Marques, Sofia L.; Goios, Ana; Rocha, Ana M.; Prata, Maria João; Amorim, António; Gusmão, Leonor; Alves, Cíntia; Alvarez, Luis (March 2015). "Portuguese mitochondrial DNA genetic diversity—An update and a phylogenetic revision". Forensic Science International: Genetics. 15: 27–32. doi:10.1016/j.fsigen.2014.10.004. PMID 25457629.
  48. ^Valverde, Laura; Illescas, Maria José; Villaescusa, Patricia; Gotor, Amparo M.; García, Ainara; Cardoso, Sergio; Algorta, Jaime; Catarino, Susana; Rouault, Karen; Férec, Claude; Hardiman, Orla; Zarrabeitia, Maite; Jiménez, Susana; Pinheiro, Maria Fátima; Jarreta, Begoña M.; Olofsson, Jill; Morling, Niels; de Pancorbo, Marian M. (March 2016). "New clues to the evolutionary history of the main European paternal lineage M269: dissection of the Y-SNP S116 in Atlantic Europe and Iberia". European Journal of Human Genetics. 24 (3): 437–441. doi:10.1038/ejhg.2015.114. PMC 4755366. PMID 26081640.
  49. ^Olalde, Iñigo; Brace, Selina; Allentoft, Morten E.; Armit, Ian; Kristiansen, Kristian; Booth, Thomas; Rohland, Nadin; Mallick, Swapan; Szécsényi-Nagy, Anna; Mittnik, Alissa; Altena, Eveline; Lipson, Mark; Lazaridis, Iosif; Harper, Thomas K.; Patterson, Nick; Broomandkhoshbacht, Nasreen; Diekmann, Yoan; Faltyskova, Zuzana; Fernandes, Daniel; Ferry, Matthew; Harney, Eadaoin; de Knijff, Peter; Michel, Megan; Oppenheimer, Jonas; Stewardson, Kristin; Barclay, Alistair; Alt, Kurt Werner; Liesau, Corina; Ríos, Patricia; et al. (March 2018). "The Beaker phenomenon and the genomic transformation of northwest Europe". Nature. 555 (7695): 190–196. Bibcode:2018Natur.555..190O. doi:10.1038/nature25738. PMC 5973796. PMID 29466337.
  50. ^Allentoft, Morten E.; Sikora, Martin; Sjögren, Karl-Göran; Rasmussen, Simon; Rasmussen, Morten; Stenderup, Jesper; Damgaard, Peter B.; Schroeder, Hannes; Ahlström, Torbjörn; Vinner, Lasse; Malaspinas, Anna-Sapfo; Margaryan, Ashot; Higham, Tom; Chivall, David; Lynnerup, Niels; Harvig, Lise; Baron, Justyna; Casa, Philippe Della; Dąbrowski, Paweł; Duffy, Paul R.; Ebel, Alexander V.; Epimakhov, Andrey; Frei, Karin; Furmanek, Mirosław; Gralak, Tomasz; Gromov, Andrey; Gronkiewicz, Stanisław; Grupe, Gisela; Hajdu, Tamás; Jarysz, Radosław; Khartanovich, Valeri; Khokhlov, Alexandr; Kiss, Viktória; Kolář, Jan; Kriiska, Aivar; Lasak, Irena; Longhi, Cristina; McGlynn, George; Merkevicius, Algimantas; Merkyte, Inga; Metspalu, Mait; Mkrtchyan, Ruzan; Moiseyev, Vyacheslav; Paja, László; Pálfi, György; Pokutta, Dalia; Pospieszny, Łukasz; Price, T. Douglas; Saag, Lehti; Sablin, Mikhail; Shishlina, Natalia; Smrčka, Václav; Soenov, Vasilii I.; Szeverényi, Vajk; Tóth, Gusztáv; Trifanova, Synaru V.; Varul, Liivi; Vicze, Magdolna; Yepiskoposyan, Levon; Zhitenev, Vladislav; Orlando, Ludovic; Sicheritz-Pontén, Thomas; Brunak, Søren; Nielsen, Rasmus; Kristiansen, Kristian; Willerslev, Eske (June 2015). "Population genomics of Bronze Age Eurasia". Nature. 522 (7555): 167–172. Bibcode:2015Natur.522..167A. doi:10.1038/nature14507. PMID 26062507. S2CID 4399103.
  51. ^Peter de Barros, Damgaard (9 May 2018). "137 ancient human genomes from across the Eurasian steppes". Nature. 557 (7705): 369–374. Bibcode:2018Natur.557..369D. doi:10.1038/s41586-018-0094-2. PMID 29743675. S2CID 13670282.
  52. ^"Eupedia".
  53. ^Barral-Arca R, Pischedda S, Gómez-Carballa A, Pastoriza A, Mosquera-Miguel A, López-Soto M; et al. (2016). "Meta-Analysis of Mitochondrial DNA Variation in the Iberian Peninsula". PLOS ONE. 11 (7): e0159735. Bibcode:2016PLoSO..1159735B. doi:10.1371/journal.pone.0159735. PMC 4956223. PMID 27441366.CS1 maint: multiple names: authors list (link)
  54. ^Rosser et al. (2000) harvcoltxt error: no target: CITEREFRosser_et_al.2000 (help)
  55. ^Loogväli EL, Roostalu U, Malyarchuk BA, et al. (November 2004). "Disuniting uniformity: a pied cladistic canvas of mtDNA haplogroup H in Eurasia". Molecular Biology and Evolution. 21 (11): 2012–21. doi:10.1093/molbev/msh209. PMID 15254257.
  56. ^Ottoni, Claudio; Primativo, Giuseppina; Hooshiar Kashani, Baharak; Achilli, Alessandro; Martínez-Labarga, Cristina; Biondi, Gianfranco; Torroni, Antonio; Rickards, Olga; Kayser, Manfred (21 October 2010). "Mitochondrial Haplogroup H1 in North Africa: An Early Holocene Arrival from Iberia". PLOS ONE. 5 (10): e13378. Bibcode:2010PLoSO...513378O. doi:10.1371/journal.pone.0013378. PMC 2958834. PMID 20975840.
  57. ^Hendrickson SL, Hutcheson HB, Ruiz-Pesini E, et al. (November 2008). "Mitochondrial DNA Haplogroups influence AIDS Progression". AIDS. 22 (18): 2429–39. doi:10.1097/QAD.0b013e32831940bb. PMC 2699618. PMID 19005266.
  58. ^Bauchet, M; McEvoy, B; Pearson, LN; Quillen, EE; Sarkisian, T; Hovhannesyan, K; Deka, R; Bradley, DG; Shriver, MD (2007). "Measuring European Population Stratification with Microarray Genotype Data". The American Journal of Human Genetics. 80 (5): 948–56. doi:10.1086/513477. PMC 1852743. PMID 17436249.
  59. ^Flores, Carlos; Maca-Meyer, Nicole; González, Ana M.; Oefner, Peter J.; Shen, Peidong; Pérez, Jose A.; Rojas, Antonio; Larruga, Jose M.; Underhill, Peter A. (October 2004). "Reduced genetic structure of the Iberian peninsula revealed by Y-chromosome analysis: implications for population demography". European Journal of Human Genetics. 12 (10): 855–863. doi:10.1038/sj.ejhg.5201225. PMID 15280900.
  60. ^Haplogroup C* (C-M130) has been found among males with the surname Llach and originating from Garrotxa, Catalonia, Spain. It was not found among males with the same surname from other areas, or males with other surnames of Catalan origin (Cognoms Catalans, n.d., Resultat; access 15 September 2015). The Cognoms Catalans project, which researches "genetic surnames" in Catalonia, Valencia and the Balearic Islands, is based at Universitat Pompeu Fabra, Barcelona.
  61. ^C Haplogroup – Y-DNA Classic Chart (21 January 2017).
  62. ^Marques, Sofia L; Goios, Ana; Rocha, Ana M; Prata, Maria J; Amorim, António; Gusmão, Leonor; Alves, Cíntia; Alvarez, Luis (March 2015). "Portuguese mitochondrial DNA genetic diversity- an update and a phylogenetic revision". FSI Genetics. 15: 27–32. doi:10.1016/j.fsigen.2014.10.004. PMID 25457629.
Sours: https://en.wikipedia.org/wiki/Genetic_history_of_the_Iberian_Peninsula


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