Refining Y-chromosome phylogeny with South African sequences

bioRxiv http://dx.doi.org/10.1101/034983

Refining the Y chromosome phylogeny with southern African sequences

Chiara Barbieri, Alexander Hübner, Enrico Macholdt, Shengyu Ni, Sebastian Lippold, Roland Schröder, Sununguko Wata Mpoloka, Josephine Purps, Lutz Roewer, Mark Stoneking, Brigitte Pakendorf

The recent availability of large-scale sequence data for the human Y chromosome has revolutionized analyses of and insights gained from this non-recombining, paternally inherited chromosome. However, the studies to date focus on Eurasian variation, and hence the diversity of early-diverging branches found in Africa has not been adequately documented. Here we analyze over 900 kb of Y chromosome sequence obtained from 547 individuals from southern African Khoisan and Bantu-speaking populations, identifying 232 new sequences from basal haplogroups A and B. We find new branches within haplogroups A2 and A3b1 and suggest that the prehistory of haplogroup B2a is more complex than previously suspected; this haplogroup is likely to have existed in Khoisan groups before the arrival of Bantu-speakers, who brought additional B2a lineages to southern Africa. Furthermore, we estimate older dates than obtained previously for both the A2-T node within the human Y chromosome phylogeny and for some individual haplogroups. Finally, there is pronounced variation in branch length between major haplogroups; haplogroups associated with Bantu-speakers have significantly longer branches. This likely reflects a combination of biases in the SNP calling process and demographic factors, such as an older average paternal age (hence a higher mutation rate), a higher effective population size, and/or a stronger effect of population expansion for Bantu-speakers than for Khoisan groups.

Link

African Genome Variation project paper

A choice quote:

To assess the effect of gene flow on population differentiation in SSA, we masked Eurasian ancestry across the genome (Supplementary Methods and Supplementary Note 6). This markedly reduced population differentiation, as measured by a decline in mean pairwise FST from 0.021 to 0.015 (Supplementary Note 6), suggests that Eurasian ancestry has a substantial impact on differentiation among SSA populations. We speculate that residual differentiation between Ethiopian and other SSA populations after masking Eurasian ancestry (pairwise FST = 0.027) may be a remnant of East African diversity pre-dating the Bantu expansion10.

I think this should be highlighted for a couple of reasons.

1. In too many papers to count, decreasing genetic diversity from East Africa was taken as evidence of an origin of H. sapiens in that locality and its expansion from there to Eurasia. This "East Africa=cradle of mankind" theory has, as far as I can tell, nothing really to stand on. Granted, the oldest anatomically modern human remains have been found in East Africa 200-150 thousand years ago. But, the fact that old sapiens have been found in East Africa and not elsewhere is easily explained by the excellent conditions for preservation (as opposed, e.g., deserts or rainforests of Africa or elsewhere), and by the extraordinary effort by palaeoanthropologists in that area. One also needs to overlook a century of physical anthropology that concluded that East Africa was a contact zone between Caucasoids and Sub-Saharan Africans. We now know that there is no deep lineage of humans in modern east Africans. Take out the Eurasian ancestry and only a paltry Fst=0.027 remains with other Sub-Saharan Africans, a fraction of the Fst between, say, Europeans and East Asians.

2. There has been enormous literature about phenotypic variation in Africans. The ultra-migrationism of old was replaced by ultra-selectionism that sought to explain every phenotypic marker of Eurasian admixture in Africa not as evidence of such admixture, but as a parallel process of evolution whereby some Africans tended to resemble some Eurasians not because of admixture but because of adaptation to similar environmental conditions.

But:

This suggests that a large proportion of differentiation observed among African populations could be due to Eurasian admixture, rather than adaptation to selective forces (Supplementary Note 6).

This study also confirms the presence of Eurasian admixture in the Yoruba

Our finding of ancient Eurasian admixture corroborates findings of non-zero Neanderthal ancestry in Yoruba, which is likely to have been introduced through Eurasian admixture and back migration, possibly facilitated by greening of the Sahara desert during this period13, 14.

Nature (2014) doi:10.1038/nature13997

The African Genome Variation Project shapes medical genetics in Africa

Deepti Gurdasani, Tommy Carstensen, Fasil Tekola-Ayele, Luca Pagani, Ioanna Tachmazidou, et al.

Given the importance of Africa to studies of human origins and disease susceptibility, detailed characterization of African genetic diversity is needed. The African Genome Variation Project provides a resource with which to design, implement and interpret genomic studies in sub-Saharan Africa and worldwide. The African Genome Variation Project represents dense genotypes from 1,481 individuals and whole-genome sequences from 320 individuals across sub-Saharan Africa. Using this resource, we find novel evidence of complex, regionally distinct hunter-gatherer and Eurasian admixture across sub-Saharan Africa. We identify new loci under selection, including loci related to malaria susceptibility and hypertension. We show that modern imputation panels (sets of reference genotypes from which unobserved or missing genotypes in study sets can be inferred) can identify association signals at highly differentiated loci across populations in sub-Saharan Africa. Using whole-genome sequencing, we demonstrate further improvements in imputation accuracy, strengthening the case for large-scale sequencing efforts of diverse African haplotypes. Finally, we present an efficient genotype array design capturing common genetic variation in Africa.

Link

Ancient mtDNA from southern Africa related to San

Genome Biol Evol (2014) doi: 10.1093/gbe/evu202

First Ancient Mitochondrial Human Genome from a Pre-Pastoralist Southern African

Alan G. Morris et al.

The oldest contemporary human mitochondrial lineages arose in Africa. The earliest divergent extant maternal offshoot, namely haplogroup L0d, is represented by click-speaking forager peoples of Southern Africa. Broadly defined as Khoesan, contemporary Khoesan are today largely restricted to the semi-desert regions of Namibia and Botswana, while archeological, historical and genetic evidence promotes a once broader southerly dispersal of click-speaking peoples including southward migrating pastoralists and indigenous marine-foragers. Today extinct, no genetic data has been recovered from the indigenous peoples that once sustained life along the southern coastal waters of Africa pre-pastoral arrival. In this study we generate a complete mitochondrial genome from a 2,330 year old male skeleton, confirmed via osteological and archeological analysis as practicing a marine-based forager existence. The ancient mtDNA represents a new L0d2c lineage (L0d2c1c) that is today, unlike its Khoe-language based sister-clades (L0d2c1a and L0d2c1b) most closely related to contemporary indigenous San-speakers (specifically Ju). Providing the first genomic evidence that pre-pastoral Southern African marine foragers carried the earliest diverged maternal modern human lineages, this study emphasizes the significance of Southern African archeological remains in defining early modern human origins.

Link

West Eurasian ancestry in eastern and southern Africa (Pickrell et al. 2014)

I had mentioned this when it was in preprint form and now it has appeared in PNAS. The great advantage of preprints (and why I'm all for them) is that they allow us to look at research much earlier (about half a year in this case) and thus help accelerate the pace of information dissemination. One disadvantage is that it is sometimes hard to keep track of how papers change between the preprint stage (and there may be multiple versions) and the final published stage; perhaps we need a diff for scientific papers.

PNAS doi: 10.1073/pnas.1313787111

Ancient west Eurasian ancestry in southern and eastern Africa

Joseph K. Pickrell et al.

The history of southern Africa involved interactions between indigenous hunter–gatherers and a range of populations that moved into the region. Here we use genome-wide genetic data to show that there are at least two admixture events in the history of Khoisan populations (southern African hunter–gatherers and pastoralists who speak non-Bantu languages with click consonants). One involved populations related to Niger–Congo-speaking African populations, and the other introduced ancestry most closely related to west Eurasian (European or Middle Eastern) populations. We date this latter admixture event to ∼900–1,800 y ago and show that it had the largest demographic impact in Khoisan populations that speak Khoe–Kwadi languages. A similar signal of west Eurasian ancestry is present throughout eastern Africa. In particular, we also find evidence for two admixture events in the history of Kenyan, Tanzanian, and Ethiopian populations, the earlier of which involved populations related to west Eurasians and which we date to ∼2,700–3,300 y ago. We reconstruct the allele frequencies of the putative west Eurasian population in eastern Africa and show that this population is a good proxy for the west Eurasian ancestry in southern Africa. The most parsimonious explanation for these findings is that west Eurasian ancestry entered southern Africa indirectly through eastern Africa.

Link

West Eurasian admixture in Khoe-San via East Africa

A new paper on the arXiv quantifies and dates the West Eurasian admixture in east Africa, and uncovers the presence of such admixture even in the Khoe-San of southern Africa. It appears that the admixture first occurred in East Africa about ~3ky ago, and reached southern Africa about ~1.5ky ago.

It is quite remarkable that different waves of migration converged into southern Africa from different directions: west African farmers and west Eurasian-admixed east African pastoralists. We should count ourselves lucky that the Khoe-San were discovered when they did: a few centuries more, and they too might have followed the fate of other populations finding themselves at the losing side of a technology differential, their culture lost, and their DNA preserved only as fragments in the gene pools of the more successful groups.



arXiv:1307.8014 [q-bio.PE]

Ancient west Eurasian ancestry in southern and eastern Africa

Joseph K. Pickrell et al.

The history of southern Africa involved interactions between indigenous hunter-gatherers and a range of populations that moved into the region. Here we use genome-wide genetic data to show that there are at least two admixture events in the history of Khoisan populations (southern African hunter-gatherers and pastoralists who speak non-Bantu languages with click consonants). One involved populations related to Niger-Congo-speaking African populations, and the other introduced ancestry most closely related to west Eurasian (European or Middle Eastern) populations. We date this latter admixture event to approximately 900-1,800 years ago, and show that it had the largest demographic impact in Khoisan populations that speak Khoe-Kwadi languages. A similar signal of west Eurasian ancestry is present throughout eastern Africa. In particular, we also find evidence for two admixture events in the history of Kenyan, Tanzanian, and Ethiopian populations, the earlier of which involved populations related to west Eurasians and which we date to approximately 2,700 - 3,300 years ago. We reconstruct the allele frequencies of the putative west Eurasian population in eastern Africa, and show that this population is a good proxy for the west Eurasian ancestry in southern Africa. The most parsimonious explanation for these findings is that west Eurasian ancestry entered southern Africa indirectly through eastern Africa.

Link

SMBE 2013 abstracts

Some abstracts from the SMBE 2013 conference that will take place next week. 

Legacy of Early Migrants in Neolithic East Asian Hunter-Gatherer from Fukushima, Japan

K.K. Hideaki et al.   

Clarifying the genetic relationship between Neolithic East Asian Hunter-Gatherer, Jomon people, and modern human populations is one of the Keystones to understand the controversial history of modern East Asian populations. Jomon people inhabited in the Japanese archipelago from 16,000 years ago, and their origin and the relationship with modern humans have been debated for a long time. To solve these questions, we obtained 20 million base pairs of genomic DNA from a ~4,000-year-old Jomon male tooth, excavated in Sanganji shell mound, Fukushima, Japan. We compared his genetic components with the data of modern worldwide populations. Our major findings are: (1) Sanganji Jomon was very similar with modern East Asians when we compared the worldwide populations in the PCA plot; (2) when only East Asians were compared, Sanganji Jomon was distant from both modern Northeast and Southeast Asians, indicating that Sanganji Jomon people were already isolated from other continental populations for a long time; (3) the Sanganji Jomon male shared more SNP alleles with southern and northern minorities in China than geographically close Han Chinese, implying a complex history of people in China after the divergence between Jomon ancestors and Eurasian continent people; (4) Sanganji Jomon is genetically closer to modern mainland Japanese than continental populations, indicating that some of their components were transmitted to modern Japanese; (5) within Japanese archipelago, Ainu and Ryukyuan (the populations of northern and southern edges of the Japanese archipelago) have more Jomon components than mainland Japanese, indicating that the genetic effect of agricultural people who migrated from the Eurasian continent in and after the Yayoi period is stronger in Mainland Japanese than Ainu and Ryukyuan.

Extensive Gene Gain in Human Brain Evolution

Yong E. Zhang et al.
The genetic changes contributing to the evolution of the human brain have always attracted wide interest. A emerging consensus view is that while there have been no major patterns of genome-wide changes to the coding regions of brain-related genes, cis-regulatory changes of these genes have played a key role. Here, motivated by anecdotal studies of primate-specific genes implicated in brain function, we identified thousands of lineage-specific (primate-specific or rodent-specific) genes by mining syntenic vertebrate genomic alignments and examined the expression profile of these genes in both fetal and adult brains of human and mouse across different transcriptome profiling platforms. We found that an excess of lineage-specific genes are expressed in the early (fetal or infant) developing human brain compared with those in mouse brain. Expression data covering numerous subregions of the developing brain further demonstrate that these young genes are mainly transcribed in the neocortex. They originated in the evolutionary period during which the neocortex was expanding, suggesting the functional association of new genes with this newly evolving brain structure. Our data reveal that evolutionary change in the development of the human brain happened at the protein level by gene origination and also via evolution of regulatory networks, as hinted by the enrichment of primate-specific transcriptional regulators in our dataset. More than that, these ?ndings suggest that genomes are continually evolving in both sequence and content, eroding the conservation endowed by common ancestry. Despite increasing recognition of the importance of new genes, these genes are still seriously under-characterized in functional studies and that new gene annotation is inconsistent in current practice. We propose an integrative approach based on functional and evolutionary genomic methods to better annotate these non-conserved genes.

Recent Human Demography Impacts the Architecture of Genetic Disease in Populations but Not Individual Genetic Load

Yuval Simons et al.
Human populations have undergone dramatic changes in population sizes in the past 100,000 years, including a severe bottleneck of non-African populations and recent explosive population growth. There is currently great interest in how these demographic events may have affected the burden of deleterious mutations in individuals and the allele frequency spectrum of disease mutations in populations. Here we use population genetic models to show that--contrary to previous conjectures--recent human demography likely had very little impact on the average burden of deleterious mutations carried by individuals. This prediction is supported by exome sequence data showing that African American and European American individuals carry very similar burdens of damaging mutations. We next considered whether recent population growth has increased the importance of very rare mutations in disease. Our analysis predicts that, even given recent growth, it is unlikely that very rare mutations contribute a large fraction of disease heritability except for diseases that are largely due to strongly deleterious mutations. In summary, demographic history has dramatically impacted patterns of variation in different human populations, but these changes likely had little impact on either genetic load or on the importance of rare variants in most complex traits.

Functional and Population Genetic Analyses of a High-Coverage Neandertal Genome

Fernando Racimo et al.
We have sequenced the genome of a Neandertal from the Altai mountains in Siberia at 50-fold coverage. This Neandertal was located in the same cave as the Denisovan individual, but is phylogenetically closer to Neandertals from Western Eurasia. To avoid confusion, we call this individual the Altai Neandertal. Here we show an assessment of genome data quality and functional and population genetic comparisons with the Denisovan genome and a set of 25 high-coverage modern human genomes. We present an analysis of genes with recent changes in either the modern human lineage or the archaic human lineage (Neandertal+Denisova). We find enrichment for nonsynonymous changes in genes associated with melanosomes in the modern human lineage, and genes associated with particular muscoskeletal morphologies in the archaic human lineage. We utilize a compound deleteriousness scoring that allows us to combine a variety of conservation, regulatory and expression data to rank all modern and archaic-specific single-nucleotide changes and InDels across the genome, and predict which are those that could have been most disruptive in our evolutionary history. Furthermore, we overlap the modern-specific catalog with the top regions of a screen for selective sweeps exclusive to the modern human lineage, and observe enrichments for changes in genes related to ion channel activity, muscle contraction and membrane transport. Finally, we note an excess of ancestral alleles in the Denisovan individual relative to the Altai Neandertal individual, which is strongest at sites where modern humans are fixed derived. We develop an approximate Bayesian computation approach that allows us to test different models, and conclude that gene flow between the Denisovan individual and a more anciently diverged human lineage is most consistent with the patterns observed.

Multiple Episodes of Population Mixture in Southern African History

Joseph K. Pickrell et al.
The history of southern Africa involved interactions between indigenous hunter-gatherers and a range of populations that moved temporarily or permanently into the region. The influence of these interactions on the genetic structure of current populations remains unclear. Here, using patterns of linkage disequilibrium, we show that there are at least two admixture events in the genetic history of southern African hunter-gatherers and pastoralists: one involving populations related to Niger-Congo-speaking African populations, and one which introduced ancestry most closely related to west Eurasian (European or Middle Eastern) populations. We estimate that at least a few percent of ancestry in the Khoisan is derived from this latter admixture event, which occurred on average 1,200-1,800 years ago. We show that a similar signal of west Eurasian ancestry is present throughout eastern Africa; in particular, we also find evidence for two admixture events in the genetic history of several Kenyan, Tanzanian, and Somali populations, the earliest of which involved populations related to southern Europeans and which we date to approximately 2700 - 3300 years ago. We thus suggest that west Eurasian ancestry entered southern Africa indirectly through eastern Africa. These results demonstrate how large-scale genomic datasets can inform complex models of population movements, and highlight the genomic impact of largely uncharacterized back-to-Africa migrations in human history.

Mechanistic Models of Admixture and Approximate-Approximate-Bayesian Computation 

Noah Rosenberg et al.   

Investigations of the history of migrations that underlie admixed populations often use nonmechanistic admixture models rather than a modeling perspective that incorporates a population-genetic history of admixture built from first principles. We build a general model of admixture that mechanistically accounts for complex admixture processes, considering two source populations that contribute to the ancestry of a hybrid population, potentially with variable contributions across generations. For a random individual in the hybrid population at a given point in time, we study the fraction of admixture originating from a specific one of the source populations. Quite different admixture processes can produce identical mean admixture across individuals, but such processes typically produce different values for the variance of admixture. Interestingly, even without considering sex chromosomes, the variance of admixture for autosomes captures information about sex-specific migration in the contributions of the source populations to the admixed group. To perform inference under the model, we use approximate-approximate-Bayesian computation (AABC), a modification of approximateBayesian computation well-suited to estimation under complex mechanistic models that are computationally intensive to simulate. The model and inference method can contribute to an understanding of the theory and analysis of the history of admixed populations.

Inferring Human Population History and Migration Patterns from Multiple Genome Sequences

Stephan Schiffels, Richard Durbin
The availability of human genomes from populations across the world has given rise to new inference methods that exploit high-coverage sequence data. Among the most influential recent developments is the Pairwise Sequentially Markovian Coalescenct (PSMC) by Li and Durbin, 2011. While PSMC infers the demographic history for times between 20kya and 2mya with high resolution, neither the more recent evolutionary history nor migration patterns across populations can be adressed. Here we present a new method that overcomes both of these shortcomings. The Multiple Sequentially Markovian Coalescent (MSMC) infers the recent evolutionary history within and across populations only a few thousand years ago and younger. MSMC models the pattern of mutations in multiple genome sequences under the coalescent with recombination. It fits local genealogical trees to the observed pattern, focussing on the first coalescence among any two individuals. We apply our method to the genome sequences from several family trios from the 1000 Genomes project with African, European, Asian and SouthAmerican ancestry. We infer population sizes and migration rates as a function of time with high resolution. In particular, our method resolves the more recent evolutionary history of non-African populations after the out-of-Africa event, such as the peopling of the Americas.

Small-bodied humans from the Terminal Pleistocene in Tanzania

East Africa is known for the tall and lean physiques of many of its current inhabitants, but there has been speculation -on linguistic or other grounds- that it was once home to people similar to the present-day Bushmen of southern Africa. A new publication on small-bodied humans from Tanzania may be related to this hypothesis.

From the paper:

New discoveries, such as B-1 from Mlambalasi, may renew discussion on the presence of small-bodied people in East Africa. Based on the few comparable skeletal samples, this individual does not conform to the typical tall, robust, and linear body proportions of previously reported East African LSA populations. Instead, itssmall body size has more in common with southern African peoples. This does not necessarily imply a biological link between these LSA populations. Hypotheses for why small size develops include the need for thermoregulation, limited food supply, enhanced mobility, and high mortality influencing early reproduction (Perry and Dominy, 2009; Pfeiffer and Harrington, 2011). In southern Africa, small body size may be linked to energetics and accident avoidance. The rate of injury among the South African LSA populations is lower than other mobile hunter-gatherer groups, which Pfeiffer (2007) interprets as possibly related to reduced body mass. Ethnographic studies of modern Khoesan emphasize the centrality of the bow and arrow and persistence hunting, in which small, energetically efficient bodies prove advantageous (Tobias, 1978). Small body size may have emerged multiple times, perhaps amidst the low population densities and climatic instability of the LSA. Given that early modern humans may have endured a population crisis (Harpending et al., 1993; Ambrose, 1998a; Lahr and Foley, 1998; Reich and Goldstein, 1998), and that there is some evidence for increased diversity among earlier populations (Crevecoeur et al., 2009), one characteristic of some terminal Pleistocene and early Holocene groups may have been a small body size. Exploring the incidence of scope of this pattern in East African and other early modern humans may shed light on the importance of body size in human evolution.

International Journal of Osteoarchaeology DOI: 10.1002/oa.2323

Terminal Pleistocene Later Stone Age Human Remains from the Mlambalasi Rock Shelter, Iringa Region, Southern Tanzania†

E. A. Sawchuk1, P. R. Willoughby

This paper introduces research at the Mlambalasi rock shelter in the Iringa Region of southern Tanzania. The deposits are composed of a historic and Iron Age occupation, a microlithic Holocene Later Stone Age (LSA), and then a macrolithic Late Pleistocene LSA. Middle Stone Age deposits are also present on the slope in front of the rock shelter. Excavations in A.D. 2002, 2006, and 2010 yielded fragmentary human remains as well as pottery, iron, stone tools, faunal bone, and glass and ostrich eggshell beads. Among the human remains, four individuals are present: two adults and a juvenile were found in the same LSA context, and another adult associated with the Iron Age/historic period. The most complete skeleton is an adult of indeterminate sex that was found in situ in an LSA deposit. Charcoal in proximity to the bone was AMS radiocarbon dated to 12,925 cal BC (OxA-24620), which is consistent with radiocarbon dates on giant land snail shells from above and below the remains. The skeleton exhibits a series of pathological changes such as extensive dental wear and carious lesions, as well as damage most likely caused by termites, post-mortem. The most striking aspect of this individual is its small size; stature and body mass estimations place it in the range of historic Khoesan from southern Africa. Consequently, this research adds to the discourse regarding the existence of small-bodied people in the East African LSA. Findings from this new skeletal sample will contribute to studies of human biology and variation in Africa during the terminal Pleistocene and Holocene. This article is protected by copyright. All rights reserved.

Link

Directionality index for detecting origin of range expansions

This appears to be an interesting methodology for detecting directionality in genetic datasets. I am not sure how it might perform in the presence of admixture, a topic that was not discussed. Interestingly, the San appear as the only human population that had positive directionality values with all others, suggesting -to the authors- that they are closest to the origin of humans. On the other hand, in Pakistan, they found the Makrani to be the most ancestral population, and I strongly suspect that this may be related to the African admixture found in that population and not in others from that country.

arXiv:1303.7475v1 [q-bio.PE]

Detecting range expansions from genetic data

Benjamin M Peter, Montgomery Slatkin

We propose a method that uses genetic data to test for the occurrence of a recent range expansion and to infer the location of the origin of the expansion. We introduce a statistic for pairs of populations $\psi$ (the directionality index) that detects asymmetries in the two-dimensional allele frequency spectrum caused by the series of founder events that happen during an expansion. Such asymmetry arises because low frequency alleles tend to be lost during founder events, thus creating clines in the frequencies of surviving low-frequency alleles. Using simulations, we further show that $\psi$ is more powerful for detecting range expansions than both $F_{ST}$ and clines in heterozygosity. We illustrate the utility of $\psi$ by applying it to a data set from modern humans and show how we can include more complicated scenarios such as multiple expansion origins or barriers to migration in the model.

Link

Admixture in Southern Africa (Petersen et al. 2013)

Related:

• The genetic prehistory of southern Africa 
• Genomic Variation in Seven Khoe-San Groups Reveals Adaptation and Complex African History

PLoS Genet 9(3): e1003309. doi:10.1371/journal.pgen.1003309

Complex Patterns of Genomic Admixture within Southern Africa

Desiree C. Petersen et al.

Within-population genetic diversity is greatest within Africa, while between-population genetic diversity is directly proportional to geographic distance. The most divergent contemporary human populations include the click-speaking forager peoples of southern Africa, broadly defined as Khoesan. Both intra- (Bantu expansion) and inter-continental migration (European-driven colonization) have resulted in complex patterns of admixture between ancient geographically isolated Khoesan and more recently diverged populations. Using gender-specific analysis and almost 1 million autosomal markers, we determine the significance of estimated ancestral contributions that have shaped five contemporary southern African populations in a cohort of 103 individuals. Limited by lack of available data for homogenous Khoesan representation, we identify the Ju/'hoan (n = 19) as a distinct early diverging human lineage with little to no significant non-Khoesan contribution. In contrast to the Ju/'hoan, we identify ancient signatures of Khoesan and Bantu unions resulting in significant Khoesan- and Bantu-derived contributions to the Southern Bantu amaXhosa (n = 15) and Khoesan !Xun (n = 14), respectively. Our data further suggests that contemporary !Xun represent distinct Khoesan prehistories. Khoesan assimilation with European settlement at the most southern tip of Africa resulted in significant ancestral Khoesan contributions to the Coloured (n = 25) and Baster (n = 30) populations. The latter populations were further impacted by 170 years of East Indian slave trade and intra-continental migrations resulting in a complex pattern of genetic variation (admixture). The populations of southern Africa provide a unique opportunity to investigate the genomic variability from some of the oldest human lineages to the implications of complex admixture patterns including ancient and recently diverged human lineages.

Link

Deep mtDNA substructure in southern Africa (Barbieri et al. 2013)

The Khoisan have been used in many different ways in reconstructions of human history.

Being probably the most genetically diverse modern human population, they are occasionally viewed as akin to the ur-humans, with everyone else shedding diversity via founder effects as they moved away from a south African modern human urheimat.

They are also sometimes viewed as a basal branch of the human family tree, and they probably are -if modern humans are made to fit a tree model. But, modern humans didn't really evolve tree-like (some African farmers have Khoisan-like admixture, and the Khoisan themselves have relatively "shallow" common ancestry with other Africans and many Eurasians on account of their possession of a respectable frequency of Y-haplogroup E).

I have sometimes noted that in the case of South African groups were are lucky that the Khoisan exist as a discrete set of populations, making it easier to discern the legacy of South African hunter-gatherers in the genomes of immigrant farmers and pastoralists who converged southwards over the last few thousand years. This can be contrasted with the presumable situation in places like West Africa (the cradle of Sub-Saharan African farming), in which any indigenous hunter-gatherer groups have ceased to exist as distinct entities a long time ago.

A new AJHG paper sample south African genomes extensively and arrives at a startling conclusion. In the words of the authors:

Overall, the results of this analysis indicate that it is very unlikely that the highly divergent L0k1b/L0k2 lineages were incorporated into the Bantu-speaking populations via gene flow from a population that was ancestral to a Khoisan population in our sample but subsequently lost from the Khoisan population via drift. Instead, these results support the hypothesis that the ancestors of the Bantu-speaking populations carrying the divergent L0k lineages (who now live mainly in Zambia) experienced gene flow from a pre-Bantu population that is nowadays extinct. Alternatively, it is possible that descendants from this pre-Bantu population do exist but have not yet been included in population genetic studies; however, our extensive sampling of populations from Botswana, Namibia, andWest Zambia (which includes representatives of nearly all known Khoisan groups) makes it highly unlikely that this pre-Bantu Khoisan population has not yet been sampled.

In other words, we must resist the tendency to think of the Khoisan as representatives of all pre-Bantu south Africans. The Khoisan are certainly descendants of old south Africans, and represent a part of the pre-Bantu genetic landscape that retained its cultural distinctiveness (and hence can be nowadays sampled as a distinct population). But, there were other, now submerged, peaks in that landscape that are no longer extant in distinct form, but only in absorbed form in the gene pool of south African farmers.

This is fairly interesting in itself, and certainly ought to change our belief about what Africa looked like pre-Bantu expansion. We ought to think of, perhaps, a cornucopia of groups: many of them may have gone extinct; some may have been completely absorbed into more successful ones, and perhaps only a handful survive as distinct entities. Such a view would agree with the conclusions of physical anthropology about the persistence of archaic-leaning groups in parts of Africa down to the Holocene boundary.

The American Journal of Human Genetics, 17 January 2013 doi:10.1016/j.ajhg.2012.12.010

Ancient Substructure in Early mtDNA Lineages of Southern Africa

Chiara Barbieri et al.


Among the deepest-rooting clades in the human mitochondrial DNA (mtDNA) phylogeny are the haplogroups defined as L0d and L0k, which are found primarily in southern Africa. These lineages are typically present at high frequency in the so-called Khoisan populations of hunter-gatherers and herders who speak non-Bantu languages, and the early divergence of these lineages led to the hypothesis of ancient genetic substructure in Africa. Here we update the phylogeny of the basal haplogroups L0d and L0k with 500 full mtDNA genome sequences from 45 southern African Khoisan and Bantu-speaking populations. We find previously unreported subhaplogroups and greatly extend the amount of variation and time-depth of most of the known subhaplogroups. Our major finding is the definition of two ancient sublineages of L0k (L0k1b and L0k2) that are present almost exclusively in Bantu-speaking populations from Zambia; the presence of such relic haplogroups in Bantu speakers is most probably due to contact with ancestral pre-Bantu populations that harbored different lineages than those found in extant Khoisan. We suggest that although these populations went extinct after the immigration of the Bantu-speaking populations, some traces of their haplogroup composition survived through incorporation into the gene pool of the immigrants. Our findings thus provide evidence for deep genetic substructure in southern Africa prior to the Bantu expansion that is not represented in extant Khoisan populations.


Link

The great human expansion (Henn et al. 2012)

I have been a rather outspoken critic of the "standard recent Out-of-Africa model" of human origins. A new paper by Henn, Cavalli-Sforza, and Feldman presents an up-to-date version of that model, and is quite useful as an overview of what I believe to be (and I'm sure the authors do not!) the passing paradigm.

From the paper:

Genetic data indicate that, approximately 45 to 60 kya, a very rapid population expansion occurred outside of Africa, and spread in all directions across the Eurasian continents, eventually populating the entire world.

This is true. The question is whether this expansion originated in Africa itself, or in Eurasia, from people who had left Africa at a much earlier time. One aspect of this expansion that is often brought in defense of this hypothesis is the orderly diminution of genetic diversity outside Africa from the Near East. But, we ought to remember that "clines don't carry dates", and that particular one is consistent with an Out-of-Arabia dispersal of modern humans during the time in question.

From the paper:

However, current evidence indicates that this near-modern population did not persist in the Near East and was subsequently replaced by Neanderthals during the following glacial period, with little evidence of temporal overlap (5, 6). It is not until at least 50,000 y ago that evidence of behaviorally modern humans occurs in the archaeological record in the Near East.

The evidence for behavioral modernity (the transition to the Upper Paleolithic and/or Lower Stone Age) appears near simultaneously around the planet and is thus no evidence for an Out-of-Africa event accompanying it.

If out species became behaviorally modern due to a population expansion circa 50ka, then we would expect different human populations to have split times of ~50ka. This is not, however, what we observe, but, rather, in all genetic systems (mtDNA, Y-chromosomes, and autosomal DNA), there is evidence for population splits within Homo sapiens of order 200ka, which were not, however, complete, but were followed by later episodes of admixture.

A recent paper estimated that the Khoe-San split from the rest of us ~100ka. Even if we disregard the use of a now-outdated mutation rate, this is still twice as old as the UP/LSA transition. The implication is clear, that at least in some part of our species, behavioral modernity c. 50ka did not spread through the spread of a new population, but through the spread of an idea. Now, let's flip this around, and go from South Africa to the Levant, where we do have evidence for a ~100ka split between a group of modern humans (the Mt. Carmel ones) and African humankind. If a population that split off ~100ka (and indeed, more likely 200 ka) within Africa is, nonetheless fully behaviorally modern by "cultural osmosis", so could the population of modern humans who lived in Asia pre-100ka: no need to invoke population replacement to explain the appearance of behavioral modernity.

The argument is simple: deep genetic population splits are no obstactle to the flow of culture in the case of Africa, so why postulate an obstacle to cultural flow (in whatever direction) between human groups with equal, or indeed much shallower split times?

I have written before about my distaste for Biblical-level bottlenecks, and here they are presented explicitly:

Resequencing studies have estimated the ancestral effective population size at 12,800 to 14,400, with a 5- to 10-fold bottleneck beginning approximately 65,000 to 50,000 y ago (although see ref. 15 for a bottleneck to only 450 individuals). It is generally assumed that the bottleneck occurred as a small group(s) with an effective population size of only approximately 1,000 to 2,500 individuals moved from the African continent into the Near East.

This is of course, possible. But, the model writes the story, and if one assumes tree-like divergence of human populations sans admixture, then one will doubtlessly infer a story of migration going from the most diverse human populations, to the least diverse ones.

But, admixture matters. In the proximate sense, the diminution of genetic diversity from East Africa has never been established securely: to do so, one would need to isolate what is "diverse by admixture" and "diverse by antiquity". These proximate causes of increased diversity can be addressed because there are relatively unadmixed groups of people still in existence, and admixture LD has not had sufficient time to decay. This is particularly the case for many intermediate populations in the road Out-of-Africa, including East Africans, Near Eastern populations, South Asians, etc., all of which have evidence for recent admixture. Indeed, recent work has also established admixture within Africa itself, of both the recent and the archaic kind.

But, if the principle of admixture is accepted, then the possibility that it may have occurred in the distant past must also be entertained. In the absence of both LD-based evidence (which decays exponentially), and extant unadmixed populations (which tend to be absorbed or die out), older episodes of admixture will manifest themselves as little more than an excess of polymorphism, all the greater depending on the size of the introgressing element and its genetic divergence: a little admixture from a much diverged element will contribute a similar number of new alleles as a lot of admixture from a less diverged one.

In fact, we do see such an excess of polymorphism in Africans, and it will serve us well to remember that the Out-of-Africa bottleneck may have joined forces with an In-Africa-Admixture to create the contrast between African and Eurasian effective population sizes.

The story told in The great human expansion is, in my opinion, no longer believable. Three reasons have contributed to make it so:

1. The publication of the Neandertal and Denisovan genomes have killed off any notion that the human tree blossomed in a vacuum, unperturbed by the other denizens of the Homo forest. 
2. Recalibration of the human autosomal mutation rate have revealed deep autosomal divergences within our species. These can be consistent with either (i) a recent expansion followed by admixture with divergent lineages, or (ii) old population structure within the species accompanied by cultural flow of behavioral modernity. I tend to support a mix of these ideas. What cannot have happened, however, is the model of a recent, simultaneous expansion responsible for both the spread of modern humans and behavioral modernity. 
3. While the ~60ka Out-of-Africans remain elusive, archaeologists have made steady progress in uncovering real links between Africa and Eurasia prior to 100ka. The Mousterian-using Mt. Carmel members of our species can no longer be discounted as the Out-of-Africa that failed, because they are now accompanied by Nubian Complex and Jebel Faya Arabians at around the same time.

Point #3 is particularly important: these are real archaeologically demonstrated links between Africa and Asia. It is no longer possible to discount Skhul/Qafzeh as the little Levantine colony of modern humans that failed, because they're no longer the only evidence for pre-100ka Out-of-Africa: a model must now demonstrate either why (i) all pre-100ka modern humans failed, or (ii) the Arabians-with-African-technologies in places like Dhofar would not have been modern humans.

PNAS doi: 10.1073/pnas.1212380109

The great human expansion

Brenna M. Henn et al.

Genetic and paleoanthropological evidence is in accord that today’s human population is the result of a great demic (demographic and geographic) expansion that began approximately 45,000 to 60,000 y ago in Africa and rapidly resulted in human occupation of almost all of the Earth’s habitable regions. Genomic data from contemporary humans suggest that this expansion was accompanied by a continuous loss of genetic diversity, a result of what is called the “serial founder effect.” In addition to genomic data, the serial founder effect model is now supported by the genetics of human parasites, morphology, and linguistics. This particular population history gave rise to the two defining features of genetic variation in humans: genomes from the substructured populations of Africa retain an exceptional number of unique variants, and there is a dramatic reduction in genetic diversity within populations living outside of Africa. These two patterns are relevant for medical genetic studies mapping genotypes to phenotypes and for inferring the power of natural selection in human history. It should be appreciated that the initial expansion and subsequent serial founder effect were determined by demographic and sociocultural factors associated with hunter-gatherer populations. How do we reconcile this major demic expansion with the population stability that followed for thousands years until the inventions of agriculture? We review advances in understanding the genetic diversity within Africa and the great human expansion out of Africa and offer hypotheses that can help to establish a more synthetic view of modern human evolution.

Link

ADMIXTURE analysis of Schlebusch et al. (2012) data

The ADMIXTURE analysis of Schlebusch et al. (2012) did not include Eurasian references, but thanks to the fact that the authors have made their data publicly available, anyone can carry out additional analyses on it. I am sure that this data will be very useful in the future. The list of included populations, with sample sizes are:

• ColouredColesberg_Sch 20
• ColouredWellington_Sch 20
• Khomani_Sch 39
• Karretjie_Sch 20
• Khwe_Sch 17
• GuiGhanaKgal_Sch 15
• Juhoansi_Sch 18
• Nama_Sch 20
• Xun_Sch 19
• SEBantu_Sch 20
• SWBantu_Sch 12

As is my convention, the _Sch ending denotes that these populations are from the Schlebusch et al. paper

As always with a new dataset, after processing it, I ran a quick test to make sure everything seemed to be alright. This time, I included the 220 individuals in the released datasets together with 28 HGDP Sardinians and 10 HGDP Dai, and ran a quick K=4 ADMIXTURE analysis:

These appear to make sense. The "green" Dai-like element in the Coloured samples is probably a stand-in for Indian ancestry in that population. The plot of individuals shows considerable variation within several populations:

Complex origins and natural selection of the Khoe-San

The Khoe-San were recently made the object of a study by Pickrell et al. in a paper that was posted on arXiv and ought to appear in journal form in the near future. Good things come in pairs, so on the heels of that study, a new paper in Science by Schlebusch et al. deals with a similar set of populations. The former paper used the Affymetrix Human Origins Array which contains sets of SNPs ascertained in different individuals from around the world, and the dataset will be comparable to the HGDP set genotyped on the same chip. The current study uses the Illumina Omni 2.5, which would make its data to comparable to the 1000 Genomes data, as well as to a variety of other data genotyped on Illumina platforms. So, from the data perspective, I would say that the two nicely complement each other.

There is an abundance of good stuff in the 176 pages of supplementary material which are freely available in the Science website.

One important technical proposition in the paper is the use of a concordance ratio. As I understand it, this is based on the idea that when populations split, initially the signal that they did so is very weak, and becomes stronger with more time (and drift). So, by taking the ratio of concordant minus discordant alleles over concordant plus discordant ones, they can show support for a topology and estimate population split times.

Of course, Khoe-San populations cannot really be seen as having split from the rest of mankind at some particular time. Pickrell et al. argue for this on the basis of admixture LD in even the most "unadmixed" populations (such as HGDP San), but the most obvious reason why the simple split scenario cannot be true comes from the fact that the Khoe-San possess a substantial percentage of Y-haplogroup E, which links them to other Sub-Saharan Africans, and even Eurasians within a ~50ka framework at most, and probably much lower, since they carry derived sublineages within E that were founded much more recently.

Nonetheless, this admixture was probably not so great to destroy the evidence of isolation, and the authors give an estimate of ~100ka for the split:

This division forms the deepest divergence among extant humans (Fig. 2A, S32) and, assuming an effective population size (Ne) of 21,000 individuals (11, 12), the maximum likelihood divergence time is Ts = 0:083 × 2Ne generations (95% ML CI: 0.075-0.091) corresponding to ∼100,000 years ago (14), in agreement with previous estimates of 110,000-160,000 years ago (11, 12).

But, this estimate disagrees with the idea that Khoe-San split off 250-300 thousand years ago, which has been advanced on the basis of the slower autosomal mutation rate. Many of the news headlines on the paper talk about the paper showing that Khoe-San diverged before Out-of-Africa, but, actually, using the new slow mutation rate, a date of 100ka is actually around the time, or even after Out-of-Africa, which now appears to have taken place twice as early as previously thought.

Thankfully, Schlebusch et al. do not only give absolute age estimates, but also express their age estimates in terms of the effective population size. But, the effective population size is indirectly linked to the autosomal mutation rate, as I noted in my review of Gronau et al. and Veeramah et al., i.e. the two papers cited for the effective population size of 21,000 individuals. In order to generate the same amount of genetic divergence, a slower mutation rate requires a higher population size. Ergo, I don't think the estimates of Schlebusch et al. are discordant with those of Scally and Durbin, and, the two may harmonize once effective population sizes are re-calculated on the basis of the slow human autosomal mutation rate.

The authors do acknowledge the possibility of archaic admixture in Africa. In my opinion, the presence of this admixture can harmonize the evidence of shallow common ancestry with Eurasians and African farmers (e.g., in the form of Y-haplogroup E) with the deep autosomal divergence times.

I am also looking forward to getting the new data when it appears at the Jakobsson lab data page. Together with the HGDP San (on both Affymetrix and Illumina platforms), and the Henn et al. data, there will shortly be no shortage of data on the Khoe-San. And, together with the data from Pagani et al. on Ethiopia it may be a good idea to update my africa9 calculator when I find the time for it.

Science DOI: 10.1126/science.1227721

Genomic Variation in Seven Khoe-San Groups Reveals Adaptation and Complex African History

Carina M. Schlebusch et al.

The history of click-speaking Khoe-San, and African populations in general, remains poorly understood. We genotyped ~2.3 million SNPs in 220 southern Africans and found that the Khoe-San diverged from other populations >=100,000 years ago, but structure within the Khoe-San dated back to about 35,000 years ago. Genetic variation in various sub-Saharan populations did not localize the origin of modern humans to a single geographic region within Africa; instead, it indicated a history of admixture and stratification. We found evidence of adaptation targeting muscle function and immune response, potential adaptive introgression of UV-light protection, and selection predating modern human diversification involving skeletal and neurological development. These new findings illustrate the importance of African genomic diversity in understanding human evolutionary history.

Link

How some Bantu got clickin' (Barbieri et al. 2012)

Eur J Hum Genet. 2012 Aug 29. doi: 10.1038/ejhg.2012.192. [Epub ahead of print]

Genetic perspectives on the origin of clicks in Bantu languages from southwestern Zambia. 

Barbieri C, Butthof A, Bostoen K, Pakendorf B. Source Max Planck Research Group on Comparative Population Linguistics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.

Abstract 

Some Bantu languages spoken in southwestern Zambia and neighboring regions of Botswana, Namibia, and Angola are characterized by the presence of click consonants, whereas their closest linguistic relatives lack such clicks. As clicks are a typical feature not of the Bantu language family, but of Khoisan languages, it is highly probable that the Bantu languages in question borrowed the clicks from Khoisan languages. In this paper, we combine complete mitochondrial genome sequences from a representative sample of populations from the Western Province of Zambia speaking Bantu languages with and without clicks, with fine-scaled analyses of Y-chromosomal single nucleotide polymorphisms and short tandem repeats to investigate the prehistoric contact that led to this borrowing of click consonants. Our results reveal complex population-specific histories, with female-biased admixture from Khoisan-speaking groups associated with the incorporation of click sounds in one Bantu-speaking population, while concomitant levels of potential Khoisan admixture did not result in sound change in another. Furthermore, the lack of sequence sharing between the Bantu-speaking groups from southwestern Zambia investigated here and extant Khoisan populations provides an indication that there must have been genetic substructure in the Khoisan-speaking indigenous groups of southern Africa that did not survive until the present or has been substantially reduced. 

  Link

Redating of Later Stone Age brings it in line with Upper Paleolithic

Two new papers in PNAS document that the Later Stone Age (LSA), the period of African prehistory corresponding to the Upper Paleolithic in Europe, began earlier than previously thought (c. 44ka BP), and contained elements of the material culture of present-day San populations.

There really seems to have been a Big Bang of sorts during that time that has now been shown to have affected most of the world: early modern humans in Europe were replacing Neandertals and starting the Aurignacian, fishing in the open seas in East Timor, and, now it seems, hunting and living in a very modern way in South Africa.

Intriguingly, the evidence for archaic admixture in Africa (Lachance et al. 2012; Hammer et al. 2011) point to about the same time. And, the 37,000 year old Hofmeyr skull from South Africa is most similar to early Upper Paleolithic European specimens. Together with new evidence about the human Y-chromosome phylogeny, it seems inescapable that something very big was taking place all over the world around the same time, something quite akin to the spread of a new people and not only to a spread of a new technology or way of thinking.

While precursors to modern human behavior have been documented in earlier contexts in Southern Africa and even among European Neandertals, these pale in comparison to the MP/MSA to UP/LSA transition. Here, we have near-simultaneous appearance of fully modern human behavior all over the planet, the appearance of fully modern skull forms with unmistakeable long range links, the rooting of most major Y-chromosome haplogroups, evidence for archaic admixture/disappearance. It was a real quantum leap in both human creativity and in the spread of human physical presence around the globe.

I have previously expressed the opinon that the "trigger" for this remarkable phenomenon can be found a few thousand years earlier, when the Sahara-Arabia belt entered a dry phase that would have driven its population outwards. But, really, the near simultaneous appearance of the same phenomenon all over the planet makes it difficult to find its ultimate source. These are exciting times for human origins research!

Press releases: Later Stone Age got earlier start in South Africa than thought, Modern culture 44,000 years ago
Coverage elsewhere: NY Times.

UPDATE I: From d' Errico et al.:

Contrary to lithic technology, which shows at Border Cave agradual evolution toward the ELSA starting after 56 ka (21), organic artifacts unambiguously reminiscent of LSA and San materialculture emerge relatively abruptly, highlighting an apparent mismatch in rates of cultural change. Our results support the view that what we perceive today as modern behavior is the resultof nonlinear trajectories that may be better understood whendocumented at a regional scale (7, 12–14, 21, 54).

Villa et al. also have a section on whether or not the MSA persisted longer than the arrival of the LSA:

Did MSA Technology Survive Until 26–20 ka in South Africa? Several sites in South Africa Lesotho and Swaziland are dated to the interval between 40 and 20 ka and defined as MSA or transitional MSA–LSA (11–15, 63). However, many assemblages have uncertain stratigraphy or small and undiagnostic inventories or are poorly dated or unpublished. A few have only preliminary descriptions. 

At Rose Cottage three layers (DY, DC, and RU) dated between ca. 30.8 and 27 ka are defined as final MSA (64). They are described as having bladelets produced by the bipolar technique but also having “MSA” types of formal tools (11). 

Strathalan Cave B (Eastern Cape) has two main layers dated between 29 and 25.7 ka. Their inventory, defined as late MSA, includes single and multiplatform cores, some blades, many irregular flakes, and very few retouched blades and flakes (65). At Boomplas Cave (Western Cape) the uppermost MSA level (BP), dated to 34–32 BP, is unpublished. Layer LPC contains an assemblage classified as LSA, with two bone points and few bladelets, dated to ca. 21 ka (2, 14). Systematic technological analyses and more dates are needed to break the impasse (63). 

It does seem that part of the reason why the MSA/LSA transition was dated later was that it did not happen simultaneously overnight. There is also very good reason to think that if the simultaneous appearance of modern behavior around the world was related to the spread of modern humans, then the modern San are not simple direct descendants of the Border Cave population, since their divergence from Eurasians greatly exceeds 100,000 years. A simpler explanation might be that at 44kya there was a migration of behaviorally modern people (evidenced e.g., by links between Hofmeyr and Eurasians), but that in Africa this set of people admixed with more divergent African populations; there is evidence of deep links between South and East Africans, as well as of more recent links between South  and West African farmers and East African pastoralists. Clearly, things were going on in the region in the last 40,000 years, as they seem to have done elsewhere.

PNAS doi: 10.1073/pnas.1202629109

Border Cave and the beginning of the Later Stone Age in South Africa

Paola Villa et al.

The transition from the Middle Stone Age (MSA) to the Later Stone Age (LSA) in South Africa was not associated with the appearance of anatomically modern humans and the extinction of Neandertals, as in the Middle to Upper Paleolithic transition in Western Europe. It has therefore attracted less attention, yet it provides insights into patterns of technological evolution not associated with a new hominin. Data from Border Cave (KwaZulu-Natal) show a strong pattern of technological change at approximately 44–42 ka cal BP, marked by adoption of techniques and materials that were present but scarcely used in the previous MSA, and some novelties. The agent of change was neither a revolution nor the advent of a new species of human. Although most evident in personal ornaments and symbolic markings, the change from one way of living to another was not restricted to aesthetics. Our analysis shows that: (i) at Border Cave two assemblages, dated to 45–49 and >49 ka, show a gradual abandonment of the technology and tool types of the post-Howiesons Poort period and can be considered transitional industries; (ii) the 44–42 ka cal BP assemblages are based on an expedient technology dominated by bipolar knapping, with microliths hafted with pitch from Podocarpus bark, worked suid tusks, ostrich eggshell beads, bone arrowheads, engraved bones, bored stones, and digging sticks; (iii) these assemblages mark the beginning of the LSA in South Africa; (iv) the LSA emerged by internal evolution; and (v) the process of change began sometime after 56 ka.

Link

PNAS doi: 10.1073/pnas.1204213109

Early evidence of San material culture represented by organic artifacts from Border Cave, South Africa

Francesco d’Errico et al.

Recent archaeological discoveries have revealed that pigment use, beads, engravings, and sophisticated stone and bone tools were already present in southern Africa 75,000 y ago. Many of these artifacts disappeared by 60,000 y ago, suggesting that modern behavior appeared in the past and was subsequently lost before becoming firmly established. Most archaeologists think that San hunter–gatherer cultural adaptation emerged 20,000 y ago. However, reanalysis of organic artifacts from Border Cave, South Africa, shows that the Early Later Stone Age inhabitants of this cave used notched bones for notational purposes, wooden digging sticks, bone awls, and bone points similar to those used by San as arrowheads. A point is decorated with a spiral groove filled with red ochre, which closely parallels similar marks that San make to identify their arrowheads when hunting. A mixture of beeswax, Euphorbia resin, and possibly egg, wrapped in vegetal fibers, dated to ~40,000 BP, may have been used for hafting. Ornaments include marine shell beads and ostrich eggshell beads, directly dated to ~42,000 BP. A digging stick, dated to ~39,000 BP, is made of Flueggea virosa. A wooden poison applicator, dated to ~24,000 BP, retains residues with ricinoleic acid, derived from poisonous castor beans. Reappraisal of radiocarbon age estimates through Bayesian modeling, and the identification of key elements of San material culture at Border Cave, places the emergence of modern hunter–gatherer adaptation, as we know it, to ~44,000 y ago.

Link

Khoisan genetic prehistory (Pickrell et al. 2012)

This appears to be the first paper using the specialized Affymetrix chip, which was announced some time ago, and used in some of my previous experiments. The new array has been dubbed "Affymetrix Human Origins array" and has been composed by intersecting panels of SNPs ascertained in individuals from several world populations.

It is of course great to see that this paper has appeared as a preprint in arXiv, and hopefully this is a trend that will continue; biology should be like physics, with papers appearing immediately online for commenting, and not hidden away in authors', editors', and reviewers' drawers for months if not years before they become available to all.

I will highlight some points of particular interest to me:

Some caveats of interpretation here are warranted. First, all the Khoisan populations have some level of admixture with non-Khoisan populations. There is thus no single \split time" in their history, and any method (like the one used here) that estimates a single such time will actually be estimating a composite of several signals. Second, we have made the modeling assumption that history involves populations splitting in two with no gene  ow after the split. More complex demographies are quite plausible, but render the interpretation of a split time nearly meaningless (if populations continue to exchange migrants after \splitting", they arguably have not split at all). We thus consider strong interpretations of split times estimated from genetic data to be impossible, but we nonetheless and the estimates to be useful in constraining the set of historical hypotheses that are consistent with the data. 

This echoes (somewhat) my sentiments about split times being a tug-of-war in the presence of admixture. Another interesting bit from the paper:

Interestingly, a few of the Khoe-speaking populations have slightly positive f4 statistics in this com- parison, and in the Shua the f4 statistic is significantly greater than zero. We speculate that some of the Khoe-speaking populations have a low level of east African ancestry, and that the relevant east African population was itself admixed with a western Eurasian population. The Shua also show a detectable signal of admixture LD, though we estimate the admixture date as much older (44 generations). This signal of east African ancestry specifically in Khoe-speaking populations is of particular interest in the light of the hypoth esis that the Khoe-Kwadi languages were brought to southern Africa by a pre-Bantu pastoralist immigration from eastern Africa [Guldemann, 2008] 

The authors also announce an improvement on TreeMix:

In the original TreeMix algorithm, one first builds the best-tting tree of populations. However, this approach is not ideal if there are many admixed populations (as in our application here, where all of the Khoisan populations are admixed). To get around this, we allow for known admixture events to be incorpo- rated into this tree-building step. Imagine that there are several populations that we think a priori might be unadmixed (in our applications, these are the Chimpanzee, Yoruba, Dinka, Europeans, and East Asians). We  first build the best tree of these unadmixed populations using the standard TreeMix algorithm. Now assume we have an independent estimate of the admixture level of each Khoisan population, and imagine we know the source population for the mixture. 

I don't think that Sub-Saharan African populations can any longer be considered unadmixed. When one used SNPs ascertained in Eurasian individuals, many Sub-Saharan populations appear symmetrically related to Eurasians, because they lack variation at sites where new polymorphism appeared outside Africa. 

This is not, however, the case when one uses SNPs ascertained in African individuals, and a clear pattern of differential affiliation with West Eurasians across the continent is evident. As I have said before, I strongly suspect that this is due to fairly late back-migration of Eurasians into Africa, carrying Y-haplogroup DE chromosomes. Within haplogroup CT, both its major subclades CF and DE are represented in Eurasia, and both D,E, and DE* as well. In Africa, as far as we know, only DE* and E are native. On balance, the weight of the evidence would suggest a Eurasian origin of the DE-YAP haplogroup.

(I would perhaps be as bold as to extend this into the even more basal clades of the phylogeny which turn up with surprising regularity in Eurasian datasets, and are usually discounted as the result of recent admixture. I'm not so sure; if recent admixture was at fault, then the African signal in Eurasia would be absolutely dominated by E-related lineages: but the A's and B's turn up in quite unexpected places. Are they really all recent Africans, or could they share a much deeper common ancestry? If I had deep pockets, I'd surely invest in genome sequencing the collection of such Eurasian erratics)

As a parting thought, I hope that the data used in this paper will become publicly available in time, perhaps when the article appears in journal form. True open science depends not only in the public availability of research results, but also of the data that produced them.

UPDATE: Here is the ADMIXTURE analysis from the paper (Figure 7):

It would have been nice if the Fst values between ancestral populations were reported in the paper; also, if an East Eurasian group was added in the analysis. In any case, there does appear a pattern of differential affiliation with the French population (K=2). At K=3 the main Sub-Saharan (blue) component emerges, and a few populations continue to exhibit an excess of West Eurasian affiliation.

arXiv:1207.5552v1 [q-bio.PE]
The genetic prehistory of southern Africa

Joseph K. Pickrell et al.

The hunter-gatherer populations of southern and eastern Africa are known to harbor some of the most ancient human lineages, but their historical relationships are poorly understood. We report data from 22 populations analyzed at over half a million single nucleotide polymorphisms (SNPs), using a genome-wide array designed for studies of history. The southern Africans-here called Khoisan-fall into two groups, loosely corresponding to the northwestern and southeastern Kalahari, which we show separated within the last 30,000 years. All individuals derive at least a few percent of their genomes from admixture with non-Khoisan populations that began 1,200 years ago. In addition, the Hadza, an east African hunter-gatherer population that speaks a language with click consonants, derive about a quarter of their ancestry from admixture with a population related to the Khoisan, implying an ancient genetic link between southern and eastern Africa.

Link

SMBE 2012 abstracts (Part II)

Some more abstracts from SMBE 2012.

The Neolithic trace in mitochondrial haplogroup U8 

Joana Barbosa Pereira 1,2 , Marta Daniela Costa 1,2 , Pedro Soares 2 , Luísa Pereira 2,3 , Martin Brian Richards 1,4 1 Institute of Integrative and Comparative Biology, Faculty of Biological Sciences, University of Leeds, Leeds, UK, 2 Instituto de Patologia e Imunologia Molecular da Universidade do Porto, Porto, Portugal,  3 Faculdade de Medicina da  Universidade do Porto, Porto, Portugal,  4 School of Applied Sciences, University of Huddersfield, Huddersfield, UK  

The mitochondrial DNA (mtDNA) still remains an important marker in the study of human history, especially if  considering the increasing amount of data available. Among the several questions regarding human history that are  under debate, the model of expansion of agriculture into Europe from its source in the Near East is still unclear. Recent  studies have indicated that clusters belonging to haplogroup K, a major clade from U8, might be related with the  Neolithic expansions. Therefore, it is crucial to identify the founder lineages of the Neolithic in Europe so that we may  understand the real genetic input of the first Near Eastern farmers in the current European population and comprehend  how agriculture spread so quickly throughout all Europe.  In order to achieve this goal, a total of 55 U8 samples from the Near East, Europe and North Africa were selected for  complete characterisation of mtDNA. A maximum-parsimonious phylogenetic tree was constructed using all published  sequences available so far. Coalescence ages of specific clades were estimated using ρ statistic, maximum likelihood  and Bayesian methods considering a mutation rate for the complete molecule corrected for purifying selection.   Our results show that U8 dates to ~37-54 thousand years ago (ka) suggesting that this haplogroup might have been  carried by the first modern humans to arrive in Europe, ~50 ka. Haplogroup K most likely originated in the Near East  ~23-32 ka where it might have remained during the Last Glacial Maximum, between 26-19 years ago. The majority of K  subclades date to the Late Glacial and are related with the repopulation of Europe from the southern refugia areas. Only  a few lineages appear to reflect post glacial, Neolithic or post-Neolithic expansions, mostly occurring within Europe. The  major part of the lineages dating to the Neolithic period seems to have an European origin with exception of haplogroup  K1a4 and K1a3. Clade K1a4 appears to be originated from the Near East where it also reaches its highest peak of  diversity. Despite the main clades of K1a4 arose in the Near East during the Late Glacial, its subclade K1a4a1 dates to  ~9-11 ka and is most likely related with the Neolithic dispersal to Europe. Similarly, K1a3 probably originated in the Near  East during the Late Glacial and its subclade K1a1a dispersed into Europe ~11-13 ka alongside with the expansion of  agriculture. 

Late Glacial Expansions in Europe revealed through the fine-resolution characterisation of mtDNA haplogroup  U8 

Marta Daniela Costa 1,2 , Joana Barbosa Pereira 1,2 , Pedro Soares 2 , Luisa Pereira 2,3 , Martin Brian Richards 1,4 1 Institute of Integrative and Comparative Biology, Faculty of Biological Sciences, University of Leeds, Leeds, UK, 2 IPATIMUP - Instituto de Patologia e Imunologia Molecular da Universidade do Porto, Porto, Portugal,  3 Faculdade de  Medicina, Universidade do Porto, Porto, Portugal,  4 School of Applied Sciences, University of Huddersfield, Huddersfield,  UK  

The maternally inherited and fast evolving mitochondrial DNA (mtDNA) molecule is a highly informative tool with which  to reconstruct human prehistory. This has become even more true in recent years, as mtDNA based studies are  becoming more robust and powerful due to the availability of complete mtDNA genomes. These allow better mutation  rate estimates and fine-resolution characterisation of the phylogeography of mtDNA haplogroups, or named  clades.  MtDNA haplogroup K, the major subclade of U8, occurs at low frequencies through West Eurasian populations,  and is much more common in Ashkenazi Jews. However, the lack of variation on the first hypervariable segment (HVSI) has precluded any meaningful phylogeographic analysis to date. We therefore completely sequenced 50 haplogroup  K and 5 non-K U8 mtDNA samples from across Europe and the Near East, and combined them with 343 genomes  previously deposited in GenBank, in order to reconstruct a detailed phylogenetic tree. By combining several inference  methods, including maximum parsimony, maximum likelihood and Bayesian inference it was possible to trace the  timescale and geography of the main expansions and dispersals associated with this lineage. We confirmed that  haplogroup K, dating to ~32 thousand years (ka) ago, descended from the U8 clade, which coalesces ~48 ka ago. The  latter is close to the timing of the first arrival of modern humans in Europe and U8 could be one of the few surviving  mtDNA lineages brought by the first settlers from the Near East. U8 split into the widespread U8b, at ~43 ka, and U8a,  which seems to have expanded only in Europe ~24 ka ago. Considering the pattern of diversity and the geographic  distribution, haplogroup K is most likely to have arisen in the Near East, ~32 ka ago. However, some subclades were  evidently carried to Europe during the Last Glacial Maximum (LGM). We observed significant expansions of haplogroup  K lineages in the Late Glacial period (14-19 ka), reflecting expansions out of refuge areas in southwest and possibly  also southeast Europe. 

Reticulated origin of domesticated tetraploid wheat 

Peter Civan Centro de Ciencias do Mar, Universidade do Algarve, Faro, Portugal  

The past 15 years have witnessed a notable scientific interest in the topic of crop domestication and the emergence of  agriculture in the Near East. Multi-disciplinary approaches brought a significant amount of new data and a multitude of  hypotheses and interpretations. However, some seemingly conflicting evidence, especially in the case of emmer wheat,  caused certain controversy and a broad scientific consensus on the circumstances of the wheat domestication has not  been reached, yet.  The past phylogenetic research has translated the issue of wheat domestication into somewhat simplistic mono- /polyphyletic dilemma, where the monophyletic origin of a crop signalizes rapid and geographically localized  domestication, while the polyphyletic evidence suggests independent, geographically separated domestication events.  Interestingly, the genome-wide and haplotypic data analyzed in several studies did not yield consistent results and the  proposed scenarios are usually in conflict with the archaeological evidence of lengthy domestication.  Here I suggest that the main cause of the above mentioned inconsistencies might lie in the inadequacy of the divergent,  tree-like evolutional model. The inconsistent phylogenetic results and implicit archaeological evidence indicate a  reticulate (rather than divergent) origin of domesticated emmer. Reticulated genealogy cannot be properly represented  on a phylogenetic tree; hence different sets of samples and genetic loci are prone to conclude different domestication  scenarios. On a genome-wide super-tree, the conflicting phylogenetic signals are suppressed and the origin of  domesticated crop may appear monophyletic, leading to misinterpretations of the circumstances of the Neolithic  transition.  The network analysis of multi-locus sequence data available for tetraploid wheat clearly supports the reticulated origin of  domesticated emmer and durum wheat. The concept of reticulated genealogy of domesticated wheat sheds new light  onto the emergence of Near-Eastern agriculture and is in agreement with current archaeological evidence of protracted  and dispersed emmer domestication.

High-coverage population genomics of diverse African hunter-gatherers 

Joseph Lachance 1 , Benjamin Vernot 2 , Clara Elbers 1 , Bart Ferwerda 1 , Alain Froment 3 , Jean-Marie Bodo 4 , Godfrey  Lema 5 , Thomas Nyambo 5 , Timothy Rebbeck 1 , Kun Zhang 6 , Joshua Akey 2 , Sarah Tishkoff 1 1 University of Pennsylvania, Philadelphia, PA, USA,  2 University of Washington, Seattle, WA, USA,  3 IRD-MNHN, Musee  de l'Homme, Paris, France,  4 Ministere de la Recherche Scientifique et de l’Innovation, Yaounde, Cameroon,  5 Muhimbili  University College of Health Sciences, Dar es Salaam, Tanzania,  6 University of California at San Diego, San Diego, CA,  USA     

In addition to their distinctive subsistence patterns, African hunter-gatherers belong to some of the most genetically  diverse populations on Earth.  To infer demographic history and detect signatures of natural selection, we sequenced  the whole genomes of five individuals in each of three geographically and linguistically diverse African hunter-gatherer  populations at >60x coverage.  In these 15 genomes we identify 13.4 million variants, many of which are novel,  substantially increasing the set of known human variation.  These variants result in allele frequency distributions that are  free of SNP ascertainment bias.  This genetic data is used to infer population divergence times and demographic history  (including population bottlenecks and inbreeding).  We find that natural selection continues to shape the genomes of  hunter-gatherers, and that deleterious genetic variation is found at similar levels for hunter-gatherers and African  populations with agricultural or pastoral subsistence patterns.  In addition, the genomes of each hunter-gatherer  population contain unique signatures of local adaptation.  These highly-divergent genomic regions include genes  involved in immunity, metabolism, olfactory and taste perception, reproduction, and wound healing.

Reconstructing past Native American genetic diversity in Puerto Rico from contemporary populations Marina Muzzio 1,2 , Fouad Zakharia 1 , Karla Sandoval 1 , Jake K. Byrnes 3 , Andres Moreno-Estrada 1 , Simon Gravel 1 , Eimear  Kenny 1 , Juan L. Rodriguez-Flores 5 , Chris R. Gignoux 6 , Wilfried Guiblet 4 , Julie Dutil 7 , The 1000 Genomes Consortium 0 ,  Andres Ruiz-Linares 8 , David Reich 9,10 , Taras K. Oleksyk 4 , Juan Carlos Martinez-Cruzado 4 , Esteban Gonzalez  Burchard 6 , Carlos D. Bustamante 1 1 Department of Genetics, Stanford University School of Medicine, Stanford, California, USA,  2 Facultad de Ciencias  Naturales, Universidad Nacional de La Plata, La Plata, Buenos Aires, Argentina,  3 Ancestry. com®, San Francisco,  California, USA,  4 Department of Biology, University of Puerto Rico at Mayagüez, Mayagüez, Puerto Rico,  5 Department  of Genetic Medicine, Weill Cornell Medical College, New York, New York, USA,  6 Institute for Human Genetics,  University of California San Francisco, San Francisco, California, USA,  7 Ponce School of Medicine, Ponce, Puerto Rico, 8 Department of Genetics, Evolution and Environment. University College London, London, UK,  9 Department of  Genetics, Harvard Medical School, Boston, Massachusetts, USA,  10 Broad Institute of MIT and Harvard, Cambridge,  Massachusetts, USA  

The Caribbean region has a rich cultural and biological diversity, including several countries with different languages,  and important historical events like the arrival of the Europeans in the late fifteenth century affected it deeply. Although it  has been said that two main Native American groups peopled the Caribbean at the time of Columbus’s voyages—the  Arawakan-speaking Tainos and the Caribs—this model has been questioned because it comes from the descriptions  written by the conquerors. The archaeological record shows a richer picture of trade among the islands, cultural change  and diversity than what colonial documents depict, from the early settlements around 8000 B.P. to the chiefdoms and  towns at the time of contact. How this area was peopled and how its inhabitants interacted with the surrounding  continent are questions that remain to be answered due to the fragmentary nature of the historical and archaeological  records.   
We aim to reconstruct the Native American genetic diversity from the time of the Spanish arrival at the island of Puerto  Rico from its contemporary population. We seek to find out how the original peopling of Puerto Rico occurred, along  with which contemporary Native American populations are the most closely related to the Native tracks found. We used  PCAdmix to trace Native American segments in admixed individuals, thus enabling us to reconstruct the original native  lineages previous to the European and African contact.   

Specifically, we generated local ancestry calls for the 70 parents of the 35 complete Puerto Rican trios from the wholegenome and Illumina Omni 2.5M chip Genotype data of the 1000 Genomes Project, both to examine genome-wide  admixture patterns and to infer demographic historical events from ancestry tract length distributions and an ancestryspecific PCA approach, adding 55 Native American groups as potential source populations (N=475 genotyped through  Illumina’s 650K array) and 15 selected Mexican trios (genotyped on Affymetrix’s 6.0 array, including about 906,000  SNPs) to provide population context. ADMIXTURE analysis has shown that in Puerto Rico there is no single source of  contribution for the Native component. Rather, this component seems to include a mixture of major Mexican and  Andean components with little contributions from the Amazonian isolates. On the other hand, the ancestry-specific PCA  plotted the Puerto Rican Native segments tightly clustered with the Native segments of groups from the same language  family as the Tainos (Equatorial-Tucanoan), showing a clear association between linguistics and genetics instead of a  geographical one.

 Inference of demographic history and natural selection in African Pygmy populations from whole-genome  sequencing data

 Martin Sikora 1 , Etienne Patin 2 , Helio Costa 1 , Katherine Siddle 2 , Brenna M Henn 1 , Jeffrey M Kidd 1,3 , Ryosuke Kita 1 ,  Carlos D Bustamante 1 , Lluis Quintana-Murci 2 1 Department of Genetics, School of Medicine, Stanford Uni, Stanford, CA, USA,  2 Unit of Human Evolutionary Genetics,  Institut Pasteur, CNRS URA3012, Paris, France,  3 Departments of Human Genetics and Computational Medicine and  Bioinformatics, University of Michigan Medical School, Ann Arbor, MI, USA     

The Pygmy populations of Central Africa are some of the last remaining hunter-gatherers among present-day human  populations, and can be broadly classified into two geographically separated groups, the Western and Eastern Pygmies.  Compared to their neighboring populations of predominantly Bantu origin, Pygmy populations show distinct cultural and  physical characteristics, most notably short stature, often referred to as the “Pygmy phenotype”. Given their distinct  physical characteristics, the questions of the demographic history and origin of the Pygmy phenotype have attracted  much attention. Previous studies have shown an ancient divergence (~60,000 years ago) of the ancestors of modernday Pygmies from non-Pygmies, and a more recent split of the Eastern and Western Pygmy groups. However, these  studies were generally based on a relatively small set of markers, precluding accurate estimations of demographic  parameters. Furthermore, despite the considerable interest, to date there is still little known about the genetic basis of  the small stature phenotype of Pygmy populations.   

In order to address these questions, we sequenced the genomes of 47 individuals from three populations: 20 Baka, a  Pygmy hunter-gatherer population from the Western subgroup of the African Pygmies; 20 Nzebi, a neighboring nonPygmy agriculturist population from the Bantu ethnolinguistic group; as well as 7 Mbuti, Eastern Pygmy population, from  the Human Genome Diversity Project (HGDP). We performed whole-genome sequencing using Illumina Hi-Seq 2000 to  a median sequencing depth of 5.5x per individual. After stringent quality control filters, we call over 17 Million SNPs  across the three populations, 32% of them novel (relative to dbSNP 132). Genotype accuracy after imputation was  assessed using genotype data from the Illumina OMNI1 SNP array, and error rates were found to be comparable to  other low-coverage studies (< 3% for most individuals). Preliminary results show relatively low genetic differentiation  between the Baka and the Nzebi (mean FST = 0.026), whereas the Mbuti show higher differentiation to both Baka and  Nzebi (mean FST = 0.060 and 0.070, respectively). Furthermore, we find that alleles previously found to be associated with height in other populations are not enriched for the “small” alleles in the Pygmy populations. We find a number of  highly differentiated genomic regions as candidate loci for height differentiation, which will be verified using simulations  under the best-fit demographic model, inferred from multi-dimensional allele frequency spectra using DaDi. Our dataset  will allow a detailed investigation of the demographic history and the genomics of adaptation in these populations.

Genetic structure in North African human populations and the gene flow to Southern Europe

Laura R Botigué 1 , Brenna M Henn 2 , Simon Gravel 2 , Jaume Bertranpetit 1 , Carlos D Bustamante 2 , David Comas 1 1 Institut de Biologia Evolutiva (IBE, CSIC-UPF), Barcelona, Spain,  2 Stanford University, Stanford CA, USA Despite being in the African continent and at the shores of the Mediterranean, North African populations might have  experienced a different population history compared to their neighbours. However, the extent of their genetic divergence  and gene flow from neighbouring populations is poorly understood. In order to establish the genetic structure of North  Africans and the gene flow with the Near East, Europe and sub-Saharan Africa, a genomewide SNP genotyping array  data (730,000 sites) from several North African and Spanish populations were analysed and compared to a set of  African, European and Middle Eastern samples. We identify a complex pattern of autochthonous, European, Near  Eastern, and sub-Saharan components in extant North African populations; where the autochthonous component  diverged from the European and Near Eastern component more than 12,000 years ago, pointing to a pre-Neolithic  ‘‘back-to-Africa’’ gene flow. To estimate the time of migration from sub-Saharan populations into North Africa, we  implement a maximum likelihood dating method based on the frequency and length distribution of migrant tracts, which  has suggested a migration of western African origin into Morocco ~1,200 years ago and a migration of individuals with  Nilotic ancestry into Egypt ~ 750 years ago.  We characterize broad patterns of recent gene flow between Europe and Africa, with a gradient of recent African  ancestry that is highest in southwestern Europe and decreases in northern latitudes. The elevated shared African  ancestry in SW Europe (up to 20% of the individuals’ genomes) can be traced to populations in the North African  Maghreb. Our results, based on both allele-frequencies and shared haplotypes, demonstrate that recent migrations from  North Africa substantially contribute to the higher genetic diversity in southwestern Europe

Estimating a date of mixture of ancestral South Asian populations

Priya Moorjani 1,2 , Nick Patterson 2 , Periasamy Govindaraj 3 , Danish Saleheen 4 , John Danesh 4 , Lalji Singh* 3,5 ,  Kumarasamy Thangaraj* 3 , David Reich* 1,2 1 Harvard University, Boston, Massachusetts, USA,  2 Broad Institute, Cambridge, Massachusetts, USA,  3 Centre for  Cellular and Molecular Biology, Hyderabad, Andhra Pradesh, India,  4 Dept of Public Health and Care, University of  Cambridge, Cambridge, UK,  5 Genome Foundation, Hyderabad, Andhra Pradesh, India Linguistic and genetic studies have demonstrated that almost all groups in South Asia today descend from a mixture of  two highly divergent populations: Ancestral North Indians (ANI) related to Central Asians, Middle Easterners and  Europeans, and Ancestral South Indians (ASI) not related to any populations outside the Indian subcontinent. ANI and  ASI have been estimated to have diverged from a common ancestor as much as 60,000 years ago, but the date of the  ANI-ASI mixture is unknown. Here we analyze data from about 60 South Asian groups to estimate that major ANI-ASI  mixture occurred 1,200-4,000 years ago. Some mixture may also be older—beyond the time we can query using  admixture linkage disequilibrium—since it is universal throughout the subcontinent: present in every group speaking  Indo-European or Dravidian languages, in all caste levels, and in primitive tribes. After the ANI-ASI mixture that  occurred within the last four thousand years, a cultural shift led to widespread endogamy, decreasing the rate of  additional mixture.   

Long IBD in Europeans and recent population history 

Peter Ralph, Graham Coop  UC Davis, Davis, CA, USA  

Numbers of common ancestors shared at various points in time across populations  can tell us about recent demography, migration, and population movements.  These rates of shared ancestry over tens of generations can be inferred from  genomic data, thereby dramatically increasing our ability to infer population  history much more recent than was previously possible with population genetic  techniques.  We have analyzed patterns of IBD in a dataset of thousands of  Europeans from across the continent, which provide a window into recent  European geographic structure and migration.   

Gene flow between human populations during the exodus from Africa, and the timeline of recent human  evolution  

Aylwyn Scally, Richard Durbin  Wellcome Trust Sanger Institute, Hinxton, Cambridgeshire, UK 

We present a novel test for historical gene flow between populations using unphased genotypes in present-day  individuals, based on the sharing of derived alleles and making a minimal set of assumptions about their demographic  history. We apply this test to data for three human individuals of African, European and Asian ancestry. We find that the  joint distribution of European and Asian genotypes is compatible with these populations having separated cleanly at  some time in the past without subsequent genetic exchange. However the same is not true of the European-African and  Asian-African distributions, which instead suggest an extended period of continued exchange between African and nonAfrican populations after their initial separation. 

We discuss this in comparison with recent models and estimates of separation time between these populations. We  also consider the impact of recent direct experimental studies of the human mutation rate, which suggest rates of  around 0.5 × 10 -9  bp -1  y -1 , substantially lower than prior estimates of 1 × 10 -9  bp -1  y -1  obtained from calibration against  the primate fossil record. We show that in several places the lower rate, implying older dates, yields better agreement  between genetic and non-genetic (paleoanthropological and archaeological) evidence for events surrounding the  exodus of modern humans from Africa and their dispersion worldwide.

Long-term presence versus recent admixture: Bayesian and approximate-Bayesian analyses of genetic  diversity of human populations in Central Asia 

Friso Palstra, Evelyne Heyer, Frederic Austerlitz  Eco-anthropologie et Ethnobiologie UMR 7206 CNRS, Equipe Genetique des Populations Humaines, Museum National  d'Histoire Naturelle, Paris, France 

A long-standing goal in population genetics is to unravel the relative importance of evolutionary forces that shape  genetic diversity. Here we focus on human populations in Central Asia, a region that has long been known to contain  the highest genetic diversity on the Eurasian continent. However, whether this variation principally reflects long-term  presence, or rather the result of admixture associated with repeated migrations into this region in more recent historical  times, remains unclear. Here we investigate the underlying demographic history of Central Asian populations in explicit  relation to Western Europe, Eastern Asia and the Middle East. For this purpose we employ both full Bayesian and  approximate-Bayesian analyses of nuclear genetic diversity in 20 unlinked non-coding resequenced DNA regions,  known to be at least 200 kb apart from any known gene, mRNA or spliced EST (total length of 24 kb), and 22 unlinked  microsatellite loci.   

Using an approximate Bayesian framework, we find that present patterns of genetic diversity in Central Asia may be  best explained by a demographic history which combines long-term presence of some ethnic groups (Indo-Iranians)  with a more recent admixed origin of other groups (Turco-Mongols). Interestingly, the results also provide indications  that this region might have genetically influenced Western European populations, rather than vice versa. A further  evaluation in MCMC-based Bayesian analyses of isolation-with-migration models confirms the different times of  establishment of ethnic groups, and suggests gene flow into Central Asia from the east. The results from the  approximate Bayesian and full Bayesian analyses are thus largely congruent. In conclusion, these analyses illustrate  the power of Bayesian inference on genetic data and suggest that the high genetic diversity in Central Asia reflects both  long-term presence and admixture in more recent historical times. 

Population structure and evidence of selection in the Khoe-San and Coloured populations from southern Africa 

Carina Schlebusch 1 , Pontus Skoglund 1 , Per Sjödin 1 , Lucie Gattepaille 1 , Sen Li 1 , Flora Jay 2 , Dena Hernandez 3 , Andrew  Singleton 3 , Michael Blum 2 , Himla Soodyall 4,5 , Mattias Jakobsson 1 1 Uppsala University, Uppsala, Sweden,  2 Université Joseph Fourier, Grenoble, France,  3 National Institute on Aging (NIH),  Bethesda, USA,  4 University of the Witwatersrand, Johannesburg, South Africa,  5 National Health Laboratory Service,  Johannesburg, South Africa  

The San and Khoe people currently represent remnant groups of a much larger and widely distributed population of  hunter-gatherers and pastoralists who had exclusive occupation of southern Africa before the arrival of Bantu-speaking  groups in the past 1,200 years and sea-borne immigrants within the last 350 years. Mitochondrial DNA, Y-chromosome  and autosomal studies conducted on a few San groups revealed that they harbour some of the most divergent lineages  found in living peoples throughout the world.   

We used autosomal data to characterize patterns of genetic variation among southern African individuals in order to  understand human evolutionary history, in particular the demographic history of Africa. To this end, we successfully  genotyped ~ 2.3 million genome wide SNP markers in 220 individuals, comprising seven Khoe-San, two Coloured and  two Bantu-speaking groups from southern Africa. After quality filtering, the data were combined with publicly available  SNP data from other African populations to investigate stratification and demography of African populations.  

We also  applied a newly developed method of estimating population topology and divergence times. Genotypes and inferred  haplotypes were used to assess genetic diversity, patterns of haplotype variation and linkage disequilibrium in different  populations.  We found that six of the seven Khoe-San populations form a common population lineage basal to all other modern  human populations. The studied Khoe-San populations are genetically distinct, with diverse histories of gene flow with  surrounding populations. A clear geographic structuring among Khoe-San groups was observed, the northern and  southern Khoe-San groups were most distinct from each other with the central Khoe-San group being intermediate. The  Khwe group contained variation that distinguished it from other Khoe-San groups. Population divergence within the  Khoe-San group is approximately 1/3 as ancient as the divergence of the Khoe-San as a whole to other human  populations (on the same order as the time of divergence between West Africans and Eurasians). Genetic diversity in  some, but not all, Khoe-San populations is among the highest worldwide, but it is influenced by recent admixture. We  furthermore find evidence of a Nilo-Saharan ancestral component in certain Khoe-San groups, possibly related to the  introduction of pastoralism to southern Africa.   

We searched for signatures of selection in the different population groups by scanning for differentiated genome-regions  between populations and scanning for extended runs of haplotype homozygosity within populations. By means of the  selection scans, we found evidence for diverse adaptations in groups with different demographic histories and modes of  subsistence. 

Impacts of life-style on human evolutionary history: A genome-wide comparison of herder and farmer  populations in Central Asia 

Michael C. Fontaine 1,2 , Laure Segurel 2,3 , Christine Lonjou 4 , Tatiana Hegay 5 , Almaz Aldashev 6 , Evelyne Heyer 2 , Frederic  Austerlitz 1,2 1 Ecology, Systematics & Evolution. UMR8079 Univ. Paris Sud - CNRS - AgroParisTech, Orsay, France,  2 EcoAnthropologie et Ethnobiologie, UMR 7206 CNRS, MNHN, Univ Paris Diderot, Sorbonne Paris Cite, Paris, France, 3 Department of Human Genetics, University of Chicago, Chicago, USA,  4 C2BiG (Centre de  Bioinformatique/Biostatistique Genomique d’Ile de France), Plateforme Post-genomique P3S, Hopital Pitie Salpetriere,  Paris, France,  5 Uzbek Academy of Sciences, Institute of Immunology, Tashkent, Uzbekistan,  6 Institute of Molecular  Biology and Medicine, National Center of Cardiology and Internal Medicine, Bishkek,  

Kyrgyzstan Human populations use a variety of subsistence strategies to exploit an exceptionally broad range of habitats and  dietary components. These aspects of human environments have changed dramatically during human evolution, giving  rise to new selective pressures. Here we focused on two populations in Central Asia with long-term contrasted lifestyles:  Kyrgyz’s that are traditionally nomadic herders, with a traditional diet based on meat and milk products, and Tajiks that  are traditionally agriculturalists, with a traditional diet based mostly on cereals. We genotyped 93 individuals for more  than 600,000 SNP markers (Human-660W-Quad-V1.0 from Illumina) spread across the genome. We first analysed the  population structure of these two populations in the world-wide context by combining our results with other available  genome-wide data. Principal component and Bayesian clustering analyses revealed that Tajiks and Kirgiz’s are both  admixed populations which differed however from each other with respect to their ancestry proportions: Tajiks display a  much larger proportion of common ancestry with European populations while Kirgiz’s share a larger common ancestry  with Asiatic populations. We then examined the region of the genome displaying unusual population differentiation  between these two populations to detect natural selection and checked whether they were specific to Central Asia or  not. We complemented these analyses with haplotype-based analyses of selection. 

Bayesian inference of the demographic history of Niger-Congo speaking populations 

Isabel Alves 1,2 , Lounès Chikhi 2,3 , Laurent Excoffier 1,4 1 CMPG, Institute of Ecology and Evolution, Berne, Switzerland,  2 Population and Conservation Genetics Group, Instituto  Gulbenkian de Ciência, Oeiras, Portugal,  3 CNRS, Université Paul Sabatier, ENFA, Toulouse, France,  4 Swiss Institute of  Bioinformatics, Lausanne, Switzerland  

The Niger-Congo phylum encompasses more than 1500 languages spread over sub-Saharan Africa. This current wide  range is mostly due to the spread of Bantu-speaking people across sub-equatorial regions in the last 4000-5000 years.  Although several genetic studies have focused on the evolutionary history of Bantu-speaking groups, much less effort  has been put into the relationship between Bantu and non-Bantu Niger-Congo groups. Additionally, archaeological and  linguistic evidence suggest that the spread of these populations occurred in distinct directions from the core region  located in what is now the border between Nigeria and Cameroon towards West and South Africa, respectively. We  have performed coalescent simulations within an approximate Bayesian computation (ABC) framework in order to  statistically evaluate the relative probability of alternative models of the spread of Niger-Congo speakers and to infer  demographic parameters underlying these important migration events. We have analysed 61 high-quality microsatellite  markers, genotyped in 130 individuals from three Bantu and three non Bantu-speaking populations, representing a  "Southern wave" or the Bantu expansion, and a "Western wave", respectively. Preliminary results suggest that models  inspired by a spatial spread of the populations are better supported than classical isolation with migration (IM) models.  We also find that Niger-Congo populations currently maintain high levels of gene flow with their neighbours, and that  they expanded from a single source between 200 and 600 generations, even though available genetic data do not  provide enough information to accurately infer these demographic parameters.

A genetic study of skin pigmentation variation in India  

Mircea Iliescu1 , Chandana Basu Mallick 2,3 , Niraj Rai 4 , Anshuman Mishra 4 , Gyaneshwer Chaubey 2 , Rakesh Tamang 4 ,  Märt Möls 3 , Rie Goto 1 , Georgi Hudjashov 2,3 , Srilakshmi Raj 1 , Ramasamy Pitchappan 5 , CG Nicholas Mascie-Taylor 1 , Lalji  Singh 4,6 , Marta Mirazon-Lahr 7 , Mait Metspalu 2,3 , Kumarasamy Thangaraj 4 , Toomas Kivisild 1,3 1 Division of Biological Anthropology, University of Cambridge, Cambridge, UK,  2 Evolutionary Biology Group, Estonian  Biocentre, Tartu, Estonia,  3 Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia,  4 Centre for Cellular  and Molecular Biology, Hyderabad, India,  5 Chettinad Academy of Research and Education, Chettinad Health City,  Chennai, India,  6 Banaras Hindu University, Varanasi, India,  7 Leverhulme Centre for Human Evolutionary Studies,  Division of Biological Anthropology, University of Cambridge, Cambridge, UK  

Human skin colour is a polygenic trait that is primarily determined by the amount and type of melanin produced in the  skin. The pigmentation variation between human populations across the world is highly correlated with geographic  latitude and the amount of UV radiation. Association studies together with research involving different model organisms  and coat colour variation have largely contributed to the identification of more than 378 pigmentation candidate genes.  These include TYR OCA2, that are known to cause albinism, MC1R responsible for the red hair phenotype, and genes  such as MATP, SLC24A5 and ASIP that are involved in normal pigmentation variation. In particular, SLC24A5 has been  shown to explain one third of the pigmentation difference between Europeans and Africans. However, the same gene  cannot explain the lighter East Asian phenotype; therefore, light pigmentation could be the result of convergent  evolution. A study on UK residents of Pakistani, Indian and Bangladeshi descent found significant association of  SLC24A5, SLC45A2 and TYR genes with skin colour. While these genes may explain a significant proportion of  interethnic differences in skin colour, it is not clear how much variation such genes explain within Indian populations  who are known for their high level of diversity of pigmentation. We have tested 15 candidate SNPs for association with  melanin index in a large sample of 1300 individuals, from three related castes native to South India. Using logistic  regression model we found that SLC24A5 functional SNP, rs1426654, is strongly associated with pigmentation in our  sample and explains alone more than half of the skin colour difference between the light and the dark group of  individuals. Conversely, the other tested SNPs fail to show any significance; this strongly argues in favour of one gene  having a major effect on skin pigmentation within ethnic groups of South India, with other genes having small additional  effects on this trait. We genotyped the SLC24A5 variant in over 40 populations across India and found that latitudinal  differences alone cannot explain its frequency patterns in the subcontinent. Key questions arising from this research are  when and where did the light skin variant enter South Asia and the manner and reason for it spreading across the Indian  sub-continent. Hence, a comprehensive view of skin colour evolution requires that in depth sequence information be  corroborated with population (genetic) history and with ancient DNA data of past populations of Eurasia.