Carina M. Schlebusch

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

African Origins Humans originated in Africa and then spread across the globe. The high genetic diversity found in sub-Saharan Africa is consistent with this view, but the relationships among and within African populations have been less well explored. Schlebusch et al. (p. 374, published online 20 September) genotyped 220 individuals from 11 populations representing groups from Southern Africa to determine their relationships and history. The data suggest that modern-day human populations arose from a complex blend of mixing between groups and genetic stratification. Cutting-edge genomic approaches test hypotheses about the roots of human history in southern African indigenous populations. The history of click-speaking Khoe-San, and African populations in general, remains poorly understood. We genotyped ∼2.3 million single-nucleotide polymorphisms in 220 southern Africans and found that the Khoe-San diverged from other populations ≥100,000 years ago, but population 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 protection from ultraviolet light; 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.

Human Adaptation to Arsenic-Rich Environments

Adaptation drives genomic changes; however, evidence of specific adaptations in humans remains limited. We found that inhabitants of the northern Argentinean Andes, an arid region where elevated arsenic concentrations in available drinking water is common, have unique arsenic metabolism, with efficient methylation and excretion of the major metabolite dimethylated arsenic and a less excretion of the highly toxic monomethylated metabolite. We genotyped women from this population for 4,301,332 single nucleotide polymorphisms (SNPs) and found a strong association between the AS3MT (arsenic [+3 oxidation state] methyltransferase) gene and mono- and dimethylated arsenic in urine, suggesting that AS3MT functions as the major gene for arsenic metabolism in humans. We found strong genetic differentiation around AS3MT in the Argentinean Andes population, compared with a highly related Peruvian population (FST = 0.014) from a region with much less environmental arsenic. Also, 13 of the 100 SNPs with the highest genome-wide Locus-Specific Branch Length occurred near AS3MT. In addition, our examination of extended haplotype homozygosity indicated a selective sweep of the Argentinean Andes population, in contrast to Peruvian and Colombian populations. Our data show that adaptation to tolerate the environmental stressor arsenic has likely driven an increase in the frequencies of protective variants of AS3MT, providing the first evidence of human adaptation to a toxic chemical.

Genetic variation reveals large-scale population expansion and migration during the expansion of Bantu-speaking peoples

The majority of sub-Saharan Africans today speak a number of closely related languages collectively referred to as ‘Bantu’ languages. The current distribution of Bantu-speaking populations has been found to largely be a consequence of the movement of people rather than a diffusion of language alone. Linguistic and single marker genetic studies have generated various hypotheses regarding the timing and the routes of the Bantu expansion, but these hypotheses have not been thoroughly investigated. In this study, we re-analysed microsatellite markers typed for large number of African populations that—owing to their fast mutation rates—capture signatures of recent population history. We confirm the spread of west African people across most of sub-Saharan Africa and estimated the expansion of Bantu-speaking groups, using a Bayesian approach, to around 5600 years ago. We tested four different divergence models for Bantu-speaking populations with a distribution comprising three geographical regions in Africa. We found that the most likely model for the movement of the eastern branch of Bantu-speakers involves migration of Bantu-speaking groups to the east followed by migration to the south. This model, however, is only marginally more likely than other models, which might indicate direct movement from the west and/or significant gene flow with the western Branch of Bantu-speakers. Our study use multi-loci genetic data to explicitly investigate the timing and mode of the Bantu expansion and it demonstrates that west African groups rapidly expanded both in numbers and over a large geographical area, affirming the fact that the Bantu expansion was one of the most dramatic demographic events in human history.

Different contributions of ancient mitochondrial and Y-chromosomal lineages in 'Karretjie people' of the Great Karoo in South Africa

The Karretjie people of the South African Great Karoo are itinerants who subsist by sheep shearing. Although officially classified ‘Coloured’, they are aware of their Khoe and San roots. To investigate the maternal and paternal ancestries of the Karretjie people we analyzed their mitochondrial and Y-chromosome DNA variation. Their genetic ancestry was compared with a neighboring group of ‘Coloured’ individuals. We found that the mitochondrial DNA (mtDNA) haplogroup L0d was present in all the Karretjie people examined, suggesting a maternal contribution, exclusively from the Khoe and San, whereas the paternal ancestry in males was more heterogeneous. The Coloured sample, on the other hand, were found to have a lower frequency of L0d (64.5%), but did harbor other African (27.6%) and non-African (7.9%) mtDNA haplogroups. Similar to the Karretjie people, the Y-chromosome lineages identified in the Coloured group had heterogeneous origins. This study also enabled an assessment of mtDNA variation within L0d sub-haplogroups. All seven of the L0d sub-clades were identified in the combined sample and were used to construct an L0d network.

Southern African ancient genomes estimate modern human divergence to 350,000 to 260,000 years ago

Ancient DNA pushes human emergence back Anatomically modern humans evolved in Africa, but pinpointing when has been difficult. Schlebusch et al. sequenced three ancient African genomes from the Stone Age, about 2000 years old, and four from the Iron Age, 300 to 500 years old. One of the oldest samples, sequenced to 13× coverage, appears most closely to resemble individuals from the present-day San population. However, this individual seems to have lacked genetic contributions from other modern African populations, including pastoralists and farmers, which were observed in modern San individuals. Thus, the earliest divergence between human populations may have occurred 350,000 to 260,000 years ago. Science, this issue p. 652 Ancient African genomes push back the timing of the split between human populations. Southern Africa is consistently placed as a potential region for the evolution of Homo sapiens. We present genome sequences, up to 13x coverage, from seven ancient individuals from KwaZulu-Natal, South Africa. The remains of three Stone Age hunter-gatherers (about 2000 years old) were genetically similar to current-day southern San groups, and those of four Iron Age farmers (300 to 500 years old) were genetically similar to present-day Bantu-language speakers. We estimate that all modern-day Khoe-San groups have been influenced by 9 to 30% genetic admixture from East Africans/Eurasians. Using traditional and new approaches, we estimate the first modern human population divergence time to between 350,000 and 260,000 years ago. This estimate increases the deepest divergence among modern humans, coinciding with anatomical developments of archaic humans into modern humans, as represented in the local fossil record.

Possible positive selection for an arsenic-protective haplotype in humans

Background: Arsenic in drinking water causes severe health effects. Indigenous people in the South American Andes have likely lived with arsenic-contaminated drinking water for thousands of years. Inhabitants of San Antonio de los Cobres (SAC) in the Argentinean highlands generally carry an AS3MT (the major arsenic-metabolizing gene) haplotype associated with reduced health risks due to rapid arsenic excretion and lower urinary fraction of the monomethylated metabolite. Objectives: We hypothesized an adaptation to high-arsenic living conditions via a possible positive selection for protective AS3MT variants and compared AS3MT haplotype frequencies among different indigenous groups. Methods: Indigenous groups we evaluated were a) inhabitants of SAC and villages near Salta in northern Argentina (n = 346), b) three Native American populations from the Human Genome Diversity Project (HGDP; n = 25), and c) five Peruvian populations (n = 97). The last two groups have presumably lower historical exposure to arsenic. Results: We found a significantly higher frequency of the protective AS3MT haplotype in the SAC population (68.7%) compared with the HGDP (14.3%, p < 0.001, Fisher exact test) and Peruvian (50.5%, p < 0.001) populations. Genome-wide microsatellite (n = 671) analysis showed no detectable level of population structure between SAC and Peruvian populations (measure of population differentiation FST = 0.006) and low levels of structure between SAC and HGDP populations (FST < 0.055 for all pairs of populations compared). Conclusions: Because population stratification seems unlikely to explain the differences in AS3MT haplotype frequencies, our data raise the possibility that, during a few thousand years, natural selection for tolerance to the environmental stressor arsenic may have increased the frequency of protective variants of AS3MT. Further studies are needed to investigate this hypothesis.

Stronger signal of recent selection for lactase persistence in Maasai than in Europeans

Continued ability to digest lactose after weaning provides a possible selective advantage to individuals who have access to milk as a food source. The lactase persistence (LP) phenotype exists at varying frequencies in different populations and SNPs that modulate the regulation of the LCT gene have been identified in many of these populations. Very strong positive selection for LP has been illustrated for a single SNP (rs4988235) in northwestern European populations, which has become a textbook example of the effect of recent selective sweeps on genetic variation and linkage disequilibrium. In this study, we employed two different methods to detect signatures of positive selection in an East African pastoralist population in the HapMap collection, the Maasai from Kenya, and compared results with other HapMap populations. We found that signatures of recent selection coinciding with the LCT gene are the strongest across the genome in the Maasai population. Furthermore, the genome-wide signal of recent positive selection on haplotypic variation and population differentiation around the LCT gene is greater in the Maasai than in the CEU population (northwestern European descent), possibly due to stronger selection pressure, but it could also be an indication of more recent selection in Maasai compared with the Central European group or more efficient selection in the Maasai due to less genetic drift for their larger effective population size. This signal of recent selection is driven by a putative East African LP haplotype that is different from the haplotype that contributes to the LP phenotype in northwestern Europe.

Genetic variation and population structure of Sudanese populations as indicated by 15 Identifiler sequence-tagged repeat (STR) loci

BackgroundThere is substantial ethnic, cultural and linguistic diversity among the people living in east Africa, Sudan and the Nile Valley. The region around the Nile Valley has a long history of succession of different groups, coupled with demographic and migration events, potentially leading to genetic structure among humans in the region.ResultWe report the genotypes of the 15 Identifiler microsatellite markers for 498 individuals from 18 Sudanese populations representing different ethnic and linguistic groups. The combined power of exclusion (PE) was 0.9999981, and the combined match probability was 1 in 7.4 × 1017. The genotype data from the Sudanese populations was combined with previously published genotype data from Egypt, Somalia and the Karamoja population from Uganda. The Somali population was found to be genetically distinct from the other northeast African populations. Individuals from northern Sudan clustered together with those from Egypt, and individuals from southern Sudan clustered with those from the Karamoja population. The similarity of the Nubian and Egyptian populations suggest that migration, potentially bidirectional, occurred along the Nile river Valley, which is consistent with the historical evidence for long-term interactions between Egypt and Nubia.ConclusionWe show that despite the levels of population structure in Sudan, standard forensic summary statistics are robust tools for personal identification and parentage analysis in Sudan. Although some patterns of population structure can be revealed with 15 microsatellites, a much larger set of genetic markers is needed to detect fine-scale population structure in east Africa and the Nile Valley.

Issues raised by use of ethnic-group names in genome study

I question the ethnic labels used by Stephan Schuster and colleagues in their paper ‘Complete Khoisan and Bantu genomes from southern Africa’ (Nature 463, 943–947; 2010) and in the public database where they deposited the sequences. The authors explain their choice of names in their Supplementary Information, but the terms Khoisan, Bantu and Bushman are perceived by those populations as outdated and even derogatory. Khoisan derives from the Nama words for ‘person’ and ‘foragers’ and was coined by Leonard Schultze in 1928 as a collective term for the Khoi (later known as Khoe) pastoralist and the San hunter-gatherer groups. The term now persists only in a linguistic context, as in “Khoisan-speaking”. The same applies to Bantu, which means ‘people’ but which acquired an offensive connotation during the apartheid regime in South Africa. San communities (represented by the Working Group of Indigenous Minorities in Southern Africa and the South African San Institute) attending the 2003 African Human Genome Initiative conference declared a preference to be known either by their individual community names (!Xun or ‡Khomani, for example) or collectively as San, rather than as Bushmen or Khoisan. If the San need to be grouped with the Khoe pastoralist groups, the term Khoe–San is preferred. With southern Africa’s history of racism and discrimination, people are very sensitive to the labels assigned to them. It is important that subjects participating in scientific research feel that the scientific community respects their sentiments. Carina Schlebusch Department of Evolutionary Biology, Uppsala University, Norbyvägen 18D, 52 36 Uppsala, Sweden e-mail: cschlebu@gmail.com Schuster and colleagues reply: The naming conventions associated with indigenous hunter-gatherers of southern Africa are given in a historical, social and participant-driven context in the Supplementary Information to our paper (S. C. Schuster et al. Nature 463, 943–947; 2010). The four men we describe prefer to be addressed by their group names, namely Ju/’hoansi, !Kung and ‘N/uhmte, but such individual-group naming does not allow for identification at the linguistic and genetic levels. Historically, all group identifiers for indigenous hunter-gatherers of southern Africa have carried a negative connotation at some point, including those mentioned by Carina Schlebusch. In the post-apartheid era, a sense of common identity has emerged, based on shared experience and political awareness, leading to a recognition of the need for an overarching group name. However, the preferred identifier for these peoples continues to vary among groups, organizations and nations (see, for example, http://go.nature.com/hA6OgY). Given the disparate nature of this nomenclature, we used the terms with which the participants themselves were most comfortable, out of respect for their right to ethnic selfidentification. The Namibian hunter-gatherer participants chose the name ‘Bossiesman’ (Afrikaans for ‘bushmen’) as their group identifier and expressed pride in the affiliation, stressing that the negative connotation is almost obsolete. Archbishop Tutu has declared himself proud to be Bantu and Bushmen since becoming aware of his Bushmen ancestry through our study. Pennsylvania State University, Center for Comparative Genomics and Bioinformatics, University Park, Pennsylvania 16802, USA e-mail: scs@bx.psu.edu

Extensive Population Structure in San, Khoe, and Mixed Ancestry Populations from Southern Africa Revealed by 44 Short 5-SNP Haplotypes

Abstract 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. Genetic studies [mitochondrial deoxyribonucleic acid (DNA) and Y-chromosome] conducted on San and Khoe groups revealed that they harbor some of the most divergent lineages found in living peoples throughout the world. Recently, high-density, autosomal, single-nucleotide polymorphism (SNP)-array studies confirmed the early divergence of Khoe-San population groups from all other human populations. The present study made use of 220 autosomal SNP markers (in the format of both haplotypes and genotypes) to examine the population structure of various San and Khoe groups and their relationship to other neighboring groups.