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Miyagawa S, DeSalle R, Nóbrega VA, Nitschke R, Okumura M, Tattersall I. Linguistic capacity was present in the Homo sapiens population 135 thousand years ago. Front Psychol 2025; 16:1503900. [PMID: 40134728 PMCID: PMC11933122 DOI: 10.3389/fpsyg.2025.1503900] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2024] [Accepted: 02/06/2025] [Indexed: 03/27/2025] Open
Abstract
Recent genome-level studies on the divergence of early Homo sapiens, based on single nucleotide polymorphisms, suggest that the initial population division within H. sapiens from the original stem occurred approximately 135 thousand years ago. Given that this and all subsequent divisions led to populations with full linguistic capacity, it is reasonable to assume that the potential for language must have been present at the latest by around 135 thousand years ago, before the first division occurred. Had linguistic capacity developed later, we would expect to find some modern human populations without language, or with some fundamentally different mode of communication. Neither is the case. While current evidence does not tell us exactly when language itself appeared, the genomic studies do allow a fairly accurate estimate of the time by which linguistic capacity must have been present in the modern human lineage. Based on the lower boundary of 135 thousand years ago for language, we propose that language may have triggered the widespread appearance of modern human behavior approximately 100 thousand years ago.
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Affiliation(s)
- Shigeru Miyagawa
- Department of Linguistics and Philosophy, Massachusetts Institute of Technology, Cambridge, MA, United States
- Biosciences Institute, University of São Paulo, São Paulo, Brazil
- Research Center for Super-Smart Society, Seikei University, Tokyo, Japan
| | - Rob DeSalle
- American Museum of Natural History, Institute for Comparative Genomics, New York, NY, United States
| | | | - Remo Nitschke
- Institute for the Interdisciplinary Study of Language Evolution, University of Zurich, Zurich, Switzerland
- Department of Linguistics, University of Arizona, Tucson, AZ, United States
| | - Mercedes Okumura
- Laboratory of Human Evolutionary Studies, Department of Genetics and Evolutionary Biology, University of São Paulo, São Paulo, Brazil
| | - Ian Tattersall
- American Museum of Natural History, Division of Anthropology, New York, NY, United States
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2
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Grine FE, Post NW, Greening V, Crevecoeur I, Billings BK, Meyer A, Holt S, Black W, Morris AG, Veeramah KR, Mongle CS. Frontal sinus size in South African Later Stone Age Holocene Khoe-San. Anat Rec (Hoboken) 2025; 308:801-826. [PMID: 39118368 DOI: 10.1002/ar.25556] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2024] [Revised: 07/01/2024] [Accepted: 07/19/2024] [Indexed: 08/10/2024]
Abstract
Frontal size variation is comparatively poorly sampled among sub-Saharan African populations. This study assessed frontal sinus size in a sample of Khoe-San skeletal remains from South African Later Stone Age contexts. Volumes were determined from CT scans of 102 adult crania; individual sex could be estimated in 82 cases. Sinus volume is not sexually dimorphic in this sample. The lack of frontal sinus aplasia is concordant with the low incidences recorded for other sub-Saharan African and most other global populations save those that inhabit high latitudes. There is considerable variation in frontal sinus size among global populations, and the Khoe-San possess among the smallest. The Khoe-San have rather diminutive sinuses compared to sub-Saharan Bantu-speaking populations but resemble a northern African (Sudanese) population. Genetic studies indicate the earliest population divergence within Homo sapiens to have been between the Khoe-San and all other living groups, and that this likely occurred in Africa during the span of Marine Isotope Stages 8-6. There is scant information on frontal sinus development among Late Quaternary African fossils that are likely either closely related or attributable to Homo sapiens. Among these, the MIS 3 cranium from Hofmeyr, South Africa, exhibits distinct Khoe-San cranial affinities and despite its large size has a very small frontal sinus. This raises the possibility that the small frontal sinuses of the Holocene South African Khoe-San might be a feature retained from an earlier MIS 3 population.
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Affiliation(s)
- Frederick E Grine
- Department of Anthropology, Stony Brook University, Stony Brook, New York, USA
- Department of Anatomical Sciences, School of Medicine, Stony Brook University, New York, USA
| | - Nicholas W Post
- Richard Gilder Graduate School and Division of Anthropology, American Museum of Natural History, New York, New York, USA
| | | | - Isabelle Crevecoeur
- Laboratoire de la Préhistoire à l'Actuel: Culture, Environnement et Anthropologie, Université de Bordeaux, Pessac Cedex, France
- Chargée de Recherche CNRS, Université de Bordeaux, Pessac Cedex, France
| | - Brendon K Billings
- Human Variation and Identification Research Unit, School of Anatomical Sciences, Faculty of Health Sciences, University of the Witwatersrand Parktown, Johannesburg, South Africa
| | - Anja Meyer
- Human Variation and Identification Research Unit, School of Anatomical Sciences, Faculty of Health Sciences, University of the Witwatersrand Parktown, Johannesburg, South Africa
| | - Sharon Holt
- Florisbad Quaternary Research Station, National Museum, Bloemfontein, South Africa
| | - Wendy Black
- Archaeology Unit, Iziko Museums of South Africa, Cape Town, South Africa
| | - Alan G Morris
- Department of Human Biology, University of Cape Town, Cape Town, South Africa
| | - Krishna R Veeramah
- Department of Ecology & Evolution, Stony Brook University, Stony Brook, New York, USA
| | - Carrie S Mongle
- Department of Anthropology, Stony Brook University, Stony Brook, New York, USA
- Turkana Basin Institute, Stony Brook University, Stony Brook, New York, USA
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3
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Kirchengast S. Changes in weight status among "Ju/'hoansi" San hunter-gatherers between 1968/69 and 1987-The effects of nutritional transition, sex and age. AMERICAN JOURNAL OF BIOLOGICAL ANTHROPOLOGY 2024; 184:e24935. [PMID: 38572687 DOI: 10.1002/ajpa.24935] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 02/16/2024] [Accepted: 03/23/2024] [Indexed: 04/05/2024]
Abstract
BACKGROUND Changes in lifestyle and dietary habits that hunter-gatherer populations have undergone in recent decades have often led to rising obesity rates with disastrous consequences for their health. OBJECTIVES The associations between dietary habits and weight status were studied in 238 "Ju/'hoansi" San (93 women and 145 men) aged between 18 and 65 years in northern Namibia in 1987. Weight status was estimated based on the World Health Organization body mass index (BMI) categories, and dietary habits were recorded using food recall methods. Anthropometrics and weight status were compared with those of a sex- and age-matched sample of "Ju/'hoansi" San people collected by Nancy Howell in 1968/69. RESULTS Body weight had increased significantly among "Ju/'hoansi" San people from 1968/69 to 1987. The number of underweight people decreased from 1968/69 to 1987. In 1987, most participants (60.9%) were of normal weight. Overweight was found in 1.3% of the women, but not among men. No participants were obese. Less than 4% of the women and less than 2% of the men consumed exclusively traditional hunter-gatherer food. Westernized food products were significantly (p < 0.001) more common among men and younger people. Dietary patterns were significantly associated with weight status. The less traditional the diet, the higher the BMI (p < 0.001). CONCLUSION The transition to domestic agricultural and westernized foods was positively associated with increasing BMI. Overweight, however, was still an extremely rare condition in this population in 1987.
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Affiliation(s)
- Sylvia Kirchengast
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria
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4
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Grine FE, Mongle CS, Kollmer W, Romanos G, du Plessis A, Maureille B, Braga J. Hypercementosis in Late Pleistocene Homo sapiens fossils from Klasies River Main Site, South Africa. Arch Oral Biol 2023; 149:105664. [PMID: 36889227 DOI: 10.1016/j.archoralbio.2023.105664] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 02/23/2023] [Accepted: 02/26/2023] [Indexed: 03/06/2023]
Abstract
OBJECTIVE To examine early Homo sapiens fossils from the Late Pleistocene site of Klasies River Main Site, South Africa for evidence of hypercementosis. The specimens represent seven adult individuals dated to between 119,000 and 58,000 years ago. These observations are contextualized in relation to the incidences of hypercementosis among recent human populations and fossil human samples and the potential etiologies of hypercementosis. DESIGN The fossils were investigated utilizing micro-CT and nano-CT scanning to visualize and measure cementum apposition on permanent incisor, premolar and molar roots. Cementum thickness was measured at mid-root level, and the volume of the cementum sleeve was calculated for the two fossil specimens that display marked hypercementosis. RESULTS Two of the fossils display no evidence of cementum hypertrophy. Three exhibit moderate cementum thickening, barely attaining the quantitative threshold for hypercementosis. Two evince marked hypercementosis. One of the Klasies specimens with marked hypercementosis is judged to be an older individual with periapical abscessing. The second specimen is a younger adult, and seemingly similar in age to other Klasies fossils that exhibit only minimal cementum apposition. However, this second specimen exhibits dento-alveolar ankylosis of the premolar and molars. CONCLUSIONS These two fossils from Klasies River Main Site provide the earliest manifestation of hypercementosis in Homo sapiens.
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Affiliation(s)
- Frederick E Grine
- Department of Anthropology, Stony Brook University, Stony Brook, NY 11794, USA; Department of Anatomical Sciences, Stony Brook University, Stony Brook, NY 11794, USA.
| | - Carrie S Mongle
- Department of Anthropology, Stony Brook University, Stony Brook, NY 11794, USA; Turkana Basin Institute, Stony Brook University, Stony Brook, NY 11794, USA
| | - William Kollmer
- Department of Anthropology, Stony Brook University, Stony Brook, NY 11794, USA; Department of Periodontology, Stony Brook University School of Dental Medicine, Stony Brook, NY 11794, USA
| | - Georgios Romanos
- Department of Periodontology, Stony Brook University School of Dental Medicine, Stony Brook, NY 11794, USA
| | - Anton du Plessis
- Department of Physics, Stellenbosch University, Stellenbosch 7602, South Africa; Object Research Systems, 460 Saint-Catherine St. W, Montreal, Quebec H3B 1A7, Canada
| | - Bruno Maureille
- Université de Bordeaux, CNRS, Ministère de la Culture, PACEA, UMR5199, F-33600 Pessac, France
| | - José Braga
- Center for Anthrobiology & Genomics Institute of Toulouse, CNRS UMR 5288, Université de Toulouse, Université Paul Sabatier, 37 allées Jules Guesde, Toulouse 31000, France
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Smith CJ, Ashford JW. Apolipoprotein ɛ4-Associated Protection Against Pediatric Enteric Infections is a Survival Advantage in Pre-Industrial Populations. J Alzheimers Dis 2023:JAD221218. [PMID: 37125551 DOI: 10.3233/jad-221218] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/02/2023]
Abstract
Until 300,000 years ago, ancestors of modern humans ubiquitously carried the apolipoprotein E (APOE) ɛ4/ɛ4 genotype, when the ɛ3 allele mutated from the ancestral ɛ4, which elevates the risk of Alzheimer's disease. Modern humans living today predominantly carry the ɛ3 allele, which provides protection against heart disease and dementia in long-lived populations. The ancestral ɛ4 allele has been highly preserved in isolated populations in tropical and Arctic regions with high pathogen burdens, e.g., helminths. Early humans experienced serious enteric infections that exerted evolutionary selection pressure, and factors that mitigate infant and childhood mortality from enteric infections also exert selection pressure. Some bacteria can exploit the host's defensive inflammatory response to colonize and invade the host. Pathogen-induced inflammation associated with infant and childhood diarrhea can damage the gut wall long after the invading organisms are no longer present. Inflammation not only resides in the mucosal wall, but also induces systemic inflammation. Baseline systemic inflammation is lower in ɛ4 carriers, yet ɛ4 carriers display a stronger host inflammatory response that reduces pathogen burdens, increasing infant and early childhood survival. Evolutionary selection of the ɛ3 allele likely occurred after humans moved into temperate zones with lower pathogen burdens, unrelated to protection from Alzheimer's disease.
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Affiliation(s)
| | - J Wesson Ashford
- Stanford University and VA Palo Alto Health Care System, Palo Alto, CA, USA
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Grine FE, Mongle CS, Fleagle JG, Hammond AS. The taxonomic attribution of African hominin postcrania from the Miocene through the Pleistocene: Associations and assumptions. J Hum Evol 2022; 173:103255. [PMID: 36375243 DOI: 10.1016/j.jhevol.2022.103255] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 08/21/2022] [Accepted: 08/22/2022] [Indexed: 11/06/2022]
Abstract
Postcranial bones may provide valuable information about fossil taxa relating to their locomotor habits, manipulative abilities and body sizes. Distinctive features of the postcranial skeleton are sometimes noted in species diagnoses. Although numerous isolated postcranial fossils have become accepted by many workers as belonging to a particular species, it is worthwhile revisiting the evidence for each attribution before including them in comparative samples in relation to the descriptions of new fossils, functional analyses in relation to particular taxa, or in evolutionary contexts. Although some workers eschew the taxonomic attribution of postcranial fossils as being less important (or interesting) than interpreting their functional morphology, it is impossible to consider the evolution of functional anatomy in a taxonomic and phylogenetic vacuum. There are 21 widely recognized hominin taxa that have been described from sites in Africa dated from the Late Miocene to the Middle Pleistocene; postcranial elements have been attributed to 17 of these. The bones that have been thus assigned range from many parts of a skeleton to isolated elements. However, the extent to which postcranial material can be reliably attributed to a specific taxon varies considerably from site to site and species to species, and is often the subject of considerable debate. Here, we review the postcranial remains attributed to African hominin taxa from the Late Miocene to the Middle and Late Pleistocene and place these assignations into categories of reliability. The catalog of attributions presented here may serve as a guide for making taxonomic decisions in the future.
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Affiliation(s)
- Frederick E Grine
- Department of Anthropology, Stony Brook University, Stony Brook, NY 11794-4364, USA; Department of Anatomical Sciences, Stony Brook University, Stony Brook, NY 11794-4364, USA.
| | - Carrie S Mongle
- Department of Anthropology, Stony Brook University, Stony Brook, NY 11794-4364, USA; Division of Anthropology, American Museum of Natural History, Central Park West at 79th Street, New York, NY 10024-5192, USA; Turkana Basin Institute, Stony Brook University, Stony Brook, NY 11794-4364, USA
| | - John G Fleagle
- Department of Anatomical Sciences, Stony Brook University, Stony Brook, NY 11794-4364, USA
| | - Ashley S Hammond
- Division of Anthropology, American Museum of Natural History, Central Park West at 79th Street, New York, NY 10024-5192, USA; New York Consortium of Evolutionary Primatology (NYCEP), New York, NY 10024, USA
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7
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African genetic diversity and adaptation inform a precision medicine agenda. Nat Rev Genet 2021; 22:284-306. [PMID: 33432191 DOI: 10.1038/s41576-020-00306-8] [Citation(s) in RCA: 90] [Impact Index Per Article: 22.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/02/2020] [Indexed: 01/29/2023]
Abstract
The deep evolutionary history of African populations, since the emergence of modern humans more than 300,000 years ago, has resulted in high genetic diversity and considerable population structure. Selected genetic variants have increased in frequency due to environmental adaptation, but recent exposures to novel pathogens and changes in lifestyle render some of them with properties leading to present health liabilities. The unique discoverability potential from African genomic studies promises invaluable contributions to understanding the genomic and molecular basis of health and disease. Globally, African populations are understudied, and precision medicine approaches are largely based on data from European and Asian-ancestry populations, which limits the transferability of findings to the continent of Africa. Africa needs innovative precision medicine solutions based on African data that use knowledge and implementation strategies aligned to its climatic, cultural, economic and genomic diversity.
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8
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Hollfelder N, Breton G, Sjödin P, Jakobsson M. The deep population history in Africa. Hum Mol Genet 2021; 30:R2-R10. [PMID: 33438014 PMCID: PMC8117439 DOI: 10.1093/hmg/ddab005] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Revised: 12/22/2020] [Accepted: 01/05/2021] [Indexed: 12/28/2022] Open
Abstract
Africa is the continent with the greatest genetic diversity among humans and the level of diversity is further enhanced by incorporating non-majority groups, which are often understudied. Many of today's minority populations historically practiced foraging lifestyles, which were the only subsistence strategies prior to the rise of agriculture and pastoralism, but only a few groups practicing these strategies remain today. Genomic investigations of Holocene human remains excavated across the African continent show that the genetic landscape was vastly different compared to today's genetic landscape and that many groups that today are population isolate inhabited larger regions in the past. It is becoming clear that there are periods of isolation among groups and geographic areas, but also genetic contact over large distances throughout human history in Africa. Genomic information from minority populations and from prehistoric remains provide an invaluable source of information on the human past, in particular deep human population history, as Holocene large-scale population movements obscure past patterns of population structure. Here we revisit questions on the nature and time of the radiation of early humans in Africa, the extent of gene-flow among human populations as well as introgression from archaic and extinct lineages on the continent.
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Affiliation(s)
- Nina Hollfelder
- Human Evolution, Department of Organismal Biology, Uppsala University, Norbyvägen 18C, 75236 Uppsala, Sweden
| | - Gwenna Breton
- Human Evolution, Department of Organismal Biology, Uppsala University, Norbyvägen 18C, 75236 Uppsala, Sweden
| | - Per Sjödin
- Human Evolution, Department of Organismal Biology, Uppsala University, Norbyvägen 18C, 75236 Uppsala, Sweden
| | - Mattias Jakobsson
- Human Evolution, Department of Organismal Biology, Uppsala University, Norbyvägen 18C, 75236 Uppsala, Sweden
- Palaeo-Research Institute, University of Johannesburg, Physical, Cnr Kingsway & University Roads, Auckland Park, Johannesburg 2092, South Africa
- SciLifeLab, Stockholm and Uppsala, Entrance C11, BMC, Husargatan 3, 752 37 Uppsala, Sweden
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9
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Schlebusch CM, Sjödin P, Breton G, Günther T, Naidoo T, Hollfelder N, Sjöstrand AE, Xu J, Gattepaille LM, Vicente M, Scofield DG, Malmström H, de Jongh M, Lombard M, Soodyall H, Jakobsson M. Khoe-San Genomes Reveal Unique Variation and Confirm the Deepest Population Divergence in Homo sapiens. Mol Biol Evol 2021; 37:2944-2954. [PMID: 32697301 PMCID: PMC7530619 DOI: 10.1093/molbev/msaa140] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
The southern African indigenous Khoe-San populations harbor the most divergent lineages of all living peoples. Exploring their genomes is key to understanding deep human history. We sequenced 25 full genomes from five Khoe-San populations, revealing many novel variants, that 25% of variants are unique to the Khoe-San, and that the Khoe-San group harbors the greatest level of diversity across the globe. In line with previous studies, we found several gene regions with extreme values in genome-wide scans for selection, potentially caused by natural selection in the lineage leading to Homo sapiens and more recent in time. These gene regions included immunity-, sperm-, brain-, diet-, and muscle-related genes. When accounting for recent admixture, all Khoe-San groups display genetic diversity approaching the levels in other African groups and a reduction in effective population size starting around 100,000 years ago. Hence, all human groups show a reduction in effective population size commencing around the time of the Out-of-Africa migrations, which coincides with changes in the paleoclimate records, changes that potentially impacted all humans at the time.
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Affiliation(s)
- Carina M Schlebusch
- Human Evolution, Department of Organismal Biology, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden.,Palaeo-Research Institute, University of Johannesburg, Auckland Park, South Africa.,SciLifeLab, Stockholm and Uppsala, Sweden
| | - Per Sjödin
- Human Evolution, Department of Organismal Biology, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden
| | - Gwenna Breton
- Human Evolution, Department of Organismal Biology, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden
| | - Torsten Günther
- Human Evolution, Department of Organismal Biology, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden
| | - Thijessen Naidoo
- Human Evolution, Department of Organismal Biology, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden.,Palaeo-Research Institute, University of Johannesburg, Auckland Park, South Africa.,SciLifeLab, Stockholm and Uppsala, Sweden
| | - Nina Hollfelder
- Human Evolution, Department of Organismal Biology, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden
| | - Agnes E Sjöstrand
- Human Evolution, Department of Organismal Biology, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden
| | - Jingzi Xu
- Human Evolution, Department of Organismal Biology, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden
| | - Lucie M Gattepaille
- Human Evolution, Department of Organismal Biology, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden
| | - Mário Vicente
- Human Evolution, Department of Organismal Biology, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden
| | - Douglas G Scofield
- Department of Ecology and Genetics, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden.,Uppsala Multidisciplinary Center for Advanced Computational Science, Uppsala University, Uppsala, Sweden
| | - Helena Malmström
- Human Evolution, Department of Organismal Biology, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden.,Palaeo-Research Institute, University of Johannesburg, Auckland Park, South Africa
| | - Michael de Jongh
- Department of Anthropology and Archaeology, University of South Africa, Pretoria, South Africa
| | - Marlize Lombard
- Palaeo-Research Institute, University of Johannesburg, Auckland Park, South Africa
| | - Himla Soodyall
- Division of Human Genetics, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand and National Health Laboratory Service, Johannesburg, South Africa.,Academy of Science of South Africa
| | - Mattias Jakobsson
- Human Evolution, Department of Organismal Biology, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden.,Palaeo-Research Institute, University of Johannesburg, Auckland Park, South Africa.,SciLifeLab, Stockholm and Uppsala, Sweden
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10
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Hamdi Y, Zass L, Othman H, Radouani F, Allali I, Hanachi M, Okeke CJ, Chaouch M, Tendwa MB, Samtal C, Mohamed Sallam R, Alsayed N, Turkson M, Ahmed S, Benkahla A, Romdhane L, Souiai O, Tastan Bishop Ö, Ghedira K, Mohamed Fadlelmola F, Mulder N, Kamal Kassim S. Human OMICs and Computational Biology Research in Africa: Current Challenges and Prospects. OMICS : A JOURNAL OF INTEGRATIVE BIOLOGY 2021; 25:213-233. [PMID: 33794662 PMCID: PMC8060717 DOI: 10.1089/omi.2021.0004] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Following the publication of the first human genome, OMICs research, including genomics, transcriptomics, proteomics, and metagenomics, has been on the rise. OMICs studies revealed the complex genetic diversity among human populations and challenged our understandings of genotype-phenotype correlations. Africa, being the cradle of the first modern humans, is distinguished by a large genetic diversity within its populations and rich ethnolinguistic history. However, the available human OMICs tools and databases are not representative of this diversity, therefore creating significant gaps in biomedical research. African scientists, students, and publics are among the key contributors to OMICs systems science. This expert review examines the pressing issues in human OMICs research, education, and development in Africa, as seen through a lens of computational biology, public health relevant technology innovation, critically-informed science governance, and how best to harness OMICs data to benefit health and societies in Africa and beyond. We underscore the disparities between North and Sub-Saharan Africa at different levels. A harmonized African ethnolinguistic classification would help address annotation challenges associated with population diversity. Finally, building on the existing strategic research initiatives, such as the H3Africa and H3ABioNet Consortia, we highly recommend addressing large-scale multidisciplinary research challenges, strengthening research collaborations and knowledge transfer, and enhancing the ability of African researchers to influence and shape national and international research, policy, and funding agendas. This article and analysis contribute to a deeper understanding of past and current challenges in the African OMICs innovation ecosystem, while also offering foresight on future innovation trajectories.
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Affiliation(s)
- Yosr Hamdi
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, Université Tunis El Manar, Tunis, Tunisia
- Laboratory of Human and Experimental Pathology, Institut Pasteur de Tunis, Tunis, Tunisia
| | - Lyndon Zass
- Computational Biology Division, Department of Integrative Biomedical Sciences, Institute of Infectious Disease and Molecular Medicine, CIDRI Africa Wellcome Trust Centre, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Houcemeddine Othman
- Sydney Brenner Institute for Molecular Bioscience, University of the Witwatersrand, Johannesburg, South Africa
| | - Fouzia Radouani
- Chlamydiae and Mycoplasmas Laboratory, Institut Pasteur du Maroc, Casablanca, Morocco
| | - Imane Allali
- Computational Biology Division, Department of Integrative Biomedical Sciences, Institute of Infectious Disease and Molecular Medicine, CIDRI Africa Wellcome Trust Centre, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
- Laboratory of Human Pathologies Biology, Department of Biology, Faculty of Sciences, and Genomic Center of Human Pathologies, Faculty of Medicine and Pharmacy, Mohammed V University in Rabat, Rabat, Morocco
| | - Mariem Hanachi
- Laboratory of Bioinformatics, Biomathematics and Biostatistics, Institut Pasteur de Tunis, Université Tunis El Manar, Tunis, Tunisia
- Faculty of Science of Bizerte, Zarzouna, University of Carthage, Tunis, Tunisia
| | - Chiamaka Jessica Okeke
- Research Unit in Bioinformatics (RUBi), Department of Biochemistry and Microbiology, Rhodes University, Makhanda, South Africa
| | - Melek Chaouch
- Laboratory of Bioinformatics, Biomathematics and Biostatistics, Institut Pasteur de Tunis, Université Tunis El Manar, Tunis, Tunisia
| | - Maureen Bilinga Tendwa
- Research Unit in Bioinformatics (RUBi), Department of Biochemistry and Microbiology, Rhodes University, Makhanda, South Africa
| | - Chaimae Samtal
- Laboratory of Biotechnology, Environment, Agri-food and Health, Faculty of Sciences Dhar El Mahraz–Sidi Mohammed Ben Abdellah University, Fez, Morocco
- University of Mohamed Premier, Oujda, Morocco
| | - Reem Mohamed Sallam
- Department of Medical Biochemistry and Molecular Biology, Faculty of Medicine, Ain Shams University, Cairo, Egypt
- Department of Basic Medical Sciences, Faculty of Medicine, Galala University, Suez, Egypt
| | - Nihad Alsayed
- Centre for Bioinformatics and Systems Biology, Faculty of Science, University of Khartoum, Khartoum, Sudan
| | - Michael Turkson
- The National Institute for Mathematical Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Samah Ahmed
- Centre for Bioinformatics and Systems Biology, Faculty of Science, University of Khartoum, Khartoum, Sudan
| | - Alia Benkahla
- Laboratory of Bioinformatics, Biomathematics and Biostatistics, Institut Pasteur de Tunis, Université Tunis El Manar, Tunis, Tunisia
| | - Lilia Romdhane
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, Université Tunis El Manar, Tunis, Tunisia
- Faculty of Science of Bizerte, Zarzouna, University of Carthage, Tunis, Tunisia
| | - Oussema Souiai
- Laboratory of Bioinformatics, Biomathematics and Biostatistics, Institut Pasteur de Tunis, Université Tunis El Manar, Tunis, Tunisia
| | - Özlem Tastan Bishop
- Research Unit in Bioinformatics (RUBi), Department of Biochemistry and Microbiology, Rhodes University, Makhanda, South Africa
| | - Kais Ghedira
- Laboratory of Bioinformatics, Biomathematics and Biostatistics, Institut Pasteur de Tunis, Université Tunis El Manar, Tunis, Tunisia
| | - Faisal Mohamed Fadlelmola
- Centre for Bioinformatics and Systems Biology, Faculty of Science, University of Khartoum, Khartoum, Sudan
| | - Nicola Mulder
- Computational Biology Division, Department of Integrative Biomedical Sciences, Institute of Infectious Disease and Molecular Medicine, CIDRI Africa Wellcome Trust Centre, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Samar Kamal Kassim
- Department of Medical Biochemistry and Molecular Biology, Faculty of Medicine, Ain Shams University, Cairo, Egypt
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11
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Coutinho A, Malmström H, Edlund H, Henshilwood CS, van Niekerk KL, Lombard M, Schlebusch CM, Jakobsson M. Later Stone Age human hair from Vaalkrans Shelter, Cape Floristic Region of South Africa, reveals genetic affinity to Khoe groups. AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY 2021; 174:701-713. [PMID: 33539553 DOI: 10.1002/ajpa.24236] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/22/2020] [Revised: 12/09/2020] [Accepted: 12/20/2020] [Indexed: 11/09/2022]
Abstract
Previous studies show that the indigenous people of the southern Cape of South Africa were dramatically impacted by the arrival of European colonists starting ~400 years ago and their descendants are today mixed with Europeans and Asians. To gain insight on the occupants of the Vaalkrans Shelter located at the southernmost tip of Africa, we investigated the genetic make-up of an individual who lived there about 200 years ago. We further contextualize the genetic ancestry of this individual among prehistoric and current groups. From a hair sample excavated at the shelter, which was indirectly dated to about 200 years old, we sequenced the genome (1.01 times coverage) of a Later Stone Age individual. We analyzed the Vaalkrans genome together with genetic data from 10 ancient (pre-colonial) individuals from southern Africa spanning the last 2000 years. We show that the individual from Vaalkrans was a man who traced ~80% of his ancestry to local southern San hunter-gatherers and ~20% to a mixed East African-Eurasian source. This genetic make-up is similar to modern-day Khoekhoe individuals from the Northern Cape Province (South Africa) and Namibia, but in the southern Cape, the Vaalkrans man's descendants have likely been assimilated into mixed-ancestry "Coloured" groups. The Vaalkrans man's genome reveals that Khoekhoe pastoralist groups/individuals lived in the southern Cape as late as 200 years ago, without mixing with non-African colonists or Bantu-speaking farmers. Our findings are also consistent with the model of a Holocene pastoralist migration, originating in Eastern Africa, shaping the genomic landscape of historic and current southern African populations.
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Affiliation(s)
- Alexandra Coutinho
- Human Evolution, Department of Organismal Biology, Uppsala University, Uppsala, Sweden
| | - Helena Malmström
- Human Evolution, Department of Organismal Biology, Uppsala University, Uppsala, Sweden.,Palaeo-Research Institute, University of Johannesburg, Johannesburg, South Africa
| | - Hanna Edlund
- Human Evolution, Department of Organismal Biology, Uppsala University, Uppsala, Sweden
| | - Christopher S Henshilwood
- SFF Centre for Early Sapiens Behaviour (SapienCE), University of Bergen, Bergen, Norway.,Evolutionary Studies Institute, University of the Witwatersrand, Johannesburg, South Africa
| | - Karen L van Niekerk
- SFF Centre for Early Sapiens Behaviour (SapienCE), University of Bergen, Bergen, Norway
| | - Marlize Lombard
- Palaeo-Research Institute, University of Johannesburg, Johannesburg, South Africa
| | - Carina M Schlebusch
- Human Evolution, Department of Organismal Biology, Uppsala University, Uppsala, Sweden.,Palaeo-Research Institute, University of Johannesburg, Johannesburg, South Africa.,Science for Life Laboratory, Uppsala, Sweden
| | - Mattias Jakobsson
- Human Evolution, Department of Organismal Biology, Uppsala University, Uppsala, Sweden.,Palaeo-Research Institute, University of Johannesburg, Johannesburg, South Africa.,Science for Life Laboratory, Uppsala, Sweden
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12
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Bergström A, Stringer C, Hajdinjak M, Scerri EML, Skoglund P. Origins of modern human ancestry. Nature 2021; 590:229-237. [PMID: 33568824 DOI: 10.1038/s41586-021-03244-5] [Citation(s) in RCA: 104] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Accepted: 12/14/2020] [Indexed: 01/30/2023]
Abstract
New finds in the palaeoanthropological and genomic records have changed our view of the origins of modern human ancestry. Here we review our current understanding of how the ancestry of modern humans around the globe can be traced into the deep past, and which ancestors it passes through during our journey back in time. We identify three key phases that are surrounded by major questions, and which will be at the frontiers of future research. The most recent phase comprises the worldwide expansion of modern humans between 40 and 60 thousand years ago (ka) and their last known contacts with archaic groups such as Neanderthals and Denisovans. The second phase is associated with a broadly construed African origin of modern human diversity between 60 and 300 ka. The oldest phase comprises the complex separation of modern human ancestors from archaic human groups from 0.3 to 1 million years ago. We argue that no specific point in time can currently be identified at which modern human ancestry was confined to a limited birthplace, and that patterns of the first appearance of anatomical or behavioural traits that are used to define Homo sapiens are consistent with a range of evolutionary histories.
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Affiliation(s)
- Anders Bergström
- Ancient Genomics Laboratory, Francis Crick Institute, London, UK
| | - Chris Stringer
- Department of Earth Sciences, Natural History Museum, London, UK.
| | - Mateja Hajdinjak
- Ancient Genomics Laboratory, Francis Crick Institute, London, UK
| | - Eleanor M L Scerri
- Pan-African Evolution Research Group, Max Planck Institute for Science of Human History, Jena, Germany.,Department of Classics and Archaeology, University of Malta, Msida, Malta.,Institute of Prehistoric Archaeology, University of Cologne, Cologne, Germany
| | - Pontus Skoglund
- Ancient Genomics Laboratory, Francis Crick Institute, London, UK.
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13
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Vizzari MT, Benazzo A, Barbujani G, Ghirotto S. A Revised Model of Anatomically Modern Human Expansions Out of Africa through a Machine Learning Approximate Bayesian Computation Approach. Genes (Basel) 2020; 11:E1510. [PMID: 33339234 PMCID: PMC7766041 DOI: 10.3390/genes11121510] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Revised: 12/11/2020] [Accepted: 12/14/2020] [Indexed: 01/25/2023] Open
Abstract
There is a wide consensus in considering Africa as the birthplace of anatomically modern humans (AMH), but the dispersal pattern and the main routes followed by our ancestors to colonize the world are still matters of debate. It is still an open question whether AMH left Africa through a single process, dispersing almost simultaneously over Asia and Europe, or in two main waves, first through the Arab Peninsula into southern Asia and Australo-Melanesia, and later through a northern route crossing the Levant. The development of new methodologies for inferring population history and the availability of worldwide high-coverage whole-genome sequences did not resolve this debate. In this work, we test the two main out-of-Africa hypotheses through an Approximate Bayesian Computation approach, based on the Random-Forest algorithm. We evaluated the ability of the method to discriminate between the alternative models of AMH out-of-Africa, using simulated data. Once assessed that the models are distinguishable, we compared simulated data with real genomic variation, from modern and archaic populations. This analysis showed that a model of multiple dispersals is four-fold as likely as the alternative single-dispersal model. According to our estimates, the two dispersal processes may be placed, respectively, around 74,000 and around 46,000 years ago.
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Affiliation(s)
| | | | | | - Silvia Ghirotto
- Department of Life Sciences and Biotechnology, University of Ferrara, 44121 Ferrara, Italy; (M.T.V.); (A.B.); (G.B.)
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14
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Goncearenco A, LaBarre BA, Petrykowska HM, Jaratlerdsiri W, Bornman MSR, Turner SD, Hayes VM, Elnitski L. DNA methylation profiles unique to Kalahari KhoeSan individuals. Epigenetics 2020; 16:537-553. [PMID: 32892676 PMCID: PMC8078743 DOI: 10.1080/15592294.2020.1809852] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
Genomes of KhoeSan individuals of the Kalahari Desert provide the greatest understanding of single nucleotide diversity in the human genome. Compared with individuals in industrialized environments, the KhoeSan have a unique foraging and hunting lifestyle. Given these dramatic environmental differences, and the responsiveness of the methylome to environmental exposures of many types, we hypothesized that DNA methylation patterns would differ between KhoeSan and neighbouring agropastoral and/or industrial Bantu. We analysed Illumina HumanMethylation 450 k array data generated from blood samples from 38 KhoeSan and 42 Bantu, and 6 Europeans. After removing CpG positions associated with annotated and novel polymorphisms and controlling for white blood cell composition, sex, age and technical variation we identified 816 differentially methylated CpG loci, out of which 133 had an absolute beta-value difference of at least 0.05. Notably SLC39A4/ZIP4, which plays a role in zinc transport, was one of the most differentially methylated loci. Although the chronological ages of the KhoeSan are not formally recorded, we compared historically estimated ages to methylation-based calculations. This study demonstrates that the epigenetic profile of KhoeSan individuals reveals differences from other populations, and along with extensive genetic diversity, this community brings increased accessibility and understanding to the diversity of the human genome.
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Affiliation(s)
- Alexander Goncearenco
- Genomic Functional Analysis Section, Translational and Functional Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Brenna A LaBarre
- Genomic Functional Analysis Section, Translational and Functional Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.,Graduate Program in Bioinformatics, Boston University, Boston, MA, USA
| | | | - Weerachai Jaratlerdsiri
- Laboratory for Human Comparative & Prostate Cancer Genomics, Garvan Institute of Medical Research, Darlinghurst, Australia
| | - M S Riana Bornman
- School of Health Systems and Public Health, University of Pretoria, Pretoria, South Africa
| | - Stephen D Turner
- Division of Biomedical Informatics, University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Vanessa M Hayes
- Laboratory for Human Comparative & Prostate Cancer Genomics, Garvan Institute of Medical Research, Darlinghurst, Australia.,School of Health Systems and Public Health, University of Pretoria, Pretoria, South Africa.,Faculty of Health Sciences, University of Limpopo, Sovenga, South Africa.,Sydney Medical School, University of Sydney, Camperdown, Australia
| | - Laura Elnitski
- Genomic Functional Analysis Section, Translational and Functional Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
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15
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Vicente M, Schlebusch CM. African population history: an ancient DNA perspective. Curr Opin Genet Dev 2020; 62:8-15. [DOI: 10.1016/j.gde.2020.05.008] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2020] [Revised: 05/04/2020] [Accepted: 05/06/2020] [Indexed: 11/30/2022]
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16
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Genomic Evidence for Local Adaptation of Hunter-Gatherers to the African Rainforest. Curr Biol 2019; 29:2926-2935.e4. [DOI: 10.1016/j.cub.2019.07.013] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Revised: 06/26/2019] [Accepted: 07/04/2019] [Indexed: 12/18/2022]
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17
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Haber M, Jones AL, Connell BA, Asan, Arciero E, Yang H, Thomas MG, Xue Y, Tyler-Smith C. A Rare Deep-Rooting D0 African Y-Chromosomal Haplogroup and Its Implications for the Expansion of Modern Humans Out of Africa. Genetics 2019; 212:1421-1428. [PMID: 31196864 PMCID: PMC6707464 DOI: 10.1534/genetics.119.302368] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2019] [Accepted: 06/10/2019] [Indexed: 12/31/2022] Open
Abstract
Present-day humans outside Africa descend mainly from a single expansion out ∼50,000-70,000 years ago, but many details of this expansion remain unclear, including the history of the male-specific Y chromosome at this time. Here, we reinvestigate a rare deep-rooting African Y-chromosomal lineage by sequencing the whole genomes of three Nigerian men described in 2003 as carrying haplogroup DE* Y chromosomes, and analyzing them in the context of a calibrated worldwide Y-chromosomal phylogeny. We confirm that these three chromosomes do represent a deep-rooting DE lineage, branching close to the DE bifurcation, but place them on the D branch as an outgroup to all other known D chromosomes, and designate the new lineage D0. We consider three models for the expansion of Y lineages out of Africa ∼50,000-100,000 years ago, incorporating migration back to Africa where necessary to explain present-day Y-lineage distributions. Considering both the Y-chromosomal phylogenetic structure incorporating the D0 lineage, and published evidence for modern humans outside Africa, the most favored model involves an origin of the DE lineage within Africa with D0 and E remaining there, and migration out of the three lineages (C, D, and FT) that now form the vast majority of non-African Y chromosomes. The exit took place 50,300-81,000 years ago (latest date for FT lineage expansion outside Africa - earliest date for the D/D0 lineage split inside Africa), and most likely 50,300-59,400 years ago (considering Neanderthal admixture). This work resolves a long-running debate about Y-chromosomal out-of-Africa/back-to-Africa migrations, and provides insights into the out-of-Africa expansion more generally.
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Affiliation(s)
- Marc Haber
- The Wellcome Sanger Institute, Hinxton, Cambridgeshire CB10 1SA, UK
| | | | - Bruce A Connell
- Glendon College, York University, Toronto, Ontario M4N 3N6, Canada
| | - Asan
- BGI-Shenzhen, Shenzhen 518083, China
| | - Elena Arciero
- The Wellcome Sanger Institute, Hinxton, Cambridgeshire CB10 1SA, UK
| | - Huanming Yang
- BGI-Shenzhen, Shenzhen 518083, China
- James D. Watson Institute of Genome Science, 310008 Hangzhou, China
| | - Mark G Thomas
- Research Department of Genetics, Evolution and Environment, University College London, WC1E 6BT, UK, and University College London (UCL) Genetics Institute, University College London, WC1E 6BT, UK
| | - Yali Xue
- The Wellcome Sanger Institute, Hinxton, Cambridgeshire CB10 1SA, UK
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18
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Lorente-Galdos B, Lao O, Serra-Vidal G, Santpere G, Kuderna LFK, Arauna LR, Fadhlaoui-Zid K, Pimenoff VN, Soodyall H, Zalloua P, Marques-Bonet T, Comas D. Whole-genome sequence analysis of a Pan African set of samples reveals archaic gene flow from an extinct basal population of modern humans into sub-Saharan populations. Genome Biol 2019; 20:77. [PMID: 31023378 PMCID: PMC6485163 DOI: 10.1186/s13059-019-1684-5] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2018] [Accepted: 03/28/2019] [Indexed: 12/30/2022] Open
Abstract
Background Population demography and gene flow among African groups, as well as the putative archaic introgression of ancient hominins, have been poorly explored at the genome level. Results Here, we examine 15 African populations covering all major continental linguistic groups, ecosystems, and lifestyles within Africa through analysis of whole-genome sequence data of 21 individuals sequenced at deep coverage. We observe a remarkable correlation among genetic diversity and geographic distance, with the hunter-gatherer groups being more genetically differentiated and having larger effective population sizes throughout most modern-human history. Admixture signals are found between neighbor populations from both hunter-gatherer and agriculturalists groups, whereas North African individuals are closely related to Eurasian populations. Regarding archaic gene flow, we test six complex demographic models that consider recent admixture as well as archaic introgression. We identify the fingerprint of an archaic introgression event in the sub-Saharan populations included in the models (~ 4.0% in Khoisan, ~ 4.3% in Mbuti Pygmies, and ~ 5.8% in Mandenka) from an early divergent and currently extinct ghost modern human lineage. Conclusion The present study represents an in-depth genomic analysis of a Pan African set of individuals, which emphasizes their complex relationships and demographic history at population level. Electronic supplementary material The online version of this article (10.1186/s13059-019-1684-5) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Belen Lorente-Galdos
- Departament de Ciències Experimentals i de la Salut, Institut de Biologia Evolutiva (UPF/CSIC), Universitat Pompeu Fabra, 08003, Barcelona, Spain.,Department of Neuroscience, Yale School of Medicine, New Haven, CT, USA
| | - Oscar Lao
- CNAG-CRG, Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Baldiri Reixac 4, 08028, Barcelona, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Gerard Serra-Vidal
- Departament de Ciències Experimentals i de la Salut, Institut de Biologia Evolutiva (UPF/CSIC), Universitat Pompeu Fabra, 08003, Barcelona, Spain
| | - Gabriel Santpere
- Departament de Ciències Experimentals i de la Salut, Institut de Biologia Evolutiva (UPF/CSIC), Universitat Pompeu Fabra, 08003, Barcelona, Spain.,Department of Neuroscience, Yale School of Medicine, New Haven, CT, USA
| | - Lukas F K Kuderna
- Departament de Ciències Experimentals i de la Salut, Institut de Biologia Evolutiva (UPF/CSIC), Universitat Pompeu Fabra, 08003, Barcelona, Spain
| | - Lara R Arauna
- Departament de Ciències Experimentals i de la Salut, Institut de Biologia Evolutiva (UPF/CSIC), Universitat Pompeu Fabra, 08003, Barcelona, Spain
| | - Karima Fadhlaoui-Zid
- College of Science, Department of Biology, Taibah University, Al Madinah, Al Monawarah, Saudi Arabia.,Higher Institute of Biotechnology of Beja, University of Jendouba, Avenue Habib Bourguiba, BP, 382, 9000, Beja, Tunisia
| | - Ville N Pimenoff
- Oncology Data Analytics Program, Bellvitge Biomedical Research Institute (ICO-IDIBELL), Consortium for Biomedical Research in Epidemiology and Public Health, Hospitalet de Llobregat, Barcelona, Spain.,Department of Archaeology, University of Helsinki, Helsinki, Finland
| | - Himla Soodyall
- Division of Human Genetics, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand and National Health Laboratory Service, Johannesburg, South Africa
| | - Pierre Zalloua
- School of Medicine, The Lebanese American University, Beirut, 1102-2801, Lebanon
| | - Tomas Marques-Bonet
- Departament de Ciències Experimentals i de la Salut, Institut de Biologia Evolutiva (UPF/CSIC), Universitat Pompeu Fabra, 08003, Barcelona, Spain.,CNAG-CRG, Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Baldiri Reixac 4, 08028, Barcelona, Spain.,Institució Catalana de Recerca i Estudis Avançats, ICREA, 08003, Barcelona, Spain
| | - David Comas
- Departament de Ciències Experimentals i de la Salut, Institut de Biologia Evolutiva (UPF/CSIC), Universitat Pompeu Fabra, 08003, Barcelona, Spain.
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19
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Fan S, Kelly DE, Beltrame MH, Hansen MEB, Mallick S, Ranciaro A, Hirbo J, Thompson S, Beggs W, Nyambo T, Omar SA, Meskel DW, Belay G, Froment A, Patterson N, Reich D, Tishkoff SA. African evolutionary history inferred from whole genome sequence data of 44 indigenous African populations. Genome Biol 2019; 20:82. [PMID: 31023338 PMCID: PMC6485071 DOI: 10.1186/s13059-019-1679-2] [Citation(s) in RCA: 72] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2018] [Accepted: 03/22/2019] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Africa is the origin of modern humans within the past 300 thousand years. To infer the complex demographic history of African populations and adaptation to diverse environments, we sequenced the genomes of 92 individuals from 44 indigenous African populations. RESULTS Genetic structure analyses indicate that among Africans, genetic ancestry is largely partitioned by geography and language, though we observe mixed ancestry in many individuals, consistent with both short- and long-range migration events followed by admixture. Phylogenetic analysis indicates that the San genetic lineage is basal to all modern human lineages. The San and Niger-Congo, Afroasiatic, and Nilo-Saharan lineages were substantially diverged by 160 kya (thousand years ago). In contrast, the San and Central African rainforest hunter-gatherer (CRHG), Hadza hunter-gatherer, and Sandawe hunter-gatherer lineages were diverged by ~ 120-100 kya. Niger-Congo, Nilo-Saharan, and Afroasiatic lineages diverged more recently by ~ 54-16 kya. Eastern and western CRHG lineages diverged by ~ 50-31 kya, and the western CRHG lineages diverged by ~ 18-12 kya. The San and CRHG populations maintained the largest effective population size compared to other populations prior to 60 kya. Further, we observed signatures of positive selection at genes involved in muscle development, bone synthesis, reproduction, immune function, energy metabolism, and cell signaling, which may contribute to local adaptation of African populations. CONCLUSIONS We observe high levels of genomic variation between ethnically diverse Africans which is largely correlated with geography and language. Our study indicates ancient population substructure and local adaptation of Africans.
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Affiliation(s)
- Shaohua Fan
- Department of Genetics, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Present Address: State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences, Fudan University, 2005 Songhu Road, Shanghai, China
| | - Derek E Kelly
- Department of Genetics, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Marcia H Beltrame
- Department of Genetics, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Matthew E B Hansen
- Department of Genetics, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Swapan Mallick
- Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, 02142, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, 02115, USA
| | - Alessia Ranciaro
- Department of Genetics, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Jibril Hirbo
- Department of Genetics, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Present Address: Division of Genetic Medicine, Vanderbilt University Medical Center, Vanderbilt University, Nashville, TN, 37232, USA
| | - Simon Thompson
- Department of Genetics, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - William Beggs
- Department of Genetics, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Thomas Nyambo
- Department of Biochemistry, Muhimbili University of Health and Allied Sciences, Dares Salaam, Tanzania
| | - Sabah A Omar
- Center for Biotechnology Research and Development, Kenya Medical Research Institute, Nairobi, Kenya
| | | | - Gurja Belay
- Department of Biology, Addis Ababa University, Addis Ababa, Ethiopia
| | | | - Nick Patterson
- Broad Institute of Harvard and MIT, Cambridge, MA, 02142, USA
| | - David Reich
- Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, 02142, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, 02115, USA
| | - Sarah A Tishkoff
- Department of Genetics, University of Pennsylvania, Philadelphia, PA, 19104, USA.
- Department of Biology, University of Pennsylvania, Philadelphia, PA, 19104, USA.
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20
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Enamel pearls: Their occurrence in recent human populations and earliest manifestation in the modern human lineage. Arch Oral Biol 2019; 101:147-155. [PMID: 30939297 DOI: 10.1016/j.archoralbio.2019.03.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2019] [Revised: 02/22/2019] [Accepted: 03/04/2019] [Indexed: 12/28/2022]
Abstract
OBJECTIVE To document and describe the occurrence of an enamel pearl on the distal root surface of the maxillary M3 of the fossil hominin specimen from Florisbad, South Africa that is dated to ca. 259,000 years B.P., and is an early representative of Homo sapiens or as a member of the evolutionary line that was directly ancestral to modern humans. DESIGN The molar was examined macroscopically and by micro-computed tomography (μCT) to enable accurate measurement and visualization of the structure of the enamel pearl. RESULTS The single pearl has a diameter of 0.97 mm; it is a Type 2 "composite" pearl comprising an enamel cap and dentine core without pulp chamber involvement. The size of the Florisbad pearl falls within or just below the size ranges of this anomaly in modern human samples. Type 2 pearls are most commonly encountered in recent human populations, and the location of the pearl on the distal root surface of the Florisbad M3 is consistent with its most frequent location in recent humans. Pearls in recent human populations affect between 0.2-4.8% of individuals, and 1.7-6.8% of permanent molars. Pearls have been documented in several prehistoric human dentitions, and all examples are less than 4000 years old. CONCLUSIONS Enamel pearls have been associated with periodontal disease, but it is not possible to relate its presence to the advanced periodontal inflammation and alveolar bone loss in the Florisbad fossil. Florisbad presents the earliest evidence of this anomaly in the fossil record pertaining to modern humans.
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21
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A dispersal of Homo sapiens from southern to eastern Africa immediately preceded the out-of-Africa migration. Sci Rep 2019; 9:4728. [PMID: 30894612 PMCID: PMC6426877 DOI: 10.1038/s41598-019-41176-3] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2018] [Accepted: 02/19/2019] [Indexed: 01/08/2023] Open
Abstract
Africa was the birth-place of Homo sapiens and has the earliest evidence for symbolic behaviour and complex technologies. The best-attested early flowering of these distinctive features was in a glacial refuge zone on the southern coast 100–70 ka, with fewer indications in eastern Africa until after 70 ka. Yet it was eastern Africa, not the south, that witnessed the first major demographic expansion, ~70–60 ka, which led to the peopling of the rest of the world. One possible explanation is that important cultural traits were transmitted from south to east at this time. Here we identify a mitochondrial signal of such a dispersal soon after ~70 ka – the only time in the last 200,000 years that humid climate conditions encompassed southern and tropical Africa. This dispersal immediately preceded the out-of-Africa expansions, potentially providing the trigger for these expansions by transmitting significant cultural elements from the southern African refuge.
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22
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Rapid evolution of a skin-lightening allele in southern African KhoeSan. Proc Natl Acad Sci U S A 2018; 115:13324-13329. [PMID: 30530665 DOI: 10.1073/pnas.1801948115] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Skin pigmentation is under strong directional selection in northern European and Asian populations. The indigenous KhoeSan populations of far southern Africa have lighter skin than other sub-Saharan African populations, potentially reflecting local adaptation to a region of Africa with reduced UV radiation. Here, we demonstrate that a canonical Eurasian skin pigmentation gene, SLC24A5, was introduced to southern Africa via recent migration and experienced strong adaptive evolution in the KhoeSan. To reconstruct the evolution of skin pigmentation, we collected phenotypes from over 400 ≠Khomani San and Nama individuals and high-throughput sequenced candidate pigmentation genes. The derived causal allele in SLC24A5, p.Ala111Thr, significantly lightens basal skin pigmentation in the KhoeSan and explains 8 to 15% of phenotypic variance in these populations. The frequency of this allele (33 to 53%) is far greater than expected from colonial period European gene flow; however, the most common derived haplotype is identical among European, eastern African, and KhoeSan individuals. Using four-population demographic simulations with selection, we show that the allele was introduced into the KhoeSan only 2,000 y ago via a back-to-Africa migration and then experienced a selective sweep (s = 0.04 to 0.05 in ≠Khomani and Nama). The SLC24A5 locus is both a rare example of intense, ongoing adaptation in very recent human history, as well as an adaptive gene flow at a pigmentation locus in humans.
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23
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Henn BM, Steele TE, Weaver TD. Clarifying distinct models of modern human origins in Africa. Curr Opin Genet Dev 2018; 53:148-156. [PMID: 30423527 DOI: 10.1016/j.gde.2018.10.003] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2018] [Revised: 10/09/2018] [Accepted: 10/15/2018] [Indexed: 11/29/2022]
Abstract
Accumulating genomic, fossil and archaeological data from Africa have led to a renewed interest in models of modern human origins. However, such discussions are often discipline-specific, with limited integration of evidence across the different fields. Further, geneticists typically require explicit specification of parameters to test competing demographic models, but these have been poorly outlined for some scenarios. Here, we describe four possible models for the origins of Homo sapiens in Africa based on published literature from paleoanthropology and human genetics. We briefly outline expectations for data patterns under each model, with a special focus on genetic data. Additionally, we present schematics for each model, doing our best to qualitatively describe demographic histories for which genetic parameters can be specifically attached. Finally, it is our hope that this perspective provides context for discussions of human origins in other manuscripts presented in this special issue.
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Affiliation(s)
- Brenna M Henn
- Department of Anthropology, University of California, Davis, CA, 95616, United States; UC Davis Genome Center, University of California, Davis, CA, 95616, United States.
| | - Teresa E Steele
- Department of Anthropology, University of California, Davis, CA, 95616, United States
| | - Timothy D Weaver
- Department of Anthropology, University of California, Davis, CA, 95616, United States
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24
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Detection and Classification of Hard and Soft Sweeps from Unphased Genotypes by Multilocus Genotype Identity. Genetics 2018; 210:1429-1452. [PMID: 30315068 DOI: 10.1534/genetics.118.301502] [Citation(s) in RCA: 51] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2018] [Accepted: 10/08/2018] [Indexed: 11/18/2022] Open
Abstract
Positive natural selection can lead to a decrease in genomic diversity at the selected site and at linked sites, producing a characteristic signature of elevated expected haplotype homozygosity. These selective sweeps can be hard or soft. In the case of a hard selective sweep, a single adaptive haplotype rises to high population frequency, whereas multiple adaptive haplotypes sweep through the population simultaneously in a soft sweep, producing distinct patterns of genetic variation in the vicinity of the selected site. Measures of expected haplotype homozygosity have previously been used to detect sweeps in multiple study systems. However, these methods are formulated for phased haplotype data, typically unavailable for nonmodel organisms, and some may have reduced power to detect soft sweeps due to their increased genetic diversity relative to hard sweeps. To address these limitations, we applied the H12 and H2/H1 statistics proposed in 2015 by Garud et al., which have power to detect both hard and soft sweeps, to unphased multilocus genotypes, denoting them as G12 and G2/G1. G12 (and the more direct expected homozygosity analog to H12, denoted G123) has comparable power to H12 for detecting both hard and soft sweeps. G2/G1 can be used to classify hard and soft sweeps analogously to H2/H1, conditional on a genomic region having high G12 or G123 values. The reason for this power is that, under random mating, the most frequent haplotypes will yield the most frequent multilocus genotypes. Simulations based on parameters compatible with our recent understanding of human demographic history suggest that expected homozygosity methods are best suited for detecting recent sweeps, and increase in power under recent population expansions. Finally, we find candidates for selective sweeps within the 1000 Genomes CEU, YRI, GIH, and CHB populations, which corroborate and complement existing studies.
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25
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Steinrücken M, Spence JP, Kamm JA, Wieczorek E, Song YS. Model-based detection and analysis of introgressed Neanderthal ancestry in modern humans. Mol Ecol 2018; 27:3873-3888. [PMID: 29603507 PMCID: PMC6165692 DOI: 10.1111/mec.14565] [Citation(s) in RCA: 45] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2017] [Revised: 02/16/2018] [Accepted: 03/06/2018] [Indexed: 01/03/2023]
Abstract
Genetic evidence has revealed that the ancestors of modern human populations outside Africa and their hominin sister groups, notably Neanderthals, exchanged genetic material in the past. The distribution of these introgressed sequence tracts along modern-day human genomes provides insight into the selective forces acting on them and the role of introgression in the evolutionary history of hominins. Studying introgression patterns on the X-chromosome is of particular interest, as sex chromosomes are thought to play a special role in speciation. Recent studies have developed methods to localize introgressed ancestries, reporting long regions that are depleted of Neanderthal introgression and enriched in genes, suggesting negative selection against the Neanderthal variants. On the other hand, enriched Neanderthal ancestry in hair- and skin-related genes suggests that some introgressed variants facilitated adaptation to new environments. Here, we present a model-based introgression detection method called dical-admix. We demonstrate its efficiency and accuracy through extensive simulations and apply it to detect tracts of Neanderthal introgression in modern human individuals from the 1000 Genomes Project. Our findings are largely concordant with previous studies, consistent with weak selection against Neanderthal ancestry. We find evidence that selection against Neanderthal ancestry was due to higher genetic load in Neanderthals resulting from small effective population size, rather than widespread Dobzhansky-Müller incompatibilities (DMIs) that could contribute to reproductive isolation. Moreover, we confirm the previously reported low level of introgression on the X-chromosome, but find little evidence that DMIs contributed to this pattern.
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Affiliation(s)
- Matthias Steinrücken
- Department of Ecology and Evolution, University of Chicago
- Department of Biostatistics and Epidemiology, University of
Massachusetts, Amherst
- Department of EECS, University of California, Berkeley
| | - Jeffrey P. Spence
- Computational Biology Graduate Group, University of California,
Berkeley
| | - John A. Kamm
- Department of Statistics, University of California, Berkeley
| | | | - Yun S. Song
- Department of EECS, University of California, Berkeley
- Department of Statistics, University of California, Berkeley
- Chan Zuckerberg Biohub, San Francisco
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26
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Schlebusch CM, Jakobsson M. Tales of Human Migration, Admixture, and Selection in Africa. Annu Rev Genomics Hum Genet 2018; 19:405-428. [DOI: 10.1146/annurev-genom-083117-021759] [Citation(s) in RCA: 55] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
In the last three decades, genetic studies have played an increasingly important role in exploring human history. They have helped to conclusively establish that anatomically modern humans first appeared in Africa roughly 250,000–350,000 years before present and subsequently migrated to other parts of the world. The history of humans in Africa is complex and includes demographic events that influenced patterns of genetic variation across the continent. Through genetic studies, it has become evident that deep African population history is captured by relationships among African hunter–gatherers, as the world's deepest population divergences occur among these groups, and that the deepest population divergence dates to 300,000 years before present. However, the spread of pastoralism and agriculture in the last few thousand years has shaped the geographic distribution of present-day Africans and their genetic diversity. With today's sequencing technologies, we can obtain full genome sequences from diverse sets of extant and prehistoric Africans. The coming years will contribute exciting new insights toward deciphering human evolutionary history in Africa.
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Affiliation(s)
- Carina M. Schlebusch
- Human Evolution, Department of Organismal Biology, Uppsala University, SE-752 36 Uppsala, Sweden;,
- Centre for Anthropological Research and Department of Anthropology and Development Studies, University of Johannesburg, 2006 Johannesburg, South Africa
- SciLifeLab, SE-751 23 Uppsala, Sweden
| | - Mattias Jakobsson
- Human Evolution, Department of Organismal Biology, Uppsala University, SE-752 36 Uppsala, Sweden;,
- Centre for Anthropological Research and Department of Anthropology and Development Studies, University of Johannesburg, 2006 Johannesburg, South Africa
- SciLifeLab, SE-751 23 Uppsala, Sweden
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27
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The demographic and adaptive history of central African hunter-gatherers and farmers. Curr Opin Genet Dev 2018; 53:90-97. [PMID: 30103089 DOI: 10.1016/j.gde.2018.07.008] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2018] [Accepted: 07/18/2018] [Indexed: 01/06/2023]
Abstract
Central Africa, a forested region that supports an exceptionally high biodiversity, hosts the world's largest group of hunter-gatherers, who live in close proximity with groups that have adopted agriculture over the past 5000 years. Our understanding of the prehistory of these populations has been dramatically hampered by the almost total absence of fossil remains in this region, a limitation that has recently been circumvented by population genomics approaches. Different studies have estimated that ancestors of rainforest hunter-gatherers and Bantu-speaking farmers separated more than 60 000 years ago, supporting the occurrence of ancient population structure in Africa since the Late Pleistocene. Conversely, the Holocene in central Africa was characterized by large-scale population migrations associated with the emergence of agriculture, and increased genetic interactions between autochthonous rainforest hunter-gatherers and expanding Bantu-speaking farmers. Genomic scans have detected numerous candidate loci for positive selection in these populations, including convergent adaptation for short stature in groups of rainforest hunter-gatherers and local adaptation to endemic malaria in western and central Africans. Furthermore, there is recent increasing evidence that adaptive variation has been acquired by various African populations through admixture, suggesting a previously unappreciated role of intraspecies gene flow in local adaptation. Ancient and modern DNA studies will greatly broaden, and probably challenge, our view on the past history of central Africa, where introgression from yet uncharacterized archaic hominins and long-term adaptation to distinct ecological niches are suspected.
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28
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Choudhury A, Aron S, Sengupta D, Hazelhurst S, Ramsay M. African genetic diversity provides novel insights into evolutionary history and local adaptations. Hum Mol Genet 2018; 27:R209-R218. [PMID: 29741686 PMCID: PMC6061870 DOI: 10.1093/hmg/ddy161] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2018] [Revised: 04/27/2018] [Accepted: 04/27/2018] [Indexed: 12/22/2022] Open
Abstract
Genetic variation and susceptibility to disease are shaped by human demographic history and adaptation. We can now study the genomes of extant Africans and uncover traces of population migration, admixture, assimilation and selection by applying sophisticated computational algorithms. There are four major ethnolinguistic divisions among present day Africans: Hunter-gatherer populations in southern and central Africa; Nilo-Saharan speakers from north and northeast Africa; Afro-Asiatic speakers from north and east Africa; and Niger-Congo speakers who are the predominant ethnolinguistic group spread across most of sub-Saharan Africa. The enormous ethnolinguistic diversity in sub-Saharan African populations is largely paralleled by extensive genetic diversity and until a decade ago, little was known about detailed origins and divergence of these groups. Results from large-scale population genetic studies, and more recently whole genome sequence data, are unravelling the critical role of events like migration and admixture and environmental factors including diet, infectious diseases and climatic conditions in shaping current population diversity. It is now possible to start providing quantitative estimates of divergence times, population size and dynamic processes that have affected populations and their genetic risk for disease. Finally, the availability of ancient genomes from Africa provides historical insights of unprecedented depth. In this review, we highlight some key interpretations that have emerged from recent African genome studies.
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Affiliation(s)
- Ananyo Choudhury
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Shaun Aron
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Dhriti Sengupta
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Scott Hazelhurst
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- School of Electrical & Information Engineering, University of the Witwatersrand, Johannesburg, South Africa
| | - Michèle Ramsay
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Division of Human Genetics, National Health Laboratory Service and School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
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29
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Cooke NP, Nakagome S. Fine-tuning of Approximate Bayesian Computation for human population genomics. Curr Opin Genet Dev 2018; 53:60-69. [PMID: 30029009 DOI: 10.1016/j.gde.2018.06.016] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2018] [Accepted: 06/30/2018] [Indexed: 12/13/2022]
Abstract
Approximate Bayesian Computation (ABC) is a flexible statistical tool widely applied to addressing a variety of questions regarding the origin and evolution of humans. The significant growth of genomic scale data from diverse geographic populations has facilitated the use of ABC in modelling the complex processes that underlie human demography and local adaptation. However, a fundamental issue still remains in how to efficiently capture patterns of genetic variation with a set of summary statistics in order to achieve better approximation of Bayesian inference. Here, we review recent advances in ABC methodology and its applications for human population genomics, with a particular focus on optimal tuning of ABC approaches for different types of genetic data and different sets of evolutionary parameters.
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Affiliation(s)
- Niall P Cooke
- Trinity Translational Medicine Institute, School of Medicine, Trinity College Dublin, Dublin, Ireland
| | - Shigeki Nakagome
- Trinity Translational Medicine Institute, School of Medicine, Trinity College Dublin, Dublin, Ireland.
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30
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Did Our Species Evolve in Subdivided Populations across Africa, and Why Does It Matter? Trends Ecol Evol 2018; 33:582-594. [PMID: 30007846 PMCID: PMC6092560 DOI: 10.1016/j.tree.2018.05.005] [Citation(s) in RCA: 143] [Impact Index Per Article: 20.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2017] [Revised: 05/15/2018] [Accepted: 05/17/2018] [Indexed: 01/27/2023]
Abstract
We challenge the view that our species, Homo sapiens, evolved within a single population and/or region of Africa. The chronology and physical diversity of Pleistocene human fossils suggest that morphologically varied populations pertaining to the H. sapiens clade lived throughout Africa. Similarly, the African archaeological record demonstrates the polycentric origin and persistence of regionally distinct Pleistocene material culture in a variety of paleoecological settings. Genetic studies also indicate that present-day population structure within Africa extends to deep times, paralleling a paleoenvironmental record of shifting and fractured habitable zones. We argue that these fields support an emerging view of a highly structured African prehistory that should be considered in human evolutionary inferences, prompting new interpretations, questions, and interdisciplinary research directions. The view that Homo sapiens evolved from a single region/population within Africa has been given primacy in studies of human evolution. However, developments across multiple fields show that relevant data are no longer consistent with this view. We argue instead that Homo sapiens evolved within a set of interlinked groups living across Africa, whose connectivity changed through time. Genetic models therefore need to incorporate a more complex view of ancient migration and divergence in Africa. We summarize this new framework emphasizing population structure, outline how this changes our understanding of human evolution, and identify new research directions.
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31
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Hemmings SMJ, Xulu K, Sommer J, Hinsberger M, Malan-Muller S, Tromp G, Elbert T, Weierstall R, Seedat S. Appetitive and reactive aggression are differentially associated with the STin2 genetic variant in the serotonin transporter gene. Sci Rep 2018; 8:6714. [PMID: 29712944 PMCID: PMC5928100 DOI: 10.1038/s41598-018-25066-8] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2017] [Accepted: 04/09/2018] [Indexed: 12/16/2022] Open
Abstract
Appetitive aggression is a sub-category of instrumental aggression, characterised by the primary intrinsic enjoyment of aggressive activity. Aggression is heritable, and serotonergic and monoaminergic neurotransmitter systems have been found to contribute to the underlying molecular mechanisms. The aim of this study was to investigate the role that genetic variants in the serotonin transporter (SLC6A4) and monoamine oxidase A (MAOA) genes play in the aetiology of appetitive aggression in South African Xhosa males (n = 290). SLC6A4 5-HTTLPR, rs25531, and STin2 variants, as well as MAOA-uVNTR were investigated for their association with levels of appetitive aggression using Poisson regression analysis. The STin2 VNTR12 allele was found to be associated with increased levels of appetitive aggression (p = 0.003), but with decreased levels of reactive aggression (p = 7 × 10-5). This study is the first to investigate genetic underpinnings of appetitive aggression in a South African population, with preliminary evidence suggesting that SCL6A4 STin2 variants play a role in its aetiology, and may also be important in differentiating between appetitive and reactive aggression. Although the results require replication, they shed some preliminary light on the molecular dichotomy that may underlie the two forms of aggression.
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Affiliation(s)
- Sian Megan Joanna Hemmings
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, South Africa.
| | - Khethelo Xulu
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, South Africa
| | - Jessica Sommer
- Department of Psychology, University of Konstanz, Konstanz, Germany
| | | | - Stefanie Malan-Muller
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, South Africa
| | - Gerard Tromp
- Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, South Africa
| | - Thomas Elbert
- Department of Psychology, University of Konstanz, Konstanz, Germany
| | - Roland Weierstall
- Department of Psychology, University of Konstanz, Konstanz, Germany.,Clinical Psychology and Psychotherapy, Medical School Hamburg, Hamburg, Germany
| | - Soraya Seedat
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, South Africa
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32
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Kandler A, Powell A. Generative inference for cultural evolution. Philos Trans R Soc Lond B Biol Sci 2018; 373:20170056. [PMID: 29440522 PMCID: PMC5812969 DOI: 10.1098/rstb.2017.0056] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/21/2017] [Indexed: 11/12/2022] Open
Abstract
One of the major challenges in cultural evolution is to understand why and how various forms of social learning are used in human populations, both now and in the past. To date, much of the theoretical work on social learning has been done in isolation of data, and consequently many insights focus on revealing the learning processes or the distributions of cultural variants that are expected to have evolved in human populations. In population genetics, recent methodological advances have allowed a greater understanding of the explicit demographic and/or selection mechanisms that underlie observed allele frequency distributions across the globe, and their change through time. In particular, generative frameworks-often using coalescent-based simulation coupled with approximate Bayesian computation (ABC)-have provided robust inferences on the human past, with no reliance on a priori assumptions of equilibrium. Here, we demonstrate the applicability and utility of generative inference approaches to the field of cultural evolution. The framework advocated here uses observed population-level frequency data directly to establish the likely presence or absence of particular hypothesized learning strategies. In this context, we discuss the problem of equifinality and argue that, in the light of sparse cultural data and the multiplicity of possible social learning processes, the exclusion of those processes inconsistent with the observed data might be the most instructive outcome. Finally, we summarize the findings of generative inference approaches applied to a number of case studies.This article is part of the theme issue 'Bridging cultural gaps: interdisciplinary studies in human cultural evolution'.
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Affiliation(s)
- Anne Kandler
- Department of Human Behavior, Ecology and Culture, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany
| | - Adam Powell
- Department of Linguistic and Cultural Evolution, Max Planck Institute for the Science of Human History, 07745 Jena, Germany
- Department of Archaeogenetics, Max Planck Institute for the Science of Human History, 07745 Jena, Germany
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33
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Nemat-Gorgani N, Hilton HG, Henn BM, Lin M, Gignoux CR, Myrick JW, Werely CJ, Granka JM, Möller M, Hoal EG, Yawata M, Yawata N, Boelen L, Asquith B, Parham P, Norman PJ. Different Selected Mechanisms Attenuated the Inhibitory Interaction of KIR2DL1 with C2 + HLA-C in Two Indigenous Human Populations in Southern Africa. THE JOURNAL OF IMMUNOLOGY 2018; 200:2640-2655. [PMID: 29549179 DOI: 10.4049/jimmunol.1701780] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/26/2017] [Accepted: 02/21/2018] [Indexed: 01/03/2023]
Abstract
The functions of human NK cells in defense against pathogens and placental development during reproduction are modulated by interactions of killer cell Ig-like receptors (KIRs) with HLA-A, -B and -C class I ligands. Both receptors and ligands are highly polymorphic and exhibit extensive differences between human populations. Indigenous to southern Africa are the KhoeSan, the most ancient group of modern human populations, who have highest genomic diversity worldwide. We studied two KhoeSan populations, the Nama pastoralists and the ≠Khomani San hunter-gatherers. Comprehensive next-generation sequence analysis of HLA-A, -B, and -C and all KIR genes identified 248 different KIR and 137 HLA class I, which assort into ∼200 haplotypes for each gene family. All 74 Nama and 78 ≠Khomani San studied have different genotypes. Numerous novel KIR alleles were identified, including three arising by intergenic recombination. On average, KhoeSan individuals have seven to eight pairs of interacting KIR and HLA class I ligands, the highest diversity and divergence of polymorphic NK cell receptors and ligands observed to date. In this context of high genetic diversity, both the Nama and the ≠Khomani San have an unusually conserved, centromeric KIR haplotype that has arisen to high frequency and is different in the two KhoeSan populations. Distinguishing these haplotypes are independent mutations in KIR2DL1, which both prevent KIR2DL1 from functioning as an inhibitory receptor for C2+ HLA-C. The relatively high frequency of C2+ HLA-C in the Nama and the ≠Khomani San appears to have led to natural selection against strong inhibitory C2-specific KIR.
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Affiliation(s)
- Neda Nemat-Gorgani
- Department of Structural Biology, Stanford University School of Medicine, Stanford, CA 94305.,Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305
| | - Hugo G Hilton
- Department of Structural Biology, Stanford University School of Medicine, Stanford, CA 94305.,Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305
| | - Brenna M Henn
- Department of Ecology and Evolution, Stony Brook University, Stony Brook, NY 11794
| | - Meng Lin
- Department of Ecology and Evolution, Stony Brook University, Stony Brook, NY 11794
| | - Christopher R Gignoux
- Colorado Center for Personalized Medicine, University of Colorado, Denver, CO 80045.,Department of Biostatistics, University of Colorado, Denver, CO 80045
| | - Justin W Myrick
- Department of Ecology and Evolution, Stony Brook University, Stony Brook, NY 11794
| | - Cedric J Werely
- South African Medical Research Council Centre for Tuberculosis Research, Department of Science and Technology/National Research Foundation Centre of Excellence for Biomedical Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg 7505, South Africa
| | - Julie M Granka
- Department of Biology, Stanford University, Stanford, CA 94305
| | - Marlo Möller
- South African Medical Research Council Centre for Tuberculosis Research, Department of Science and Technology/National Research Foundation Centre of Excellence for Biomedical Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg 7505, South Africa
| | - Eileen G Hoal
- South African Medical Research Council Centre for Tuberculosis Research, Department of Science and Technology/National Research Foundation Centre of Excellence for Biomedical Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg 7505, South Africa
| | - Makoto Yawata
- Department of Structural Biology, Stanford University School of Medicine, Stanford, CA 94305.,Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305.,Department of Pediatrics, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, National University of Singapore, Singapore 119077, Singapore.,Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore 117609, Singapore
| | - Nobuyo Yawata
- Department of Structural Biology, Stanford University School of Medicine, Stanford, CA 94305.,Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305.,Section of Ophthalmology, Department of Medicine, Fukuoka Dental College, Fukuoka 814-0193, Japan; and
| | - Lies Boelen
- Section of Immunology, Imperial College London, London SW7 2BX, United Kingdom
| | - Becca Asquith
- Section of Immunology, Imperial College London, London SW7 2BX, United Kingdom
| | - Peter Parham
- Department of Structural Biology, Stanford University School of Medicine, Stanford, CA 94305.,Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305
| | - Paul J Norman
- Department of Structural Biology, Stanford University School of Medicine, Stanford, CA 94305; .,Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305
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35
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Miyagawa S, Lesure C, Nóbrega VA. Cross-Modality Information Transfer: A Hypothesis about the Relationship among Prehistoric Cave Paintings, Symbolic Thinking, and the Emergence of Language. Front Psychol 2018. [PMID: 29515474 PMCID: PMC5826056 DOI: 10.3389/fpsyg.2018.00115] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Early modern humans developed mental capabilities that were immeasurably greater than those of non-human primates. We see this in the rapid innovation in tool making, the development of complex language, and the creation of sophisticated art forms, none of which we find in our closest relatives. While we can readily observe the results of this high-order cognitive capacity, it is difficult to see how it could have developed. We take up the topic of cave art and archeoacoustics, particularly the discovery that cave art is often closely connected to the acoustic properties of the cave chambers in which it is found. Apparently, early modern humans were able to detect the way sound reverberated in these chambers, and they painted artwork on surfaces that were acoustic “hot spots,” i.e., suitable for generating echoes. We argue that cave art is a form of cross-modality information transfer, in which acoustic signals are transformed into symbolic visual representations. This form of information transfer across modalities is an instance of how the symbolic mind of early modern humans was taking shape into concrete, externalized language. We also suggest that the earliest rock art found in Africa may constitute one of the first fossilized proxies for the expression of full-fledged human linguistic behavior.
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Affiliation(s)
- Shigeru Miyagawa
- Department of Linguistics and Philosophy, Massachusetts Institute of Technology, Cambridge, MA, United States.,Center for Research and Development of Higher Education, The University of Tokyo, Tokyo, Japan
| | - Cora Lesure
- Department of Linguistics and Philosophy, Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Vitor A Nóbrega
- Department of Linguistics, University of São Paulo, São Paulo, Brazil
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36
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Owers KA, Sjödin P, Schlebusch CM, Skoglund P, Soodyall H, Jakobsson M. Adaptation to infectious disease exposure in indigenous Southern African populations. Proc Biol Sci 2018; 284:rspb.2017.0226. [PMID: 28381615 DOI: 10.1098/rspb.2017.0226] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2017] [Accepted: 03/08/2017] [Indexed: 02/04/2023] Open
Abstract
Genetic analyses can provide information about human evolutionary history that cannot always be gleaned from other sources. We evaluated evidence of selective pressure due to introduced infectious diseases in the genomes of two indigenous southern African San groups-the ‡Khomani who had abundant contact with other people migrating into the region and the more isolated Ju|'hoansi. We used a dual approach to test for increased selection on immune genes compared with the rest of the genome in these groups. First, we calculated summary values of statistics that measure genomic signatures of adaptation to contrast selection signatures in immune genes and all genes. Second, we located regions of the genome with extreme values of three selection statistics and examined these regions for enrichment of immune genes. We found stronger and more abundant signals of selection in immune genes in the ‡Khomani than in the Ju|'hoansi. We confirm this finding within each population to avoid effects of different demographic histories of the two populations. We identified eight immune genes that have potentially been targets of strong selection in the ‡Khomani, whereas in the Ju|'hoansi, no immune genes were found in the genomic regions with the strongest signals of selection. We suggest that the more abundant signatures of selection at immune genes in the ‡Khomani could be explained by their more frequent contact with immigrant groups, which likely led to increased exposure and adaptation to introduced infectious diseases.
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Affiliation(s)
- Katharine A Owers
- Department of Organismal Biology, Evolutionary Biology Centre, Uppsala University, Norbyvägen 18C, 752 36 Uppsala, Sweden.,Department of Epidemiology of Microbial Diseases, Yale University School of Public Health, New Haven, CT, USA
| | - Per Sjödin
- Department of Organismal Biology, Evolutionary Biology Centre, Uppsala University, Norbyvägen 18C, 752 36 Uppsala, Sweden
| | - Carina M Schlebusch
- Department of Organismal Biology, Evolutionary Biology Centre, Uppsala University, Norbyvägen 18C, 752 36 Uppsala, Sweden
| | - Pontus Skoglund
- Department of Organismal Biology, Evolutionary Biology Centre, Uppsala University, Norbyvägen 18C, 752 36 Uppsala, Sweden
| | - Himla Soodyall
- Division of Human Genetics, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand and National Health Laboratory Service, Johannesburg, South Africa
| | - Mattias Jakobsson
- Department of Organismal Biology, Evolutionary Biology Centre, Uppsala University, Norbyvägen 18C, 752 36 Uppsala, Sweden .,Science for Life Laboratory, Uppsala University, Uppsala, Sweden
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37
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Černý V, Kulichová I, Poloni ES, Nunes JM, Pereira L, Mayor A, Sanchez-Mazas A. Genetic history of the African Sahelian populations. HLA 2018; 91:153-166. [DOI: 10.1111/tan.13189] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2017] [Accepted: 12/03/2017] [Indexed: 12/13/2022]
Affiliation(s)
- V. Černý
- Department of Anthropology, Faculty of Natural Sciences; Comenius University, Ilkovicova 6; 842 15 Bratislava Slovakia
| | - I. Kulichová
- Department of Anthropology and Human Genetics, Faculty of Science; Charles University in Prague; Prague Czech Republic
| | - E. S. Poloni
- Laboratory of Anthropology, Genetics and Peopling History (AGP), Department of Genetics and Evolution, Anthropology Unit; University of Geneva; Geneva Switzerland
- Institute of Genetics and Genomics in Geneva (IGE3); Geneva Switzerland
| | - J. M. Nunes
- Laboratory of Anthropology, Genetics and Peopling History (AGP), Department of Genetics and Evolution, Anthropology Unit; University of Geneva; Geneva Switzerland
- Institute of Genetics and Genomics in Geneva (IGE3); Geneva Switzerland
| | - L. Pereira
- Instituto de Investigação e Inovação em Saúde; Universidade do Porto (i3S); Porto Portugal
- Instituto de Patologia e Imunologia Molecular da Universidade do Porto (IPATIMUP); Porto Portugal
| | - A. Mayor
- Laboratory of African Archaeology and Peopling History (APA), Department of Genetics and Evolution, Anthropology Unit; University of Geneva; Geneva Switzerland
| | - A. Sanchez-Mazas
- Laboratory of Anthropology, Genetics and Peopling History (AGP), Department of Genetics and Evolution, Anthropology Unit; University of Geneva; Geneva Switzerland
- Institute of Genetics and Genomics in Geneva (IGE3); Geneva Switzerland
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Oliveira S, Fehn AM, Aço T, Lages F, Gayà-Vidal M, Pakendorf B, Stoneking M, Rocha J. Matriclans shape populations: Insights from the Angolan Namib Desert into the maternal genetic history of southern Africa. AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY 2018; 165:518-535. [PMID: 29313877 DOI: 10.1002/ajpa.23378] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2017] [Revised: 11/17/2017] [Accepted: 12/09/2017] [Indexed: 11/10/2022]
Abstract
OBJECTIVES Southern Angola is a poorly studied region, inhabited by populations that have been associated with different migratory movements into southern Africa. Apart from Kx'a-speaking San foragers and Bantu-speaking pastoralists, ethnographic and linguistic studies have suggested the existence of an enigmatic array of pre-Bantu communities, like the Kwepe (formerly Khoe-Kwadi speakers), Twa and Kwisi. Here, we evaluate previous peopling hypotheses by assessing the relationships between different southern Angolan populations, based on newly collected linguistic data and complete mtDNA genomes. MATERIALS AND METHODS We analyzed 295 complete mtDNA genomes and linguistic data from seven groups from the Namib Desert (Himba, Kuvale, Tjimba, Twa, Kwisi, Kwepe) and Kunene Province (!Xun), placing special emphasis on the evaluation of the genealogical consistency of the matriclanic system that characterizes most of these groups. RESULTS We found that the maternal genetic structure of all groups from the Namib Desert was strongly shaped by the consistency of their matriclanic system. The tracking of the maternal heritage enhanced population differentiation by genetic drift and is likely to have caused the divergent mtDNA profiles of the Kwepe, Twa, and Kwisi, who probably formed a single population within the spectrum of Bantu genetic variation. Model-based analyses further suggest that the dominant pastoral groups Kuvale and Himba may be grouped into a Bantu proto-population which also included the ancestors of present-day Tjimba and Herero, as well as the Khoe-Kwadi speaking Damara foragers from Namibia. DISCUSSION The view from southwestern Angola offers a new perspective on the populating history of southern Africa and the Bantu expansions by showing that social stratification and different subsistence patterns are not always indicative of remnant groups, but may reflect Bantu-internal variation and ethnogenesis.
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Affiliation(s)
- Sandra Oliveira
- CIBIO/InBIO: Research Center in Biodiversity and Genetic Resources, Vairão 4485-661, Portugal.,Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, Porto 4169-007, Portugal
| | - Anne-Maria Fehn
- CIBIO/InBIO: Research Center in Biodiversity and Genetic Resources, Vairão 4485-661, Portugal.,Department of Linguistic and Cultural Evolution, Max Planck Institute for the Science of Human History, Jena 07745, Germany.,Institute for African Studies, Goethe University, Frankfurt 60323, Germany
| | - Teresa Aço
- Centro de Estudos do Deserto (CEDO), Namibe, Angola
| | - Fernanda Lages
- ISCED/Huíla-Instituto Superior de Ciências da Educação, Lubango, Angola
| | - Magdalena Gayà-Vidal
- CIBIO/InBIO: Research Center in Biodiversity and Genetic Resources, Vairão 4485-661, Portugal
| | - Brigitte Pakendorf
- Laboratoire Dynamique du Langage, UMR5596, CNRS & Université Lyon, Lyon 69007, France
| | - Mark Stoneking
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Leipzig 04103, Germany
| | - Jorge Rocha
- CIBIO/InBIO: Research Center in Biodiversity and Genetic Resources, Vairão 4485-661, Portugal.,Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, Porto 4169-007, Portugal.,ISCED/Huíla-Instituto Superior de Ciências da Educação, Lubango, Angola
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39
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Martin AR, Lin M, Granka JM, Myrick JW, Liu X, Sockell A, Atkinson EG, Werely CJ, Möller M, Sandhu MS, Kingsley DM, Hoal EG, Liu X, Daly MJ, Feldman MW, Gignoux CR, Bustamante CD, Henn BM. An Unexpectedly Complex Architecture for Skin Pigmentation in Africans. Cell 2017; 171:1340-1353.e14. [PMID: 29195075 PMCID: PMC5884124 DOI: 10.1016/j.cell.2017.11.015] [Citation(s) in RCA: 102] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2017] [Revised: 08/13/2017] [Accepted: 11/08/2017] [Indexed: 01/17/2023]
Abstract
Approximately 15 genes have been directly associated with skin pigmentation variation in humans, leading to its characterization as a relatively simple trait. However, by assembling a global survey of quantitative skin pigmentation phenotypes, we demonstrate that pigmentation is more complex than previously assumed, with genetic architecture varying by latitude. We investigate polygenicity in the KhoeSan populations indigenous to southern Africa who have considerably lighter skin than equatorial Africans. We demonstrate that skin pigmentation is highly heritable, but known pigmentation loci explain only a small fraction of the variance. Rather, baseline skin pigmentation is a complex, polygenic trait in the KhoeSan. Despite this, we identify canonical and non-canonical skin pigmentation loci, including near SLC24A5, TYRP1, SMARCA2/VLDLR, and SNX13, using a genome-wide association approach complemented by targeted resequencing. By considering diverse, under-studied African populations, we show how the architecture of skin pigmentation can vary across humans subject to different local evolutionary pressures.
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Affiliation(s)
- Alicia R Martin
- Department of Genetics, Stanford University, Stanford, CA 94305, USA; Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Program in Medical and Population Genetics, Broad Institute, Cambridge, MA 02141, USA; Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA 02141, USA.
| | - Meng Lin
- Department of Ecology and Evolution, SUNY Stony Brook, NY 11794, USA
| | - Julie M Granka
- Department of Biological Sciences, Stanford University, Stanford, CA 94305, USA
| | - Justin W Myrick
- Department of Ecology and Evolution, SUNY Stony Brook, NY 11794, USA
| | | | - Alexandra Sockell
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | | | - Cedric J Werely
- SA MRC Centre for Tuberculosis Research, DST/NRF Centre of Excellence for Biomedical Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, Cape Town, South Africa
| | - Marlo Möller
- SA MRC Centre for Tuberculosis Research, DST/NRF Centre of Excellence for Biomedical Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, Cape Town, South Africa
| | | | - David M Kingsley
- Department of Developmental Biology, Stanford University, Stanford, CA 94305, USA
| | - Eileen G Hoal
- SA MRC Centre for Tuberculosis Research, DST/NRF Centre of Excellence for Biomedical Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, Cape Town, South Africa
| | - Xiao Liu
- BGI-Shenzhen, Shenzhen, Guangdong, China
| | - Mark J Daly
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Program in Medical and Population Genetics, Broad Institute, Cambridge, MA 02141, USA; Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA 02141, USA
| | - Marcus W Feldman
- Department of Biological Sciences, Stanford University, Stanford, CA 94305, USA
| | | | | | - Brenna M Henn
- Department of Ecology and Evolution, SUNY Stony Brook, NY 11794, USA.
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40
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Pfeifer SP. Direct estimate of the spontaneous germ line mutation rate in African green monkeys. Evolution 2017; 71:2858-2870. [PMID: 29068052 DOI: 10.1111/evo.13383] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2017] [Revised: 10/03/2017] [Accepted: 10/09/2017] [Indexed: 12/30/2022]
Abstract
Here, I provide the first direct estimate of the spontaneous mutation rate in an Old World monkey, using a seven individual, three-generation pedigree of African green monkeys. Eight de novo mutations were identified within ∼1.5 Gbp of accessible genome, corresponding to an estimated point mutation rate of 0.94 × 10-8 per site per generation, suggesting an effective population size of ∼12000 for the species. This estimation represents a significant improvement in our knowledge of the population genetics of the African green monkey, one of the most important nonhuman primate models in biomedical research. Furthermore, by comparing mutation rates in Old World monkeys with the only other direct estimates in primates to date-humans and chimpanzees-it is possible to uniquely address how mutation rates have evolved over longer time scales. While the estimated spontaneous mutation rate for African green monkeys is slightly lower than the rate of 1.2 × 10-8 per base pair per generation reported in chimpanzees, it is similar to the lower range of rates of 0.96 × 10-8 -1.28 × 10-8 per base pair per generation recently estimated from whole genome pedigrees in humans. This result suggests a long-term constraint on mutation rate that is quite different from similar evidence pertaining to recombination rate evolution in primates.
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Affiliation(s)
- Susanne P Pfeifer
- School of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.,Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland.,School of Life Sciences, Arizona State University (ASU), Tempe, Arizona 85281
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41
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Skoglund P, Thompson JC, Prendergast ME, Mittnik A, Sirak K, Hajdinjak M, Salie T, Rohland N, Mallick S, Peltzer A, Heinze A, Olalde I, Ferry M, Harney E, Michel M, Stewardson K, Cerezo-Román JI, Chiumia C, Crowther A, Gomani-Chindebvu E, Gidna AO, Grillo KM, Helenius IT, Hellenthal G, Helm R, Horton M, López S, Mabulla AZP, Parkington J, Shipton C, Thomas MG, Tibesasa R, Welling M, Hayes VM, Kennett DJ, Ramesar R, Meyer M, Pääbo S, Patterson N, Morris AG, Boivin N, Pinhasi R, Krause J, Reich D. Reconstructing Prehistoric African Population Structure. Cell 2017; 171:59-71.e21. [PMID: 28938123 PMCID: PMC5679310 DOI: 10.1016/j.cell.2017.08.049] [Citation(s) in RCA: 205] [Impact Index Per Article: 25.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2016] [Revised: 07/01/2017] [Accepted: 08/29/2017] [Indexed: 02/06/2023]
Abstract
We assembled genome-wide data from 16 prehistoric Africans. We show that the anciently divergent lineage that comprises the primary ancestry of the southern African San had a wider distribution in the past, contributing approximately two-thirds of the ancestry of Malawi hunter-gatherers ∼8,100-2,500 years ago and approximately one-third of the ancestry of Tanzanian hunter-gatherers ∼1,400 years ago. We document how the spread of farmers from western Africa involved complete replacement of local hunter-gatherers in some regions, and we track the spread of herders by showing that the population of a ∼3,100-year-old pastoralist from Tanzania contributed ancestry to people from northeastern to southern Africa, including a ∼1,200-year-old southern African pastoralist. The deepest diversifications of African lineages were complex, involving either repeated gene flow among geographically disparate groups or a lineage more deeply diverging than that of the San contributing more to some western African populations than to others. We finally leverage ancient genomes to document episodes of natural selection in southern African populations. PAPERCLIP.
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Affiliation(s)
- Pontus Skoglund
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA.
| | | | - Mary E Prendergast
- Radcliffe Institute for Advanced Study, Harvard University, Cambridge, MA 02138, USA
| | - Alissa Mittnik
- Max Planck Institute for the Science of Human History, Jena 07745, Germany; Institute for Archeological Sciences, Eberhard-Karls-University, Tuebingen 72070, Germany
| | - Kendra Sirak
- Department of Anthropology, Emory University, Atlanta, GA 30322, USA; School of Archaeology and Earth Institute, University College Dublin, Dublin 4, Ireland
| | - Mateja Hajdinjak
- Max Planck Institute for Evolutionary Anthropology, Leipzig 04103, Germany
| | - Tasneem Salie
- Division of Human Genetics, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town 7925, South Africa
| | - Nadin Rohland
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
| | - Swapan Mallick
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA; Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Alexander Peltzer
- Max Planck Institute for the Science of Human History, Jena 07745, Germany; Integrative Transcriptomics, Centre for Bioinformatics, University of Tuebingen, Tuebingen 72076, Germany
| | - Anja Heinze
- Max Planck Institute for Evolutionary Anthropology, Leipzig 04103, Germany
| | - Iñigo Olalde
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
| | - Matthew Ferry
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA; Howard Hughes Medical Institute, Harvard Medical School, Boston, MA 02115, USA
| | - Eadaoin Harney
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA; Howard Hughes Medical Institute, Harvard Medical School, Boston, MA 02115, USA; Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA
| | - Megan Michel
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA; Howard Hughes Medical Institute, Harvard Medical School, Boston, MA 02115, USA
| | - Kristin Stewardson
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA; Howard Hughes Medical Institute, Harvard Medical School, Boston, MA 02115, USA
| | - Jessica I Cerezo-Román
- Department of Geography and Anthropology, California State Polytechnic University, Pomona, Pomona, CA 91768, USA
| | - Chrissy Chiumia
- Malawi Department of Museums and Monuments, Lilongwe 3, Malawi
| | - Alison Crowther
- Max Planck Institute for the Science of Human History, Jena 07745, Germany; School of Social Science, The University of Queensland, Brisbane, Queensland 4072, Australia
| | | | | | - Katherine M Grillo
- Department of Archaeology and Anthropology, University of Wisconsin - La Crosse, La Crosse, WI 54601, USA
| | - I Taneli Helenius
- Department of Genetics, Evolution and Environment, University College London, London WC1E 6BT, UK
| | - Garrett Hellenthal
- Department of Genetics, Evolution and Environment, University College London, London WC1E 6BT, UK
| | - Richard Helm
- Canterbury Archaeological Trust, Canterbury CT1 2LU, UK
| | - Mark Horton
- Department Archaeology and Anthropology, University of Bristol, Bristol BS8 1UU, UK
| | - Saioa López
- Department of Genetics, Evolution and Environment, University College London, London WC1E 6BT, UK
| | | | - John Parkington
- Department of Archaeology, University of Cape Town, Cape Town 7700, South Africa
| | - Ceri Shipton
- McDonald Institute for Archaeological Research, Cambridge CB2 3ER, UK; British Institute in Eastern Africa, Nairobi 30710, Kenya
| | - Mark G Thomas
- Department of Genetics, Evolution and Environment, University College London, London WC1E 6BT, UK
| | - Ruth Tibesasa
- Department of Anthropology and Archaeology, University of Pretoria, Pretoria 0083, South Africa
| | - Menno Welling
- African Studies Centre Leiden, Leiden University, Leiden 2300 RB, Netherlands; African Heritage Ltd, Zomba, Malawi
| | - Vanessa M Hayes
- Genomics and Epigenetics Division, Garvan Institute of Medical Research, Darlinghurst, NSW 2010, Australia; Central Clinical School, University of Sydney, Camperdown, NSW 2050, Australia; School of Health Systems and Public Health, University of Pretoria, Gezina 0031, South Africa
| | - Douglas J Kennett
- Department of Anthropology and Institutes for Energy and the Environment, Pennsylvania State University, University Park, PA 16802, USA
| | - Raj Ramesar
- Division of Human Genetics, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town 7925, South Africa
| | - Matthias Meyer
- Max Planck Institute for Evolutionary Anthropology, Leipzig 04103, Germany
| | - Svante Pääbo
- Max Planck Institute for Evolutionary Anthropology, Leipzig 04103, Germany
| | - Nick Patterson
- Radcliffe Institute for Advanced Study, Harvard University, Cambridge, MA 02138, USA; Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Alan G Morris
- Department of Archaeology, University of Cape Town, Cape Town 7700, South Africa
| | - Nicole Boivin
- Max Planck Institute for the Science of Human History, Jena 07745, Germany
| | - Ron Pinhasi
- School of Archaeology and Earth Institute, University College Dublin, Dublin 4, Ireland; Department of Anthropology, University of Vienna, Althanstrasse 14, 1090 Vienna, Austria
| | - Johannes Krause
- Max Planck Institute for the Science of Human History, Jena 07745, Germany; Institute for Archeological Sciences, Eberhard-Karls-University, Tuebingen 72070, Germany
| | - David Reich
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA; Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Howard Hughes Medical Institute, Harvard Medical School, Boston, MA 02115, USA.
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42
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Trends in DNA Methylation with Age Replicate Across Diverse Human Populations. Genetics 2017; 206:1659-1674. [PMID: 28533441 DOI: 10.1534/genetics.116.195594] [Citation(s) in RCA: 60] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2016] [Accepted: 05/09/2017] [Indexed: 01/31/2023] Open
Abstract
Aging is associated with widespread changes in genome-wide patterns of DNA methylation. Thousands of CpG sites whose tissue-specific methylation levels are strongly correlated with chronological age have been previously identified. However, the majority of these studies have focused primarily on cosmopolitan populations living in the developed world; it is not known if age-related patterns of DNA methylation at these loci are similar across a broad range of human genetic and ecological diversity. We investigated genome-wide methylation patterns using saliva- and whole blood-derived DNA from two traditionally hunting and gathering African populations: the Baka of the western Central African rain forest and the ≠Khomani San of the South African Kalahari Desert. We identified hundreds of CpG sites whose methylation levels are significantly associated with age, thousands that are significant in a meta-analysis, and replicate trends previously reported in populations of non-African descent. We confirmed that an age-associated site in the promoter of the gene ELOVL2 shows a remarkably congruent relationship with aging in humans, despite extensive genetic and environmental variation across populations. We also demonstrate that genotype state at methylation quantitative trait loci (meQTLs) can affect methylation trends at some age-associated CpG sites. Our study explores the relationship between CpG methylation and chronological age in populations of African hunter-gatherers, who rely on different diets across diverse ecologies. While many age-related CpG sites replicate across populations, we show that considering common genetic variation at meQTLs further improves our ability to detect previously identified age associations.
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43
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Tracing the peopling of the world through genomics. Nature 2017; 541:302-310. [PMID: 28102248 DOI: 10.1038/nature21347] [Citation(s) in RCA: 329] [Impact Index Per Article: 41.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2016] [Accepted: 12/13/2016] [Indexed: 12/13/2022]
Abstract
Advances in the sequencing and the analysis of the genomes of both modern and ancient peoples have facilitated a number of breakthroughs in our understanding of human evolutionary history. These include the discovery of interbreeding between anatomically modern humans and extinct hominins; the development of an increasingly detailed description of the complex dispersal of modern humans out of Africa and their population expansion worldwide; and the characterization of many of the genetic adaptions of humans to local environmental conditions. Our interpretation of the evolutionary history and adaptation of humans is being transformed by analyses of these new genomic data.
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44
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McManus KF, Taravella AM, Henn BM, Bustamante CD, Sikora M, Cornejo OE. Population genetic analysis of the DARC locus (Duffy) reveals adaptation from standing variation associated with malaria resistance in humans. PLoS Genet 2017; 13:e1006560. [PMID: 28282382 PMCID: PMC5365118 DOI: 10.1371/journal.pgen.1006560] [Citation(s) in RCA: 70] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2016] [Revised: 03/24/2017] [Accepted: 12/30/2016] [Indexed: 12/22/2022] Open
Abstract
The human DARC (Duffy antigen receptor for chemokines) gene encodes a membrane-bound chemokine receptor crucial for the infection of red blood cells by Plasmodium vivax, a major causative agent of malaria. Of the three major allelic classes segregating in human populations, the FY*O allele has been shown to protect against P. vivax infection and is at near fixation in sub-Saharan Africa, while FY*B and FY*A are common in Europe and Asia, respectively. Due to the combination of strong geographic differentiation and association with malaria resistance, DARC is considered a canonical example of positive selection in humans. Despite this, details of the timing and mode of selection at DARC remain poorly understood. Here, we use sequencing data from over 1,000 individuals in twenty-one human populations, as well as ancient human genomes, to perform a fine-scale investigation of the evolutionary history of DARC. We estimate the time to most recent common ancestor (TMRCA) of the most common FY*O haplotype to be 42 kya (95% CI: 34-49 kya). We infer the FY*O null mutation swept to fixation in Africa from standing variation with very low initial frequency (0.1%) and a selection coefficient of 0.043 (95% CI:0.011-0.18), which is among the strongest estimated in the human genome. We estimate the TMRCA of the FY*A mutation in non-Africans to be 57 kya (95% CI: 48-65 kya) and infer that, prior to the sweep of FY*O, all three alleles were segregating in Africa, as highly diverged populations from Asia and ≠Khomani San hunter-gatherers share the same FY*A haplotypes. We test multiple models of admixture that may account for this observation and reject recent Asian or European admixture as the cause.
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Affiliation(s)
- Kimberly F. McManus
- Department of Biology, Stanford University, Stanford, California, United States of America
| | - Angela M. Taravella
- Department of Ecology and Evolution, Stony Brook University, Stony Brook, New York, United States of America
| | - Brenna M. Henn
- Department of Ecology and Evolution, Stony Brook University, Stony Brook, New York, United States of America
| | - Carlos D. Bustamante
- Department of Biology, Stanford University, Stanford, California, United States of America
- Department of Genetics, Stanford University, Stanford, California, United States of America
| | - Martin Sikora
- Department of Genetics, Stanford University, Stanford, California, United States of America
- Centre for Geogenetics, Natural History Museum Denmark, Copenhagen, Denmark
| | - Omar E. Cornejo
- Department of Genetics, Stanford University, Stanford, California, United States of America
- Department of Biological Sciences, Washington State University, Pullman, washington, United States of America
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45
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Uren C, Möller M, van Helden PD, Henn BM, Hoal EG. Population structure and infectious disease risk in southern Africa. Mol Genet Genomics 2017; 292:499-509. [PMID: 28229227 DOI: 10.1007/s00438-017-1296-2] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2016] [Accepted: 02/01/2017] [Indexed: 02/06/2023]
Abstract
The KhoeSan populations are the earliest known indigenous inhabitants of southern Africa. The relatively recent expansion of Bantu-speaking agropastoralists, as well as European colonial settlement along the south-west coast, dramatically changed patterns of genetic diversity in a region which had been largely isolated for thousands of years. Owing to this unique history, population structure in southern Africa reflects both the underlying KhoeSan genetic diversity as well as differential recent admixture. This population structure has a wide range of biomedical and sociocultural implications; such as changes in disease risk profiles. Here, we consolidate information from various population genetic studies that characterize admixture patterns in southern Africa with an aim to better understand differences in adverse disease phenotypes observed among groups. Our review confirms that ancestry has a direct impact on an individual's immune response to infectious diseases. In addition, we emphasize the importance of collaborative research, especially for populations in southern Africa that have a high incidence of potentially fatal infectious diseases such as HIV and tuberculosis.
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Affiliation(s)
- Caitlin Uren
- SA MRC Centre for TB Research, DST/NRF Centre of Excellence for Biomedical Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medical and Health Sciences, Stellenbosch University, Tygerberg, Parow, 7500, South Africa
| | - Marlo Möller
- SA MRC Centre for TB Research, DST/NRF Centre of Excellence for Biomedical Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medical and Health Sciences, Stellenbosch University, Tygerberg, Parow, 7500, South Africa
| | - Paul D van Helden
- SA MRC Centre for TB Research, DST/NRF Centre of Excellence for Biomedical Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medical and Health Sciences, Stellenbosch University, Tygerberg, Parow, 7500, South Africa
| | - Brenna M Henn
- Department of Ecology and Evolution, Stony Brook University, Stony Brook, NY, 11794, USA
| | - Eileen G Hoal
- SA MRC Centre for TB Research, DST/NRF Centre of Excellence for Biomedical Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medical and Health Sciences, Stellenbosch University, Tygerberg, Parow, 7500, South Africa.
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Huybregts MACR. Phonemic clicks and the mapping asymmetry: How language emerged and speech developed. Neurosci Biobehav Rev 2017; 81:279-294. [PMID: 28161511 DOI: 10.1016/j.neubiorev.2017.01.041] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2016] [Revised: 01/26/2017] [Accepted: 01/27/2017] [Indexed: 01/01/2023]
Abstract
Language existed before human populations became separated (all descendant populations have language) but language did not emerge until long after these population divergences occurred (behavioral modernity only showed then). Distinguishing capacity for language from externalized language resolves the apparent paradox, eliminates the need of proto-language, and rules out monogenesis. Speech emerged only after the capacity for language became (sufficiently) fixated in the species. This accords well with a fundamental property of human language. Rules mapping to meaning rely on structural properties only, while rules mapping to sound are (also) sensitive to linear order, reflecting properties of sensorimotor modalities. The asymmetry suggests (i) primacy of internal language over speech/sign, and (ii) evolution of capacity of language preceding externalized language. Click phonemes with their unique geneological, genetic and geographical distribution may be relevant here. All biologically Khoisan groups speak click languages, which are spoken by biologically Khoisan groups only. Separation followed possession of internal language but preceded externalized language. Clicks were recruited for externalization in San populations only after deepest separation.
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Affiliation(s)
- M A C Riny Huybregts
- Utrecht Institute of Linguistics, Utrecht University, Trans 10, 3512 JK Utrecht, The Netherlands.
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Nielsen R, Akey JM, Jakobsson M, Pritchard JK, Tishkoff S, Willerslev E. Tracing the peopling of the world through genomics. Nature 2017; 541. [PMID: 28102248 PMCID: PMC5772775 DOI: 10.1038/nature21347;pmid:28102248] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/01/2023]
Abstract
Advances in the sequencing and the analysis of the genomes of both modern and ancient peoples have facilitated a number of breakthroughs in our understanding of human evolutionary history. These include the discovery of interbreeding between anatomically modern humans and extinct hominins; the development of an increasingly detailed description of the complex dispersal of modern humans out of Africa and their population expansion worldwide; and the characterization of many of the genetic adaptions of humans to local environmental conditions. Our interpretation of the evolutionary history and adaptation of humans is being transformed by analyses of these new genomic data.
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Affiliation(s)
- Rasmus Nielsen
- Department of Integrative Biology, University of California, Berkeley, Berkeley, California 94720, USA
- Department of Statistics, University of California, Berkeley, Berkeley, California 942720, USA
- Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, 1350 Copenhagen K, Denmark
| | - Joshua M Akey
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195-5065, USA
| | - Mattias Jakobsson
- Department of Organismal Biology, Uppsala University, 752 36 Uppsala, Sweden
| | - Jonathan K Pritchard
- Department of Genetics, Stanford University, Stanford, California 94305, USA
- Department of Biology, Stanford University, Stanford, California 94305, USA
- Howard Hughes Medical Institute, Stanford University, Stanford, California 94305, USA
| | - Sarah Tishkoff
- Department of Genetics, University of Pennsylvania, Pennsylvania 19104, USA
- Department of Biology, University of Pennsylvania, Pennsylvania 19104, USA
| | - Eske Willerslev
- Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, 1350 Copenhagen K, Denmark
- Department of Zoology, University of Cambridge, Cambridge CB2 3EJ, UK
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
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Beltrame MH, Rubel MA, Tishkoff SA. Inferences of African evolutionary history from genomic data. Curr Opin Genet Dev 2016; 41:159-166. [PMID: 27810637 PMCID: PMC5161638 DOI: 10.1016/j.gde.2016.10.002] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2016] [Revised: 09/29/2016] [Accepted: 10/07/2016] [Indexed: 01/22/2023]
Abstract
Africa is the origin of anatomically modern humans and a continent of linguistic, cultural, environmental, phenotypic, and genetic diversity. However, African populations remain underrepresented in genetic studies, which have largely focused on individuals with European and Asian ancestry. The expansion of high-throughput 'omic' technologies to interrogate multiple tissue types across many biomolecules-DNA, proteins, epigenetic modifications, metabolites, and others-has heralded a new era of investigation into African history. In this review, we summarize how some of these recent advances have been applied to contemporary sub-Saharan African populations to inform studies on human origins and adaptation.
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Affiliation(s)
- Marcia Holsbach Beltrame
- Department of Genetics, School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Meagan A Rubel
- Department of Anthropology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Sarah A Tishkoff
- Department of Genetics, School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Biology, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA 19104, USA.
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Hemmings SMJ, Martin LI, van der Merwe L, Benecke R, Domschke K, Seedat S. Serotonin transporter variants play a role in anxiety sensitivity in South African adolescents. World J Biol Psychiatry 2016; 17:66-75. [PMID: 26635248 DOI: 10.3109/15622975.2015.1102324] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
OBJECTIVES Anxiety sensitivity (AS) has predictive potential for the development of anxiety disorders. We investigated the role that gene-environment (G × E) interactions, focussing on childhood trauma (CT) and selected SLC6A4 variants, play in modulating levels of AS in a South African adolescent population. METHODS All adolescents (n = 951) completed measures for AS and CT. Six SLC6A4 polymorphisms were genotyped. G × E influences on AS levels were assessed using multiple linear regression models. Relevant confounders were included in all analyses. RESULTS Xhosa (n = 634) and Coloured (n = 317) participants were analysed independently of one another. The 5-HTTLPR-rs25531 L-G haplotype associated with reduced AS among Xhosa adolescents (P = 0.010). In addition, the rs1042173 CC-genotype protected against increased levels of AS in Xhosa participants who had experienced increased levels of CT (P = 0.038). Coloured males homozygous for the S-allele had significantly increased levels of AS compared to Coloured males with at least one L-allele (P = 0.016). CONCLUSIONS This is the first study to be conducted on AS in adolescents from two ethnically diverse populations. Results indicate that the L-G haplotype confers protection against high AS levels in a Xhosa population. Furthermore, increased CT was found to protect against high levels of AS in Xhosa rs1042173 CC-carriers.
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Affiliation(s)
- Sian M J Hemmings
- a Department of Psychiatry, Faculty of Medicine and Health Sciences , Stellenbosch University , Tygerberg , South Africa
| | - Lindi I Martin
- a Department of Psychiatry, Faculty of Medicine and Health Sciences , Stellenbosch University , Tygerberg , South Africa
| | - Lize van der Merwe
- b Department of Statistics , University of the Western Cape , Bellville , South Africa
| | - Rohan Benecke
- c Department of Biomedical Sciences, Faculty of Medicine and Health Sciences , Stellenbosch University , Tygerberg , South Africa
| | - Katharina Domschke
- d Department of Psychiatry , University of Wuerzburg , Wuerzburg , Germany
| | - Soraya Seedat
- a Department of Psychiatry, Faculty of Medicine and Health Sciences , Stellenbosch University , Tygerberg , South Africa
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50
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Mallick S, Li H, Lipson M, Mathieson I, Gymrek M, Racimo F, Zhao M, Chennagiri N, Nordenfelt S, Tandon A, Skoglund P, Lazaridis I, Sankararaman S, Fu Q, Rohland N, Renaud G, Erlich Y, Willems T, Gallo C, Spence JP, Song YS, Poletti G, Balloux F, van Driem G, de Knijff P, Romero IG, Jha AR, Behar DM, Bravi CM, Capelli C, Hervig T, Moreno-Estrada A, Posukh OL, Balanovska E, Balanovsky O, Karachanak-Yankova S, Sahakyan H, Toncheva D, Yepiskoposyan L, Tyler-Smith C, Xue Y, Abdullah MS, Ruiz-Linares A, Beall CM, Di Rienzo A, Jeong C, Starikovskaya EB, Metspalu E, Parik J, Villems R, Henn BM, Hodoglugil U, Mahley R, Sajantila A, Stamatoyannopoulos G, Wee JTS, Khusainova R, Khusnutdinova E, Litvinov S, Ayodo G, Comas D, Hammer MF, Kivisild T, Klitz W, Winkler CA, Labuda D, Bamshad M, Jorde LB, Tishkoff SA, Watkins WS, Metspalu M, Dryomov S, Sukernik R, Singh L, Thangaraj K, Pääbo S, Kelso J, Patterson N, Reich D. The Simons Genome Diversity Project: 300 genomes from 142 diverse populations. Nature 2016; 538:201-206. [PMID: 27654912 PMCID: PMC5161557 DOI: 10.1038/nature18964] [Citation(s) in RCA: 890] [Impact Index Per Article: 98.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2015] [Accepted: 06/23/2016] [Indexed: 02/06/2023]
Abstract
Here we report the Simons Genome Diversity Project data set: high quality genomes from 300 individuals from 142 diverse populations. These genomes include at least 5.8 million base pairs that are not present in the human reference genome. Our analysis reveals key features of the landscape of human genome variation, including that the rate of accumulation of mutations has accelerated by about 5% in non-Africans compared to Africans since divergence. We show that the ancestors of some pairs of present-day human populations were substantially separated by 100,000 years ago, well before the archaeologically attested onset of behavioural modernity. We also demonstrate that indigenous Australians, New Guineans and Andamanese do not derive substantial ancestry from an early dispersal of modern humans; instead, their modern human ancestry is consistent with coming from the same source as that of other non-Africans.
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Affiliation(s)
- Swapan Mallick
- Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Heng Li
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA
| | - Mark Lipson
- Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Iain Mathieson
- Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Melissa Gymrek
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA
- Whitehead Institute for Biomedical Research, Cambridge, Massachusetts 02142, USA
- Harvard-MIT Division of Health Sciences and Technology, MIT, Cambridge, Massachusetts 02139, USA
- New York Genome Center, New York, New York 10013, USA
| | - Fernando Racimo
- Department of Integrative Biology, University of California, Berkeley, California 94720-3140, USA
| | - Mengyao Zhao
- Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Niru Chennagiri
- Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Susanne Nordenfelt
- Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Arti Tandon
- Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA
| | - Pontus Skoglund
- Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA
| | - Iosif Lazaridis
- Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA
| | - Sriram Sankararaman
- Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA
| | - Qiaomei Fu
- Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA
- Key Laboratory of Vertebrate Evolution and Human Origins of Chinese Academy of Sciences, IVPP, CAS, Beijing 100044, China
| | - Nadin Rohland
- Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA
| | - Gabriel Renaud
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, D-04103 Leipzig, Germany
| | - Yaniv Erlich
- New York Genome Center, New York, New York 10013, USA
- Department of Computer Science, Columbia University, New York, New York 10027, USA
- Center for Computational Biology and Bioinformatics, Columbia University, New York, New York 10032, USA
| | - Thomas Willems
- New York Genome Center, New York, New York 10013, USA
- Computational and Systems Biology Program, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - Carla Gallo
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima 15102, Perú
| | - Jeffrey P Spence
- Computational Biology Graduate Group, University of California, Berkeley, California 94720, USA
| | - Yun S Song
- Computer Science Division, University of California, Berkeley, California 94720, USA
- Department of Statistics, University of California, Berkeley, California 94720, USA
- Department of Mathematics and Department of Biology, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Giovanni Poletti
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima 15102, Perú
| | - Francois Balloux
- Genetics Institute, University College London, Gower Street, London WC1E 6BT, UK
| | - George van Driem
- Institute of Linguistics, University of Bern, Bern CH-3012, Switzerland
| | - Peter de Knijff
- Department of Human and Clinical Genetics, Postzone S5-P, Leiden University Medical Center, 2333 ZA Leiden, Netherlands
| | - Irene Gallego Romero
- School of Biological Sciences, Nanyang Technological University, 637551 Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, 636921 Singapore
| | - Aashish R Jha
- Department of Human Genetics, University of Chicago, Chicago, Illinois 60637, USA
| | - Doron M Behar
- Estonian Biocentre, Evolutionary Biology group, Tartu 51010, Estonia
| | - Claudio M Bravi
- Laboratorio de Genética Molecular Poblacional, Instituto Multidisciplinario de Biología Celular (IMBICE), CCT-CONICET La Plata/CIC Buenos Aires/Universidad Nacional de La Plata, La Plata B1906APO, Argentina
| | | | - Tor Hervig
- Department of Clinical Science, University of Bergen, Bergen 5021, Norway
| | - Andres Moreno-Estrada
- National Laboratory of Genomics for Biodiversity (LANGEBIO), CINVESTAV, Irapuato, Guanajuato 36821, Mexico
| | - Olga L Posukh
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, Novosibirsk 630090, Russia
- Novosibirsk State University, Novosibirsk 630090, Russia
| | | | - Oleg Balanovsky
- Research Centre for Medical Genetics, Moscow 115478, Russia
- Vavilov Institute for General Genetics, Moscow 119991, Russia
- Moscow Institute for Physics and Technology, Dolgoprudniy 141700, Russia
| | - Sena Karachanak-Yankova
- Department of Medical Genetics, National Human Genome Center, Medical University Sofia, Sofia 1431, Bulgaria
| | - Hovhannes Sahakyan
- Estonian Biocentre, Evolutionary Biology group, Tartu 51010, Estonia
- Laboratory of Ethnogenomics, Institute of Molecular Biology, National Academy of Sciences of Armenia, Yerevan 0014, Armenia
| | - Draga Toncheva
- Department of Medical Genetics, National Human Genome Center, Medical University Sofia, Sofia 1431, Bulgaria
| | - Levon Yepiskoposyan
- Laboratory of Ethnogenomics, Institute of Molecular Biology, National Academy of Sciences of Armenia, Yerevan 0014, Armenia
| | - Chris Tyler-Smith
- The Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK
| | - Yali Xue
- The Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK
| | | | - Andres Ruiz-Linares
- Department of Genetics, Evolution and Environment, University College London WC1E 6BT, UK
| | - Cynthia M Beall
- Department of Anthropology, Case Western Reserve University, Cleveland, Ohio 44106-7125, USA
| | - Anna Di Rienzo
- Department of Human Genetics, University of Chicago, Chicago, Illinois 60637, USA
| | - Choongwon Jeong
- Department of Human Genetics, University of Chicago, Chicago, Illinois 60637, USA
| | - Elena B Starikovskaya
- Laboratory of Human Molecular Genetics, Institute of Molecular and Cellular Biology, Siberian Branch of Russian Academy of Sciences, Novosibirsk 630090, Russia
| | - Ene Metspalu
- Estonian Biocentre, Evolutionary Biology group, Tartu 51010, Estonia
- Department of Evolutionary Biology, University of Tartu, Tartu 51010, Estonia
| | - Jüri Parik
- Estonian Biocentre, Evolutionary Biology group, Tartu 51010, Estonia
| | - Richard Villems
- Estonian Biocentre, Evolutionary Biology group, Tartu 51010, Estonia
- Department of Evolutionary Biology, University of Tartu, Tartu 51010, Estonia
- Estonian Academy of Sciences, Tallinn 10130, Estonia
| | - Brenna M Henn
- Department of Ecology and Evolution, Stony Brook University, Stony Brook, New York 11794, USA
| | | | - Robert Mahley
- Gladstone Institutes, San Francisco, California 94158, USA
| | - Antti Sajantila
- Department of Forensic Medicine, University of Helsinki, Helsinki 00014, Finland
| | - George Stamatoyannopoulos
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, Washington 98195, USA
| | | | - Rita Khusainova
- Institute of Biochemistry and Genetics, Ufa Research Centre, Russian Academy of Sciences, Ufa 450054, Russia
- Department of Genetics and Fundamental Medicine, Bashkir State University, Ufa 450074, Russia
| | - Elza Khusnutdinova
- Institute of Biochemistry and Genetics, Ufa Research Centre, Russian Academy of Sciences, Ufa 450054, Russia
- Department of Genetics and Fundamental Medicine, Bashkir State University, Ufa 450074, Russia
| | - Sergey Litvinov
- Estonian Biocentre, Evolutionary Biology group, Tartu 51010, Estonia
- Institute of Biochemistry and Genetics, Ufa Research Centre, Russian Academy of Sciences, Ufa 450054, Russia
- Department of Genetics and Fundamental Medicine, Bashkir State University, Ufa 450074, Russia
| | - George Ayodo
- Jaramogi Oginga Odinga University of Science and Technology, Bondo 40601, Kenya
| | - David Comas
- Institut de Biologia Evolutiva (CSIC-UPF), Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona 08003, Spain
| | - Michael F Hammer
- ARL Division of Biotechnology, University of Arizona, Tucson, Arizona 85721, USA
| | - Toomas Kivisild
- Estonian Biocentre, Evolutionary Biology group, Tartu 51010, Estonia
- Division of Biological Anthropology, University of Cambridge, Fitzwilliam Street, Cambridge CB2 1QH, UK
| | - William Klitz
- New York Genome Center, New York, New York 10013, USA
| | - Cheryl A Winkler
- Basic Research Laboratory, Center for Cancer Research, NCI, Leidos Biomedical Research, Inc., Frederick National Laboratory, Frederick, Maryland 21702, USA
| | - Damian Labuda
- CHU Sainte-Justine, Pediatrics Departement, Université de Montréal, Québec H3T 1C5, Canada
| | - Michael Bamshad
- Department of Pediatrics, University of Washington, Seattle, Washington 98119, USA
| | - Lynn B Jorde
- Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, Utah 84112, USA
| | - Sarah A Tishkoff
- Departments of Genetics and Biology, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - W Scott Watkins
- Department of Human Genetics, Eccles Institute of Human Genetics, University of Utah, Salt Lake City, Utah 84112, USA
| | - Mait Metspalu
- Estonian Biocentre, Evolutionary Biology group, Tartu 51010, Estonia
| | - Stanislav Dryomov
- Laboratory of Human Molecular Genetics, Institute of Molecular and Cellular Biology, Siberian Branch of Russian Academy of Sciences, Novosibirsk 630090, Russia
- Department of Paleolithic Archaeology, Institute of Archaeology and Ethnography, Siberian Branch of Russian Academy of Sciences, Novosibirsk 630090, Russia
| | - Rem Sukernik
- Laboratory of Human Molecular Genetics, Institute of Molecular and Cellular Biology, Siberian Branch of Russian Academy of Sciences, Novosibirsk 630090, Russia
- Altai State University, Barnaul 656000, Russia
| | - Lalji Singh
- CSIR-Centre for Cellular and Molecular Biology, Hyderabad 500 007, India
| | | | - Svante Pääbo
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, D-04103 Leipzig, Germany
| | - Janet Kelso
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, D-04103 Leipzig, Germany
| | - Nick Patterson
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA
| | - David Reich
- Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, Massachusetts 02115, USA
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