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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) 2024. [PMID: 39118368 DOI: 10.1002/ar.25556] [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: 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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2
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Padilla-Iglesias C, Blanco-Portillo J, Pricop B, Ioannidis AG, Bickel B, Manica A, Vinicius L, Migliano AB. Deep history of cultural and linguistic evolution among Central African hunter-gatherers. Nat Hum Behav 2024; 8:1263-1275. [PMID: 38802540 PMCID: PMC11272592 DOI: 10.1038/s41562-024-01891-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Accepted: 04/18/2024] [Indexed: 05/29/2024]
Abstract
Human evolutionary history in Central Africa reflects a deep history of population connectivity. However, Central African hunter-gatherers (CAHGs) currently speak languages acquired from their neighbouring farmers. Hence it remains unclear which aspects of CAHG cultural diversity results from long-term evolution preceding agriculture and which reflect borrowing from farmers. On the basis of musical instruments, foraging tools, specialized vocabulary and genome-wide data from ten CAHG populations, we reveal evidence of large-scale cultural interconnectivity among CAHGs before and after the Bantu expansion. We also show that the distribution of hunter-gatherer musical instruments correlates with the oldest genomic segments in our sample predating farming. Music-related words are widely shared between western and eastern groups and likely precede the borrowing of Bantu languages. In contrast, subsistence tools are less frequently exchanged and may result from adaptation to local ecologies. We conclude that CAHG material culture and specialized lexicon reflect a long evolutionary history in Central Africa.
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Affiliation(s)
- Cecilia Padilla-Iglesias
- Human Evolutionary Ecology Group, Institute of Evolutionary Anthropology, University of Zurich, Zurich, Switzerland.
| | | | - Bogdan Pricop
- Department of Comparative Language Science, University of Zurich, Zurich, Switzerland
| | | | - Balthasar Bickel
- Department of Comparative Language Science, University of Zurich, Zurich, Switzerland
- Center for the Interdisciplinary Study of Language Evolution, University of Zurich, Zurich, Switzerland
| | - Andrea Manica
- Department of Zoology, University of Cambridge, Cambridge, UK
| | - Lucio Vinicius
- Human Evolutionary Ecology Group, Institute of Evolutionary Anthropology, University of Zurich, Zurich, Switzerland
| | - Andrea Bamberg Migliano
- Human Evolutionary Ecology Group, Institute of Evolutionary Anthropology, University of Zurich, Zurich, Switzerland.
- Center for the Interdisciplinary Study of Language Evolution, University of Zurich, Zurich, Switzerland.
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3
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Goldstein ST, Mueller NG, Janzen A, Ogola C, Dal Martello R, Fernandes R, Li S, Iminjili V, Juengst S, Odera Otwani A, Sawchuk EA, Wang K, Ndiema E, Boivin N. Early agriculture and crop transitions at Kakapel Rockshelter in the Lake Victoria region of eastern Africa. Proc Biol Sci 2024; 291:20232747. [PMID: 38981530 DOI: 10.1098/rspb.2023.2747] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Accepted: 06/17/2024] [Indexed: 07/11/2024] Open
Abstract
The histories of African crops remain poorly understood despite their contemporary importance. Integration of crops from western, eastern and northern Africa probably first occurred in the Great Lakes Region of eastern Africa; however, little is known about when and how these agricultural systems coalesced. This article presents archaeobotanical analyses from an approximately 9000-year archaeological sequence at Kakapel Rockshelter in western Kenya, comprising the largest and most extensively dated archaeobotanical record from the interior of equatorial eastern Africa. Direct radiocarbon dates on carbonized seeds document the presence of the West African crop cowpea (Vigna unguiculata (L.) Walp) approximately 2300 years ago, synchronic with the earliest date for domesticated cattle (Bos taurus). Peas (Pisum sativum L. or Pisum abyssinicum A. Braun) and sorghum (Sorghum bicolor (L.) Moench) from the northeast and eastern African finger millet (Eleusine coracana (L.) Gaertn.) are incorporated later, by at least 1000 years ago. Combined with ancient DNA evidence from Kakapel and the surrounding region, these data support a scenario in which the use of diverse domesticated species in eastern Africa changed over time rather than arriving and being maintained as a single package. Findings highlight the importance of local heterogeneity in shaping the spread of food production in sub-Saharan Africa.
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Affiliation(s)
- Steven T Goldstein
- Department of Anthropology, University of Pittsburgh, WWPH 3302, S. Bouquet St , Pittsburgh, PA 15260, USA
| | - Natalie G Mueller
- Department of Anthropology, Washington University in St. Louis, McMillan Hall, 1 Brookings Dr , Saint Louis, MO 63130, USA
| | - Anneke Janzen
- Department of Anthropology, University of Tennessee , Knoxville, TN, USA
| | - Christine Ogola
- Department of Archaeology, National Museums of Kenya , Nairobi, Kenya
| | - Rita Dal Martello
- Department of Asian and North African Studies, Ca'Foscari University of Venice , Venice, Italy
| | - Ricardo Fernandes
- Department of Archaeology, Max Planck Institute of Geoanthropology , Jena, Germany
- Faculty of Archaeology, University of Warsaw , Warsaw, Poland
- Faculty of Arts, Masaryk University , Brno, Czech Republic
- School of Archaeology, Climate Change and History Research Initiative, Princeton University , Princeton, NJ 08544, USA
| | - Sophia Li
- Department of Anthropology, Washington University in St. Louis, McMillan Hall, 1 Brookings Dr , Saint Louis, MO 63130, USA
| | - Victor Iminjili
- Department of Archaeology, Max Planck Institute of Geoanthropology , Jena, Germany
| | - Sara Juengst
- Department of Anthropology, University of North Carolina at Charlotte , Charlotte, NC, USA
| | | | - Elizabeth A Sawchuk
- Cleveland Museum of Natural History , Cleveland, OH, USA
- Department of Anthropology, Stony Brook University , Stony Brook, NY, USA
| | - Ke Wang
- School of Life Sciences, Fudan University , Shanghai, People's Republic of China
| | - Emmanuel Ndiema
- Department of Earth Sciences, National Museums of Kenya , Nairobi, Kenya
| | - Nicole Boivin
- Department of Archaeology, Max Planck Institute of Geoanthropology , Jena, Germany
- School of Social Science, University of Queensland , Brisbane, Australia
- Griffith Sciences, Griffith University , Brisbane, Australia
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4
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Vilà-Valls L, Abdeli A, Lucas-Sánchez M, Bekada A, Calafell F, Benhassine T, Comas D. Understanding the genomic heterogeneity of North African Imazighen: from broad to microgeographical perspectives. Sci Rep 2024; 14:9979. [PMID: 38693301 PMCID: PMC11063056 DOI: 10.1038/s41598-024-60568-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Accepted: 04/24/2024] [Indexed: 05/03/2024] Open
Abstract
The strategic location of North Africa has led to cultural and demographic shifts, shaping its genetic structure. Historical migrations brought different genetic components that are evident in present-day North African genomes, along with autochthonous components. The Imazighen (plural of Amazigh) are believed to be the descendants of autochthonous North Africans and speak various Amazigh languages, which belong to the Afro-Asiatic language family. However, the arrival of different human groups, especially during the Arab conquest, caused cultural and linguistic changes in local populations, increasing their heterogeneity. We aim to characterize the genetic structure of the region, using the largest Amazigh dataset to date and other reference samples. Our findings indicate microgeographical genetic heterogeneity among Amazigh populations, modeled by various admixture waves and different effective population sizes. A first admixture wave is detected group-wide around the twelfth century, whereas a second wave appears in some Amazigh groups around the nineteenth century. These events involved populations with higher genetic ancestry from south of the Sahara compared to the current North Africans. A plausible explanation would be the historical trans-Saharan slave trade, which lasted from the Roman times to the nineteenth century. Furthermore, our investigation shows that assortative mating in North Africa has been rare.
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Affiliation(s)
- Laura Vilà-Valls
- Departament de Medicina i Ciències de la Vida, Institut de Biologia Evolutiva (CSIC-UPF), Universitat Pompeu Fabra, Barcelona, Spain
| | - Amine Abdeli
- Laboratoire de Biologie Cellulaire et Moléculaire, Faculté Des Sciences Biologiques, Université des Sciences et de la Technologie Houari Boumediene, Alger, Algeria
| | - Marcel Lucas-Sánchez
- Departament de Medicina i Ciències de la Vida, Institut de Biologia Evolutiva (CSIC-UPF), Universitat Pompeu Fabra, Barcelona, Spain
| | - Asmahan Bekada
- Département de Biotechnologie, Faculté des Sciences de la Nature et de la Vie, Université Oran 1 (Ahmad Ben Bella), Oran, Algeria
| | - Francesc Calafell
- Departament de Medicina i Ciències de la Vida, Institut de Biologia Evolutiva (CSIC-UPF), Universitat Pompeu Fabra, Barcelona, Spain
| | - Traki Benhassine
- Laboratoire de Biologie Cellulaire et Moléculaire, Faculté Des Sciences Biologiques, Université des Sciences et de la Technologie Houari Boumediene, Alger, Algeria
| | - David Comas
- Departament de Medicina i Ciències de la Vida, Institut de Biologia Evolutiva (CSIC-UPF), Universitat Pompeu Fabra, Barcelona, Spain.
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5
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Sirak K, Jansen Van Rensburg J, Brielle E, Chen B, Lazaridis I, Ringbauer H, Mah M, Mallick S, Micco A, Rohland N, Callan K, Curtis E, Kearns A, Lawson AM, Workman JN, Zalzala F, Ahmed Al-Orqbi AS, Ahmed Salem EM, Salem Hasan AM, Britton DC, Reich D. Medieval DNA from Soqotra points to Eurasian origins of an isolated population at the crossroads of Africa and Arabia. Nat Ecol Evol 2024; 8:817-829. [PMID: 38332026 PMCID: PMC11009077 DOI: 10.1038/s41559-024-02322-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Accepted: 12/11/2023] [Indexed: 02/10/2024]
Abstract
Soqotra, an island situated at the mouth of the Gulf of Aden in the northwest Indian Ocean between Africa and Arabia, is home to ~60,000 people subsisting through fishing and semi-nomadic pastoralism who speak a Modern South Arabian language. Most of what is known about Soqotri history derives from writings of foreign travellers who provided little detail about local people, and the geographic origins and genetic affinities of early Soqotri people has not yet been investigated directly. Here we report genome-wide data from 39 individuals who lived between ~650 and 1750 CE at six locations across the island and document strong genetic connections between Soqotra and the similarly isolated Hadramawt region of coastal South Arabia that likely reflects a source for the peopling of Soqotra. Medieval Soqotri can be modelled as deriving ~86% of their ancestry from a population such as that found in the Hadramawt today, with the remaining ~14% best proxied by an Iranian-related source with up to 2% ancestry from the Indian sub-continent, possibly reflecting genetic exchanges that occurred along with archaeologically documented trade from these regions. In contrast to all other genotyped populations of the Arabian Peninsula, genome-level analysis of the medieval Soqotri is consistent with no sub-Saharan African admixture dating to the Holocene. The deep ancestry of people from medieval Soqotra and the Hadramawt is also unique in deriving less from early Holocene Levantine farmers and more from groups such as Late Pleistocene hunter-gatherers from the Levant (Natufians) than other mainland Arabians. This attests to migrations by early farmers having less impact in southernmost Arabia and Soqotra and provides compelling evidence that there has not been complete population replacement between the Pleistocene and Holocene throughout the Arabian Peninsula. Medieval Soqotra harboured a small population that showed qualitatively different marriage practices from modern Soqotri, with first-cousin unions occurring significantly less frequently than today.
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Affiliation(s)
- Kendra Sirak
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA.
- Department of Genetics, Harvard Medical School, Boston, MA, USA.
| | | | - Esther Brielle
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Bowen Chen
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
| | - Iosif Lazaridis
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Harald Ringbauer
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Matthew Mah
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Swapan Mallick
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Adam Micco
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
| | - Nadin Rohland
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Kimberly Callan
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
| | - Elizabeth Curtis
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
| | - Aisling Kearns
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
| | - Ann Marie Lawson
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
| | - J Noah Workman
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
| | - Fatma Zalzala
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
| | | | | | | | | | - David Reich
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
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6
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Shah Y, Kulm S, Nauseef JT, Chen Z, Elemento O, Kensler KH, Sharaf RN. Benchmarking multi-ancestry prostate cancer polygenic risk scores in a real-world cohort. PLoS Comput Biol 2024; 20:e1011990. [PMID: 38598551 PMCID: PMC11034641 DOI: 10.1371/journal.pcbi.1011990] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 04/22/2024] [Accepted: 03/11/2024] [Indexed: 04/12/2024] Open
Abstract
Prostate cancer is a heritable disease with ancestry-biased incidence and mortality. Polygenic risk scores (PRSs) offer promising advancements in predicting disease risk, including prostate cancer. While their accuracy continues to improve, research aimed at enhancing their effectiveness within African and Asian populations remains key for equitable use. Recent algorithmic developments for PRS derivation have resulted in improved pan-ancestral risk prediction for several diseases. In this study, we benchmark the predictive power of six widely used PRS derivation algorithms, including four of which adjust for ancestry, against prostate cancer cases and controls from the UK Biobank and All of Us cohorts. We find modest improvement in discriminatory ability when compared with a simple method that prioritizes variants, clumping, and published polygenic risk scores. Our findings underscore the importance of improving upon risk prediction algorithms and the sampling of diverse cohorts.
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Affiliation(s)
- Yajas Shah
- Englander Institute for Precision Medicine, Weill Cornell Medicine, New York City, New York, United States of America
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York City, New York, United States of America
| | - Scott Kulm
- Englander Institute for Precision Medicine, Weill Cornell Medicine, New York City, New York, United States of America
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York City, New York, United States of America
| | - Jones T. Nauseef
- Englander Institute for Precision Medicine, Weill Cornell Medicine, New York City, New York, United States of America
- Department of Medicine—Hematology and Medical Oncology, Weill Cornell Medicine, New York City, New York, United States of America
| | - Zhengming Chen
- Department of Population Health Sciences, Weill Cornell Medicine, New York City, New York, United States of America
| | - Olivier Elemento
- Englander Institute for Precision Medicine, Weill Cornell Medicine, New York City, New York, United States of America
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York City, New York, United States of America
| | - Kevin H. Kensler
- Department of Population Health Sciences, Weill Cornell Medicine, New York City, New York, United States of America
| | - Ravi N. Sharaf
- Englander Institute for Precision Medicine, Weill Cornell Medicine, New York City, New York, United States of America
- Department of Population Health Sciences, Weill Cornell Medicine, New York City, New York, United States of America
- Department of Medicine–Gastroenterology and Hepatology, Weill Cornell Medicine, New York City, New York, United States of America
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7
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Ndiaye M, Lespez L, Tribolo C, Rasse M, Hadjas I, Davidoux S, Huysecom É, Douze K. Two new Later Stone Age sites from the Final Pleistocene in the Falémé Valley, eastern Senegal. PLoS One 2024; 19:e0294346. [PMID: 38547134 PMCID: PMC10977785 DOI: 10.1371/journal.pone.0294346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 10/31/2023] [Indexed: 04/02/2024] Open
Abstract
The understanding of cultural dynamics at work at the end of the Final Pleistocene in West Africa suffers from a significant lack of excavated and dated sites, particularly in the Sahelian and Sudanian ecozones. While the Later Stone Age shows varied behavioral developments in different parts of the continent, the chrono-cultural framework of this period remains largely unknown in West Africa. We report on archaeological, geomorphological, and chronological research on two Final Pleistocene Later Stone Age sites in the Falémé Valley, eastern Senegal. Optically stimulated luminescence ages place the site of Toumboura I-2017 between 17 ± 1 and 16 ± 1 ka and the Ravin de Sansandé site between 13 ± 1 ka and 12 ± 1.1 ka. The excavated lithics show typical Later Stone Age industries, characterized by chaînes opératoires of core reduction mainly producing flakes and bladelets as well as blades and laminar flakes. Segments dominate the toolkits but a few backed bladelets and end-scrapers on flake blanks were recognized. Local raw materials were used, with a preference for chert and quartz, as well as greywacke. These Later Stone Age lithic assemblages are the oldest known in Senegal so far and add to the small number of sites known in West Africa for this period, which are mainly located farther south, in sub-tropical ecozones. The Later Stone Age sites of the Falémé Valley are contemporaneous with typical Middle Stone Age technologies in Senegal dated to at least the Pleistocene/Holocene transition. Our results thus provide new archaeological evidence highlighting the complex cultural processes at work during the Final Pleistocene in West Africa.
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Affiliation(s)
- Matar Ndiaye
- Department of Human Sciences, Laboratory of Prehistory and Protohistory, Institut Fondamental d’Afrique Noire (IFAN), University of Cheikh Anta Diop, Dakar, Senegal
| | - Laurent Lespez
- Department of Geography, Laboratory of Physical Geography (LGP), CNRS-UMR 8591, University Paris-Est Creteil, Meudon, France
| | - Chantal Tribolo
- Department of Archaeosciences Bordeaux, University Bordeaux-Montaigne, Pessac, France
| | - Michel Rasse
- Department of Geography, Maison de l’Orient et de la Méditerranée (ARCHÉORIENT), University Lumière - Lyon II, Lyon, France
| | - Irka Hadjas
- Laboratory of Ion Beam Physics (LIP), ETH-Zürich, Zürich, Switzerland
| | - Sarah Davidoux
- Department of Geography, Laboratory of Physical Geography (LGP), CNRS-UMR 8591, University Paris-Est Creteil, Meudon, France
| | - Éric Huysecom
- Laboratory of Archaeology of Africa & Anthropology (ARCAN), University of Geneva, Genève, Switzerland
| | - Katja Douze
- Laboratory of Archaeology of Africa & Anthropology (ARCAN), University of Geneva, Genève, Switzerland
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8
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Xu L, Zhou K, Huang X, Chen H, Dong H, Chen Q. Whole-genome resequencing provides insights into the diversity and adaptation to desert environment in Xinjiang Mongolian cattle. BMC Genomics 2024; 25:176. [PMID: 38355434 PMCID: PMC10865613 DOI: 10.1186/s12864-024-10084-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Accepted: 02/02/2024] [Indexed: 02/16/2024] Open
Abstract
BACKGROUND Xinjiang Mongolian cattle is an indigenous breed that inhabits the Taklimakan Desert and is characterized by its small body size. However, the genomic diversity, origin, and genetic basis underlying the adaptation to the desert environment have been poorly studied. RESULTS We analyzed patterns of Xinjiang Mongolian cattle genetic variation by sequencing 20 genomes together with seven previously sequenced genomes and comparing them to the 134 genomes of nine representative breeds worldwide. Among the breeds of Bos taurus, we found the highest nucleotide diversity (0.0024) associated with the lower inbreeding coefficient (2.0110-6), the lowest linkage disequilibrium (r2 = 0.3889 at distance of 10 kb), and the highest effective population size (181 at 20 generations ago) in Xinjiang Mongolian cattle. The genomic diversity pattern could be explained by a limited introgression of Bos indicus genes. More importantly, similarly to desert-adapted camel and same-habitat sheep, we also identified signatures of selection including genes, GO terms, and/or KEGG pathways controlling water reabsorption and osmoregulation, metabolic regulation and energy balance, as well as small body size in Xinjiang Mongolian cattle. CONCLUSIONS Our results imply that Xinjiang Mongolian cattle might have acquired distinct genomic diversity by virtue of the introgression of Bos indicus, which helps understand the demographic history. The identification of selection signatures can provide novel insights into the genomic basis underlying the adaptation of Xinjiang Mongolian cattle to the desert environment.
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Affiliation(s)
- Lei Xu
- College of Animal Science, Xinjiang Agricultural University, Urumqi, Xinjiang, China
| | - Kaiqing Zhou
- College of Animal Science, Xinjiang Agricultural University, Urumqi, Xinjiang, China
| | - Xixia Huang
- College of Animal Science, Xinjiang Agricultural University, Urumqi, Xinjiang, China
| | - Hong Chen
- College of Animal Science, Xinjiang Agricultural University, Urumqi, Xinjiang, China
| | - Hong Dong
- Institute of Animal Science, Xinjiang Academy of Animal Science, Urumqi, Xinjiang, China.
| | - Qiuming Chen
- College of Animal Science, Xinjiang Agricultural University, Urumqi, Xinjiang, China.
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9
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Mallick S, Micco A, Mah M, Ringbauer H, Lazaridis I, Olalde I, Patterson N, Reich D. The Allen Ancient DNA Resource (AADR) a curated compendium of ancient human genomes. Sci Data 2024; 11:182. [PMID: 38341426 PMCID: PMC10858950 DOI: 10.1038/s41597-024-03031-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Accepted: 01/31/2024] [Indexed: 02/12/2024] Open
Abstract
More than two hundred papers have reported genome-wide data from ancient humans. While the raw data for the vast majority are fully publicly available testifying to the commitment of the paleogenomics community to open data, formats for both raw data and meta-data differ. There is thus a need for uniform curation and a centralized, version-controlled compendium that researchers can download, analyze, and reference. Since 2019, we have been maintaining the Allen Ancient DNA Resource (AADR), which aims to provide an up-to-date, curated version of the world's published ancient human DNA data, represented at more than a million single nucleotide polymorphisms (SNPs) at which almost all ancient individuals have been assayed. The AADR has gone through six public releases at the time of writing and review of this manuscript, and crossed the threshold of >10,000 individuals with published genome-wide ancient DNA data at the end of 2022. This note is intended as a citable descriptor of the AADR.
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Affiliation(s)
- Swapan Mallick
- Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.
- Howard Hughes Medical Institute, Boston, MA, 02115, USA.
| | - Adam Micco
- Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA
- Howard Hughes Medical Institute, Boston, MA, 02115, USA
| | - Matthew Mah
- Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA
- Howard Hughes Medical Institute, Boston, MA, 02115, USA
| | - Harald Ringbauer
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, 02138, USA
- Max Planck Institute for Evolutionary Anthropology, Leipzig, 04103, Germany
| | - Iosif Lazaridis
- Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, 02138, USA
| | - Iñigo Olalde
- Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA
- BIOMICs Research Group, University of the Basque Country, 01006, Vitoria-Gasteiz, Spain
| | - Nick Patterson
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, 02138, USA
| | - David Reich
- Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.
- Howard Hughes Medical Institute, Boston, MA, 02115, USA.
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, 02138, USA.
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10
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Silva M, Booth T, Moore J, Anastasiadou K, Walker D, Gilardet A, Barrington C, Kelly M, Williams M, Henderson M, Smith A, Bowsher D, Montgomery J, Skoglund P. An individual with Sarmatian-related ancestry in Roman Britain. Curr Biol 2024; 34:204-212.e6. [PMID: 38118448 DOI: 10.1016/j.cub.2023.11.049] [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: 07/19/2023] [Revised: 10/10/2023] [Accepted: 11/21/2023] [Indexed: 12/22/2023]
Abstract
In the second century CE the Roman Empire had increasing contact with Sarmatians, nomadic Iranian speakers occupying an area stretching from the Pontic-Caspian steppe to the Carpathian mountains, both in the Caucasus and in the Danubian borders of the empire.1,2,3 In 175 CE, following their defeat in the Marcomannic Wars, emperor Marcus Aurelius drafted Sarmatian cavalry into Roman legions and deployed 5,500 Sarmatian soldiers to Britain, as recorded by contemporary historian Cassius Dio.4,5 Little is known about where the Sarmatian cavalry were stationed, and no individuals connected with this historically attested event have been identified to date, leaving its impact on Britain largely unknown. Here we document Caucasus- and Sarmatian-related ancestry in the whole genome of a Roman-period individual (126-228 calibrated [cal.] CE)-an outlier without traceable ancestry related to local populations in Britain-recovered from a farmstead site in present-day Cambridgeshire, UK. Stable isotopes support a life history of mobility during childhood. Although several scenarios are possible, the historical deployment of Sarmatians to Britain provides a parsimonious explanation for this individual's extraordinary life history. Regardless of the factors behind his migrations, these results highlight how long-range mobility facilitated by the Roman Empire impacted provincial locations outside of urban centers.
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Affiliation(s)
- Marina Silva
- Ancient Genomics Laboratory, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK.
| | - Thomas Booth
- Ancient Genomics Laboratory, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK
| | - Joanna Moore
- Department of Archaeology, Durham University, Lower Mountjoy, South Rd, DH1 3LE, Durham, United Kingdom
| | - Kyriaki Anastasiadou
- Ancient Genomics Laboratory, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK
| | - Don Walker
- Museum of London Archaeology (MOLA), Mortimer Wheeler House, 46 Eagle Wharf Road, London N1 7ED, UK
| | - Alexandre Gilardet
- Ancient Genomics Laboratory, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK
| | - Christopher Barrington
- Bioinformatics and Biostatistics, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK
| | - Monica Kelly
- Ancient Genomics Laboratory, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK
| | - Mia Williams
- Ancient Genomics Laboratory, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK
| | - Michael Henderson
- Museum of London Archaeology (MOLA), Mortimer Wheeler House, 46 Eagle Wharf Road, London N1 7ED, UK
| | - Alex Smith
- Headland Archaeology, 13 Jane Street, Edinburgh EH6 5HE, UK
| | - David Bowsher
- Museum of London Archaeology (MOLA), Mortimer Wheeler House, 46 Eagle Wharf Road, London N1 7ED, UK
| | - Janet Montgomery
- Department of Archaeology, Durham University, Lower Mountjoy, South Rd, DH1 3LE, Durham, United Kingdom.
| | - Pontus Skoglund
- Ancient Genomics Laboratory, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK.
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11
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Fortes-Lima CA, Burgarella C, Hammarén R, Eriksson A, Vicente M, Jolly C, Semo A, Gunnink H, Pacchiarotti S, Mundeke L, Matonda I, Muluwa JK, Coutros P, Nyambe TS, Cikomola JC, Coetzee V, de Castro M, Ebbesen P, Delanghe J, Stoneking M, Barham L, Lombard M, Meyer A, Steyn M, Malmström H, Rocha J, Soodyall H, Pakendorf B, Bostoen K, Schlebusch CM. The genetic legacy of the expansion of Bantu-speaking peoples in Africa. Nature 2024; 625:540-547. [PMID: 38030719 PMCID: PMC10794141 DOI: 10.1038/s41586-023-06770-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 10/20/2023] [Indexed: 12/01/2023]
Abstract
The expansion of people speaking Bantu languages is the most dramatic demographic event in Late Holocene Africa and fundamentally reshaped the linguistic, cultural and biological landscape of the continent1-7. With a comprehensive genomic dataset, including newly generated data of modern-day and ancient DNA from previously unsampled regions in Africa, we contribute insights into this expansion that started 6,000-4,000 years ago in western Africa. We genotyped 1,763 participants, including 1,526 Bantu speakers from 147 populations across 14 African countries, and generated whole-genome sequences from 12 Late Iron Age individuals8. We show that genetic diversity amongst Bantu-speaking populations declines with distance from western Africa, with current-day Zambia and the Democratic Republic of Congo as possible crossroads of interaction. Using spatially explicit methods9 and correlating genetic, linguistic and geographical data, we provide cross-disciplinary support for a serial-founder migration model. We further show that Bantu speakers received significant gene flow from local groups in regions they expanded into. Our genetic dataset provides an exhaustive modern-day African comparative dataset for ancient DNA studies10 and will be important to a wide range of disciplines from science and humanities, as well as to the medical sector studying human genetic variation and health in African and African-descendant populations.
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Affiliation(s)
- Cesar A Fortes-Lima
- Human Evolution Program, Department of Organismal Biology, Uppsala University, Uppsala, Sweden
| | - Concetta Burgarella
- Human Evolution Program, Department of Organismal Biology, Uppsala University, Uppsala, Sweden
- AGAP Institut, University of Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France
| | - Rickard Hammarén
- Human Evolution Program, Department of Organismal Biology, Uppsala University, Uppsala, Sweden
| | - Anders Eriksson
- cGEM, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Mário Vicente
- Centre for Palaeogenetics, University of Stockholm, Stockholm, Sweden
- Department of Archaeology and Classical Studies, Stockholm University, Stockholm, Sweden
| | - Cecile Jolly
- Human Evolution Program, Department of Organismal Biology, Uppsala University, Uppsala, Sweden
| | - Armando Semo
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Vairão, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, Vairão, Portugal
- Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, Porto, Portugal
| | - Hilde Gunnink
- UGent Centre for Bantu Studies (BantUGent), Department of Languages and Cultures, Ghent University, Ghent, Belgium
- Leiden University Centre for Linguistics, Leiden, the Netherlands
| | - Sara Pacchiarotti
- UGent Centre for Bantu Studies (BantUGent), Department of Languages and Cultures, Ghent University, Ghent, Belgium
| | - Leon Mundeke
- University of Kinshasa, Kinshasa, Democratic Republic of Congo
| | - Igor Matonda
- University of Kinshasa, Kinshasa, Democratic Republic of Congo
| | - Joseph Koni Muluwa
- Institut Supérieur Pédagogique de Kikwit, Kikwit, Democratic Republic of Congo
| | - Peter Coutros
- UGent Centre for Bantu Studies (BantUGent), Department of Languages and Cultures, Ghent University, Ghent, Belgium
| | | | | | - Vinet Coetzee
- Department of Biochemistry, Genetics and Microbiology, University of Pretoria, Pretoria, South Africa
| | - Minique de Castro
- Biotechnology Platform, Agricultural Research Council, Onderstepoort, Pretoria, South Africa
| | - Peter Ebbesen
- Department of Health Science and Technology, University of Aalborg, Aalborg, Denmark
| | - Joris Delanghe
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - Mark Stoneking
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- Laboratoire de Biométrie et Biologie Evolutive, UMR 5558, Université Lyon 1, CNRS, Villeurbanne, France
| | - Lawrence Barham
- Department of Archaeology, Classics & Egyptology, University of Liverpool, Liverpool, UK
| | - Marlize Lombard
- Palaeo-Research Institute, University of Johannesburg, Johannesburg, South Africa
| | - Anja Meyer
- Human Variation and Identification Research Unit, School of Anatomical Sciences, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Maryna Steyn
- Human Variation and Identification Research Unit, School of Anatomical Sciences, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Helena Malmström
- Human Evolution Program, Department of Organismal Biology, Uppsala University, Uppsala, Sweden
- Palaeo-Research Institute, University of Johannesburg, Johannesburg, South Africa
| | - Jorge Rocha
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Vairão, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, Vairão, Portugal
- Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, Porto, Portugal
| | - Himla Soodyall
- Division of Human Genetics, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Academy of Science of South Africa, Pretoria, South Africa
| | | | - Koen Bostoen
- UGent Centre for Bantu Studies (BantUGent), Department of Languages and Cultures, Ghent University, Ghent, Belgium
| | - Carina M Schlebusch
- Human Evolution Program, Department of Organismal Biology, Uppsala University, Uppsala, Sweden.
- Palaeo-Research Institute, University of Johannesburg, Johannesburg, South Africa.
- SciLifeLab, Uppsala, Sweden.
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12
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Spottiswoode CN, Wood BM. Culturally determined interspecies communication between humans and honeyguides. Science 2023; 382:1155-1158. [PMID: 38060656 DOI: 10.1126/science.adh4129] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Accepted: 10/25/2023] [Indexed: 12/18/2023]
Abstract
Species interactions that vary across environments can create geographical mosaics of genetic coevolution. However, traits mediating species interactions are sometimes culturally inherited. Here we show that traditions of interspecies communication between people and wild birds vary in a culturally determined geographical mosaic. Honey hunters in different parts of Africa use different calls to communicate with greater honeyguides (Indicator indicator) that lead them to bees' nests. We show experimentally that honeyguides in Tanzania and Mozambique discriminate among honey hunters' calls, responding more readily to local than to foreign calls. This was not explained by variation in sound transmission and instead suggests that honeyguides learn local human signals. We discuss the forces stabilizing and diversifying interspecies communication traditions, and the potential for cultural coevolution between species.
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Affiliation(s)
- Claire N Spottiswoode
- Department of Zoology, University of Cambridge, Cambridge, UK
- FitzPatrick Institute of African Ornithology, Department of Biological Sciences, University of Cape Town, Cape Town, South Africa
| | - Brian M Wood
- Department of Anthropology, University of California Los Angeles, Los Angeles, CA, USA
- Department of Human Behavior, Ecology, and Culture, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
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13
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Olalde I, Carrión P, Mikić I, Rohland N, Mallick S, Lazaridis I, Mah M, Korać M, Golubović S, Petković S, Miladinović-Radmilović N, Vulović D, Alihodžić T, Ash A, Baeta M, Bartík J, Bedić Ž, Bilić M, Bonsall C, Bunčić M, Bužanić D, Carić M, Čataj L, Cvetko M, Drnić I, Dugonjić A, Đukić A, Đukić K, Farkaš Z, Jelínek P, Jovanovic M, Kaić I, Kalafatić H, Krmpotić M, Krznar S, Leleković T, M de Pancorbo M, Matijević V, Milošević Zakić B, Osterholtz AJ, Paige JM, Tresić Pavičić D, Premužić Z, Rajić Šikanjić P, Rapan Papeša A, Paraman L, Sanader M, Radovanović I, Roksandic M, Šefčáková A, Stefanović S, Teschler-Nicola M, Tončinić D, Zagorc B, Callan K, Candilio F, Cheronet O, Fernandes D, Kearns A, Lawson AM, Mandl K, Wagner A, Zalzala F, Zettl A, Tomanović Ž, Keckarević D, Novak M, Harper K, McCormick M, Pinhasi R, Grbić M, Lalueza-Fox C, Reich D. A genetic history of the Balkans from Roman frontier to Slavic migrations. Cell 2023; 186:5472-5485.e9. [PMID: 38065079 PMCID: PMC10752003 DOI: 10.1016/j.cell.2023.10.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Revised: 08/22/2023] [Accepted: 10/18/2023] [Indexed: 12/18/2023]
Abstract
The rise and fall of the Roman Empire was a socio-political process with enormous ramifications for human history. The Middle Danube was a crucial frontier and a crossroads for population and cultural movement. Here, we present genome-wide data from 136 Balkan individuals dated to the 1st millennium CE. Despite extensive militarization and cultural influence, we find little ancestry contribution from peoples of Italic descent. However, we trace a large-scale influx of people of Anatolian ancestry during the Imperial period. Between ∼250 and 550 CE, we detect migrants with ancestry from Central/Northern Europe and the Steppe, confirming that "barbarian" migrations were propelled by ethnically diverse confederations. Following the end of Roman control, we detect the large-scale arrival of individuals who were genetically similar to modern Eastern European Slavic-speaking populations, who contributed 30%-60% of the ancestry of Balkan people, representing one of the largest permanent demographic changes anywhere in Europe during the Migration Period.
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Affiliation(s)
- Iñigo Olalde
- BIOMICs Research Group, Department of Zoology and Animal Cell Biology, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain; Ikerbasque-Basque Foundation of Science, Bilbao, Spain; Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA; Institute of Evolutionary Biology, CSIC-Universitat Pompeu Fabra, Barcelona, Spain.
| | - Pablo Carrión
- Institute of Evolutionary Biology, CSIC-Universitat Pompeu Fabra, Barcelona, Spain
| | | | - Nadin Rohland
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Swapan Mallick
- Department of Genetics, Harvard Medical School, Boston, MA, USA; Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
| | - Iosif Lazaridis
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA; Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Matthew Mah
- Department of Genetics, Harvard Medical School, Boston, MA, USA; Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | | | | | | | | | | | - Abigail Ash
- Department of Archaeology, Durham University, Durham, UK
| | - Miriam Baeta
- BIOMICs Research Group, Department of Zoology and Animal Cell Biology, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Juraj Bartík
- Slovak National Museum-Archaeological Museum, Bratislava, Slovak Republic
| | - Željka Bedić
- Centre for Applied Bioanthropology, Institute for Anthropological Research, Zagreb, Croatia
| | | | - Clive Bonsall
- School of History, Classics and Archaeology, University of Edinburgh, Edinburgh, UK
| | - Maja Bunčić
- Archaeological Museum in Zagreb, Zagreb, Croatia
| | - Domagoj Bužanić
- Faculty of Humanities and Social Sciences, University of Zagreb, Zagreb, Croatia
| | - Mario Carić
- Centre for Applied Bioanthropology, Institute for Anthropological Research, Zagreb, Croatia
| | - Lea Čataj
- Division for Archaeological Heritage, Croatian Conservation Institute, Zagreb, Croatia
| | - Mirna Cvetko
- Faculty of Humanities and Social Sciences, University of Zagreb, Zagreb, Croatia
| | - Ivan Drnić
- Archaeological Museum in Zagreb, Zagreb, Croatia
| | | | - Ana Đukić
- Archaeological Museum in Zagreb, Zagreb, Croatia
| | - Ksenija Đukić
- Center of Bone Biology, Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Zdeněk Farkaš
- Slovak National Museum-Archaeological Museum, Bratislava, Slovak Republic
| | - Pavol Jelínek
- Slovak National Museum-Archaeological Museum, Bratislava, Slovak Republic
| | | | - Iva Kaić
- Faculty of Humanities and Social Sciences, University of Zagreb, Zagreb, Croatia
| | | | - Marijana Krmpotić
- Department for Archaeology, Croatian Conservation Institute, Zagreb, Croatia
| | | | - Tino Leleković
- Archaeology Division, Croatian Academy of Sciences and Arts, Zagreb, Croatia
| | - Marian M de Pancorbo
- BIOMICs Research Group, Department of Zoology and Animal Cell Biology, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Vinka Matijević
- Faculty of Humanities and Social Sciences, University of Zagreb, Zagreb, Croatia
| | | | - Anna J Osterholtz
- Department of Anthropology and Middle Eastern Cultures, Mississippi State University, Starkville, MS, USA
| | - Julianne M Paige
- Department of Anthropology, University of Nevada, Las Vegas, NV, USA
| | | | | | - Petra Rajić Šikanjić
- Centre for Applied Bioanthropology, Institute for Anthropological Research, Zagreb, Croatia
| | | | | | - Mirjana Sanader
- Faculty of Humanities and Social Sciences, University of Zagreb, Zagreb, Croatia
| | | | - Mirjana Roksandic
- Department of Anthropology, University of Winnipeg, Winnipeg, MB, Canada
| | - Alena Šefčáková
- Department of Anthropology, Slovak National Museum-Natural History Museum, Bratislava, Slovak Republic
| | - Sofia Stefanović
- Laboratory for Bioarchaeology, Faculty of Philosophy, University of Belgrade, Belgrade, Serbia
| | - Maria Teschler-Nicola
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria; Department of Anthropology, Natural History Museum Vienna, Vienna, Austria
| | - Domagoj Tončinić
- Faculty of Humanities and Social Sciences, University of Zagreb, Zagreb, Croatia
| | - Brina Zagorc
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria
| | - Kim Callan
- Department of Genetics, Harvard Medical School, Boston, MA, USA; Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
| | | | - Olivia Cheronet
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria
| | - Daniel Fernandes
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria; Research Centre for Anthropology and Health (CIAS), Department of Life Sciences, University of Coimbra, Coimbra, Portugal
| | - Aisling Kearns
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Ann Marie Lawson
- Department of Genetics, Harvard Medical School, Boston, MA, USA; Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
| | - Kirsten Mandl
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria
| | - Anna Wagner
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria
| | - Fatma Zalzala
- Department of Genetics, Harvard Medical School, Boston, MA, USA; Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
| | - Anna Zettl
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria
| | - Željko Tomanović
- Faculty of Biology, University of Belgrade, Belgrade, Serbia; Serbian Academy of Sciences and Arts, Belgrade, Serbia
| | | | - Mario Novak
- Centre for Applied Bioanthropology, Institute for Anthropological Research, Zagreb, Croatia
| | - Kyle Harper
- Department of Classics and Letters, University of Oklahoma, Norman, OK, USA; Santa Fe Institute, Santa Fe, NM, USA
| | - Michael McCormick
- Department of History, Harvard University, Cambridge, MA, USA; Max Planck-Harvard Research Center for the Archaeoscience of the Ancient Mediterranean, Harvard University, Cambridge, MA, USA
| | - Ron Pinhasi
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria; Human Evolution and Archaeological Sciences, University of Vienna, Vienna, Austria
| | - Miodrag Grbić
- Faculty of Biology, University of Belgrade, Belgrade, Serbia; Department of Biology, University of Western Ontario, London, ON, Canada; Department of Agriculture and Food, Universidad de La Rioja, Logroño, Spain
| | - Carles Lalueza-Fox
- Institute of Evolutionary Biology, CSIC-Universitat Pompeu Fabra, Barcelona, Spain; Museu de Ciències Naturals de Barcelona, Barcelona, Spain.
| | - David Reich
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA; Department of Genetics, Harvard Medical School, Boston, MA, USA; Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
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14
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Tallman S, Sungo MDD, Saranga S, Beleza S. Whole genomes from Angola and Mozambique inform about the origins and dispersals of major African migrations. Nat Commun 2023; 14:7967. [PMID: 38042927 PMCID: PMC10693643 DOI: 10.1038/s41467-023-43717-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Accepted: 11/17/2023] [Indexed: 12/04/2023] Open
Abstract
As the continent of origin for our species, Africa harbours the highest levels of diversity anywhere on Earth. However, many regions of Africa remain under-sampled genetically. Here we present 350 whole genomes from Angola and Mozambique belonging to ten Bantu ethnolinguistic groups, enabling the construction of a reference variation catalogue including 2.9 million novel SNPs. We investigate the emergence of Bantu speaker population structure, admixture involving migrations across sub-Saharan Africa and model the demographic histories of Angolan and Mozambican Bantu speakers. Our results bring together concordant views from genomics, archaeology, and linguistics to paint an updated view of the complexity of the Bantu Expansion. Moreover, we generate reference panels that better represents the diversity of African populations involved in the trans-Atlantic slave trade, improving imputation accuracy in African Americans and Brazilians. We anticipate that our collection of genomes will form the foundation for future African genomic healthcare initiatives.
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Affiliation(s)
- Sam Tallman
- University of Leicester, Department of Genetics & Genome Biology, University Road, Leicester, LE1 7RH, UK
- Genomics England, 1 Canada Square, London, E14 5AB, UK
| | | | - Sílvio Saranga
- Universidade Pedagógica, Avenida Eduardo Mondlane, CP 2107, Maputo, Mozambique
| | - Sandra Beleza
- University of Leicester, Department of Genetics & Genome Biology, University Road, Leicester, LE1 7RH, UK.
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15
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Kim K, Kim D, Hanotte O, Lee C, Kim H, Jeong C. Inference of Admixture Origins in Indigenous African Cattle. Mol Biol Evol 2023; 40:msad257. [PMID: 37995300 PMCID: PMC10701095 DOI: 10.1093/molbev/msad257] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Revised: 10/12/2023] [Accepted: 11/14/2023] [Indexed: 11/25/2023] Open
Abstract
Present-day African cattle retain a unique genetic profile composed of a mixture of the Bos taurus and Bos indicus populations introduced into the continent at different time periods. However, details of the admixture history and the exact origins of the source populations remain obscure. Here, we infer the source of admixture in the earliest domestic cattle in Africa, African taurine. We detect a significant contribution (up to ∼20%) from a basal taurine lineage, which might represent the now-extinct African aurochs. In addition, we show that the indicine ancestry of African cattle, although most closely related to so-far sampled North Indian indicine breeds, has a small amount of additional genetic affinity to Southeast Asian indicine breeds. Our findings support the hypothesis of aurochs introgression into African taurine and generate a novel hypothesis that the origin of indicine ancestry in Africa might be different indicine populations than the ones found in North India today.
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Affiliation(s)
- Kwondo Kim
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
- Department of Agricultural Biotechnology and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea
| | - Donghee Kim
- School of Biological Sciences, Seoul National University, Seoul, Republic of Korea
| | - Olivier Hanotte
- LiveGene, International Livestock Research Institute (ILRI), Addis Ababa, Ethiopia
- The Centre for Tropical Livestock Genetics and Health (CTLGH), The Roslin Institute, The University of Edinburgh, Midlothian, UK
- School of Life Sciences, University of Nottingham, Nottingham, UK
| | - Charles Lee
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | - Heebal Kim
- Department of Agricultural Biotechnology and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea
- eGnome, Inc., Seoul, Republic of Korea
| | - Choongwon Jeong
- School of Biological Sciences, Seoul National University, Seoul, Republic of Korea
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16
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Williams MP, Flegontov P, Maier R, Huber CD. Testing Times: Challenges in Disentangling Admixture Histories in Recent and Complex Demographies. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.13.566841. [PMID: 38014190 PMCID: PMC10680674 DOI: 10.1101/2023.11.13.566841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
Paleogenomics has expanded our knowledge of human evolutionary history. Since the 2020s, the study of ancient DNA has increased its focus on reconstructing the recent past. However, the accuracy of paleogenomic methods in answering questions of historical and archaeological importance amidst the increased demographic complexity and decreased genetic differentiation within the historical period remains an open question. We used two simulation approaches to evaluate the limitations and behavior of commonly used methods, qpAdm and the f3-statistic, on admixture inference. The first is based on branch-length data simulated from four simple demographic models of varying complexities and configurations. The second, an analysis of Eurasian history composed of 59 populations using whole-genome data modified with ancient DNA conditions such as SNP ascertainment, data missingness, and pseudo-haploidization. We show that under conditions resembling historical populations, qpAdm can identify a small candidate set of true sources and populations closely related to them. However, in typical ancient DNA conditions, qpAdm is unable to further distinguish between them, limiting its utility for resolving fine-scaled hypotheses. Notably, we find that complex gene-flow histories generally lead to improvements in the performance of qpAdm and observe no bias in the estimation of admixture weights. We offer a heuristic for admixture inference that incorporates admixture weight estimate and P-values of qpAdm models, and f3-statistics to enhance the power to distinguish between multiple plausible candidates. Finally, we highlight the future potential of qpAdm through whole-genome branch-length f2-statistics, demonstrating the improved demographic inference that could be achieved with advancements in f-statistic estimations.
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Affiliation(s)
- Matthew P. Williams
- Pennsylvania State University, Department of Biology, University Park, PA 16802, USA
| | - Pavel Flegontov
- Department of Biology and Ecology, Faculty of Science, University of Ostrava, Ostrava, Czechia
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
| | - Robert Maier
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
| | - Christian D. Huber
- Pennsylvania State University, Department of Biology, University Park, PA 16802, USA
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17
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Hammarén R, Goldstein ST, Schlebusch CM. Eurasian back-migration into Northeast Africa was a complex and multifaceted process. PLoS One 2023; 18:e0290423. [PMID: 37939042 PMCID: PMC10631636 DOI: 10.1371/journal.pone.0290423] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Accepted: 08/08/2023] [Indexed: 11/10/2023] Open
Abstract
Recent studies have identified Northeast Africa as an important area for human movements during the Holocene. Eurasian populations have moved back into Northeastern Africa and contributed to the genetic composition of its people. By gathering the largest reference dataset to date of Northeast, North, and East African as well as Middle Eastern populations, we give new depth to our knowledge of Northeast African demographic history. By employing local ancestry methods, we isolated the Non-African parts of modern-day Northeast African genomes and identified the best putative source populations. Egyptians and Sudanese Copts bore most similarities to Levantine populations whilst other populations in the region generally had predominantly genetic contributions from the Arabian peninsula rather than Levantine populations for their Non-African genetic component. We also date admixture events and investigated which factors influenced the date of admixture and find that major linguistic families were associated with the date of Eurasian admixture. Taken as a whole we detect complex patterns of admixture and diverse origins of Eurasian admixture in Northeast African populations of today.
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Affiliation(s)
- Rickard Hammarén
- Human Evolution, Department of Organismal Biology, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden
- Department of Archaeology, Max Planck Institute for the Science of Human History, Jena, Germany
| | - Steven T. Goldstein
- Department of Archaeology, Max Planck Institute for the Science of Human History, Jena, Germany
| | - Carina M. Schlebusch
- Human Evolution, Department of Organismal Biology, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden
- Palaeo-Research Institute, University of Johannesburg, Johannesburg, South Africa
- SciLifeLab, Uppsala, Sweden
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18
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Cotter DJ, Webster TH, Wilson MA. Genomic and demographic processes differentially influence genetic variation across the human X chromosome. PLoS One 2023; 18:e0287609. [PMID: 37910456 PMCID: PMC10619814 DOI: 10.1371/journal.pone.0287609] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Accepted: 06/08/2023] [Indexed: 11/03/2023] Open
Abstract
Many forces influence genetic variation across the genome including mutation, recombination, selection, and demography. Increased mutation and recombination both lead to increases in genetic diversity in a region-specific manner, while complex demographic patterns shape patterns of diversity on a more global scale. While these processes act across the entire genome, the X chromosome is particularly interesting because it contains several distinct regions that are subject to different combinations and strengths of these forces: the pseudoautosomal regions (PARs) and the X-transposed region (XTR). The X chromosome thus can serve as a unique model for studying how genetic and demographic forces act in different contexts to shape patterns of observed variation. We therefore sought to explore diversity, divergence, and linkage disequilibrium in each region of the X chromosome using genomic data from 26 human populations. Across populations, we find that both diversity and substitution rate are consistently elevated in PAR1 and the XTR compared to the rest of the X chromosome. In contrast, linkage disequilibrium is lowest in PAR1, consistent with the high recombination rate in this region, and highest in the region of the X chromosome that does not recombine in males. However, linkage disequilibrium in the XTR is intermediate between PAR1 and the autosomes, and much lower than the non-recombining X. Finally, in addition to these global patterns, we also observed variation in ratios of X versus autosomal diversity consistent with population-specific evolutionary history as well. While our results were generally consistent with previous work, two unexpected observations emerged. First, our results suggest that the XTR does not behave like the rest of the recombining X and may need to be evaluated separately in future studies. Second, the different regions of the X chromosome appear to exhibit unique patterns of linked selection across different human populations. Together, our results highlight profound regional differences across the X chromosome, simultaneously making it an ideal system for exploring the action of evolutionary forces as well as necessitating its careful consideration and treatment in genomic analyses.
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Affiliation(s)
- Daniel J. Cotter
- Department of Genetics, Stanford University, Stanford, CA, United States of America
| | - Timothy H. Webster
- Department of Anthropology, University of Utah, Salt Lake City, UT, United States of America
- School of Life Sciences, Arizona State University, Tempe, AZ, United States of America
| | - Melissa A. Wilson
- School of Life Sciences, Arizona State University, Tempe, AZ, United States of America
- Center for Evolution and Medicine, Biodesign Institute, Arizona State University, Tempe, AZ, United States of America
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19
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Le Meillour L, Zazzo A, Zirah S, Tombret O, Barriel V, Arthur KW, Arthur JW, Cauliez J, Chaix L, Curtis MC, Gifford-Gonzalez D, Gunn I, Gutherz X, Hildebrand E, Khalidi L, Millet M, Mitchell P, Studer J, Vila E, Welker F, Pleurdeau D, Lesur J. The name of the game: palaeoproteomics and radiocarbon dates further refine the presence and dispersal of caprines in eastern and southern Africa. ROYAL SOCIETY OPEN SCIENCE 2023; 10:231002. [PMID: 38026023 PMCID: PMC10663795 DOI: 10.1098/rsos.231002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 11/03/2023] [Indexed: 12/01/2023]
Abstract
We report the first large-scale palaeoproteomics research on eastern and southern African zooarchaeological samples, thereby refining our understanding of early caprine (sheep and goat) pastoralism in Africa. Assessing caprine introductions is a complicated task because of their skeletal similarity to endemic wild bovid species and the sparse and fragmentary state of relevant archaeological remains. Palaeoproteomics has previously proved effective in clarifying species attributions in African zooarchaeological materials, but few comparative protein sequences of wild bovid species have been available. Using newly generated type I collagen sequences for wild species, as well as previously published sequences, we assess species attributions for elements originally identified as caprine or 'unidentifiable bovid' from 17 eastern and southern African sites that span seven millennia. We identified over 70% of the archaeological remains and the direct radiocarbon dating of domesticate specimens allows refinement of the chronology of caprine presence in both African regions. These results thus confirm earlier occurrences in eastern Africa and the systematic association of domesticated caprines with wild bovids at all archaeological sites. The combined biomolecular approach highlights repeatability and accuracy of the methods for conclusive contribution in species attribution of archaeological remains in dry African environments.
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Affiliation(s)
- Louise Le Meillour
- Unité Archéozoologie, Archéobotanique: Sociétés, Pratiques, Environnements (AASPE), Muséum national d'Histoire naturelle, CNRS, CP 56, 55 rue Buffon, 75005 Paris, France
- Unité Molécules de Communication et Adaptations des Micro-organismes (MCAM), Muséum national d'Histoire naturelle, CNRS, CP 54, 57 rue Cuvier, 75005 Paris, France
- Section for Molecular Ecology and Evolution, Globe Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Øster Farimagsgade 5, 1353 København, Denmark
| | - Antoine Zazzo
- Unité Archéozoologie, Archéobotanique: Sociétés, Pratiques, Environnements (AASPE), Muséum national d'Histoire naturelle, CNRS, CP 56, 55 rue Buffon, 75005 Paris, France
| | - Séverine Zirah
- Unité Molécules de Communication et Adaptations des Micro-organismes (MCAM), Muséum national d'Histoire naturelle, CNRS, CP 54, 57 rue Cuvier, 75005 Paris, France
| | - Olivier Tombret
- Unité Archéozoologie, Archéobotanique: Sociétés, Pratiques, Environnements (AASPE), Muséum national d'Histoire naturelle, CNRS, CP 56, 55 rue Buffon, 75005 Paris, France
- Unité Histoire naturelle de l'Homme Préhistorique (HNHP), Muséum national d'Histoire naturelle, CNRS, UPVD, 1 rue René Panhard, 75013 Paris, France
| | - Véronique Barriel
- Centre de Recherche en Paléontologie – Paris (CR2P), Muséum national d'Histoire naturelle, CNRS, Sorbonne Université, CP 38, 8 rue Buffon, 75005 Paris, France
| | - Kathryn W. Arthur
- Department of Anthropology, University of South Florida St. Petersburg, 140 7th Avenue South, St. Petersburg, FL 33713, USA
| | - John W. Arthur
- Department of Anthropology, University of South Florida St. Petersburg, 140 7th Avenue South, St. Petersburg, FL 33713, USA
| | - Jessie Cauliez
- Unité Travaux et Recherches Archéologiques sur les Cultures, les Espaces et les Sociétés (TRACES), CNRS, Université Toulouse Jean Jaurès, 5 allées Antonio Machado, 31058 Toulouse, France
| | - Louis Chaix
- Département d'archéozoologie, Muséum d'histoire naturelle (MHNG), 1 route de Malagnou, 1208 Genève, Switzerland
| | - Matthew C. Curtis
- Anthropology Program, California State University Channel Islands, 1 University Drive, Camarillo, CA 93012, USA
| | - Diane Gifford-Gonzalez
- Department of Anthropology, University of California, Santa Cruz, Social Sciences 1 Faculty Svcs, 1156 High Street, Santa Cruz, CA 95064-1077, USA
| | - Imogen Gunn
- Museum of Archaeology and Anthropology, University of Cambridge, Downing Street, Cambridge CB2 3DZ, UK
| | - Xavier Gutherz
- Unité Archéologie des Sociétés Méditerranéennes (ASM), CNRS, Université Montpellier III, Ministère de la Culture, INRAP, Montpellier, France
| | | | - Lamya Khalidi
- Unité Cultures et Environnements. Préhistoire, Antiquité, Moyen Age (CEPAM), Université Côte d'Azur, CNRS, 24 avenue des Diables Bleus, 06300 Nice, France
| | - Marie Millet
- Département des Antiquités Égyptiennes, Musée du Louvre, Paris, France
| | - Peter Mitchell
- School of Archaeology, University of Oxford, Oxford, OX1 3TG, United Kingdom and Rock Art Research Institute, University of the Witwatersrand, PO Wits 2050, Johannesburg, South Africa
| | - Jacqueline Studer
- Département d'archéozoologie, Muséum d'histoire naturelle (MHNG), 1 route de Malagnou, 1208 Genève, Switzerland
| | - Emmanuelle Vila
- Unité Archéorient, Environnements et sociétés de l'Orient ancien, CNRS, Université de Lyon 2, Maison de l'Orient et de la Méditerranée, 7 rue Raulin, 69007 Lyon, France
| | - Frido Welker
- Section for Molecular Ecology and Evolution, Globe Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Øster Farimagsgade 5, 1353 København, Denmark
| | - David Pleurdeau
- Unité Histoire naturelle de l'Homme Préhistorique (HNHP), Muséum national d'Histoire naturelle, CNRS, UPVD, 1 rue René Panhard, 75013 Paris, France
| | - Joséphine Lesur
- Unité Archéozoologie, Archéobotanique: Sociétés, Pratiques, Environnements (AASPE), Muséum national d'Histoire naturelle, CNRS, CP 56, 55 rue Buffon, 75005 Paris, France
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20
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Yüncü E, Işıldak U, Williams MP, Huber CD, Flegontova O, Vyazov LA, Changmai P, Flegontov P. False discovery rates of qpAdm-based screens for genetic admixture. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.04.25.538339. [PMID: 37904998 PMCID: PMC10614728 DOI: 10.1101/2023.04.25.538339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/02/2023]
Abstract
Although a broad range of methods exists for reconstructing population history from genome-wide single nucleotide polymorphism data, just a few methods gained popularity in archaeogenetics: principal component analysis (PCA); ADMIXTURE, an algorithm that models individuals as mixtures of multiple ancestral sources represented by actual or inferred populations; formal tests for admixture such as f3-statistics and D/f4-statistics; and qpAdm, a tool for fitting two-component and more complex admixture models to groups or individuals. Despite their popularity in archaeogenetics, which is explained by modest computational requirements and ability to analyze data of various types and qualities, protocols relying on qpAdm that screen numerous alternative models of varying complexity and find "fitting" models (often considering both estimated admixture proportions and p-values as a composite criterion of model fit) remain untested on complex simulated population histories in the form of admixture graphs of random topology. We analyzed genotype data extracted from such simulations and tested various types of high-throughput qpAdm protocols ("rotating" and "non-rotating", with or without temporal stratification of target groups and proxy ancestry sources, and with or without a "model competition" step). We caution that high-throughput qpAdm protocols may be inappropriate for exploratory analyses in poorly studied regions/periods since their false discovery rates varied between 12% and 68% depending on the details of the protocol and on the amount and quality of simulated data (i.e., >12% of fitting two-way admixture models imply gene flows that were not simulated). We demonstrate that for reducing false discovery rates of qpAdm protocols to nearly 0% it is advisable to use large SNP sets with low missing data rates, the rotating qpAdm protocol with a strictly enforced rule that target groups do not pre-date their proxy sources, and an unsupervised ADMIXTURE analysis as a way to verify feasible qpAdm models. Our study has a number of limitations: for instance, these recommendations depend on the assumption that the underlying genetic history is a complex admixture graph and not a stepping-stone model.
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Affiliation(s)
- Eren Yüncü
- Department of Biology and Ecology, Faculty of Science, University of Ostrava, Ostrava, Czechia
| | - Ulaş Işıldak
- Department of Biology and Ecology, Faculty of Science, University of Ostrava, Ostrava, Czechia
| | - Matthew P. Williams
- Department of Biology, Eberly College of Science, Pennsylvania State University, PA, USA
| | - Christian D. Huber
- Department of Biology, Eberly College of Science, Pennsylvania State University, PA, USA
| | - Olga Flegontova
- Department of Biology and Ecology, Faculty of Science, University of Ostrava, Ostrava, Czechia
- Institute of Parasitology, Biology Centre of the Czech Academy of Sciences, České Budějovice, Czechia
| | - Leonid A. Vyazov
- Department of Biology and Ecology, Faculty of Science, University of Ostrava, Ostrava, Czechia
| | - Piya Changmai
- Department of Biology and Ecology, Faculty of Science, University of Ostrava, Ostrava, Czechia
| | - Pavel Flegontov
- Department of Biology and Ecology, Faculty of Science, University of Ostrava, Ostrava, Czechia
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
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21
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Ávila-Arcos MC, Raghavan M, Schlebusch C. Going local with ancient DNA: A review of human histories from regional perspectives. Science 2023; 382:53-58. [PMID: 37797024 DOI: 10.1126/science.adh8140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2023] [Accepted: 09/05/2023] [Indexed: 10/07/2023]
Abstract
Ancient DNA (aDNA) has added a wealth of information about our species' history, including insights on genetic origins, migrations and gene flow, genetic admixture, and health and disease. Much early work has focused on continental-level questions, leaving many regional questions, especially those relevant to the Global South, comparatively underexplored. A few success stories of aDNA studies from smaller laboratories involve more local aspects of human histories and health in the Americas, Africa, Asia, and Oceania. In this Review, we cover some of these contributions by synthesizing finer-scale questions of importance to the archaeogenetics field, as well as to Indigenous and Descendant communities. We further highlight the potential of aDNA to uncover past histories in regions where colonialism has neglected the oral histories of oppressed peoples.
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Affiliation(s)
- María C Ávila-Arcos
- International Laboratory for Human Genome Research, Universidad Nacional Autónoma de México, Querétaro, Mexico
| | - Maanasa Raghavan
- Department of Human Genetics, University of Chicago, Chicago, IL, USA
| | - Carina Schlebusch
- Human Evolution, Department of Organismal Biology, Uppsala University, Uppsala, Sweden
- Palaeo-Research Institute, University of Johannesburg, Johannesburg, South Africa
- SciLifeLab, Uppsala, Sweden
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22
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Vyas DN, Koncz I, Modi A, Mende BG, Tian Y, Francalacci P, Lari M, Vai S, Straub P, Gallina Z, Szeniczey T, Hajdu T, Pejrani Baricco L, Giostra C, Radzevičiūtė R, Hofmanová Z, Évinger S, Bernert Z, Pohl W, Caramelli D, Vida T, Geary PJ, Veeramah KR. Fine-scale sampling uncovers the complexity of migrations in 5th-6th century Pannonia. Curr Biol 2023; 33:3951-3961.e11. [PMID: 37633281 DOI: 10.1016/j.cub.2023.07.063] [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: 04/06/2023] [Revised: 06/20/2023] [Accepted: 07/31/2023] [Indexed: 08/28/2023]
Abstract
As the collapse of the Western Roman Empire accelerated during the 4th and 5th centuries, arriving "barbarian" groups began to establish new communities in the border provinces of the declining (and eventually former) empire. This was a time of significant cultural and political change throughout not only these border regions but Europe as a whole.1,2 To better understand post-Roman community formation in one of these key frontier zones after the collapse of the Hunnic movement, we generated new paleogenomic data for a set of 38 burials from a time series of three 5th century cemeteries3,4,5 at Lake Balaton, Hungary. We utilized a comprehensive sampling approach to characterize these cemeteries along with data from 38 additional burials from a previously published mid-6th century site6 and analyzed them alongside data from over 550 penecontemporaneous individuals.7,8,9,10,11,12,13,14,15,16,17,18,19 The range of genetic diversity in all four of these local burial communities is extensive and wider ranging than penecontemporaneous Europeans sequenced to date. Despite many commonalities in burial customs and demography, we find that there were substantial differences in genetic ancestry between the sites. We detect evidence of northern European gene flow into the Lake Balaton region. Additionally, we observe a statistically significant association between dress artifacts and genetic ancestry among 5th century genetically female burials. Our analysis shows that the formation of early Medieval communities was a multifarious process even at a local level, consisting of genetically heterogeneous groups.
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Affiliation(s)
- Deven N Vyas
- Department of Ecology and Evolution, Stony Brook University, 650 Life Sciences Building, Stony Brook, NY 11794, USA
| | - István Koncz
- Institute of Archaeological Sciences, ELTE - Eötvös Loránd University, Múzeum krt. 4/B, 1088 Budapest, Hungary
| | - Alessandra Modi
- Dipartimento di Biologia, Università degli Studi di Firenze, Via del Proconsolo 12, 50122 Firenze, Italy
| | - Balázs Gusztáv Mende
- Institute of Archaeogenomics, Research Centre for the Humanities, Tóth Kálmán utca 4, 1097 Budapest, Hungary
| | - Yijie Tian
- Department of Ecology and Evolution, Stony Brook University, 650 Life Sciences Building, Stony Brook, NY 11794, USA
| | - Paolo Francalacci
- Dipartimento di Scienze della Vita e dell'Ambiente, Università di Cagliari, Via T. Fiorelli 1, 09126 Cagliari, Italy
| | - Martina Lari
- Dipartimento di Biologia, Università degli Studi di Firenze, Via del Proconsolo 12, 50122 Firenze, Italy
| | - Stefania Vai
- Dipartimento di Biologia, Università degli Studi di Firenze, Via del Proconsolo 12, 50122 Firenze, Italy
| | | | | | - Tamás Szeniczey
- Department of Biological Anthropology, ELTE - Eötvös Loránd University, Pázmány Péter sétány 1/c, 1117 Budapest, Hungary
| | - Tamás Hajdu
- Department of Biological Anthropology, ELTE - Eötvös Loránd University, Pázmány Péter sétány 1/c, 1117 Budapest, Hungary
| | - Luisella Pejrani Baricco
- Soprintendenza Archeologia, Belle Arti e Paesaggio per la Città Metropolitana di Torino, piazza San Giovanni 2, 10122 Torino, Italy
| | - Caterina Giostra
- Dipartimento di Storia, Archeologia e Storia dell'Arte, Università Cattolica del Sacro Cuore, Largo A. Gemelli, 1, 20123 Milano, Italy
| | - Rita Radzevičiūtė
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Deutscher Platz 6, 04103 Leipzig, Germany
| | - Zuzana Hofmanová
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Deutscher Platz 6, 04103 Leipzig, Germany; Department of Archaeology and Museology, Faculty of Arts, Masaryk University, Arna Nováka 1/1, Brno 60200, Czech Republic
| | - Sándor Évinger
- Department of Anthropology, Hungarian Natural History Museum, Ludovika tér 2-6, 1083 Budapest, Hungary
| | - Zsolt Bernert
- Department of Anthropology, Hungarian Natural History Museum, Ludovika tér 2-6, 1083 Budapest, Hungary
| | - Walter Pohl
- Institute for Medieval Research, Austrian Academy of Sciences, Dr-Ignaz-Seipel-Platz 2, 1020 Vienna, Austria; Institute for Austrian Historical Research, University of Vienna, Universitätsring 1, 1010 Vienna, Austria
| | - David Caramelli
- Dipartimento di Biologia, Università degli Studi di Firenze, Via del Proconsolo 12, 50122 Firenze, Italy.
| | - Tivadar Vida
- Institute of Archaeological Sciences, ELTE - Eötvös Loránd University, Múzeum krt. 4/B, 1088 Budapest, Hungary.
| | - Patrick J Geary
- School of Historical Studies, Institute for Advanced Study, 1 Einstein Drive, Princeton, NJ 08540, USA.
| | - Krishna R Veeramah
- Department of Ecology and Evolution, Stony Brook University, 650 Life Sciences Building, Stony Brook, NY 11794, USA.
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Oliveira S, Fehn AM, Amorim B, Stoneking M, Rocha J. Genome-wide variation in the Angolan Namib Desert reveals unique pre-Bantu ancestry. SCIENCE ADVANCES 2023; 9:eadh3822. [PMID: 37738339 PMCID: PMC10516492 DOI: 10.1126/sciadv.adh3822] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Accepted: 08/18/2023] [Indexed: 09/24/2023]
Abstract
Ancient DNA studies reveal the genetic structure of Africa before the expansion of Bantu-speaking agriculturalists; however, the impact of now extinct hunter-gatherer and herder societies on the genetic makeup of present-day African groups remains elusive. Here, we uncover the genetic legacy of pre-Bantu populations from the Angolan Namib Desert, where we located small-scale groups associated with enigmatic forager traditions, as well as the last speakers of the Khoe-Kwadi family's Kwadi branch. By applying an ancestry decomposition approach to genome-wide data from these and other African populations, we reconstructed the fine-scale histories of contact emerging from the migration of Khoe-Kwadi-speaking pastoralists and identified a deeply divergent ancestry, which is exclusively shared between groups from the Angolan Namib and adjacent areas of Namibia. The unique genetic heritage of the Namib peoples shows how modern DNA research targeting understudied regions of high ethnolinguistic diversity can complement ancient DNA studies in probing the deep genetic structure of the African continent.
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Affiliation(s)
- Sandra Oliveira
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, 4485-661 Vairão, Portugal
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Leipzig 04103, Germany
- Computational and Molecular Population Genetics, Institute of Ecology and Evolution, University of Bern, 3012 Bern, Switzerland
| | - Anne-Maria Fehn
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, 4485-661 Vairão, Portugal
- Biopolis Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, 4485-661 Vairão, Portugal
| | - Beatriz Amorim
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, 4485-661 Vairão, Portugal
- Biopolis Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, 4485-661 Vairão, Portugal
- Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, 4099-002 Porto, Portugal
| | - Mark Stoneking
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Leipzig 04103, Germany
- Université Lyon 1, CNRS, Laboratoire de Biométrie et Biologie Evolutive, UMR 5558 Villeurbanne, France
| | - Jorge Rocha
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, 4485-661 Vairão, Portugal
- Biopolis Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, 4485-661 Vairão, Portugal
- Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, 4099-002 Porto, Portugal
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24
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Ibrahim J, Rechav K, Boaretto E, Weiner S. Three dimensional structures of the inner and outer pig petrous bone using FIB-SEM: Implications for development and ancient DNA preservation. J Struct Biol 2023; 215:107998. [PMID: 37422275 DOI: 10.1016/j.jsb.2023.107998] [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: 04/04/2023] [Revised: 07/03/2023] [Accepted: 07/05/2023] [Indexed: 07/10/2023]
Abstract
We report on the 3D ultrastructure of the mineralized petrous bone of mature pig using focused ion beam - scanning electron microscopy (FIB-SEM). We divide the petrous bone into two zones based on the degree of mineralization; one zone close to the otic chamber has higher mineral density than the second zone further away from the otic chamber. The hypermineralization of the petrous bone results in the collagen D-banding being poorly revealed in the lower mineral density zone (LMD), and absent in the high mineral density zone (HMD). We therefore could not use D-banding to decipher the 3D structure of the collagen assembly. Instead we exploited the anisotropy option in the Dragonfly image processing software to visualize the less mineralized collagen fibrils and/or nanopores that surround the more mineralized zones known as tesselles. This approach therefore indirectly tracks the orientations of the collagen fibrils in the matrix itself. We show that the HMD bone has a structure similar to that of woven bone, and the LMD is composed of lamellar bone with a plywood-like structural motif. This agrees with the fact that the bone close to the otic chamber is fetal bone and is not remodeled. The lamellar structure of the bone further away from the otic chamber is consistent with modeling/remodeling. The absence of the less mineralized collagen fibrils and nanopores resulting from the confluence of the mineral tesselles may contribute to shielding DNA during diagenesis. We show that anisotropy evaluation of the less mineralized collagen fibrils could be a useful tool to analyze bone ultrastructures and in particular the directionality of collagen fibril bundles that make up the bone matrix.
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Affiliation(s)
- Jamal Ibrahim
- Scientific Archaeology Unit, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Katya Rechav
- Department of Chemical Research Support, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Elisabetta Boaretto
- Scientific Archaeology Unit, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Steve Weiner
- Department of Chemical and Structural Biology, Weizmann Institute of Science, Rehovot 7610001, Israel.
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Hu W, Hao Z, Du P, Di Vincenzo F, Manzi G, Cui J, Fu YX, Pan YH, Li H. Genomic inference of a severe human bottleneck during the Early to Middle Pleistocene transition. Science 2023; 381:979-984. [PMID: 37651513 DOI: 10.1126/science.abq7487] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 07/11/2023] [Indexed: 09/02/2023]
Abstract
Population size history is essential for studying human evolution. However, ancient population size history during the Pleistocene is notoriously difficult to unravel. In this study, we developed a fast infinitesimal time coalescent process (FitCoal) to circumvent this difficulty and calculated the composite likelihood for present-day human genomic sequences of 3154 individuals. Results showed that human ancestors went through a severe population bottleneck with about 1280 breeding individuals between around 930,000 and 813,000 years ago. The bottleneck lasted for about 117,000 years and brought human ancestors close to extinction. This bottleneck is congruent with a substantial chronological gap in the available African and Eurasian fossil record. Our results provide new insights into our ancestry and suggest a coincident speciation event.
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Affiliation(s)
- Wangjie Hu
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
- Key Laboratory of Brain Functional Genomics of Ministry of Education, School of Life Science, East China Normal University, Shanghai, China
| | - Ziqian Hao
- College of Artificial Intelligence and Big Data for Medical Sciences, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China
| | - Pengyuan Du
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
- College of Artificial Intelligence and Big Data for Medical Sciences, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China
| | | | - Giorgio Manzi
- Department of Environmental Biology, Sapienza University of Rome, Rome, Italy
| | - Jialong Cui
- Key Laboratory of Brain Functional Genomics of Ministry of Education, School of Life Science, East China Normal University, Shanghai, China
| | - Yun-Xin Fu
- Department of Biostatistics and Data Science, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
- Key Laboratory for Conservation and Utilization of Bioresources, Yunnan University, Kunming, China
| | - Yi-Hsuan Pan
- Key Laboratory of Brain Functional Genomics of Ministry of Education, School of Life Science, East China Normal University, Shanghai, China
| | - Haipeng Li
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China
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26
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Flegontov P, Işıldak U, Maier R, Yüncü E, Changmai P, Reich D. Modeling of African population history using f-statistics is biased when applying all previously proposed SNP ascertainment schemes. PLoS Genet 2023; 19:e1010931. [PMID: 37676865 PMCID: PMC10508636 DOI: 10.1371/journal.pgen.1010931] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2023] [Revised: 09/19/2023] [Accepted: 08/21/2023] [Indexed: 09/09/2023] Open
Abstract
f-statistics have emerged as a first line of analysis for making inferences about demographic history from genome-wide data. Not only are they guaranteed to allow robust tests of the fits of proposed models of population history to data when analyzing full genome sequencing data-that is, all single nucleotide polymorphisms (SNPs) in the individuals being analyzed-but they are also guaranteed to allow robust tests of models for SNPs ascertained as polymorphic in a population that is an outgroup in a phylogenetic sense to all groups being analyzed. True "outgroup ascertainment" is in practice impossible in humans because our species has arisen from a substructured ancestral population that does not descend from a homogeneous ancestral population going back many hundreds of thousands of years into the past. However, initial studies suggested that non-outgroup-ascertainment schemes might produce robust enough results using f-statistics, and that motivated widespread fitting of models to data using non-outgroup-ascertained SNP panels such as the "Affymetrix Human Origins array" which has been genotyped on thousands of modern individuals from hundreds of populations, or the "1240k" in-solution enrichment reagent which has been the source of about 70% of published genome-wide data for ancient humans. In this study, we show that while analyses of population history using such panels work well for studies of relationships among non-African populations and one African outgroup, when co-modeling more than one sub-Saharan African and/or archaic human groups (Neanderthals and Denisovans), fitting of f-statistics to such SNP sets is expected to frequently lead to false rejection of true demographic histories, and failure to reject incorrect models. Analyzing panels of SNPs polymorphic in archaic humans, which has been suggested as a solution for the ascertainment problem, has limited statistical power and retains important biases. However, by carrying out simulations of diverse demographic histories, we show that bias in inferences based on f-statistics can be minimized by ascertaining on variants common in a union of diverse African groups; such ascertainment retains high statistical power while allowing co-analysis of archaic and modern groups.
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Affiliation(s)
- Pavel Flegontov
- Department of Human Evolutionary Biology, Harvard University, Cambridge, Massachusetts, United States of America
- Department of Biology and Ecology, Faculty of Science, University of Ostrava, Ostrava, Czechia
- Kalmyk Research Center of the Russian Academy of Sciences, Elista, Russia
| | - Ulaş Işıldak
- Department of Biology and Ecology, Faculty of Science, University of Ostrava, Ostrava, Czechia
| | - Robert Maier
- Department of Human Evolutionary Biology, Harvard University, Cambridge, Massachusetts, United States of America
| | - Eren Yüncü
- Department of Biology and Ecology, Faculty of Science, University of Ostrava, Ostrava, Czechia
| | - Piya Changmai
- Department of Biology and Ecology, Faculty of Science, University of Ostrava, Ostrava, Czechia
| | - David Reich
- Department of Human Evolutionary Biology, Harvard University, Cambridge, Massachusetts, United States of America
- Department of Genetics, Harvard Medical School, Boston, Massachusetts, United States of America
- Howard Hughes Medical Institute, Harvard Medical School, Boston, Massachusetts, United States of America
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts, United States of America
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27
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Serrano JG, Ordóñez AC, Santana J, Sánchez-Cañadillas E, Arnay M, Rodríguez-Rodríguez A, Morales J, Velasco-Vázquez J, Alberto-Barroso V, Delgado-Darias T, de Mercadal MCC, Hernández JC, Moreno-Benítez MA, Pais J, Ringbauer H, Sikora M, McColl H, Pino-Yanes M, Ferrer MH, Bustamante CD, Fregel R. The genomic history of the indigenous people of the Canary Islands. Nat Commun 2023; 14:4641. [PMID: 37582830 PMCID: PMC10427657 DOI: 10.1038/s41467-023-40198-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Accepted: 07/17/2023] [Indexed: 08/17/2023] Open
Abstract
The indigenous population of the Canary Islands, which colonized the archipelago around the 3rd century CE, provides both a window into the past of North Africa and a unique model to explore the effects of insularity. We generate genome-wide data from 40 individuals from the seven islands, dated between the 3rd-16rd centuries CE. Along with components already present in Moroccan Neolithic populations, the Canarian natives show signatures related to Bronze Age expansions in Eurasia and trans-Saharan migrations. The lack of gene flow between islands and constant or decreasing effective population sizes suggest that populations were isolated. While some island populations maintained relatively high genetic diversity, with the only detected bottleneck coinciding with the colonization time, other islands with fewer natural resources show the effects of insularity and isolation. Finally, consistent genetic differentiation between eastern and western islands points to a more complex colonization process than previously thought.
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Affiliation(s)
- Javier G Serrano
- Evolution, Paleogenomics and Population Genetics Group, Department of Biochemistry, Microbiology, Cell Biology and Genetics, Universidad de La Laguna, San Cristóbal de La Laguna, Santa Cruz de Tenerife, Spain
| | - Alejandra C Ordóñez
- Tarha Group, Department of Historical Sciences, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Las Palmas, Spain
| | - Jonathan Santana
- Tarha Group, Department of Historical Sciences, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Las Palmas, Spain
| | - Elías Sánchez-Cañadillas
- Tarha Group, Department of Historical Sciences, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Las Palmas, Spain
| | - Matilde Arnay
- Bioanthropology: Paleopathology, Diet and Nutrition in Ancient Populations Group, Department of Prehistory, Anthropology and Ancient History, Universidad de La Laguna, San Cristóbal de La Laguna, Santa Cruz de Tenerife, Spain
| | - Amelia Rodríguez-Rodríguez
- Tarha Group, Department of Historical Sciences, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Las Palmas, Spain
| | - Jacob Morales
- Tarha Group, Department of Historical Sciences, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Las Palmas, Spain
| | - Javier Velasco-Vázquez
- Servicio de Patrimonio Histórico, Cabildo de Gran Canaria, Las Palmas de Gran Canaria, Las Palmas, Spain
| | | | | | | | - Juan Carlos Hernández
- Museo Arqueológico de La Gomera, San Sebastián de La Gomera, Santa Cruz de Tenerife, Spain
| | | | - Jorge Pais
- Museo Arqueológico Benahoarita, Los Llanos de Aridane, Santa Cruz de Tenerife, Spain
| | - Harald Ringbauer
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Martin Sikora
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Hugh McColl
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Maria Pino-Yanes
- Genomics and Health Group, Department of Biochemistry, Microbiology, Cell Biology and Genetics, Universidad de La Laguna, San Cristóbal de La Laguna, Santa Cruz de Tenerife, Spain
- CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain
| | - Mariano Hernández Ferrer
- Molecular Genetics and Biodiversity Group, Department of Biochemistry, Microbiology, Cell Biology and Genetics, Universidad de La Laguna, San Cristóbal de La Laguna, Santa Cruz de Tenerife, Spain
| | | | - Rosa Fregel
- Evolution, Paleogenomics and Population Genetics Group, Department of Biochemistry, Microbiology, Cell Biology and Genetics, Universidad de La Laguna, San Cristóbal de La Laguna, Santa Cruz de Tenerife, Spain.
- Department of Genetics, Stanford University, Stanford, CA, USA.
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28
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Ferraz T, Suarez Villagran X, Nägele K, Radzevičiūtė R, Barbosa Lemes R, Salazar-García DC, Wesolowski V, Lopes Alves M, Bastos M, Rapp Py-Daniel A, Pinto Lima H, Mendes Cardoso J, Estevam R, Liryo A, Guimarães GM, Figuti L, Eggers S, Plens CR, Azevedo Erler DM, Valadares Costa HA, da Silva Erler I, Koole E, Henriques G, Solari A, Martin G, Serafim Monteiro da Silva SF, Kipnis R, Müller LM, Ferreira M, Carvalho Resende J, Chim E, da Silva CA, Borella AC, Tomé T, Müller Plumm Gomes L, Barros Fonseca D, Santos da Rosa C, de Moura Saldanha JD, Costa Leite L, Cunha CMS, Viana SA, Ozorio Almeida F, Klokler D, Fernandes HLA, Talamo S, DeBlasis P, Mendonça de Souza S, de Paula Moraes C, Elias Oliveira R, Hünemeier T, Strauss A, Posth C. Genomic history of coastal societies from eastern South America. Nat Ecol Evol 2023; 7:1315-1330. [PMID: 37524799 PMCID: PMC10406606 DOI: 10.1038/s41559-023-02114-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2022] [Accepted: 06/08/2023] [Indexed: 08/02/2023]
Abstract
Sambaqui (shellmound) societies are among the most intriguing archaeological phenomena in pre-colonial South America, extending from approximately 8,000 to 1,000 years before present (yr BP) across 3,000 km on the Atlantic coast. However, little is known about their connection to early Holocene hunter-gatherers, how this may have contributed to different historical pathways and the processes through which late Holocene ceramists came to rule the coast shortly before European contact. To contribute to our understanding of the population history of indigenous societies on the eastern coast of South America, we produced genome-wide data from 34 ancient individuals as early as 10,000 yr BP from four different regions in Brazil. Early Holocene hunter-gatherers were found to lack shared genetic drift among themselves and with later populations from eastern South America, suggesting that they derived from a common radiation and did not contribute substantially to later coastal groups. Our analyses show genetic heterogeneity among contemporaneous Sambaqui groups from the southeastern and southern Brazilian coast, contrary to the similarity expressed in the archaeological record. The complex history of intercultural contact between inland horticulturists and coastal populations becomes genetically evident during the final horizon of Sambaqui societies, from around 2,200 yr BP, corroborating evidence of cultural change.
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Affiliation(s)
- Tiago Ferraz
- Institute of Biosciences, Genetics Department, University of São Paulo, São Paulo, Brazil
- Museum of Archaeology and Ethnology, University of São Paulo, São Paulo, Brazil
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | | | - Kathrin Nägele
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Rita Radzevičiūtė
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Renan Barbosa Lemes
- Institute of Biosciences, Genetics Department, University of São Paulo, São Paulo, Brazil
| | - Domingo C Salazar-García
- Departament de Prehistòria, Arqueologia i Història Antiga, Universitat de València, València, Spain
- Department of Geological Sciences, University of Cape Town, Cape Town, South Africa
| | - Verônica Wesolowski
- Museum of Archaeology and Ethnology, University of São Paulo, São Paulo, Brazil
| | - Marcony Lopes Alves
- Museum of Archaeology and Ethnology, University of São Paulo, São Paulo, Brazil
| | - Murilo Bastos
- Departamento de Antropologia, Museu Nacional, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | | | | | - Jéssica Mendes Cardoso
- Museum of Archaeology and Ethnology, University of São Paulo, São Paulo, Brazil
- Géosciences Environnement Toulouse, Observatoire Midi Pyrénées, UMR 5563, CNRS, Toulouse, France
| | - Renata Estevam
- Museum of Archaeology and Ethnology, University of São Paulo, São Paulo, Brazil
| | - Andersen Liryo
- National Museum, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Geovan M Guimarães
- Grupo de Pesquisa em Educação Patrimonial e Arqueologia (Grupep), Universidade do Sul de Santa Catarina, Santa Catarina, Brazil
| | - Levy Figuti
- Museum of Archaeology and Ethnology, University of São Paulo, São Paulo, Brazil
| | | | - Cláudia R Plens
- Laboratory of Archaeological Studies, Department of History, Federal University of São Paulo, São Paulo, Brazil
| | | | | | | | | | | | - Ana Solari
- Fundação Museu do Homem Americano, Piauí, Brazil
| | | | | | | | - Letícia Morgana Müller
- Scientia Consultoria Científica, São Paulo, Brazil
- Department of Archaeology, Max Planck Institute for the Science of Human History, Jena, Germany
| | - Mariane Ferreira
- Museum of Archaeology and Ethnology, University of São Paulo, São Paulo, Brazil
- Scientia Consultoria Científica, São Paulo, Brazil
| | - Janine Carvalho Resende
- Instituto Goiano de Pré-história e Arqueologia, Pontifícia Universidade Católica de Goiás, Goiânia, Brazil
| | - Eliane Chim
- Museum of Archaeology and Ethnology, University of São Paulo, São Paulo, Brazil
| | | | - Ana Claudia Borella
- Museum of Archaeology and Ethnology, University of São Paulo, São Paulo, Brazil
| | - Tiago Tomé
- Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Lisiane Müller Plumm Gomes
- Institute of Biosciences, Genetics Department, University of São Paulo, São Paulo, Brazil
- Museum of Archaeology and Ethnology, University of São Paulo, São Paulo, Brazil
| | | | | | - João Darcy de Moura Saldanha
- Universidade de Évora, Évora, Portugal
- Instituto de Pesquisas Científicas e Tecnológicas do Estado do Amapá (IEPA), Macapá, Brazil
| | - Lúcio Costa Leite
- Instituto de Pesquisas Científicas e Tecnológicas do Estado do Amapá (IEPA), Macapá, Brazil
| | - Claudia M S Cunha
- Federal University of Piauí, Piauí, Brazil
- Centro de Investigação em Antropologia e Saúde, Universidade de Coimbra, Coimbra, Portugal
| | - Sibeli Aparecida Viana
- Instituto Goiano de Pré-história e Arqueologia, Pontifícia Universidade Católica de Goiás, Goiânia, Brazil
| | - Fernando Ozorio Almeida
- Programa de Pós-Graduação em Arqueologia, Universidade Federal de Sergipe, Sergipe, Brazil
- Departamento de Arqueologia, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Daniela Klokler
- Programa de Pós-Graduação em Arqueologia, Universidade Federal de Sergipe, Sergipe, Brazil
- Departamento de Antropologia e Arqueologia, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Henry Luydy Abraham Fernandes
- Programa de Pós-Graduação em Arqueologia e Patrimônio Cultural, Universidade Federal do Recôncavo da Bahia, Bahia, Brazil
| | - Sahra Talamo
- Department of Chemistry G. Ciamician, Alma Mater Studiorum, University of Bologna, Bologna, Italy
- Department of Human Evolution, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Paulo DeBlasis
- Museum of Archaeology and Ethnology, University of São Paulo, São Paulo, Brazil
| | | | | | - Rodrigo Elias Oliveira
- Institute of Biosciences, Genetics Department, University of São Paulo, São Paulo, Brazil
| | - Tábita Hünemeier
- Institute of Biosciences, Genetics Department, University of São Paulo, São Paulo, Brazil.
- Institut de Biologia Evolutiva, CSIC/Universitat Pompeu Fabra, Barcelona, Spain.
| | - André Strauss
- Museum of Archaeology and Ethnology, University of São Paulo, São Paulo, Brazil.
| | - Cosimo Posth
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.
- Archaeo- and Palaeogenetics, Institute for Archaeological Sciences, Department of Geosciences, University of Tübingen, Tübingen, Germany.
- Senckenberg Centre for Human Evolution and Palaeoenvironment, University of Tübingen, Tübingen, Germany.
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29
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Salazar L, Burger R, Forst J, Barquera R, Nesbitt J, Calero J, Washburn E, Verano J, Zhu K, Sop K, Kassadjikova K, Ibarra Asencios B, Davidson R, Bradley B, Krause J, Fehren-Schmitz L. Insights into the genetic histories and lifeways of Machu Picchu's occupants. SCIENCE ADVANCES 2023; 9:eadg3377. [PMID: 37494435 DOI: 10.1126/sciadv.adg3377] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 06/23/2023] [Indexed: 07/28/2023]
Abstract
Machu Picchu originally functioned as a palace within the estate of the Inca emperor Pachacuti between ~1420 and 1532 CE. Before this study, little was known about the people who lived and died there, where they came from or how they were related to the inhabitants of the Inca capital of Cusco. We generated genome-wide data for 34 individuals buried at Machu Picchu who are believed to have been retainers or attendants assigned to serve the Inca royal family, as well as 34 individuals from Cusco for comparative purposes. When the ancient DNA results are contextualized using historical and archaeological data, we conclude that the retainer population at Machu Picchu was highly heterogeneous with individuals exhibiting genetic ancestries associated with groups from throughout the Inca Empire and Amazonia. The results suggest a diverse retainer community at Machu Picchu in which people of different genetic backgrounds lived, reproduced, and were interred together.
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Affiliation(s)
- Lucy Salazar
- Department of Anthropology, Yale University, New Haven, CT 06511-3707, USA
- Department of Archaeology, Universidad Nacional de San Antonio Abad del Cusco, Cusco 08006, Peru
| | - Richard Burger
- Department of Anthropology, Yale University, New Haven, CT 06511-3707, USA
| | - Janine Forst
- UCSC Paleogenomics Lab, Department of Anthropology, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Rodrigo Barquera
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, 04103, Germany
| | - Jason Nesbitt
- Department of Anthropology, Tulane University, New Orleans, LA 70118, USA
| | - Jorge Calero
- Department of Archaeology, Universidad Nacional de San Antonio Abad del Cusco, Cusco 08006, Peru
| | - Eden Washburn
- UCSC Paleogenomics Lab, Department of Anthropology, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - John Verano
- Department of Anthropology, Tulane University, New Orleans, LA 70118, USA
| | - Kimberly Zhu
- Department of Anthropology, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Korey Sop
- UCSC Paleogenomics Lab, Department of Anthropology, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Kalina Kassadjikova
- UCSC Paleogenomics Lab, Department of Anthropology, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Bebel Ibarra Asencios
- Department of Anthropology, Tulane University, New Orleans, LA 70118, USA
- Department of Archaeology, Universidad Nacional Santiago Antúnez de Mayolo, Huaraz 02002, Peru
| | - Roberta Davidson
- Australian Centre for Ancient DNA, School of Biological Sciences and The Environment Institute, Adelaide University, Adelaide, SA 5005, Australia
| | - Brenda Bradley
- Department of Anthropology, Center for the Advanced Study of Human Paleobiology, The George Washington University, Washington, DC 20052, USA
| | - Johannes Krause
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, 04103, Germany
| | - Lars Fehren-Schmitz
- UCSC Paleogenomics Lab, Department of Anthropology, University of California Santa Cruz, Santa Cruz, CA 95064, USA
- UCSC Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA 95060, USA
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30
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Tuncay IO, DeVries D, Gogate A, Kaur K, Kumar A, Xing C, Goodspeed K, Seyoum-Tesfa L, Chahrour MH. The genetics of autism spectrum disorder in an East African familial cohort. CELL GENOMICS 2023; 3:100322. [PMID: 37492102 PMCID: PMC10363748 DOI: 10.1016/j.xgen.2023.100322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 03/09/2023] [Accepted: 04/16/2023] [Indexed: 07/27/2023]
Abstract
Autism spectrum disorder (ASD) is a group of complex neurodevelopmental conditions affecting communication and social interaction in 2.3% of children. Studies that demonstrated its complex genetic architecture have been mainly performed in populations of European ancestry. We investigate the genetics of ASD in an East African cohort (129 individuals) from a population with higher prevalence (5%). Whole-genome sequencing identified 2.13 million private variants in the cohort and potentially pathogenic variants in known ASD genes (including CACNA1C, CHD7, FMR1, and TCF7L2). Admixture analysis demonstrated that the cohort comprises two ancestral populations, African and Eurasian. Admixture mapping discovered 10 regions that confer ASD risk on the African haplotypes, containing several known ASD genes. The increased ASD prevalence in this population suggests decreased heterogeneity in the underlying genetic etiology, enabling risk allele identification. Our approach emphasizes the power of African genetic variation and admixture analysis to inform the architecture of complex disorders.
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Affiliation(s)
- Islam Oguz Tuncay
- Department of Neuroscience, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Darlene DeVries
- Eugene McDermott Center for Human Growth and Development, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Ashlesha Gogate
- Eugene McDermott Center for Human Growth and Development, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Kiran Kaur
- Eugene McDermott Center for Human Growth and Development, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Ashwani Kumar
- Eugene McDermott Center for Human Growth and Development, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Chao Xing
- Eugene McDermott Center for Human Growth and Development, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
- Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
- Lyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Kimberly Goodspeed
- Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
- Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | | | - Maria H Chahrour
- Department of Neuroscience, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
- Eugene McDermott Center for Human Growth and Development, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
- Center for the Genetics of Host Defense, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
- Peter O'Donnell Jr. Brain Institute, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
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31
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Niang K, Blinkhorn J, Bateman MD, Kiahtipes CA. Longstanding behavioural stability in West Africa extends to the Middle Pleistocene at Bargny, coastal Senegal. Nat Ecol Evol 2023; 7:1141-1151. [PMID: 37142742 PMCID: PMC10333124 DOI: 10.1038/s41559-023-02046-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Accepted: 03/24/2023] [Indexed: 05/06/2023]
Abstract
Middle Stone Age (MSA) technologies first appear in the archaeological records of northern, eastern and southern Africa during the Middle Pleistocene epoch. The absence of MSA sites from West Africa limits evaluation of shared behaviours across the continent during the late Middle Pleistocene and the diversity of subsequent regionalized trajectories. Here we present evidence for the late Middle Pleistocene MSA occupation of the West African littoral at Bargny, Senegal, dating to 150 thousand years ago. Palaeoecological evidence suggests that Bargny was a hydrological refugium during the MSA occupation, supporting estuarine conditions during Middle Pleistocene arid phases. The stone tool technology at Bargny presents characteristics widely shared across Africa in the late Middle Pleistocene but which remain uniquely stable in West Africa to the onset of the Holocene. We explore how the persistent habitability of West African environments, including mangroves, contributes to distinctly West African trajectories of behavioural stability.
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Affiliation(s)
- Khady Niang
- Département d'Histoire, Université Cheikh Anta Diop de Dakar, Dakar, Senegal.
- Pan-African Evolution Research Group, Max Planck Institute for the Science of Human History, Jena, Germany.
| | - James Blinkhorn
- Pan-African Evolution Research Group, Max Planck Institute for the Science of Human History, Jena, Germany.
- Centre for Quaternary Research, Department of Geography, Royal Holloway, University of London, Egham, UK.
| | - Mark D Bateman
- Department of Geography, University of Sheffield, Sheffield, UK
| | - Christopher A Kiahtipes
- Institute for the Advanced Study of Culture and the Environment, University of South Florida, Tampa, FL, USA
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32
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Gibbon VE, Feris L, Gretzinger J, Smith K, Hall S, Penn N, Mutsvangwa TEM, Heale M, Finaughty DA, Karanja YW, Esterhuyse J, Kotze D, Barnes N, Gunston G, May J, Krause J, Wilkinson CM, Schiffels S, Februarie D, Alves S, Sealy JC. Confronting historical legacies of biological anthropology in South Africa-Restitution, redress and community-centered science: The Sutherland Nine. PLoS One 2023; 18:e0284785. [PMID: 37224187 DOI: 10.1371/journal.pone.0284785] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2022] [Accepted: 04/05/2023] [Indexed: 05/26/2023] Open
Abstract
We describe a process of restitution of nine unethically acquired human skeletons to their families, together with attempts at redress. Between 1925-1927 C.E., the skeletonised remains of nine San or Khoekhoe people, eight of them known-in-life, were removed from their graves on the farm Kruisrivier, near Sutherland in the Northern Cape Province of South Africa. They were donated to the Anatomy Department at the University of Cape Town. This was done without the knowledge or permission of their families. The donor was a medical student who removed the remains from the labourers' cemetery on his family farm. Nearly 100 years later, the remains are being returned to their community, accompanied by a range of community-driven interdisciplinary historical, archaeological and analytical (osteobiographic, craniofacial, ancient DNA, stable isotope) studies to document, as far as possible, their lives and deaths. The restitution process began by contacting families living in the same area with the same surnames as the deceased. The restitution and redress process prioritises the descendant families' memories, wishes and desire to understand the situation, and learn more about their ancestors. The descendant families have described the process as helping them to reconnect with their ancestors. A richer appreciation of their ancestors' lives, gained in part from scientific analyses, culminating with reburial, is hoped to aid the descendant families and wider community in [re-]connecting with their heritage and culture, and contribute to restorative justice, reconciliation and healing while confronting a traumatic historical moment. While these nine individuals were exhumed as specimens, they will be reburied as people.
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Affiliation(s)
- Victoria E Gibbon
- Division of Clinical Anatomy and Biological Anthropology, Department of Human Biology, University of Cape Town, Cape Town, South Africa
| | - Loretta Feris
- Department of Public Law, University of Cape Town, Cape Town, South Africa
| | - Joscha Gretzinger
- Max Planck Institute for the Science of Human History, Jena, Germany
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Kathryn Smith
- Face Lab, Liverpool John Moores University, Liverpool, United Kingdom
- VIZ.Lab, Department of Visual Arts, Stellenbosch University, Stellenbosch South Africa
| | - Simon Hall
- Department of Archaeology, University of Cape Town, Cape Town, South Africa
| | - Nigel Penn
- Department of History, University of Cape Town, Cape Town, South Africa
| | - Tinashe E M Mutsvangwa
- Division of Biomedical Engineering, Department of Human Biology, University of Cape Town, Cape Town, South Africa
| | - Michaela Heale
- Department of Archaeology, University of Cape Town, Cape Town, South Africa
| | - Devin A Finaughty
- Division of Clinical Anatomy and Biological Anthropology, Department of Human Biology, University of Cape Town, Cape Town, South Africa
- School of Chemistry and Forensic Science, Division of Natural Sciences, University of Kent, Canterbury, United Kingdom
| | - Yvonne W Karanja
- Division of Biomedical Engineering, Department of Human Biology, University of Cape Town, Cape Town, South Africa
| | | | - Daniël Kotze
- Division of Clinical Anatomy and Biological Anthropology, Department of Human Biology, University of Cape Town, Cape Town, South Africa
| | - Nina Barnes
- Office for Inclusivity & Change, Office of the Deputy Vice Chancellor for Transformation: University of Cape Town, Cape Town, South Africa
| | - Geney Gunston
- Division of Clinical Anatomy and Biological Anthropology, Department of Human Biology, University of Cape Town, Cape Town, South Africa
| | - Je'nine May
- Office for Inclusivity & Change, Office of the Deputy Vice Chancellor for Transformation: University of Cape Town, Cape Town, South Africa
| | - Johannes Krause
- Max Planck Institute for the Science of Human History, Jena, Germany
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | | | - Stephan Schiffels
- Max Planck Institute for the Science of Human History, Jena, Germany
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | | | - Sianne Alves
- Office for Inclusivity & Change, Office of the Deputy Vice Chancellor for Transformation: University of Cape Town, Cape Town, South Africa
| | - Judith C Sealy
- Department of Archaeology, University of Cape Town, Cape Town, South Africa
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Pless E, Eckburg AM, Henn BM. Predicting Environmental and Ecological Drivers of Human Population Structure. Mol Biol Evol 2023; 40:msad094. [PMID: 37146165 PMCID: PMC10172848 DOI: 10.1093/molbev/msad094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 03/30/2023] [Accepted: 04/03/2023] [Indexed: 05/07/2023] Open
Abstract
Landscape, climate, and culture can all structure human populations, but few existing methods are designed to simultaneously disentangle among a large number of variables in explaining genetic patterns. We developed a machine learning method for identifying the variables which best explain migration rates, as measured by the coalescent-based program MAPS that uses shared identical by descent tracts to infer spatial migration across a region of interest. We applied our method to 30 human populations in eastern Africa with high-density single nucleotide polymorphism array data. The remarkable diversity of ethnicities, languages, and environments in this region offers a unique opportunity to explore the variables that shape migration and genetic structure. We explored more than 20 spatial variables relating to landscape, climate, and presence of tsetse flies. The full model explained ∼40% of the variance in migration rate over the past 56 generations. Precipitation, minimum temperature of the coldest month, and elevation were the variables with the highest impact. Among the three groups of tsetse flies, the most impactful was fusca which transmits livestock trypanosomiasis. We also tested for adaptation to high elevation among Ethiopian populations. We did not identify well-known genes related to high elevation, but we did find signatures of positive selection related to metabolism and disease. We conclude that the environment has influenced the migration and adaptation of human populations in eastern Africa; the remaining variance in structure is likely due in part to cultural or other factors not captured in our model.
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Affiliation(s)
- Evlyn Pless
- Department of Anthropology, Center for Population Biology, University of California, Davis, CA
| | - Anders M Eckburg
- Department of Anthropology, Center for Population Biology, University of California, Davis, CA
| | - Brenna M Henn
- Department of Anthropology, Center for Population Biology, University of California, Davis, CA
- UC Davis Genome Center, University of California, Davis, CA
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34
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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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35
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Daniels RJ, D'Amato ME, Lesaoana M, Kasu M, Ehlers K, Chauke PA, Lecheko P, Challis S, Rockett K, Montinaro F, González-Santos M, Capelli C. Genetic heritage of the Baphuthi highlights an over-ethnicized notion of "Bushman" in the Maloti-Drakensberg, southern Africa. Am J Hum Genet 2023; 110:880-894. [PMID: 37105174 PMCID: PMC10183465 DOI: 10.1016/j.ajhg.2023.03.018] [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: 05/25/2022] [Accepted: 03/27/2023] [Indexed: 04/29/2023] Open
Abstract
Using contemporary people as proxies for ancient communities is a contentious but necessary practice in anthropology. In southern Africa, the distinction between the Cape KhoeSan and eastern KhoeSan remains unclear, as ethnicity labels have been changed through time and most communities were decimated if not extirpated. The eastern KhoeSan may have had genetic distinctions from neighboring communities who speak Bantu languages and KhoeSan further away; alternatively, the identity may not have been tied to any notion of biology, instead denoting communities with a nomadic "lifeway" distinct from African agro-pastoralism. The Baphuthi of the 1800s in the Maloti-Drakensberg, southern Africa had a substantial KhoeSan constituency and a lifeway of nomadism, cattle raiding, and horticulture. Baphuthi heritage could provide insights into the history of the eastern KhoeSan. We examine genetic affinities of 23 Baphuthi to discern whether the narrative of KhoeSan descent reflects distinct genetic ancestry. Genome-wide SNP data (Illumina GSA) were merged with 52 global populations, for 160,000 SNPs. Genetic analyses show no support for a unique eastern KhoeSan ancestry distinct from other KhoeSan or southern Bantu speakers. The Baphuthi have strong affinities with early-arriving southern Bantu-speaking (Nguni) communities, as the later-arriving non-Nguni show strong evidence of recent African admixture possibly related to late-Iron Age migrations. The references to communities as "San" and "Bushman" in historic literature has often been misconstrued as notions of ethnic/biological distinctions. The terms may have reflected ambiguous references to non-sedentary polities instead, as seems to be the case for the eastern "Bushman" heritage of the Baphuthi.
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Affiliation(s)
- Ryan Joseph Daniels
- Department of Zoology, University of Oxford, Oxford, OX1 3SZ Oxfordshire, UK; Forensic DNA Laboratory, Department of Biotechnology, University of the Western Cape, Cape Town 7535, South Africa.
| | - Maria Eugenia D'Amato
- Forensic DNA Laboratory, Department of Biotechnology, University of the Western Cape, Cape Town 7535, South Africa
| | - Mpasi Lesaoana
- Forensic DNA Laboratory, Department of Biotechnology, University of the Western Cape, Cape Town 7535, South Africa; Lesotho Mounted Police Service, Technical Support Services, Maseru 100, Lesotho
| | - Mohaimin Kasu
- Forensic DNA Laboratory, Department of Biotechnology, University of the Western Cape, Cape Town 7535, South Africa
| | - Karen Ehlers
- Department of Genetics, University of the Free State, Bloemfontein 9300, South Africa
| | - Paballo Abel Chauke
- 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
| | - Puseletso Lecheko
- Rock Art Research Institute, School of Geography, Archaeology and Environmental Studies, University of the Witwatersrand, Johannesburg 2050, South Africa
| | - Sam Challis
- Rock Art Research Institute, School of Geography, Archaeology and Environmental Studies, University of the Witwatersrand, Johannesburg 2050, South Africa
| | - Kirk Rockett
- Wellcome Centre for Human Genomics, Oxford, OX3 7BN Oxfordshire, UK
| | - Francesco Montinaro
- Department of Zoology, University of Oxford, Oxford, OX1 3SZ Oxfordshire, UK; Department of Biology-Genetics, University of Bari, Via E. Orabona, 4, 70124 Bari, Italy
| | | | - Cristian Capelli
- Department of Zoology, University of Oxford, Oxford, OX1 3SZ Oxfordshire, UK; Dipartimento delle Scienze Chimiche, della Vita e della Sostenibilità Ambientale, Università di Parma, 43121 Parma, Italy.
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36
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Bird N, Ormond L, Awah P, Caldwell EF, Connell B, Elamin M, Fadlelmola FM, Matthew Fomine FL, López S, MacEachern S, Moñino Y, Morris S, Näsänen-Gilmore P, Nketsia V NK, Veeramah K, Weale ME, Zeitlyn D, Thomas MG, Bradman N, Hellenthal G. Dense sampling of ethnic groups within African countries reveals fine-scale genetic structure and extensive historical admixture. SCIENCE ADVANCES 2023; 9:eabq2616. [PMID: 36989356 PMCID: PMC10058250 DOI: 10.1126/sciadv.abq2616] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Accepted: 02/27/2023] [Indexed: 06/19/2023]
Abstract
Previous studies have highlighted how African genomes have been shaped by a complex series of historical events. Despite this, genome-wide data have only been obtained from a small proportion of present-day ethnolinguistic groups. By analyzing new autosomal genetic variation data of 1333 individuals from over 150 ethnic groups from Cameroon, Republic of the Congo, Ghana, Nigeria, and Sudan, we demonstrate a previously underappreciated fine-scale level of genetic structure within these countries, for example, correlating with historical polities in western Cameroon. By comparing genetic variation patterns among populations, we infer that many northern Cameroonian and Sudanese groups share genetic links with multiple geographically disparate populations, likely resulting from long-distance migrations. In Ghana and Nigeria, we infer signatures of intermixing dated to over 2000 years ago, corresponding to reports of environmental transformations possibly related to climate change. We also infer recent intermixing signals in multiple African populations, including Congolese, that likely relate to the expansions of Bantu language-speaking peoples.
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Affiliation(s)
- Nancy Bird
- Department of Genetics, Evolution and Environment, University College London Genetics Institute (UGI), University College London, London, UK
| | - Louise Ormond
- Department of Genetics, Evolution and Environment, University College London Genetics Institute (UGI), University College London, London, UK
| | - Paschal Awah
- Faculty of Arts, Letters and Social Sciences, University of Yaoundé I, Yaoundé, Cameroon
| | | | - Bruce Connell
- Linguistics and Language Studies Program, York University, Toronto, Ontario, Canada
| | | | - Faisal M. Fadlelmola
- Kush Centre for Genomics and Biomedical Informatics, Biotechnology Perspectives Organisation, Khartoum, Sudan
| | | | | | - Scott MacEachern
- Division of Social Science, Duke Kunshan University, Kunshan, China
| | | | - Sam Morris
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Pieta Näsänen-Gilmore
- Tampere Centre for Child, Adolescent and Maternal Health Research: Global Health Group, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Department for Health Promotion, Finnish Institute for Health and Welfare, Helsinki, Finland
| | | | - Krishna Veeramah
- Department of Ecology and Evolution, Stony Brook University, Stony Brook, NY, USA
| | | | - David Zeitlyn
- School of Anthropology and Museum Ethnography, University of Oxford, Oxford, UK
| | - Mark G. Thomas
- Department of Genetics, Evolution and Environment, University College London Genetics Institute (UGI), University College London, London, UK
| | | | - Garrett Hellenthal
- Department of Genetics, Evolution and Environment, University College London Genetics Institute (UGI), University College London, London, UK
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37
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Wang H, Yang MA, Wangdue S, Lu H, Chen H, Li L, Dong G, Tsring T, Yuan H, He W, Ding M, Wu X, Li S, Tashi N, Yang T, Yang F, Tong Y, Chen Z, He Y, Cao P, Dai Q, Liu F, Feng X, Wang T, Yang R, Ping W, Zhang Z, Gao Y, Zhang M, Wang X, Zhang C, Yuan K, Ko AMS, Aldenderfer M, Gao X, Xu S, Fu Q. Human genetic history on the Tibetan Plateau in the past 5100 years. SCIENCE ADVANCES 2023; 9:eadd5582. [PMID: 36930720 PMCID: PMC10022901 DOI: 10.1126/sciadv.add5582] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/18/2022] [Accepted: 02/13/2023] [Indexed: 06/18/2023]
Abstract
Using genome-wide data of 89 ancient individuals dated to 5100 to 100 years before the present (B.P.) from 29 sites across the Tibetan Plateau, we found plateau-specific ancestry across plateau populations, with substantial genetic structure indicating high differentiation before 2500 B.P. Northeastern plateau populations rapidly showed admixture associated with millet farmers by 4700 B.P. in the Gonghe Basin. High genetic similarity on the southern and southwestern plateau showed population expansion along the Yarlung Tsangpo River since 3400 years ago. Central and southeastern plateau populations revealed extensive genetic admixture within the plateau historically, with substantial ancestry related to that found in southern and southwestern plateau populations. Over the past ~700 years, substantial gene flow from lowland East Asia further shaped the genetic landscape of present-day plateau populations. The high-altitude adaptive EPAS1 allele was found in plateau populations as early as in a 5100-year-old individual and showed a sharp increase over the past 2800 years.
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Affiliation(s)
- Hongru Wang
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing 100044, China
| | - Melinda A. Yang
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing 100044, China
- Department of Biology, University of Richmond, Richmond, VA 23173, USA
| | - Shargan Wangdue
- Tibet Institute for Conservation and Research of Cultural Relics, Lhasa 850000, China
| | - Hongliang Lu
- School of Archaeology and Museology, Sichuan University, Chengdu 610064, China
- Center for Archaeological Science, Sichuan University, Chengdu 610064, China
| | - Honghai Chen
- School of Cultural Heritage, Northwest University, Xi’an 710069, China
| | - Linhui Li
- Tibet Institute for Conservation and Research of Cultural Relics, Lhasa 850000, China
| | - Guanghui Dong
- Key Laboratory of Western China’s Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
| | - Tinley Tsring
- Tibet Institute for Conservation and Research of Cultural Relics, Lhasa 850000, China
| | - Haibing Yuan
- School of Archaeology and Museology, Sichuan University, Chengdu 610064, China
- Center for Archaeological Science, Sichuan University, Chengdu 610064, China
| | - Wei He
- Tibet Institute for Conservation and Research of Cultural Relics, Lhasa 850000, China
| | - Manyu Ding
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing 100044, China
- University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Xiaohong Wu
- School of Archaeology and Museology, Peking University, Beijing 100871, China
| | - Shuai Li
- School of Archaeology and Museology, Sichuan University, Chengdu 610064, China
- Center for Archaeological Science, Sichuan University, Chengdu 610064, China
| | - Norbu Tashi
- Tibet Institute for Conservation and Research of Cultural Relics, Lhasa 850000, China
| | - Tsho Yang
- Tibet Institute for Conservation and Research of Cultural Relics, Lhasa 850000, China
| | - Feng Yang
- School of Archaeology and Museology, Sichuan University, Chengdu 610064, China
- Center for Archaeological Science, Sichuan University, Chengdu 610064, China
| | - Yan Tong
- Tibet Institute for Conservation and Research of Cultural Relics, Lhasa 850000, China
| | - Zujun Chen
- Tibet Institute for Conservation and Research of Cultural Relics, Lhasa 850000, China
| | - Yuanhong He
- School of Archaeology and Museology, Sichuan University, Chengdu 610064, China
- Center for Archaeological Science, Sichuan University, Chengdu 610064, China
| | - Peng Cao
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing 100044, China
| | - Qingyan Dai
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing 100044, China
| | - Feng Liu
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing 100044, China
| | - Xiaotian Feng
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing 100044, China
| | - Tianyi Wang
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing 100044, China
- University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Ruowei Yang
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing 100044, China
| | - Wanjing Ping
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing 100044, China
| | - Zhaoxia Zhang
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing 100044, China
| | - Yang Gao
- State Key Laboratory of Genetic Engineering, Center for Evolutionary Biology, Collaborative Innovation Center of Genetics and Development, School of Life Sciences, Fudan University, Shanghai 200438, China
- Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Ming Zhang
- School of Cultural Heritage, Northwest University, Xi’an 710069, China
| | - Xiaoji Wang
- Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Chao Zhang
- Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Kai Yuan
- Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Albert Min-Shan Ko
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing 100044, China
| | - Mark Aldenderfer
- Department of Anthropology and Heritage Studies, University of California, Merced, Merced, CA 95343, USA
| | - Xing Gao
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing 100044, China
- University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Shuhua Xu
- State Key Laboratory of Genetic Engineering, Center for Evolutionary Biology, Collaborative Innovation Center of Genetics and Development, School of Life Sciences, Fudan University, Shanghai 200438, China
- Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China
- Human Phenome Institute, Zhangjiang Fudan International Innovation Center, and Ministry of Education Key Laboratory of Contemporary Anthropology, Fudan University, Shanghai 201203, China
| | - Qiaomei Fu
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing 100044, China
- University of the Chinese Academy of Sciences, Beijing 100049, China
- Shanghai Qi Zhi Institute, Shanghai 200232, China
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38
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Fan S, Spence JP, Feng Y, Hansen MEB, Terhorst J, Beltrame MH, Ranciaro A, Hirbo J, Beggs W, Thomas N, Nyambo T, Mpoloka SW, Mokone GG, Njamnshi A, Folkunang C, Meskel DW, Belay G, Song YS, Tishkoff SA. Whole-genome sequencing reveals a complex African population demographic history and signatures of local adaptation. Cell 2023; 186:923-939.e14. [PMID: 36868214 PMCID: PMC10568978 DOI: 10.1016/j.cell.2023.01.042] [Citation(s) in RCA: 27] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2022] [Revised: 10/16/2022] [Accepted: 01/30/2023] [Indexed: 03/05/2023]
Abstract
We conduct high coverage (>30×) whole-genome sequencing of 180 individuals from 12 indigenous African populations. We identify millions of unreported variants, many predicted to be functionally important. We observe that the ancestors of southern African San and central African rainforest hunter-gatherers (RHG) diverged from other populations >200 kya and maintained a large effective population size. We observe evidence for ancient population structure in Africa and for multiple introgression events from "ghost" populations with highly diverged genetic lineages. Although currently geographically isolated, we observe evidence for gene flow between eastern and southern Khoesan-speaking hunter-gatherer populations lasting until ∼12 kya. We identify signatures of local adaptation for traits related to skin color, immune response, height, and metabolic processes. We identify a positively selected variant in the lightly pigmented San that influences pigmentation in vitro by regulating the enhancer activity and gene expression of PDPK1.
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Affiliation(s)
- Shaohua Fan
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, School of Life Science, Fudan University, Shanghai, 200438, China; Department of Genetics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jeffrey P Spence
- Department of Genetics, School of Medicine, Stanford University, Stanford, CA 94305, USA
| | - Yuanqing Feng
- Department of Genetics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Matthew E B Hansen
- Department of Genetics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jonathan Terhorst
- Department of Statistics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Marcia H Beltrame
- Department of Genetics, University of Pennsylvania, Philadelphia, PA 19104, 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
| | - William Beggs
- Department of Genetics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Neil Thomas
- Computer Science Division, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Thomas Nyambo
- Department of Biochemistry, Kampala International University in Tanzania, P.O. Box 9790, Dar es Salaam, Tanzania
| | - Sununguko Wata Mpoloka
- Department of Biological Sciences, Faculty of Science, University of Botswana Gaborone, Private Bag UB 0022, Gaborone, Botswana
| | - Gaonyadiwe George Mokone
- Department of Biomedical Sciences, Faculty of Medicine, University of Botswana Gaborone, Private Bag UB 0022, Gaborone, Botswana
| | - Alfred Njamnshi
- Department of Neurology, Central Hospital Yaoundé; Brain Research Africa Initiative (BRAIN), Neuroscience Lab, Faculty of Medicine and Biomedical Sciences, The University of Yaoundé I, P.O. Box 337, Yaoundé, Cameroon
| | - Charles Folkunang
- Department of Pharmacotoxicology and Pharmacokinetics, Faculty of Medicine and Biomedical Sciences, The University of Yaoundé I, P.O. Box 337, Yaoundé, Cameroon
| | - Dawit Wolde Meskel
- Department of Microbial Cellular and Molecular Biology, Addis Ababa University, P.O. Box 1176, Addis Ababa, Ethiopia
| | - Gurja Belay
- Department of Microbial Cellular and Molecular Biology, Addis Ababa University, P.O. Box 1176, Addis Ababa, Ethiopia
| | - Yun S Song
- Computer Science Division, University of California, Berkeley, Berkeley, CA 94720, USA; Department of Statistics, University of California, Berkeley, Berkeley, CA 94720, USA; Chan Zuckerberg Biohub, San Francisco, CA 94158, 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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Brielle ES, Fleisher J, Wynne-Jones S, Sirak K, Broomandkhoshbacht N, Callan K, Curtis E, Iliev L, Lawson AM, Oppenheimer J, Qiu L, Stewardson K, Workman JN, Zalzala F, Ayodo G, Gidna AO, Kabiru A, Kwekason A, Mabulla AZP, Manthi FK, Ndiema E, Ogola C, Sawchuk E, Al-Gazali L, Ali BR, Ben-Salem S, Letellier T, Pierron D, Radimilahy C, Rakotoarisoa JA, Raaum RL, Culleton BJ, Mallick S, Rohland N, Patterson N, Mwenje MA, Ahmed KB, Mohamed MM, Williams SR, Monge J, Kusimba S, Prendergast ME, Reich D, Kusimba CM. Entwined African and Asian genetic roots of medieval peoples of the Swahili coast. Nature 2023; 615:866-873. [PMID: 36991187 PMCID: PMC10060156 DOI: 10.1038/s41586-023-05754-w] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 01/24/2023] [Indexed: 03/31/2023]
Abstract
The urban peoples of the Swahili coast traded across eastern Africa and the Indian Ocean and were among the first practitioners of Islam among sub-Saharan people1,2. The extent to which these early interactions between Africans and non-Africans were accompanied by genetic exchange remains unknown. Here we report ancient DNA data for 80 individuals from 6 medieval and early modern (AD 1250-1800) coastal towns and an inland town after AD 1650. More than half of the DNA of many of the individuals from coastal towns originates from primarily female ancestors from Africa, with a large proportion-and occasionally more than half-of the DNA coming from Asian ancestors. The Asian ancestry includes components associated with Persia and India, with 80-90% of the Asian DNA originating from Persian men. Peoples of African and Asian origins began to mix by about AD 1000, coinciding with the large-scale adoption of Islam. Before about AD 1500, the Southwest Asian ancestry was mainly Persian-related, consistent with the narrative of the Kilwa Chronicle, the oldest history told by people of the Swahili coast3. After this time, the sources of DNA became increasingly Arabian, consistent with evidence of growing interactions with southern Arabia4. Subsequent interactions with Asian and African people further changed the ancestry of present-day people of the Swahili coast in relation to the medieval individuals whose DNA we sequenced.
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Affiliation(s)
- Esther S Brielle
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA.
| | | | - Stephanie Wynne-Jones
- Department of Archaeology, University of York, York, UK.
- University of South Africa, Pretoria, South Africa.
| | - Kendra Sirak
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Nasreen Broomandkhoshbacht
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
| | - Kim Callan
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
| | - Elizabeth Curtis
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
| | - Lora Iliev
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
| | - Ann Marie Lawson
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
| | - Jonas Oppenheimer
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Lijun Qiu
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
| | - Kristin Stewardson
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
| | - J Noah Workman
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Fatma Zalzala
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
| | - George Ayodo
- Jaramogi Oginga Odinga University of Science and Technology, Bondo, Kenya
| | | | - Angela Kabiru
- Department of Archaeology, National Museums of Kenya, Nairobi, Kenya
- British Institute of Eastern Africa, Nairobi, Kenya
| | | | - Audax Z P Mabulla
- Department of Archaeology and Heritage Studies, University of Dar es Salaam, Dar es Salaam, Tanzania
| | - Fredrick K Manthi
- Department of Earth Sciences, National Museums of Kenya, Nairobi, Kenya
| | - Emmanuel Ndiema
- Department of Earth Sciences, National Museums of Kenya, Nairobi, Kenya
| | - Christine Ogola
- Department of Earth Sciences, National Museums of Kenya, Nairobi, Kenya
| | - Elizabeth Sawchuk
- Cleveland Museum of Natural History, Cleveland, OH, USA
- Department of Anthropology, University of Alberta, Edmonton, Alberta, Canada
- Department of Anthropology, Stony Brook University, Stony Brook, NY, USA
| | - Lihadh Al-Gazali
- Department of Genetics and Genomics, College of Medicine and Health Sciences, United Arab Emirates University, Al-Ain, United Arab Emirates
| | - Bassam R Ali
- Department of Genetics and Genomics, College of Medicine and Health Sciences, United Arab Emirates University, Al-Ain, United Arab Emirates
| | - Salma Ben-Salem
- Department of Genetics and Genomics, College of Medicine and Health Sciences, United Arab Emirates University, Al-Ain, United Arab Emirates
| | - Thierry Letellier
- Laboratoire Evolution et Santé Orale, Faculté de Chirurgie Dentaire, Université Toulouse III-Paul Sabatier, Toulouse, France
| | - Denis Pierron
- Laboratoire Evolution et Santé Orale, Faculté de Chirurgie Dentaire, Université Toulouse III-Paul Sabatier, Toulouse, France
| | - Chantal Radimilahy
- Institut de Civilisations/Musée d'Art et d'Archéologie, Université d'Antananarivo, Antananarivo, Madagascar
| | - Jean-Aimé Rakotoarisoa
- Institut de Civilisations/Musée d'Art et d'Archéologie, Université d'Antananarivo, Antananarivo, Madagascar
| | - Ryan L Raaum
- Department of Anthropology, Lehman College and The Graduate Center, The City University of New York, New York, NY, USA
- The New York Consortium in Evolutionary Primatology, New York, NY, USA
| | - Brendan J Culleton
- Institutes of Energy and the Environment, The Pennsylvania State University, University Park, PA, USA
| | - Swapan Mallick
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Nadin Rohland
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Nick Patterson
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | | | | | | | - Sloan R Williams
- Department of Anthropology, University of Illinois at Chicago, Chicago, IL, USA
| | - Janet Monge
- University of Pennsylvania Museum of Archaeology and Anthropology, Philadelphia, PA, USA
| | - Sibel Kusimba
- Department of Anthropology, University of South Florida, Tampa, FL, USA
| | - Mary E Prendergast
- Department of Anthropology, Rice University, Houston, TX, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - David Reich
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA.
- Department of Genetics, Harvard Medical School, Boston, MA, USA.
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA.
- Broad Institute of Harvard and MIT, Cambridge, MA, USA.
| | - Chapurukha M Kusimba
- Department of Archaeology, National Museums of Kenya, Nairobi, Kenya.
- Department of Anthropology, University of South Florida, Tampa, FL, USA.
- Institute of African Studies, University of Nairobi, Museum Hill, Nairobi, Kenya.
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Abstract
Nearly 20 y ago, Jared Diamond and Peter Bellwood reviewed the evidence for the associated spread of farming and large language families by the demographic expansions of farmers. Since then, advances in obtaining and analyzing genomic data from modern and ancient populations have transformed our knowledge of human dispersals during the Holocene. Here, we provide an overview of Holocene dispersals in the light of genomic evidence and conclude that they have a complex history. Even when there is a demonstrated connection between a demographic expansion of people, the spread of agriculture, and the spread of a particular language family, the outcome in the results of contact between expanding and resident groups is highly variable. Further research is needed to identify the factors and social circumstances that have influenced this variation and complex history.
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Flegontov P, Işıldak U, Maier R, Yüncü E, Changmai P, Reich D. Modeling of African population history using f -statistics can be highly biased and is not addressed by previously suggested SNP ascertainment schemes. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.01.22.525077. [PMID: 36711923 PMCID: PMC9882349 DOI: 10.1101/2023.01.22.525077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
f -statistics have emerged as a first line of analysis for making inferences about demographic history from genome-wide data. These statistics can provide strong evidence for either admixture or cladality, which can be robust to substantial rates of errors or missing data. f -statistics are guaranteed to be unbiased under "SNP ascertainment" (analyzing non-randomly chosen subsets of single nucleotide polymorphisms) only if it relies on a population that is an outgroup for all groups analyzed. However, ascertainment on a true outgroup that is not co-analyzed with other populations is often impractical and uncommon in the literature. In this study focused on practical rather than theoretical aspects of SNP ascertainment, we show that many non-outgroup ascertainment schemes lead to false rejection of true demographic histories, as well as to failure to reject incorrect models. But the bias introduced by common ascertainments such as the 1240K panel is mostly limited to situations when more than one sub-Saharan African and/or archaic human groups (Neanderthals and Denisovans) or non-human outgroups are co-modelled, for example, f 4 -statistics involving one non-African group, two African groups, and one archaic group. Analyzing panels of SNPs polymorphic in archaic humans, which has been suggested as a solution for the ascertainment problem, cannot fix all these problems since for some classes of f -statistics it is not a clean outgroup ascertainment, and in other cases it demonstrates relatively low power to reject incorrect demographic models since it provides a relatively small number of variants common in anatomically modern humans. And due to the paucity of high-coverage archaic genomes, archaic individuals used for ascertainment often act as sole representatives of the respective groups in an analysis, and we show that this approach is highly problematic. By carrying out large numbers of simulations of diverse demographic histories, we find that bias in inferences based on f -statistics introduced by non-outgroup ascertainment can be minimized if the derived allele frequency spectrum in the population used for ascertainment approaches the spectrum that existed at the root of all groups being co-analyzed. Ascertaining on sites with variants common in a diverse group of African individuals provides a good approximation to such a set of SNPs, addressing the great majority of biases and also retaining high statistical power for studying population history. Such a "pan-African" ascertainment, although not completely problem-free, allows unbiased exploration of demographic models for the widest set of archaic and modern human populations, as compared to the other ascertainment schemes we explored.
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Affiliation(s)
- Pavel Flegontov
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Department of Biology and Ecology, Faculty of Science, University of Ostrava, Ostrava, Czechia
- Kalmyk Research Center of the Russian Academy of Sciences, Elista, Russia
| | - Ulaş Işıldak
- Department of Biology and Ecology, Faculty of Science, University of Ostrava, Ostrava, Czechia
| | - Robert Maier
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
| | - Eren Yüncü
- Department of Biology and Ecology, Faculty of Science, University of Ostrava, Ostrava, Czechia
| | - Piya Changmai
- Department of Biology and Ecology, Faculty of Science, University of Ostrava, Ostrava, Czechia
| | - David Reich
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
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42
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Wang K, Bleasdale M, Le Moyne C, Freund C, Krause J, Boivin N, Schiffels S. 4000-year-old hair from the Middle Nile highlights unusual ancient DNA degradation pattern and a potential source of early eastern Africa pastoralists. Sci Rep 2022; 12:20939. [PMID: 36463384 PMCID: PMC9719486 DOI: 10.1038/s41598-022-25384-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Accepted: 11/29/2022] [Indexed: 12/07/2022] Open
Abstract
Petrous bones and teeth are the skeletal elements most often targeted by researchers for ancient DNA (aDNA) extraction, and the sources of the majority of previously published ancient African genomes. However, the high temperature environments that characterise much of Africa often lead to poor preservation of skeletal remains. Here, we successfully reconstruct and analyse genome-wide data from the naturally mummified hair of a 4000-year-old individual from Sudan in northeastern Africa, after failed attempts at DNA extraction from teeth, petrous, and cranium of this and other individuals from the Kadruka cemeteries. We find that hair DNA extracted with an established single-stranded library protocol is unusually enriched in ultra-short DNA molecules and exhibits substantial interior molecular damage. The aDNA was nonetheless amenable to genetic analyses, which revealed that the genome is genetically indistinguishable from that of early Neolithic eastern African pastoralists located 2500 kms away. Our findings are consistent with established models for the southward dispersal of Middle Nile Valley pastoral populations to the Rift Valley of eastern Africa, and provide a possible genetic source population for this dispersal. Our study highlights the value of mummified hair as an alternate source of aDNA from regions with poor bone preservation.
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Affiliation(s)
- Ke Wang
- grid.419518.00000 0001 2159 1813Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany ,grid.8547.e0000 0001 0125 2443School of Life Sciences, Fudan University, Shanghai, China
| | - Madeleine Bleasdale
- grid.5685.e0000 0004 1936 9668Department of Archaeology, University of York, York, UK ,grid.469873.70000 0004 4914 1197Max Planck Institute for the Science of Human History, Jena, Germany
| | - Charles Le Moyne
- grid.469873.70000 0004 4914 1197Max Planck Institute for the Science of Human History, Jena, Germany ,grid.1003.20000 0000 9320 7537School of Social Science, The University of Queensland, Brisbane, Australia
| | - Cacilia Freund
- grid.419518.00000 0001 2159 1813Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Johannes Krause
- grid.419518.00000 0001 2159 1813Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Nicole Boivin
- grid.469873.70000 0004 4914 1197Max Planck Institute for the Science of Human History, Jena, Germany ,grid.1003.20000 0000 9320 7537School of Social Science, The University of Queensland, Brisbane, Australia
| | - Stephan Schiffels
- grid.419518.00000 0001 2159 1813Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
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43
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Gaughran SJ, vonHoldt B. Pleistocene parades of carnivores into North America. Mol Ecol 2022; 31:6387-6389. [PMID: 36373266 DOI: 10.1111/mec.16783] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 11/08/2022] [Indexed: 11/16/2022]
Abstract
The distribution and movement of species, broadly known as biogeography, is one of the fundamental subfields of ecology and evolutionary biology. However, significant mysteries remain about the processes that gave rise to the modern distribution of biodiversity across the globe. Over the last several decades, the genetic study of ancient and subfossil specimens has started to shed light on past migrations of some species, with a particular focus on humans and megafauna. In this issue of Molecular Ecology, Salis et al. (2021) use ancient mitogenomes and a new phylogeographic method to add an important new piece of evidence to the mystery of megafaunal migrations into North America during the Pleistocene. They found a striking synchronicity of brown bear (Ursus arctos) and lion (Panthera spp.) migrations across the Bering Land Bridge at several time points during the late Pleistocene, which highlights the lasting impact of sea level change on the prehistoric and modern dispersal of terrestrial carnivores across continents.
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Affiliation(s)
- Stephen J Gaughran
- Department of Ecology & Evolutionary Biology, Princeton University, Princeton, New Jersey, USA
| | - Bridgett vonHoldt
- Department of Ecology & Evolutionary Biology, Princeton University, Princeton, New Jersey, USA
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44
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Hempel E, Bibi F, Faith JT, Koepfli KP, Klittich AM, Duchêne DA, Brink JS, Kalthoff DC, Dalén L, Hofreiter M, Westbury MV. Blue Turns to Gray: Paleogenomic Insights into the Evolutionary History and Extinction of the Blue Antelope (Hippotragus leucophaeus). Mol Biol Evol 2022; 39:6794086. [PMID: 36322483 PMCID: PMC9750129 DOI: 10.1093/molbev/msac241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 09/25/2022] [Accepted: 10/31/2022] [Indexed: 11/07/2022] Open
Abstract
The blue antelope (Hippotragus leucophaeus) is the only large African mammal species to have become extinct in historical times, yet no nuclear genomic information is available for this species. A recent study showed that many alleged blue antelope museum specimens are either roan (Hippotragus equinus) or sable (Hippotragus niger) antelopes, further reducing the possibilities for obtaining genomic information for this extinct species. While the blue antelope has a rich fossil record from South Africa, climatic conditions in the region are generally unfavorable to the preservation of ancient DNA. Nevertheless, we recovered two blue antelope draft genomes, one at 3.4× mean coverage from a historical specimen (∼200 years old) and one at 2.1× mean coverage from a fossil specimen dating to 9,800-9,300 cal years BP, making it currently the oldest paleogenome from Africa. Phylogenomic analyses show that blue and sable antelope are sister species, confirming previous mitogenomic results, and demonstrate ancient gene flow from roan into blue antelope. We show that blue antelope genomic diversity was much lower than in roan and sable antelope, indicative of a low population size since at least the early Holocene. This supports observations from the fossil record documenting major decreases in the abundance of blue antelope after the Pleistocene-Holocene transition. Finally, the persistence of this species throughout the Holocene despite low population size suggests that colonial-era human impact was likely the decisive factor in the blue antelope's extinction.
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Affiliation(s)
| | - Faysal Bibi
- Museum für Naturkunde, Leibniz Institute for Evolution and Biodiversity Science, Invalidenstraße 43, 10115 Berlin, Germany
| | - J Tyler Faith
- Natural History Museum of Utah, University of Utah, 301 Wakara Way, Salt Lake City, UT 84108,Department of Anthropology, University of Utah, 260 South Central Campus Drive, Salt Lake City, UT 84112,Origins Centre, University of the Witwatersrand, Johannesburg, Republic of South Africa
| | - Klaus-Peter Koepfli
- Smithsonian-Mason School of Conservation, George Mason University, Front Royal, VA 22630,Center for Species Survival, Smithsonian's National Zoo and Conservation Biology Institute, Washington, DC, 20008, USA
| | - Achim M Klittich
- Evolutionary Adaptive Genomics, Institute for Biochemistry and Biology, Department of Mathematics and Natural Sciences, University of Potsdam, Karl-Liebknecht-Str. 24-25, 14476 Potsdam, Germany
| | - David A Duchêne
- Globe Institute, University of Copenhagen, Øster Voldgade 5-7, Copenhagen, Denmark,Centre for Evolutionary Hologenomics, University of Copenhagen, Copenhagen 1352, Denmark
| | | | - Daniela C Kalthoff
- Swedish Museum of Natural History, Department of Zoology, Box 50007, 10405 Stockholm, Sweden
| | - Love Dalén
- Swedish Museum of Natural History, Department of Bioinformatics and Genetics, Box 50007, 10405 Stockholm, Sweden,Centre for Palaeogenetics, Svante Arrhenius väg 20c, 10691 Stockholm, Sweden,Department of Zoology, Stockholm University, 10691 Stockholm, Sweden
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45
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The petrous bone contains high concentrations of osteocytes: One possible reason why ancient DNA is better preserved in this bone. PLoS One 2022; 17:e0269348. [PMID: 36282813 PMCID: PMC9595551 DOI: 10.1371/journal.pone.0269348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 09/22/2022] [Indexed: 11/19/2022] Open
Abstract
The characterization of ancient DNA in fossil bones is providing invaluable information on the genetics of past human and other animal populations. These studies have been aided enormously by the discovery that ancient DNA is relatively well preserved in the petrous bone compared to most other bones. The reasons for this better preservation are however not well understood. Here we examine the hypothesis that one reason for better DNA preservation in the petrous bone is that fresh petrous bone contains more DNA than other bones. We therefore determined the concentrations of osteocyte cells occluded inside lacunae within the petrous bone and compared these concentrations to other bones from the domestic pig using high resolution microCT. We show that the concentrations of osteocyte lacunae in the inner layer of the pig petrous bone adjacent to the otic chamber are about three times higher (around 95,000 lacunae per mm3) than in the mastoid of the temporal bone (around 28,000 lacunae per mm3), as well as the cortical bone of the femur (around 27,000 lacunae per mm3). The sizes and shapes of the lacuna in the inner layer of the petrous bone are similar to those in the femur. We also show that the pig petrous bone lacunae do contain osteocytes using a histological stain for DNA. We therefore confirm and significantly expand upon previous observations of osteocytic lacuna concentrations in the petrous bone, supporting the notion that one possible reason for better preservation of ancient DNA in the petrous bone is that this bone initially contains at least three times more DNA than other bones. Thus during diagenesis more DNA is likely to be preserved in the petrous bone compared to other bones.
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46
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Phylogeography of Sub-Saharan Mitochondrial Lineages Outside Africa Highlights the Roles of the Holocene Climate Changes and the Atlantic Slave Trade. Int J Mol Sci 2022; 23:ijms23169219. [PMID: 36012483 PMCID: PMC9408831 DOI: 10.3390/ijms23169219] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 08/14/2022] [Accepted: 08/15/2022] [Indexed: 12/03/2022] Open
Abstract
Despite the importance of ancient DNA for understanding human prehistoric dispersals, poor survival means that data remain sparse for many areas in the tropics, including in Africa. In such instances, analysis of contemporary genomes remains invaluable. One promising approach is founder analysis, which identifies and dates migration events in non-recombining systems. However, it has yet to be fully exploited as its application remains controversial. Here, we test the approach by evaluating the age of sub-Saharan mitogenome lineages sampled outside Africa. The analysis confirms that such lineages in the Americas date to recent centuries—the time of the Atlantic slave trade—thereby validating the approach. By contrast, in North Africa, Southwestern Asia and Europe, roughly half of the dispersal signal dates to the early Holocene, during the “greening” of the Sahara. We elaborate these results by showing that the main source regions for the two main dispersal episodes are distinct. For the recent dispersal, the major source was West Africa, but with two exceptions: South America, where the fraction from Southern Africa was greater, and Southwest Asia, where Eastern Africa was the primary source. These observations show the potential of founder analysis as both a supplement and complement to ancient DNA studies.
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47
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Huang X, Xia ZY, Bin X, He G, Guo J, Adnan A, Yin L, Huang Y, Zhao J, Yang Y, Ma F, Li Y, Hu R, Yang T, Wei LH, Wang CC. Genomic Insights Into the Demographic History of the Southern Chinese. Front Ecol Evol 2022. [DOI: 10.3389/fevo.2022.853391] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Southern China is the birthplace of rice-cultivating agriculture and different language families and has also witnessed various human migrations that facilitated cultural diffusions. The fine-scale demographic history in situ that forms present-day local populations, however, remains unclear. To comprehensively cover the genetic diversity in East and Southeast Asia, we generated genome-wide SNP data from 211 present-day Southern Chinese and co-analyzed them with ∼1,200 ancient and modern genomes. In Southern China, language classification is significantly associated with genetic variation but with a different extent of predictability, and there is strong evidence for recent shared genetic history particularly in Hmong–Mien and Austronesian speakers. A geography-related genetic sub-structure that represents the major genetic variation in Southern East Asians is established pre-Holocene and its extremes are represented by Neolithic Fujianese and First Farmers in Mainland Southeast Asia. This sub-structure is largely reduced by admixture in ancient Southern Chinese since > ∼2,000 BP, which forms a “Southern Chinese Cluster” with a high level of genetic homogeneity. Further admixture characterizes the demographic history of the majority of Hmong–Mien speakers and some Kra-Dai speakers in Southwest China happened ∼1,500–1,000 BP, coeval to the reigns of local chiefdoms. In Yellow River Basin, we identify a connection of local populations to genetic sub-structure in Southern China with geographical correspondence appearing > ∼9,000 BP, while the gene flow likely closely related to “Southern Chinese Cluster” since the Longshan period (∼5,000–4,000 BP) forms ancestry profile of Han Chinese Cline.
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48
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Wonkam A, Adadey SM, Schrauwen I, Aboagye ET, Wonkam-Tingang E, Esoh K, Popel K, Manyisa N, Jonas M, deKock C, Nembaware V, Cornejo Sanchez DM, Bharadwaj T, Nasir A, Everard JL, Kadlubowska MK, Nouel-Saied LM, Acharya A, Quaye O, Amedofu GK, Awandare GA, Leal SM. Exome sequencing of families from Ghana reveals known and candidate hearing impairment genes. Commun Biol 2022; 5:369. [PMID: 35440622 PMCID: PMC9019055 DOI: 10.1038/s42003-022-03326-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Accepted: 03/25/2022] [Indexed: 12/15/2022] Open
Abstract
We investigated hearing impairment (HI) in 51 families from Ghana with at least two affected members that were negative for GJB2 pathogenic variants. DNA samples from 184 family members underwent whole-exome sequencing (WES). Variants were found in 14 known non-syndromic HI (NSHI) genes [26/51 (51.0%) families], five genes that can underlie either syndromic HI or NSHI [13/51 (25.5%)], and one syndromic HI gene [1/51 (2.0%)]. Variants in CDH23 and MYO15A contributed the most to HI [31.4% (16/51 families)]. For DSPP, an autosomal recessive mode of inheritance was detected. Post-lingual expression was observed for a family segregating a MARVELD2 variant. To our knowledge, seven novel candidate HI genes were identified (13.7%), with six associated with NSHI (INPP4B, CCDC141, MYO19, DNAH11, POTEI, and SOX9); and one (PAX8) with Waardenburg syndrome. MYO19 and DNAH11 were replicated in unrelated Ghanaian probands. Six of the novel genes were expressed in mouse inner ear. It is known that Pax8-/- mice do not respond to sound, and depletion of Sox9 resulted in defective vestibular structures and abnormal utricle development. Most variants (48/60; 80.0%) have not previously been associated with HI. Identifying seven candidate genes in this study emphasizes the potential of novel HI genes discovery in Africa.
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Affiliation(s)
- Ambroise Wonkam
- Division of Human Genetics, Faculty of Health Sciences, University of Cape Town, Cape Town, 7925, South Africa.
- McKusick-Nathans Institute and Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
| | - Samuel Mawuli Adadey
- Division of Human Genetics, Faculty of Health Sciences, University of Cape Town, Cape Town, 7925, South Africa
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), University of Ghana, Accra, LG 54, Ghana
| | - Isabelle Schrauwen
- Center for Statistical Genetics, Gertrude H. Sergievsky Center, and the Department of Neurology, Columbia University Medical Centre, New York, NY, 10032, USA
| | - Elvis Twumasi Aboagye
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), University of Ghana, Accra, LG 54, Ghana
| | - Edmond Wonkam-Tingang
- Division of Human Genetics, Faculty of Health Sciences, University of Cape Town, Cape Town, 7925, South Africa
| | - Kevin Esoh
- Division of Human Genetics, Faculty of Health Sciences, University of Cape Town, Cape Town, 7925, South Africa
| | - Kalinka Popel
- Division of Human Genetics, Faculty of Health Sciences, University of Cape Town, Cape Town, 7925, South Africa
| | - Noluthando Manyisa
- Division of Human Genetics, Faculty of Health Sciences, University of Cape Town, Cape Town, 7925, South Africa
| | - Mario Jonas
- Division of Human Genetics, Faculty of Health Sciences, University of Cape Town, Cape Town, 7925, South Africa
| | - Carmen deKock
- Division of Human Genetics, Faculty of Health Sciences, University of Cape Town, Cape Town, 7925, South Africa
| | - Victoria Nembaware
- Division of Human Genetics, Faculty of Health Sciences, University of Cape Town, Cape Town, 7925, South Africa
| | - Diana M Cornejo Sanchez
- Center for Statistical Genetics, Gertrude H. Sergievsky Center, and the Department of Neurology, Columbia University Medical Centre, New York, NY, 10032, USA
| | - Thashi Bharadwaj
- Center for Statistical Genetics, Gertrude H. Sergievsky Center, and the Department of Neurology, Columbia University Medical Centre, New York, NY, 10032, USA
| | - Abdul Nasir
- Department of Molecular Science and Technology, Ajou University, Suwon-si, Republic of Korea
| | - Jenna L Everard
- Center for Statistical Genetics, Gertrude H. Sergievsky Center, and the Department of Neurology, Columbia University Medical Centre, New York, NY, 10032, USA
| | - Magda K Kadlubowska
- Center for Statistical Genetics, Gertrude H. Sergievsky Center, and the Department of Neurology, Columbia University Medical Centre, New York, NY, 10032, USA
| | - Liz M Nouel-Saied
- Center for Statistical Genetics, Gertrude H. Sergievsky Center, and the Department of Neurology, Columbia University Medical Centre, New York, NY, 10032, USA
| | - Anushree Acharya
- Center for Statistical Genetics, Gertrude H. Sergievsky Center, and the Department of Neurology, Columbia University Medical Centre, New York, NY, 10032, USA
| | - Osbourne Quaye
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), University of Ghana, Accra, LG 54, Ghana
| | - Geoffrey K Amedofu
- Department of Eye, Ear, Nose, and Throat, School of Medical Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Gordon A Awandare
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), University of Ghana, Accra, LG 54, Ghana
| | - Suzanne M Leal
- Center for Statistical Genetics, Gertrude H. Sergievsky Center, and the Department of Neurology, Columbia University Medical Centre, New York, NY, 10032, USA.
- Taub Institute for Alzheimer's Disease and the Aging Brain, Columbia University Medical Centre, New York, NY, 10032, USA.
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49
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Witt KE, Villanea F, Loughran E, Zhang X, Huerta-Sanchez E. Apportioning archaic variants among modern populations. Philos Trans R Soc Lond B Biol Sci 2022; 377:20200411. [PMID: 35430882 PMCID: PMC9014186 DOI: 10.1098/rstb.2020.0411] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023] Open
Abstract
The apportionment of human genetic diversity within and between populations has been measured to understand human relatedness and demographic history. Likewise, the distribution of archaic ancestry in modern populations can be leveraged to better understand the interaction between our species and its archaic relatives. Resolving the interactions between modern and archaic human populations can be difficult, as archaic variants in modern populations have been shaped by genetic drift, bottlenecks and gene flow. Here, we investigate the distribution of archaic variation in Eurasian populations. We find that archaic ancestry coverage at the individual- and population-level present distinct patterns in modern human populations: South Asians have nearly twice the number of population-unique archaic alleles compared with Europeans or East Asians, indicating that these populations experienced differing demographic and archaic admixture events. We confirm previous observations that East Asian individuals have more Neanderthal ancestry than European individuals, but surprisingly, when we compare the number of single nucleotide polymorphisms with archaic alleles found across a population, Europeans have more Neanderthal ancestry than East Asians. We compare these results to simulated models and conclude that these patterns are consistent with multiple admixture events between modern humans and Neanderthals. This article is part of the theme issue ‘Celebrating 50 years since Lewontin's apportionment of human diversity’.
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Affiliation(s)
- Kelsey E. Witt
- Ecology, Evolution, and Organismal Biology, Brown University, Providence, RI 02912, USA
- Center for Computational Molecular Biology, Brown University, Providence, RI 02912, USA
| | - Fernando Villanea
- Department of Anthropology, University of Colorado Boulder, Boulder, CO, USA
| | - Elle Loughran
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Republic of Ireland
| | - Xinjun Zhang
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, CA, USA
| | - Emilia Huerta-Sanchez
- Ecology, Evolution, and Organismal Biology, Brown University, Providence, RI 02912, USA
- Center for Computational Molecular Biology, Brown University, Providence, RI 02912, USA
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Republic of Ireland
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50
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Human evolution: The unsealed fates of foragers and farmers. Curr Biol 2022; 32:R362-R365. [DOI: 10.1016/j.cub.2022.03.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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