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Beneker O, Molinaro L, Guellil M, Sasso S, Kabral H, Bonucci B, Gaens N, D'Atanasio E, Mezzavilla M, Delbrassine H, Braet L, Lambert B, Deckers P, Biagini SA, Hui R, Becelaere S, Geypen J, Hoebreckx M, Berk B, Driesen P, Pijpelink A, van Damme P, Vanhoutte S, De Winter N, Saag L, Pagani L, Tambets K, Scheib CL, Larmuseau MHD, Kivisild T. Urbanization and genetic homogenization in the medieval Low Countries revealed through a ten-century paleogenomic study of the city of Sint-Truiden. Genome Biol 2025; 26:127. [PMID: 40390081 PMCID: PMC12090598 DOI: 10.1186/s13059-025-03580-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2024] [Accepted: 04/16/2025] [Indexed: 05/21/2025] Open
Abstract
BACKGROUND Processes shaping the formation of the present-day population structure in highly urbanized Northern Europe are still poorly understood. Gaps remain in our understanding of when and how currently observable regional differences emerged and what impact city growth, migration, and disease pandemics during and after the Middle Ages had on these processes. RESULTS We perform low-coverage sequencing of the genomes of 338 individuals spanning the eighth to the eighteenth centuries in the city of Sint-Truiden in Flanders, in the northern part of Belgium. The early/high medieval Sint-Truiden population was more heterogeneous, having received migrants from Scotland or Ireland, and displayed less genetic relatedness than observed today between individuals in present-day Flanders. We find differences in gene variants associated with high vitamin D blood levels between individuals with Gaulish or Germanic ancestry. Although we find evidence of a Yersinia pestis infection in 5 of the 58 late medieval burials, we were unable to detect a major population-scale impact of the second plague pandemic on genetic diversity or on the elevated differentiation of immunity genes. CONCLUSIONS This study reveals that the genetic homogenization process in a medieval city population in the Low Countries was protracted for centuries. Over time, the Sint-Truiden population became more similar to the current population of the surrounding Limburg province, likely as a result of reduced long-distance migration after the high medieval period, and the continuous process of local admixture of Germanic and Gaulish ancestries which formed the genetic cline observable today in the Low Countries.
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Affiliation(s)
- Owyn Beneker
- Department of Human Genetics, KU Leuven, Leuven, Belgium.
| | | | - Meriam Guellil
- Department for Evolutionary Anthropology, University of Vienna, Vienna, Austria
- Human Evolution and Archaeological Sciences (HEAS), University of Vienna, Vienna, Austria
| | - Stefania Sasso
- Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Helja Kabral
- Institute of Genomics, University of Tartu, Tartu, Estonia
| | | | - Noah Gaens
- Department of Human Genetics, KU Leuven, Leuven, Belgium
| | | | | | | | - Linde Braet
- Department of Human Genetics, KU Leuven, Leuven, Belgium
| | - Bart Lambert
- SHOC Research Group, Vrije Universiteit Brussel, Brussels, Belgium
| | | | - Simone Andrea Biagini
- Department of Archaeology and Museology, Masaryk University, Brno, Czech Republic
- Center of Molecular Medicine, Central European Institute of Technology, Masaryk University, Brno, Czech Republic
| | | | - Sara Becelaere
- Department of Human Genetics, KU Leuven, Leuven, Belgium
| | | | | | - Birgit Berk
- Birgit Berk Fysische Anthropologie, Meerssen, Netherlands
| | | | - April Pijpelink
- Crematie en Inhumatie Analyse (CRINA) Fysische Antropologie, 's-Hertogenbosch, Netherlands
| | - Philip van Damme
- Department of Neurology, University Hospitals Leuven and Department of Neuroscience, KU Leuven, Leuven, Belgium
| | | | | | - Lehti Saag
- Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Luca Pagani
- Institute of Genomics, University of Tartu, Tartu, Estonia
- Department of Biology, University of Padova, Padova, Italy
| | | | | | | | - Toomas Kivisild
- Department of Human Genetics, KU Leuven, Leuven, Belgium.
- Institute of Genomics, University of Tartu, Tartu, Estonia.
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2
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Flegontova O, Işıldak U, Yüncü E, Williams MP, Huber CD, Kočí J, Vyazov LA, Changmai P, Flegontov P. Performance of qpAdm-based screens for genetic admixture on graph-shaped histories and stepping stone landscapes. Genetics 2025; 230:iyaf047. [PMID: 40169722 PMCID: PMC12118350 DOI: 10.1093/genetics/iyaf047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2025] [Revised: 03/08/2025] [Accepted: 03/11/2025] [Indexed: 04/03/2025] Open
Abstract
qpAdm is a statistical tool that is often used for testing large sets of alternative admixture models for a target population. Despite its popularity, qpAdm remains untested on 2D stepping stone landscapes and in situations with low prestudy odds (low ratio of true to false models). We tested high-throughput qpAdm protocols with typical properties such as number of source combinations per target, model complexity, model feasibility criteria, etc. Those protocols were applied to admixture graph-shaped and stepping stone simulated histories sampled randomly or systematically. We demonstrate that false discovery rates of high-throughput qpAdm protocols exceed 50% for many parameter combinations since: (1) prestudy odds are low and fall rapidly with increasing model complexity; (2) complex migration networks violate the assumptions of the method; hence, there is poor correlation between qpAdm P-values and model optimality, contributing to low but nonzero false-positive rate and low power; and (3) although admixture fraction estimates between 0 and 1 are largely restricted to symmetric configurations of sources around a target, a small fraction of asymmetric highly nonoptimal models have estimates in the same interval, contributing to the false-positive rate. We also reinterpret large sets of qpAdm models from 2 studies in terms of source-target distance and symmetry and suggest improvements to qpAdm protocols: (1) temporal stratification of targets and proxy sources in the case of admixture graph-shaped histories, (2) focused exploration of few models for increasing prestudy odds; and (3) dense landscape sampling for increasing power and stringent conditions on estimated admixture fractions for decreasing the false-positive rate.
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Affiliation(s)
- Olga Flegontova
- Department of Biology and Ecology, Faculty of Science, University of Ostrava, Ostrava 710 00, Czechia
- Institute of Parasitology, Biology Centre of the Czech Academy of Sciences, České Budějovice 370 05, Czechia
| | - Ulaş Işıldak
- Department of Biology and Ecology, Faculty of Science, University of Ostrava, Ostrava 710 00, Czechia
- Leibniz Institute on Aging, Fritz Lipmann Institute, Jena 07745, Germany
| | - Eren Yüncü
- Department of Biology and Ecology, Faculty of Science, University of Ostrava, Ostrava 710 00, Czechia
- Department of Biological Sciences, Middle East Technical University, Üniversiteler Mahallesi, Ankara 06800, Türkiye
| | - Matthew P Williams
- Department of Biology, Eberly College of Science, The Pennsylvania State University, University Park, PA 16802, USA
| | - Christian D Huber
- Department of Biology, Eberly College of Science, The Pennsylvania State University, University Park, PA 16802, USA
| | - Jan Kočí
- Department of Biology and Ecology, Faculty of Science, University of Ostrava, Ostrava 710 00, Czechia
| | - Leonid A Vyazov
- Department of Biology and Ecology, Faculty of Science, University of Ostrava, Ostrava 710 00, Czechia
| | - Piya Changmai
- Department of Biology and Ecology, Faculty of Science, University of Ostrava, Ostrava 710 00, Czechia
| | - Pavel Flegontov
- Department of Biology and Ecology, Faculty of Science, University of Ostrava, Ostrava 710 00, Czechia
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA
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3
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Flegontova O, Işıldak U, Yüncü E, Williams MP, Huber CD, Kočí J, Vyazov LA, Changmai P, Flegontov P. Performance of qpAdm-based screens for genetic admixture on admixture-graph-shaped histories and stepping-stone landscapes. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2025:2023.04.25.538339. [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] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/02/2023]
Abstract
qpAdm is a statistical tool that is often used for testing large sets of alternative admixture models for a target population. Despite its popularity, qpAdm remains untested on two-dimensional stepping-stone landscapes and in situations with low pre-study odds (low ratio of true to false models). We tested high-throughput qpAdm protocols with typical properties such as number of source combinations per target, model complexity, model feasibility criteria, etc. Those protocols were applied to admixture-graph-shaped and stepping-stone simulated histories sampled randomly or systematically. We demonstrate that false discovery rates of high-throughput qpAdm protocols exceed 50% for many parameter combinations since: 1) pre-study odds are low and fall rapidly with increasing model complexity; 2) complex migration networks violate the assumptions of the method, hence there is poor correlation between qpAdm p-values and model optimality, contributing to low but non-zero false positive rate and low power; 3) although admixture fraction estimates between 0 and 1 are largely restricted to symmetric configurations of sources around a target, a small fraction of asymmetric highly non-optimal models have estimates in the same interval, contributing to the false positive rate. We also re-interpret large sets of qpAdm models from two studies in terms of source-target distance and symmetry and suggest improvements to qpAdm protocols: 1) temporal stratification of targets and proxy sources in the case of admixture-graph-shaped histories; 2) focused exploration of few models for increasing pre-study odds; 3) dense landscape sampling for increasing power and stringent conditions on estimated admixture fractions for decreasing the false positive rate.
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Affiliation(s)
- Olga Flegontova
- Department of Biology and Ecology, Faculty of Science, University of Ostrava, Chittussiho 1077/10, 710 00, Ostrava, Czechia
- Institute of Parasitology, Biology Centre of the Czech Academy of Sciences, Branišovská 1160/31, 370 05, České Budějovice, Czechia
| | - Ulaş Işıldak
- Department of Biology and Ecology, Faculty of Science, University of Ostrava, Chittussiho 1077/10, 710 00, Ostrava, Czechia
- Leibniz Institute on Aging - Fritz Lipmann Institute (FLI), Beutenbergstraße 11, 07745, Jena, Germany
| | - Eren Yüncü
- Department of Biology and Ecology, Faculty of Science, University of Ostrava, Chittussiho 1077/10, 710 00, Ostrava, Czechia
- Department of Biological Sciences, Middle East Technical University, Üniversiteler Mahallesi, Dumlupınar Bulvarı No: 1, 06800, Çankaya/Ankara, Türkiye
| | - Matthew P. Williams
- Department of Biology, Eberly College of Science, Pennsylvania State University, 168 Curtin Road, University Park, PA 16802, USA
| | - Christian D. Huber
- Department of Biology, Eberly College of Science, Pennsylvania State University, 168 Curtin Road, University Park, PA 16802, USA
| | - Jan Kočí
- Department of Biology and Ecology, Faculty of Science, University of Ostrava, Chittussiho 1077/10, 710 00, Ostrava, Czechia
| | - Leonid A. Vyazov
- Department of Biology and Ecology, Faculty of Science, University of Ostrava, Chittussiho 1077/10, 710 00, Ostrava, Czechia
| | - Piya Changmai
- Department of Biology and Ecology, Faculty of Science, University of Ostrava, Chittussiho 1077/10, 710 00, Ostrava, Czechia
| | - Pavel Flegontov
- Department of Biology and Ecology, Faculty of Science, University of Ostrava, Chittussiho 1077/10, 710 00, Ostrava, Czechia
- Department of Human Evolutionary Biology, Harvard University, 11 Divinity Avenue, Cambridge, MA 02138, USA
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4
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Martinón-Torres M, Lalueza-Fox C. Ancient human genomes offer clues about the earliest migrations out of Africa. Nature 2025; 638:620-621. [PMID: 39881504 DOI: 10.1038/d41586-025-00182-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2025]
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5
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Purnomo GA, Kealy S, O'Connor S, Schapper A, Shaw B, Llamas B, Teixeira JC, Sudoyo H, Tobler R. The genetic origins and impacts of historical Papuan migrations into Wallacea. Proc Natl Acad Sci U S A 2024; 121:e2412355121. [PMID: 39689173 DOI: 10.1073/pnas.2412355121] [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: 07/21/2024] [Accepted: 10/30/2024] [Indexed: 12/19/2024] Open
Abstract
The tropical archipelago of Wallacea was first settled by anatomically modern humans (AMH) by 50 thousand years ago (kya), with descendent populations thought to have remained genetically isolated prior to the arrival of Austronesian seafarers around 3.5 kya. Modern Wallaceans exhibit a longitudinal countergradient of Papuan- and Asian-related ancestries widely considered as evidence for mixing between local populations and Austronesian seafarers, though converging multidisciplinary evidence suggests that the Papuan-related component instead comes primarily from back-migrations from New Guinea. Here, we reconstruct Wallacean population genetic history using more than 250 newly reported genomes from 12 Wallacean and three West Papuan populations and confirm that the vast majority of Papuan-related ancestry in Wallacea (~75 to 100%) comes from prehistoric migrations originating in New Guinea and only a minor fraction is attributable to the founding AMH settlers. Mixing between Papuan and local Wallacean lineages appears to have been confined to the western and central parts of the archipelago and likely occurred contemporaneously with the widespread introduction of genes from Austronesian seafarers-which now comprise between ~40 and 85% of modern Wallacean ancestry-though dating historical admixture events remains challenging due to mixing continuing into the Historical Period. In conjunction with archaeological and linguistic records, our findings point to a dynamic Wallacean population history that was profoundly reshaped by the spread of Papuan genes, languages, and culture in the past 3,500 y.
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Affiliation(s)
- Gludhug A Purnomo
- Australian Centre for Ancient DNA, The Environment Institute, School of Biological Sciences, The University of Adelaide, Adelaide, SA 5005, Australia
- Australian Research Council Centre of Excellence for Australian Biodiversity and Heritage, School of Biological Sciences, University of Adelaide, SA 5005, Australia
- Genome Diversity and Disease Laboratory, Mochtar Riady Institute for Nanotechnology, Tangerang, Banten 15811, Indonesia
| | - Shimona Kealy
- Australian Research Council Centre of Excellence for Australian Biodiversity and Heritage, School of Culture, History and Language, College of Asia and the Pacific, Australian National University, Canberra, ACT 2601, Australia
- Archaeology and Natural History, School of Culture, History and Language, College of Asia and the Pacific, Australian National University, Canberra, ACT 2601, Australia
| | - Sue O'Connor
- Australian Research Council Centre of Excellence for Australian Biodiversity and Heritage, School of Culture, History and Language, College of Asia and the Pacific, Australian National University, Canberra, ACT 2601, Australia
- Archaeology and Natural History, School of Culture, History and Language, College of Asia and the Pacific, Australian National University, Canberra, ACT 2601, Australia
| | - Antoinette Schapper
- Vrije Universiteit, Amsterdam 1081, The Netherlands
- Lacito-CNRS, Villejuif 94800, France
| | - Ben Shaw
- Australian Research Council Centre of Excellence for Australian Biodiversity and Heritage, School of Culture, History and Language, College of Asia and the Pacific, Australian National University, Canberra, ACT 2601, Australia
- Evolution of Cultural Diversity Initiative, School of Culture, History and Language, College of Asia and the Pacific, Australian National University, Canberra, ACT 2601, Australia
| | - Bastien Llamas
- Australian Centre for Ancient DNA, The Environment Institute, School of Biological Sciences, The University of Adelaide, Adelaide, SA 5005, Australia
- Australian Research Council Centre of Excellence for Australian Biodiversity and Heritage, School of Biological Sciences, University of Adelaide, SA 5005, Australia
- National Centre for Indigenous Genomics, John Curtin School of Medical Research, Australian National University, Canberra, ACT 2601, Australia
- Indigenous Genomics, The Kids Research Institute Australia, Adelaide, SA 5000, Australia
| | - Joao C Teixeira
- Australian Centre for Ancient DNA, The Environment Institute, School of Biological Sciences, The University of Adelaide, Adelaide, SA 5005, Australia
- Australian Research Council Centre of Excellence for Australian Biodiversity and Heritage, School of Biological Sciences, University of Adelaide, SA 5005, Australia
- Evolution of Cultural Diversity Initiative, School of Culture, History and Language, College of Asia and the Pacific, Australian National University, Canberra, ACT 2601, Australia
- Centre for Interdisciplinary Studies, University of Coimbra, Coimbra 3000-186, Portugal
| | - Herawati Sudoyo
- Genome Diversity and Disease Laboratory, Mochtar Riady Institute for Nanotechnology, Tangerang, Banten 15811, Indonesia
| | - Raymond Tobler
- Australian Centre for Ancient DNA, The Environment Institute, School of Biological Sciences, The University of Adelaide, Adelaide, SA 5005, Australia
- Australian Research Council Centre of Excellence for Australian Biodiversity and Heritage, School of Culture, History and Language, College of Asia and the Pacific, Australian National University, Canberra, ACT 2601, Australia
- Evolution of Cultural Diversity Initiative, School of Culture, History and Language, College of Asia and the Pacific, Australian National University, Canberra, ACT 2601, Australia
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6
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Iasi LNM, Chintalapati M, Skov L, Mesa AB, Hajdinjak M, Peter BM, Moorjani P. Neanderthal ancestry through time: Insights from genomes of ancient and present-day humans. Science 2024; 386:eadq3010. [PMID: 39666853 DOI: 10.1126/science.adq3010] [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: 05/08/2024] [Accepted: 10/22/2024] [Indexed: 12/14/2024]
Abstract
Gene flow from Neanderthals has shaped genetic and phenotypic variation in modern humans. We generated a catalog of Neanderthal ancestry segments in more than 300 genomes spanning the past 50,000 years. We examined how Neanderthal ancestry is shared among individuals over time. Our analysis revealed that the vast majority of Neanderthal gene flow is attributable to a single, shared extended period of gene flow that occurred between 50,500 to 43,500 years ago, as evidenced by ancestry correlation, colocalization of Neanderthal segments across individuals, and divergence from the sequenced Neanderthals. Most natural selection-positive and negative-on Neanderthal variants occurred rapidly after the gene flow. Our findings provide new insights into how contact with Neanderthals shaped modern human origins and adaptation.
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Affiliation(s)
- Leonardo N M Iasi
- Department of Evolutionary Genetics, Max-Planck-Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Manjusha Chintalapati
- Department of Molecular and Cell Biology, University of California Berkeley, Berkeley, CA, USA
| | - Laurits Skov
- Department of Molecular and Cell Biology, University of California Berkeley, Berkeley, CA, USA
| | - Alba Bossoms Mesa
- Department of Evolutionary Genetics, Max-Planck-Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Mateja Hajdinjak
- Department of Evolutionary Genetics, Max-Planck-Institute for Evolutionary Anthropology, Leipzig, Germany
- The Francis Crick Institute, London, UK
| | - Benjamin M Peter
- Department of Evolutionary Genetics, Max-Planck-Institute for Evolutionary Anthropology, Leipzig, Germany
- Department of Biology, University of Rochester, Rochester NY, USA
| | - Priya Moorjani
- Department of Molecular and Cell Biology, University of California Berkeley, Berkeley, CA, USA
- Center for Computational Biology, University of California Berkeley, Berkeley, CA, USA
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7
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Gretzinger J, Gibbon VE, Penske SE, Sealy JC, Rohrlach AB, Salazar-García DC, Krause J, Schiffels S. 9,000 years of genetic continuity in southernmost Africa demonstrated at Oakhurst rockshelter. Nat Ecol Evol 2024; 8:2121-2134. [PMID: 39300260 PMCID: PMC11541196 DOI: 10.1038/s41559-024-02532-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Accepted: 08/02/2024] [Indexed: 09/22/2024]
Abstract
Southern Africa has one of the longest records of fossil hominins and harbours the largest human genetic diversity in the world. Yet, despite its relevance for human origins and spread around the globe, the formation and processes of its gene pool in the past are still largely unknown. Here, we present a time transect of genome-wide sequences from nine individuals recovered from a single site in South Africa, Oakhurst Rockshelter. Spanning the whole Holocene, the ancient DNA of these individuals allows us to reconstruct the demographic trajectories of the indigenous San population and their ancestors during the last 10,000 years. We show that, in contrast to most regions around the world, the population history of southernmost Africa was not characterized by several waves of migration, replacement and admixture but by long-lasting genetic continuity from the early Holocene to the end of the Later Stone Age. Although the advent of pastoralism and farming substantially transformed the gene pool in most parts of southern Africa after 1,300 BP, we demonstrate using allele-frequency and identity-by-descent segment-based methods that the ‡Khomani San and Karretjiemense from South Africa still show direct signs of relatedness to the Oakhurst hunter-gatherers, a pattern obscured by recent, extensive non-Southern African admixture. Yet, some southern San in South Africa still preserve this ancient, Pleistocene-derived genetic signature, extending the period of genetic continuity until today.
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Affiliation(s)
- Joscha Gretzinger
- Max Planck Institute for Evolutionary Anthropology, Department of Archaeogenetics, Leipzig, Germany
| | - Victoria E Gibbon
- Division of Clinical Anatomy and Biological Anthropology, Department of Human Biology, University of Cape Town, Cape Town, South Africa.
| | - Sandra E Penske
- Max Planck Institute for Evolutionary Anthropology, Department of Archaeogenetics, Leipzig, Germany
| | - Judith C Sealy
- Department of Archaeology, University of Cape Town, Cape Town, South Africa
| | - Adam B Rohrlach
- Max Planck Institute for Evolutionary Anthropology, Department of Archaeogenetics, Leipzig, Germany
- School of Computer and Mathematical Sciences, University of Adelaide, Adelaide, South Australia, Australia
| | - Domingo C Salazar-García
- Department of Geological Sciences, University of Cape Town, Cape Town, South Africa
- Departament de Prehistòria, Arqueologia i Història Antiga, Universitat de València, València, Spain
| | - Johannes Krause
- Max Planck Institute for Evolutionary Anthropology, Department of Archaeogenetics, Leipzig, Germany
| | - Stephan Schiffels
- Max Planck Institute for Evolutionary Anthropology, Department of Archaeogenetics, Leipzig, Germany.
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8
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Williams MP, Flegontov P, Maier R, Huber CD. Testing times: disentangling admixture histories in recent and complex demographies using ancient DNA. Genetics 2024; 228:iyae110. [PMID: 39013011 PMCID: PMC11373510 DOI: 10.1093/genetics/iyae110] [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: 04/08/2024] [Revised: 04/08/2024] [Accepted: 06/11/2024] [Indexed: 07/18/2024] Open
Abstract
Our knowledge of human evolutionary history has been greatly advanced by paleogenomics. Since the 2020s, the study of ancient DNA has increasingly focused on reconstructing the recent past. However, the accuracy of paleogenomic methods in resolving questions of historical and archaeological importance amidst the increased demographic complexity and decreased genetic differentiation remains an open question. We evaluated the performance and behavior of two commonly used methods, qpAdm and the f3-statistic, on admixture inference under a diversity of demographic models and data conditions. We performed two complementary simulation approaches-firstly exploring a wide demographic parameter space under four simple demographic models of varying complexities and configurations using branch-length data from two chromosomes-and secondly, we analyzed a model of Eurasian history composed of 59 populations using whole-genome data modified with ancient DNA conditions such as SNP ascertainment, data missingness, and pseudohaploidization. We observe that population differentiation is the primary factor driving qpAdm performance. Notably, while complex gene flow histories influence which models are classified as plausible, they do not reduce overall performance. Under conditions reflective of the historical period, qpAdm most frequently identifies the true model as plausible among a small candidate set of closely related populations. To increase the utility for resolving fine-scaled hypotheses, we provide a heuristic for further distinguishing between candidate models that incorporates qpAdm model P-values and f3-statistics. Finally, we demonstrate a significant performance increase for qpAdm using whole-genome branch-length f2-statistics, highlighting the potential for improved demographic inference that could be achieved with future advancements in f-statistic estimations.
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Affiliation(s)
- Matthew P Williams
- Department of Biology, Pennsylvania State University, University Park, PA 16802, USA
| | - Pavel Flegontov
- Department of Biology and Ecology, University of Ostrava, Ostrava 701 03, Czechia
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA
| | - Robert Maier
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA
| | - Christian D Huber
- Department of Biology, Pennsylvania State University, University Park, PA 16802, USA
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9
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Souilmi Y, Wasef S, Williams MP, Conroy G, Bar I, Bover P, Dann J, Heiniger H, Llamas B, Ogbourne S, Archer M, Ballard JWO, Reed E, Tobler R, Koungoulos L, Walshe K, Wright JL, Balme J, O’Connor S, Cooper A, Mitchell KJ. Ancient genomes reveal over two thousand years of dingo population structure. Proc Natl Acad Sci U S A 2024; 121:e2407584121. [PMID: 38976766 PMCID: PMC11287250 DOI: 10.1073/pnas.2407584121] [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: 04/17/2024] [Accepted: 06/04/2024] [Indexed: 07/10/2024] Open
Abstract
Dingoes are culturally and ecologically important free-living canids whose ancestors arrived in Australia over 3,000 B.P., likely transported by seafaring people. However, the early history of dingoes in Australia-including the number of founding populations and their routes of introduction-remains uncertain. This uncertainty arises partly from the complex and poorly understood relationship between modern dingoes and New Guinea singing dogs, and suspicions that post-Colonial hybridization has introduced recent domestic dog ancestry into the genomes of many wild dingo populations. In this study, we analyzed genome-wide data from nine ancient dingo specimens ranging in age from 400 to 2,746 y old, predating the introduction of domestic dogs to Australia by European colonists. We uncovered evidence that the continent-wide population structure observed in modern dingo populations had already emerged several thousand years ago. We also detected excess allele sharing between New Guinea singing dogs and ancient dingoes from coastal New South Wales (NSW) compared to ancient dingoes from southern Australia, irrespective of any post-Colonial hybrid ancestry in the genomes of modern individuals. Our results are consistent with several demographic scenarios, including a scenario where the ancestry of dingoes from the east coast of Australia results from at least two waves of migration from source populations with varying affinities to New Guinea singing dogs. We also contribute to the growing body of evidence that modern dingoes derive little genomic ancestry from post-Colonial hybridization with other domestic dog lineages, instead descending primarily from ancient canids introduced to Sahul thousands of years ago.
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Affiliation(s)
- Yassine Souilmi
- Australian Centre for Ancient DNA, School of Biological Sciences, The University of Adelaide, Adelaide, SA5005, Australia
- The Environment Institute, School of Biological Sciences, The University of Adelaide, Adelaide, SA5005, Australia
| | - Sally Wasef
- Ancient DNA Facility, Defence Genomics, Genomics Research Centre, Queensland University of Technology, Kelvin Grove, QLD4059, Australia
- Innovation Division, Forensic Science Queensland, Queensland Health, Coopers Plains, QLD4108, Australia
| | - Matthew P. Williams
- Australian Centre for Ancient DNA, School of Biological Sciences, The University of Adelaide, Adelaide, SA5005, Australia
- Department of Biology, The Pennsylvania State University, State College, PA16802
| | - Gabriel Conroy
- School of Science, Technology and Engineering, University of the Sunshine Coast, Maroochydore, QLD4556, Australia
- Centre for Bioinnovation, University of the Sunshine Coast, Maroochydore, QLD4556, Australia
| | - Ido Bar
- Centre for Planetary Health and Food Security, School of Environment and Science, Griffith University, Nathan, QLD4111, Australia
| | - Pere Bover
- Fundación Agencia Aragonesa para la Investigacióny el Desarrollo (ARAID), Zaragoza50018, Spain
- Instituto Universitario de Investigación en Ciencias Ambientales de Aragón (IUCA)-Grupo Aragosaurus, Universidad de Zaragoza, Zaragoza50009, Spain
| | - Jackson Dann
- Grützner Laboratory of Comparative Genomics, School of Biological Sciences, The University of Adelaide, Adelaide, SA5005, Australia
| | - Holly Heiniger
- Australian Research Council Centre of Excellence for Australian Biodiversity and Heritage (CABAH), AdelaideSA5005, Australia
| | - Bastien Llamas
- Australian Centre for Ancient DNA, School of Biological Sciences, The University of Adelaide, Adelaide, SA5005, Australia
- Australian Research Council Centre of Excellence for Australian Biodiversity and Heritage (CABAH), AdelaideSA5005, Australia
- National Centre for Indigenous Genomics, John Curtin School of Medical Research, Australian National University, ActonACT2601, Australia
- Indigenous Genomics, Telethon Kids Institute, Adelaide, SA5000, Australia
| | - Steven Ogbourne
- Centre for Bioinnovation, University of the Sunshine Coast, Maroochydore, QLD4556, Australia
| | - Michael Archer
- Earth and Sustainability Science Research Centre, School of Biological, Earth & Environmental Sciences, University of New South Wales Sydney, SydneyNSW2052, Australia
| | - J. William O. Ballard
- School of Biosciences, University of Melbourne, Royal Parade, Parkville, VIC3052, Australia
| | - Elizabeth Reed
- Ecology and Evolutionary Biology, School of Biological Sciences, The University of Adelaide, AdelaideSA5005, Australia
| | - Raymond Tobler
- Australian Centre for Ancient DNA, School of Biological Sciences, The University of Adelaide, Adelaide, SA5005, Australia
- Evolution of Cultural Diversity Initiative, School of Culture, History and Language, College of Asia and the Pacific, The Australian National University, Acton, ACT2601, Australia
| | - Loukas Koungoulos
- Archaeology and Natural History, School of Culture, History and Language, College of Asia and the Pacific, Australian National University, Acton, ACT2601, Australia
- Australian Museum Research Institute, Australian Museum, Sydney, NSW2010, Australia
- Australian Research Council Centre of Excellence for Australian Biodiversity and Heritage, The Australian National University, Acton, ACT2601, Australia
| | - Keryn Walshe
- School of Anthropology and Archaeology, University of Auckland, Auckland1010, New Zealand
| | - Joanne L. Wright
- Queensland Department of Education, Kelvin Grove State College, Kelvin Grove, QLD4059, Australia
| | - Jane Balme
- School of Social Sciences, University of Western Australia, Crawley, WA6009, Australia
| | - Sue O’Connor
- Archaeology and Natural History, School of Culture, History and Language, College of Asia and the Pacific, Australian National University, Acton, ACT2601, Australia
- Australian Research Council Centre of Excellence for Australian Biodiversity and Heritage, The Australian National University, Acton, ACT2601, Australia
| | - Alan Cooper
- Gulbali Institute, Charles Sturt University, Albury, NSW2640, Australia
| | - Kieren J. Mitchell
- Australian Centre for Ancient DNA, School of Biological Sciences, The University of Adelaide, Adelaide, SA5005, Australia
- Australian Research Council Centre of Excellence for Australian Biodiversity and Heritage (CABAH), AdelaideSA5005, Australia
- Manaaki Whenua—Landcare Research, Lincoln, Canterbury7608, New Zealand
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10
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Bergström A. Improving data archiving practices in ancient genomics. Sci Data 2024; 11:754. [PMID: 38987254 PMCID: PMC11236975 DOI: 10.1038/s41597-024-03563-y] [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: 02/19/2024] [Accepted: 06/21/2024] [Indexed: 07/12/2024] Open
Abstract
Ancient DNA is producing a rich record of past genetic diversity in humans and other species. However, unless the primary data is appropriately archived, its long-term value will not be fully realised. I surveyed publicly archived data from 42 recent ancient genomics studies. Half of the studies archived incomplete datasets, preventing accurate replication and representing a loss of data of potential future use. No studies met all criteria that could be considered best practice. Based on these results, I make six recommendations for data producers: (1) archive all sequencing reads, not just those that aligned to a reference genome, (2) archive read alignments too, but as secondary analysis files, (3) provide correct experiment metadata on samples, libraries and sequencing runs, (4) provide informative sample metadata, (5) archive data from low-coverage and negative experiments, and (6) document archiving choices in papers, and peer review these. Given the reliance on destructive sampling of finite material, ancient genomics studies have a particularly strong responsibility to ensure the longevity and reusability of generated data.
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Affiliation(s)
- Anders Bergström
- School of Biological Sciences, University of East Anglia, Norwich, UK.
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11
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Iasi LNM, Chintalapati M, Skov L, Mesa AB, Hajdinjak M, Peter BM, Moorjani P. Neandertal ancestry through time: Insights from genomes of ancient and present-day humans. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.13.593955. [PMID: 38798350 PMCID: PMC11118355 DOI: 10.1101/2024.05.13.593955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
Gene flow from Neandertals has shaped the landscape of genetic and phenotypic variation in modern humans. We identify the location and size of introgressed Neandertal ancestry segments in more than 300 genomes spanning the last 50,000 years. We study how Neandertal ancestry is shared among individuals to infer the time and duration of the Neandertal gene flow. We find the correlation of Neandertal segment locations across individuals and their divergence to sequenced Neandertals, both support a model of single major Neandertal gene flow. Our catalog of introgressed segments through time confirms that most natural selection-positive and negative-on Neandertal ancestry variants occurred immediately after the gene flow, and provides new insights into how the contact with Neandertals shaped human origins and adaptation.
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Affiliation(s)
- Leonardo N. M. Iasi
- Department for Evolutionary Genetics, Max-Planck-Institute for Evolutionary Anthropology; Leipzig, 04301, Germany
| | - Manjusha Chintalapati
- Department of Molecular and Cell Biology, University of California Berkeley; Berkeley, CA 94720, USA
| | - Laurits Skov
- Department of Molecular and Cell Biology, University of California Berkeley; Berkeley, CA 94720, USA
| | - Alba Bossoms Mesa
- Department for Evolutionary Genetics, Max-Planck-Institute for Evolutionary Anthropology; Leipzig, 04301, Germany
| | - Mateja Hajdinjak
- Department for Evolutionary Genetics, Max-Planck-Institute for Evolutionary Anthropology; Leipzig, 04301, Germany
- The Francis Crick Institute; London, NW1 1AT, UK
| | - Benjamin M. Peter
- Department for Evolutionary Genetics, Max-Planck-Institute for Evolutionary Anthropology; Leipzig, 04301, Germany
- Department of Biology, University of Rochester; Rochester NY, 14620,USA
| | - Priya Moorjani
- Department of Molecular and Cell Biology, University of California Berkeley; Berkeley, CA 94720, USA
- Center for Computational Biology, University of California Berkeley; Berkeley, CA 94720, USA
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12
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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: 74] [Impact Index Per Article: 74.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [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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13
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Peyrégne S, Slon V, Kelso J. More than a decade of genetic research on the Denisovans. Nat Rev Genet 2024; 25:83-103. [PMID: 37723347 DOI: 10.1038/s41576-023-00643-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/19/2023] [Indexed: 09/20/2023]
Abstract
Denisovans, a group of now extinct humans who lived in Eastern Eurasia in the Middle and Late Pleistocene, were first identified from DNA sequences just over a decade ago. Only ten fragmentary remains from two sites have been attributed to Denisovans based entirely on molecular information. Nevertheless, there has been great interest in using genetic data to understand Denisovans and their place in human history. From the reconstruction of a single high-quality genome, it has been possible to infer their population history, including events of admixture with other human groups. Additionally, the identification of Denisovan DNA in the genomes of present-day individuals has provided insights into the timing and routes of dispersal of ancient modern humans into Asia and Oceania, as well as the contributions of archaic DNA to the physiology of present-day people. In this Review, we synthesize more than a decade of research on Denisovans, reconcile controversies and summarize insights into their population history and phenotype. We also highlight how our growing knowledge about Denisovans has provided insights into our own evolutionary history.
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Affiliation(s)
- Stéphane Peyrégne
- Department of Evolutionary Genetics, Max-Planck-Institute for Evolutionary Anthropology, Leipzig, Germany.
| | - Viviane Slon
- Department of Evolutionary Genetics, Max-Planck-Institute for Evolutionary Anthropology, Leipzig, Germany
- Department of Anatomy and Anthropology, Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Department of Human Molecular Genetics and Biochemistry, Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- The Dan David Center for Human Evolution and Biohistory Research, Tel Aviv University, Tel Aviv, Israel
| | - Janet Kelso
- Department of Evolutionary Genetics, Max-Planck-Institute for Evolutionary Anthropology, Leipzig, Germany.
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14
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Kusuma P, Cox MP, Barker G, Sudoyo H, Lansing JS, Jacobs GS. Deep ancestry of Bornean hunter-gatherers supports long-term local ancestry dynamics. Cell Rep 2023; 42:113346. [PMID: 37917587 DOI: 10.1016/j.celrep.2023.113346] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 06/30/2023] [Accepted: 10/10/2023] [Indexed: 11/04/2023] Open
Abstract
Borneo was a crossroad of ancient dispersals, with some of the earliest Southeast Asian human remains and rock art. The island is home to traditionally hunter-gatherer Punan communities, whose origins, whether of subsistence reversion or long-term foraging, are unclear. The connection between its past and present-day agriculturalist inhabitants, who currently speak Austronesian languages and have composite and complex genetic ancestry, is equally opaque. Here, we analyze the genetic ancestry of the northeastern Bornean Punan Batu (who still practice some mobile hunting and gathering), Tubu, and Aput. We find deep ancestry connections, with a shared Asian signal outgrouping modern and ancient Austronesian-ancestry proxies, suggesting a time depth of more than 7,500 years. They also largely lack the mainland Southeast Asian signals of agricultural Borneans, who are themselves genetically heterogeneous. Our results support long-term inhabitation of Borneo by some Punan ancestors and reveal unexpected complexity in the origins and dispersal of Austronesian-expansion-related ancestry.
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Affiliation(s)
- Pradiptajati Kusuma
- Division of Genome Diversity and Diseases, Mochtar Riady Institute for Nanotechnology, Banten, Indonesia.
| | - Murray P Cox
- Department of Statistics, University of Auckland, Auckland, New Zealand; School of Natural Sciences, Massey University, Palmerston North, New Zealand
| | - Graeme Barker
- Department of Archaeology, University of Cambridge, Cambridge, UK
| | - Herawati Sudoyo
- Division of Genome Diversity and Diseases, Mochtar Riady Institute for Nanotechnology, Banten, Indonesia
| | - J Stephen Lansing
- Santa Fe Institute, Santa Fe, NM, USA; Complexity Science Hub Vienna, Vienna, Austria
| | - Guy S Jacobs
- Department of Archaeology, University of Cambridge, Cambridge, UK.
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15
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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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16
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Tran HL, Mai HP, Le Thi D, Thi ND, Le Tung L, Thanh TP, Manh HT, Mau HN, Chu HH, Hoang H. The first maternal genetic study of hunter-gatherers from Vietnam. Mol Genet Genomics 2023:10.1007/s00438-023-02050-0. [PMID: 37438447 DOI: 10.1007/s00438-023-02050-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Accepted: 06/22/2023] [Indexed: 07/14/2023]
Abstract
The current limitation of ancient DNA data from Vietnam led to the controversy surrounding the prehistory of people in this region. The combination of high heat and humidity damaged ancient bones that challenged the study of human evolution, especially when using DNA as study materials. So far, only 4 k years of history have been recorded despite the 65 k years of history of anatomically modern human occupations in Vietnam. Here we report, to our knowledge, the oldest mitogenomes of two hunter-gatherers from Vietnam. We extracted DNA from the femurs of two individuals aged 6.2 k cal BP from the Con Co Ngua (CCN) site in Thanh Hoa, Vietnam. This archeological site is the largest cemetery of the hunter-gatherer population in Southeast Asia (SEA) that was discovered, but their genetics have not been explored until the present. We indicated that the CCN haplotype belongs to a rare haplogroup that was not detected in any present-day Vietnamese individuals. Further matrilineal analysis on CCN mitogenomes showed a close relationship with ancient farmers and present-day populations in SEA. The mitogenomes of hunter-gatherers from Vietnam debate the "two layers" model of peopling history in SEA and provide an alternative solution for studying challenging ancient human samples from Vietnam.
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Affiliation(s)
- Huyen Linh Tran
- Institute of Biotechnology, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet, Cau Giay District, Hanoi, Vietnam
- University of Science and Technology of Hanoi, Vietnam Academy of Science and Technology, Hanoi, Vietnam
| | - Huong Pham Mai
- Institute of Biotechnology, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet, Cau Giay District, Hanoi, Vietnam
| | - Dung Le Thi
- Institute of Biotechnology, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet, Cau Giay District, Hanoi, Vietnam
- University of Science and Technology of Hanoi, Vietnam Academy of Science and Technology, Hanoi, Vietnam
| | - Nhung Doan Thi
- Institute of Biotechnology, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet, Cau Giay District, Hanoi, Vietnam
| | - Lam Le Tung
- Institute of Biotechnology, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet, Cau Giay District, Hanoi, Vietnam
| | - Tung Pham Thanh
- Institute of Biotechnology, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet, Cau Giay District, Hanoi, Vietnam
| | - Ha Tran Manh
- Institute of Biotechnology, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet, Cau Giay District, Hanoi, Vietnam
| | - Hung Nguyen Mau
- Institute of Biotechnology, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet, Cau Giay District, Hanoi, Vietnam
| | - Hoang Ha Chu
- Institute of Biotechnology, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet, Cau Giay District, Hanoi, Vietnam
- University of Science and Technology of Hanoi, Vietnam Academy of Science and Technology, Hanoi, Vietnam
- Graduate University of Science and Technology, Vietnam Academy of Science and Technology, Hanoi, Vietnam
| | - Ha Hoang
- Institute of Biotechnology, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet, Cau Giay District, Hanoi, Vietnam.
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17
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Taufik L, Teixeira JC, Llamas B, Sudoyo H, Tobler R, Purnomo GA. Human Genetic Research in Wallacea and Sahul: Recent Findings and Future Prospects. Genes (Basel) 2022; 13:genes13122373. [PMID: 36553640 PMCID: PMC9778601 DOI: 10.3390/genes13122373] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Revised: 12/08/2022] [Accepted: 12/13/2022] [Indexed: 12/23/2022] Open
Abstract
Genomic sequence data from worldwide human populations have provided a range of novel insights into our shared ancestry and the historical migrations that have shaped our global genetic diversity. However, a comprehensive understanding of these fundamental questions has been impeded by the lack of inclusion of many Indigenous populations in genomic surveys, including those from the Wallacean archipelago (which comprises islands of present-day Indonesia located east and west of Wallace's and Lydekker's Lines, respectively) and the former continent of Sahul (which once combined New Guinea and Australia during lower sea levels in the Pleistocene). Notably, these regions have been important areas of human evolution throughout the Late Pleistocene, as documented by diverse fossil and archaeological records which attest to the regional presence of multiple hominin species prior to the arrival of anatomically modern human (AMH) migrants. In this review, we collate and discuss key findings from the past decade of population genetic and phylogeographic literature focussed on the hominin history in Wallacea and Sahul. Specifically, we examine the evidence for the timing and direction of the ancient AMH migratory movements and subsequent hominin mixing events, emphasising several novel but consistent results that have important implications for addressing these questions. Finally, we suggest potentially lucrative directions for future genetic research in this key region of human evolution.
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Affiliation(s)
- Leonard Taufik
- Australian Centre for Ancient DNA, School of Biological Sciences, University of Adelaide, Adelaide, SA 5005, Australia
- Centre of Excellence for Australian Biodiversity and Heritage, University of Adelaide, Adelaide, SA 5005, Australia
- Mochtar Riady Institute for Nanotechnology, Tangerang 15810, Indonesia
- Correspondence: (L.T.); (G.A.P.)
| | - João C. Teixeira
- Australian Centre for Ancient DNA, School of Biological Sciences, University of Adelaide, Adelaide, SA 5005, Australia
- Centre of Excellence for Australian Biodiversity and Heritage, University of Adelaide, Adelaide, SA 5005, Australia
- Evolution of Cultural Diversity Initiative, Australian National University, Canberra, ACT 2601, Australia
- Centre for Interdisciplinary Studies, University of Coimbra, 3004-531 Coimbra, Portugal
| | - Bastien Llamas
- Australian Centre for Ancient DNA, School of Biological Sciences, University of Adelaide, Adelaide, SA 5005, Australia
- Centre of Excellence for Australian Biodiversity and Heritage, University of Adelaide, Adelaide, SA 5005, Australia
- Environment Institute, University of Adelaide, Adelaide, SA 5005, Australia
- National Centre for Indigenous Genomics, Australian National University, Canberra, ACT 2601, Australia
- Indigenous Genomics Research Group, Telethon Kids Institute, Adelaide, SA 5001, Australia
| | - Herawati Sudoyo
- Mochtar Riady Institute for Nanotechnology, Tangerang 15810, Indonesia
| | - Raymond Tobler
- Australian Centre for Ancient DNA, School of Biological Sciences, University of Adelaide, Adelaide, SA 5005, Australia
- Centre of Excellence for Australian Biodiversity and Heritage, University of Adelaide, Adelaide, SA 5005, Australia
- Evolution of Cultural Diversity Initiative, Australian National University, Canberra, ACT 2601, Australia
| | - Gludhug A. Purnomo
- Australian Centre for Ancient DNA, School of Biological Sciences, University of Adelaide, Adelaide, SA 5005, Australia
- Centre of Excellence for Australian Biodiversity and Heritage, University of Adelaide, Adelaide, SA 5005, Australia
- Correspondence: (L.T.); (G.A.P.)
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18
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Campelo dos Santos AL, Owings A, Sullasi HSL, Gokcumen O, DeGiorgio M, Lindo J. Genomic evidence for ancient human migration routes along South America's Atlantic coast. Proc Biol Sci 2022; 289:20221078. [PMID: 36322514 PMCID: PMC9629774 DOI: 10.1098/rspb.2022.1078] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
An increasing body of archaeological and genomic evidence has hinted at a complex settlement process of the Americas by humans. This is especially true for South America, where unexpected ancestral signals have raised perplexing scenarios for the early migrations into different regions of the continent. Here, we present ancient human genomes from the archaeologically rich Northeast Brazil and compare them to ancient and present-day genomic data. We find a distinct relationship between ancient genomes from Northeast Brazil, Lagoa Santa, Uruguay and Panama, representing evidence for ancient migration routes along South America's Atlantic coast. To further add to the existing complexity, we also detect greater Denisovan than Neanderthal ancestry in ancient Uruguay and Panama individuals. Moreover, we find a strong Australasian signal in an ancient genome from Panama. This work sheds light on the deep demographic history of eastern South America and presents a starting point for future fine-scale investigations on the regional level.
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Affiliation(s)
- Andre Luiz Campelo dos Santos
- Department of Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL 33431, USA,Department of Archaeology, Federal University of Pernambuco, Recife, Pernambuco 50670-901, Brazil
| | - Amanda Owings
- Department of Anthropology, Emory University, Atlanta, GA 30322, USA
| | | | - Omer Gokcumen
- Department of Biological Sciences, State University of New York at Buffalo, Buffalo, NY 14260, USA
| | - Michael DeGiorgio
- Department of Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL 33431, USA
| | - John Lindo
- Department of Anthropology, Emory University, Atlanta, GA 30322, USA
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19
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Talking Dead. New burials from Tron Bon Lei (Alor Island, Indonesia) inform on the evolution of mortuary practices from the terminal Pleistocene to the Holocene in Southeast Asia. PLoS One 2022; 17:e0267635. [PMID: 36001542 PMCID: PMC9401180 DOI: 10.1371/journal.pone.0267635] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 04/12/2022] [Indexed: 11/19/2022] Open
Abstract
Burial elaborations are a human behaviour that, in recent contexts can inform on social diversification, belief systems, and the introduction of new practices resulting from migration or cultural transmission. The study of mortuary practices in Mainland and Island Southeast Asia has revealed complex and diverse treatments of the deceased. This paper contributes to this topic with the description of three new burials excavated in Tron Bon Lei (Alor Island, Indonesia) dated to 7.5, 10, and 12 kya cal BP. In addition to the bioskeletal profiles and palaeohealth observations, we propose the adoption of archaeothanatological methods to characterise burial types in the region. Through the analysis of skeletal element representation, body position, articulation, and grave associations, we provide an example of a holistic approach to mortuary treatments in the Lesser Sunda Islands. Our results provide significant new data for understanding the evolution and diversification of burial practices in Southeast Asia, contributing to a growing body of literature describing prehistoric socio-cultural behaviour in this region.
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20
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Cui N, Chen W, Li X, Wang P. Comparative chloroplast genomes and phylogenetic analyses of Pinellia. Mol Biol Rep 2022; 49:7873-7885. [PMID: 35689783 PMCID: PMC9304046 DOI: 10.1007/s11033-022-07617-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Accepted: 05/18/2022] [Indexed: 11/30/2022]
Abstract
Background Pinellia Tenore (Araceae) is a genus of perennial herbaceous plants, all of which have medicinal value. The chloroplast (cp) genome data of Pinellia are scarce, and the phylogenetic relationship and gene evolution remain unclear. Methods and results We sequenced and annotated the Pinellia pedatisecta cp genome and combined it with previously published genomes for other Pinellia species. We used bioinformatics methods to analyse the genomic structure, repetitive sequences, interspecific variation, divergence hotspots, phylogenetic relationships, divergence time estimation and selective pressure of four Pinellia plastomes. Results showed that the cp genomes of Pinellia varied in length between 168,178 (P. pedatisecta MN046890) and 164,013 bp (P. ternata KR270823). A total of 68–111 SSR loci were identified as candidate molecular markers for further genetic diversity study. Eight mutational hotspot regions were determined, including psbI-trnG-UCC, psbM-rpoB, ndhJ-trnT-UGU, trnP-UGG-trnW-CCA, ndhF-trnN-GUU, ndhG-ndhE, ycf1-rps15 and trnR-ycf1. Gene selection pressure suggested that four genes were subjected to positive selection. Phylogenetic inferences based on the complete cp genomes revealed a sister relationship between Pinellia and Arisaema plants whose divergence was estimated to occur around 22.48 million years ago. All Pinellia species formed a monophyletic evolutionary clade in which P. peltata, rather than P. pedatisecta, earlier diverged, indicating that P. pedatisecta is not the basal taxon of Pinellia but P. peltata may be. Conclusions The cp genomes of Pinellia will provide valuable information for species classification, identification, molecular breeding and evolutionary exploration of the genus Pinellia. Supplementary Information The online version of this article (10.1007/s11033-022-07617-5) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Ning Cui
- Central Laboratory, Shandong Academy of Chinese Medicine, Ji'nan, China
| | - Weixu Chen
- Shang Yao Hua Yu (LinYi) Traditional Chinese Medicine Resources Co., Ltd, Linyi, China
| | - Xiwen Li
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China.
| | - Ping Wang
- Central Laboratory, Shandong Academy of Chinese Medicine, Ji'nan, China.
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21
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Zhang X, Ji X, Li C, Yang T, Huang J, Zhao Y, Wu Y, Ma S, Pang Y, Huang Y, He Y, Su B. A Late Pleistocene human genome from Southwest China. Curr Biol 2022; 32:3095-3109.e5. [PMID: 35839766 DOI: 10.1016/j.cub.2022.06.016] [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: 12/24/2021] [Revised: 05/27/2022] [Accepted: 06/08/2022] [Indexed: 11/25/2022]
Abstract
Southern East Asia is the dispersal center regarding the prehistoric settlement and migrations of modern humans in Asia-Pacific regions. However, the settlement pattern and population structure of paleolithic humans in this region remain elusive, and ancient DNA can provide direct information. Here, we sequenced the genome of a Late Pleistocene hominin (MZR), dated ∼14.0 thousand years ago from Red Deer Cave located in Southwest China, which was previously reported possessing mosaic features of modern and archaic hominins. MZR is the first Late Pleistocene genome from southern East Asia. Our results indicate that MZR is a modern human who represents an early diversified lineage in East Asia. The mtDNA of MZR belongs to an extinct basal lineage of the M9 haplogroup, reflecting a rich matrilineal diversity in southern East Asia during the Late Pleistocene. Combined with the published data, we detected clear genetic stratification in ancient southern populations of East/Southeast Asia and some degree of south-versus-north divergency during the Late Pleistocene, and MZR was identified as a southern East Asian who exhibits genetic continuity to present day populations. Markedly, MZR is linked deeply to the East Asian ancestry that contributed to First Americans.
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Affiliation(s)
- Xiaoming Zhang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650201, China; Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650201, China
| | - Xueping Ji
- Kunming Natural History Museum of Zoology, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China; Department of Paleoanthropology, Yunnan Institute of Cultural Relics and Archaeology, Kunming 650118, China.
| | - Chunmei Li
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650201, China; Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650201, China
| | - Tingyu Yang
- Biomedical Pioneering Innovation Center (BIOPIC) and Beijing Advanced Innovation Center for Genomics (ICG), Peking University, Beijing 100871, China
| | - Jiahui Huang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650201, China; Kunming College of Life Science, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yinhui Zhao
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650201, China; Kunming College of Life Science, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yun Wu
- Department of Paleoanthropology, Yunnan Institute of Cultural Relics and Archaeology, Kunming 650118, China; School of History, Wuhan University, Wuhan 430072, China; Archaeological Institute for Yangtze Civilization, Wuhan University, Wuhan 430072, China
| | - Shiwu Ma
- Mengzi Institute of Cultural Relics, Mengzi, Yunnan Province 661100, China
| | - Yuhong Pang
- Biomedical Pioneering Innovation Center (BIOPIC) and Beijing Advanced Innovation Center for Genomics (ICG), Peking University, Beijing 100871, China
| | - Yanyi Huang
- Biomedical Pioneering Innovation Center (BIOPIC) and Beijing Advanced Innovation Center for Genomics (ICG), Peking University, Beijing 100871, China
| | - Yaoxi He
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650201, China; Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650201, China.
| | - Bing Su
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650201, China; Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650201, China.
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22
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Brucato N, André M, Hudjashov G, Mondal M, Cox MP, Leavesley M, Ricaut FX. Chronology of natural selection in Oceanian genomes. iScience 2022; 25:104583. [PMID: 35880026 PMCID: PMC9308150 DOI: 10.1016/j.isci.2022.104583] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 05/11/2022] [Accepted: 06/07/2022] [Indexed: 11/30/2022] Open
Abstract
As human populations left Asia to first settle in Oceania around 50,000 years ago, they entered a territory ecologically separated from the Old World for millions of years. We analyzed genomic data of 239 modern Oceanian individuals to detect and date signals of selection specific to this region. Combining both relative and absolute dating approaches, we identified a strong selection pattern between 52,000 and 54,000 years ago in the genomes of descendants of the first settlers of Sahul. This strikingly corresponds to the dates of initial settlement as inferred from archaeological evidence. Loci under selection during this period, some showing enrichment in Denisovan ancestry, overlap genes involved in the immune response and diet, especially based on plants. Pathogens and natural resources, especially from endemic plants, therefore appear to have acted as strong selective pressures on the genomes of the first settlers of Sahul.
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Affiliation(s)
- Nicolas Brucato
- Laboratoire Évolution et Diversité Biologique (EDB UMR 5174), Université de Toulouse Midi-Pyrénées, CNRS, IRD, UPS. 118 route de Narbonne, Bat 4R1, 31062 cedex 9 Toulouse, France
| | - Mathilde André
- Laboratoire Évolution et Diversité Biologique (EDB UMR 5174), Université de Toulouse Midi-Pyrénées, CNRS, IRD, UPS. 118 route de Narbonne, Bat 4R1, 31062 cedex 9 Toulouse, France
- Institute of Genomics, University of Tartu, Tartu, 51010 Tartumaa, Estonia
| | - Georgi Hudjashov
- Institute of Genomics, University of Tartu, Tartu, 51010 Tartumaa, Estonia
| | - Mayukh Mondal
- Institute of Genomics, University of Tartu, Tartu, 51010 Tartumaa, Estonia
| | - Murray P. Cox
- School of Natural Sciences, Massey University, Palmerston North 4442, New Zealand
| | - Matthew Leavesley
- Strand of Anthropology, Sociology and Archaeology, School of Humanities and Social Sciences, University of Papua New Guinea, PO Box 320, National Capital District 134, Papua New Guinea
- College of Arts, Society and Education, James Cook University, P.O. Box 6811, Cairns, QLD 4870, Australia
- ARC Centre of Excellence for Australian Biodiversity and Heritage, University of Wollongong, Wollongong, NSW 2522, Australia
| | - François-Xavier Ricaut
- Laboratoire Évolution et Diversité Biologique (EDB UMR 5174), Université de Toulouse Midi-Pyrénées, CNRS, IRD, UPS. 118 route de Narbonne, Bat 4R1, 31062 cedex 9 Toulouse, France
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23
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Ancient genomes from the last three millennia support multiple human dispersals into Wallacea. Nat Ecol Evol 2022; 6:1024-1034. [PMID: 35681000 PMCID: PMC9262713 DOI: 10.1038/s41559-022-01775-2] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 04/13/2022] [Indexed: 12/27/2022]
Abstract
Previous research indicates that human genetic diversity in Wallacea-islands in present-day Eastern Indonesia and Timor-Leste that were never part of the Sunda or Sahul continental shelves-has been shaped by complex interactions between migrating Austronesian farmers and indigenous hunter-gatherer communities. Yet, inferences based on present-day groups proved insufficient to disentangle this region's demographic movements and admixture timings. Here, we investigate the spatio-temporal patterns of variation in Wallacea based on genome-wide data from 16 ancient individuals (2600-250 years BP) from the North Moluccas, Sulawesi and East Nusa Tenggara. While ancestry in the northern islands primarily reflects contact between Austronesian- and Papuan-related groups, ancestry in the southern islands reveals additional contributions from Mainland Southeast Asia that seem to predate the arrival of Austronesians. Admixture time estimates further support multiple and/or continuous admixture involving Papuan- and Asian-related groups throughout Wallacea. Our results clarify previously debated times of admixture and suggest that the Neolithic dispersals into Island Southeast Asia are associated with the spread of multiple genetic ancestries.
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24
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Karmin M, Flores R, Saag L, Hudjashov G, Brucato N, Crenna-Darusallam C, Larena M, Endicott PL, Jakobsson M, Lansing JS, Sudoyo H, Leavesley M, Metspalu M, Ricaut FX, Cox MP. Episodes of Diversification and Isolation in Island Southeast Asian and Near Oceanian Male Lineages. Mol Biol Evol 2022; 39:msac045. [PMID: 35294555 PMCID: PMC8926390 DOI: 10.1093/molbev/msac045] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Island Southeast Asia (ISEA) and Oceania host one of the world's richest assemblages of human phenotypic, linguistic, and cultural diversity. Despite this, the region's male genetic lineages are globally among the last to remain unresolved. We compiled ∼9.7 Mb of Y chromosome (chrY) sequence from a diverse sample of over 380 men from this region, including 152 first reported here. The granularity of this data set allows us to fully resolve and date the regional chrY phylogeny. This new high-resolution tree confirms two main population bursts: multiple rapid diversifications following the region's initial settlement ∼50 kya, and extensive expansions <6 kya. Notably, ∼40-25 kya the deep rooting local lineages of C-M130, M-P256, and S-B254 show almost no further branching events in ISEA, New Guinea, and Australia, matching a similar pause in diversification seen in maternal mitochondrial DNA lineages. The main local lineages start diversifying ∼25 kya, at the time of the last glacial maximum. This improved chrY topology highlights localized events with important historical implications, including pre-Holocene contact between Mainland and ISEA, potential interactions between Australia and the Papuan world, and a sustained period of diversification following the flooding of the ancient Sunda and Sahul continents as the insular landscape observed today formed. The high-resolution phylogeny of the chrY presented here thus enables a detailed exploration of past isolation, interaction, and change in one of the world's least understood regions.
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Affiliation(s)
- Monika Karmin
- School of Natural Sciences, Massey University, Palmerston North, New Zealand
- Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Rodrigo Flores
- Institute of Genomics, University of Tartu, Tartu, Estonia
- Institute of Computer Science, University of Tartu, Tartu, Estonia
| | - Lauri Saag
- Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Georgi Hudjashov
- School of Natural Sciences, Massey University, Palmerston North, New Zealand
- Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Nicolas Brucato
- Laboratoire Evolution et Diversité Biologique (EDB UMR 5174), Université de Toulouse Midi-Pyrénées, CNRS, IRD, UPS, Toulouse, France
| | - Chelzie Crenna-Darusallam
- Genome Diversity and Disease Laboratory, Eijkman Institute for Molecular Biology, Jakarta, Indonesia
| | - Maximilian Larena
- Department of Organismal Biology, University of Uppsala, Uppsala, Sweden
| | - Phillip L Endicott
- Institute of Genomics, University of Tartu, Tartu, Estonia
- Department Hommes Natures Societies, Musée de l’Homme, Paris, France
| | - Mattias Jakobsson
- Department of Organismal Biology, University of Uppsala, Uppsala, Sweden
| | - J Stephen Lansing
- Complexity Science Hub Vienna, Vienna, Austria
- Santa Fe Institute Center for Advanced Study in the Behavioral Sciences, Stanford University, Santa Fe, USA
| | - Herawati Sudoyo
- Genome Diversity and Disease Laboratory, Eijkman Institute for Molecular Biology, Jakarta, Indonesia
| | - Matthew Leavesley
- School of Humanities and Social Sciences, University of Papua New Guinea, National Capital District, Papua New Guinea
- CABAH and College of Arts, Society and Education, James Cook University, Cairns, QLD, Australia
| | - Mait Metspalu
- Institute of Genomics, University of Tartu, Tartu, Estonia
| | - François-Xavier Ricaut
- Laboratoire Evolution et Diversité Biologique (EDB UMR 5174), Université de Toulouse Midi-Pyrénées, CNRS, IRD, UPS, Toulouse, France
| | - Murray P Cox
- School of Natural Sciences, Massey University, Palmerston North, New Zealand
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25
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Göllner T, Larena M, Kutanan W, Lukas H, Fieder M, Schaschl H. Unveiling the Genetic History of the Maniq, a primary hunter-gatherer society. Genome Biol Evol 2022; 14:6526392. [PMID: 35143674 PMCID: PMC9005329 DOI: 10.1093/gbe/evac021] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/01/2022] [Indexed: 11/17/2022] Open
Abstract
The Maniq of southern Thailand is one of the last remaining practicing hunter-gatherer communities in the world. However, our knowledge on their genetic origins and demographic history is still largely limited. We present here the genotype data covering ∼2.3 million single nucleotide polymorphisms of 11 unrelated Maniq individuals. Our analyses reveal the Maniq to be closely related to the Semang populations of Malaysia (Malay Negritos), who altogether carry an Andamanese-related ancestry linked to the ancient Hòabìnhian hunter-gatherers of Mainland Southeast Asia (MSEA). Moreover, the Maniq possess ∼35% East Asian-related ancestry, likely brought about by recent admixture with surrounding agriculturist communities in the region. In addition, the Maniq exhibit one of the highest levels of genetic differentiation found among living human populations, indicative of their small population size and historical practice of endogamy. Similar to other hunter-gatherer populations of MSEA, we also find the Maniq to possess low levels of Neanderthal ancestry and undetectable levels of Denisovan ancestry. Altogether, we reveal the Maniq to be a Semang group that experienced intense genetic drift and exhibits signs of ancient Hòabìnhian ancestry.
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Affiliation(s)
- Tobias Göllner
- Department of Evolutionary Anthropology, Faculty of Life Sciences, University of Vienna, Vienna, Austria
| | - Maximilian Larena
- Human Evolution, Department of Organismal Biology, Uppsala University, Norbyvägen, Uppsala, 18C, 75236, Sweden
| | - Wibhu Kutanan
- Department of Biology, Faculty of Science, Khon Kaen University, Khon Kaen, 40002, Thailand
| | - Helmut Lukas
- Institute for Social Anthropology, Austrian Academy of Sciences, Vienna, Austria
| | - Martin Fieder
- Department of Evolutionary Anthropology, Faculty of Life Sciences, University of Vienna, Vienna, Austria
| | - Helmut Schaschl
- Department of Evolutionary Anthropology, Faculty of Life Sciences, University of Vienna, Vienna, Austria
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26
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Hoh BP, Deng L, Xu S. The Peopling and Migration History of the Natives in Peninsular Malaysia and Borneo: A Glimpse on the Studies Over the Past 100 years. Front Genet 2022; 13:767018. [PMID: 35154269 PMCID: PMC8829068 DOI: 10.3389/fgene.2022.767018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Accepted: 01/07/2022] [Indexed: 12/05/2022] Open
Abstract
Southeast Asia (SEA) has one of the longest records of modern human habitation out-of-Africa. Located at the crossroad of the mainland and islands of SEA, Peninsular Malaysia is an important piece of puzzle to the map of peopling and migration history in Asia, a question that is of interest to many anthropologists, archeologists, and population geneticists. This review aims to revisit our understanding to the population genetics of the natives from Peninsular Malaysia and Borneo over the past century based on the chronology of the technology advancement: 1) Anthropological and Physical Characterization; 2) Blood Group Markers; 3) Protein Markers; 4) Mitochondrial and Autosomal DNA Markers; and 5) Whole Genome Analysis. Subsequently some missing gaps of the study are identified. In the later part of this review, challenges of studying the population genetics of natives will be elaborated. Finally, we conclude our review by reiterating the importance of unveiling migration history and genetic diversity of the indigenous populations as a steppingstone towards comprehending disease evolution and etiology.
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Affiliation(s)
- Boon-Peng Hoh
- Faculty of Medicine and Health Sciences, UCSI University, UCSI Hospital, Port Dickson, Malaysia
| | - Lian Deng
- State Key Laboratory of Genetic Engineering, Center for Evolutionary Biology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
| | - Shuhua Xu
- State Key Laboratory of Genetic Engineering, Center for Evolutionary Biology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
- Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
- Department of Liver Surgery and Transplantation Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China
- Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Human Phenome Institute, Fudan University, Shanghai, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China
- Jiangsu Key Laboratory of Phylogenomics and Comparative Genomics, School of Life Sciences, Jiangsu Normal University, Xuzhou, China
- Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China
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