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Aguilar-Gómez D, Bejder J, Graae J, Ko Y, Vaughn A, Clement K, Tristani-Firouzi M, Lee JY, Nordsborg NB, Nielsen R, Ilardo M. Genetic and training adaptations in the Haenyeo divers of Jeju, Korea. Cell Rep 2025:115577. [PMID: 40318638 DOI: 10.1016/j.celrep.2025.115577] [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: 03/12/2024] [Revised: 02/04/2025] [Accepted: 03/27/2025] [Indexed: 05/07/2025] Open
Abstract
Natural selection and relative isolation have shaped the genetics and physiology of unique human populations from Greenland to Tibet. Another such population is the Haenyeo, the all-female Korean divers renowned for their remarkable diving abilities in frigid waters. Apnea diving induces considerable physiological strain, particularly in females diving throughout pregnancy. In this study, we explore the hypothesis that breath-hold diving has shaped physiological and genetic traits in the Haenyeo. We identified pronounced bradycardia during diving, a likely training effect. We paired natural selection and genetic association analyses to investigate adaptive genetic variation that may mitigate the effects of diving on pregnancy through an associated reduction of diastolic blood pressure. Finally, we identified positively selected variation in a gene previously associated with cold water tolerance, which may contribute to reduced hypothermia susceptibility. These findings highlight the importance of traditional diving populations for understanding genetic and physiological adaptation.
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Affiliation(s)
- Diana Aguilar-Gómez
- Ecology and Evolutionary Biology, University of California, Los Angeles, 612 Charles E. Young Drive South, Los Angeles, CA 90095, USA; Center for Computational Biology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Jacob Bejder
- Department of Nutrition, Exercise, and Sports, University of Copenhagen, Nørre Allé 51, 2200 Copenhagen, Denmark
| | - Jonathan Graae
- Department of Nutrition, Exercise, and Sports, University of Copenhagen, Nørre Allé 51, 2200 Copenhagen, Denmark
| | - Yelin Ko
- Department of Human-Centered Design, Cornell University, Ithaca, NY 14850, USA
| | - Andrew Vaughn
- Center for Computational Biology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Kendell Clement
- Department of Biomedical Informatics, University of Utah, 421 Wakara Way #140, Salt Lake City, UT 84108, USA
| | - Martin Tristani-Firouzi
- Division of Pediatric Cardiology, Department of Pediatrics, University of Utah, 81 Mario Capecchi Dr., Salt Lake City, UT, USA; Nora Eccles Harrison CVRTI Cardiovascular Research Training Institute, University of Utah, Salt Lake City, UT, USA
| | - Joo-Young Lee
- Research Institute for Human Ecology, College of Human Ecology, Seoul National University, Seoul 08826, Republic of Korea; Graphene Research Center for Convergence Technology, Advanced Institute of Convergence Technology, Suwon 16229, Republic of Korea
| | - Nikolai B Nordsborg
- Department of Nutrition, Exercise, and Sports, University of Copenhagen, Nørre Allé 51, 2200 Copenhagen, Denmark
| | - Rasmus Nielsen
- Center for Computational Biology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Melissa Ilardo
- Department of Biomedical Informatics, University of Utah, 421 Wakara Way #140, Salt Lake City, UT 84108, USA; Nora Eccles Harrison CVRTI Cardiovascular Research Training Institute, University of Utah, Salt Lake City, UT, USA.
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2
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Fan C, Cahoon JL, Dinh BL, Ortega-Del Vecchyo D, Huber CD, Edge MD, Mancuso N, Chiang CWK. A likelihood-based framework for demographic inference from genealogical trees. Nat Genet 2025; 57:865-874. [PMID: 40113903 DOI: 10.1038/s41588-025-02129-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: 10/23/2023] [Accepted: 02/14/2025] [Indexed: 03/22/2025]
Abstract
The demographic history of a population underlies patterns of genetic variation and is encoded in the gene-genealogical trees of the sampled haplotypes. Here we propose a demographic inference framework called the genealogical likelihood (gLike). Our method uses a graph-based structure to summarize the relationships among all lineages in a gene-genealogical tree with all possible trajectories of population memberships through time and derives the full likelihood across trees under a parameterized demographic model. We show through simulations and empirical applications that for populations that have experienced multiple admixtures, gLike can accurately estimate dozens of demographic parameters, including ancestral population sizes, admixture timing and admixture proportions, and it outperforms conventional demographic inference methods using the site frequency spectrum. Taken together, our proposed gLike framework harnesses underused genealogical information to offer high sensitivity and accuracy in inferring complex demographies for humans and other species.
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Affiliation(s)
- Caoqi Fan
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA.
| | - Jordan L Cahoon
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA
- Department of Computer Science, University of Southern California, Los Angeles, CA, USA
| | - Bryan L Dinh
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA
| | - Diego Ortega-Del Vecchyo
- Laboratorio Internacional de Investigación sobre el Genoma Humano, Universidad Nacional Autónoma de México, Querétaro, México
| | - Christian D Huber
- Department of Biology, Penn State University, University Park, PA, USA
| | - Michael D Edge
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA
| | - Nicholas Mancuso
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA
| | - Charleston W K Chiang
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA.
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3
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Wen J, Chen H, Pan Y, Yang Y, Mamatyusupu D, Maimaitiyiming D, Xu S. Sex-Biased Admixture Followed by Isolation and Adaptive Evolution Shaped the Genomic and Blood Pressure Diversity of the LopNur People. Mol Biol Evol 2025; 42:msaf091. [PMID: 40235149 PMCID: PMC12034462 DOI: 10.1093/molbev/msaf091] [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: 05/30/2024] [Revised: 12/28/2024] [Accepted: 04/01/2025] [Indexed: 04/17/2025] Open
Abstract
The LopNur people are an ethnic group living on the edge of the Taklamakan Desert, and they are believed to demonstrate a unique genetic makeup due to their isolation and limited contact with neighboring populations. However, a lack of genetic studies on the LopNur people has resulted in limited knowledge about their ancestral origins and demographic history. Here, we conducted the first whole-genome sequencing study of 164 LopNur individuals (LOP) to gain insight into their genetic history and adaptive evolution in an isolated desert area. Our analysis revealed that the present-day LOP have experienced a complex history of admixture followed by long-term isolation, with their ancestry derived from East Asia (∼41.46%), West Eurasia (∼26.43%), Siberia (∼24.27%), and South Asia (∼7.82%). Notably, a remarkable sex-biased admixture occurred between Western males and Eastern females. In addition to complex admixture followed by long-term geographic isolation and further recent migrations, adaptive evolution jointly formed the gene pool and phenotypic diversity of the present-day LOP. Intriguingly, our analysis suggests that the USP35-GAB2 region may be correlated with blood pressure in LOP, based on a joint analysis of genomics and blood pressure data. Moreover, we identified two variants, rs7387065, and rs2229437, located on CSMD1 and PRCP, respectively. These variants exhibited frequency differences between Asian and European populations and were reported to be associated with antihypertensive drug absorption. Our results provide new insight into the complex history of the LOP, an admixed and isolated ethnic group residing at the crossroads of East and West, a case with ancient admixture, long-term isolation, adaptive evolution, and sex-biased gene flow.
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Affiliation(s)
- Jia Wen
- State Key Laboratory of Genetics and Development of Complex Phenotypes, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Center for Evolutionary Biology, School of Life Sciences, Fudan University, Shanghai 200438, China
| | - Hao Chen
- Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Yuwen Pan
- Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Yuhan Yang
- State Key Laboratory of Genetics and Development of Complex Phenotypes, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Center for Evolutionary Biology, School of Life Sciences, Fudan University, Shanghai 200438, China
- Ministry of Education Key Laboratory of Contemporary Anthropology, Fudan University, Shanghai 200438, China
| | - Dolikun Mamatyusupu
- College of the Life Sciences and Technology, Xinjiang University, Urumqi 830046, China
| | - Dilinuer Maimaitiyiming
- The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang 830054, China
| | - Shuhua Xu
- State Key Laboratory of Genetics and Development of Complex Phenotypes, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Center for Evolutionary Biology, School of Life Sciences, Fudan University, Shanghai 200438, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
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4
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Ramírez-Díaz J, Bobbo T, Guldbrandtsen B, Schönherz AA, Cozzi P, Kusza S, Sahana G, Stella A, Manunza A. Exploring the complex population structure and admixture of four local Hungarian sheep breeds. Front Genet 2025; 16:1507315. [PMID: 40176790 PMCID: PMC11962792 DOI: 10.3389/fgene.2025.1507315] [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: 10/07/2024] [Accepted: 02/17/2025] [Indexed: 04/04/2025] Open
Abstract
The origin of sheep and their spread following domestication have been widely investigated using archaeology, genetics, and genomics. A thorough investigation of the genetic diversity of the breeds is key to providing useful information for conservation and breeding programmes. In Hungary, sheep farming contributes to the agricultural sector and national economy. It plays a crucial role in rural livelihoods, exports, and environmental management while also contributing to the national economy and preserving Hungary's cultural and agricultural heritage through traditional breeds. This study aims to analyse the population structure and patterns of admixture in four local Hungarian sheep breeds, namely, Indigenous Tsigai, Hortobagyi Racka, Cikta, and Bábolna Tetra. Our results revealed that the indigenous Hungarian Hortobagyi Racka sheep are distinct from the other Hungarian breeds studied. The effective population sizes were found to be low, with varying levels of genomic inbreeding both within and across breeds. These results align with documented bottlenecks and instances of crossbreeding with other local or improved breeds. Ancestry analysis demonstrated some introgression between Scandinavian and Hungarian sheep breeds and vice versa. This gene flow may have occurred recently due to the widespread use of northern breeds such as Finnsheep and Romanov to enhance productivity, but it could also date back much further. Despite some limitations, our outcomes can contribute to future conservation plans, and a more comprehensive analysis of all native Hungarian sheep breeds should be highlighted to the relevant authorities in order to secure further funds.
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Affiliation(s)
- Johanna Ramírez-Díaz
- Institute of Agricultural Biology and Biotechnology, National Research Council, Milan, Italy
| | - Tania Bobbo
- Institute for Biomedical Technologies, National Research Council (CNR), Segrate, Italy
| | - Bernt Guldbrandtsen
- Department of Veterinary and Animal Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Anna A. Schönherz
- Department of Animal and Veterinary Sciences, Aarhus University, Aarhus, Denmark
| | - Paolo Cozzi
- Institute of Agricultural Biology and Biotechnology, National Research Council, Milan, Italy
| | - Szilvia Kusza
- Centre for Agricultural Genomics and Biotechnology, University of Debrecen, Debrecen, Hungary
| | - Goutam Sahana
- Center for Quantitative Genetics and Genomics, Aarhus University, Aarhus, Denmark
| | - Alessandra Stella
- Institute of Agricultural Biology and Biotechnology, National Research Council, Milan, Italy
| | - Arianna Manunza
- Institute of Agricultural Biology and Biotechnology, National Research Council, Milan, Italy
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5
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Teo B, Bastide P, Ané C. Leveraging graphical model techniques to study evolution on phylogenetic networks. Philos Trans R Soc Lond B Biol Sci 2025; 380:20230310. [PMID: 39976402 PMCID: PMC11867149 DOI: 10.1098/rstb.2023.0310] [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: 04/29/2024] [Revised: 08/27/2024] [Accepted: 09/16/2024] [Indexed: 02/21/2025] Open
Abstract
The evolution of molecular and phenotypic traits is commonly modelled using Markov processes along a phylogeny. This phylogeny can be a tree, or a network if it includes reticulations, representing events such as hybridization or admixture. Computing the likelihood of data observed at the leaves is costly as the size and complexity of the phylogeny grows. Efficient algorithms exist for trees, but cannot be applied to networks. We show that a vast array of models for trait evolution along phylogenetic networks can be reformulated as graphical models, for which efficient belief propagation algorithms exist. We provide a brief review of belief propagation on general graphical models, then focus on linear Gaussian models for continuous traits. We show how belief propagation techniques can be applied for exact or approximate (but more scalable) likelihood and gradient calculations, and prove novel results for efficient parameter inference of some models. We highlight the possible fruitful interactions between graphical models and phylogenetic methods. For example, approximate likelihood approaches have the potential to greatly reduce computational costs for phylogenies with reticulations.This article is part of the theme issue '"A mathematical theory of evolution": phylogenetic models dating back 100 years'.
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Affiliation(s)
- Benjamin Teo
- Department of Statistics, University of Wisconsin-Madison, Madison, WI, USA
| | - Paul Bastide
- IMAG, Université de Montpellier, CNRS, Montpellier, France
| | - Cécile Ané
- Department of Statistics, University of Wisconsin-Madison, Madison, WI, USA
- Department of Botany, University of Wisconsin-Madison, Madison, WI, USA
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6
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Lefebvre MJM, Degrugillier F, Arnathau C, Fontecha GA, Noya O, Houzé S, Severini C, Pradines B, Berry A, Trape JF, Sáenz FE, Prugnolle F, Fontaine MC, Rougeron V. Genomic exploration of the journey of Plasmodium vivax in Latin America. PLoS Pathog 2025; 21:e1012811. [PMID: 39804931 PMCID: PMC11761655 DOI: 10.1371/journal.ppat.1012811] [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: 05/30/2024] [Revised: 01/24/2025] [Accepted: 12/05/2024] [Indexed: 01/16/2025] Open
Abstract
Plasmodium vivax is the predominant malaria parasite in Latin America. Its colonization history in the region is rich and complex, and is still highly debated, especially about its origin(s). Our study employed cutting-edge population genomic techniques to analyze whole genome variation from 620 P. vivax isolates, including 107 newly sequenced samples from West Africa, Middle East, and Latin America. This sampling represents nearly all potential source populations worldwide currently available. Analyses of the genetic structure, diversity, ancestry, coalescent-based inferences, including demographic scenario testing using Approximate Bayesian Computation, have revealed a more complex evolutionary history than previously envisioned. Indeed, our analyses suggest that the current American P. vivax populations predominantly stemmed from a now-extinct European lineage, with the potential contribution also from unsampled populations, most likely of West African origin. We also found evidence that P. vivax arrived in Latin America in multiple waves, initially during early European contact and later through post-colonial human migration waves in the late 19th-century. This study provides a fresh perspective on P. vivax's intricate evolutionary journey and brings insights into the possible contribution of West African P. vivax populations to the colonization history of Latin America.
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Affiliation(s)
| | | | | | - Gustavo A. Fontecha
- Instituto de Investigaciones en Microbiología, Facultad de Ciencias, Universidad Nacional Autónoma de Honduras, Tegucigalpa, Honduras
| | - Oscar Noya
- Infectious Diseases Section, "Dr. Felix Pifano" Tropical Medicine Institute, Central University of Venezuela, Caracas, Venezuela
- Centro Para Estudios Sobre Malaria, "Dr. Arnoldo Gabaldón" High Studies Institute, Caracas, Venezuela
| | - Sandrine Houzé
- Université de Paris, MERIT, IRD, Paris, France
- AP-HP, Centre National de Référence sur le paludisme, hôpital Bichat-Claude-Bernard, Paris, France
| | - Carlo Severini
- Department of Infectious Diseases, Istituto Superiore di Sanità, Rome, Italy
| | - Bruno Pradines
- Unité parasitologie et entomologie, Institut de Médecine Tropicale du Service de Santé des Armées, Marseille, France
- Aix Marseille Univ, SSA, AP-HM, RITMES, Marseille, France
- IHU Méditerranée Infection, Marseille, France
- Centre national de référence du paludisme, Marseille, France
| | - Antoine Berry
- Institut Toulousain des Maladies Infectieuses et Inflammatoires (Infinity), Université de Toulouse, CNRS UMR5051, INSERM UMR 1291, UPS, Toulouse, France
- Département de Parasitologie et Mycologie, CHU Toulouse, Toulouse, France
| | | | - Fabian E. Sáenz
- Centro de Investigación para la Salud en América Latina, Facultad de Ciencias Exactas y Naturales, Pontificia Universidad Católica del Ecuador, Quito, Ecuador
| | - Franck Prugnolle
- REHABS, International Research Laboratory, CNRS-NMU-UCBL, George Campus, Nelson Mandela University, George, South Africa
- Sustainability Research Unit, George Campus, Nelson Mandela University, George, South Africa
| | - Michael C. Fontaine
- MiVEGEC, Univ. Montpellier, CNRS, IRD, Montpellier, France
- Groningen Institute for Evolutionary Life Sciences (GELIFES), University of Groningen, Groningen, The Netherlands
| | - Virginie Rougeron
- REHABS, International Research Laboratory, CNRS-NMU-UCBL, George Campus, Nelson Mandela University, George, South Africa
- Sustainability Research Unit, George Campus, Nelson Mandela University, George, South Africa
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7
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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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8
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Preiss R, Fletcher E, Garshol LM, Foster B, Ozsahin E, Lubberts M, van der Merwe G, Krogerus K. European farmhouse brewing yeasts form a distinct genetic group. Appl Microbiol Biotechnol 2024; 108:430. [PMID: 39093468 PMCID: PMC11297104 DOI: 10.1007/s00253-024-13267-3] [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: 04/18/2024] [Revised: 07/22/2024] [Accepted: 07/24/2024] [Indexed: 08/04/2024]
Abstract
The brewing industry is constantly evolving, driven by the quest for novel flavours and fermentation characteristics that cater to evolving consumer preferences. This study explores the genetic and phenotypic diversity of European farmhouse yeasts, traditionally used in rural brewing practices and maintained outside of pure culture industrial yeast selection. We isolated landrace brewing yeast strains from diverse geographical locations across Europe, including Norway, Lithuania, Latvia, and Russia, and also included African farmhouse brewing strains from Ghana. Our genomic analysis using long-read and short-read whole genome sequencing uncovered a genetically distinct group that diverges from industrial brewing yeasts. This group, which is closely related to ale brewing strains, is preliminarily named the 'European Farmhouse' group and shows greater predicted admixture from Asian fermentation strains. Through genomic and phenotypic analyses, including flavour metabolite analysis via headspace gas chromatography-mass spectrometry, sugar metabolite analysis via high-performance liquid chromatography, and wort fermentation analysis, we found a broad spectrum of fermentation capabilities, from rapid and efficient fermentation to unique aroma and flavour compound profiles, potentially offering novel traits for brewing applications. This study highlights the importance of preservation of brewing cultural heritage knowledge and resources including yeast cultures. KEY POINTS: • A large set of geographically diverse farmhouse brewing strains were characterized • Norwegian and Baltic farmhouse brewing strains form a distinct genetic group • Farmhouse strains show considerable diversity in fermentation and flavour formation.
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Affiliation(s)
| | - Eugene Fletcher
- Escarpment Laboratories, Guelph, ON, Canada
- Carleton University, Ottawa, Canada
| | | | - Barret Foster
- Department of Molecular and Cellular Biology, University of Guelph, Guelph, ON, Canada
| | - Emine Ozsahin
- Department of Molecular and Cellular Biology, University of Guelph, Guelph, ON, Canada
| | - Mark Lubberts
- Department of Molecular and Cellular Biology, University of Guelph, Guelph, ON, Canada
| | - George van der Merwe
- Department of Molecular and Cellular Biology, University of Guelph, Guelph, ON, Canada
| | - Kristoffer Krogerus
- VTT Technical Research Centre of Finland, Tekniikantie 21, 02150, Espoo, Finland.
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9
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Librado P, Tressières G, Chauvey L, Fages A, Khan N, Schiavinato S, Calvière-Tonasso L, Kusliy MA, Gaunitz C, Liu X, Wagner S, Der Sarkissian C, Seguin-Orlando A, Perdereau A, Aury JM, Southon J, Shapiro B, Bouchez O, Donnadieu C, Collin YRH, Gregersen KM, Jessen MD, Christensen K, Claudi-Hansen L, Pruvost M, Pucher E, Vulic H, Novak M, Rimpf A, Turk P, Reiter S, Brem G, Schwall C, Barrey É, Robert C, Degueurce C, Horwitz LK, Klassen L, Rasmussen U, Kveiborg J, Johannsen NN, Makowiecki D, Makarowicz P, Szeliga M, Ilchyshyn V, Rud V, Romaniszyn J, Mullin VE, Verdugo M, Bradley DG, Cardoso JL, Valente MJ, Telles Antunes M, Ameen C, Thomas R, Ludwig A, Marzullo M, Prato O, Bagnasco Gianni G, Tecchiati U, Granado J, Schlumbaum A, Deschler-Erb S, Mráz MS, Boulbes N, Gardeisen A, Mayer C, Döhle HJ, Vicze M, Kosintsev PA, Kyselý R, Peške L, O'Connor T, Ananyevskaya E, Shevnina I, Logvin A, Kovalev AA, Iderkhangai TO, Sablin MV, Dashkovskiy PK, Graphodatsky AS, Merts I, Merts V, Kasparov AK, Pitulko VV, Onar V, Öztan A, Arbuckle BS, McColl H, Renaud G, Khaskhanov R, Demidenko S, Kadieva A, Atabiev B, Sundqvist M, Lindgren G, López-Cachero FJ, Albizuri S, Trbojević Vukičević T, Rapan Papeša A, et alLibrado P, Tressières G, Chauvey L, Fages A, Khan N, Schiavinato S, Calvière-Tonasso L, Kusliy MA, Gaunitz C, Liu X, Wagner S, Der Sarkissian C, Seguin-Orlando A, Perdereau A, Aury JM, Southon J, Shapiro B, Bouchez O, Donnadieu C, Collin YRH, Gregersen KM, Jessen MD, Christensen K, Claudi-Hansen L, Pruvost M, Pucher E, Vulic H, Novak M, Rimpf A, Turk P, Reiter S, Brem G, Schwall C, Barrey É, Robert C, Degueurce C, Horwitz LK, Klassen L, Rasmussen U, Kveiborg J, Johannsen NN, Makowiecki D, Makarowicz P, Szeliga M, Ilchyshyn V, Rud V, Romaniszyn J, Mullin VE, Verdugo M, Bradley DG, Cardoso JL, Valente MJ, Telles Antunes M, Ameen C, Thomas R, Ludwig A, Marzullo M, Prato O, Bagnasco Gianni G, Tecchiati U, Granado J, Schlumbaum A, Deschler-Erb S, Mráz MS, Boulbes N, Gardeisen A, Mayer C, Döhle HJ, Vicze M, Kosintsev PA, Kyselý R, Peške L, O'Connor T, Ananyevskaya E, Shevnina I, Logvin A, Kovalev AA, Iderkhangai TO, Sablin MV, Dashkovskiy PK, Graphodatsky AS, Merts I, Merts V, Kasparov AK, Pitulko VV, Onar V, Öztan A, Arbuckle BS, McColl H, Renaud G, Khaskhanov R, Demidenko S, Kadieva A, Atabiev B, Sundqvist M, Lindgren G, López-Cachero FJ, Albizuri S, Trbojević Vukičević T, Rapan Papeša A, Burić M, Rajić Šikanjić P, Weinstock J, Asensio Vilaró D, Codina F, García Dalmau C, Morer de Llorens J, Pou J, de Prado G, Sanmartí J, Kallala N, Torres JR, Maraoui-Telmini B, Belarte Franco MC, Valenzuela-Lamas S, Zazzo A, Lepetz S, Duchesne S, Alexeev A, Bayarsaikhan J, Houle JL, Bayarkhuu N, Turbat T, Crubézy É, Shingiray I, Mashkour M, Berezina NY, Korobov DS, Belinskiy A, Kalmykov A, Demoule JP, Reinhold S, Hansen S, Wallner B, Roslyakova N, Kuznetsov PF, Tishkin AA, Wincker P, Kanne K, Outram A, Orlando L. Widespread horse-based mobility arose around 2200 BCE in Eurasia. Nature 2024; 631:819-825. [PMID: 38843826 PMCID: PMC11269178 DOI: 10.1038/s41586-024-07597-5] [Show More Authors] [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: 07/17/2023] [Accepted: 05/23/2024] [Indexed: 07/19/2024]
Abstract
Horses revolutionized human history with fast mobility1. However, the timeline between their domestication and their widespread integration as a means of transport remains contentious2-4. Here we assemble a collection of 475 ancient horse genomes to assess the period when these animals were first reshaped by human agency in Eurasia. We find that reproductive control of the modern domestic lineage emerged around 2200 BCE, through close-kin mating and shortened generation times. Reproductive control emerged following a severe domestication bottleneck starting no earlier than approximately 2700 BCE, and coincided with a sudden expansion across Eurasia that ultimately resulted in the replacement of nearly every local horse lineage. This expansion marked the rise of widespread horse-based mobility in human history, which refutes the commonly held narrative of large horse herds accompanying the massive migration of steppe peoples across Europe around 3000 BCE and earlier3,5. Finally, we detect significantly shortened generation times at Botai around 3500 BCE, a settlement from central Asia associated with corrals and a subsistence economy centred on horses6,7. This supports local horse husbandry before the rise of modern domestic bloodlines.
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Affiliation(s)
- Pablo Librado
- Centre d'Anthropobiologie et de Génomique de Toulouse, CNRS UMR 5288, Université Paul Sabatier, Faculté de Médecine Purpan, Toulouse, France.
- Institut de Biologia Evolutiva (CSIC - Universitat Pompeu Fabra), Barcelona, Spain.
| | - Gaetan Tressières
- Centre d'Anthropobiologie et de Génomique de Toulouse, CNRS UMR 5288, Université Paul Sabatier, Faculté de Médecine Purpan, Toulouse, France
| | - Lorelei Chauvey
- Centre d'Anthropobiologie et de Génomique de Toulouse, CNRS UMR 5288, Université Paul Sabatier, Faculté de Médecine Purpan, Toulouse, France
| | - Antoine Fages
- Centre d'Anthropobiologie et de Génomique de Toulouse, CNRS UMR 5288, Université Paul Sabatier, Faculté de Médecine Purpan, Toulouse, France
- Zoological institute, Department of Environmental Sciences, University of Basel, Basel, Switzerland
| | - Naveed Khan
- Centre d'Anthropobiologie et de Génomique de Toulouse, CNRS UMR 5288, Université Paul Sabatier, Faculté de Médecine Purpan, Toulouse, France
- Department of Biotechnology, Abdul Wali Khan University, Mardan, Pakistan
| | - Stéphanie Schiavinato
- Centre d'Anthropobiologie et de Génomique de Toulouse, CNRS UMR 5288, Université Paul Sabatier, Faculté de Médecine Purpan, Toulouse, France
| | - Laure Calvière-Tonasso
- Centre d'Anthropobiologie et de Génomique de Toulouse, CNRS UMR 5288, Université Paul Sabatier, Faculté de Médecine Purpan, Toulouse, France
| | - Mariya A Kusliy
- Centre d'Anthropobiologie et de Génomique de Toulouse, CNRS UMR 5288, Université Paul Sabatier, Faculté de Médecine Purpan, Toulouse, France
- Department of the Diversity and Evolution of Genomes, Institute of Molecular and Cellular Biology, Novosibirsk, Russia
| | - Charleen Gaunitz
- Centre d'Anthropobiologie et de Génomique de Toulouse, CNRS UMR 5288, Université Paul Sabatier, Faculté de Médecine Purpan, Toulouse, France
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Xuexue Liu
- Centre d'Anthropobiologie et de Génomique de Toulouse, CNRS UMR 5288, Université Paul Sabatier, Faculté de Médecine Purpan, Toulouse, France
| | - Stefanie Wagner
- Centre d'Anthropobiologie et de Génomique de Toulouse, CNRS UMR 5288, Université Paul Sabatier, Faculté de Médecine Purpan, Toulouse, France
- INRAE Division Ecology and Biodiversity (ECODIV), Plant Genomic Resources Center (CNRGV), Castanet Tolosan Cedex, France
| | - Clio Der Sarkissian
- Centre d'Anthropobiologie et de Génomique de Toulouse, CNRS UMR 5288, Université Paul Sabatier, Faculté de Médecine Purpan, Toulouse, France
| | - Andaine Seguin-Orlando
- Centre d'Anthropobiologie et de Génomique de Toulouse, CNRS UMR 5288, Université Paul Sabatier, Faculté de Médecine Purpan, Toulouse, France
| | - Aude Perdereau
- Genoscope, Institut de Biologie François Jacob, CEA, CNRS, Université d'Évry, Université Paris-Saclay, Évry, France
| | - Jean-Marc Aury
- Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Université d'Évry, Université Paris-Saclay, Évry, France
| | - John Southon
- Department of Earth System Science, University of California, Irvine, CA, USA
| | - Beth Shapiro
- Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, CA, USA
| | | | | | - Yvette Running Horse Collin
- Centre d'Anthropobiologie et de Génomique de Toulouse, CNRS UMR 5288, Université Paul Sabatier, Faculté de Médecine Purpan, Toulouse, France
- Taku Skan Skan Wasakliyapi: Global Institute for Traditional Sciences, Rapid City, SD, USA
| | | | - Mads Dengsø Jessen
- Department for Prehistory Middle Ages and Renaissance, National Museum of Denmark, Copenhagen K, Denmark
| | | | | | - Mélanie Pruvost
- UMR 5199 De la Préhistoire à l'Actuel: Culture, Environnement et Anthropologie (PACEA), CNRS, Université de Bordeaux, Pessac Cédex, France
| | | | | | - Mario Novak
- Centre for Applied Bioanthropology, Institute for Anthropological Research, Zagreb, Croatia
| | | | - Peter Turk
- Narodni muzej Slovenije, Ljubljana, Slovenia
| | - Simone Reiter
- Institute of Animal Breeding and Genetics, Department of Biomedical Sciences, University of Veterinary Medicine Vienna, Vienna, Austria
| | - Gottfried Brem
- Institute of Animal Breeding and Genetics, Department of Biomedical Sciences, University of Veterinary Medicine Vienna, Vienna, Austria
| | - Christoph Schwall
- Leibniz-Zentrum für Archäologie (LEIZA), Mainz, Germany
- Department of Prehistory & Western Asian/Northeast African Archaeology, Austrian Archaeological Institute (OeAI), Austrian Academy of Sciences (OeAW), Vienna, Austria
| | - Éric Barrey
- Université Paris-Saclay, AgroParisTech, INRAE GABI UMR1313, Jouy-en-Josas, France
| | - Céline Robert
- Université Paris-Saclay, AgroParisTech, INRAE GABI UMR1313, Jouy-en-Josas, France
- Ecole Nationale Vétérinaire d'Alfort, Maisons-Alfort, France
| | | | - Liora Kolska Horwitz
- National Natural History Collections, Edmond J. Safra Campus, Givat Ram, The Hebrew University, Jerusalem, Israel
| | | | - Uffe Rasmussen
- Department of Archaeology, Moesgaard Museum, Højbjerg, Denmark
| | - Jacob Kveiborg
- Department of Archaeological Science and Conservation, Moesgaard Museum, Højbjerg, Denmark
| | | | - Daniel Makowiecki
- Institute of Archaeology, Faculty of History, Nicolaus Copernicus University, Toruń, Poland
| | | | - Marcin Szeliga
- Institute of Archaeology, Maria Curie-Skłodowska University, Lublin, Poland
| | - Vasyl Ilchyshyn
- Kremenetsko-Pochaivskii Derzhavnyi Istoriko-arkhitekturnyi Zapovidnik, Kremenets, Ukraine
| | - Vitalii Rud
- Institute of Archaeology, National Academy of Sciences of Ukraine, Kyiv, Ukraine
| | - Jan Romaniszyn
- Faculty of Archaeology, Adam Mickiewicz University, Poznań, Poland
| | - Victoria E Mullin
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
| | - Marta Verdugo
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
| | - Daniel G Bradley
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
| | - João L Cardoso
- ICArEHB, Campus de Gambelas, University of Algarve, Faro, Portugal
- Universidade Aberta, Lisbon, Portugal
| | - Maria J Valente
- Faculdade de Ciências Humanas e Sociais, Centro de Estudos de Arqueologia, Artes e Ciências do Património, Universidade do Algarve, Faro, Portugal
| | - Miguel Telles Antunes
- Centre for Research on Science and Geological Engineering, Universidade Nova de Lisboa, Lisbon, Portugal
| | - Carly Ameen
- Department of Archaeology and History, University of Exeter, Exeter, UK
| | - Richard Thomas
- School of Archaeology and Ancient History, University of Leicester, Leicester, UK
| | - Arne Ludwig
- Department of Evolutionary Genetics, Leibniz-Institute for Zoo and Wildlife Research, Berlin, Germany
- Albrecht Daniel Thaer-Institute, Faculty of Life Sciences, Humboldt University Berlin, Berlin, Germany
| | - Matilde Marzullo
- Dipartimento di Beni Culturali e Ambientali, Università degli Studi di Milano, Milan, Italy
| | - Ornella Prato
- Dipartimento di Beni Culturali e Ambientali, Università degli Studi di Milano, Milan, Italy
| | | | - Umberto Tecchiati
- Dipartimento di Beni Culturali e Ambientali, Università degli Studi di Milano, Milan, Italy
| | - José Granado
- Department of Environmental Sciences, Integrative Prehistory and Archaeological Science, Basel University, Basel, Switzerland
| | - Angela Schlumbaum
- Department of Environmental Sciences, Integrative Prehistory and Archaeological Science, Basel University, Basel, Switzerland
| | - Sabine Deschler-Erb
- Department of Environmental Sciences, Integrative Prehistory and Archaeological Science, Basel University, Basel, Switzerland
| | - Monika Schernig Mráz
- Department of Environmental Sciences, Integrative Prehistory and Archaeological Science, Basel University, Basel, Switzerland
| | - Nicolas Boulbes
- Institut de Paléontologie Humaine, Fondation Albert Ier, Paris/UMR 7194 HNHP, MNHN-CNRS-UPVD/EPCC Centre Européen de Recherche Préhistorique, Tautavel, France
| | - Armelle Gardeisen
- Archéologie des Sociétés Méditeranéennes, Archimède IA-ANR-11-LABX-0032-01, CNRS UMR 5140, Université Paul Valéry, Montpellier, France
| | - Christian Mayer
- Department for Digitalization and Knowledge Transfer, Federal Monuments Authority Austria, Vienna, Austria
| | - Hans-Jürgen Döhle
- Landesamt für Denkmalpflege und Archäologie Sachsen-Anhalt - Landesmuseum für Vorgeschichte, Halle (Saale), Germany
| | - Magdolna Vicze
- National Institute of Archaeology, Hungarian National Museum, Budapest, Hungary
| | - Pavel A Kosintsev
- Paleoecology Laboratory, Institute of Plant and Animal Ecology, Ural Branch of the Russian Academy of Sciences, Ekaterinburg, Russia
- Department of History of the Institute of Humanities, Ural Federal University, Ekaterinburg, Russia
| | - René Kyselý
- Department of Natural Sciences and Archaeometry, Institute of Archaeology of the Czech Academy of Sciences, Prague, Czechia
| | | | | | - Elina Ananyevskaya
- Department of Archaeology, History Faculty, Vilnius University, Vilnius, Lithuania
| | - Irina Shevnina
- Laboratory for Archaeological Research, Akhmet Baitursynuly Kostanay Regional University, Kostanay, Kazakhstan
| | - Andrey Logvin
- Laboratory for Archaeological Research, Akhmet Baitursynuly Kostanay Regional University, Kostanay, Kazakhstan
| | - Alexey A Kovalev
- Department of Archaeological Heritage Preservation, Institute of Archaeology of the Russian Academy of Sciences, Moscow, Russia
| | - Tumur-Ochir Iderkhangai
- Department of Innovation and Technology, Ulaanbaatar Science and Technology Park, National University of Mongolia, Ulaanbaatar, Mongolia
| | - Mikhail V Sablin
- Zoological Institute, Russian Academy of Sciences, St Petersburg, Russia
| | - Petr K Dashkovskiy
- Department of Russian Regional Studies, National and State-confessional Relations, Altai State University, Barnaul, Russia
| | - Alexander S Graphodatsky
- Department of the Diversity and Evolution of Genomes, Institute of Molecular and Cellular Biology, Novosibirsk, Russia
| | - Ilia Merts
- Toraighyrov University, Joint Research Center for Archeological Studies, Pavlodar, Kazakhstan
- Department of Archaeology, Ethnography and Museology, Altai State University, Barnaul, Russia
| | - Viktor Merts
- Toraighyrov University, Joint Research Center for Archeological Studies, Pavlodar, Kazakhstan
| | - Aleksei K Kasparov
- Institute of the History of Material Culture, Russian Academy of Sciences, St. Petersburg, Russia
| | - Vladimir V Pitulko
- Institute of the History of Material Culture, Russian Academy of Sciences, St. Petersburg, Russia
- Peter the Great Museum of Anthropology and Ethnography (Kunstkamera), Russian Academy of Sciences, St Petersburg, Russia
| | - Vedat Onar
- Osteoarchaeology Practice and Research Center and Department of Anatomy, Faculty of Veterinary Medicine, Istanbul University-Cerrahpaşa, Istanbul, Türkiye
| | - Aliye Öztan
- Archaeology Department, Ankara University, Ankara, Türkiye
| | - Benjamin S Arbuckle
- Department of Anthropology, Alumni Building, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Hugh McColl
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Gabriel Renaud
- Centre d'Anthropobiologie et de Génomique de Toulouse, CNRS UMR 5288, Université Paul Sabatier, Faculté de Médecine Purpan, Toulouse, France
- Department of Health Technology, Section for Bioinformatics, Technical University of Denmark (DTU), Copenhagen, Denmark
| | - Ruslan Khaskhanov
- Kh. Ibragimov Complex Institute of the Russian Academy of Sciences (CI RAS), Grozny, Russia
| | - Sergey Demidenko
- Institute of Archaeology, Russian Academy of Sciences, Moscow, Russia
| | - Anna Kadieva
- Department of Archaeological Monuments, State Historical Museum, Moscow, Russian Federation
| | | | | | - Gabriella Lindgren
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden
- Center for Animal Breeding and Genetics, Department of Biosystems, KU Leuven, Leuven, Belgium
| | - F Javier López-Cachero
- Institut d'Arqueologia de la Universitat de Barcelona (IAUB), Seminari d'Estudis i Recerques Prehistoriques (SERP-UB), Universitat de Barcelona (UB), Barcelona, Spain
| | - Silvia Albizuri
- Institut d'Arqueologia de la Universitat de Barcelona (IAUB), Seminari d'Estudis i Recerques Prehistoriques (SERP-UB), Universitat de Barcelona (UB), Barcelona, Spain
| | - Tajana Trbojević Vukičević
- Department of Anatomy, Histology and Embryology, Faculty of Veterinary Medicine, University of Zagreb, Zagreb, Croatia
| | | | - Marcel Burić
- Department of Archaeology, Faculty of Humanities and Social Sciences, University of Zagreb, Zagreb, Croatia
| | | | - Jaco Weinstock
- Faculty of Arts and Humanities (Archaeology), University of Southampton, Southampton, UK
| | - David Asensio Vilaró
- Secció de Prehistòria i Arqueologia, IAUB Institut d'Arqueologia de la Universitat de Barcelona, Barcelona, Spain
| | - Ferran Codina
- C/Major, 20, Norfeu, Arqueologia Art i Patrimoni S.C., La Tallada d'Empordà, Spain
| | | | | | - Josep Pou
- Ajuntament de Calafell, Calafell (Tarragona), Spain
| | - Gabriel de Prado
- Museu d'Arqueologia de Catalunya (MAC-Ullastret), Ullastret, Spain
| | - Joan Sanmartí
- IEC-Institut d'Estudis Catalans (Union Académique Internationale), Barcelona, Spain
- Departament d'Història i Arqueologia, Facultat de Geografia i Història, Universitat de Barcelona, Barcelona, Spain
| | - Nabil Kallala
- Ecole Tunisienne d'Histoire et d'Anthropologie, Tunis, Tunisia
- University of Tunis, Institut National du Patrimoine, Tunis, Tunisia
| | | | | | - Maria-Carme Belarte Franco
- IEC-Institut d'Estudis Catalans (Union Académique Internationale), Barcelona, Spain
- ICREA, Catalan Institution for Research and Advanced Studies, Barcelona, Spain
- ICAC (Catalan Institute of Classical Archaeology), Tarragona, Spain
| | - Silvia Valenzuela-Lamas
- Archaeology of Social Dynamics (ASD), Institució Milà i Fontanals, Consejo Superior de Investigaciones Científicas (IMF-CSIC), Barcelona, Spain
- UNIARQ - Unidade de Arqueologia, Universidade de Lisboa, Alameda da Universidade, Lisboa, Portugal
| | - Antoine Zazzo
- Centre National de Recherche Scientifique, Muséum national d'Histoire naturelle, Archéozoologie, Archéobotanique (AASPE), CP 56, Paris, France
| | - Sébastien Lepetz
- Centre National de Recherche Scientifique, Muséum national d'Histoire naturelle, Archéozoologie, Archéobotanique (AASPE), CP 56, Paris, France
| | - Sylvie Duchesne
- Centre d'Anthropobiologie et de Génomique de Toulouse, CNRS UMR 5288, Université Paul Sabatier, Faculté de Médecine Purpan, Toulouse, France
| | - Anatoly Alexeev
- Institute for Humanities Research and Indigenous Studies of the North (IHRISN), Yakutsk, Russia
| | - Jamsranjav Bayarsaikhan
- Max Planck Institute of Geoanthropology, Jena, Germany
- Institute of Archaeology, Mongolian Academy of Science, Ulaanbaatar, Mongolia
| | - Jean-Luc Houle
- Department of Folk Studies and Anthropology, Western Kentucky University, Bowling Green, KY, USA
| | - Noost Bayarkhuu
- Archaeological Research Center and Department of Anthropology and Archaeology, National University of Mongolia, Ulaanbaatar, Mongolia
| | - Tsagaan Turbat
- Archaeological Research Center and Department of Anthropology and Archaeology, National University of Mongolia, Ulaanbaatar, Mongolia
| | - Éric Crubézy
- Centre d'Anthropobiologie et de Génomique de Toulouse, CNRS UMR 5288, Université Paul Sabatier, Faculté de Médecine Purpan, Toulouse, France
| | | | - Marjan Mashkour
- Centre National de Recherche Scientifique, Muséum national d'Histoire naturelle, Archéozoologie, Archéobotanique (AASPE), CP 56, Paris, France
- Central Laboratory, Bioarchaeology Laboratory, Archaeozoology section, University of Tehran, Tehran, Iran
| | - Natalia Ya Berezina
- Research Institute and Museum of Anthropology, Lomonosov Moscow State University, Moscow, Russia
| | - Dmitriy S Korobov
- Institute of Archaeology, Russian Academy of Sciences, Moscow, Russia
| | | | | | - Jean-Paul Demoule
- UMR du CNRS 8215 Trajectoires, Institut d'Art et Archéologie, Paris, France
| | - Sabine Reinhold
- Eurasia Department of the German Archaeological Institute, Berlin, Germany
| | - Svend Hansen
- Eurasia Department of the German Archaeological Institute, Berlin, Germany
| | - Barbara Wallner
- Institute of Animal Breeding and Genetics, Department of Biomedical Sciences, University of Veterinary Medicine Vienna, Vienna, Austria
| | - Natalia Roslyakova
- Department of Russian History and Archaeology, Samara State University of Social Sciences and Education, Samara, Russia
| | - Pavel F Kuznetsov
- Department of Russian History and Archaeology, Samara State University of Social Sciences and Education, Samara, Russia
| | - Alexey A Tishkin
- Department of Archaeology, Ethnography and Museology, Altai State University, Barnaul, Russia
| | - Patrick Wincker
- Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Université d'Évry, Université Paris-Saclay, Évry, France
| | - Katherine Kanne
- Department of Archaeology and History, University of Exeter, Exeter, UK
- School of Archaeology, University College Dublin, Dublin, Ireland
| | - Alan Outram
- Department of Archaeology and History, University of Exeter, Exeter, UK
| | - Ludovic Orlando
- Centre d'Anthropobiologie et de Génomique de Toulouse, CNRS UMR 5288, Université Paul Sabatier, Faculté de Médecine Purpan, Toulouse, France.
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10
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Daron J, Bouafou L, Tennessen JA, Rahola N, Makanga B, Akone-Ella O, Ngangue MF, Longo Pendy NM, Paupy C, Neafsey DE, Fontaine MC, Ayala D. Genomic Signatures of Microgeographic Adaptation in Anopheles coluzzii Along an Anthropogenic Gradient in Gabon. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.16.594472. [PMID: 38798379 PMCID: PMC11118577 DOI: 10.1101/2024.05.16.594472] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
Species distributed across heterogeneous environments often evolve locally adapted populations, but understanding how these persist in the presence of homogenizing gene flow remains puzzling. In Gabon, Anopheles coluzzii, a major African malaria mosquito is found along an ecological gradient, including a sylvatic population, away of any human presence. This study identifies into the genomic signatures of local adaptation in populations from distinct environments including the urban area of Libreville, and two proximate sites 10km apart in the La Lopé National Park (LLP), a village and its sylvatic neighborhood. Whole genome re-sequencing of 96 mosquitoes unveiled ∼ 5.7millions high-quality single nucleotide polymorphisms. Coalescent-based demographic analyses suggest an ∼ 8,000-year-old divergence between Libreville and La Lopé populations, followed by a secondary contact ( ∼ 4,000 ybp) resulting in asymmetric effective gene flow. The urban population displayed reduced effective size, evidence of inbreeding, and strong selection pressures for adaptation to urban settings, as suggested by the hard selective sweeps associated with genes involved in detoxification and insecticide resistance. In contrast, the two geographically proximate LLP populations showed larger effective sizes, and distinctive genomic differences in selective signals, notably soft-selective sweeps on the standing genetic variation. Although neutral loci and chromosomal inversions failed to discriminate between LLP populations, our findings support that microgeographic adaptation can swiftly emerge through selection on standing genetic variation despite high gene flow. This study contributes to the growing understanding of evolution of populations in heterogeneous environments amid ongoing gene flow and how major malaria mosquitoes adapt to human. Significance Anopheles coluzzii , a major African malaria vector, thrives from humid rainforests to dry savannahs and coastal areas. This ecological success is linked to its close association with domestic settings, with human playing significant roles in driving the recent urban evolution of this mosquito. Our research explores the assumption that these mosquitoes are strictly dependent on human habitats, by conducting whole-genome sequencing on An. coluzzii specimens from urban, rural, and sylvatic sites in Gabon. We found that urban mosquitoes show de novo genetic signatures of human-driven vector control, while rural and sylvatic mosquitoes exhibit distinctive genetic evidence of local adaptations derived from standing genetic variation. Understanding adaptation mechanisms of this mosquito is therefore crucial to predict evolution of vector control strategies.
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11
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Dalapicolla J, Weir JT, Vilaça ST, Quaresma TF, Schneider MPC, Vasconcelos ATR, Aleixo A. Whole genomes show contrasting trends of population size changes and genomic diversity for an Amazonian endemic passerine over the late quaternary. Ecol Evol 2024; 14:e11250. [PMID: 38660467 PMCID: PMC11040105 DOI: 10.1002/ece3.11250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 03/16/2024] [Accepted: 03/25/2024] [Indexed: 04/26/2024] Open
Abstract
The "Amazon tipping point" is a global change scenario resulting in replacement of upland terra-firme forests by large-scale "savannization" of mostly southern and eastern Amazon. Reduced rainfall accompanying the Last Glacial Maximum (LGM) has been proposed to have acted as such a tipping point in the past, with the prediction that terra-firme inhabiting species should have experienced reductions in population size as drier habitats expanded. Here, we use whole-genomes of an Amazonian endemic organism (Scale-backed antbirds - Willisornis spp.) sampled from nine populations across the region to test this historical demography scenario. Populations from southeastern Amazonia and close to the Amazon-Cerrado ecotone exhibited a wide range of demographic patterns, while most of those from northern and western Amazonia experienced uniform expansions between 400 kya and 80-60 kya, with gradual declines toward 20 kya. Southeastern populations of Willisornis were the last to diversify and showed smaller heterozygosity and higher runs of homozygosity values than western and northern populations. These patterns support historical population declines throughout the Amazon that affected more strongly lineages in the southern and eastern areas, where historical "tipping point" conditions existed due to the widespread replacement of humid forest by drier and open vegetation during the LGM.
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Affiliation(s)
- Jeronymo Dalapicolla
- Instituto Tecnológico ValeBelémParáBrazil
- Departamento de Sistemática e EcologiaUniversidade Federal da Paraíba, João PessoaParaíbaBrazil
| | - Jason T. Weir
- Department of Biological SciencesUniversity of Toronto ScarboroughTorontoOntarioCanada
- Department of Ecology and Evolutionary BiologyUniversity of TorontoTorontoOntarioCanada
- Department of Natural History, Royal Ontario MuseumTorontoOntarioCanada
| | | | | | - Maria P. C. Schneider
- Laboratório de Genômica e BiotecnologiaInstituto de Ciências Biológicas, UFPABelémBrazil
| | - Ana Tereza R. Vasconcelos
- Laboratório de BioinformáticaLaboratório Nacional de Computação Científica, PetrópolisRio de JaneiroBrazil
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12
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Silcocks M, Farlow A, Hermes A, Tsambos G, Patel HR, Huebner S, Baynam G, Jenkins MR, Vukcevic D, Easteal S, Leslie S. Indigenous Australian genomes show deep structure and rich novel variation. Nature 2023; 624:593-601. [PMID: 38093005 PMCID: PMC10733150 DOI: 10.1038/s41586-023-06831-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 11/03/2023] [Indexed: 12/20/2023]
Abstract
The Indigenous peoples of Australia have a rich linguistic and cultural history. How this relates to genetic diversity remains largely unknown because of their limited engagement with genomic studies. Here we analyse the genomes of 159 individuals from four remote Indigenous communities, including people who speak a language (Tiwi) not from the most widespread family (Pama-Nyungan). This large collection of Indigenous Australian genomes was made possible by careful community engagement and consultation. We observe exceptionally strong population structure across Australia, driven by divergence times between communities of 26,000-35,000 years ago and long-term low but stable effective population sizes. This demographic history, including early divergence from Papua New Guinean (47,000 years ago) and Eurasian groups1, has generated the highest proportion of previously undescribed genetic variation seen outside Africa and the most extended homozygosity compared with global samples. A substantial proportion of this variation is not observed in global reference panels or clinical datasets, and variation with predicted functional consequence is more likely to be homozygous than in other populations, with consequent implications for medical genomics2. Our results show that Indigenous Australians are not a single homogeneous genetic group and their genetic relationship with the peoples of New Guinea is not uniform. These patterns imply that the full breadth of Indigenous Australian genetic diversity remains uncharacterized, potentially limiting genomic medicine and equitable healthcare for Indigenous Australians.
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Affiliation(s)
- Matthew Silcocks
- National Centre for Indigenous Genomics, John Curtin School of Medical Research, Australian National University, Canberra, Australian Capital Territory, Australia
- University of Melbourne, School of Biosciences, Parkville, Victoria, Australia
| | - Ashley Farlow
- National Centre for Indigenous Genomics, John Curtin School of Medical Research, Australian National University, Canberra, Australian Capital Territory, Australia
- University of Melbourne, School of Mathematics and Statistics, Parkville, Victoria, Australia
| | - Azure Hermes
- National Centre for Indigenous Genomics, John Curtin School of Medical Research, Australian National University, Canberra, Australian Capital Territory, Australia
| | - Georgia Tsambos
- University of Melbourne, School of Mathematics and Statistics, Parkville, Victoria, Australia
| | - Hardip R Patel
- National Centre for Indigenous Genomics, John Curtin School of Medical Research, Australian National University, Canberra, Australian Capital Territory, Australia
| | - Sharon Huebner
- National Centre for Indigenous Genomics, John Curtin School of Medical Research, Australian National University, Canberra, Australian Capital Territory, Australia
| | - Gareth Baynam
- National Centre for Indigenous Genomics, John Curtin School of Medical Research, Australian National University, Canberra, Australian Capital Territory, Australia
- Faculty of Health and Medical Sciences, Division of Paediatrics and Telethon Kids Institute, University of Western Australia, Perth, Western Australia, Australia
- Western Australian Register of Developmental Anomalies, King Edward Memorial Hospital and Rare Care Centre, Perth Children's Hospital, Perth, Western Australia, Australia
| | - Misty R Jenkins
- National Centre for Indigenous Genomics, John Curtin School of Medical Research, Australian National University, Canberra, Australian Capital Territory, Australia
- Immunology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
- University of Melbourne, Department of Medical Biology, Parkville, Victoria, Australia
| | - Damjan Vukcevic
- University of Melbourne, School of Mathematics and Statistics, Parkville, Victoria, Australia
| | - Simon Easteal
- National Centre for Indigenous Genomics, John Curtin School of Medical Research, Australian National University, Canberra, Australian Capital Territory, Australia
| | - Stephen Leslie
- National Centre for Indigenous Genomics, John Curtin School of Medical Research, Australian National University, Canberra, Australian Capital Territory, Australia.
- University of Melbourne, School of Biosciences, Parkville, Victoria, Australia.
- University of Melbourne, School of Mathematics and Statistics, Parkville, Victoria, Australia.
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13
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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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14
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Sohail M, Palma-Martínez MJ, Chong AY, Quinto-Cortés CD, Barberena-Jonas C, Medina-Muñoz SG, Ragsdale A, Delgado-Sánchez G, Cruz-Hervert LP, Ferreyra-Reyes L, Ferreira-Guerrero E, Mongua-Rodríguez N, Canizales-Quintero S, Jimenez-Kaufmann A, Moreno-Macías H, Aguilar-Salinas CA, Auckland K, Cortés A, Acuña-Alonzo V, Gignoux CR, Wojcik GL, Ioannidis AG, Fernández-Valverde SL, Hill AVS, Tusié-Luna MT, Mentzer AJ, Novembre J, García-García L, Moreno-Estrada A. Mexican Biobank advances population and medical genomics of diverse ancestries. Nature 2023; 622:775-783. [PMID: 37821706 PMCID: PMC10600006 DOI: 10.1038/s41586-023-06560-0] [Citation(s) in RCA: 35] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Accepted: 08/22/2023] [Indexed: 10/13/2023]
Abstract
Latin America continues to be severely underrepresented in genomics research, and fine-scale genetic histories and complex trait architectures remain hidden owing to insufficient data1. To fill this gap, the Mexican Biobank project genotyped 6,057 individuals from 898 rural and urban localities across all 32 states in Mexico at a resolution of 1.8 million genome-wide markers with linked complex trait and disease information creating a valuable nationwide genotype-phenotype database. Here, using ancestry deconvolution and inference of identity-by-descent segments, we inferred ancestral population sizes across Mesoamerican regions over time, unravelling Indigenous, colonial and postcolonial demographic dynamics2-6. We observed variation in runs of homozygosity among genomic regions with different ancestries reflecting distinct demographic histories and, in turn, different distributions of rare deleterious variants. We conducted genome-wide association studies (GWAS) for 22 complex traits and found that several traits are better predicted using the Mexican Biobank GWAS compared to the UK Biobank GWAS7,8. We identified genetic and environmental factors associating with trait variation, such as the length of the genome in runs of homozygosity as a predictor for body mass index, triglycerides, glucose and height. This study provides insights into the genetic histories of individuals in Mexico and dissects their complex trait architectures, both crucial for making precision and preventive medicine initiatives accessible worldwide.
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Affiliation(s)
- Mashaal Sohail
- Unidad de Genómica Avanzada (UGA-LANGEBIO), Centro de Investigación y Estudios Avanzados del IPN (Cinvestav), Irapuato, Mexico.
- Department of Human Genetics, University of Chicago, Chicago, IL, USA.
- Centro de Ciencias Genómicas (CCG), Universidad Nacional Autónoma de México (UNAM), Cuernavaca, Mexico.
| | - María J Palma-Martínez
- Unidad de Genómica Avanzada (UGA-LANGEBIO), Centro de Investigación y Estudios Avanzados del IPN (Cinvestav), Irapuato, Mexico
| | - Amanda Y Chong
- The Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Consuelo D Quinto-Cortés
- Unidad de Genómica Avanzada (UGA-LANGEBIO), Centro de Investigación y Estudios Avanzados del IPN (Cinvestav), Irapuato, Mexico
| | - Carmina Barberena-Jonas
- Unidad de Genómica Avanzada (UGA-LANGEBIO), Centro de Investigación y Estudios Avanzados del IPN (Cinvestav), Irapuato, Mexico
| | - Santiago G Medina-Muñoz
- Unidad de Genómica Avanzada (UGA-LANGEBIO), Centro de Investigación y Estudios Avanzados del IPN (Cinvestav), Irapuato, Mexico
| | - Aaron Ragsdale
- Unidad de Genómica Avanzada (UGA-LANGEBIO), Centro de Investigación y Estudios Avanzados del IPN (Cinvestav), Irapuato, Mexico
- Department of Integrative Biology, University of Wisconsin-Madison, Madison, WI, USA
| | | | - Luis Pablo Cruz-Hervert
- Instituto Nacional de Salud Pública (INSP), Cuernavaca, Mexico
- División de Estudios de Posgrado e Investigación, Facultad de Odontología, Universidad Nacional Autónoma de México (UNAM), Mexico City, Mexico
| | | | | | | | | | - Andrés Jimenez-Kaufmann
- Unidad de Genómica Avanzada (UGA-LANGEBIO), Centro de Investigación y Estudios Avanzados del IPN (Cinvestav), Irapuato, Mexico
| | - Hortensia Moreno-Macías
- Unidad de Biología Molecular y Medicina Genómica, Instituto de Investigaciones Biomédicas UNAM/Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
- Universidad Autónoma Metropolitana, Mexico City, Mexico
| | - Carlos A Aguilar-Salinas
- Division de Nutrición, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Kathryn Auckland
- The Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Adrián Cortés
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK
| | | | - Christopher R Gignoux
- Colorado Center for Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Genevieve L Wojcik
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | | | - Selene L Fernández-Valverde
- Unidad de Genómica Avanzada (UGA-LANGEBIO), Centro de Investigación y Estudios Avanzados del IPN (Cinvestav), Irapuato, Mexico
- School of Biotechnology and Biomolecular Sciences and the RNA Institute, The University of New South Wales, Sydney, New South Wales, Australia
| | - Adrian V S Hill
- The Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- The Jenner Institute, University of Oxford, Oxford, UK
| | - María Teresa Tusié-Luna
- Unidad de Biología Molecular y Medicina Genómica, Instituto de Investigaciones Biomédicas UNAM/Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Alexander J Mentzer
- The Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK.
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.
| | - John Novembre
- Department of Human Genetics, University of Chicago, Chicago, IL, USA
- Department of Ecology and Evolution, University of Chicago, Chicago, IL, USA
| | | | - Andrés Moreno-Estrada
- Unidad de Genómica Avanzada (UGA-LANGEBIO), Centro de Investigación y Estudios Avanzados del IPN (Cinvestav), Irapuato, Mexico.
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15
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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: 6] [Impact Index Per Article: 3.0] [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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16
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Changmai P, Phongbunchoo Y, Kočí J, Flegontov P. Reanalyzing the genetic history of Kra-Dai speakers from Thailand and new insights into their genetic interactions beyond Mainland Southeast Asia. Sci Rep 2023; 13:8371. [PMID: 37225753 DOI: 10.1038/s41598-023-35507-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 05/19/2023] [Indexed: 05/26/2023] Open
Abstract
Thailand is a country where over 60 languages from five language families (Austroasiatic, Austronesian, Hmong-Mien, Kra-Dai, and Sino-Tibetan) are spoken. The Kra-Dai language family is the most prevalent, and Thai, the official language of the country, belongs to it. Previous genome-wide studies on Thailand populations revealed a complex population structure and put some hypotheses forward concerning the population history of the country. However, many published populations have not been co-analyzed, and some aspects of population history were not explored adequately. In this study, we employ new methods to re-analyze published genome-wide genetic data on Thailand populations, with a focus on 14 Kra-Dai-speaking groups. Our analyses reveal South Asian ancestry in Kra-Dai-speaking Lao Isan and Khonmueang, and in Austroasiatic-speaking Palaung, in contrast to a previous study in which the data were generated. We support the admixture scenario for the formation of Kra-Dai-speaking groups from Thailand who harbor both Austroasiatic-related ancestry and Kra-Dai-related ancestry from outside of Thailand. We also provide evidence of bidirectional admixture between Southern Thai and Nayu, an Austronesian-speaking group from Southern Thailand. Challenging some previously reported genetic analyses, we reveal a close genetic relationship between Nayu and Austronesian-speaking groups from Island Southeast Asia (ISEA).
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Affiliation(s)
- Piya Changmai
- Department of Biology and Ecology, Faculty of Science, University of Ostrava, Ostrava, Czech Republic.
| | - Yutthaphong Phongbunchoo
- Department of Biology and Ecology, Faculty of Science, University of Ostrava, Ostrava, Czech Republic
| | - Jan Kočí
- Department of Biology and Ecology, Faculty of Science, University of Ostrava, Ostrava, Czech Republic
| | - Pavel Flegontov
- Department of Biology and Ecology, Faculty of Science, University of Ostrava, Ostrava, Czech Republic.
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA.
- Kalmyk Research Center of the Russian Academy of Sciences, Elista, Kalmykia, Russia.
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17
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Aqil A, Gill S, Gokcumen O, Malhi RS, Reese EA, Smith JL, Heaton TT, Lindqvist C. A paleogenome from a Holocene individual supports genetic continuity in Southeast Alaska. iScience 2023; 26:106581. [PMID: 37138779 PMCID: PMC10149335 DOI: 10.1016/j.isci.2023.106581] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 02/27/2023] [Accepted: 04/03/2023] [Indexed: 05/05/2023] Open
Abstract
Many specifics of the population histories of the Indigenous peoples of North America remain contentious owing to a dearth of physical evidence. Only few ancient human genomes have been recovered from the Pacific Northwest Coast, a region increasingly supported as a coastal migration route for the initial peopling of the Americas. Here, we report paleogenomic data from the remains of a ∼3,000-year-old female individual from Southeast Alaska, named Tatóok yík yées sháawat (TYYS). Our results demonstrate at least 3,000 years of matrilineal genetic continuity in Southeast Alaska, and that TYYS is most closely related to ancient and present-day northern Pacific Northwest Coast Indigenous Americans. We find no evidence of Paleo-Inuit (represented by Saqqaq) ancestry in present-day or ancient Pacific Northwest peoples. Instead, our analyses suggest the Saqqaq genome harbors Northern Native American ancestry. This study sheds further light on the human population history of the northern Pacific Northwest Coast.
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Affiliation(s)
- Alber Aqil
- Department of Biological Sciences, University at Buffalo, Buffalo, NY 14260, USA
| | - Stephanie Gill
- Department of Biological Sciences, University at Buffalo, Buffalo, NY 14260, USA
| | - Omer Gokcumen
- Department of Biological Sciences, University at Buffalo, Buffalo, NY 14260, USA
| | - Ripan S. Malhi
- Department of Anthropology and Carl R. Woese Institute for Genomic Biology, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA
| | | | - Jane L. Smith
- USDA-Forest Service, Tongass National Forest, Petersburg, AK 99833, USA
| | - Timothy T. Heaton
- Department of Earth Sciences, University of South Dakota, Vermillion, SD 57069, USA
| | - Charlotte Lindqvist
- Department of Biological Sciences, University at Buffalo, Buffalo, NY 14260, USA
- Corresponding author
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18
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Vilaça ST, Donaldson ME, Benazzo A, Wheeldon TJ, Vizzari MT, Bertorelle G, Patterson BR, Kyle CJ. Tracing Eastern Wolf Origins From Whole-Genome Data in Context of Extensive Hybridization. Mol Biol Evol 2023; 40:msad055. [PMID: 37046402 PMCID: PMC10098045 DOI: 10.1093/molbev/msad055] [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] [Indexed: 04/14/2023] Open
Abstract
Southeastern Canada is inhabited by an amalgam of hybridizing wolf-like canids, raising fundamental questions regarding their taxonomy, origins, and timing of hybridization events. Eastern wolves (Canis lycaon), specifically, have been the subject of significant controversy, being viewed as either a distinct taxonomic entity of conservation concern or a recent hybrid of coyotes (C. latrans) and grey wolves (C. lupus). Mitochondrial DNA analyses show some evidence of eastern wolves being North American evolved canids. In contrast, nuclear genome studies indicate eastern wolves are best described as a hybrid entity, but with unclear timing of hybridization events. To test hypotheses related to these competing findings we sequenced whole genomes of 25 individuals, representative of extant Canadian wolf-like canid types of known origin and levels of contemporary hybridization. Here we present data describing eastern wolves as a distinct taxonomic entity that evolved separately from grey wolves for the past ∼67,000 years with an admixture event with coyotes ∼37,000 years ago. We show that Great Lakes wolves originated as a product of admixture between grey wolves and eastern wolves after the last glaciation (∼8,000 years ago) while eastern coyotes originated as a product of admixture between "western" coyotes and eastern wolves during the last century. Eastern wolf nuclear genomes appear shaped by historical and contemporary gene flow with grey wolves and coyotes, yet evolutionary uniqueness remains among eastern wolves currently inhabiting a restricted range in southeastern Canada.
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Affiliation(s)
- Sibelle T Vilaça
- Environmental and Life Sciences Graduate Program, Trent University, Ontario, Canada
- Department of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy
| | - Michael E Donaldson
- Environmental and Life Sciences Graduate Program, Trent University, Ontario, Canada
| | - Andrea Benazzo
- Department of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy
| | - Tyler J Wheeldon
- Ontario Ministry of Natural Resources and Forestry, Wildlife Research and Monitoring Section, Trent University, Ontario, Canada
| | - Maria Teresa Vizzari
- Department of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy
| | - Giorgio Bertorelle
- Department of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy
| | - Brent R Patterson
- Ontario Ministry of Natural Resources and Forestry, Wildlife Research and Monitoring Section, Trent University, Ontario, Canada
| | - Christopher J Kyle
- Environmental and Life Sciences Graduate Program, Trent University, Ontario, Canada
- Forensic Science Department, Trent University, Ontario, Canada
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