1
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Gelabert P, Bickle P, Hofmann D, Teschler-Nicola M, Anders A, Huang X, Hämmerle M, Olalde I, Fournier R, Ringbauer H, Akbari A, Cheronet O, Lazaridis I, Broomandkhoshbacht N, Fernandes DM, Buttinger K, Callan K, Candilio F, Bravo Morante G, Curtis E, Ferry M, Keating D, Freilich S, Kearns A, Harney É, Lawson AM, Mandl K, Michel M, Oberreiter V, Zagorc B, Oppenheimer J, Sawyer S, Schattke C, Özdoğan KT, Qiu L, Workman JN, Zalzala F, Mallick S, Mah M, Micco A, Pieler F, Pavuk J, Šefčáková A, Lazar C, Starović A, Djuric M, Krznarić Škrivanko M, Šlaus M, Bedić Ž, Novotny F, D Szabó L, Cserpák-Laczi O, Hága T, Szolnoki L, Hajdú Z, Mirea P, Nagy EG, Virág ZM, Horváth M A, Horváth LA, T Biró K, Domboróczki L, Szeniczey T, Jakucs J, Szelekovszky M, Zoltán F, Sztáncsuj SJ, Tóth K, Csengeri P, Pap I, Patay R, Putica A, Vasov B, Havasi B, Sebők K, Raczky P, Lovász G, Tvrdý Z, Rohland N, Novak M, Ruttkay M, Krošláková M, Bátora J, Paluch T, Borić D, Dani J, Kuhlwilm M, Palamara PF, Hajdu T, Pinhasi R, Reich D. Social and genetic diversity in first farmers of central Europe. Nat Hum Behav 2024:10.1038/s41562-024-02034-z. [PMID: 39613963 DOI: 10.1038/s41562-024-02034-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Accepted: 09/26/2024] [Indexed: 12/01/2024]
Abstract
The Linearbandkeramik (LBK) Neolithic communities were the first to spread farming across large parts of Europe. We report genome-wide data for 250 individuals: 178 individuals from whole-cemetery surveys of the Alföld Linearbankeramik Culture eastern LBK site of Polgár-Ferenci-hát, the western LBK site of Nitra Horné Krškany and the western LBK settlement and massacre site of Asparn-Schletz, as well as 48 LBK individuals from 16 other sites and 24 earlier Körös and Starčevo individuals from 17 more sites. Here we show a systematically higher percentage of western hunter-gatherer ancestry in eastern than in western LBK sites, showing that these two distinct LBK groups had different genetic trajectories. We find evidence for patrilocality, with more structure across sites in the male than in the female lines and a higher rate of within-site relatives for males. At Asparn-Schletz we find almost no relatives, showing that the massacred individuals were from a large population, not a small community.
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Affiliation(s)
- Pere Gelabert
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria.
- Human Evolution and Archaeological Sciences, University of Vienna, Vienna, Austria.
| | - Penny Bickle
- Department of Archaeology, University of York, York, UK
| | | | - Maria Teschler-Nicola
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria
- Department of Anthropology, Natural History Museum Vienna, Vienna, Austria
| | - Alexandra Anders
- Institute of Archaeological Sciences, Eötvös Loránd University, Budapest, Hungary
| | - Xin Huang
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria
- Human Evolution and Archaeological Sciences, University of Vienna, Vienna, Austria
| | - Michelle Hämmerle
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria
- Human Evolution and Archaeological Sciences, University of Vienna, Vienna, Austria
| | - Iñigo Olalde
- BIOMICs Research Group, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Ikerbasque-Basque Foundation of Science, Bilbao, Spain
| | | | - Harald Ringbauer
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Ali Akbari
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Olivia Cheronet
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria
- Human Evolution and Archaeological Sciences, University of Vienna, Vienna, Austria
| | - Iosif Lazaridis
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Nasreen Broomandkhoshbacht
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Boston, MA, USA
| | - Daniel M Fernandes
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria
- Human Evolution and Archaeological Sciences, University of Vienna, Vienna, Austria
- CIAS, Department of Life Sciences, University of Coimbra, Coimbra, Portugal
| | - Katharina Buttinger
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria
| | - Kim Callan
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Boston, MA, USA
| | | | | | - Elizabeth Curtis
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Boston, MA, USA
| | - Matthew Ferry
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Boston, MA, USA
| | - Denise Keating
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria
| | - Suzanne Freilich
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria
| | - Aisling Kearns
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Éadaoin Harney
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Ann Marie Lawson
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Boston, MA, USA
| | - Kirsten Mandl
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria
| | - Megan Michel
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Boston, MA, USA
| | - Victoria Oberreiter
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria
- Human Evolution and Archaeological Sciences, University of Vienna, Vienna, Austria
| | - Brina Zagorc
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria
- Human Evolution and Archaeological Sciences, University of Vienna, Vienna, Austria
| | - Jonas Oppenheimer
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Boston, MA, USA
| | - Susanna Sawyer
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria
- Human Evolution and Archaeological Sciences, University of Vienna, Vienna, Austria
| | - Constanze Schattke
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria
| | | | - Lijun Qiu
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Boston, MA, USA
| | - J Noah Workman
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Fatma Zalzala
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Boston, MA, USA
| | - Swapan Mallick
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Boston, MA, USA
| | - Matthew Mah
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Boston, MA, USA
| | - Adam Micco
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Boston, MA, USA
| | - Franz Pieler
- Collection of Prehistory and Historical Archaeology, State Collections of Lower Austria, Asparn an der Zaya, Austria
| | - Juraj Pavuk
- Institute of Archaeology, Slovak Academy of Sciences, Nitra, Slovakia
| | - Alena Šefčáková
- Department of Anthropology, Slovak National Museum-Natural History Museum, Bratislava, Slovak Republic
| | - Catalin Lazar
- Research Institute of the University of Bucharest, University of Bucharest, Bucharest, Romania
| | | | - Marija Djuric
- Faculty of Medicine, Center of Bone Biology, University of Belgrade, Belgrade, Serbia
| | | | - Mario Šlaus
- Anthropological Center, Croatian Academy of Sciences and Arts, Zagreb, Croatia
| | - Željka Bedić
- Centre for Applied Bioanthropology, Institute for Anthropological Research, Zagreb, Croatia
| | - Friederike Novotny
- Department of Anthropology, Natural History Museum Vienna, Vienna, Austria
| | | | | | | | | | | | - Pavel Mirea
- Teleorman County Museum, Alexandria, Romania
| | | | - Zsuzsanna M Virág
- Department for Prehistory and Migration Period, Budapest History Museum, Budapest, Hungary
| | - Attila Horváth M
- Department for Prehistory and Migration Period, Budapest History Museum, Budapest, Hungary
| | - László András Horváth
- Department for Prehistory and Migration Period, Budapest History Museum, Budapest, Hungary
| | | | | | - Tamás Szeniczey
- Department of Biological Anthropology, Institute of Biology, Faculty of Science, Eötvös Loránd University, Budapest, Hungary
| | - János Jakucs
- HUN-REN Research Centre for the Humanities, Institute of Archaeology, Budapest, Hungary
| | | | | | | | | | | | - Ildikó Pap
- Department of Biological Anthropology, Institute of Biology, Faculty of Science, Eötvös Loránd University, Budapest, Hungary
- Department of Biological Anthropology, Faculty of Science and Informatics, University of Szeged, Szeged, Hungary
| | | | | | - Branislav Vasov
- Museum Unit of Public Library 'Branko Radičević', Odžaci, Serbia
| | | | - Katalin Sebők
- Institute of Archaeological Sciences, Eötvös Loránd University, Budapest, Hungary
| | - Pál Raczky
- Institute of Archaeological Sciences, Eötvös Loránd University, Budapest, Hungary
| | | | - Zdeněk Tvrdý
- Anthropos Institute, Moravian Museum, Brno, Czechia
| | - Nadin Rohland
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Mario Novak
- Centre for Applied Bioanthropology, Institute for Anthropological Research, Zagreb, Croatia
| | - Matej Ruttkay
- Institute of Archaeology, Slovak Academy of Sciences, Nitra, Slovakia
| | - Maria Krošláková
- Institute of Archaeology, Slovak Academy of Sciences, Nitra, Slovakia
| | - Jozef Bátora
- Institute of Archaeology, Slovak Academy of Sciences, Nitra, Slovakia
| | - Tibor Paluch
- Department of Antiquities and Museum, Ras al Khaimah, United Arab Emirates
| | - Dušan Borić
- Department of Environmental Biology, Sapienza University of Rome, Rome, Italy
- Department of Anthropology, New York University, New York, NY, USA
| | - János Dani
- Déri Museum, Debrecen, Hungary
- Department of Archaeology, Faculty of Arts and Social Sciences, University of Szeged, Szeged, Hungary
| | - Martin Kuhlwilm
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria
- Human Evolution and Archaeological Sciences, University of Vienna, Vienna, Austria
| | - Pier Francesco Palamara
- Department of Statistics, University of Oxford, Oxford, UK
- Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Tamás Hajdu
- Department of Biological Anthropology, Institute of Biology, Faculty of Science, Eötvös Loránd University, Budapest, Hungary
| | - Ron Pinhasi
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria.
- Human Evolution and Archaeological Sciences, University of Vienna, Vienna, Austria.
| | - David Reich
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA.
- Department of Genetics, Harvard Medical School, Boston, MA, USA.
- Howard Hughes Medical Institute, Boston, MA, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
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2
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Pandey D, Harris M, Garud NR, Narasimhan VM. Leveraging ancient DNA to uncover signals of natural selection in Europe lost due to admixture or drift. Nat Commun 2024; 15:9772. [PMID: 39532856 PMCID: PMC11557891 DOI: 10.1038/s41467-024-53852-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Accepted: 10/23/2024] [Indexed: 11/16/2024] Open
Abstract
Large ancient DNA (aDNA) studies offer the chance to examine genomic changes over time, providing direct insights into human evolution. While recent studies have used time-stratified aDNA for selection scans, most focus on single-locus methods. We conducted a multi-locus genotype scan on 708 samples spanning 7000 years of European history. We show that the G12 statistic, originally designed for unphased diploid data, can effectively detect selection in aDNA processed to create 'pseudo-haplotypes'. In simulations and at known positive control loci (e.g., lactase persistence), G12 outperforms the allele frequency-based selection statistic, SweepFinder2, previously used on aDNA. Applying our approach, we identified 14 candidate regions of selection across four time periods, with half the signals detectable only in the earliest period. Our findings suggest that selective events in European prehistory, including from the onset of animal domestication, have been obscured by neutral processes like genetic drift and demographic shifts such as admixture.
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Affiliation(s)
- Devansh Pandey
- Department of Integrative Biology, The University of Texas at Austin, Austin, TX, USA
| | - Mariana Harris
- Department of Computational Medicine, University of California, Los Angeles, CA, USA
| | - Nandita R Garud
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, CA, USA.
- Department of Human Genetics, University of California, Los Angeles, CA, USA.
| | - Vagheesh M Narasimhan
- Department of Integrative Biology, The University of Texas at Austin, Austin, TX, USA.
- Department of Statistics and Data Science, The University of Texas at Austin, Austin, TX, USA.
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3
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Akbari A, Barton AR, Gazal S, Li Z, Kariminejad M, Perry A, Zeng Y, Mittnik A, Patterson N, Mah M, Zhou X, Price AL, Lander ES, Pinhasi R, Rohland N, Mallick S, Reich D. Pervasive findings of directional selection realize the promise of ancient DNA to elucidate human adaptation. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.09.14.613021. [PMID: 39314480 PMCID: PMC11419161 DOI: 10.1101/2024.09.14.613021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 09/25/2024]
Abstract
We present a method for detecting evidence of natural selection in ancient DNA time-series data that leverages an opportunity not utilized in previous scans: testing for a consistent trend in allele frequency change over time. By applying this to 8433 West Eurasians who lived over the past 14000 years and 6510 contemporary people, we find an order of magnitude more genome-wide significant signals than previous studies: 347 independent loci with >99% probability of selection. Previous work showed that classic hard sweeps driving advantageous mutations to fixation have been rare over the broad span of human evolution, but in the last ten millennia, many hundreds of alleles have been affected by strong directional selection. Discoveries include an increase from ~0% to ~20% in 4000 years for the major risk factor for celiac disease at HLA-DQB1; a rise from ~0% to ~8% in 6000 years of blood type B; and fluctuating selection at the TYK2 tuberculosis risk allele rising from ~2% to ~9% from ~5500 to ~3000 years ago before dropping to ~3%. We identify instances of coordinated selection on alleles affecting the same trait, with the polygenic score today predictive of body fat percentage decreasing by around a standard deviation over ten millennia, consistent with the "Thrifty Gene" hypothesis that a genetic predisposition to store energy during food scarcity became disadvantageous after farming. We also identify selection for combinations of alleles that are today associated with lighter skin color, lower risk for schizophrenia and bipolar disease, slower health decline, and increased measures related to cognitive performance (scores on intelligence tests, household income, and years of schooling). These traits are measured in modern industrialized societies, so what phenotypes were adaptive in the past is unclear. We estimate selection coefficients at 9.9 million variants, enabling study of how Darwinian forces couple to allelic effects and shape the genetic architecture of complex traits.
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Affiliation(s)
- Ali Akbari
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Alison R Barton
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Steven Gazal
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Center for Genetic Epidemiology, 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
| | - Zheng Li
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | | | - Annabel Perry
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Yating Zeng
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Biostatistics and Data Science, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Alissa Mittnik
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany
| | - Nick Patterson
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Matthew Mah
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
| | - Xiang Zhou
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Alkes L Price
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Eric S Lander
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Systems Biology, Harvard Medical School, Boston, MA, USA
| | - Ron Pinhasi
- Department of Biology, Massachusetts Institute of Technology (MIT), Cambridge, MA, USA
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria
| | - Nadin Rohland
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
| | - Swapan Mallick
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - David Reich
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
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4
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Primorac D, Šarac J, Havaš Auguštin D, Novokmet N, Bego T, Pinhasi R, Šlaus M, Novak M, Marjanović D. Y Chromosome Story-Ancient Genetic Data as a Supplementary Tool for the Analysis of Modern Croatian Genetic Pool. Genes (Basel) 2024; 15:748. [PMID: 38927684 PMCID: PMC11202852 DOI: 10.3390/genes15060748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2024] [Revised: 05/25/2024] [Accepted: 06/04/2024] [Indexed: 06/28/2024] Open
Abstract
Due to its turbulent demographic history, marked by extensive settlement and gene flow from diverse regions of Eurasia, Southeastern Europe (SEE) has consistently served as a genetic crossroads between East and West and a junction for the migrations that reshaped Europe's population. SEE, including modern Croatian territory, was a crucial passage from the Near East and even more distant regions and human populations in this region, as almost any other European population represents a remarkable genetic mixture. Modern humans have continuously occupied this region since the Upper Paleolithic era, and different (pre)historical events have left a distinctive genetic signature on the historical narrative of this region. Our views of its history have been mostly renewed in the last few decades by extraordinary data obtained from Y-chromosome studies. In recent times, the international research community, bringing together geneticists and archaeologists, has steadily released a growing number of ancient genomes from this region, shedding more light on its complex past population dynamics and shaping the genetic pool in Croatia and this part of Europe.
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Affiliation(s)
- Dragan Primorac
- St. Catherine Specialty Hospital, 10000 Zagreb, Croatia
- Faculty of Dental Medicine and Health, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia
- School of Medicine, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia
- Medical School, University of Split, 21000 Split, Croatia
- Department of Biochemistry & Molecular Biology, The Pennsylvania State University, State College, PA 16802, USA
- The Henry C. Lee College of Criminal Justice and Forensic Sciences, University of New Haven, West Haven, CT 06516, USA
- Regiomed Kliniken, 96450 Coburg, Germany
- Medical School, University of Rijeka, 51000 Rijeka, Croatia
- National Forensic Sciences University, Gandhinagar 382007, India
| | - Jelena Šarac
- Centre for Applied Bioanthropology, Institute for Anthropological Research, Gajeva 32, 10000 Zagreb, Croatia
| | - Dubravka Havaš Auguštin
- Centre for Applied Bioanthropology, Institute for Anthropological Research, Gajeva 32, 10000 Zagreb, Croatia
| | - Natalija Novokmet
- Centre for Applied Bioanthropology, Institute for Anthropological Research, Gajeva 32, 10000 Zagreb, Croatia
| | - Tamer Bego
- Faculty of Pharmacy, University of Sarajevo, 71000 Sarajevo, Bosnia and Herzegovina
| | - Ron Pinhasi
- Department of Evolutionary Anthropology, University of Vienna, 1030 Vienna, Austria
- Human Evolution and Archaeological Sciences (HEAS), University of Vienna, 1030 Vienna, Austria
| | - Mario Šlaus
- Anthropological Center, Croatian Academy of Sciences and Arts, 10000 Zagreb, Croatia
| | - Mario Novak
- Centre for Applied Bioanthropology, Institute for Anthropological Research, Gajeva 32, 10000 Zagreb, Croatia
- Department of Archaeology and Heritage, Faculty of Humanities, University of Primorska, 6000 Koper, Slovenia
| | - Damir Marjanović
- Centre for Applied Bioanthropology, Institute for Anthropological Research, Gajeva 32, 10000 Zagreb, Croatia
- International Burch University, 71000 Sarajevo, Bosnia and Herzegovina
- Faculty of Biotechnology and Drug Development, University of Rijeka, 51000 Rijeka, Croatia
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5
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Caduff M, Eckel R, Leuenberger C, Wegmann D. Accurate Bayesian inference of sex chromosome karyotypes and sex-linked scaffolds from low-depth sequencing data. Mol Ecol Resour 2024; 24:e13913. [PMID: 38173222 DOI: 10.1111/1755-0998.13913] [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: 09/16/2023] [Revised: 11/27/2023] [Accepted: 11/30/2023] [Indexed: 01/05/2024]
Abstract
The identification of sex-linked scaffolds and the genetic sex of individuals, i.e. their sex karyotype, is a fundamental step in population genomic studies. If sex-linked scaffolds are known, single individuals may be sexed based on read counts of next-generation sequencing data. If both sex-linked scaffolds as well as sex karyotypes are unknown, as is often the case for non-model organisms, they have to be jointly inferred. For both cases, current methods rely on arbitrary thresholds, which limits their power for low-depth data. In addition, most current methods are limited to euploid sex karyotypes (XX and XY). Here we develop BeXY, a fully Bayesian method to jointly infer the posterior probabilities for each scaffold to be autosomal, X- or Y-linked and for each individual to be any of the sex karyotypes XX, XY, X0, XXX, XXY, XYY and XXYY. If the sex-linked scaffolds are known, it also identifies autosomal trisomies and estimates the sex karyotype posterior probabilities for single individuals. As we show with downsampling experiments, BeXY has higher power than all existing methods. It accurately infers the sex karyotype of ancient human samples with as few as 20,000 reads and accurately infers sex-linked scaffolds from data sets of just a handful of samples or with highly imbalanced sex ratios, also in the case of low-quality reference assemblies. We illustrate the power of BeXY by applying it to both whole-genome shotgun and target enrichment sequencing data of ancient and modern humans, as well as several non-model organisms.
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Affiliation(s)
- Madleina Caduff
- Department of Biology, University of Fribourg, Fribourg, Switzerland
- Swiss Institute of Bioinformatics, Fribourg, Switzerland
| | - Raphael Eckel
- Department of Biology, University of Fribourg, Fribourg, Switzerland
- Swiss Institute of Bioinformatics, Fribourg, Switzerland
| | - Christoph Leuenberger
- Department of Biology, University of Fribourg, Fribourg, Switzerland
- Swiss Institute of Bioinformatics, Fribourg, Switzerland
| | - Daniel Wegmann
- Department of Biology, University of Fribourg, Fribourg, Switzerland
- Swiss Institute of Bioinformatics, Fribourg, Switzerland
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6
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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: 47] [Impact Index Per Article: 47.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Accepted: 01/31/2024] [Indexed: 02/12/2024] Open
Abstract
More than two hundred papers have reported genome-wide data from ancient humans. While the raw data for the vast majority are fully publicly available testifying to the commitment of the paleogenomics community to open data, formats for both raw data and meta-data differ. There is thus a need for uniform curation and a centralized, version-controlled compendium that researchers can download, analyze, and reference. Since 2019, we have been maintaining the Allen Ancient DNA Resource (AADR), which aims to provide an up-to-date, curated version of the world's published ancient human DNA data, represented at more than a million single nucleotide polymorphisms (SNPs) at which almost all ancient individuals have been assayed. The AADR has gone through six public releases at the time of writing and review of this manuscript, and crossed the threshold of >10,000 individuals with published genome-wide ancient DNA data at the end of 2022. This note is intended as a citable descriptor of the AADR.
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Affiliation(s)
- Swapan Mallick
- Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.
- Howard Hughes Medical Institute, Boston, MA, 02115, USA.
| | - Adam Micco
- Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA
- Howard Hughes Medical Institute, Boston, MA, 02115, USA
| | - Matthew Mah
- Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA
- Howard Hughes Medical Institute, Boston, MA, 02115, USA
| | - Harald Ringbauer
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, 02138, USA
- Max Planck Institute for Evolutionary Anthropology, Leipzig, 04103, Germany
| | - Iosif Lazaridis
- Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, 02138, USA
| | - Iñigo Olalde
- Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA
- BIOMICs Research Group, University of the Basque Country, 01006, Vitoria-Gasteiz, Spain
| | - Nick Patterson
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, 02138, USA
| | - David Reich
- Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.
- Howard Hughes Medical Institute, Boston, MA, 02115, USA.
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, 02138, USA.
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7
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Fournier R, Tsangalidou Z, Reich D, Palamara PF. Haplotype-based inference of recent effective population size in modern and ancient DNA samples. Nat Commun 2023; 14:7945. [PMID: 38040695 PMCID: PMC10692198 DOI: 10.1038/s41467-023-43522-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Accepted: 11/10/2023] [Indexed: 12/03/2023] Open
Abstract
Individuals sharing recent ancestors are likely to co-inherit large identical-by-descent (IBD) genomic regions. The distribution of these IBD segments in a population may be used to reconstruct past demographic events such as effective population size variation, but accurate IBD detection is difficult in ancient DNA data and in underrepresented populations with limited reference data. In this work, we introduce an accurate method for inferring effective population size variation during the past ~2000 years in both modern and ancient DNA data, called HapNe. HapNe infers recent population size fluctuations using either IBD sharing (HapNe-IBD) or linkage disequilibrium (HapNe-LD), which does not require phasing and can be computed in low coverage data, including data sets with heterogeneous sampling times. HapNe shows improved accuracy in a range of simulated demographic scenarios compared to currently available methods for IBD-based and LD-based inference of recent effective population size, while requiring fewer computational resources. We apply HapNe to several modern populations from the 1,000 Genomes Project, the UK Biobank, the Allen Ancient DNA Resource, and recently published samples from Iron Age Britain, detecting multiple instances of recent effective population size variation across these groups.
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Affiliation(s)
| | | | - David Reich
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
| | - Pier Francesco Palamara
- Department of Statistics, University of Oxford, Oxford, UK.
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK.
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Pandey D, Harris M, Garud NR, Narasimhan VM. Understanding natural selection in Holocene Europe using multi-locus genotype identity scans. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.04.24.538113. [PMID: 37163039 PMCID: PMC10168228 DOI: 10.1101/2023.04.24.538113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
Ancient DNA (aDNA) has been a revolutionary technology in understanding human history but has not been used extensively to study natural selection as large sample sizes to study allele frequency changes over time have thus far not been available. Here, we examined a time transect of 708 published samples over the past 7,000 years of European history using multi-locus genotype-based selection scans. As aDNA data is affected by high missingness, ascertainment bias, DNA damage, random allele calling, and is unphased, we first validated our selection scan, G 12 a n c i e n t , on simulated data resembling aDNA under a demographic model that captures broad features of the allele frequency spectrum of European genomes as well as positive controls that have been previously identified and functionally validated in modern European datasets on data from ancient individuals from time periods very close to the present time. We then applied our statistic to the aDNA time transect to detect and resolve the timing of natural selection occurring genome wide and found several candidates of selection across the different time periods that had not been picked up by selection scans using single SNP allele frequency approaches. In addition, enrichment analysis discovered multiple categories of complex traits that might be under adaptation across these periods. Our results demonstrate the utility of applying different types of selection scans to aDNA to uncover putative selection signals at loci in the ancient past that might have been masked in modern samples.
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Affiliation(s)
- Devansh Pandey
- Department of Integrative Biology, The University of Texas at Austin
| | - Mariana Harris
- Department of Computational Medicine, University of California, Los Angeles
| | - Nandita R Garud
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles
- Department of Human Genetics, University of California, Los Angeles
| | - Vagheesh M Narasimhan
- Department of Integrative Biology, The University of Texas at Austin
- Department of Statistics and Data Science, The University of Texas at Austin
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9
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Davy T, Ju D, Mathieson I, Skoglund P. Hunter-gatherer admixture facilitated natural selection in Neolithic European farmers. Curr Biol 2023; 33:1365-1371.e3. [PMID: 36963383 PMCID: PMC10153476 DOI: 10.1016/j.cub.2023.02.049] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 11/17/2022] [Accepted: 02/15/2023] [Indexed: 03/26/2023]
Abstract
Ancient DNA has revealed multiple episodes of admixture in human prehistory during geographic expansions associated with cultural innovations. One important example is the expansion of Neolithic agricultural groups out of the Near East into Europe and their consequent admixture with Mesolithic hunter-gatherers.1,2,3,4 Ancient genomes from this period provide an opportunity to study the role of admixture in providing new genetic variation for selection to act upon, and also to identify genomic regions that resisted hunter-gatherer introgression and may thus have contributed to agricultural adaptations. We used genome-wide DNA from 677 individuals spanning Mesolithic and Neolithic Europe to infer ancestry deviations in the genomes of admixed individuals and to test for natural selection after admixture by testing for deviations from a genome-wide null distribution. We find that the region around the pigmentation-associated gene SLC24A5 shows the greatest overrepresentation of Neolithic local ancestry in the genome (|Z| = 3.46). In contrast, we find the greatest overrepresentation of Mesolithic ancestry across the major histocompatibility complex (MHC; |Z| = 4.21), a major immunity locus, which also shows allele frequency deviations indicative of selection following admixture (p = 1 × 10-56). This could reflect negative frequency-dependent selection on MHC alleles common in Neolithic populations or that Mesolithic alleles were positively selected for and facilitated adaptation in Neolithic populations to pathogens or other environmental factors. Our study extends previous results that highlight immune function and pigmentation as targets of adaptation in more recent populations to selection processes in the Stone Age.
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Affiliation(s)
- Tom Davy
- Ancient Genomics Laboratory, Francis Crick Institute, 1 Midland Road, NW1 1AT London, UK.
| | - Dan Ju
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, 415 Curie Blvd, Philadelphia, PA 19104, USA
| | - Iain Mathieson
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, 415 Curie Blvd, Philadelphia, PA 19104, USA
| | - Pontus Skoglund
- Ancient Genomics Laboratory, Francis Crick Institute, 1 Midland Road, NW1 1AT London, UK.
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Janković I, Balen J, Potrebica H, Ahern JCM, Novak M. Mass violence in Copper Age Europe: The massacre burial site from Potočani, Croatia. AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY 2021; 176:474-485. [PMID: 34418068 DOI: 10.1002/ajpa.24396] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Revised: 07/19/2021] [Accepted: 08/02/2021] [Indexed: 01/04/2023]
Abstract
OBJECTIVES To provide a comprehensive analysis of perimortem cranial injuries found on human remains from the Eneolithic (ca. 4200 BCE) mass grave discovered at Potočani, Croatia, to test if the assemblage is a result of a deliberate violent episode on a massive scale. MATERIALS AND METHODS Standard bioarchaeological analysis, including inventory of the preserved elements, minimum number of individuals, sex determination, age at death, as well as pattern and distribution of trauma, was recorded. RESULTS A minimum of 41 people are present in the sample. Both sexes and almost all age groups are represented, with a prevalence of children and young adults. Four blunt force antemortem injuries are registered in three adult males and one subadult while perimortem injuries are recorded on 13 crania with a total of 28 injuries. The distribution of perimortem injuries is not patterned with age, sex, or siding, and their location is on lateral, posterior, or superior parts of the crania. No "defensive wounds" or other type of injuries are observed on postcranial elements. DISCUSSION The injuries, manner of disposal of the bodies, radiocarbon dates, and other available data strongly suggest that the Potočani sample represents a single episode of execution during which the Potočani people were unable to defend themselves. The Potočani massacre is the oldest such example in southeastern Europe and provides additional evidence that indiscriminate violence on a massive scale is not a product of modern societies.
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Affiliation(s)
- Ivor Janković
- Centre for Applied Bioanthropology, Institute for Anthropological Research, Zagreb, Croatia.,Department of Anthropology, University of Wyoming, Laramie, Wyoming, USA
| | - Jacqueline Balen
- Prehistoric Department, Archaeological Museum in Zagreb, Zagreb, Croatia
| | - Hrvoje Potrebica
- Faculty of Humanities and Social Sciences, University of Zagreb, Zagreb, Croatia
| | - James C M Ahern
- Department of Anthropology, University of Wyoming, Laramie, Wyoming, USA
| | - Mario Novak
- Centre for Applied Bioanthropology, Institute for Anthropological Research, Zagreb, Croatia
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