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Bagnasco G, Marzullo M, Cattaneo C, Biehler-Gomez L, Mazzarelli D, Ricciardi V, Müller W, Coppa A, McLaughlin R, Motta L, Prato O, Schmidt F, Gaveriaux F, Marras GB, Millet MA, Madgwick R, Ballantyne R, Makarewicz CA, Trentacoste A, Reimer P, Mattiangeli V, Bradley DG, Malone C, Esposito C, Breslin EM, Stoddart S. Bioarchaeology aids the cultural understanding of six characters in search of their agency (Tarquinia, ninth-seventh century BC, central Italy). Sci Rep 2024; 14:11895. [PMID: 38806487 PMCID: PMC11133411 DOI: 10.1038/s41598-024-61052-z] [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: 10/20/2023] [Accepted: 04/30/2024] [Indexed: 05/30/2024] Open
Abstract
Etruria contained one of the great early urban civilisations in the Italian peninsula during the first millennium BC, much studied from a cultural, humanities-based, perspective, but relatively little with scientific data, and rarely in combination. We have addressed the unusual location of twenty inhumations found in the sacred heart of the Etruscan city of Tarquinia, focusing on six of these as illustrative, contrasting with the typical contemporary cremations found in cemeteries on the edge of the city. The cultural evidence suggests that the six skeletons were also distinctive in their ritualization and memorialisation. Focusing on the six, as a representative sample, the scientific evidence of osteoarchaeology, isotopic compositions, and ancient DNA has established that these appear to show mobility, diversity and violence through an integrated bioarchaeological approach. The combination of multiple lines of evidence makes major strides towards a deeper understanding of the role of these extraordinary individuals in the life of the early city of Etruria.
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Affiliation(s)
- G Bagnasco
- Dipartimento di Beni Culturali e Ambientali, CRC "Progetto Tarquinia", Università degli Studi di Milano, Milan, Italy.
| | - M Marzullo
- Dipartimento di Beni Culturali e Ambientali, CRC "Progetto Tarquinia", Università degli Studi di Milano, Milan, Italy
| | - C Cattaneo
- LABANOF (Laboratorio di Antropologia e Odontologia Forense), Università degli Studi di Milano, Milan, Italy
| | - L Biehler-Gomez
- LABANOF (Laboratorio di Antropologia e Odontologia Forense), Università degli Studi di Milano, Milan, Italy
| | - D Mazzarelli
- LABANOF (Laboratorio di Antropologia e Odontologia Forense), Università degli Studi di Milano, Milan, Italy
| | - V Ricciardi
- LABANOF (Laboratorio di Antropologia e Odontologia Forense), Università degli Studi di Milano, Milan, Italy
| | - W Müller
- Institute of Geosciences, Goethe University, Frankfurt, Frankfurt am Main, Germany
- Frankfurt Isotope and Element Research Center (FIERCE), Goethe University, Frankfurt, Frankfurt am Main, Germany
| | - A Coppa
- Dipartimento di Storia Antropologia Religioni Arte Spettacolo, Sapienza Università di Roma, Rome, Italy
| | - R McLaughlin
- Hamilton Institute, Maynooth University, Maynooth, Ireland
| | - L Motta
- Department of Classical Studies and Program in the Environment, University of Michigan, Ann Arbor, USA
| | - O Prato
- Institute of Archaeology, UCL University College London, London, UK
| | | | - F Gaveriaux
- Kelsey Museum of Archaeology, University of Michigan, Ann Arbor, USA
| | | | - M A Millet
- School of Earth and Environmental Sciences, Cardiff University, Cardiff, CF10 3AT, UK
| | - R Madgwick
- Cardiff School of History, Archaeology and Religion, Cardiff University, Cardiff, UK
| | - R Ballantyne
- School of Archaeology, University of Oxford, Oxford, UK
- Department of Archaeology, University of Cambridge, Cambridge, UK
| | - C A Makarewicz
- Institut für Ur- und Frühgeschichte, Christian-Albrechts-Universität zu Kiel, Kiel, Germany
| | - A Trentacoste
- Institut für Ur- und Frühgeschichte, Christian-Albrechts-Universität zu Kiel, Kiel, Germany
| | - P Reimer
- School of Natural and Built Environment, Queen's University Belfast, Belfast, BT7 1NN, UK
| | - V Mattiangeli
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin2, Ireland
| | - D G Bradley
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin2, Ireland
| | - C Malone
- School of Natural and Built Environment, Queen's University Belfast, Belfast, BT7 1NN, UK
| | - C Esposito
- Dipartimento di Beni Culturali, Alma Mater Studiorum, Università di Bologna, Ravenna, Italy
| | - E M Breslin
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin2, Ireland
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2
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Borbély N, Dudás D, Tapasztó A, Dudás-Boda E, Csáky V, Szeifert B, Mende BG, Egyed B, Szécsényi-Nagy A, Pamjav H. Phylogenetic insights into the genetic legacies of Hungarian-speaking communities in the Carpathian Basin. Sci Rep 2024; 14:11480. [PMID: 38769390 PMCID: PMC11106325 DOI: 10.1038/s41598-024-61978-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Accepted: 05/13/2024] [Indexed: 05/22/2024] Open
Abstract
This study focuses on exploring the uniparental genetic lineages of Hungarian-speaking minorities residing in rural villages of Baranja (Croatia) and the Zobor region (Slovakia). We aimed to identify ancestral lineages by examining genetic markers distributed across the entire mitogenome and on the Y-chromosome. This allowed us to discern disparities in regional genetic structures within these communities. By integrating our newly acquired genetic data from a total of 168 participants with pre-existing Eurasian and ancient DNA datasets, our goal was to enrich the understanding of the genetic history trajectories of Carpathian Basin populations. Our findings suggest that while population-based analyses may not be sufficiently robust to detect fine-scale uniparental genetic patterns with the sample sizes at hand, phylogenetic analysis of well-characterized Y-chromosomal Short Tandem Repeat (STR) data and entire mitogenome sequences did uncover multiple lineage ties to far-flung regions and eras. While the predominant portions of both paternal and maternal DNA align with the East-Central European spectrum, rarer subhaplogroups and lineages have unveiled ancient ties to both prehistoric and historic populations spanning Europe and Eastern Eurasia. This research augments the expansive field of phylogenetics, offering critical perspectives on the genetic constitution and heritage of the communities in East-Central Europe.
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Affiliation(s)
- Noémi Borbély
- Institute of Archaeogenomics, HUN-REN Research Centre for the Humanities, Tóth Kálmán utca 4, Budapest, 1097, Hungary
- Doctoral School of Biology, Institute of Biology, ELTE Eötvös Loránd University, Pázmány Péter sétány 1/C, Budapest, 1117, Hungary
| | - Dániel Dudás
- Department of Reference Sample Analysis, Institute of Forensic Genetics, Hungarian Institute for Forensic Sciences, Gyorskocsi u. 25, Budapest, 1027, Hungary
| | - Attila Tapasztó
- Department of Reference Sample Analysis, Institute of Forensic Genetics, Hungarian Institute for Forensic Sciences, Gyorskocsi u. 25, Budapest, 1027, Hungary
| | - Eszter Dudás-Boda
- Department of Reference Sample Analysis, Institute of Forensic Genetics, Hungarian Institute for Forensic Sciences, Gyorskocsi u. 25, Budapest, 1027, Hungary
| | - Veronika Csáky
- Institute of Archaeogenomics, HUN-REN Research Centre for the Humanities, Tóth Kálmán utca 4, Budapest, 1097, Hungary
| | - Bea Szeifert
- Institute of Archaeogenomics, HUN-REN Research Centre for the Humanities, Tóth Kálmán utca 4, Budapest, 1097, Hungary
| | - Balázs Gusztáv Mende
- Institute of Archaeogenomics, HUN-REN Research Centre for the Humanities, Tóth Kálmán utca 4, Budapest, 1097, Hungary
| | - Balázs Egyed
- Department of Genetics, ELTE Eötvös Loránd University, Pázmány Péter sétány 1/C, Budapest, 1117, Hungary
| | - Anna Szécsényi-Nagy
- Institute of Archaeogenomics, HUN-REN Research Centre for the Humanities, Tóth Kálmán utca 4, Budapest, 1097, Hungary.
| | - Horolma Pamjav
- Department of Reference Sample Analysis, Institute of Forensic Genetics, Hungarian Institute for Forensic Sciences, Gyorskocsi u. 25, Budapest, 1027, Hungary.
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3
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Fine AG, Steinrücken M. A novel expectation-maximization approach to infer general diploid selection from time-series genetic data. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.10.593575. [PMID: 38798346 PMCID: PMC11118272 DOI: 10.1101/2024.05.10.593575] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
Detecting and quantifying the strength of selection is a main objective in population genetics. Since selection acts over multiple generations, many approaches have been developed to detect and quantify selection using genetic data sampled at multiple points in time. Such time series genetic data is commonly analyzed using Hidden Markov Models, but in most cases, under the assumption of additive selection. However, many examples of genetic variation exhibiting non-additive mechanisms exist, making it critical to develop methods that can characterize selection in more general scenarios. Thus, we extend a previously introduced expectation-maximization algorithm for the inference of additive selection coefficients to the case of general diploid selection, in which heterozygote and homozygote fitnesses are parameterized independently. We furthermore introduce a framework to identify bespoke modes of diploid selection from given data, as well as a procedure for aggregating data across linked loci to increase power and robustness. Using extensive simulation studies, we find that our method accurately and efficiently estimates selection coefficients for different modes of diploid selection across a wide range of scenarios; however, power to classify the mode of selection is low unless selection is very strong. We apply our method to ancient DNA samples from Great Britain in the last 4,450 years, and detect evidence for selection in six genomic regions, including the well-characterized LCT locus. Our work is the first genome-wide scan characterizing signals of general diploid selection.
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Affiliation(s)
- Adam G Fine
- Department of Ecology and Evolution, University of Chicago
- Graduate Program in Biophysical Sciences, University of Chicago
| | - Matthias Steinrücken
- Department of Ecology and Evolution, University of Chicago
- Department of Human Genetics, University of Chicago
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4
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Lazaridis I, Patterson N, Anthony D, Vyazov L, Fournier R, Ringbauer H, Olalde I, Khokhlov AA, Kitov EP, Shishlina NI, Ailincăi SC, Agapov DS, Agapov SA, Batieva E, Bauyrzhan B, Bereczki Z, Buzhilova A, Changmai P, Chizhevsky AA, Ciobanu I, Constantinescu M, Csányi M, Dani J, Dashkovskiy PK, Évinger S, Faifert A, Flegontov PN, Frînculeasa A, Frînculeasa MN, Hajdu T, Higham T, Jarosz P, Jelínek P, Khartanovich VI, Kirginekov EN, Kiss V, Kitova A, Kiyashko AV, Koledin J, Korolev A, Kosintsev P, Kulcsár G, Kuznetsov P, Magomedov R, Malikovich MA, Melis E, Moiseyev V, Molnár E, Monge J, Negrea O, Nikolaeva NA, Novak M, Ochir-Goryaeva M, Pálfi G, Popovici S, Rykun MP, Savenkova TM, Semibratov VP, Seregin NN, Šefčáková A, Serikovna MR, Shingiray I, Shirokov VN, Simalcsik A, Sirak K, Solodovnikov KN, Tárnoki J, Tishkin AA, Trifonov V, Vasilyev S, Akbari A, Brielle ES, Callan K, Candilio F, Cheronet O, Curtis E, Flegontova O, Iliev L, Kearns A, Keating D, Lawson AM, Mah M, Micco A, Michel M, Oppenheimer J, Qiu L, Noah Workman J, Zalzala F, Szécsényi-Nagy A, Palamara PF, Mallick S, Rohland N, Pinhasi R, Reich D. The Genetic Origin of the Indo-Europeans. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.17.589597. [PMID: 38659893 PMCID: PMC11042377 DOI: 10.1101/2024.04.17.589597] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/26/2024]
Abstract
The Yamnaya archaeological complex appeared around 3300BCE across the steppes north of the Black and Caspian Seas, and by 3000BCE reached its maximal extent from Hungary in the west to Kazakhstan in the east. To localize the ancestral and geographical origins of the Yamnaya among the diverse Eneolithic people that preceded them, we studied ancient DNA data from 428 individuals of which 299 are reported for the first time, demonstrating three previously unknown Eneolithic genetic clines. First, a "Caucasus-Lower Volga" (CLV) Cline suffused with Caucasus hunter-gatherer (CHG) ancestry extended between a Caucasus Neolithic southern end in Neolithic Armenia, and a steppe northern end in Berezhnovka in the Lower Volga. Bidirectional gene flow across the CLV cline created admixed intermediate populations in both the north Caucasus, such as the Maikop people, and on the steppe, such as those at the site of Remontnoye north of the Manych depression. CLV people also helped form two major riverine clines by admixing with distinct groups of European hunter-gatherers. A "Volga Cline" was formed as Lower Volga people mixed with upriver populations that had more Eastern hunter-gatherer (EHG) ancestry, creating genetically hyper-variable populations as at Khvalynsk in the Middle Volga. A "Dnipro Cline" was formed as CLV people bearing both Caucasus Neolithic and Lower Volga ancestry moved west and acquired Ukraine Neolithic hunter-gatherer (UNHG) ancestry to establish the population of the Serednii Stih culture from which the direct ancestors of the Yamnaya themselves were formed around 4000BCE. This population grew rapidly after 3750-3350BCE, precipitating the expansion of people of the Yamnaya culture who totally displaced previous groups on the Volga and further east, while admixing with more sedentary groups in the west. CLV cline people with Lower Volga ancestry contributed four fifths of the ancestry of the Yamnaya, but also, entering Anatolia from the east, contributed at least a tenth of the ancestry of Bronze Age Central Anatolians, where the Hittite language, related to the Indo-European languages spread by the Yamnaya, was spoken. We thus propose that the final unity of the speakers of the "Proto-Indo-Anatolian" ancestral language of both Anatolian and Indo-European languages can be traced to CLV cline people sometime between 4400-4000 BCE.
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Affiliation(s)
- Iosif Lazaridis
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Nick Patterson
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - David Anthony
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Hartwick College, Dept. of Anthropology, USA
| | - Leonid Vyazov
- Department of Biology and Ecology, Faculty of Science, University of Ostrava, Ostrava, Czechia
| | | | - Harald Ringbauer
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Iñigo Olalde
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- BIOMICs Research Group, Department of Zoology and Animal Cell Biology, University of the Basque Country UPV/EHU,Vitoria-Gasteiz, Spain
- Ikerbasque-Basque Foundation of Science, Bilbao, Spain
| | | | - Egor P. Kitov
- Center of Human Ecology, Institute of Ethnology and Anthropology, Russian Academy of Science, Moscow, Russia
| | | | | | - Danila S. Agapov
- Samara Regional Public Organization “Historical, ecological and cultural Association “Povolzje”
| | - Sergey A. Agapov
- Samara Regional Public Organization “Historical, ecological and cultural Association “Povolzje”
| | - Elena Batieva
- Azov History, Archaeology and Palaeontology Museum-Reserve, Azov, Russia
| | | | - Zsolt Bereczki
- Department of Biological Anthropology, Institute of Biology, University of Szeged, Szeged, Hungary
| | | | - Piya Changmai
- Department of Biology and Ecology, Faculty of Science, University of Ostrava, Ostrava, Czechia
| | - Andrey A. Chizhevsky
- Institute of Archeology named after A. Kh. Khalikov Tatarstan Academy of Sciences, Kazan, Russia
| | - Ion Ciobanu
- Orheiul Vechi Cultural-Natural Reserve, Institute of Bioarchaeological and Ethnocultural Research, Chișinău, Republic of Moldova
| | - Mihai Constantinescu
- Fr. I Rainer Institute of Anthropology, University of Bucharest, Bucharest, Romania
| | | | - János Dani
- Department of Archaeology, University of Szeged, Szeged, Hungary
- Déri Museum, 4026 Debrecen, Hungary
| | - Peter K. Dashkovskiy
- Department of Regional Studies of Russia, National and State-Confessional Relations, Altai State University, Barnaul, Russia
| | - Sándor Évinger
- Hungarian Natural History Museum, Department of Anthropology, Budapest, Hungary
| | - Anatoly Faifert
- Research Institute GAUK RO “Don Heritage”, Rostov-on-Don, Russia
| | - Pavel N. Flegontov
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Department of Biology and Ecology, Faculty of Science, University of Ostrava, Ostrava, Czechia
- Institute of Parasitology, Biology Centre of the Czech Academy of Sciences, České Budějovice, Czechia
| | - Alin Frînculeasa
- Prahova County Museum of History and Archaeology, Ploiești, Romania
| | - Mădălina N. Frînculeasa
- Department of Geography, Faculty of Humanities, University Valahia of Târgoviște, Târgovişte, Romania
| | - Tamás Hajdu
- Eötvös Loránd University (Department of Biological Anthropology, Institute of Biology, Eötvös Loránd University, Budapest, Hungary
| | - Tom Higham
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria
- Human Evolution and Archaeological Sciences, University of Vienna, Vienna, Austria
| | - Paweł Jarosz
- Department of Mountain and Highland Archaeology, Institute Archaeology and Ethnology Polish Academy of Science, Kraków, Poland
| | - Pavol Jelínek
- Slovak National Museum-Archaeological Museum, Bratislava, Slovak Republic
| | - Valeri I. Khartanovich
- Peter the Great Museum of Anthropology and Ethnography, Department of Physical Anthropology, St. Petersburg, Russia
| | - Eduard N. Kirginekov
- State Autonomous Cultural Institution of the Republic of Khakassia “Khakassian National Museum of Local Lore named after L.R. Kyzlasova”, Republic of Khakassia, Abakan, Russia
| | - Viktória Kiss
- Institute of Archaeology, HUN-REN Research Centre for the Humanities, Budapest, Hungary
| | - Alexandera Kitova
- Centre for Egyptological Studies of the Russian Academy of Sciences, Russian Academy of Sciences, Moscow, Russia
| | - Alexeiy V. Kiyashko
- Department of Archaeology and History of the Ancient World of the Southern Federal University, Rostov-on-Don, Russia
| | | | - Arkady Korolev
- Samara State University of Social Sciences and Education, Samara, Russia
| | - Pavel Kosintsev
- Department of History of the Institute of Humanities, Ural Federal University, Ekaterinburg, Russia
- Institute of Plant and Animal Ecology, Urals Branch of the Russian Academy of Sciences, Yekaterinburg, Russia
| | - Gabriella Kulcsár
- Institute of Archaeology, HUN-REN Research Centre for the Humanities, Budapest, Hungary
| | - Pavel Kuznetsov
- Samara State University of Social Sciences and Education, Samara, Russia
| | - Rabadan Magomedov
- Institute of History, Archaeology and Ethnography, Dagestan branch of the Russian Academy of Science, Makhachkala. Dagestan, Russia
| | | | - Eszter Melis
- Institute of Archaeology, HUN-REN Research Centre for the Humanities, Budapest, Hungary
| | - Vyacheslav Moiseyev
- Peter the Great Museum of Anthropology and Ethnography, Department of Physical Anthropology, St. Petersburg, Russia
| | - Erika Molnár
- Department of Biological Anthropology, Institute of Biology, University of Szeged, Szeged, Hungary
| | - Janet Monge
- Independent Researcher, 106 Federal Street, Philadelphia PA, USA
| | - Octav Negrea
- Prahova County Museum of History and Archaeology, Ploiești, Romania
| | - Nadezhda A. Nikolaeva
- Department of General History, Historical and Literary Institute of the State University of Education, Ministry of Education Moscow, Moscow, Russia
| | - Mario Novak
- Centre for Applied Bioanthropology, Institute for Anthropological Research, Zagreb, Croatia
- Department of Archaeology and Heritage, Faculty of Humanities, University of Primorska, Koper, Slovenia
| | - Maria Ochir-Goryaeva
- Kalmyk Scientific Centre of the Russian Academy of Sciences, Elista, Republic of Kalmykia, Russia
| | - György Pálfi
- Department of Biological Anthropology, Institute of Biology, University of Szeged, Szeged, Hungary
| | - Sergiu Popovici
- National Agency for Archaeology, Chișinău, Republic of Moldova
| | | | | | - Vladimir P. Semibratov
- Department of Archaeology, Ethnography and Museology, Altai State University, Barnaul, Russia
| | - Nikolai N. Seregin
- Laboratory of Ancient and Medieval Archaeology of Eurasia, Altai State University, Barnaul, Russia
| | - Alena Šefčáková
- Slovak National Museum-Natural History Museum, Bratislava, Slovak Republic
| | | | - Irina Shingiray
- University of Oxford, Faculty of History, Oxford, United Kingdom
| | - Vladimir N. Shirokov
- Center for Stone Age Archeology, Institute of History and Archaeology, Ural Branch of the Russian Academy of Sciences, Ekaterinburg, Russia
| | - Angela Simalcsik
- Orheiul Vechi Cultural-Natural Reserve, Institute of Bioarchaeological and Ethnocultural Research, Chișinău, Republic of Moldova
- Olga Necrasov Centre for Anthropological Research, Romanian Academy, Iași Branch, Iași, Romania
| | - Kendra Sirak
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Konstantin N. Solodovnikov
- Tyumen Scientific Center of the Siberian Branch of Russian Academy of Sciences, Institute of Problems of Northern Development, Tyumen, Russia
| | | | - Alexey A. Tishkin
- Department of Archaeology, Ethnography and Museology, Altai State University, Barnaul, Russia
| | - Viktov Trifonov
- Institute for the History of Material Culture, Russian Academy of Sciences, St Petersburg, Russia
| | - Sergey Vasilyev
- Russian Academy of Sciences, Institute of Ethnology and Anthropology, Moscow, Russia
| | - Ali Akbari
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Esther S. Brielle
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
| | - Kim Callan
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
| | | | - Olivia Cheronet
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria
- Human Evolution and Archaeological Sciences, University of Vienna, Vienna, Austria
| | - Elizabeth Curtis
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
| | - Olga Flegontova
- Department of Biology and Ecology, Faculty of Science, University of Ostrava, Ostrava, Czechia
- Institute of Parasitology, Biology Centre of the Czech Academy of Sciences, České Budějovice, Czechia
| | - Lora Iliev
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
| | - Aisling Kearns
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Denise Keating
- School of Archaeology, University College Dublin, Ireland
| | - Ann Marie Lawson
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
| | - Matthew Mah
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
| | - Adam Micco
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Megan Michel
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
| | - Jonas Oppenheimer
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
| | - Lijun Qiu
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
| | - J. Noah Workman
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
| | - Fatma Zalzala
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
| | - Anna Szécsényi-Nagy
- Institute of Archaeogenomics, HUN-REN Research Centre for the Humanities, Budapest, Hungary
| | - Pier Francesco Palamara
- Department of Statistics, University of Oxford, Oxford, UK
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Swapan Mallick
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
| | - Nadin Rohland
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - 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
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
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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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Poyraz L, Colbran LL, Mathieson I. Predicting Functional Consequences of Recent Natural Selection in Britain. Mol Biol Evol 2024; 41:msae053. [PMID: 38466119 PMCID: PMC10962637 DOI: 10.1093/molbev/msae053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 02/02/2024] [Accepted: 03/01/2024] [Indexed: 03/12/2024] Open
Abstract
Ancient DNA can directly reveal the contribution of natural selection to human genomic variation. However, while the analysis of ancient DNA has been successful at identifying genomic signals of selection, inferring the phenotypic consequences of that selection has been more difficult. Most trait-associated variants are noncoding, so we expect that a large proportion of the phenotypic effects of selection will also act through noncoding variation. Since we cannot measure gene expression directly in ancient individuals, we used an approach (Joint-Tissue Imputation [JTI]) developed to predict gene expression from genotype data. We tested for changes in the predicted expression of 17,384 protein coding genes over a time transect of 4,500 years using 91 present-day and 616 ancient individuals from Britain. We identified 28 genes at seven genomic loci with significant (false discovery rate [FDR] < 0.05) changes in predicted expression levels in this time period. We compared the results from our transcriptome-wide scan to a genome-wide scan based on estimating per-single nucleotide polymorphism (SNP) selection coefficients from time series data. At five previously identified loci, our approach allowed us to highlight small numbers of genes with evidence for significant shifts in expression from peaks that in some cases span tens of genes. At two novel loci (SLC44A5 and NUP85), we identify selection on gene expression not captured by scans based on genomic signatures of selection. Finally, we show how classical selection statistics (iHS and SDS) can be combined with JTI models to incorporate functional information into scans that use present-day data alone. These results demonstrate the potential of this type of information to explore both the causes and consequences of natural selection.
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Affiliation(s)
- Lin Poyraz
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Computational Biology, Cornell University, Ithaca, NY, USA
| | - Laura L Colbran
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Iain Mathieson
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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7
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Barouch A, Mathov Y, Meshorer E, Yakir B, Carmel L. Reconstructing DNA methylation maps of ancient populations. Nucleic Acids Res 2024; 52:1602-1612. [PMID: 38261973 PMCID: PMC10939417 DOI: 10.1093/nar/gkad1232] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 12/09/2023] [Accepted: 01/19/2024] [Indexed: 01/25/2024] Open
Abstract
Studying premortem DNA methylation from ancient DNA (aDNA) provides a proxy for ancient gene activity patterns, and hence valuable information on evolutionary changes in gene regulation. Due to statistical limitations, current methods to reconstruct aDNA methylation maps are constrained to high-coverage shotgun samples, which comprise a small minority of available ancient samples. Most samples are sequenced using in-situ hybridization capture sequencing which targets a predefined set of genomic positions. Here, we develop methods to reconstruct aDNA methylation maps of samples that were not sequenced using high-coverage shotgun sequencing, by way of pooling together individuals to obtain a DNA methylation map that is characteristic of a population. We show that the resulting DNA methylation maps capture meaningful biological information and allow for the detection of differential methylation across populations. We offer guidelines on how to carry out comparative studies involving ancient populations, and how to control the rate of falsely discovered differentially methylated regions. The ability to reconstruct DNA methylation maps of past populations allows for the development of a whole new frontier in paleoepigenetic research, tracing DNA methylation changes throughout human history, using data from thousands of ancient samples.
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Affiliation(s)
- Arielle Barouch
- Department of Genetics, The Alexander Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem 9190401, Israel
- School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem 9190401, Israel
| | - Yoav Mathov
- Department of Genetics, The Alexander Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem 9190401, Israel
- Edmond and Lily Safra Center for Brain Sciences (ELSC), The Hebrew University of Jerusalem, Jerusalem 9190401, Israel
| | - Eran Meshorer
- Department of Genetics, The Alexander Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem 9190401, Israel
- Edmond and Lily Safra Center for Brain Sciences (ELSC), The Hebrew University of Jerusalem, Jerusalem 9190401, Israel
| | - Benjamin Yakir
- Department of Statistics and Data Science, The Hebrew University of Jerusalem, Jerusalem 9190500, Israel
| | - Liran Carmel
- Department of Genetics, The Alexander Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem 9190401, Israel
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8
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Simon A, Coop G. The contribution of gene flow, selection, and genetic drift to five thousand years of human allele frequency change. Proc Natl Acad Sci U S A 2024; 121:e2312377121. [PMID: 38363870 PMCID: PMC10907250 DOI: 10.1073/pnas.2312377121] [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: 07/19/2023] [Accepted: 01/09/2024] [Indexed: 02/18/2024] Open
Abstract
Genomic time series from experimental evolution studies and ancient DNA datasets offer us a chance to directly observe the interplay of various evolutionary forces. We show how the genome-wide variance in allele frequency change between two time points can be decomposed into the contributions of gene flow, genetic drift, and linked selection. In closed populations, the contribution of linked selection is identifiable because it creates covariances between time intervals, and genetic drift does not. However, repeated gene flow between populations can also produce directionality in allele frequency change, creating covariances. We show how to accurately separate the fraction of variance in allele frequency change due to admixture and linked selection in a population receiving gene flow. We use two human ancient DNA datasets, spanning around 5,000 y, as time transects to quantify the contributions to the genome-wide variance in allele frequency change. We find that a large fraction of genome-wide change is due to gene flow. In both cases, after correcting for known major gene flow events, we do not observe a signal of genome-wide linked selection. Thus despite the known role of selection in shaping long-term polymorphism levels, and an increasing number of examples of strong selection on single loci and polygenic scores from ancient DNA, it appears to be gene flow and drift, and not selection, that are the main determinants of recent genome-wide allele frequency change. Our approach should be applicable to the growing number of contemporary and ancient temporal population genomics datasets.
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Affiliation(s)
- Alexis Simon
- Center for Population Biology, University of California, Davis, CA95616
- Department of Evolution and Ecology, University of California, Davis, CA95616
| | - Graham Coop
- Center for Population Biology, University of California, Davis, CA95616
- Department of Evolution and Ecology, University of California, Davis, CA95616
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9
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Artioli G, Angelini I, Canovaro C, Kaufmann G, Villa IM. Lead isotopes of prehistoric copper tools define metallurgical phases in Late Neolithic and Eneolithic Italy. Sci Rep 2024; 14:4323. [PMID: 38383590 PMCID: PMC10881475 DOI: 10.1038/s41598-024-54825-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Accepted: 02/16/2024] [Indexed: 02/23/2024] Open
Abstract
The diffuse presence of small copper ore deposits in the Alpine area, mostly exploited since Late Medieval times, led most scholars to assume that these deposits may actually be active much earlier and that many of the circulating prehistoric metal objects found in the area were produced with local copper sources. This assumption was recently validated for the Recent Bronze Age through the use of lead isotope tracers, and well supported by the archaeometallurgical evidences found in the South-Eastern Alps. However, the scarcity of available lead isotope data for pre-Bronze Age metals precluded to date the reconstruction of the metal flow through the Late Neolithic and Eneolithic (or Copper Age). Based on 49 new analyses of important archaeological objects from the Alpine region, the Po River Valley and Central Italy, mostly axes dated from the Late Neolithic to the Late Eneolithic, here we show that the diffusion of copper in Northern Italy (approximately 4500-2200 BC) includes three major periods of metal use and/or production, each related to specific ore sources. The South Alpine copper was massively used only starting from the middle of the 3rd millennium BC, in connection or slightly earlier than the Beaker event.
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Affiliation(s)
- Gilberto Artioli
- Dipartimento di Geoscienze, Università di Padova, via Gradenigo 6, 35131, Padova, Italy.
| | - Ivana Angelini
- Department of Cultural Heritage: Archaeology and History of Art, Cinema and Music, University of Padua, Padova, Italy
| | - Caterina Canovaro
- Dipartimento di Geoscienze, Università di Padova, via Gradenigo 6, 35131, Padova, Italy
| | - Günther Kaufmann
- Museo Archeologico dell'Alto Adige/Südtiroler Archäologiemuseum, Bolzano/Bozen, Italy
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10
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Mallick S, Micco A, Mah M, Ringbauer H, Lazaridis I, Olalde I, Patterson N, Reich D. The Allen Ancient DNA Resource (AADR) a curated compendium of ancient human genomes. Sci Data 2024; 11:182. [PMID: 38341426 PMCID: PMC10858950 DOI: 10.1038/s41597-024-03031-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Accepted: 01/31/2024] [Indexed: 02/12/2024] Open
Abstract
More than two hundred papers have reported genome-wide data from ancient humans. While the raw data for the vast majority are fully publicly available testifying to the commitment of the paleogenomics community to open data, formats for both raw data and meta-data differ. There is thus a need for uniform curation and a centralized, version-controlled compendium that researchers can download, analyze, and reference. Since 2019, we have been maintaining the Allen Ancient DNA Resource (AADR), which aims to provide an up-to-date, curated version of the world's published ancient human DNA data, represented at more than a million single nucleotide polymorphisms (SNPs) at which almost all ancient individuals have been assayed. The AADR has gone through six public releases at the time of writing and review of this manuscript, and crossed the threshold of >10,000 individuals with published genome-wide ancient DNA data at the end of 2022. This note is intended as a citable descriptor of the AADR.
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Affiliation(s)
- Swapan Mallick
- Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.
- Howard Hughes Medical Institute, Boston, MA, 02115, USA.
| | - Adam Micco
- Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA
- Howard Hughes Medical Institute, Boston, MA, 02115, USA
| | - Matthew Mah
- Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA
- Howard Hughes Medical Institute, Boston, MA, 02115, USA
| | - Harald Ringbauer
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, 02138, USA
- Max Planck Institute for Evolutionary Anthropology, Leipzig, 04103, Germany
| | - Iosif Lazaridis
- Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, 02138, USA
| | - Iñigo Olalde
- Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA
- BIOMICs Research Group, University of the Basque Country, 01006, Vitoria-Gasteiz, Spain
| | - Nick Patterson
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, 02138, USA
| | - David Reich
- Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.
- Howard Hughes Medical Institute, Boston, MA, 02115, USA.
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, 02138, USA.
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11
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Piffer D, Kirkegaard EOW. Evolutionary Trends of Polygenic Scores in European Populations From the Paleolithic to Modern Times. Twin Res Hum Genet 2024; 27:30-49. [PMID: 38444325 DOI: 10.1017/thg.2024.8] [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] [Indexed: 03/07/2024]
Abstract
This study examines the temporal and geographical evolution of polygenic scores (PGSs) across cognitive measures (Educational Attainment [EA], Intelligence Quotient [IQ]), Socioeconomic Status (SES), and psychiatric conditions (Autism Spectrum Disorder [ASD], schizophrenia [SCZ]) in various populations. Our findings indicate positive directional selection for EA, IQ, and SES traits over the past 12,000 years. Schizophrenia and autism, while similar, showed different temporal patterns, aligning with theories suggesting they are psychological opposites. We observed a decline in PGS for neuroticism and depression, likely due to their genetic correlations and pleiotropic effects on intelligence. Significant PGS shifts from the Upper Paleolithic to the Neolithic periods suggest lifestyle and cognitive demand changes, particularly during the Neolithic Revolution. The study supports a mild hypothesis of Gregory Clark's model, showing a noticeable rise in genetic propensities for intelligence, academic achievement and professional status across Europe from the Middle Ages to the present. While latitude strongly influenced height, its impact on schizophrenia and autism was smaller and varied. Contrary to the cold winters theory, the study found no significant correlation between latitude and intelligence.
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12
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Antonio ML, Weiß CL, Gao Z, Sawyer S, Oberreiter V, Moots HM, Spence JP, Cheronet O, Zagorc B, Praxmarer E, Özdoğan KT, Demetz L, Gelabert P, Fernandes D, Lucci M, Alihodžić T, Amrani S, Avetisyan P, Baillif-Ducros C, Bedić Ž, Bertrand A, Bilić M, Bondioli L, Borówka P, Botte E, Burmaz J, Bužanić D, Candilio F, Cvetko M, De Angelis D, Drnić I, Elschek K, Fantar M, Gaspari A, Gasperetti G, Genchi F, Golubović S, Hukeľová Z, Jankauskas R, Vučković KJ, Jeremić G, Kaić I, Kazek K, Khachatryan H, Khudaverdyan A, Kirchengast S, Korać M, Kozlowski V, Krošláková M, Kušan Špalj D, La Pastina F, Laguardia M, Legrand S, Leleković T, Leskovar T, Lorkiewicz W, Los D, Silva AM, Masaryk R, Matijević V, Cherifi YMS, Meyer N, Mikić I, Miladinović-Radmilović N, Milošević Zakić B, Nacouzi L, Natuniewicz-Sekuła M, Nava A, Neugebauer-Maresch C, Nováček J, Osterholtz A, Paige J, Paraman L, Pieri D, Pieta K, Pop-Lazić S, Ruttkay M, Sanader M, Sołtysiak A, Sperduti A, Stankovic Pesterac T, Teschler-Nicola M, Teul I, Tončinić D, Trapp J, Vulović D, Waliszewski T, Walter D, Živanović M, Filah MEM, Čaušević-Bully M, Šlaus M, Borić D, Novak M, Coppa A, Pinhasi R, Pritchard JK. Stable population structure in Europe since the Iron Age, despite high mobility. eLife 2024; 13:e79714. [PMID: 38288729 PMCID: PMC10827293 DOI: 10.7554/elife.79714] [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: 04/23/2022] [Accepted: 12/12/2023] [Indexed: 02/01/2024] Open
Abstract
Ancient DNA research in the past decade has revealed that European population structure changed dramatically in the prehistoric period (14,000-3000 years before present, YBP), reflecting the widespread introduction of Neolithic farmer and Bronze Age Steppe ancestries. However, little is known about how population structure changed from the historical period onward (3000 YBP - present). To address this, we collected whole genomes from 204 individuals from Europe and the Mediterranean, many of which are the first historical period genomes from their region (e.g. Armenia and France). We found that most regions show remarkable inter-individual heterogeneity. At least 7% of historical individuals carry ancestry uncommon in the region where they were sampled, some indicating cross-Mediterranean contacts. Despite this high level of mobility, overall population structure across western Eurasia is relatively stable through the historical period up to the present, mirroring geography. We show that, under standard population genetics models with local panmixia, the observed level of dispersal would lead to a collapse of population structure. Persistent population structure thus suggests a lower effective migration rate than indicated by the observed dispersal. We hypothesize that this phenomenon can be explained by extensive transient dispersal arising from drastically improved transportation networks and the Roman Empire's mobilization of people for trade, labor, and military. This work highlights the utility of ancient DNA in elucidating finer scale human population dynamics in recent history.
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Affiliation(s)
- Margaret L Antonio
- Biomedical Informatics Program, Stanford UniversityStanfordUnited States
| | - Clemens L Weiß
- Department of Genetics, Stanford UniversityStanfordUnited States
| | - Ziyue Gao
- Department of Genetics, University of Pennsylvania, Perelman School of MedicinePhiladelphiaUnited States
| | - Susanna Sawyer
- Department of Evolutionary Anthropology, University of ViennaViennaAustria
- Human Evolution and Archaeological Sciences, University of ViennaViennaAustria
| | - Victoria Oberreiter
- Department of Evolutionary Anthropology, University of ViennaViennaAustria
- Human Evolution and Archaeological Sciences, University of ViennaViennaAustria
| | - Hannah M Moots
- Stanford Archaeology Center, Stanford UniversityStanfordUnited States
- University of Chicago, Department of Human GeneticsChicagoUnited States
| | - Jeffrey P Spence
- Department of Genetics, Stanford UniversityStanfordUnited States
| | - Olivia Cheronet
- Department of Evolutionary Anthropology, University of ViennaViennaAustria
- Human Evolution and Archaeological Sciences, University of ViennaViennaAustria
| | - Brina Zagorc
- Department of Evolutionary Anthropology, University of ViennaViennaAustria
- Human Evolution and Archaeological Sciences, University of ViennaViennaAustria
| | - Elisa Praxmarer
- Department of Evolutionary Anthropology, University of ViennaViennaAustria
| | | | - Lea Demetz
- Department of Evolutionary Anthropology, University of ViennaViennaAustria
| | - Pere Gelabert
- Department of Evolutionary Anthropology, University of ViennaViennaAustria
| | - Daniel Fernandes
- Department of Evolutionary Anthropology, University of ViennaViennaAustria
- Human Evolution and Archaeological Sciences, University of ViennaViennaAustria
- CIAS, Department of Life Sciences, University of CoimbraCoimbraPortugal
| | - Michaela Lucci
- Dipartimento di Storia Antropologia Religioni Arte Spettacolo, Sapienza UniversityRomeItaly
| | | | - Selma Amrani
- LBEIG, Population Genetics & Conservation Unit, Department of Cellular and Molecular Biology – Faculty of Biological Sciences, University of Sciences and Technology Houari BoumedieneAlgiersAlgeria
| | - Pavel Avetisyan
- National Academy of Sciences of Armenia, Institute of Archaeology and EthnographyYerevanArmenia
| | - Christèle Baillif-Ducros
- French National Institute for Preventive Archaeological Research (INRAP)/CAGT UMR 5288ToulouseFrance
| | - Željka Bedić
- Centre for Applied Bioanthropology, Institute for Anthropological ResearchZagrebCroatia
| | | | | | - Luca Bondioli
- Dipartimento dei Beni Culturali, Archeologia, Storia dell'arte, del Cinema e della Musica, Università di PadovaPadovaItaly
| | - Paulina Borówka
- Department of Anthropology, Faculty of Biology and Environmental Protection, University of LodzŁódźPoland
| | - Emmanuel Botte
- Aix Marseille Université, CNRS, Centre Camille JullianAix-en-ProvenceFrance
| | | | - Domagoj Bužanić
- Faculty of Humanities and Social Sciences, University of ZagrebZagrebCroatia
| | | | - Mirna Cvetko
- Faculty of Humanities and Social Sciences, University of ZagrebZagrebCroatia
| | - Daniela De Angelis
- Museo Archeologico Nazionale di Tarquinia, Direzione Regionale Musei LazioRomeItaly
| | - Ivan Drnić
- Archaeological Museum in ZagrebZagrebCroatia
| | - Kristián Elschek
- Institute of Archaeology, Slovak Academy of SciencesNitraSlovakia
| | - Mounir Fantar
- Département des Monuments et des Sites Antiques - Institut National du Patrimoine INPTunisTunisia
| | - Andrej Gaspari
- University of Ljubljana, Faculty of Arts, Department for ArchaeologyLjubljanaSlovenia
| | - Gabriella Gasperetti
- Soprintendenza Archeologia, belle arti e paesaggio per le province di Sassari e NuoroSassariItaly
| | - Francesco Genchi
- Department of Oriental Studies, Sapienza University of RomeRomeItaly
| | | | - Zuzana Hukeľová
- Institute of Archaeology, Slovak Academy of SciencesNitraSlovakia
| | | | | | | | - Iva Kaić
- Faculty of Humanities and Social Sciences, University of ZagrebZagrebCroatia
| | - Kevin Kazek
- Université de Lorraine, Centre de Recherche Universitaire Lorrain d' Histoire (CRULH)NancyFrance
| | - Hamazasp Khachatryan
- Department of Archaeologi, Shirak Centere of Armenological Studies, National Academy of Sciences Republic of ArmeniaGyumriArmenia
| | - Anahit Khudaverdyan
- Institute of Archaeology and Ethnography of the National Academy of Sciences of the Republic of ArmeniaYerevanArmenia
| | - Sylvia Kirchengast
- Department of Evolutionary Anthropology, University of ViennaViennaAustria
| | | | | | - Mária Krošláková
- Institute of Archaeology, Slovak Academy of SciencesNitraSlovakia
| | | | | | - Marie Laguardia
- UMR 7041 ArScAn / French Institute of the Near EastBeirutLebanon
| | | | - Tino Leleković
- Archaeology Division, Croatian Academy of Sciences and ArtsZagrebCroatia
| | - Tamara Leskovar
- University of Ljubljana, Faculty of Arts, Department for ArchaeologyLjubljanaSlovenia
| | - Wiesław Lorkiewicz
- Department of Anthropology, Faculty of Biology and Environmental Protection, University of LodzŁódźPoland
| | | | - Ana Maria Silva
- CIAS, Department of Life Sciences, University of CoimbraCoimbraPortugal
- CEF - University of CoimbraCoimbraPortugal
- UNIARQ - University of LisbonLisbonPortugal
| | - Rene Masaryk
- Skupina STIK Zavod za preučevanje povezovalnih področij preteklosti in sedanjostiLjubljanaSlovenia
| | - Vinka Matijević
- Faculty of Humanities and Social Sciences, University of ZagrebZagrebCroatia
| | - Yahia Mehdi Seddik Cherifi
- Department of Evolutionary Anthropology, University of ViennaViennaAustria
- Cardiolo-Oncology Research Collaborative Group (CORCG), Faculty of Medicine, Benyoucef Benkhedda UniversityAlgiersAlgeria
- Molecular Pathology, University Paul Sabatier Toulouse IIIToulouseFrance
| | - Nicolas Meyer
- French National Institute for Preventive Archaeological Research (INRAP)MetzFrance
| | - Ilija Mikić
- Institute of Archaeology BelgradeBelgradeSerbia
| | | | | | - Lina Nacouzi
- L’Institut français du Proche-OrientBeirutLebanon
| | - Magdalena Natuniewicz-Sekuła
- Institute of Archaeology and Ethnology Polish Academy of Sciences, Centre of Interdisciplinary Archaeological ResearchWarsawPoland
| | - Alessia Nava
- Department of Odontostomatological and Maxillofacial Sciences, Sapienza University of RomeRomeItaly
| | - Christine Neugebauer-Maresch
- Austrian Archaeological Institute, Austrian Academy of SciencesViennaAustria
- Institute of Prehistory and Early History, University of ViennaViennaAustria
| | - Jan Nováček
- Thuringia State Service for Cultural Heritage and Archaeology WeimarThuringiaGermany
- Institute of Anatomy and Cell Biology, University Medical Centre, Georg-August University of GöttingenGöttingenGermany
| | | | | | | | | | - Karol Pieta
- Institute of Archaeology, Slovak Academy of SciencesNitraSlovakia
| | | | - Matej Ruttkay
- Institute of Archaeology, Slovak Academy of SciencesNitraSlovakia
| | - Mirjana Sanader
- Faculty of Humanities and Social Sciences, University of ZagrebZagrebCroatia
| | | | - Alessandra Sperduti
- Bioarchaeology Service, Museum of CivilizationsRomeItaly
- Dipartimento Asia, Africa e Mediterraneo, Università degli Studi di Napoli “L’Orientale”NaplesItaly
| | | | - Maria Teschler-Nicola
- Department of Evolutionary Anthropology, University of ViennaViennaAustria
- Department of Anthropology, Natural History Museum ViennaViennaAustria
| | - Iwona Teul
- Chair and Department of Normal Anatomy, Faculty of Medicine and Dentistry, Pomeranian Medical UniversitySzczecinPoland
| | - Domagoj Tončinić
- Faculty of Humanities and Social Sciences, University of ZagrebZagrebCroatia
| | - Julien Trapp
- Musée de La Cour d'Or, Eurométropole de MetzMetzFrance
| | | | | | - Diethard Walter
- Thuringia State Service for Cultural Heritage and Archaeology WeimarThuringiaGermany
| | - Miloš Živanović
- Department of Archeology, Center for Conservation and Archeology of MontenegroCetinjeMontenegro
| | | | | | - Mario Šlaus
- Anthropological Centre, Croatian Academy of Sciences and ArtsZagrebCroatia
| | - Dušan Borić
- Department of Environmental Biology, Sapienza University of RomeRomeItaly
- Department of Anthropology, New York UniversityNew YorkUnited States
| | - Mario Novak
- Centre for Applied Bioanthropology, Institute for Anthropological ResearchZagrebCroatia
| | - Alfredo Coppa
- Department of Evolutionary Anthropology, University of ViennaViennaAustria
- Department of Environmental Biology, Sapienza University of RomeRomeItaly
- Department of Genetics, Harvard Medical SchoolBostonUnited States
| | - Ron Pinhasi
- Department of Evolutionary Anthropology, University of ViennaViennaAustria
- Human Evolution and Archaeological Sciences, University of ViennaViennaAustria
| | - Jonathan K Pritchard
- Department of Genetics, Stanford UniversityStanfordUnited States
- Department of Biology, Stanford UniversityStanfordUnited States
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13
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Hui R, Scheib CL, D’Atanasio E, Inskip SA, Cessford C, Biagini SA, Wohns AW, Ali MQ, Griffith SJ, Solnik A, Niinemäe H, Ge XJ, Rose AK, Beneker O, O’Connell TC, Robb JE, Kivisild T. Genetic history of Cambridgeshire before and after the Black Death. SCIENCE ADVANCES 2024; 10:eadi5903. [PMID: 38232165 PMCID: PMC10793959 DOI: 10.1126/sciadv.adi5903] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 12/14/2023] [Indexed: 01/19/2024]
Abstract
The extent of the devastation of the Black Death pandemic (1346-1353) on European populations is known from documentary sources and its bacterial source illuminated by studies of ancient pathogen DNA. What has remained less understood is the effect of the pandemic on human mobility and genetic diversity at the local scale. Here, we report 275 ancient genomes, including 109 with coverage >0.1×, from later medieval and postmedieval Cambridgeshire of individuals buried before and after the Black Death. Consistent with the function of the institutions, we found a lack of close relatives among the friars and the inmates of the hospital in contrast to their abundance in general urban and rural parish communities. While we detect long-term shifts in local genetic ancestry in Cambridgeshire, we find no evidence of major changes in genetic ancestry nor higher differentiation of immune loci between cohorts living before and after the Black Death.
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Affiliation(s)
- Ruoyun Hui
- Alan Turing Institute, London, UK
- McDonald Institute for Archaeological Research, University of Cambridge, Cambridge, UK
| | - Christiana L. Scheib
- McDonald Institute for Archaeological Research, University of Cambridge, Cambridge, UK
- Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu, Estonia
- St John’s College, University of Cambridge, Cambridge, UK
| | | | - Sarah A. Inskip
- McDonald Institute for Archaeological Research, University of Cambridge, Cambridge, UK
- School of Archaeology and Ancient History, University of Leicester, Leicester, UK
| | - Craig Cessford
- McDonald Institute for Archaeological Research, University of Cambridge, Cambridge, UK
- Cambridge Archaeological Unit, Department of Archaeology, University of Cambridge, Cambridge, UK
| | | | - Anthony W. Wohns
- School of Medicine, Stanford University, Stanford, CA, USA
- Department of Genetics and Biology, Stanford University, Stanford, CA, USA
| | | | - Samuel J. Griffith
- Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Anu Solnik
- Core Facility, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Helja Niinemäe
- Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Xiangyu Jack Ge
- Wellcome Genome Campus, Wellcome Sanger Institute, Hinxton, UK
| | - Alice K. Rose
- McDonald Institute for Archaeological Research, University of Cambridge, Cambridge, UK
- Department of Archaeology, University of Durham, Durham, UK
| | - Owyn Beneker
- Department of Human Genetics, KU Leuven, Leuven, Belgium
| | - Tamsin C. O’Connell
- McDonald Institute for Archaeological Research, University of Cambridge, Cambridge, UK
| | - John E. Robb
- Department of Archaeology, University of Cambridge, Cambridge, UK
| | - Toomas Kivisild
- McDonald Institute for Archaeological Research, University of Cambridge, Cambridge, UK
- Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu, Estonia
- Department of Human Genetics, KU Leuven, Leuven, Belgium
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14
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Simon A, Coop G. The contribution of gene flow, selection, and genetic drift to five thousand years of human allele frequency change. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.07.11.548607. [PMID: 37503227 PMCID: PMC10370008 DOI: 10.1101/2023.07.11.548607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/29/2023]
Abstract
Genomic time series from experimental evolution studies and ancient DNA datasets offer us a chance to directly observe the interplay of various evolutionary forces. We show how the genome-wide variance in allele frequency change between two time points can be decomposed into the contributions of gene flow, genetic drift, and linked selection. In closed populations, the contribution of linked selection is identifiable because it creates covariances between time intervals, and genetic drift does not. However, repeated gene flow between populations can also produce directionality in allele frequency change, creating covariances. We show how to accurately separate the fraction of variance in allele frequency change due to admixture and linked selection in a population receiving gene flow. We use two human ancient DNA datasets, spanning around 5,000 years, as time transects to quantify the contributions to the genome-wide variance in allele frequency change. We find that a large fraction of genome-wide change is due to gene flow. In both cases, after correcting for known major gene flow events, we do not observe a signal of genome-wide linked selection. Thus despite the known role of selection in shaping long-term polymorphism levels, and an increasing number of examples of strong selection on single loci and polygenic scores from ancient DNA, it appears to be gene flow and drift, and not selection, that are the main determinants of recent genome-wide allele frequency change. Our approach should be applicable to the growing number of contemporary and ancient temporal population genomics datasets.
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Affiliation(s)
- Alexis Simon
- Center for Population Biology, University of California, Davis, CA 95616
- Department of Evolution and Ecology, University of California, Davis, CA 95616
| | - Graham Coop
- Center for Population Biology, University of California, Davis, CA 95616
- Department of Evolution and Ecology, University of California, Davis, CA 95616
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15
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Silva M, Booth T, Moore J, Anastasiadou K, Walker D, Gilardet A, Barrington C, Kelly M, Williams M, Henderson M, Smith A, Bowsher D, Montgomery J, Skoglund P. An individual with Sarmatian-related ancestry in Roman Britain. Curr Biol 2024; 34:204-212.e6. [PMID: 38118448 DOI: 10.1016/j.cub.2023.11.049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 10/10/2023] [Accepted: 11/21/2023] [Indexed: 12/22/2023]
Abstract
In the second century CE the Roman Empire had increasing contact with Sarmatians, nomadic Iranian speakers occupying an area stretching from the Pontic-Caspian steppe to the Carpathian mountains, both in the Caucasus and in the Danubian borders of the empire.1,2,3 In 175 CE, following their defeat in the Marcomannic Wars, emperor Marcus Aurelius drafted Sarmatian cavalry into Roman legions and deployed 5,500 Sarmatian soldiers to Britain, as recorded by contemporary historian Cassius Dio.4,5 Little is known about where the Sarmatian cavalry were stationed, and no individuals connected with this historically attested event have been identified to date, leaving its impact on Britain largely unknown. Here we document Caucasus- and Sarmatian-related ancestry in the whole genome of a Roman-period individual (126-228 calibrated [cal.] CE)-an outlier without traceable ancestry related to local populations in Britain-recovered from a farmstead site in present-day Cambridgeshire, UK. Stable isotopes support a life history of mobility during childhood. Although several scenarios are possible, the historical deployment of Sarmatians to Britain provides a parsimonious explanation for this individual's extraordinary life history. Regardless of the factors behind his migrations, these results highlight how long-range mobility facilitated by the Roman Empire impacted provincial locations outside of urban centers.
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Affiliation(s)
- Marina Silva
- Ancient Genomics Laboratory, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK.
| | - Thomas Booth
- Ancient Genomics Laboratory, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK
| | - Joanna Moore
- Department of Archaeology, Durham University, Lower Mountjoy, South Rd, DH1 3LE, Durham, United Kingdom
| | - Kyriaki Anastasiadou
- Ancient Genomics Laboratory, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK
| | - Don Walker
- Museum of London Archaeology (MOLA), Mortimer Wheeler House, 46 Eagle Wharf Road, London N1 7ED, UK
| | - Alexandre Gilardet
- Ancient Genomics Laboratory, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK
| | - Christopher Barrington
- Bioinformatics and Biostatistics, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK
| | - Monica Kelly
- Ancient Genomics Laboratory, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK
| | - Mia Williams
- Ancient Genomics Laboratory, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK
| | - Michael Henderson
- Museum of London Archaeology (MOLA), Mortimer Wheeler House, 46 Eagle Wharf Road, London N1 7ED, UK
| | - Alex Smith
- Headland Archaeology, 13 Jane Street, Edinburgh EH6 5HE, UK
| | - David Bowsher
- Museum of London Archaeology (MOLA), Mortimer Wheeler House, 46 Eagle Wharf Road, London N1 7ED, UK
| | - Janet Montgomery
- Department of Archaeology, Durham University, Lower Mountjoy, South Rd, DH1 3LE, Durham, United Kingdom.
| | - Pontus Skoglund
- Ancient Genomics Laboratory, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK.
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16
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Ringbauer H, Huang Y, Akbari A, Mallick S, Olalde I, Patterson N, Reich D. Accurate detection of identity-by-descent segments in human ancient DNA. Nat Genet 2024; 56:143-151. [PMID: 38123640 PMCID: PMC10786714 DOI: 10.1038/s41588-023-01582-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Accepted: 10/20/2023] [Indexed: 12/23/2023]
Abstract
Long DNA segments shared between two individuals, known as identity-by-descent (IBD), reveal recent genealogical connections. Here we introduce ancIBD, a method for identifying IBD segments in ancient human DNA (aDNA) using a hidden Markov model and imputed genotype probabilities. We demonstrate that ancIBD accurately identifies IBD segments >8 cM for aDNA data with an average depth of >0.25× for whole-genome sequencing or >1× for 1240k single nucleotide polymorphism capture data. Applying ancIBD to 4,248 ancient Eurasian individuals, we identify relatives up to the sixth degree and genealogical connections between archaeological groups. Notably, we reveal long IBD sharing between Corded Ware and Yamnaya groups, indicating that the Yamnaya herders of the Pontic-Caspian Steppe and the Steppe-related ancestry in various European Corded Ware groups share substantial co-ancestry within only a few hundred years. These results show that detecting IBD segments can generate powerful insights into the growing aDNA record, both on a small scale relevant to life stories and on a large scale relevant to major cultural-historical events.
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Affiliation(s)
- Harald Ringbauer
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA.
| | - Yilei Huang
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- Bioinformatics Group, Institute of Computer Science, Universität Leipzig, Leipzig, Germany
| | - Ali Akbari
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Swapan Mallick
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
| | - Iñigo Olalde
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- BIOMICs Research Group, University of the Basque Country, Vitoria-Gasteiz, Spain
- Ikerbasque-Basque Foundation of Science, Bilbao, Spain
| | - Nick Patterson
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - David Reich
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA.
- Department of Genetics, Harvard Medical School, Boston, MA, USA.
- Broad Institute of Harvard and MIT, Cambridge, MA, USA.
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA.
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17
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Irving-Pease EK, Refoyo-Martínez A, Barrie W, Ingason A, Pearson A, Fischer A, Sjögren KG, Halgren AS, Macleod R, Demeter F, Henriksen RA, Vimala T, McColl H, Vaughn AH, Speidel L, Stern AJ, Scorrano G, Ramsøe A, Schork AJ, Rosengren A, Zhao L, Kristiansen K, Iversen AKN, Fugger L, Sudmant PH, Lawson DJ, Durbin R, Korneliussen T, Werge T, Allentoft ME, Sikora M, Nielsen R, Racimo F, Willerslev E. The selection landscape and genetic legacy of ancient Eurasians. Nature 2024; 625:312-320. [PMID: 38200293 PMCID: PMC10781624 DOI: 10.1038/s41586-023-06705-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Accepted: 10/03/2023] [Indexed: 01/12/2024]
Abstract
The Holocene (beginning around 12,000 years ago) encompassed some of the most significant changes in human evolution, with far-reaching consequences for the dietary, physical and mental health of present-day populations. Using a dataset of more than 1,600 imputed ancient genomes1, we modelled the selection landscape during the transition from hunting and gathering, to farming and pastoralism across West Eurasia. We identify key selection signals related to metabolism, including that selection at the FADS cluster began earlier than previously reported and that selection near the LCT locus predates the emergence of the lactase persistence allele by thousands of years. We also find strong selection in the HLA region, possibly due to increased exposure to pathogens during the Bronze Age. Using ancient individuals to infer local ancestry tracts in over 400,000 samples from the UK Biobank, we identify widespread differences in the distribution of Mesolithic, Neolithic and Bronze Age ancestries across Eurasia. By calculating ancestry-specific polygenic risk scores, we show that height differences between Northern and Southern Europe are associated with differential Steppe ancestry, rather than selection, and that risk alleles for mood-related phenotypes are enriched for Neolithic farmer ancestry, whereas risk alleles for diabetes and Alzheimer's disease are enriched for Western hunter-gatherer ancestry. Our results indicate that ancient selection and migration were large contributors to the distribution of phenotypic diversity in present-day Europeans.
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Affiliation(s)
- Evan K Irving-Pease
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark.
| | - Alba Refoyo-Martínez
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - William Barrie
- GeoGenetics Group, Department of Zoology, University of Cambridge, Cambridge, UK
| | - Andrés Ingason
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Institute of Biological Psychiatry, Mental Health Services, Copenhagen University Hospital, Roskilde, Denmark
| | - Alice Pearson
- Department of Genetics, University of Cambridge, Cambridge, UK
- Department of Zoology, University of Cambridge, Cambridge, UK
| | - Anders Fischer
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Department of Historical Studies, University of Gothenburg, Gothenburg, Sweden
- Sealand Archaeology, Kalundborg, Denmark
| | - Karl-Göran Sjögren
- Department of Historical Studies, University of Gothenburg, Gothenburg, Sweden
| | - Alma S Halgren
- Department of Integrative Biology, University of California Berkeley, Berkeley, CA, USA
| | - Ruairidh Macleod
- GeoGenetics Group, Department of Zoology, University of Cambridge, Cambridge, UK
- UCL Genetics Institute, University College London, London, UK
| | - Fabrice Demeter
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Eco-anthropologie, Muséum national d'Histoire naturelle, CNRS, Université Paris Cité, Musée de l'Homme, Paris, France
| | - Rasmus A Henriksen
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Tharsika Vimala
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Hugh McColl
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Andrew H Vaughn
- Center for Computational Biology, University of California, Berkeley, CA, USA
| | - Leo Speidel
- UCL Genetics Institute, University College London, London, UK
- Ancient Genomics Laboratory, The Francis Crick Institute, London, UK
| | - Aaron J Stern
- Center for Computational Biology, University of California, Berkeley, CA, USA
| | - Gabriele Scorrano
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Abigail Ramsøe
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Andrew J Schork
- Institute of Biological Psychiatry, Mental Health Services, Copenhagen University Hospital, Roskilde, Denmark
- Neurogenomics Division, The Translational Genomics Research Institute (TGEN), Phoenix, AZ, USA
| | - Anders Rosengren
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Institute of Biological Psychiatry, Mental Health Services, Copenhagen University Hospital, Roskilde, Denmark
| | - Lei Zhao
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Kristian Kristiansen
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Department of Historical Studies, University of Gothenburg, Gothenburg, Sweden
| | - Astrid K N Iversen
- Oxford Centre for Neuroinflammation, Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, UK
- Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, UK
| | - Lars Fugger
- Oxford Centre for Neuroinflammation, Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, UK
- Department of Clinical Medicine, Aarhus University Hospital, Aarhus, Denmark
- MRC Human Immunology Unit, John Radcliffe Hospital, University of Oxford, Oxford, UK
| | - Peter H Sudmant
- Department of Integrative Biology, University of California Berkeley, Berkeley, CA, USA
- Center for Computational Biology, University of California, Berkeley, CA, USA
| | - Daniel J Lawson
- Institute of Statistical Sciences, School of Mathematics, University of Bristol, Bristol, UK
| | - Richard Durbin
- Department of Genetics, University of Cambridge, Cambridge, UK
- Wellcome Sanger Institute, Cambridge, UK
| | - Thorfinn Korneliussen
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Thomas Werge
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Institute of Biological Psychiatry, Mental Health Center Sct Hans, Copenhagen University Hospital, Copenhagen, Denmark
| | - Morten E Allentoft
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Trace and Environmental DNA (TrEnD) Laboratory, School of Molecular and Life Science, Curtin University, Perth, Western Australia, Australia
| | - Martin Sikora
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Rasmus Nielsen
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark.
- Departments of Integrative Biology and Statistics, UC Berkeley, Berkeley, CA, USA.
| | - Fernando Racimo
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark.
| | - Eske Willerslev
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark.
- GeoGenetics Group, Department of Zoology, University of Cambridge, Cambridge, UK.
- MARUM Center for Marine Environmental Sciences and Faculty of Geosciences, University of Bremen, Bremen, Germany.
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18
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Di Santo LN, Quilodrán CS, Currat M. Temporal Variation in Introgressed Segments' Length Statistics Computed from a Limited Number of Ancient Genomes Sheds Light on Past Admixture Pulses. Mol Biol Evol 2023; 40:msad252. [PMID: 37992125 PMCID: PMC10715198 DOI: 10.1093/molbev/msad252] [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: 04/18/2023] [Revised: 10/16/2023] [Accepted: 11/09/2023] [Indexed: 11/24/2023] Open
Abstract
Hybridization is recognized as an important evolutionary force, but identifying and timing admixture events between divergent lineages remain a major aim of evolutionary biology. While this has traditionally been done using inferential tools on contemporary genomes, the latest advances in paleogenomics have provided a growing wealth of temporally distributed genomic data. Here, we used individual-based simulations to generate chromosome-level genomic data for a 2-population system and described temporal neutral introgression patterns under a single- and 2-pulse admixture model. We computed 6 summary statistics aiming to inform the timing and number of admixture pulses between interbreeding entities: lengths of introgressed sequences and their variance within genomes, as well as genome-wide introgression proportions and related measures. The first 2 statistics could confidently be used to infer interlineage hybridization history, peaking at the beginning and shortly after an admixture pulse. Temporal variation in introgression proportions and related statistics provided more limited insights, particularly when considering their application to ancient genomes still scant in number. Lastly, we computed these statistics on Homo sapiens paleogenomes and successfully inferred the hybridization pulse from Neanderthal that occurred approximately 40 to 60 kya. The scarce number of genomes dating from this period prevented more precise inferences, but the accumulation of paleogenomic data opens promising perspectives as our approach only requires a limited number of ancient genomes.
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Affiliation(s)
- Lionel N Di Santo
- Department of Genetics and Evolution, University of Geneva, Geneva CH-1205
| | | | - Mathias Currat
- Department of Genetics and Evolution, University of Geneva, Geneva CH-1205
- Institute of Genetics and Genomics in Geneva (IGE3), University of Geneva, Geneva CH-1205
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19
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Davidson R, Williams MP, Roca-Rada X, Kassadjikova K, Tobler R, Fehren-Schmitz L, Llamas B. Allelic bias when performing in-solution enrichment of ancient human DNA. Mol Ecol Resour 2023; 23:1823-1840. [PMID: 37712846 DOI: 10.1111/1755-0998.13869] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Accepted: 08/11/2023] [Indexed: 09/16/2023]
Abstract
In-solution hybridisation enrichment of genetic variation is a valuable methodology in human paleogenomics. It allows enrichment of endogenous DNA by targeting genetic markers that are comparable between sequencing libraries. Many studies have used the 1240k reagent-which enriches 1,237,207 genome-wide SNPs-since 2015, though access was restricted. In 2021, Twist Biosciences and Daicel Arbor Biosciences independently released commercial kits that enabled all researchers to perform enrichments for the same 1240 k SNPs. We used the Daicel Arbor Biosciences Prime Plus kit to enrich 132 ancient samples from three continents. We identified a systematic assay bias that increases genetic similarity between enriched samples and that cannot be explained by batch effects. We present the impact of the bias on population genetics inferences (e.g. Principal Components Analysis, ƒ-statistics) and genetic relatedness (READ). We compare the Prime Plus bias to that previously reported of the legacy 1240k enrichment assay. In ƒ-statistics, we find that all Prime-Plus-generated data exhibit artefactual excess shared drift, such that within-continent relationships cannot be correctly determined. The bias is more subtle in READ, though interpretation of the results can still be misleading in specific contexts. We expect the bias may affect analyses we have not yet tested. Our observations support previously reported concerns for the integration of different data types in paleogenomics. We also caution that technological solutions to generate 1240k data necessitate a thorough validation process before their adoption in the paleogenomic community.
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Affiliation(s)
- Roberta Davidson
- The Australian Centre for Ancient DNA and the Environment Institute, School of Biological Sciences, The University of Adelaide, Adelaide, South Australia, Australia
| | - Matthew P Williams
- The Australian Centre for Ancient DNA and the Environment Institute, School of Biological Sciences, The University of Adelaide, Adelaide, South Australia, Australia
- Biology Department, The Pennsylvania State University, Pennsylvania, USA
| | - Xavier Roca-Rada
- The Australian Centre for Ancient DNA and the Environment Institute, School of Biological Sciences, The University of Adelaide, Adelaide, South Australia, Australia
| | - Kalina Kassadjikova
- UCSC Paleogenomics, Department of Anthropology, University of California, California, USA
| | - Raymond Tobler
- The Australian Centre for Ancient DNA and the Environment Institute, School of Biological Sciences, The University of Adelaide, Adelaide, South Australia, Australia
- Evolution of Cultural Diversity Initiative, Australian National University, Canberra, Australia
- Centre of Excellence for Australian Biodiversity and Heritage, The University of Adelaide, Adelaide, South Australia, Australia
| | - Lars Fehren-Schmitz
- UCSC Paleogenomics, Department of Anthropology, University of California, California, USA
- UCSC Genomics Institute, University of California, California, USA
| | - Bastien Llamas
- The Australian Centre for Ancient DNA and the Environment Institute, School of Biological Sciences, The University of Adelaide, Adelaide, South Australia, Australia
- Centre of Excellence for Australian Biodiversity and Heritage, The University of Adelaide, Adelaide, South Australia, Australia
- National Centre for Indigenous Genomics, Australian National University, Canberra, Australia
- Indigenous Genomics, Telethon Kids Institute, Adelaide, South Australia, Australia
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20
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Zedda N, Meheux K, Blöcher J, Diekmann Y, Gorelik AV, Kalle M, Klein K, Titze AL, Winkelbach L, Naish E, Brou L, Valotteau F, Le Brun-Ricalens F, Burger J, Brami M. Biological and substitute parents in Beaker period adult-child graves. Sci Rep 2023; 13:18765. [PMID: 37907573 PMCID: PMC10618162 DOI: 10.1038/s41598-023-45612-3] [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: 07/18/2023] [Accepted: 10/21/2023] [Indexed: 11/02/2023] Open
Abstract
Joint inhumations of adults and children are an intriguing aspect of the shift from collective to single burial rites in third millennium BC Western Eurasia. Here, we revisit two exceptional Beaker period adult-child graves using ancient DNA: Altwies in Luxembourg and Dunstable Downs in Britain. Ancestry modelling and patterns of shared IBD segments between the individuals examined, and contemporary genomes from Central and Northwest Europe, highlight the continental connections of British Beakers. Although simultaneous burials may involve individuals with no social or biological ties, we present evidence that close blood relations played a role in shaping third millennium BC social systems and burial practices, for example a biological mother and her son buried together at Altwies. Extended family, such as a paternal aunt at Dunstable Downs, could also act as 'substitute parents' in the grave. Hypotheses are explored to explain such simultaneous inhumations. Whilst intercommunity violence, infectious disease and epidemics may be considered as explanations, they fail to account for both the specific, codified nature of this particular form of inhumation, and its pervasiveness, as evidenced by a representative sample of 131 adult-child graves from 88 sites across Eurasia, all dating to the third and second millennia BC.
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Affiliation(s)
- Nicoletta Zedda
- Palaeogenetics Group, Institute of Organismic and Molecular Evolution (iomE), Johannes Gutenberg University Mainz, Mainz, Germany
- Department of Environmental and Prevention Sciences, University of Ferrara, Ferrara, Italy
| | - Katie Meheux
- Institute of Archaeology Library, LCCOS, University College London, London, UK
| | - Jens Blöcher
- Palaeogenetics Group, Institute of Organismic and Molecular Evolution (iomE), Johannes Gutenberg University Mainz, Mainz, Germany
| | - Yoan Diekmann
- Palaeogenetics Group, Institute of Organismic and Molecular Evolution (iomE), Johannes Gutenberg University Mainz, Mainz, Germany
| | - Alexander V Gorelik
- Vor- Und Frühgeschichtliche Archäologie, Institut Für Altertumswissenschaften, Johannes Gutenberg University Mainz, Mainz, Germany
| | - Martin Kalle
- Vor- Und Frühgeschichtliche Archäologie, Institut Für Altertumswissenschaften, Johannes Gutenberg University Mainz, Mainz, Germany
| | - Kevin Klein
- Vor- Und Frühgeschichtliche Archäologie, Institut Für Altertumswissenschaften, Johannes Gutenberg University Mainz, Mainz, Germany
| | - Anna-Lena Titze
- Palaeogenetics Group, Institute of Organismic and Molecular Evolution (iomE), Johannes Gutenberg University Mainz, Mainz, Germany
| | - Laura Winkelbach
- Palaeogenetics Group, Institute of Organismic and Molecular Evolution (iomE), Johannes Gutenberg University Mainz, Mainz, Germany
| | | | - Laurent Brou
- Institut National de Recherches Archéologiques (INRA), Bertrange, Luxembourg
| | - François Valotteau
- Institut National de Recherches Archéologiques (INRA), Bertrange, Luxembourg
| | | | - Joachim Burger
- Palaeogenetics Group, Institute of Organismic and Molecular Evolution (iomE), Johannes Gutenberg University Mainz, Mainz, Germany
| | - Maxime Brami
- Palaeogenetics Group, Institute of Organismic and Molecular Evolution (iomE), Johannes Gutenberg University Mainz, Mainz, Germany.
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21
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Frynta D, Elmi HSA, Janovcová M, Rudolfová V, Štolhoferová I, Rexová K, Král D, Sommer D, Berti DA, Landová E, Frýdlová P. Are vipers prototypic fear-evoking snakes? A cross-cultural comparison of Somalis and Czechs. Front Psychol 2023; 14:1233667. [PMID: 37928591 PMCID: PMC10620321 DOI: 10.3389/fpsyg.2023.1233667] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Accepted: 09/08/2023] [Indexed: 11/07/2023] Open
Abstract
Snakes are known as highly fear-evoking animals, eliciting preferential attention and fast detection in humans. We examined the human fear response to snakes in the context of both current and evolutionary experiences, conducting our research in the cradle of humankind, the Horn of Africa. This region is characterized by the frequent occurrence of various snake species, including deadly venomous viperids (adders) and elapids (cobras and mambas). We conducted experiments in Somaliland and compared the results with data from Czech respondents to address the still unresolved questions: To which extent is human fear of snakes affected by evolutionary or current experience and local culture? Can people of both nationalities recognize venomous snakes as a category, or are they only afraid of certain species that are most dangerous in a given area? Are respondents of both nationalities equally afraid of deadly snakes from both families (Viperidae, Elapidae)? We employed a well-established picture-sorting approach, consisting of 48 snake species belonging to four distinct groups. Our results revealed significant agreement among Somali as well as Czech respondents. We found a highly significant effect of the stimulus on perceived fear in both populations. Vipers appeared to be the most salient stimuli in both populations, as they occupied the highest positions according to the reported level of subjectively perceived fear. The position of vipers strongly contrasts with the fear ranking of deadly venomous elapids, which were in lower positions. Fear scores of vipers were significantly higher in both populations, and their best predictor was the body width of the snake. The evolutionary, cultural, and cognitive aspects of this phenomenon are discussed.
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Affiliation(s)
- Daniel Frynta
- Department of Zoology, Faculty of Science, Charles University, Prague, Czechia
| | - Hassan Sh Abdirahman Elmi
- Department of Zoology, Faculty of Science, Charles University, Prague, Czechia
- Department of Biology, Faculty of Education, Amoud University, Borama, Somalia
| | - Markéta Janovcová
- Department of Zoology, Faculty of Science, Charles University, Prague, Czechia
| | - Veronika Rudolfová
- Department of Zoology, Faculty of Science, Charles University, Prague, Czechia
| | - Iveta Štolhoferová
- Department of Zoology, Faculty of Science, Charles University, Prague, Czechia
| | - Kateřina Rexová
- Department of Zoology, Faculty of Science, Charles University, Prague, Czechia
| | - David Král
- Department of Zoology, Faculty of Science, Charles University, Prague, Czechia
| | - David Sommer
- Department of Zoology, Faculty of Science, Charles University, Prague, Czechia
| | - Daniel Alex Berti
- Department of Zoology, Faculty of Science, Charles University, Prague, Czechia
| | - Eva Landová
- Department of Zoology, Faculty of Science, Charles University, Prague, Czechia
| | - Petra Frýdlová
- Department of Zoology, Faculty of Science, Charles University, Prague, Czechia
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22
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Poyraz L, Colbran LL, Mathieson I. Predicting functional consequences of recent natural selection in Britain. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.16.562549. [PMID: 37904954 PMCID: PMC10614889 DOI: 10.1101/2023.10.16.562549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/02/2023]
Abstract
Ancient DNA can directly reveal the contribution of natural selection to human genomic variation. However, while the analysis of ancient DNA has been successful at identifying genomic signals of selection, inferring the phenotypic consequences of that selection has been more difficult. Most trait-associated variants are non-coding, so we expect that a large proportion of the phenotypic effects of selection will also act through non-coding variation. Since we cannot measure gene expression directly in ancient individuals, we used an approach (Joint-Tissue Imputation; JTI) developed to predict gene expression from genotype data. We tested for changes in the predicted expression of 17,384 protein coding genes over a time transect of 4500 years using 91 present-day and 616 ancient individuals from Britain. We identified 28 genes at seven genomic loci with significant (FDR < 0.05) changes in predicted expression levels in this time period. We compared the results from our transcriptome-wide scan to a genome-wide scan based on estimating per-SNP selection coefficients from time series data. At five previously identified loci, our approach allowed us to highlight small numbers of genes with evidence for significant shifts in expression from peaks that in some cases span tens of genes. At two novel loci (SLC44A5 and NUP85), we identify selection on gene expression not captured by scans based on genomic signatures of selection. Finally we show how classical selection statistics (iHS and SDS) can be combined with JTI models to incorporate functional information into scans that use present-day data alone. These results demonstrate the potential of this type of information to explore both the causes and consequences of natural selection.
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Affiliation(s)
- Lin Poyraz
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Computational Biology, Cornell University, Ithaca, NY, USA
| | - Laura L. Colbran
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Iain Mathieson
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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23
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Ryan-Despraz J, Villotte S, Desideri J, Besse M. Multivariate assessments of activity-related skeletal changes: Interpreting Bell Beaker specialized male archery and social organization in Central Europe. AMERICAN JOURNAL OF BIOLOGICAL ANTHROPOLOGY 2023; 182:237-263. [PMID: 37525512 DOI: 10.1002/ajpa.24817] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 07/06/2023] [Accepted: 07/09/2023] [Indexed: 08/02/2023]
Abstract
OBJECTIVES The Bell Beaker period witnessed the rise of individual inhumations with "wealthy" burial contexts containing archery-related grave goods, leading archaeologists to label the individuals in these tombs as "archers." This study looks to (1) compare the skeletons from male "archer" burials with those from male "non-archer" burials-those not having archery-related grave goods-in order to assess a possible link between burial context and physical activity, and (2) apply a biomechanics profile to evaluate whether the individuals associated with these "archer" burials practiced specialized archer activity. MATERIALS AND METHODS The corpus (males only) included 46 "archers" and 40 "non-archers" from Bell Beaker individual inhumations. Osteological data included measurements, scores of entheseal changes, and a diagnosis of certain pathologies. Data analyses involved visual observations, hypothesis tests, dimension reduction, and MANOVA, with approaches aimed at exploring the treatment of data missingness. RESULTS Measurement data revealed no differences between the two groups. Evaluations of entheseal changes found that "non-archers" had consistently more instances of bone surface modifications than "archers." Individual assessments of specialized archer occupation identified 11 possible specialized archers. DISCUSSION These findings indicate a possible labor differentiation represented through the presence of a probably prestigious "archer" burial context. This suggests a link between grave good presence and labor, but not between a Bell Beaker archery occupation and an "archer" burial context. Data analyses support the application of biomechanics to osteological analyses in order to assess specialized activity on the skeleton.
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Affiliation(s)
- J Ryan-Despraz
- Laboratory of Prehistoric Archaeology and Anthropology, Department F.-A. Forel for Environmental and Aquatic Sciences, University of Geneva, Geneva, Switzerland
| | - S Villotte
- UMR7206 Éco-Anthropologie, CNRS, MNHN, Université Paris Cité. Musée de l'Homme, Paris, France
- Quaternary environments & Humans, OD Earth and History of life, Royal Belgian Institute of Natural Sciences, Brussels, Belgium
- Unité de Recherches Art, Archéologie Patrimoine, Université de Liège, Liège, Belgium
| | - J Desideri
- Laboratory of Archaeology of Africa and Anthropology, Section of Biology, University of Geneva, Geneva, Switzerland
| | - M Besse
- Laboratory of Prehistoric Archaeology and Anthropology, Department F.-A. Forel for Environmental and Aquatic Sciences, University of Geneva, Geneva, Switzerland
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24
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Wang K, Prüfer K, Krause-Kyora B, Childebayeva A, Schuenemann VJ, Coia V, Maixner F, Zink A, Schiffels S, Krause J. High-coverage genome of the Tyrolean Iceman reveals unusually high Anatolian farmer ancestry. CELL GENOMICS 2023; 3:100377. [PMID: 37719142 PMCID: PMC10504632 DOI: 10.1016/j.xgen.2023.100377] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 05/10/2023] [Accepted: 07/13/2023] [Indexed: 09/19/2023]
Abstract
The Tyrolean Iceman is known as one of the oldest human glacier mummies, directly dated to 3350-3120 calibrated BCE. A previously published low-coverage genome provided novel insights into European prehistory, despite high present-day DNA contamination. Here, we generate a high-coverage genome with low contamination (15.3×) to gain further insights into the genetic history and phenotype of this individual. Contrary to previous studies, we found no detectable Steppe-related ancestry in the Iceman. Instead, he retained the highest Anatolian-farmer-related ancestry among contemporaneous European populations, indicating a rather isolated Alpine population with limited gene flow from hunter-gatherer-ancestry-related populations. Phenotypic analysis revealed that the Iceman likely had darker skin than present-day Europeans and carried risk alleles associated with male-pattern baldness, type 2 diabetes, and obesity-related metabolic syndrome. These results corroborate phenotypic observations of the preserved mummified body, such as high pigmentation of his skin and the absence of hair on his head.
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Affiliation(s)
- Ke Wang
- MOE Key Laboratory of Contemporary Anthropology, Department of Anthropology and Human Genetics, School of Life Science, Fudan University, Shanghai 200438, China
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- Center of Evolutionary Biology, School of Life Sciences, Fudan University, Shanghai 200438, China
| | - Kay Prüfer
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Ben Krause-Kyora
- Institute of Clinical Molecular Biology, Kiel University, 24118 Kiel, Germany
| | | | - Verena J. Schuenemann
- Department of Evolutionary Anthropology, University of Vienna, 1030 Vienna, Austria
- Institute of Evolutionary Medicine, University of Zurich, 8057 Zurich, Switzerland
- Human Evolution and Archaeological Sciences, University of Vienna, 1030 Vienna, Austria
| | - Valentina Coia
- Eurac Research - Institute for Mummy Studies, Viale Druso 1, 39100 Bolzano, Italy
| | - Frank Maixner
- Eurac Research - Institute for Mummy Studies, Viale Druso 1, 39100 Bolzano, Italy
| | - Albert Zink
- Eurac Research - Institute for Mummy Studies, Viale Druso 1, 39100 Bolzano, Italy
| | - Stephan Schiffels
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Johannes Krause
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
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25
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Gerber D, Szeifert B, Székely O, Egyed B, Gyuris B, Giblin JI, Horváth A, Köhler K, Kulcsár G, Kustár Á, Major I, Molnár M, Palcsu L, Szeverényi V, Fábián S, Mende BG, Bondár M, Ari E, Kiss V, Szécsényi-Nagy A. Interdisciplinary Analyses of Bronze Age Communities from Western Hungary Reveal Complex Population Histories. Mol Biol Evol 2023; 40:msad182. [PMID: 37562011 PMCID: PMC10473862 DOI: 10.1093/molbev/msad182] [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: 11/28/2022] [Revised: 07/04/2023] [Accepted: 08/07/2023] [Indexed: 08/12/2023] Open
Abstract
In this study, we report 21 ancient shotgun genomes from present-day Western Hungary, from previously understudied Late Copper Age Baden, and Bronze Age Somogyvár-Vinkovci, Kisapostag, and Encrusted Pottery archeological cultures (3,530-1,620 cal Bce). Our results indicate the presence of high steppe ancestry in the Somogyvár-Vinkovci culture. They were then replaced by the Kisapostag group, who exhibit an outstandingly high (up to ∼47%) Mesolithic hunter-gatherer ancestry, despite this component being thought to be highly diluted by the time of the Early Bronze Age. The Kisapostag population contributed the genetic basis for the succeeding community of the Encrusted Pottery culture. We also found an elevated hunter-gatherer component in a local Baden culture-associated individual, but no connections were proven to the Bronze Age individuals. The hunter-gatherer ancestry in Kisapostag is likely derived from two main sources, one from a Funnelbeaker or Globular Amphora culture-related population and one from a previously unrecognized source in Eastern Europe. We show that this ancestry not only appeared in various groups in Bronze Age Central Europe but also made contributions to Baltic populations. The social structure of Kisapostag and Encrusted Pottery cultures is patrilocal, similarly to most contemporaneous groups. Furthermore, we developed new methods and method standards for computational analyses of ancient DNA, implemented to our newly developed and freely available bioinformatic package. By analyzing clinical traits, we found carriers of aneuploidy and inheritable genetic diseases. Finally, based on genetic and anthropological data, we present here the first female facial reconstruction from the Bronze Age Carpathian Basin.
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Affiliation(s)
- Dániel Gerber
- Institute of Archaeogenomics, Research Centre for the Humanities, Eötvös Loránd Research Network (ELKH), Budapest, Hungary
- Department of Genetics, ELTE Eötvös Loránd University, Budapest, Hungary
- Doctoral School of Biology, Institute of Biology, ELTE Eötvös Loránd University, Budapest, Hungary
| | - Bea Szeifert
- Institute of Archaeogenomics, Research Centre for the Humanities, Eötvös Loránd Research Network (ELKH), Budapest, Hungary
- Department of Genetics, ELTE Eötvös Loránd University, Budapest, Hungary
- Doctoral School of Biology, Institute of Biology, ELTE Eötvös Loránd University, Budapest, Hungary
| | - Orsolya Székely
- Institute of Archaeogenomics, Research Centre for the Humanities, Eötvös Loránd Research Network (ELKH), Budapest, Hungary
| | - Balázs Egyed
- Department of Genetics, ELTE Eötvös Loránd University, Budapest, Hungary
| | - Balázs Gyuris
- Institute of Archaeogenomics, Research Centre for the Humanities, Eötvös Loránd Research Network (ELKH), Budapest, Hungary
- Department of Genetics, ELTE Eötvös Loránd University, Budapest, Hungary
- Doctoral School of Biology, Institute of Biology, ELTE Eötvös Loránd University, Budapest, Hungary
| | - Julia I Giblin
- Department of Sociology and Anthropology, Quinnipiac University, Hamden, CT, USA
| | - Anikó Horváth
- Isotope Climatology and Environmental Research (ICER) Centre, Institute for Nuclear Research, Debrecen, Hungary
| | - Kitti Köhler
- Institute of Archaeology, Research Centre for the Humanities, Eötvös Loránd Research Network (ELKH), Budapest, Hungary
| | - Gabriella Kulcsár
- Institute of Archaeology, Research Centre for the Humanities, Eötvös Loránd Research Network (ELKH), Budapest, Hungary
| | | | - István Major
- Isotope Climatology and Environmental Research (ICER) Centre, Institute for Nuclear Research, Debrecen, Hungary
| | - Mihály Molnár
- Isotope Climatology and Environmental Research (ICER) Centre, Institute for Nuclear Research, Debrecen, Hungary
| | - László Palcsu
- Isotope Climatology and Environmental Research (ICER) Centre, Institute for Nuclear Research, Debrecen, Hungary
| | | | | | - Balázs Gusztáv Mende
- Institute of Archaeogenomics, Research Centre for the Humanities, Eötvös Loránd Research Network (ELKH), Budapest, Hungary
| | - Mária Bondár
- Institute of Archaeology, Research Centre for the Humanities, Eötvös Loránd Research Network (ELKH), Budapest, Hungary
| | - Eszter Ari
- Department of Genetics, ELTE Eötvös Loránd University, Budapest, Hungary
- HCEMM-BRC Metabolic Systems Biology Lab, Szeged, Hungary
- Synthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Centre, Eötvös Loránd Research Network (ELKH), Szeged, Hungary
| | - Viktória Kiss
- Institute of Archaeology, Research Centre for the Humanities, Eötvös Loránd Research Network (ELKH), Budapest, Hungary
| | - Anna Szécsényi-Nagy
- Institute of Archaeogenomics, Research Centre for the Humanities, Eötvös Loránd Research Network (ELKH), Budapest, Hungary
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26
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Harney É, Micheletti S, Bruwelheide KS, Freyman WA, Bryc K, Akbari A, Jewett E, Comer E, Louis Gates H, Heywood L, Thornton J, Curry R, Ancona Esselmann S, Barca KG, Sedig J, Sirak K, Olalde I, Adamski N, Bernardos R, Broomandkhoshbacht N, Ferry M, Qiu L, Stewardson K, Workman JN, Zalzala F, Mallick S, Micco A, Mah M, Zhang Z, Rohland N, Mountain JL, Owsley DW, Reich D. The genetic legacy of African Americans from Catoctin Furnace. Science 2023; 381:eade4995. [PMID: 37535739 PMCID: PMC10958645 DOI: 10.1126/science.ade4995] [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: 08/22/2022] [Accepted: 06/20/2023] [Indexed: 08/05/2023]
Abstract
Few African Americans have been able to trace family lineages back to ancestors who died before the 1870 United States Census, the first in which all Black people were listed by name. We analyzed 27 individuals from Maryland's Catoctin Furnace African American Cemetery (1774-1850), identifying 41,799 genetic relatives among consenting research participants in 23andMe, Inc.'s genetic database. One of the highest concentrations of close relatives is in Maryland, suggesting that descendants of the Catoctin individuals remain in the area. We find that many of the Catoctin individuals derived African ancestry from the Wolof or Kongo groups and European ancestry from Great Britain and Ireland. This study demonstrates the power of joint analysis of historical DNA and large datasets generated through direct-to-consumer ancestry testing.
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Affiliation(s)
- Éadaoin Harney
- 23andMe, Inc.; Sunnyvale, CA 94043, USA
- Department of Human Evolutionary Biology, Harvard University; Cambridge, MA, 02138, USA
| | | | - Karin S. Bruwelheide
- Department of Anthropology, National Museum of Natural History, Smithsonian Institution; Washington DC 20560, USA
| | | | | | - Ali Akbari
- Department of Human Evolutionary Biology, Harvard University; Cambridge, MA, 02138, USA
- Department of Genetics, Harvard Medical School; Boston, MA, 02115, USA
| | | | - Elizabeth Comer
- Catoctin Furnace Historical Society; Thurmont, MD, 21788, USA
| | - Henry Louis Gates
- Hutchins Center for African and African American Research, Harvard University; Cambridge, MA 02138, USA
| | - Linda Heywood
- Department of History/African American Studies, Boston University; Brookline, MA 02446, USA
| | - John Thornton
- Department of History/African American Studies, Boston University; Brookline, MA 02446, USA
| | - Roslyn Curry
- 23andMe, Inc.; Sunnyvale, CA 94043, USA
- Department of Human Evolutionary Biology, Harvard University; Cambridge, MA, 02138, USA
| | | | - Kathryn G. Barca
- Department of Anthropology, National Museum of Natural History, Smithsonian Institution; Washington DC 20560, USA
| | - Jakob Sedig
- Department of Human Evolutionary Biology, Harvard University; Cambridge, MA, 02138, USA
- Department of Genetics, Harvard Medical School; Boston, MA, 02115, USA
| | - Kendra Sirak
- Department of Human Evolutionary Biology, Harvard University; Cambridge, MA, 02138, USA
- Department of Genetics, Harvard Medical School; Boston, MA, 02115, USA
| | - Iñigo Olalde
- Department of Human Evolutionary Biology, Harvard University; Cambridge, MA, 02138, USA
- BIOMICs Research Group, Department of Zoology and Animal Cell Biology, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
- Ikerbasque—Basque Foundation of Science, Bilbao, Spain
| | - Nicole Adamski
- Department of Genetics, Harvard Medical School; Boston, MA, 02115, USA
- Howard Hughes Medical Institute, Harvard Medical School; Boston, MA, 02115, USA
| | - Rebecca Bernardos
- Department of Genetics, Harvard Medical School; Boston, MA, 02115, USA
- Howard Hughes Medical Institute, Harvard Medical School; Boston, MA, 02115, USA
| | - Nasreen Broomandkhoshbacht
- Department of Genetics, Harvard Medical School; Boston, MA, 02115, USA
- Howard Hughes Medical Institute, Harvard Medical School; Boston, MA, 02115, USA
| | - Matthew Ferry
- Department of Genetics, Harvard Medical School; Boston, MA, 02115, USA
- Howard Hughes Medical Institute, Harvard Medical School; Boston, MA, 02115, USA
| | - Lijun Qiu
- Department of Genetics, Harvard Medical School; Boston, MA, 02115, USA
- Howard Hughes Medical Institute, Harvard Medical School; Boston, MA, 02115, USA
| | - Kristin Stewardson
- Department of Genetics, Harvard Medical School; Boston, MA, 02115, USA
- Howard Hughes Medical Institute, Harvard Medical School; Boston, MA, 02115, USA
| | - J. Noah Workman
- Department of Genetics, Harvard Medical School; Boston, MA, 02115, USA
- Howard Hughes Medical Institute, Harvard Medical School; Boston, MA, 02115, USA
| | - Fatma Zalzala
- Department of Genetics, Harvard Medical School; Boston, MA, 02115, USA
- Howard Hughes Medical Institute, Harvard Medical School; Boston, MA, 02115, USA
| | - Shop Mallick
- Department of Genetics, Harvard Medical School; Boston, MA, 02115, USA
- Howard Hughes Medical Institute, Harvard Medical School; Boston, MA, 02115, USA
- Broad Institute of MIT and Harvard; Cambridge, MA, 02142, USA
| | - Adam Micco
- Department of Genetics, Harvard Medical School; Boston, MA, 02115, USA
- Broad Institute of MIT and Harvard; Cambridge, MA, 02142, USA
| | - Matthew Mah
- Department of Genetics, Harvard Medical School; Boston, MA, 02115, USA
- Howard Hughes Medical Institute, Harvard Medical School; Boston, MA, 02115, USA
- Broad Institute of MIT and Harvard; Cambridge, MA, 02142, USA
| | - Zhao Zhang
- Department of Genetics, Harvard Medical School; Boston, MA, 02115, USA
| | | | - Nadin Rohland
- Department of Genetics, Harvard Medical School; Boston, MA, 02115, USA
| | | | - Douglas W. Owsley
- Department of Anthropology, National Museum of Natural History, Smithsonian Institution; Washington DC 20560, USA
| | - David Reich
- Department of Human Evolutionary Biology, Harvard University; Cambridge, MA, 02138, USA
- Department of Genetics, Harvard Medical School; Boston, MA, 02115, USA
- Howard Hughes Medical Institute, Harvard Medical School; Boston, MA, 02115, USA
- Broad Institute of MIT and Harvard; Cambridge, MA, 02142, USA
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27
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Penske S, Rohrlach AB, Childebayeva A, Gnecchi-Ruscone G, Schmid C, Spyrou MA, Neumann GU, Atanassova N, Beutler K, Boyadzhiev K, Boyadzhiev Y, Bruyako I, Chohadzhiev A, Govedarica B, Karaucak M, Krauss R, Leppek M, Manzura I, Privat K, Ross S, Slavchev V, Sobotkova A, Toderaş M, Valchev T, Ringbauer H, Stockhammer PW, Hansen S, Krause J, Haak W. Early contact between late farming and pastoralist societies in southeastern Europe. Nature 2023; 620:358-365. [PMID: 37468624 PMCID: PMC10412445 DOI: 10.1038/s41586-023-06334-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Accepted: 06/16/2023] [Indexed: 07/21/2023]
Abstract
Archaeogenetic studies have described two main genetic turnover events in prehistoric western Eurasia: one associated with the spread of farming and a sedentary lifestyle starting around 7000-6000 BC (refs. 1-3) and a second with the expansion of pastoralist groups from the Eurasian steppes starting around 3300 BC (refs. 4,5). The period between these events saw new economies emerging on the basis of key innovations, including metallurgy, wheel and wagon and horse domestication6-9. However, what happened between the demise of the Copper Age settlements around 4250 BC and the expansion of pastoralists remains poorly understood. To address this question, we analysed genome-wide data from 135 ancient individuals from the contact zone between southeastern Europe and the northwestern Black Sea region spanning this critical time period. While we observe genetic continuity between Neolithic and Copper Age groups from major sites in the same region, from around 4500 BC on, groups from the northwestern Black Sea region carried varying amounts of mixed ancestries derived from Copper Age groups and those from the forest/steppe zones, indicating genetic and cultural contact over a period of around 1,000 years earlier than anticipated. We propose that the transfer of critical innovations between farmers and transitional foragers/herders from different ecogeographic zones during this early contact was integral to the formation, rise and expansion of pastoralist groups around 3300 BC.
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Affiliation(s)
- Sandra Penske
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.
| | - Adam B Rohrlach
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- School of Computer and Mathematical Sciences, University of Adelaide, Adelaide, South Australia, Australia
| | - Ainash Childebayeva
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Guido Gnecchi-Ruscone
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Clemens Schmid
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Maria A Spyrou
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- Institute for Archaeological Sciences, Eberhard Karls University of Tübingen, Tübingen, Germany
| | - Gunnar U Neumann
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Nadezhda Atanassova
- Institute of Experimental Morphology, Pathology and Anthropology with Museum, Bulgarian Academy of Sciences, Sofia, Bulgaria
| | - Katrin Beutler
- Eurasia Department, German Archaeological Institute, Berlin, Germany
| | - Kamen Boyadzhiev
- National Archaeological Institute with Museum at the Bulgarian Academy of Sciences, Sofia, Bulgaria
| | - Yavor Boyadzhiev
- National Archaeological Institute with Museum at the Bulgarian Academy of Sciences, Sofia, Bulgaria
| | | | | | | | - Mehmet Karaucak
- Eurasia Department, German Archaeological Institute, Berlin, Germany
| | - Raiko Krauss
- Institute for Prehistory, Early History and Medieval Archaeology, Tübingen, Germany
| | - Maleen Leppek
- Institute for Pre- and Protohistoric Archaeology and Archaeology of the Roman Provinces, Ludwig Maximilian University Munich, Munich, Germany
| | - Igor Manzura
- National Museum of History of Moldova, Chişinău, Republic of Moldova
| | - Karen Privat
- Electron Microscope Unit, Mark Wainwright Analytical Centre, University of New South Wales, Sydney, New South Wales, Australia
- Earth and Sustainability Science Research Centre, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Shawn Ross
- Department of History and Archaeology, Macquarie University, Sydney, New South Wales, Australia
| | | | | | - Meda Toderaş
- Institutul de Arheologie "Vasile Pârvan" Academia Română, Bucharest, Romania
| | | | - Harald Ringbauer
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Philipp W Stockhammer
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- Institute for Pre- and Protohistoric Archaeology and Archaeology of the Roman Provinces, Ludwig Maximilian University Munich, Munich, Germany
| | - Svend Hansen
- Eurasia Department, German Archaeological Institute, Berlin, Germany
| | - Johannes Krause
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Wolfgang Haak
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.
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28
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Chyleński M, Makarowicz P, Juras A, Krzewińska M, Pospieszny Ł, Ehler E, Breszka A, Górski J, Taras H, Szczepanek A, Polańska M, Włodarczak P, Lasota-Kuś A, Wójcik I, Romaniszyn J, Szmyt M, Kośko A, Ignaczak M, Sadowski S, Matoga A, Grossman A, Ilchyshyn V, Yahodinska MO, Romańska A, Tunia K, Przybyła M, Grygiel R, Szostek K, Dabert M, Götherström A, Jakobsson M, Malmström H. Patrilocality and hunter-gatherer-related ancestry of populations in East-Central Europe during the Middle Bronze Age. Nat Commun 2023; 14:4395. [PMID: 37528090 PMCID: PMC10393988 DOI: 10.1038/s41467-023-40072-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 07/07/2023] [Indexed: 08/03/2023] Open
Abstract
The demographic history of East-Central Europe after the Neolithic period remains poorly explored, despite this region being on the confluence of various ecological zones and cultural entities. Here, the descendants of societies associated with steppe pastoralists form Early Bronze Age were followed by Middle Bronze Age populations displaying unique characteristics. Particularly, the predominance of collective burials, the scale of which, was previously seen only in the Neolithic. The extent to which this re-emergence of older traditions is a result of genetic shift or social changes in the MBA is a subject of debate. Here by analysing 91 newly generated genomes from Bronze Age individuals from present Poland and Ukraine, we discovered that Middle Bronze Age populations were formed by an additional admixture event involving a population with relatively high proportions of genetic component associated with European hunter-gatherers and that their social structure was based on, primarily patrilocal, multigenerational kin-groups.
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Affiliation(s)
- Maciej Chyleński
- Institute of Human Biology and Evolution, Faculty of Biology, Adam Mickiewicz University in Poznań, Uniwersytetu Poznańskiego 6, 61-614, Poznań, Poland.
| | - Przemysław Makarowicz
- Faculty of Archaeology, Adam Mickiewicz University in Poznań, Uniwersytetu Poznańskiego 7, 61- 614, Poznań, Poland
| | - Anna Juras
- Institute of Human Biology and Evolution, Faculty of Biology, Adam Mickiewicz University in Poznań, Uniwersytetu Poznańskiego 6, 61-614, Poznań, Poland.
| | - Maja Krzewińska
- Archaeological Research Laboratory, Department of Archaeology and Classical Studies, Stockholm University, Lilla Frescativägen 7, SE-106 91, Stockholm, Sweden
- Centre for Palaeogentics, Svante Arrhenius väg 20C, SE-106 91, Stockholm, Sweden
| | - Łukasz Pospieszny
- Institute of Archaeology, University of Gdańsk, ul. Bielańska 5, 80-851, Gdańsk, Poland
- Department of Anthropology and Archaeology, University of Bristol, 43 Woodland Road, Bristol, BS8 1UU, UK
| | - Edvard Ehler
- Laboratory of Genomics and Bioinformatics, Institute of Molecular Genetics of the Czech Academy of Sciences, Vídeňská 1083, 142 20 Prague 4, Prague, Czech Republic
| | - Agnieszka Breszka
- Institute of Human Biology and Evolution, Faculty of Biology, Adam Mickiewicz University in Poznań, Uniwersytetu Poznańskiego 6, 61-614, Poznań, Poland
| | - Jacek Górski
- Department of History and Cultural Heritage, University of Pope Jan Paweł II, Kanonicza 9, 31-002, Cracow, Poland
- Archaeological Museum in Cracow, Senacka 3, 31-002, Cracow, Poland
| | - Halina Taras
- Institute of Archaeology, Maria Curie-Skłodowska University, M.C.-Skłodowska sq. 4, 20-031, Lublin, Poland
| | - Anita Szczepanek
- Institute of Archaeology and Ethnology, Polish Academy of Science, Sławkowska 17, 31-016, Cracow, Poland
| | - Marta Polańska
- Department of Material and Spiritual Culture, Lublin Museum, Zamkowa 9, 20-117, Lublin, Poland
| | - Piotr Włodarczak
- Institute of Archaeology and Ethnology, Polish Academy of Science, Sławkowska 17, 31-016, Cracow, Poland
| | - Anna Lasota-Kuś
- Institute of Archaeology and Ethnology, Polish Academy of Science, Sławkowska 17, 31-016, Cracow, Poland
| | - Irena Wójcik
- Archaeological Museum in Cracow, Senacka 3, 31-002, Cracow, Poland
| | - Jan Romaniszyn
- Faculty of Archaeology, Adam Mickiewicz University in Poznań, Uniwersytetu Poznańskiego 7, 61- 614, Poznań, Poland
| | - Marzena Szmyt
- Faculty of Archaeology, Adam Mickiewicz University in Poznań, Uniwersytetu Poznańskiego 7, 61- 614, Poznań, Poland
- Archaeological Museum in Poznań, Wodna 27, 61-781, Poznań, Poland
| | - Aleksander Kośko
- Faculty of Archaeology, Adam Mickiewicz University in Poznań, Uniwersytetu Poznańskiego 7, 61- 614, Poznań, Poland
| | - Marcin Ignaczak
- Faculty of Archaeology, Adam Mickiewicz University in Poznań, Uniwersytetu Poznańskiego 7, 61- 614, Poznań, Poland
| | - Sylwester Sadowski
- Institute of Archaeology, Maria Curie-Skłodowska University, M.C.-Skłodowska sq. 4, 20-031, Lublin, Poland
| | - Andrzej Matoga
- Archaeological Museum in Cracow, Senacka 3, 31-002, Cracow, Poland
| | - Anna Grossman
- Muzeum Archeologiczne w Biskupinie, Biskupin 17, 88-410, Gąsawa, Poland
| | - Vasyl Ilchyshyn
- Zaliztsi Museum of Local Lore, Schevchenka 51, Zalizhtsi, 47243, Ternopil reg, Ukraine
| | - Maryna O Yahodinska
- Ternopil Regional Center for Protection and Research of Cultural Heritage Sites, Kyyivs'ka 3а, 46016, Ternopil, Ukraine
| | - Adriana Romańska
- Wojewódzki Urząd Ochrony Zabytków, Gołębia 2, 61-840, Poznań, Poland
| | - Krzysztof Tunia
- Institute of Archaeology and Ethnology, Polish Academy of Science, Sławkowska 17, 31-016, Cracow, Poland
| | - Marcin Przybyła
- Archaeological company "Dolmen Marcin Przybyła, Michał Podsiadło s.c.", Serkowskiego Sq. 8/3, 30-512, Cracow, Poland
| | - Ryszard Grygiel
- Museum of Archaeology and Ethnography in Łódź, Plac Wolności 14, 91-415, Łódź, Poland
| | - Krzysztof Szostek
- Institute of Biological Sciences, Cardinal Stefan Wyszynski University in Warsaw, Wóycickiego 1/3, 01-938, Warsaw, Poland
| | - Miroslawa Dabert
- Molecular Biology Techniques Laboratory, Faculty of Biology, Adam Mickiewicz University in Poznań, Uniwersytetu Poznańskiego 6, 61-614, Poznań, Poland
| | - Anders Götherström
- Archaeological Research Laboratory, Department of Archaeology and Classical Studies, Stockholm University, Lilla Frescativägen 7, SE-106 91, Stockholm, Sweden
- Centre for Palaeogentics, Svante Arrhenius väg 20C, SE-106 91, Stockholm, Sweden
| | - Mattias Jakobsson
- Human Evolution, Department of Organismal Biology, Uppsala University, Norbyvägen 18C, SE-752 36, Uppsala, Sweden
- Centre for Anthropological Research, University of Johannesburg, Auckland Park, 2006, Johannesburg, South Africa
- SciLifeLab, Stockholm and Uppsala, Sweden
| | - Helena Malmström
- Human Evolution, Department of Organismal Biology, Uppsala University, Norbyvägen 18C, SE-752 36, Uppsala, Sweden.
- Centre for Anthropological Research, University of Johannesburg, Auckland Park, 2006, Johannesburg, South Africa.
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29
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Heggarty P, Anderson C, Scarborough M, King B, Bouckaert R, Jocz L, Kümmel MJ, Jügel T, Irslinger B, Pooth R, Liljegren H, Strand RF, Haig G, Macák M, Kim RI, Anonby E, Pronk T, Belyaev O, Dewey-Findell TK, Boutilier M, Freiberg C, Tegethoff R, Serangeli M, Liosis N, Stroński K, Schulte K, Gupta GK, Haak W, Krause J, Atkinson QD, Greenhill SJ, Kühnert D, Gray RD. Language trees with sampled ancestors support a hybrid model for the origin of Indo-European languages. Science 2023; 381:eabg0818. [PMID: 37499002 DOI: 10.1126/science.abg0818] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Accepted: 06/08/2023] [Indexed: 07/29/2023]
Abstract
The origins of the Indo-European language family are hotly disputed. Bayesian phylogenetic analyses of core vocabulary have produced conflicting results, with some supporting a farming expansion out of Anatolia ~9000 years before present (yr B.P.), while others support a spread with horse-based pastoralism out of the Pontic-Caspian Steppe ~6000 yr B.P. Here we present an extensive database of Indo-European core vocabulary that eliminates past inconsistencies in cognate coding. Ancestry-enabled phylogenetic analysis of this dataset indicates that few ancient languages are direct ancestors of modern clades and produces a root age of ~8120 yr B.P. for the family. Although this date is not consistent with the Steppe hypothesis, it does not rule out an initial homeland south of the Caucasus, with a subsequent branch northward onto the steppe and then across Europe. We reconcile this hybrid hypothesis with recently published ancient DNA evidence from the steppe and the northern Fertile Crescent.
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Affiliation(s)
- Paul Heggarty
- Departamento de Humanidades, Pontificia Universidad Católica del Perú, 15088 Lima, Peru
- Waves Group, Department of Human Behavior, Ecology and Culture, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany
- Department of Linguistic and Cultural Evolution, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany
| | - Cormac Anderson
- Department of Linguistic and Cultural Evolution, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany
| | - Matthew Scarborough
- Department of Linguistic and Cultural Evolution, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany
- Department of Nordic Studies and Linguistics, University of Copenhagen, S 2300 København, Denmark
| | - Benedict King
- Department of Linguistic and Cultural Evolution, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany
| | - Remco Bouckaert
- Centre for Computational Evolution, University of Auckland, Auckland 1010, New Zealand
| | - Lechosław Jocz
- Faculty of Humanities, Jacob of Paradies University, 66-400 Gorzów Wielkopolski, Poland
| | - Martin Joachim Kümmel
- Seminar for Indo-European Studies, Institut für Orientalistik, Indogermanistik, Ur- und Frühgeschichtliche Archäologie, Friedrich-Schiller-Universität Jena, 07743 Jena, Germany
| | - Thomas Jügel
- Center for Religious Studies (CERES), Ruhr University Bochum, 44789 Bochum, Germany
| | - Britta Irslinger
- Saxon Academy of Sciences and Humanities, 04107 Leipzig, Germany
| | - Roland Pooth
- Department of Linguistics, Ghent University, 9000 Ghent, Belgium
| | - Henrik Liljegren
- Department of Linguistics, Stockholm University, 10691 Stockholm, Sweden
| | | | - Geoffrey Haig
- Department of General Linguistics, University of Bamberg, 96047 Bamberg, Germany
| | | | - Ronald I Kim
- Department of Older Germanic Languages, Faculty of English, Adam Mickiewicz University in Poznań, 60-780 Poznań, Poland
| | - Erik Anonby
- School of Linguistics and Language Studies, Carleton University, Ottawa, ON K1S 5B6, Canada
- Leiden University Centre for Linguistics, 2300 RA Leiden, Netherlands
| | - Tijmen Pronk
- Leiden University Centre for Linguistics, 2300 RA Leiden, Netherlands
| | - Oleg Belyaev
- Department of Theoretical and Applied Linguistics, Lomonosov Moscow State University, 119991 GSP-1 Moscow, Russia
- Department of Iranian Languages, Institute of Linguistics RAS, Moscow 125009, Russia
| | - Tonya Kim Dewey-Findell
- Centre for the Study of the Viking Age, School of English, University of Nottingham NG7 2RD, UK
| | - Matthew Boutilier
- Department of German, Nordic, and Slavic, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Cassandra Freiberg
- Institut für deutsche Sprache und Linguistik, Sprach- und literaturwissenschaftliche Fakultät, Humboldt-Universität zu Berlin, 10099 Berlin, Germany
| | - Robert Tegethoff
- Department of Linguistic and Cultural Evolution, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany
- Seminar for Indo-European Studies, Institut für Orientalistik, Indogermanistik, Ur- und Frühgeschichtliche Archäologie, Friedrich-Schiller-Universität Jena, 07743 Jena, Germany
| | - Matilde Serangeli
- Seminar for Indo-European Studies, Institut für Orientalistik, Indogermanistik, Ur- und Frühgeschichtliche Archäologie, Friedrich-Schiller-Universität Jena, 07743 Jena, Germany
| | - Nikos Liosis
- Institute of Modern Greek Studies, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | - Krzysztof Stroński
- Faculty of Modern Languages, Adam Mickiewicz University in Poznań, 61-874 Poznań, Poland
| | - Kim Schulte
- Department of Translation and Communication, Jaume I University, 12006 Castelló de la Plana, Spain
| | - Ganesh Kumar Gupta
- Faculty of Modern Languages, Adam Mickiewicz University in Poznań, 61-874 Poznań, Poland
| | - Wolfgang Haak
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany
| | - Johannes Krause
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany
| | - Quentin D Atkinson
- School of Psychology, University of Auckland, Auckland 1010, New Zealand
- Centre for the Study of Social Cohesion, University of Oxford, Oxford OX2 6PN, UK
| | - Simon J Greenhill
- Department of Linguistic and Cultural Evolution, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany
- ARC Center of Excellence for the Dynamics of Language, ANU College of Asia and the Pacific, The Australian National University, Canberra, ACT 2600, Australia
| | - Denise Kühnert
- Transmission, Infection, Diversification and Evolution Group, Max Planck Institute of Geoanthropology, 07745 Jena, Germany
| | - Russell D Gray
- Department of Linguistic and Cultural Evolution, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany
- School of Psychology, University of Auckland, Auckland 1010, New Zealand
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30
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Kondor D, Bennett JS, Gronenborn D, Antunes N, Hoyer D, Turchin P. Explaining population booms and busts in Mid-Holocene Europe. Sci Rep 2023; 13:9310. [PMID: 37291136 PMCID: PMC10250413 DOI: 10.1038/s41598-023-35920-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 05/25/2023] [Indexed: 06/10/2023] Open
Abstract
Archaeological evidence suggests that the population dynamics of Mid-Holocene (Late Mesolithic to Initial Bronze Age, ca. 7000-3000 BCE) Europe are characterized by recurrent booms and busts of regional settlement and occupation density. These boom-bust patterns are documented in the temporal distribution of 14C dates and in archaeological settlement data from regional studies. We test two competing hypotheses attempting to explain these dynamics: climate forcing and social dynamics leading to inter-group conflict. Using the framework of spatially-explicit agent-based models, we translated these hypotheses into a suite of explicit computational models, derived quantitative predictions for population fluctuations, and compared these predictions to data. We demonstrate that climate variation during the European Mid-Holocene is unable to explain the quantitative features (average periodicities and amplitudes) of observed boom-bust dynamics. In contrast, scenarios with social dynamics encompassing density-dependent conflict produce population patterns with time scales and amplitudes similar to those observed in the data. These results suggest that social processes, including violent conflict, played a crucial role in the shaping of population dynamics of European Mid-Holocene societies.
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Affiliation(s)
| | | | | | | | - Daniel Hoyer
- Evolution Institute, Tampa, FL, USA
- George Brown College, Toronto, Canada
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31
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Bľandová G, Patlevičová A, Palkovičová J, Pavlíková Š, Beňuš R, Repiská V, Baldovič M. Pilot study of correlation of selected genetic factors with cribra orbitalia in individuals from a medieval population from Slovakia. INTERNATIONAL JOURNAL OF PALEOPATHOLOGY 2023; 41:1-7. [PMID: 36812666 DOI: 10.1016/j.ijpp.2023.02.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 01/30/2023] [Accepted: 02/06/2023] [Indexed: 06/12/2023]
Abstract
OBJECTIVE The aim of this study is to investigate the potential genetic etiology of cribra orbitalia noted on human skeletal remains. MATERIALS We obtained and analyzed ancient DNA of 43 individuals with cribra orbitalia. The analyzed set represented medieval individuals from two cemeteries in western Slovakia, Castle Devín (11th-12th century AD) and Cífer-Pác (8th-9th century AD). METHODS We performed a sequence analysis of 5 variants in 3 genes associated with anemia (HBB, G6PD, PKLR), which are the most common pathogenic variants in present day of European populations, and one variant MCM6:c.1917 + 326 C>T (rs4988235) associated with lactose intolerance. RESULTS DNA variants associated with anemia were not found in the samples. The allele frequency of MCM6:c.1917 + 326 C was 0.875. This frequency is higher but not statistically significant in individuals displaying cribra orbitalia compared to individuals without the lesion. SIGNIFICANCE This study seeks to expand our knowledge of the etiology of cribra orbitalia by exploring the potential association between the lesion and the presence of alleles linked to hereditary anemias and lactose intolerance. LIMITATIONS A relatively small set of individuals were analyzed, so an unequivocal conclusion cannot be drawn. Hence, although it is unlikely, a genetic form of anemia caused by rare variants cannot be ruled out. SUGGESTIONS FOR FURTHER RESEARCH Genetic research based on larger sample sizes and in more diverse geographical regions.
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Affiliation(s)
- Gabriela Bľandová
- Institute of Medical Biology, Genetics and Clinical Genetics, Faculty of Medicine, Comenius University, Sasinkova 4, 811 08 Bratislava, Slovakia
| | - Andrea Patlevičová
- Department of Biology, Faculty of Natural Sciences, University of Ss. Cyril and Methodius, Nám. J. Herdu 2, 917 01 Trnava, Slovakia
| | - Jana Palkovičová
- Department of Molecular Biology, Faculty of Natural Sciences, Comenius University, Ilkovičova 6, 842 15 Bratislava, Slovakia
| | - Štefánia Pavlíková
- Department of Anthropology, Faculty of Natural Sciences, Comenius University, Ilkovičova 6, 842 15 Bratislava, Slovakia
| | - Radoslav Beňuš
- Department of Anthropology, Faculty of Natural Sciences, Comenius University, Ilkovičova 6, 842 15 Bratislava, Slovakia
| | - Vanda Repiská
- Institute of Medical Biology, Genetics and Clinical Genetics, Faculty of Medicine, Comenius University, Sasinkova 4, 811 08 Bratislava, Slovakia
| | - Marian Baldovič
- Department of Molecular Biology, Faculty of Natural Sciences, Comenius University, Ilkovičova 6, 842 15 Bratislava, Slovakia; Laboratory of Genomic Medicine, GHC GENETICS SK, Science Park Comenius University, Ilkovičova 8, 841 04 Bratislava, Slovakia.
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32
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Swali P, Schulting R, Gilardet A, Kelly M, Anastasiadou K, Glocke I, McCabe J, Williams M, Audsley T, Loe L, Fernández-Crespo T, Ordoño J, Walker D, Clare T, Cook G, Hodkinson I, Simpson M, Read S, Davy T, Silva M, Hajdinjak M, Bergström A, Booth T, Skoglund P. Yersinia pestis genomes reveal plague in Britain 4000 years ago. Nat Commun 2023; 14:2930. [PMID: 37253742 DOI: 10.1038/s41467-023-38393-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 04/28/2023] [Indexed: 06/01/2023] Open
Abstract
Extinct lineages of Yersinia pestis, the causative agent of the plague, have been identified in several individuals from Eurasia between 5000 and 2500 years before present (BP). One of these, termed the 'LNBA lineage' (Late Neolithic and Bronze Age), has been suggested to have spread into Europe with human groups expanding from the Eurasian steppe. Here, we show that the LNBA plague was spread to Europe's northwestern periphery by sequencing three Yersinia pestis genomes from Britain, all dating to ~4000 cal BP. Two individuals were from an unusual mass burial context in Charterhouse Warren, Somerset, and one individual was from a single burial under a ring cairn monument in Levens, Cumbria. To our knowledge, this represents the earliest evidence of LNBA plague in Britain documented to date. All three British Yersinia pestis genomes belong to a sublineage previously observed in Bronze Age individuals from Central Europe that had lost the putative virulence factor yapC. This sublineage is later found in Eastern Asia ~3200 cal BP. While the severity of the disease is currently unclear, the wide geographic distribution within a few centuries suggests substantial transmissibility.
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Affiliation(s)
- Pooja Swali
- Ancient Genomics Laboratory, Francis Crick Institute, London, UK.
| | | | | | - Monica Kelly
- Ancient Genomics Laboratory, Francis Crick Institute, London, UK
| | | | - Isabelle Glocke
- Ancient Genomics Laboratory, Francis Crick Institute, London, UK
| | - Jesse McCabe
- Ancient Genomics Laboratory, Francis Crick Institute, London, UK
| | - Mia Williams
- Ancient Genomics Laboratory, Francis Crick Institute, London, UK
| | | | - Louise Loe
- Oxford Archaeology, Osney Mead, Oxford, UK
| | - Teresa Fernández-Crespo
- School of Archaeology, University of Oxford, Oxford, UK
- Laboratoire Méditerranéen de Préhistoire Europe Afrique-UMR 7269, Centre National de la Recherche Scientifique, Aix-Marseille Université, Marseille, France
- Departamento de Prehistoria, Arqueología, Antropología Social y Ciencias y Técnicas Historiográficas, Universidad de Valladolid, Valladolid, Spain
| | - Javier Ordoño
- Department of Archaeology and New Technologies, Arkikus, Spain
| | | | - Tom Clare
- Levens Local History Group, Levens, Cumbria, UK
| | - Geoff Cook
- Levens Local History Group, Levens, Cumbria, UK
| | - Ian Hodkinson
- School of Biological and Environmental Sciences, Liverpool John Moores University, Liverpool, UK
| | | | | | - Tom Davy
- Ancient Genomics Laboratory, Francis Crick Institute, London, UK
| | - Marina Silva
- Ancient Genomics Laboratory, Francis Crick Institute, London, UK
| | - Mateja Hajdinjak
- Ancient Genomics Laboratory, Francis Crick Institute, London, UK
- Department of Evolutionary Genetics and Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Anders Bergström
- Ancient Genomics Laboratory, Francis Crick Institute, London, UK
- School of Biological Sciences, University of East Anglia, Norwich, UK
| | - Thomas Booth
- Ancient Genomics Laboratory, Francis Crick Institute, London, UK.
| | - Pontus Skoglund
- Ancient Genomics Laboratory, Francis Crick Institute, London, UK.
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33
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Marcus J, Cetin E. Genetic predictors of cultural values variation between societies. Sci Rep 2023; 13:7986. [PMID: 37198209 DOI: 10.1038/s41598-023-34845-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Accepted: 05/09/2023] [Indexed: 05/19/2023] Open
Abstract
Associations between the STin2 and 5-HTTLPR polymorphisms within the serotonin transporter gene, SLC6A4, and culture across societies were examined. Based on an analysis of 75 primary studies (28,726 individuals), STin2 allelic frequencies were found to vary widely across countries, ranging from 26% in Germany to 85% in Singapore. Across 53 countries, and after controlling for all major environmental influences of culture, STin2 and 5-HTTLPR were found to explain 23.6% unique variance in monumentalism but none in individualism. Our findings evidence a significant role of genetics in predicting cross-societal cultural values variation, and potentially speak to the need for and importance of incorporating both nature and nurture in theories of cultural values variation across societies.
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Affiliation(s)
- Justin Marcus
- College of Administrative Sciences and Economics, Koç University, Rumelifeneri Mah., Rumelifeneri Yolu, Sariyer, 34450, Istanbul, Turkey.
| | - Ecesu Cetin
- College of Administrative Sciences and Economics, Koç University, Rumelifeneri Mah., Rumelifeneri Yolu, Sariyer, 34450, Istanbul, Turkey
- School of Medicine, Koç University, Istanbul, Turkey
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34
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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] [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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35
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Jackson A, Lin SJ, Jones EA, Chandler KE, Orr D, Moss C, Haider Z, Ryan G, Holden S, Harrison M, Burrows N, Jones WD, Loveless M, Petree C, Stewart H, Low K, Donnelly D, Lovell S, Drosou K, Varshney GK, Banka S. Clinical, genetic, epidemiologic, evolutionary, and functional delineation of TSPEAR-related autosomal recessive ectodermal dysplasia 14. HGG ADVANCES 2023; 4:100186. [PMID: 37009414 PMCID: PMC10064225 DOI: 10.1016/j.xhgg.2023.100186] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Accepted: 02/27/2023] [Indexed: 06/11/2023] Open
Abstract
TSPEAR variants cause autosomal recessive ectodermal dysplasia (ARED) 14. The function of TSPEAR is unknown. The clinical features, the mutation spectrum, and the underlying mechanisms of ARED14 are poorly understood. Combining data from new and previously published individuals established that ARED14 is primarily characterized by dental anomalies such as conical tooth cusps and hypodontia, like those seen in individuals with WNT10A-related odontoonychodermal dysplasia. AlphaFold-predicted structure-based analysis showed that most of the pathogenic TSPEAR missense variants likely destabilize the β-propeller of the protein. Analysis of 100000 Genomes Project (100KGP) data revealed multiple founder TSPEAR variants across different populations. Mutational and recombination clock analyses demonstrated that non-Finnish European founder variants likely originated around the end of the last ice age, a period of major climatic transition. Analysis of gnomAD data showed that the non-Finnish European population TSPEAR gene-carrier rate is ∼1/140, making it one of the commonest AREDs. Phylogenetic and AlphaFold structural analyses showed that TSPEAR is an ortholog of drosophila Closca, an extracellular matrix-dependent signaling regulator. We, therefore, hypothesized that TSPEAR could have a role in enamel knot, a structure that coordinates patterning of developing tooth cusps. Analysis of mouse single-cell RNA sequencing (scRNA-seq) data revealed highly restricted expression of Tspear in clusters representing enamel knots. A tspeara -/-;tspearb -/- double-knockout zebrafish model recapitulated the clinical features of ARED14 and fin regeneration abnormalities of wnt10a knockout fish, thus suggesting interaction between tspear and wnt10a. In summary, we provide insights into the role of TSPEAR in ectodermal development and the evolutionary history, epidemiology, mechanisms, and consequences of its loss of function variants.
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Affiliation(s)
- Adam Jackson
- Division of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
- Manchester Centre for Genomic Medicine, St Mary’s Hospital, Manchester University NHS Foundation Trust, Health Innovation Manchester, Manchester, UK
| | - Sheng-Jia Lin
- Genes and Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
| | - Elizabeth A. Jones
- Division of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
- Manchester Centre for Genomic Medicine, St Mary’s Hospital, Manchester University NHS Foundation Trust, Health Innovation Manchester, Manchester, UK
| | - Kate E. Chandler
- Manchester Centre for Genomic Medicine, St Mary’s Hospital, Manchester University NHS Foundation Trust, Health Innovation Manchester, Manchester, UK
| | - David Orr
- Manchester Centre for Genomic Medicine, St Mary’s Hospital, Manchester University NHS Foundation Trust, Health Innovation Manchester, Manchester, UK
| | - Celia Moss
- Department of Dermatology, Birmingham Children’s Hospital, Birmingham Women’s and Children’s NHS Foundation Trust, Birmingham, UK
| | - Zahra Haider
- Department of Dermatology, Birmingham Children’s Hospital, Birmingham Women’s and Children’s NHS Foundation Trust, Birmingham, UK
| | - Gavin Ryan
- West Midlands Regional Genetics Laboratory, Birmingham Women’s and Children’s NHS Foundation Trust, Birmingham, UK
| | - Simon Holden
- Clinical Genetics, Addenbrooke’s Hospital, Cambridge, UK
| | - Mike Harrison
- Department of Pediatric Dentistry, Guy’s and St Thomas' Dental Institute, London, UK
| | - Nigel Burrows
- Department of Dermatology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Wendy D. Jones
- North East Thames Regional Genetics Service, Great Ormond Street Hospital for Children, Great Ormond Street NHS Foundation Trust, London, UK
| | - Mary Loveless
- Genes and Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
| | - Cassidy Petree
- Genes and Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
| | - Helen Stewart
- Oxford Centre for Genomic Medicine, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Karen Low
- Department of Clinical Genetics, St Michael’s Hospital, Bristol, UK
| | - Deirdre Donnelly
- Department of Genetic Medicine, Belfast HSC Trust, Lisburn Road, Belfast, UK
| | - Simon Lovell
- Division of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Konstantina Drosou
- Department of Earth and Environmental Sciences, Manchester Institute of Biotechnology, University of Manchester, Manchester, UK
- Division of Cell Matrix Biology and Regenerative Medicine, Faculty of Biology, Medicine and Health, University of Manchester, 99 Oxford Road, Manchester, UK
| | - Gaurav K. Varshney
- Genes and Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
| | - Siddharth Banka
- Division of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
- Manchester Centre for Genomic Medicine, St Mary’s Hospital, Manchester University NHS Foundation Trust, Health Innovation Manchester, Manchester, UK
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Villalba-Mouco V, van de Loosdrecht MS, Rohrlach AB, Fewlass H, Talamo S, Yu H, Aron F, Lalueza-Fox C, Cabello L, Cantalejo Duarte P, Ramos-Muñoz J, Posth C, Krause J, Weniger GC, Haak W. A 23,000-year-old southern Iberian individual links human groups that lived in Western Europe before and after the Last Glacial Maximum. Nat Ecol Evol 2023; 7:597-609. [PMID: 36859553 PMCID: PMC10089921 DOI: 10.1038/s41559-023-01987-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 01/03/2023] [Indexed: 03/03/2023]
Abstract
Human populations underwent range contractions during the Last Glacial Maximum (LGM) which had lasting and dramatic effects on their genetic variation. The genetic ancestry of individuals associated with the post-LGM Magdalenian technocomplex has been interpreted as being derived from groups associated with the pre-LGM Aurignacian. However, both these ancestries differ from that of central European individuals associated with the chronologically intermediate Gravettian. Thus, the genomic transition from pre- to post-LGM remains unclear also in western Europe, where we lack genomic data associated with the intermediate Solutrean, which spans the height of the LGM. Here we present genome-wide data from sites in Andalusia in southern Spain, including from a Solutrean-associated individual from Cueva del Malalmuerzo, directly dated to ~23,000 cal yr BP. The Malalmuerzo individual carried genetic ancestry that directly connects earlier Aurignacian-associated individuals with post-LGM Magdalenian-associated ancestry in western Europe. This scenario differs from Italy, where individuals associated with the transition from pre- and post-LGM carry different genetic ancestries. This suggests different dynamics in the proposed southern refugia of Ice Age Europe and posits Iberia as a potential refugium for western European pre-LGM ancestry. More, individuals from Cueva Ardales, which were thought to be of Palaeolithic origin, date younger than expected and, together with individuals from the Andalusian sites Caserones and Aguilillas, fall within the genetic variation of the Neolithic, Chalcolithic and Bronze Age individuals from southern Iberia.
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Affiliation(s)
- Vanessa Villalba-Mouco
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.
- Instituto Universitario de Investigación en Ciencias Ambientales de Aragón, IUCA-Aragosaurus, Zaragoza, Spain.
- Institute of Evolutionary Biology, CSIC-Universitat Pompeu Fabra, Barcelona, Spain.
| | - Marieke S van de Loosdrecht
- Department of Archaeogenetics, Max Planck Institute for the Science of Human History, Jena, Germany
- Biosystematics Group, Wageningen University, Wageningen, the Netherlands
| | - Adam B Rohrlach
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- School of Mathematical Sciences, University of Adelaide, Adelaide, South Australia, Australia
| | - Helen Fewlass
- Department of Human Evolution, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Sahra Talamo
- Department of Human Evolution, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- Department of Chemistry G. Ciamician, Alma Mater Studiorum, University of Bologna, Bologna, Italy
| | - He Yu
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing, China
| | - Franziska Aron
- Department of Archaeogenetics, Max Planck Institute for the Science of Human History, Jena, Germany
| | - Carles Lalueza-Fox
- Institute of Evolutionary Biology, CSIC-Universitat Pompeu Fabra, Barcelona, Spain
- Natural Sciences Museum of Barcelona (MCNB), Barcelona, Spain
| | - Lidia Cabello
- University of Málaga and Grupo HUM-440 University of Cádiz, Cádiz, Spain
| | | | - José Ramos-Muñoz
- Departamento de Historia, Geografía y Filosofía, Universidad de Cádiz, Cádiz, Spain
| | - Cosimo Posth
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- Institute for Archaeological Sciences, Archaeo- and Palaeogenetics, University of Tübingen, Tübingen, Germany
- Senckenberg Centre for Human Evolution and Palaeoenvironment, University of Tübingen, Tübingen, Germany
| | - Johannes Krause
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | | | - Wolfgang Haak
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.
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37
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Marsh WA, Brace S, Barnes I. Inferring biological kinship in ancient datasets: comparing the response of ancient DNA-specific software packages to low coverage data. BMC Genomics 2023; 24:111. [PMID: 36918761 PMCID: PMC10015695 DOI: 10.1186/s12864-023-09198-4] [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: 08/18/2022] [Accepted: 02/20/2023] [Indexed: 03/16/2023] Open
Abstract
BACKGROUND The inference of biological relations between individuals is fundamental to understanding past human societies. Caregiving, resource sharing and sexual behaviours are often mediated by biological kinship and yet the identification and interpretation of kin relationships in prehistoric human groups is difficult. In recent years, the advent of archaeogenetic techniques have offered a fresh approach, and when combined with more traditional osteological and interpretive archaeological methods, allows for improved interpretation of the burial practices, cultural behaviours, and societal stratification in ancient societies. Although archaeogenetic techniques are developing at pace, questions remain as to their accuracy, particularly when applied to the low coverage datasets that results from the sequencing of DNA derived from highly degraded ancient material. RESULTS The performance of six of the most commonly used kinship identifcation software methods was explored at a range of low and ultra low genome coverages. An asymmetrical response was observed across packages, with decreased genome coverage resulting in differences in both direction and degree of change of calculated kinship scores and thus pairwise relatedness estimates are dependant on both package used and genome coverage. Methods reliant upon genotype likelihoods methods (lcMLkin, NGSrelate and NGSremix) show a decreased level of prediction at coverage below 1x, although were consistent in the particular relationships identified at these coverages when compared to the pseudohaploid reliant methods tested (READ, the Kennett 2017 method and TKGWV2.0). The three pseudohaploid methods show predictive potential at coverages as low as 0.05x, although the accuracy of the relationships identified is questionable given the increase in the number of relationships identifIed at the low coverage (type I errors). CONCLUSION Two pseudohaploid methods (READ and Kennett 2017) show relatively consistent inference of kin relationships at low coverage (0.5x), with READ only showing a significant performance drop off at ultralow coverages (< 0.2x). More generally, our results reveal asymmetrical kinship classifications in some software packages even at high coverages, highlighting the importance of applying multiple methods to authenticate kin relationships in ancient material, along with the continuing need to develop laboratory methods that maximise data output for downstream analyses.
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Affiliation(s)
- William A Marsh
- Natural History Museum, Cromwell Road, SW7 5BD, London, England. .,BioArCh, University of York, YO10 5NG, York, England.
| | - Selina Brace
- Natural History Museum, Cromwell Road, SW7 5BD, London, England
| | - Ian Barnes
- Natural History Museum, Cromwell Road, SW7 5BD, London, England
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38
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Yu HX, Ao C, Wang XP, Zhang XP, Sun J, Li H, Liu KJ, Wei LH. The impacts of bronze age in the gene pool of Chinese: Insights from phylogeographics of Y-chromosomal haplogroup N1a2a-F1101. Front Genet 2023; 14:1139722. [PMID: 36968599 PMCID: PMC10036388 DOI: 10.3389/fgene.2023.1139722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Accepted: 02/23/2023] [Indexed: 03/12/2023] Open
Abstract
Objectives: Previous studies of archaeology and history suggested that the rise and prosperity of Bronze Age culture in East Asia had made essential contribution to the formation of early state and civilization in this region. However, the impacts in perspective of genetics remain ambiguous. Previous genetic researches indicated the Y-chromosome Q1a1a-M120 and N1a2a-F1101 may be the two most important paternal lineages among the Bronze Age people in ancient northwest China. Here, we investigated the 9,000-years history of haplogroup N1a2a-F1101 with revised phylogenetic tree and spatial autocorrelation analysis.Materials and Methods: In this study, 229 sequences of N1a2a-F1101 were analyzed. We developed a highly-revised phylogenetic tree with age estimates for N1a2a-F1101. In addition, we also explored the geographical distribution of sub-lineages of N1a2a-F1101, and spatial autocorrelation analysis was conducted for each sub-branch.Results: The initial differentiation location of N1a2a-F1101 and its most closely related branch, N1a2b-P43, a major lineage of Uralic-speaking populations in northern Eurasia, is likely the west part of northeast China. After ~4 thousand years of bottleneck effect period, haplgroup N1a2a-F1101 experienced continuous expansion during the Chalcolithic age (~ 4.5 kya to 4 kya) and Bronze age (~ 4 kya to 2.5 kya) in northern China. Ancient DNA evidence supported that this haplogroup is the lineage of ruling family of Zhou Dynasty (~ 3 kya-2.2 kya) of ancient China.Discussion: In general, we proposed that the Bronze Age people in the border area between the eastern Eurasian steppe and northern China not only played a key role in promoting the early state and civilization of China, but also left significant traces in the gene pool of Chinese people.
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Affiliation(s)
- Hui-Xin Yu
- School of Ethnology and Anthropology, Institute of Humanities and Human Sciences, Inner Mongolia Normal University, Hohhot, China
| | - Cheliger Ao
- School of Ethnology and Anthropology, Institute of Humanities and Human Sciences, Inner Mongolia Normal University, Hohhot, China
| | - Xiao-Peng Wang
- School of Management, Dalian University of Technology, Dalian, China
| | - Xian-Peng Zhang
- School of Ethnology and Anthropology, Institute of Humanities and Human Sciences, Inner Mongolia Normal University, Hohhot, China
| | - Jin Sun
- School of Literature and Media, Xingyi Normal University for Nationalities, Xingyi, China
| | - Hui Li
- MOE Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China
- B&R International Joint Laboratory for Eurasian Anthropology, Fudan University, Shanghai, China
| | - Kai-Jun Liu
- School of International Tourism and culture, Guizhou Normal University, Guiyang, China
- *Correspondence: Kai-Jun Liu, ; Lan-Hai Wei,
| | - Lan-Hai Wei
- School of Ethnology and Anthropology, Institute of Humanities and Human Sciences, Inner Mongolia Normal University, Hohhot, China
- B&R International Joint Laboratory for Eurasian Anthropology, Fudan University, Shanghai, China
- *Correspondence: Kai-Jun Liu, ; Lan-Hai Wei,
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39
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Ringbauer H, Huang Y, Akbari A, Mallick S, Patterson N, Reich D. ancIBD - Screening for identity by descent segments in human ancient DNA. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.08.531671. [PMID: 36945531 PMCID: PMC10028887 DOI: 10.1101/2023.03.08.531671] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Long DNA sequences shared between two individuals, known as Identical by descent (IBD) segments, are a powerful signal for identifying close and distant biological relatives because they only arise when the pair shares a recent common ancestor. Existing methods to call IBD segments between present-day genomes cannot be straightforwardly applied to ancient DNA data (aDNA) due to typically low coverage and high genotyping error rates. We present ancIBD, a method to identify IBD segments for human aDNA data implemented as a Python package. Our approach is based on a Hidden Markov Model, using as input genotype probabilities imputed based on a modern reference panel of genomic variation. Through simulation and downsampling experiments, we demonstrate that ancIBD robustly identifies IBD segments longer than 8 centimorgan for aDNA data with at least either 0.25x average whole-genome sequencing (WGS) coverage depth or at least 1x average depth for in-solution enrichment experiments targeting a widely used aDNA SNP set ('1240k'). This application range allows us to screen a substantial fraction of the aDNA record for IBD segments and we showcase two downstream applications. First, leveraging the fact that biological relatives up to the sixth degree are expected to share multiple long IBD segments, we identify relatives between 10,156 ancient Eurasian individuals and document evidence of long-distance migration, for example by identifying a pair of two approximately fifth-degree relatives who were buried 1410km apart in Central Asia 5000 years ago. Second, by applying ancIBD, we reveal new details regarding the spread of ancestry related to Steppe pastoralists into Europe starting 5000 years ago. We find that the first individuals in Central and Northern Europe carrying high amounts of Steppe-ancestry, associated with the Corded Ware culture, share high rates of long IBD (12-25 cM) with Yamnaya herders of the Pontic-Caspian steppe, signaling a strong bottleneck and a recent biological connection on the order of only few hundred years, providing evidence that the Yamnaya themselves are a main source of Steppe ancestry in Corded Ware people. We also detect elevated sharing of long IBD segments between Corded Ware individuals and people associated with the Globular Amphora culture (GAC) from Poland and Ukraine, who were Copper Age farmers not yet carrying Steppe-like ancestry. These IBD links appear for all Corded Ware groups in our analysis, indicating that individuals related to GAC contexts must have had a major demographic impact early on in the genetic admixtures giving rise to various Corded Ware groups across Europe. These results show that detecting IBD segments in aDNA can generate new insights both on a small scale, relevant to understanding the life stories of people, and on the macroscale, relevant to large-scale cultural-historical events.
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Affiliation(s)
- Harald Ringbauer
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
| | - Yilei Huang
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- Bioinformatics Group, Institute of Computer Science, Universität Leipzig, Leipzig, Germanÿ
| | - Ali Akbari
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
| | - Swapan Mallick
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
| | - Nick Patterson
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - David Reich
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA
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40
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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: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [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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41
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Estimating human mobility in Holocene Western Eurasia with large-scale ancient genomic data. Proc Natl Acad Sci U S A 2023; 120:e2218375120. [PMID: 36821583 PMCID: PMC9992830 DOI: 10.1073/pnas.2218375120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/24/2023] Open
Abstract
The recent increase in openly available ancient human DNA samples allows for large-scale meta-analysis applications. Trans-generational past human mobility is one of the key aspects that ancient genomics can contribute to since changes in genetic ancestry-unlike cultural changes seen in the archaeological record-necessarily reflect movements of people. Here, we present an algorithm for spatiotemporal mapping of genetic profiles, which allow for direct estimates of past human mobility from large ancient genomic datasets. The key idea of the method is to derive a spatial probability surface of genetic similarity for each individual in its respective past. This is achieved by first creating an interpolated ancestry field through space and time based on multivariate statistics and Gaussian process regression and then using this field to map the ancient individuals into space according to their genetic profile. We apply this algorithm to a dataset of 3138 aDNA samples with genome-wide data from Western Eurasia in the last 10,000 y. Finally, we condense this sample-wise record with a simple summary statistic into a diachronic measure of mobility for subregions in Western, Central, and Southern Europe. For regions and periods with sufficient data coverage, our similarity surfaces and mobility estimates show general concordance with previous results and provide a meta-perspective of genetic changes and human mobility.
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42
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Knight MG. Nostalgia in the prehistoric archaeological record. Curr Opin Psychol 2023; 50:101560. [PMID: 36868137 DOI: 10.1016/j.copsyc.2023.101560] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Revised: 01/30/2023] [Accepted: 02/02/2023] [Indexed: 02/11/2023]
Abstract
Evidence from the prehistoric archaeological record clearly shows that ancient societies had a sense of and engaged with their own histories, be it by reusing, re-appropriating or recreating past material culture. The affective qualities of materials, places and even human remains would have enabled people to remember and connect with aspects of their immediate and more distant pasts. In some cases, this may have elicited specific emotive responses, similar to how nostalgic triggers operate today. Nostalgia is not a word commonly used by archaeologists, but through exploring the materiality and sensory affect of objects and spaces in the past, we can consider that what we deal with archaeologically may have held nostalgic qualities.
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Affiliation(s)
- Matthew G Knight
- National Museum of Scotland, Chambers Street, Edinburgh, EH1 1JF, UK.
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43
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Tawfik SM, Elhosseiny AA, Galal AA, William MB, Qansuwa E, Elbaz RM, Salama M. Health inequity in genomic personalized medicine in underrepresented populations: a look at the current evidence. Funct Integr Genomics 2023; 23:54. [PMID: 36719510 DOI: 10.1007/s10142-023-00979-4] [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: 01/03/2023] [Revised: 01/24/2023] [Accepted: 01/24/2023] [Indexed: 02/01/2023]
Abstract
Improvements in sequencing technology coupled with dramatic declines in the cost of genome sequencing have led to a proportional growth in the size and number of genetic datasets since the release of the human genetic sequence by The Human Genome Project (HGP) international consortium. The HGP was undeniably a significant scientific success, a turning point in human genetics and the beginning of human genomics. This burst of genetic information has led to a greater understanding of disease pathology and the potential of employing this data to deliver more precise patient care. Hence, the recognition of high-penetrance disease-causing mutations which encode drivers of disease has made the management of most diseases more specific. Nonetheless, while genetic scores are becoming more extensively used, their application in the real world is expected to be limited due to the lack of diversity in the data used to construct them. Underrepresented populations, such as racial and ethnic minorities, low-income individuals, and those living in rural areas, often experience greater health disparities and worse health outcomes compared to the general population. These disparities are often the result of systemic barriers, such as poverty, discrimination, and limited access to healthcare. Addressing health inequity in underrepresented populations requires addressing the underlying social determinants of health and implementing policies and programs which promoted health equity and reduce disparities. This can include expanding access to affordable healthcare, addressing poverty and unemployment, and promoting policies that combat discrimination and racism.
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Affiliation(s)
- Sherouk M Tawfik
- Institute of Global Health and Human Ecology, School of Sciences and Engineering, The American University in Cairo, Cairo, 11835, Egypt.,Department of Pharmacology and Biochemistry, Faculty of Pharmacy, The British University in Egypt (BUE), Cairo, 11837, Egypt
| | - Aliaa A Elhosseiny
- Institute of Global Health and Human Ecology, School of Sciences and Engineering, The American University in Cairo, Cairo, 11835, Egypt.,Department of Pharmacology and Biochemistry, Faculty of Pharmacy, The British University in Egypt (BUE), Cairo, 11837, Egypt
| | - Aya A Galal
- Institute of Global Health and Human Ecology, School of Sciences and Engineering, The American University in Cairo, Cairo, 11835, Egypt.,Systems Genomics Laboratory, The American University in Cairo, New Cairo, Egypt
| | - Martina B William
- Institute of Global Health and Human Ecology, School of Sciences and Engineering, The American University in Cairo, Cairo, 11835, Egypt.,Department of Clinical Pharmacy, Faculty of Pharmacy, Assiut University, Assiut, Egypt
| | - Esraa Qansuwa
- Institute of Global Health and Human Ecology, School of Sciences and Engineering, The American University in Cairo, Cairo, 11835, Egypt
| | - Rana M Elbaz
- Institute of Global Health and Human Ecology, School of Sciences and Engineering, The American University in Cairo, Cairo, 11835, Egypt
| | - Mohamed Salama
- Institute of Global Health and Human Ecology, School of Sciences and Engineering, The American University in Cairo, Cairo, 11835, Egypt. .,Faculty of Medicine, Mansoura University, Mansoura, Egypt. .,Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland.
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44
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Abstract
Nearly 20 y ago, Jared Diamond and Peter Bellwood reviewed the evidence for the associated spread of farming and large language families by the demographic expansions of farmers. Since then, advances in obtaining and analyzing genomic data from modern and ancient populations have transformed our knowledge of human dispersals during the Holocene. Here, we provide an overview of Holocene dispersals in the light of genomic evidence and conclude that they have a complex history. Even when there is a demonstrated connection between a demographic expansion of people, the spread of agriculture, and the spread of a particular language family, the outcome in the results of contact between expanding and resident groups is highly variable. Further research is needed to identify the factors and social circumstances that have influenced this variation and complex history.
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Peltola S, Majander K, Makarov N, Dobrovolskaya M, Nordqvist K, Salmela E, Onkamo P. Genetic admixture and language shift in the medieval Volga-Oka interfluve. Curr Biol 2023; 33:174-182.e10. [PMID: 36513080 DOI: 10.1016/j.cub.2022.11.036] [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: 07/01/2022] [Revised: 09/23/2022] [Accepted: 11/17/2022] [Indexed: 12/14/2022]
Abstract
The Volga-Oka interfluve in northwestern Russia has an intriguing history of population influx and language shift during the Common Era. Today, most inhabitants of the region speak Russian, but until medieval times, northwestern Russia was inhabited by Uralic-speaking peoples.1,2,3 A gradual shift to Slavic languages started in the second half of the first millennium with the expansion of Slavic tribes, which led to the foundation of the Kievan Rus' state in the late 9th century CE. The medieval Rus' was multicultural and multilingual-historical records suggest that its northern regions comprised Slavic and Uralic peoples ruled by Scandinavian settlers.4,5,6 In the 10th-11th centuries, the introduction of Christianity and Cyrillic literature raised the prestige status of Slavic, driving a language shift from Uralic to Slavic.3 This eventually led to the disappearance of the Uralic languages from northwestern Russia. Here, we study a 1,500-year time transect of 30 ancient genomes and stable isotope values from the Suzdal region in the Volga-Oka interfluve. We describe a previously unsampled local Iron Age population and a gradual genetic turnover in the following centuries. Our time transect captures the population shift associated with the spread of Slavic languages and illustrates the ethnically mixed state of medieval Suzdal principality, eventually leading to the formation of the admixed but fully Slavic-speaking population that inhabits the area today. We also observe genetic outliers that highlight the importance of the Suzdal region in medieval times as a hub of long-reaching contacts via trade and warfare.
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Affiliation(s)
- Sanni Peltola
- Faculty of Biological and Environmental Sciences, University of Helsinki, 00014 Helsinki, Finland; Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany.
| | - Kerttu Majander
- Department of Evolutionary Anthropology, University of Vienna, 1030 Vienna, Austria
| | - Nikolaj Makarov
- Institute of Archaeology, Russian Academy of Sciences, 117292 Moscow, Russia
| | - Maria Dobrovolskaya
- Institute of Archaeology, Russian Academy of Sciences, 117292 Moscow, Russia
| | - Kerkko Nordqvist
- Department of Cultures, Archaeology, University of Helsinki, 00014 Helsinki, Finland
| | - Elina Salmela
- Faculty of Biological and Environmental Sciences, University of Helsinki, 00014 Helsinki, Finland; Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany; Department of Biology, University of Turku, 20014 Turku, Finland
| | - Päivi Onkamo
- Department of Biology, University of Turku, 20014 Turku, Finland.
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Espinosa I, Alfonso-Sánchez MA, Gómez-Pérez L, Peña JA. Neolithic expansion and the 17q21.31 inversion in Iberia: an evolutionary approach to H2 haplotype distribution in the Near East and Europe. Mol Genet Genomics 2023; 298:153-160. [PMID: 36355195 PMCID: PMC9816301 DOI: 10.1007/s00438-022-01969-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Accepted: 10/25/2022] [Indexed: 11/11/2022]
Abstract
The chromosomal region 17q21.31 harbors a 900 kb inversion polymorphism named after the microtubule-associated protein tau (MAPT) gene. Since no recombination occurs, two haplotypes are recognized: a directly oriented variant (H1) and an inverted variant (H2). The H2 haplotype features a distribution pattern with high frequencies in the Near East and Europe, medium levels in South Asia and North Africa, and low levels elsewhere. Studies of this genomic region are relevant owing to its likely association with numerous neurodegenerative diseases. However, the causes underlying the geographic distribution of the haplotype frequencies remain a bone of contention among researchers. With this work, we have intended to outline a plausible hypothesis on the origin of the high European H2 frequencies. To that end, we have analyzed an extensive population database (including three new Iberian populations) to explore potential clinal variations of H2 frequencies. We found a sigmoidal frequency cline with an upward trend from South Asia to Europe. The maximum value was detected in the Basques from Gipuzkoa province (0.494) with the curve's inflection point in the Near East. From our results, we suggest that the most likely scenario for high H2 frequencies in Europe would be a founding event in the Near East during the late Paleolithic or early Neolithic. Subsequently, such H2 overrepresentation would have reached Europe with the arrival of the first Neolithic farmers. The current frequencies and geographic distribution of the 17q21.31 inversion suggest that the founding events mainly affected the H2D subhaplotype.
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Affiliation(s)
- Ibone Espinosa
- Departamento de Genética, Antropología Física y Fisiología Animal, Universidad del País Vasco (UPV/EHU), Apartado 644, 48080, Bilbao, Spain
| | - Miguel A Alfonso-Sánchez
- Departamento de Genética, Antropología Física y Fisiología Animal, Universidad del País Vasco (UPV/EHU), Apartado 644, 48080, Bilbao, Spain
| | - Luis Gómez-Pérez
- Departamento de Genética, Antropología Física y Fisiología Animal, Universidad del País Vasco (UPV/EHU), Apartado 644, 48080, Bilbao, Spain
| | - Jose A Peña
- Departamento de Genética, Antropología Física y Fisiología Animal, Universidad del País Vasco (UPV/EHU), Apartado 644, 48080, Bilbao, Spain.
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Elliott E, Saupe T, Thompson JE, Robb JE, Scheib CL. Sex bias in Neolithic megalithic burials. AMERICAN JOURNAL OF BIOLOGICAL ANTHROPOLOGY 2023; 180:196-206. [PMCID: PMC10092627 DOI: 10.1002/ajpa.24645] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Revised: 08/27/2022] [Accepted: 10/12/2022] [Indexed: 11/16/2023]
Abstract
Objectives A statistical study comparing osteological and ancient DNA determinations of sex was conducted in order to investigate whether there are sex biases in United Kingdom and Irish Neolithic megalithic burials. Materials and Methods Genetic and osteological information from human individuals from 32 megalithic sites in the UK and Ireland dating from 4000 to 2500 cal. BCE was collected and statistically analyzed to test whether there is a true over‐representation of males at these sites. The published dataset from the study by Sánchez‐Quinto et al. in 2019 was initially analyzed before being refined and included in a larger dataset. Osteological analysis of sex bias was limited to adults with available sex estimations, and genetic analysis limited to published data Results Two sites consistently returned significant p ‐values suggesting a potential over‐representation in osteological males at one site (Knowe of Midhowe, Orkney) and genetic males in the other (Primrose Grange, Ireland). Cumulative statistical analyses point towards a male bias in the representation of sexes in Neolithic megalithic burials, but these results do not reflect the site‐by‐site and regional variation found in this study. Discussion The interpretation of sex bias, that is, the over‐representation of one sex over another ‐ depends on other socio‐cultural variables (e.g., kinship) and the emphasis placed on statistical significance. The trend towards males being over‐represented in Neolithic megalithic burials is not as clear as previously thought, and requires further testing and data collection to uncover.
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Affiliation(s)
- Elliot Elliott
- Estonian Biocentre, Institute of GenomicsUniversity of TartuTartuEstonia
| | - Tina Saupe
- Estonian Biocentre, Institute of GenomicsUniversity of TartuTartuEstonia
| | - Jess E. Thompson
- McDonald Institute for Archaeological ResearchUniversity of CambridgeCambridgeUK
- Darwin CollegeUniversity of CambridgeCambridgeUK
| | - John E. Robb
- Department of ArchaeologyUniversity of CambridgeCambridgeUK
| | - Christiana L. Scheib
- Estonian Biocentre, Institute of GenomicsUniversity of TartuTartuEstonia
- St John's CollegeUniversity of CambridgeCambridgeUK
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Straiton J. Ancient DNA sequencing: telling the tale of human history and evolution. Biotechniques 2023; 74:5-7. [PMID: 36625391 DOI: 10.2144/btn-2022-0121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
Standfirst: In the last decade, ancient DNA research has provided invaluable insights into the lives of ancient populations, adding detail and enriching the story of human evolution and development. [Formula: see text].
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Ancient DNA reveals admixture history and endogamy in the prehistoric Aegean. Nat Ecol Evol 2023; 7:290-303. [PMID: 36646948 PMCID: PMC9911347 DOI: 10.1038/s41559-022-01952-3] [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: 05/15/2022] [Accepted: 11/11/2022] [Indexed: 01/18/2023]
Abstract
The Neolithic and Bronze Ages were highly transformative periods for the genetic history of Europe but for the Aegean-a region fundamental to Europe's prehistory-the biological dimensions of cultural transitions have been elucidated only to a limited extent so far. We have analysed newly generated genome-wide data from 102 ancient individuals from Crete, the Greek mainland and the Aegean Islands, spanning from the Neolithic to the Iron Age. We found that the early farmers from Crete shared the same ancestry as other contemporaneous Neolithic Aegeans. In contrast, the end of the Neolithic period and the following Early Bronze Age were marked by 'eastern' gene flow, which was predominantly of Anatolian origin in Crete. Confirming previous findings for additional Central/Eastern European ancestry in the Greek mainland by the Middle Bronze Age, we additionally show that such genetic signatures appeared in Crete gradually from the seventeenth to twelfth centuries BC, a period when the influence of the mainland over the island intensified. Biological and cultural connectedness within the Aegean is also supported by the finding of consanguineous endogamy practiced at high frequencies, unprecedented in the global ancient DNA record. Our results highlight the potential of archaeogenomic approaches in the Aegean for unravelling the interplay of genetic admixture, marital and other cultural practices.
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Beichman AC, Kalhori P, Kyriazis CC, DeVries AA, Nigenda-Morales S, Heckel G, Schramm Y, Moreno-Estrada A, Kennett DJ, Hylkema M, Bodkin J, Koepfli KP, Lohmueller KE, Wayne RK. Genomic analyses reveal range-wide devastation of sea otter populations. Mol Ecol 2023; 32:281-298. [PMID: 34967471 PMCID: PMC9875727 DOI: 10.1111/mec.16334] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Revised: 12/02/2021] [Accepted: 12/23/2021] [Indexed: 01/28/2023]
Abstract
The genetic consequences of species-wide declines are rarely quantified because the timing and extent of the decline varies across the species' range. The sea otter (Enhydra lutris) is a unique model in this regard. Their dramatic decline from thousands to fewer than 100 individuals per population occurred range-wide and nearly simultaneously due to the 18th-19th century fur trade. Consequently, each sea otter population represents an independent natural experiment of recovery after extreme population decline. We designed sequence capture probes for 50 Mb of sea otter exonic and neutral genomic regions. We sequenced 107 sea otters from five populations that span the species range to high coverage (18-76×) and three historical Californian samples from ~1500 and ~200 years ago to low coverage (1.5-3.5×). We observe distinct population structure and find that sea otters in California are the last survivors of a divergent lineage isolated for thousands of years and therefore warrant special conservation concern. We detect signals of extreme population decline in every surviving sea otter population and use this demographic history to design forward-in-time simulations of coding sequence. Our simulations indicate that this decline could lower the fitness of recovering populations for generations. However, the simulations also demonstrate how historically low effective population sizes prior to the fur trade may have mitigated the effects of population decline on genetic health. Our comprehensive approach shows how demographic inference from genomic data, coupled with simulations, allows assessment of extinction risk and different models of recovery.
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Affiliation(s)
- Annabel C. Beichman
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, CA 90095, USA
| | - Pooneh Kalhori
- Department of Biology, San Francisco State University, San Francisco, CA 94132, USA
| | - Christopher C. Kyriazis
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, CA 90095, USA
| | - Amber A. DeVries
- Center for Bioinformatics and Functional Genomics, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Sergio Nigenda-Morales
- National Laboratory of Genomics for Biodiversity, Unit of Advanced Genomics (LANGEBIO), CINVESTAV, Irapuato, Guanajuato 36824, Mexico
| | - Gisela Heckel
- Centro de Investigación Científica y de Educación Superior de Ensenada (Ensenada Center for Scientific Research and Higher Education), Ensenada, Baja California 22860, Mexico
| | - Yolanda Schramm
- Universidad Autónoma de Baja California (Autonomous University of Baja California), Ensenada, Baja California 22860, Mexico
| | - Andrés Moreno-Estrada
- National Laboratory of Genomics for Biodiversity, Unit of Advanced Genomics (LANGEBIO), CINVESTAV, Irapuato, Guanajuato 36824, Mexico
| | - Douglas J. Kennett
- Department of Anthropology, University of California, Santa Barbara, CA 93106, USA
| | - Mark Hylkema
- Cultural Resources Program Manager and Tribal Liaison/Archaeologist, Santa Cruz District, California State Parks, Santa Cruz, California, USA
| | - James Bodkin
- Retired, Alaska Science Center, US Geological Survey, Anchorage Alaska, 99503, USA
| | - Klaus-Peter Koepfli
- Smithsonian-Mason School of Conservation, George Mason University, Front Royal, VA 22630, USA
- Smithsonian Conservation Biology Institute, Center for Species Survival, National Zoological Park, Washington, D.C., 20008, USA
- ITMO University, Computer Technologies Laboratory, St. Petersburg 197101, Russia
| | - Kirk E. Lohmueller
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, CA 90095, USA
- Interdepartmental Program in Bioinformatics, University of California, Los Angeles, CA 90095, USA
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA
| | - Robert K. Wayne
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, CA 90095, USA
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