1
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Yang B, Zhou X, Liu S. Tracing the genealogy origin of geographic populations based on genomic variation and deep learning. Mol Phylogenet Evol 2024; 198:108142. [PMID: 38964594 DOI: 10.1016/j.ympev.2024.108142] [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: 10/09/2023] [Revised: 05/30/2024] [Accepted: 07/01/2024] [Indexed: 07/06/2024]
Abstract
Assigning a query individual animal or plant to its derived population is a prime task in diverse applications related to organismal genealogy. Such endeavors have conventionally relied on short DNA sequences under a phylogenetic framework. These methods naturally show constraints when the inferred population sources are ambiguously phylogenetically structured, a scenario demanding substantially more informative genetic signals. Recent advances in cost-effective production of whole-genome sequences and artificial intelligence have created an unprecedented opportunity to trace the population origin for essentially any given individual, as long as the genome reference data are comprehensive and standardized. Here, we developed a convolutional neural network method to identify population origins using genomic SNPs. Three empirical datasets (an Asian honeybee, a red fire ant, and a chicken datasets) and two simulated populations are used for the proof of concepts. The performance tests indicate that our method can accurately identify the genealogy origin of query individuals, with success rates ranging from 93 % to 100 %. We further showed that the accuracy of the model can be significantly increased by refining the informative sites through FST filtering. Our method is robust to configurations related to batch sizes and epochs, whereas model learning benefits from the setting of a proper preset learning rate. Moreover, we explained the importance score of key sites for algorithm interpretability and credibility, which has been largely ignored. We anticipate that by coupling genomics and deep learning, our method will see broad potential in conservation and management applications that involve natural resources, invasive pests and weeds, and illegal trades of wildlife products.
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Affiliation(s)
- Bing Yang
- Department of Entomology, China Agricultural University, Beijing 100193, China
| | - Xin Zhou
- Department of Entomology, China Agricultural University, Beijing 100193, China.
| | - Shanlin Liu
- Department of Entomology, China Agricultural University, Beijing 100193, China; Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China.
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2
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Zhou ZT, Owens GL, Larson WA, Lou RN, Sudmant PH. loco-pipe: an automated pipeline for population genomics with low-coverage whole-genome sequencing. BIOINFORMATICS ADVANCES 2024; 4:vbae098. [PMID: 39006965 PMCID: PMC11246161 DOI: 10.1093/bioadv/vbae098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Revised: 06/26/2024] [Accepted: 07/10/2024] [Indexed: 07/16/2024]
Abstract
Summary We developed loco-pipe, a Snakemake pipeline that seamlessly streamlines a set of essential population genomic analyses for low-coverage whole genome sequencing (lcWGS) data. loco-pipe is highly automated, easily customizable, massively parallelized, and thus is a valuable tool for both new and experienced users of lcWGS. Availability and implementation loco-pipe is published under the GPLv3. It is freely available on GitHub (github.com/sudmantlab/loco-pipe) and archived on Zenodo (doi.org/10.5281/zenodo.10425920).
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Affiliation(s)
- Zehua T Zhou
- Department of Integrative Biology, University of California Berkeley, Berkeley, CA 94720, USA
| | - Gregory L Owens
- Department of Biology, University of Victoria, Victoria, BC V8P 5C2, Canada
| | - Wesley A Larson
- National Marine Fisheries Service, Alaska Fisheries Science Center, National Oceanographic and Atmospheric Administration, Auke Bay Laboratories, Juneau, AK 99801, USA
| | - Runyang Nicolas Lou
- Department of Integrative Biology, University of California Berkeley, Berkeley, CA 94720, USA
| | - Peter H Sudmant
- Department of Integrative Biology, University of California Berkeley, Berkeley, CA 94720, USA
- Center for Computational Biology, University of California Berkeley, Berkeley, CA 94720, USA
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3
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Li T, Wang Y, Zhang Z, Ji C, Zheng N, Huang Y. A comparative analysis reveals the genomic diversity among 8 Muscovy duck populations. G3 (BETHESDA, MD.) 2024; 14:jkae112. [PMID: 38789099 PMCID: PMC11228869 DOI: 10.1093/g3journal/jkae112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Revised: 03/05/2024] [Accepted: 05/10/2024] [Indexed: 05/26/2024]
Abstract
The Muscovy duck (Cairina moschata) is a waterfowl indigenous to the neotropical regions of Central and South America. It has low demand for concentrated feed and strong adaptability to different rearing conditions. After introduced to China through Eurasian commercial trade, Muscovy ducks have a domestication history of around 300 years in the Fujian Province of China. In the 1990s, the commodity Muscovy duck breed "Crimo," cultivated in Europe, entered the Chinese market for consumption and breeding purposes. Due to the different selective breeding processes, Muscovy ducks have various populational traits and lack transparency of their genetic background. To remove this burden in the Muscovy duck breeding process, we analyzed genomic data from 8 populations totaling 83 individuals. We identify 11.24 million single nucleotide polymorphisms (SNPs) and categorized these individuals into the Fujian-bred and the Crimo populations according to phylogenetic analyses. We then delved deeper into their evolutionary relationships through assessing population structure, calculating fixation index (FST) values, and measuring genetic distances. Our exploration of runs of homozygosity (ROHs) and homozygous-by-descent (HBD) uncovered genomic regions enriched for genes implicated in fatty acid metabolism, development, and immunity pathways. Selective sweep analyses further indicated strong selective pressures exerted on genes including TECR, STAT2, and TRAF5. These findings provide insights into genetic variations of Muscovy ducks, thus offering valuable information regarding genetic diversity, population conservation, and genome associated with the breeding of Muscovy ducks.
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Affiliation(s)
- Te Li
- State Key Laboratory of Farm Animal Biotech Breeding, College of Biology Sciences, China Agricultural University, No.2 Yuan Ming Yuan West Road, Hai Dian District, Beijing 100193, China
| | - Yiming Wang
- State Key Laboratory of Farm Animal Biotech Breeding, College of Biology Sciences, China Agricultural University, No.2 Yuan Ming Yuan West Road, Hai Dian District, Beijing 100193, China
| | - Zhou Zhang
- National Key Laboratory for Swine Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang 330045, China
| | - Congliang Ji
- Technology Department (Research Institute) Livestock and Poultry Breeding Research Office, Wens Foodstuff Group Co. Ltd, Huineng North Road, Xincheng Town, Xinxing County, Yunfu City, Guangdong Province 527400, China
| | - Nengzhu Zheng
- Institute of Animal Husbandry and Veterinary Medicine, Fujian Academy of Agricultural Sciences, Fuzhou 350013, China
| | - Yinhua Huang
- State Key Laboratory of Farm Animal Biotech Breeding, College of Biology Sciences, China Agricultural University, No.2 Yuan Ming Yuan West Road, Hai Dian District, Beijing 100193, China
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4
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Chen J, Liu C, Li W, Zhang W, Wang Y, Clark AG, Lu J. From sub-Saharan Africa to China: Evolutionary history and adaptation of Drosophila melanogaster revealed by population genomics. SCIENCE ADVANCES 2024; 10:eadh3425. [PMID: 38630810 PMCID: PMC11023512 DOI: 10.1126/sciadv.adh3425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/04/2023] [Accepted: 03/13/2024] [Indexed: 04/19/2024]
Abstract
Drosophila melanogaster is a widely used model organism for studying environmental adaptation. However, the genetic diversity of populations in Asia is poorly understood, leaving a notable gap in our knowledge of the global evolution and adaptation of this species. We sequenced genomes of 292 D. melanogaster strains from various ecological settings in China and analyzed them along with previously published genome sequences. We have identified six global genetic ancestry groups, despite the presence of widespread genetic admixture. The strains from China represent a unique ancestry group, although detectable differentiation exists among populations within China. We deciphered the global migration and demography of D. melanogaster, and identified widespread signals of adaptation, including genetic changes in response to insecticides. We validated the effects of insecticide resistance variants using population cage trials and deep sequencing. This work highlights the importance of population genomics in understanding the genetic underpinnings of adaptation, an effort that is particularly relevant given the deterioration of ecosystems.
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Affiliation(s)
- Junhao Chen
- State Key Laboratory of Protein and Plant Gene Research, Center for Bioinformatics, School of Life Sciences, Peking University, Beijing 100871, China
| | - Chenlu Liu
- State Key Laboratory of Protein and Plant Gene Research, Center for Bioinformatics, School of Life Sciences, Peking University, Beijing 100871, China
| | - Weixuan Li
- State Key Laboratory of Protein and Plant Gene Research, Center for Bioinformatics, School of Life Sciences, Peking University, Beijing 100871, China
| | - Wenxia Zhang
- State Key Laboratory of Protein and Plant Gene Research, Center for Bioinformatics, School of Life Sciences, Peking University, Beijing 100871, China
| | - Yirong Wang
- College of Biology, Hunan University, Changsha 410082, China
| | - Andrew G. Clark
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14853, USA
| | - Jian Lu
- State Key Laboratory of Protein and Plant Gene Research, Center for Bioinformatics, School of Life Sciences, Peking University, Beijing 100871, China
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5
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Li X, Liu Q, Fu C, Li M, Li C, Li X, Zhao S, Zheng Z. Characterizing structural variants based on graph-genotyping provides insights into pig domestication and local adaption. J Genet Genomics 2024; 51:394-406. [PMID: 38056526 DOI: 10.1016/j.jgg.2023.11.005] [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: 07/14/2023] [Revised: 11/23/2023] [Accepted: 11/24/2023] [Indexed: 12/08/2023]
Abstract
Structural variants (SVs), such as deletions (DELs) and insertions (INSs), contribute substantially to pig genetic diversity and phenotypic variation. Using a library of SVs discovered from long-read primary assemblies and short-read sequenced genomes, we map pig genomic SVs with a graph-based method for re-genotyping SVs in 402 genomes. Our results demonstrate that those SVs harboring specific trait-associated genes may greatly shape pig domestication and local adaptation. Further characterization of SVs reveals that some population-stratified SVs may alter the transcription of genes by affecting regulatory elements. We identify that the genotypes of two DELs (296-bp DEL, chr7: 52,172,101-52,172,397; 278-bp DEL, chr18: 23,840,143-23,840,421) located in muscle-specific enhancers are associated with the expression of target genes related to meat quality (FSD2) and muscle fiber hypertrophy (LMOD2 and WASL) in pigs. Our results highlight the role of SVs in domestic porcine evolution, and the identified candidate functional genes and SVs are valuable resources for future genomic research and breeding programs in pigs.
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Affiliation(s)
- Xin Li
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education and Key Laboratory of Swine Genetics and Breeding of Ministry of Agriculture, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, Hubei 430070, China
| | - Quan Liu
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education and Key Laboratory of Swine Genetics and Breeding of Ministry of Agriculture, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, Hubei 430070, China
| | - Chong Fu
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education and Key Laboratory of Swine Genetics and Breeding of Ministry of Agriculture, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, Hubei 430070, China
| | - Mengxun Li
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education and Key Laboratory of Swine Genetics and Breeding of Ministry of Agriculture, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, Hubei 430070, China
| | - Changchun Li
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education and Key Laboratory of Swine Genetics and Breeding of Ministry of Agriculture, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, Hubei 430070, China; The Cooperative Innovation Center for Sustainable Pig Production, Wuhan, Hubei 430070, China
| | - Xinyun Li
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education and Key Laboratory of Swine Genetics and Breeding of Ministry of Agriculture, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, Hubei 430070, China; The Cooperative Innovation Center for Sustainable Pig Production, Wuhan, Hubei 430070, China; Hubei Hongshan Laboratory, Wuhan, Hubei 430070, China
| | - Shuhong Zhao
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education and Key Laboratory of Swine Genetics and Breeding of Ministry of Agriculture, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, Hubei 430070, China; The Cooperative Innovation Center for Sustainable Pig Production, Wuhan, Hubei 430070, China; Hubei Hongshan Laboratory, Wuhan, Hubei 430070, China.
| | - Zhuqing Zheng
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education and Key Laboratory of Swine Genetics and Breeding of Ministry of Agriculture, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, Hubei 430070, China; Institute of Agricultural Biotechnology, Jingchu University of Technology, Jingmen, Hubei 448000, China.
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6
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Zhao Z, Wang Y, Zhang Z, Li SC. Protocol to analyze population structure and migration history based on human genome variation data. STAR Protoc 2023; 4:101928. [PMID: 36520631 PMCID: PMC9758492 DOI: 10.1016/j.xpro.2022.101928] [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: 07/24/2022] [Revised: 10/26/2022] [Accepted: 11/21/2022] [Indexed: 12/15/2022] Open
Abstract
We describe a protocol to integrate genome variation data from different datasets and explore the population structure and migration history of human populations. This protocol provides semi-automated scripts to perform and visualize the effect of variant filtering strategy on eliminating batch effects, principal component analysis, ancestry component analysis, historical population effective size inference, and migration and isolation analysis based on independent biallelic SNPs, genotype likelihoods, and haplotypes. The protocol can be adapted to variation data from other sources. For complete details on the use and execution of this protocol, please refer to Zhang et al. (2022).1.
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Affiliation(s)
- Zicheng Zhao
- Department of Computer Science, City University of Hong Kong, Kowloon 999077, Hong Kong; Shenzhen Byoryn Technology Co., Ltd., Shenzhen 518000, China
| | - Yinan Wang
- Peking University Shenzhen Hospital, 1120 Lianhua Road, Shenzhen 518036, China; School of Medicine, Southern University of Science and Technology, 1088 Xueyuan Avenue, Shenzhen 518055, China
| | - Zhe Zhang
- Department of Cardiology, Zhuhai People's Hospital (Zhuhai Hospital Affiliated with Jinan University), No. 79 Kanning Road, Zhuhai 519000, China
| | - Shuai Cheng Li
- Department of Computer Science, City University of Hong Kong, Kowloon 999077, Hong Kong.
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7
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Joseph SK, Migliore NR, Olivieri A, Torroni A, Owings AC, DeGiorgio M, Ordóñez WG, Aguilú JO, González-Andrade F, Achilli A, Lindo J. Genomic evidence for adaptation to tuberculosis in the Andes before European contact. iScience 2023; 26:106034. [PMID: 36824277 PMCID: PMC9941198 DOI: 10.1016/j.isci.2023.106034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 11/11/2022] [Accepted: 01/17/2023] [Indexed: 01/25/2023] Open
Abstract
Most studies focusing on human high-altitude adaptation in the Andean highlands have thus far been focused on Peruvian populations. We present high-coverage whole genomes from Indigenous people living in the Ecuadorian highlands and perform multi-method scans to detect positive natural selection. We identified regions of the genome that show signals of strong selection to both cardiovascular and hypoxia pathways, which are distinct from those uncovered in Peruvian populations. However, the strongest signals of selection were related to regions of the genome that are involved in immune function related to tuberculosis. Given our estimated timing of this selection event, the Indigenous people of Ecuador may have adapted to Mycobacterium tuberculosis thousands of years before the arrival of Europeans. Furthermore, we detect a population collapse that coincides with the arrival of Europeans, which is more severe than other regions of the Andes, suggesting differing effects of contact across high-altitude populations.
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Affiliation(s)
- Sophie K. Joseph
- Department of Anthropology, Emory University, Atlanta, GA 30322, USA
| | - Nicola Rambaldi Migliore
- Department of Biology and Biotechnology “L. Spallanzani”, University of Pavia, Pavia 27100, Italy
| | - Anna Olivieri
- Department of Biology and Biotechnology “L. Spallanzani”, University of Pavia, Pavia 27100, Italy
| | - Antonio Torroni
- Department of Biology and Biotechnology “L. Spallanzani”, University of Pavia, Pavia 27100, Italy
| | - Amanda C. Owings
- Department of Biology, University of Iowa, Iowa City, IA 52242, USA
| | - Michael DeGiorgio
- Department of Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL 33431, USA
| | | | | | - Fabricio González-Andrade
- Translational Medicine Unit, Central University of Ecuador, Faculty of Medical Sciences, Iquique N14-121 y Sodiro-Itchimbia, Sector El Dorado, 170403 Quito, Ecuador,Corresponding author
| | - Alessandro Achilli
- Department of Biology and Biotechnology “L. Spallanzani”, University of Pavia, Pavia 27100, Italy,Corresponding author
| | - John Lindo
- Department of Anthropology, Emory University, Atlanta, GA 30322, USA,Corresponding author
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8
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Bernal MA, Yule DL, Stott W, Evrard L, Dowling TE, Krabbenhoft TJ. Concordant patterns of morphological, stable isotope, and genetic variation in a recent ecological radiation (Salmonidae: Coregonus spp.). Mol Ecol 2022; 31:4495-4509. [PMID: 35785504 DOI: 10.1111/mec.16596] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 04/11/2022] [Accepted: 05/04/2022] [Indexed: 11/28/2022]
Abstract
Groups of sympatric taxa with low inter-specific genetic differentiation, but considerable ecological differences, offer great opportunities to study the dynamics of divergence and speciation. This is the case of ciscoes (Coregonus spp.) in the Laurentian Great Lakes, which are characterized by a complex evolutionary history and are commonly described as having undergone an adaptive radiation. In this study, morphometrics, stable isotopes and transcriptome sequencing were used to study the relationships within the Coregonus artedi complex in western Lake Superior. We observed general concordance for morphological, ecological and genomic variation, but the latter was more taxonomically informative as it showed less overlap among species in multivariate space. Low levels of genetic differentiation were observed between individuals morphologically identified as C. hoyi and C. zenithicus, which could be evidence of incomplete lineage sorting or recent hybridization between the two groups. Transcriptome-based single nucleotide polymorphisms exhibited significant divergence for genes associated with vision, development, metabolism and immunity among species that occupy different habitats. This study highlights the importance of using an integrative approach when studying groups of taxa with a complex evolutionary history, as individual-level analyses of multiple independent datasets can provide a clearer picture of the patterns and processes associated with the origins of biodiversity.
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Affiliation(s)
- Moisés A Bernal
- Department of Biological Sciences, College of Science and Mathematics, Auburn University, Auburn, Alabama 36849, United States of America.,Department of Biological Sciences and RENEW Institute, University at Buffalo, Buffalo, NY 14260, United States of America
| | - Daniel L Yule
- U.S. Geological Survey, Great Lakes Science Center - Lake Superior Biological Station, 2800 Lake Shore Drive E., Ashland, WI 54806, United States of America
| | - Wendylee Stott
- Michigan State University CESU working for U.S. Geological Survey, Great Lakes Science Center, 1451 Green Road, Ann Arbor, MI 48105-2807, United States of America
| | - Lori Evrard
- U.S. Geological Survey, Great Lakes Science Center - Lake Superior Biological Station, 2800 Lake Shore Drive E., Ashland, WI 54806, United States of America
| | - Thomas E Dowling
- Wayne State University, Department of Biological Sciences, Detroit, Michigan, 48202, United States of America
| | - Trevor J Krabbenhoft
- Department of Biological Sciences and RENEW Institute, University at Buffalo, Buffalo, NY 14260, United States of America
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9
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Sun K, Yao Y, Yun L, Zhang C, Xie J, Qian X, Tang Q, Sun L. Application of machine learning for ancestry inference using multi-InDel markers. Forensic Sci Int Genet 2022; 59:102702. [DOI: 10.1016/j.fsigen.2022.102702] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Revised: 03/22/2022] [Accepted: 03/27/2022] [Indexed: 01/04/2023]
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10
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The Tibetan-Yi region is both a corridor and a barrier for human gene flow. Cell Rep 2022; 39:110720. [PMID: 35476999 DOI: 10.1016/j.celrep.2022.110720] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 11/08/2021] [Accepted: 03/31/2022] [Indexed: 11/22/2022] Open
Abstract
The Tibetan-Yi Corridor (TYC) region between Tibet and the rest of east Asia has served as a crossroads for human migrations for thousands of years. The lack of whole-genome sequencing data specific to the TYC populations has hindered the understanding of the fundamental patterns of migration and divergence between humans in east Asia and southeast Asia. Here, we provide 248 individual whole genomes from the 16 TYC and 3 outgroup populations to elucidate historical relationships. We find that the Tibetan plateau forms an important barrier to gene flow, with a more Tibetan-like ancestry in northern populations and a southern east Asian-related ancestry in south populations. An isolated population, Achang, shows a prolonged isolation and genetic drift compared to other TYC populations. We also note that previous claims regarding the history and structure of TYC populations inferred by linguistics are incompatible with the genetic evidence.
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11
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Chiu AM, Molloy EK, Tan Z, Talwalkar A, Sankararaman S. Inferring population structure in biobank-scale genomic data. Am J Hum Genet 2022; 109:727-737. [PMID: 35298920 PMCID: PMC9069078 DOI: 10.1016/j.ajhg.2022.02.015] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Accepted: 02/21/2022] [Indexed: 01/07/2023] Open
Abstract
Inferring the structure of human populations from genetic variation data is a key task in population and medical genomic studies. Although a number of methods for population structure inference have been proposed, current methods are impractical to run on biobank-scale genomic datasets containing millions of individuals and genetic variants. We introduce SCOPE, a method for population structure inference that is orders of magnitude faster than existing methods while achieving comparable accuracy. SCOPE infers population structure in about a day on a dataset containing one million individuals and variants as well as on the UK Biobank dataset containing 488,363 individuals and 569,346 variants. Furthermore, SCOPE can leverage allele frequencies from previous studies to improve the interpretability of population structure estimates.
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Affiliation(s)
- Alec M Chiu
- Bioinformatics Interdepartmental Program, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Erin K Molloy
- Department of Computer Science, University of California, Los Angeles, Los Angeles, CA 90095, USA; Institute for Advanced Computer Studies, University of Maryland, College Park, College Park, MD 20742, USA
| | - Zilong Tan
- Facebook, Inc., Menlo Park, CA 94025, USA
| | - Ameet Talwalkar
- Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - Sriram Sankararaman
- Bioinformatics Interdepartmental Program, University of California, Los Angeles, Los Angeles, CA 90095, USA; Department of Computer Science, University of California, Los Angeles, Los Angeles, CA 90095, USA; Department of Human Genetics, University of California, Los Angeles, Los Angeles, CA 90095, USA; Department of Computational Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA.
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12
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Aganezov S, Yan SM, Soto DC, Kirsche M, Zarate S, Avdeyev P, Taylor DJ, Shafin K, Shumate A, Xiao C, Wagner J, McDaniel J, Olson ND, Sauria MEG, Vollger MR, Rhie A, Meredith M, Martin S, Lee J, Koren S, Rosenfeld JA, Paten B, Layer R, Chin CS, Sedlazeck FJ, Hansen NF, Miller DE, Phillippy AM, Miga KH, McCoy RC, Dennis MY, Zook JM, Schatz MC. A complete reference genome improves analysis of human genetic variation. Science 2022; 376:eabl3533. [PMID: 35357935 DOI: 10.1126/science.abl3533] [Citation(s) in RCA: 123] [Impact Index Per Article: 61.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Compared to its predecessors, the Telomere-to-Telomere CHM13 genome adds nearly 200 million base pairs of sequence, corrects thousands of structural errors, and unlocks the most complex regions of the human genome for clinical and functional study. We show how this reference universally improves read mapping and variant calling for 3202 and 17 globally diverse samples sequenced with short and long reads, respectively. We identify hundreds of thousands of variants per sample in previously unresolved regions, showcasing the promise of the T2T-CHM13 reference for evolutionary and biomedical discovery. Simultaneously, this reference eliminates tens of thousands of spurious variants per sample, including reduction of false positives in 269 medically relevant genes by up to a factor of 12. Because of these improvements in variant discovery coupled with population and functional genomic resources, T2T-CHM13 is positioned to replace GRCh38 as the prevailing reference for human genetics.
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Affiliation(s)
- Sergey Aganezov
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
| | - Stephanie M Yan
- Department of Biology, Johns Hopkins University, Baltimore, MD, USA
| | - Daniela C Soto
- Department of Biochemistry and Molecular Medicine, Genome Center, MIND Institute, University of California, Davis, CA, USA
| | - Melanie Kirsche
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
| | - Samantha Zarate
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
| | - Pavel Avdeyev
- Genome Informatics Section, National Human Genome Research Institute, Bethesda, MD, USA
| | - Dylan J Taylor
- Department of Biology, Johns Hopkins University, Baltimore, MD, USA
| | - Kishwar Shafin
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA
| | - Alaina Shumate
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Chunlin Xiao
- National Center for Biotechnology Information, National Library of Medicine, Bethesda, MD, USA
| | - Justin Wagner
- National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Jennifer McDaniel
- National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Nathan D Olson
- National Institute of Standards and Technology, Gaithersburg, MD, USA
| | | | - Mitchell R Vollger
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Arang Rhie
- Genome Informatics Section, National Human Genome Research Institute, Bethesda, MD, USA
| | - Melissa Meredith
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA
| | - Skylar Martin
- Department of Computer Science and Biofrontiers Institute, University of Colorado, Boulder, CO, USA
| | - Joyce Lee
- Bionano Genomics, San Diego, CA, USA
| | - Sergey Koren
- Genome Informatics Section, National Human Genome Research Institute, Bethesda, MD, USA
| | | | - Benedict Paten
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA
| | - Ryan Layer
- Department of Computer Science and Biofrontiers Institute, University of Colorado, Boulder, CO, USA
| | | | - Fritz J Sedlazeck
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Nancy F Hansen
- Comparative Genomics Analysis Unit, National Human Genome Research Institute, Rockville, MD, USA
| | - Danny E Miller
- Department of Genome Sciences, University of Washington, Seattle, WA, USA.,Department of Pediatrics, Division of Genetic Medicine, University of Washington and Seattle Children's Hospital, Seattle, WA, USA
| | - Adam M Phillippy
- Genome Informatics Section, National Human Genome Research Institute, Bethesda, MD, USA
| | - Karen H Miga
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA
| | - Rajiv C McCoy
- Department of Biology, Johns Hopkins University, Baltimore, MD, USA
| | - Megan Y Dennis
- Department of Biochemistry and Molecular Medicine, Genome Center, MIND Institute, University of California, Davis, CA, USA
| | - Justin M Zook
- National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Michael C Schatz
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA.,Department of Biology, Johns Hopkins University, Baltimore, MD, USA.,Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
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13
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Cheng JY, Stern AJ, Racimo F, Nielsen R. Detecting Selection in Multiple Populations by Modeling Ancestral Admixture Components. Mol Biol Evol 2022; 39:msab294. [PMID: 34626111 PMCID: PMC8763095 DOI: 10.1093/molbev/msab294] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
One of the most powerful and commonly used approaches for detecting local adaptation in the genome is the identification of extreme allele frequency differences between populations. In this article, we present a new maximum likelihood method for finding regions under positive selection. It is based on a Gaussian approximation to allele frequency changes and it incorporates admixture between populations. The method can analyze multiple populations simultaneously and retains power to detect selection signatures specific to ancestry components that are not representative of any extant populations. Using simulated data, we compare our method to related approaches, and show that it is orders of magnitude faster than the state-of-the-art, while retaining similar or higher power for most simulation scenarios. We also apply it to human genomic data and identify loci with extreme genetic differentiation between major geographic groups. Many of the genes identified are previously known selected loci relating to hair pigmentation and morphology, skin, and eye pigmentation. We also identify new candidate regions, including various selected loci in the Native American component of admixed Mexican-Americans. These involve diverse biological functions, such as immunity, fat distribution, food intake, vision, and hair development.
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Affiliation(s)
- Jade Yu Cheng
- Lundbeck GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Department of Integrative Biology, University of California, Berkeley, Berkeley, CA, USA
| | - Aaron J Stern
- Graduate Group in Computational Biology, University of California, Berkeley, Berkeley, CA, USA
| | - Fernando Racimo
- Lundbeck GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Rasmus Nielsen
- Lundbeck GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Department of Integrative Biology, University of California, Berkeley, Berkeley, CA, USA
- Department of Statistics, University of California, Berkeley, Berkeley, CA, USA
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14
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Privé F, Aschard H, Carmi S, Folkersen L, Hoggart C, O'Reilly PF, Vilhjálmsson BJ. Portability of 245 polygenic scores when derived from the UK Biobank and applied to 9 ancestry groups from the same cohort. Am J Hum Genet 2022; 109:12-23. [PMID: 34995502 PMCID: PMC8764121 DOI: 10.1016/j.ajhg.2021.11.008] [Citation(s) in RCA: 112] [Impact Index Per Article: 56.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Accepted: 11/04/2021] [Indexed: 12/25/2022] Open
Abstract
The low portability of polygenic scores (PGSs) across global populations is a major concern that must be addressed before PGSs can be used for everyone in the clinic. Indeed, prediction accuracy has been shown to decay as a function of the genetic distance between the training and test cohorts. However, such cohorts differ not only in their genetic distance but also in their geographical distance and their data collection and assaying, conflating multiple factors. In this study, we examine the extent to which PGSs are transferable between ancestries by deriving polygenic scores for 245 curated traits from the UK Biobank data and applying them in nine ancestry groups from the same cohort. By restricting both training and testing to the UK Biobank data, we reduce the risk of environmental and genotyping confounding from using different cohorts. We define the nine ancestry groups at a sub-continental level, based on a simple, robust, and effective method that we introduce here. We then apply two different predictive methods to derive polygenic scores for all 245 phenotypes and show a systematic and dramatic reduction in portability of PGSs trained using Northwestern European individuals and applied to nine ancestry groups. These analyses demonstrate that prediction already drops off within European ancestries and reduces globally in proportion to genetic distance. Altogether, our study provides unique and robust insights into the PGS portability problem.
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Affiliation(s)
- Florian Privé
- National Centre for Register-Based Research, Aarhus University, Aarhus 8210, Denmark.
| | - Hugues Aschard
- Department of Computational Biology, Institut Pasteur, Paris 75015, France; Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Shai Carmi
- Braun School of Public Health and Community Medicine, The Hebrew University of Jerusalem, Jerusalem 9112102, Israel
| | | | - Clive Hoggart
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Paul F O'Reilly
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Bjarni J Vilhjálmsson
- National Centre for Register-Based Research, Aarhus University, Aarhus 8210, Denmark; Bioinformatics Research Centre, Aarhus University, Aarhus 8000, Denmark
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15
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Yan SM, Sherman RM, Taylor DJ, Nair DR, Bortvin AN, Schatz MC, McCoy RC. Local adaptation and archaic introgression shape global diversity at human structural variant loci. eLife 2021; 10:e67615. [PMID: 34528508 PMCID: PMC8492059 DOI: 10.7554/elife.67615] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Accepted: 09/14/2021] [Indexed: 12/13/2022] Open
Abstract
Large genomic insertions and deletions are a potent source of functional variation, but are challenging to resolve with short-read sequencing, limiting knowledge of the role of such structural variants (SVs) in human evolution. Here, we used a graph-based method to genotype long-read-discovered SVs in short-read data from diverse human genomes. We then applied an admixture-aware method to identify 220 SVs exhibiting extreme patterns of frequency differentiation - a signature of local adaptation. The top two variants traced to the immunoglobulin heavy chain locus, tagging a haplotype that swept to near fixation in certain southeast Asian populations, but is rare in other global populations. Further investigation revealed evidence that the haplotype traces to gene flow from Neanderthals, corroborating the role of immune-related genes as prominent targets of adaptive introgression. Our study demonstrates how recent technical advances can help resolve signatures of key evolutionary events that remained obscured within technically challenging regions of the genome.
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Affiliation(s)
- Stephanie M Yan
- Department of Biology, Johns Hopkins University, BaltimoreBaltimoreUnited States
| | - Rachel M Sherman
- Department of Computer Science, Johns Hopkins UniversityBaltimoreUnited States
| | - Dylan J Taylor
- Department of Biology, Johns Hopkins University, BaltimoreBaltimoreUnited States
| | - Divya R Nair
- Department of Biology, Johns Hopkins University, BaltimoreBaltimoreUnited States
| | - Andrew N Bortvin
- Department of Biology, Johns Hopkins University, BaltimoreBaltimoreUnited States
| | - Michael C Schatz
- Department of Biology, Johns Hopkins University, BaltimoreBaltimoreUnited States
- Department of Computer Science, Johns Hopkins UniversityBaltimoreUnited States
| | - Rajiv C McCoy
- Department of Biology, Johns Hopkins University, BaltimoreBaltimoreUnited States
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16
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Lindo J, DeGiorgio M. Understanding the Adaptive Evolutionary Histories of South American Ancient and Present-Day Populations via Genomics. Genes (Basel) 2021; 12:360. [PMID: 33801556 PMCID: PMC8001801 DOI: 10.3390/genes12030360] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Revised: 02/18/2021] [Accepted: 02/22/2021] [Indexed: 12/03/2022] Open
Abstract
The South American continent is remarkably diverse in its ecological zones, spanning the Amazon rainforest, the high-altitude Andes, and Tierra del Fuego. Yet the original human populations of the continent successfully inhabited all these zones, well before the buffering effects of modern technology. Therefore, it is likely that the various cultures were successful, in part, due to positive natural selection that allowed them to successfully establish populations for thousands of years. Detecting positive selection in these populations is still in its infancy, as the ongoing effects of European contact have decimated many of these populations and introduced gene flow from outside of the continent. In this review, we explore hypotheses of possible human biological adaptation, methods to identify positive selection, the utilization of ancient DNA, and the integration of modern genomes through the identification of genomic tracts that reflect the ancestry of the first populations of the Americas.
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Affiliation(s)
- John Lindo
- Department of Anthropology, Emory University, Atlanta, GA 30322, USA
| | - Michael DeGiorgio
- Department of Computer and Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL 33431, USA
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17
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Librado P, Khan N, Fages A, Kusliy MA, Suchan T, Tonasso-Calvière L, Schiavinato S, Alioglu D, Fromentier A, Perdereau A, Aury JM, Gaunitz C, Chauvey L, Seguin-Orlando A, Der Sarkissian C, Southon J, Shapiro B, Tishkin AA, Kovalev AA, Alquraishi S, Alfarhan AH, Al-Rasheid KAS, Seregély T, Klassen L, Iversen R, Bignon-Lau O, Bodu P, Olive M, Castel JC, Boudadi-Maligne M, Alvarez N, Germonpré M, Moskal-del Hoyo M, Wilczyński J, Pospuła S, Lasota-Kuś A, Tunia K, Nowak M, Rannamäe E, Saarma U, Boeskorov G, Lōugas L, Kyselý R, Peške L, Bălășescu A, Dumitrașcu V, Dobrescu R, Gerber D, Kiss V, Szécsényi-Nagy A, Mende BG, Gallina Z, Somogyi K, Kulcsár G, Gál E, Bendrey R, Allentoft ME, Sirbu G, Dergachev V, Shephard H, Tomadini N, Grouard S, Kasparov A, Basilyan AE, Anisimov MA, Nikolskiy PA, Pavlova EY, Pitulko V, Brem G, Wallner B, Schwall C, Keller M, Kitagawa K, Bessudnov AN, Bessudnov A, Taylor W, Magail J, Gantulga JO, Bayarsaikhan J, Erdenebaatar D, Tabaldiev K, Mijiddorj E, Boldgiv B, Tsagaan T, Pruvost M, Olsen S, Makarewicz CA, Valenzuela Lamas S, Albizuri Canadell S, Nieto Espinet A, Iborra MP, Lira Garrido J, Rodríguez González E, Celestino S, Olària C, Arsuaga JL, Kotova N, Pryor A, Crabtree P, Zhumatayev R, Toleubaev A, Morgunova NL, Kuznetsova T, Lordkipanize D, Marzullo M, Prato O, Bagnasco Gianni G, Tecchiati U, Clavel B, Lepetz S, Davoudi H, Mashkour M, Berezina NY, Stockhammer PW, Krause J, Haak W, Morales-Muñiz A, Benecke N, Hofreiter M, Ludwig A, Graphodatsky AS, Peters J, Kiryushin KY, Iderkhangai TO, Bokovenko NA, Vasiliev SK, Seregin NN, Chugunov KV, Plasteeva NA, Baryshnikov GF, Petrova E, Sablin M, Ananyevskaya E, Logvin A, Shevnina I, Logvin V, Kalieva S, Loman V, Kukushkin I, Merz I, Merz V, Sakenov S, Varfolomeyev V, Usmanova E, Zaibert V, Arbuckle B, Belinskiy AB, Kalmykov A, Reinhold S, Hansen S, Yudin AI, Vybornov AA, Epimakhov A, Berezina NS, Roslyakova N, Kosintsev PA, Kuznetsov PF, Anthony D, Kroonen GJ, Kristiansen K, Wincker P, Outram A, Orlando L. The origins and spread of domestic horses from the Western Eurasian steppes. Nature 2021; 598:634-640. [PMID: 34671162 PMCID: PMC8550961 DOI: 10.1038/s41586-021-04018-9] [Citation(s) in RCA: 69] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Accepted: 09/10/2021] [Indexed: 01/13/2023]
Abstract
Domestication of horses fundamentally transformed long-range mobility and warfare1. However, modern domesticated breeds do not descend from the earliest domestic horse lineage associated with archaeological evidence of bridling, milking and corralling2-4 at Botai, Central Asia around 3500 BC3. Other longstanding candidate regions for horse domestication, such as Iberia5 and Anatolia6, have also recently been challenged. Thus, the genetic, geographic and temporal origins of modern domestic horses have remained unknown. Here we pinpoint the Western Eurasian steppes, especially the lower Volga-Don region, as the homeland of modern domestic horses. Furthermore, we map the population changes accompanying domestication from 273 ancient horse genomes. This reveals that modern domestic horses ultimately replaced almost all other local populations as they expanded rapidly across Eurasia from about 2000 BC, synchronously with equestrian material culture, including Sintashta spoke-wheeled chariots. We find that equestrianism involved strong selection for critical locomotor and behavioural adaptations at the GSDMC and ZFPM1 genes. Our results reject the commonly held association7 between horseback riding and the massive expansion of Yamnaya steppe pastoralists into Europe around 3000 BC8,9 driving the spread of Indo-European languages10. This contrasts with the scenario in Asia where Indo-Iranian languages, chariots and horses spread together, following the early second millennium BC Sintashta culture11,12.
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Affiliation(s)
- Pablo Librado
- grid.15781.3a0000 0001 0723 035XCentre d’Anthropobiologie et de Génomique de Toulouse, Université Paul Sabatier, Toulouse, France
| | - Naveed Khan
- grid.15781.3a0000 0001 0723 035XCentre d’Anthropobiologie et de Génomique de Toulouse, Université Paul Sabatier, Toulouse, France ,grid.440522.50000 0004 0478 6450Department of Biotechnology, Abdul Wali Khan University, Mardan, Pakistan
| | - Antoine Fages
- grid.15781.3a0000 0001 0723 035XCentre d’Anthropobiologie et de Génomique de Toulouse, Université Paul Sabatier, Toulouse, France
| | - Mariya A. Kusliy
- grid.15781.3a0000 0001 0723 035XCentre d’Anthropobiologie et de Génomique de Toulouse, Université Paul Sabatier, Toulouse, France ,grid.415877.80000 0001 2254 1834Department of the Diversity and Evolution of Genomes, Institute of Molecular and Cellular Biology SB RAS, Novosibirsk, Russia
| | - Tomasz Suchan
- grid.15781.3a0000 0001 0723 035XCentre d’Anthropobiologie et de Génomique de Toulouse, Université Paul Sabatier, Toulouse, France ,grid.413454.30000 0001 1958 0162W. Szafer Institute of Botany, Polish Academy of Sciences, Kraków, Poland
| | - Laure Tonasso-Calvière
- grid.15781.3a0000 0001 0723 035XCentre d’Anthropobiologie et de Génomique de Toulouse, Université Paul Sabatier, Toulouse, France
| | - Stéphanie Schiavinato
- grid.15781.3a0000 0001 0723 035XCentre d’Anthropobiologie et de Génomique de Toulouse, Université Paul Sabatier, Toulouse, France
| | - Duha Alioglu
- grid.15781.3a0000 0001 0723 035XCentre d’Anthropobiologie et de Génomique de Toulouse, Université Paul Sabatier, Toulouse, France
| | - Aurore Fromentier
- grid.15781.3a0000 0001 0723 035XCentre d’Anthropobiologie et de Génomique de Toulouse, Université Paul Sabatier, Toulouse, France
| | - Aude Perdereau
- grid.460789.40000 0004 4910 6535Genoscope, Institut de biologie François-Jacob, Commissariat à l’Energie Atomique (CEA), Université Paris-Saclay, Evry, France
| | - Jean-Marc Aury
- grid.8390.20000 0001 2180 5818Génomique Métabolique, Genoscope, Institut de biologie François Jacob, CEA, CNRS, Université d’Evry, Université Paris-Saclay, Evry, France
| | - Charleen Gaunitz
- grid.15781.3a0000 0001 0723 035XCentre d’Anthropobiologie et de Génomique de Toulouse, Université Paul Sabatier, Toulouse, France
| | - Lorelei Chauvey
- grid.15781.3a0000 0001 0723 035XCentre d’Anthropobiologie et de Génomique de Toulouse, Université Paul Sabatier, Toulouse, France
| | - Andaine Seguin-Orlando
- grid.15781.3a0000 0001 0723 035XCentre d’Anthropobiologie et de Génomique de Toulouse, Université Paul Sabatier, Toulouse, France
| | - Clio Der Sarkissian
- grid.15781.3a0000 0001 0723 035XCentre d’Anthropobiologie et de Génomique de Toulouse, Université Paul Sabatier, Toulouse, France
| | - John Southon
- grid.266093.80000 0001 0668 7243Earth System Science Department, University of California, Irvine, Irvine, CA USA
| | - Beth Shapiro
- grid.205975.c0000 0001 0740 6917Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, Santa Cruz, CA USA ,grid.205975.c0000 0001 0740 6917Howard Hughes Medical Institute, University of California, Santa Cruz, Santa Cruz, CA USA
| | - Alexey A. Tishkin
- grid.77225.350000000112611077Department of Archaeology, Ethnography and Museology, Altai State University, Barnaul, Russia
| | - Alexey A. Kovalev
- grid.465449.e0000 0001 1214 1108Department of Archaeological Heritage Preservation, Institute of Archaeology of the Russian Academy of Sciences, Moscow, Russia
| | - Saleh Alquraishi
- grid.56302.320000 0004 1773 5396Zoology Department, College of Science, King Saud University, Riyadh, Saudi Arabia
| | - Ahmed H. Alfarhan
- grid.56302.320000 0004 1773 5396Zoology Department, College of Science, King Saud University, Riyadh, Saudi Arabia
| | - Khaled A. S. Al-Rasheid
- grid.56302.320000 0004 1773 5396Zoology Department, College of Science, King Saud University, Riyadh, Saudi Arabia
| | - Timo Seregély
- grid.7359.80000 0001 2325 4853Institute for Archaeology, Heritage Conservation Studies and Art History, University of Bamberg, Bamberg, Germany
| | | | - Rune Iversen
- grid.5254.60000 0001 0674 042XSaxo Institute, section of Archaeology, University of Copenhagen, Copenhagen, Denmark
| | - Olivier Bignon-Lau
- grid.4444.00000 0001 2112 9282ArScAn-UMR 7041, Equipe Ethnologie préhistorique, CNRS, MSH-Mondes, Nanterre Cedex, France
| | - Pierre Bodu
- grid.4444.00000 0001 2112 9282ArScAn-UMR 7041, Equipe Ethnologie préhistorique, CNRS, MSH-Mondes, Nanterre Cedex, France
| | - Monique Olive
- grid.4444.00000 0001 2112 9282ArScAn-UMR 7041, Equipe Ethnologie préhistorique, CNRS, MSH-Mondes, Nanterre Cedex, France
| | | | - Myriam Boudadi-Maligne
- grid.412041.20000 0001 2106 639XUMR 5199 De la Préhistoire à l’Actuel : Culture, Environnement et Anthropologie (PACEA), CNRS, Université de Bordeaux, Pessac Cedex, France
| | - Nadir Alvarez
- grid.466902.f0000 0001 2248 6951Geneva Natural History Museum, Geneva, Switzerland ,grid.8591.50000 0001 2322 4988Department of Genetics and Evolution, University of Geneva, Geneva, Switzerland
| | - Mietje Germonpré
- grid.20478.390000 0001 2171 9581OD Earth & History of Life, Royal Belgian Institute of Natural Sciences, Brussels, Belgium
| | - Magdalena Moskal-del Hoyo
- grid.413454.30000 0001 1958 0162W. Szafer Institute of Botany, Polish Academy of Sciences, Kraków, Poland
| | - Jarosław Wilczyński
- grid.413454.30000 0001 1958 0162Institute of Systematics and Evolution of Animals, Polish Academy of Sciences, Kraków, Poland
| | - Sylwia Pospuła
- grid.413454.30000 0001 1958 0162Institute of Systematics and Evolution of Animals, Polish Academy of Sciences, Kraków, Poland
| | - Anna Lasota-Kuś
- grid.413454.30000 0001 1958 0162Institute of Archaeology and Ethnology Polish Academy of Sciences, Kraków, Poland
| | - Krzysztof Tunia
- grid.413454.30000 0001 1958 0162Institute of Archaeology and Ethnology Polish Academy of Sciences, Kraków, Poland
| | - Marek Nowak
- grid.5522.00000 0001 2162 9631Institute of Archaeology, Jagiellonian University, Kraków, Poland
| | - Eve Rannamäe
- Department of Archaeology, Institute of History and Archaeology, Tartu, Estonia
| | - Urmas Saarma
- grid.10939.320000 0001 0943 7661Department of Zoology, Institute of Ecology and Earth Sciences, University of Tartu, Tartu, Estonia
| | - Gennady Boeskorov
- Diamond and Precious Metals Geology Institute, SB RAS, Yakutsk, Russia
| | - Lembi Lōugas
- grid.8207.d0000 0000 9774 6466Archaeological Research Collection, Tallinn University, Tallinn, Estonia
| | - René Kyselý
- grid.447879.10000 0001 0792 540XDepartment of Natural Sciences and Archaeometry, Institute of Archaeology of the Czech Academy of Sciences, Prague, Czechia
| | | | - Adrian Bălășescu
- grid.418333.e0000 0004 1937 1389Vasile Pârvan Institute of Archaeology, Department of Bioarchaeology, Romanian Academy, Bucharest, Romania
| | - Valentin Dumitrașcu
- grid.418333.e0000 0004 1937 1389Vasile Pârvan Institute of Archaeology, Department of Bioarchaeology, Romanian Academy, Bucharest, Romania
| | - Roxana Dobrescu
- grid.418333.e0000 0004 1937 1389Vasile Pârvan Institute of Archaeology, Department of Bioarchaeology, Romanian Academy, Bucharest, Romania
| | - Daniel Gerber
- grid.481823.4Institute of Archaeogenomics, Research Centre for the Humanities, Eötvös Loránd Research Network, Budapest, Hungary ,grid.5591.80000 0001 2294 6276Department of Genetics, Eötvös Loránd University, Budapest, Hungary
| | - Viktória Kiss
- grid.481830.60000 0001 2238 5843Institute of Archaeology, Research Centre for the Humanities, Eötvös Loránd Research Network, Budapest, Hungary
| | - Anna Szécsényi-Nagy
- grid.481823.4Institute of Archaeogenomics, Research Centre for the Humanities, Eötvös Loránd Research Network, Budapest, Hungary
| | - Balázs G. Mende
- grid.481823.4Institute of Archaeogenomics, Research Centre for the Humanities, Eötvös Loránd Research Network, Budapest, Hungary
| | | | | | - Gabriella Kulcsár
- grid.481830.60000 0001 2238 5843Institute of Archaeology, Research Centre for the Humanities, Eötvös Loránd Research Network, Budapest, Hungary
| | - Erika Gál
- grid.481830.60000 0001 2238 5843Institute of Archaeology, Research Centre for the Humanities, Eötvös Loránd Research Network, Budapest, Hungary
| | - Robin Bendrey
- grid.4305.20000 0004 1936 7988School of History, Classics and Archaeology, University of Edinburgh, Old Medical School, Edinburgh, UK
| | - Morten E. Allentoft
- grid.1032.00000 0004 0375 4078Trace and Environmental DNA (TrEnD) Lab, School of Molecular and Life Sciences, Curtin University, Perth, Western Australia Australia ,grid.5254.60000 0001 0674 042XLundbeck Foundation GeoGenetics Centre, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Ghenadie Sirbu
- grid.435140.7Department of Academic Management, Academy of Science of Moldova, Chișinău, Republic of Moldova
| | - Valentin Dergachev
- grid.435140.7Center of Archaeology, Institute of Cultural Heritage, Academy of Science of Moldova, Chișinău, Republic of Moldova
| | - Henry Shephard
- grid.446391.d0000 0001 2190 3450Archaeological Institute of America, Boston, MA USA
| | - Noémie Tomadini
- Centre National de Recherche Scientifique, Muséum national d’Histoire naturelle, Archéozoologie, Archéobotanique (AASPE), CP 56, Paris, France
| | - Sandrine Grouard
- Centre National de Recherche Scientifique, Muséum national d’Histoire naturelle, Archéozoologie, Archéobotanique (AASPE), CP 56, Paris, France
| | - Aleksei Kasparov
- grid.473277.20000 0001 2291 1890Institute for the History of Material Culture, Russian Academy of Sciences (IHMC RAS), St Petersburg, Russia
| | | | - Mikhail A. Anisimov
- grid.424187.c0000 0001 1942 9788Arctic and Antarctic Research Institute, St Petersburg, Russia
| | - Pavel A. Nikolskiy
- grid.465388.4Geological Institute, Russian Academy of Sciences, Moscow, Russia
| | - Elena Y. Pavlova
- grid.424187.c0000 0001 1942 9788Arctic and Antarctic Research Institute, St Petersburg, Russia
| | - Vladimir Pitulko
- grid.473277.20000 0001 2291 1890Institute for the History of Material Culture, Russian Academy of Sciences (IHMC RAS), St Petersburg, Russia
| | - Gottfried Brem
- grid.6583.80000 0000 9686 6466Institute of Animal Breeding and Genetics, University of Veterinary Medicine Vienna, Vienna, Austria
| | - Barbara Wallner
- grid.6583.80000 0000 9686 6466Institute of Animal Breeding and Genetics, University of Veterinary Medicine Vienna, Vienna, Austria
| | - Christoph Schwall
- grid.466489.10000 0001 2151 4674Department of Prehistory and Western Asian/Northeast African Archaeology, Austrian Archaeological Institute, Austrian Academy of Sciences, Vienna, Austria
| | - Marcel Keller
- grid.10939.320000 0001 0943 7661Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu, Estonia ,grid.469873.70000 0004 4914 1197Department of Archaeogenetics, Max Planck Institute for the Science of Human History, Jena, Germany
| | - Keiko Kitagawa
- grid.10392.390000 0001 2190 1447SFB 1070 Resource Cultures, University of Tübingen, Tübingen, Germany ,grid.10392.390000 0001 2190 1447Department of Early Prehistory and Quaternary Ecology, University of Tübingen, Tübingen, Germany ,grid.4444.00000 0001 2112 9282UMR 7194 Muséum National d’Histoire Naturelle, CNRS, UPVD, Paris, France
| | - Alexander N. Bessudnov
- grid.459698.f0000 0000 8989 8101Semenov-Tyan-Shanskii Lipetsk State Pedagogical University, Lipetsk, Russia
| | - Alexander Bessudnov
- grid.473277.20000 0001 2291 1890Institute for the History of Material Culture, Russian Academy of Sciences (IHMC RAS), St Petersburg, Russia
| | - William Taylor
- grid.266190.a0000000096214564Museum of Natural History, University of Colorado-Boulder, Boulder, CO USA
| | - Jérome Magail
- Musée d’Anthropologie préhistorique de Monaco, Monaco, Monaco
| | - Jamiyan-Ombo Gantulga
- grid.425564.40000 0004 0587 3863Institute of Archaeology, Mongolian Academy of Sciences, Ulaanbaatar, Mongolia
| | - Jamsranjav Bayarsaikhan
- grid.469873.70000 0004 4914 1197Department of Archaeology, Max Planck Institute for the Science of Human History, Jena, Germany ,Chinggis Khaan Museum, Ulaanbaatar, Mongolia
| | | | - Kubatbeek Tabaldiev
- grid.444269.90000 0004 0387 4627Department of History, Kyrgyz-Turkish Manas University, Bishkek, Kyrgyzstan
| | - Enkhbayar Mijiddorj
- Department of Archaeology, Ulaanbaatar State University, Ulaanbaatar, Mongolia
| | - Bazartseren Boldgiv
- grid.260731.10000 0001 2324 0259Department of Biology, National University of Mongolia, Ulaanbaatar, Mongolia
| | - Turbat Tsagaan
- grid.425564.40000 0004 0587 3863Institute of Archaeology, Mongolian Academy of Sciences, Ulaanbaatar, Mongolia
| | - Mélanie Pruvost
- grid.412041.20000 0001 2106 639XUMR 5199 De la Préhistoire à l’Actuel : Culture, Environnement et Anthropologie (PACEA), CNRS, Université de Bordeaux, Pessac Cedex, France
| | - Sandra Olsen
- grid.266515.30000 0001 2106 0692Division of Archaeology, Biodiversity Institute, University of Kansas, Lawrence, KS USA
| | - Cheryl A. Makarewicz
- grid.9764.c0000 0001 2153 9986Institute for Prehistoric and Protohistoric Archaeology, Kiel University, Kiel, Germany ,grid.9764.c0000 0001 2153 9986ROOTS Excellence Cluster, Kiel University, Kiel, Germany
| | - Silvia Valenzuela Lamas
- grid.4711.30000 0001 2183 4846Archaeology of Social Dynamics, Institució Milà i Fontanals d’Humanitats, Consejo Superior de Investigaciones Científicas (IMF-CSIC), Barcelona, Spain
| | - Silvia Albizuri Canadell
- grid.5841.80000 0004 1937 0247Departament d’Història i Arqueologia–SERP, Universitat de Barcelona, Barcelona, Spain
| | - Ariadna Nieto Espinet
- grid.15043.330000 0001 2163 1432Grup d’Investigació Prehistòrica, Universitat de Lleida, PID2019-110022GB-I00, Lleida, Spain
| | | | - Jaime Lira Garrido
- grid.8393.10000000119412521Departamento de Medicina Animal, Facultad de Veterinaria, Universidad de Extremadura, Cáceres, Spain ,Centro Mixto UCM-ISCIII de Evolución y Comportamiento Humanos, Madrid, Spain
| | | | - Sebastián Celestino
- grid.454770.50000 0001 1945 3489Instituto de Arqueología (CSIC–Junta de Extremadura), Mérida, Spain
| | - Carmen Olària
- grid.9612.c0000 0001 1957 9153Laboratori d’Arqueologia Prehistòrica, Universitat Jaume I, Castelló de la Plana, Spain
| | - Juan Luis Arsuaga
- Centro Mixto UCM-ISCIII de Evolución y Comportamiento Humanos, Madrid, Spain ,grid.4795.f0000 0001 2157 7667Departamento de Geodinámica, Estratigrafía y Paleontología, Facultad de Ciencias Geológicas, Universidad Complutense de Madrid, Madrid, Spain
| | - Nadiia Kotova
- grid.418751.e0000 0004 0385 8977Department of Eneolithic and Bronze Age, Institute of Archaeology National Academy of Sciences of Ukraine, Kyiv, Ukraine
| | - Alexander Pryor
- grid.8391.30000 0004 1936 8024Department of Archaeology, University of Exeter, Exeter, UK
| | - Pam Crabtree
- grid.137628.90000 0004 1936 8753Center for the Study of Human Origins, Anthropology Department, New York University, New York, NY USA
| | - Rinat Zhumatayev
- grid.77184.3d0000 0000 8887 5266Department of Archaeology, Ethnology and Museology, Al Farabi Kazakh National University, Almaty, Kazakhstan
| | - Abdesh Toleubaev
- grid.77184.3d0000 0000 8887 5266Department of Archaeology, Ethnology and Museology, Al Farabi Kazakh National University, Almaty, Kazakhstan
| | - Nina L. Morgunova
- grid.445474.20000 0001 1092 7131Scientific Research Department, Orenburg State Pedagogical University, Orenburg, Russia
| | - Tatiana Kuznetsova
- grid.14476.300000 0001 2342 9668Department of paleontology, Faculty of Geology, Moscow State University, Moscow, Russia ,grid.77268.3c0000 0004 0543 9688Institute of Geology and Petroleum Technologies, Kazan Federal University, Kazan, Russia
| | - David Lordkipanize
- grid.452450.20000 0001 0739 408XGeorgian National Museum, Tbilisi, Georgia ,grid.26193.3f0000 0001 2034 6082Tbilisi State University, Tbilisi, Georgia
| | - Matilde Marzullo
- grid.4708.b0000 0004 1757 2822Università degli Studi di Milano, Dipartimento di Beni Culturali e Ambientali, Milan, Italy
| | - Ornella Prato
- grid.4708.b0000 0004 1757 2822Università degli Studi di Milano, Dipartimento di Beni Culturali e Ambientali, Milan, Italy
| | - Giovanna Bagnasco Gianni
- grid.4708.b0000 0004 1757 2822Università degli Studi di Milano, Dipartimento di Beni Culturali e Ambientali, Milan, Italy
| | - Umberto Tecchiati
- grid.4708.b0000 0004 1757 2822Università degli Studi di Milano, Dipartimento di Beni Culturali e Ambientali, Milan, Italy
| | - Benoit Clavel
- Centre National de Recherche Scientifique, Muséum national d’Histoire naturelle, Archéozoologie, Archéobotanique (AASPE), CP 56, Paris, France
| | - Sébastien Lepetz
- Centre National de Recherche Scientifique, Muséum national d’Histoire naturelle, Archéozoologie, Archéobotanique (AASPE), CP 56, Paris, France
| | - Hossein Davoudi
- grid.46072.370000 0004 0612 7950University of Tehran, Central Laboratory, Bioarchaeology Laboratory, Archaeozoology Section, Tehran, Iran
| | - Marjan Mashkour
- Centre National de Recherche Scientifique, Muséum national d’Histoire naturelle, Archéozoologie, Archéobotanique (AASPE), CP 56, Paris, France ,grid.46072.370000 0004 0612 7950University of Tehran, Central Laboratory, Bioarchaeology Laboratory, Archaeozoology Section, Tehran, Iran
| | - Natalia Ya. Berezina
- grid.14476.300000 0001 2342 9668Research Institute and Museum of Anthropology, Lomonosov Moscow State University, Moscow, Russia
| | - Philipp W. Stockhammer
- grid.419518.00000 0001 2159 1813Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany ,grid.5252.00000 0004 1936 973XInstitute for Pre- and Protohistoric Archaeology and Archaeology of the Roman Provinces, Ludwig Maximilian University, Munich, Munich, Germany
| | - Johannes Krause
- grid.469873.70000 0004 4914 1197Department of Archaeogenetics, Max Planck Institute for the Science of Human History, Jena, Germany ,grid.419518.00000 0001 2159 1813Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Wolfgang Haak
- grid.469873.70000 0004 4914 1197Department of Archaeogenetics, Max Planck Institute for the Science of Human History, Jena, Germany ,grid.419518.00000 0001 2159 1813Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany ,grid.1010.00000 0004 1936 7304School of Biological Sciences, The University of Adelaide, Adelaide, South Australia Australia
| | - Arturo Morales-Muñiz
- grid.5515.40000000119578126Department of Biology, Universidad Autónoma de Madrid, Madrid, Spain
| | - Norbert Benecke
- grid.424195.f0000 0001 2106 6832Eurasia Department of the German Archaeological Institute, Berlin, Germany
| | - Michael Hofreiter
- grid.11348.3f0000 0001 0942 1117Evolutionary Adaptive Genomics, Institute of Biochemistry and Biology, Faculty of Mathematics and Science, University of Potsdam, Potsdam, Germany
| | - Arne Ludwig
- grid.418779.40000 0001 0708 0355Department of Evolutionary Genetics, Leibniz-Institute for Zoo and Wildlife Research, Berlin, Germany ,grid.7468.d0000 0001 2248 7639Albrecht Daniel Thaer-Institute, Faculty of Life Sciences, Humboldt University Berlin, Berlin, Germany
| | - Alexander S. Graphodatsky
- grid.415877.80000 0001 2254 1834Department of the Diversity and Evolution of Genomes, Institute of Molecular and Cellular Biology SB RAS, Novosibirsk, Russia
| | - Joris Peters
- grid.5252.00000 0004 1936 973XArchaeoBioCenter and Institute of Palaeoanatomy, Domestication Research and the History of Veterinary Medicine, LMU Munich, Munich, Germany ,grid.452781.d0000 0001 2203 6205SNSB, State Collection of Anthropology and Palaeoanatomy, Munich, Germany
| | - Kirill Yu. Kiryushin
- grid.77225.350000000112611077Department of Archaeology, Ethnography and Museology, Altai State University, Barnaul, Russia
| | | | - Nikolay A. Bokovenko
- grid.473277.20000 0001 2291 1890Institute for the History of Material Culture, Russian Academy of Sciences (IHMC RAS), St Petersburg, Russia
| | - Sergey K. Vasiliev
- grid.415877.80000 0001 2254 1834ArchaeoZOOlogy in Siberia and Central Asia—ZooSCAn International Research Laboratory, Institute of Archeology and Ethnography of the Siberian Branch of the RAS, Novosibirsk, Russia
| | - Nikolai N. Seregin
- grid.77225.350000000112611077Department of Archaeology, Ethnography and Museology, Altai State University, Barnaul, Russia
| | - Konstantin V. Chugunov
- grid.426493.e0000 0004 1800 742XDepartment of Eastern European and Siberian Archaeology, State Hermitage Museum, St Petersburg, Russia
| | - Natalya A. Plasteeva
- grid.482778.60000 0001 2197 0186Paleoecology Laboratory, Institute of Plant and Animal Ecology, Ural Branch of the Russian Academy of Sciences, Ekaterinburg, Russia
| | - Gennady F. Baryshnikov
- grid.439287.30000 0001 2314 7601Zoological Institute, Russian Academy of Sciences, St Petersburg, Russia
| | - Ekaterina Petrova
- grid.6441.70000 0001 2243 2806Department of Archaeology, History Faculty, Vilnius University, Vilnius, Lithuania
| | - Mikhail Sablin
- grid.439287.30000 0001 2314 7601Zoological Institute, Russian Academy of Sciences, St Petersburg, Russia
| | - Elina Ananyevskaya
- grid.6441.70000 0001 2243 2806Department of Archaeology, History Faculty, Vilnius University, Vilnius, Lithuania
| | - Andrey Logvin
- grid.443586.8Laboratory for Archaeological Research, Faculty of History and Law, Kostanay State University, Kostanay, Kazakhstan
| | - Irina Shevnina
- grid.443586.8Laboratory for Archaeological Research, Faculty of History and Law, Kostanay State University, Kostanay, Kazakhstan
| | - Victor Logvin
- Department of History and Archaeology, Surgut Governmental University, Surgut, Russia
| | - Saule Kalieva
- Department of History and Archaeology, Surgut Governmental University, Surgut, Russia
| | - Valeriy Loman
- Saryarka Archaeological Institute, Buketov Karaganda University, Karaganda, Kazakhstan
| | - Igor Kukushkin
- Saryarka Archaeological Institute, Buketov Karaganda University, Karaganda, Kazakhstan
| | - Ilya Merz
- Toraighyrov University, Joint Research Center for Archeological Studies, Pavlodar, Kazakhstan
| | - Victor Merz
- Toraighyrov University, Joint Research Center for Archeological Studies, Pavlodar, Kazakhstan
| | - Sergazy Sakenov
- grid.55380.3b0000 0004 0398 5415Faculty of History, L. N. Gumilev Eurasian National University, Nur-Sultan, Kazakhstan
| | - Victor Varfolomeyev
- Saryarka Archaeological Institute, Buketov Karaganda University, Karaganda, Kazakhstan
| | - Emma Usmanova
- Saryarka Archaeological Institute, Buketov Karaganda University, Karaganda, Kazakhstan
| | - Viktor Zaibert
- grid.77184.3d0000 0000 8887 5266Institute of Archaeology and Steppe Civilizations, Al-Farabi Kazakh National University, Almaty, Kazakhstan
| | - Benjamin Arbuckle
- grid.10698.360000000122483208Department of Anthropology, Alumni Building, University of North Carolina at Chapel Hill, Chapel Hill, NC USA
| | | | | | - Sabine Reinhold
- grid.424195.f0000 0001 2106 6832Eurasia Department of the German Archaeological Institute, Berlin, Germany
| | - Svend Hansen
- grid.424195.f0000 0001 2106 6832Eurasia Department of the German Archaeological Institute, Berlin, Germany
| | - Aleksandr I. Yudin
- Research Center for the Preservation of Cultural Heritage, Saratov, Russia
| | - Alekandr A. Vybornov
- grid.445790.b0000 0001 2218 2982Department of Russian History and Archaeology, Samara State University of Social Sciences and Education, Samara, Russia
| | - Andrey Epimakhov
- grid.440724.10000 0000 9958 5862Russian and Foreign History Department, South Ural State University, Chelyabinsk, Russia ,grid.465317.20000 0001 2224 8785South Ural Department, Institute of History and Archaeology, Ural Branch of the Russian Academy of Sciences, Ekaterinburg, Russia
| | - Natalia S. Berezina
- Archaeological School, Chuvash State Institute of Humanities, Cheboksary, Russia
| | - Natalia Roslyakova
- grid.445790.b0000 0001 2218 2982Department of Russian History and Archaeology, Samara State University of Social Sciences and Education, Samara, Russia
| | - Pavel A. Kosintsev
- grid.482778.60000 0001 2197 0186Paleoecology Laboratory, Institute of Plant and Animal Ecology, Ural Branch of the Russian Academy of Sciences, Ekaterinburg, Russia ,grid.412761.70000 0004 0645 736XDepartment of History of the Institute of Humanities, Ural Federal University, Ekaterinburg, Russia
| | - Pavel F. Kuznetsov
- grid.445790.b0000 0001 2218 2982Department of Russian History and Archaeology, Samara State University of Social Sciences and Education, Samara, Russia
| | - David Anthony
- grid.38142.3c000000041936754XDepartment of Human Evolutionary Biology, Harvard University, Cambridge, MA USA ,grid.418410.80000 0001 0115 6427Anthropology Faculty, Hartwick College, Oneonta NY, USA
| | - Guus J. Kroonen
- grid.5254.60000 0001 0674 042XDepartment of Nordic Studies and Linguistics, University of Copenhagen, Copenhagen, Denmark ,grid.5132.50000 0001 2312 1970Leiden University Center for Linguistics, Leiden University, Leiden, The Netherlands
| | - Kristian Kristiansen
- grid.8761.80000 0000 9919 9582Department of Historical Studies, University of Gothenburg, Gothenburg, Sweden ,grid.452548.a0000 0000 9817 5300Present Address: Lundbeck Foundation GeoGenetics Centre, Copenhagen, Denmark
| | - Patrick Wincker
- grid.8390.20000 0001 2180 5818Génomique Métabolique, Genoscope, Institut de biologie François Jacob, CEA, CNRS, Université d’Evry, Université Paris-Saclay, Evry, France
| | - Alan Outram
- grid.8391.30000 0004 1936 8024Department of Archaeology, University of Exeter, Exeter, UK
| | - Ludovic Orlando
- grid.15781.3a0000 0001 0723 035XCentre d’Anthropobiologie et de Génomique de Toulouse, Université Paul Sabatier, Toulouse, France
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18
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Orlando L. The Evolutionary and Historical Foundation of the Modern Horse: Lessons from Ancient Genomics. Annu Rev Genet 2020; 54:563-581. [PMID: 32960653 DOI: 10.1146/annurev-genet-021920-011805] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
The domestication of the horse some 5,500 years ago followed those of dogs, sheep, goats, cattle, and pigs by ∼2,500-10,000 years. By providing fast transportation and transforming warfare, the horse had an impact on human history with no equivalent in the animal kingdom. Even though the equine sport industry has considerable economic value today, the evolutionary history underlying the emergence of the modern domestic horse remains contentious. In the last decade, novel sequencing technologies have revolutionized our capacity to sequence the complete genome of organisms, including from archaeological remains. Applied to horses, these technologies have provided unprecedented levels of information and have considerably changed models of horse domestication. This review illustrates how ancient DNA, especially ancient genomes, has inspired researchers to rethink the process by which horses were first domesticated and then diversified into a variety of breeds showing a range of traits that are useful to humans.
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Affiliation(s)
- Ludovic Orlando
- Laboratoire d'Anthropobiologie Moléculaire et Imagerie de Synthèse, Faculté de Médecine Purpan, Université Toulouse III-Paul Sabatier, 31000 Toulouse, France;
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19
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Ravagni S, Sanchez-Donoso I, Vilà C. Biased assessment of ongoing admixture using STRUCTURE in the absence of reference samples. Mol Ecol Resour 2020; 21:677-689. [PMID: 33085825 DOI: 10.1111/1755-0998.13286] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2020] [Revised: 10/05/2020] [Accepted: 10/09/2020] [Indexed: 11/30/2022]
Abstract
Detection of hybridization and introgression is important in ecological research as in conservation and evolutionary biology. STRUCTURE is one of the most popular software to study introgression and allows estimating what proportion of the genome of each individual belongs to each ancestral population, even in cases where no reference sample from the ancestral nonadmixed populations is previously identified. In spite of its frequent use, some studies have indicated that ancestry estimates may not always be reliable. We simulated population data under different conditions with regard to the genetic differentiation between ancestral populations, number of loci considered, number of alleles per marker and hybridization rate, and analysed data with STRUCTURE. When reference samples were not included, the comparison of the known degree of admixture for each simulated individual and the value estimated with STRUCTURE revealed a strong underestimation of the level of introgression, classifying many admixed individuals as nonadmixed. This derives from an inaccurate estimation of the ancestral allele frequencies. When samples from the nonadmixed ancestral population were included as reference in the analyses, the bias in the estimations was reduced. The most accurate estimates were obtained when potentially admixed samples were few in relation to reference samples. Thus, whenever possible, a very large proportion of nonadmixed reference samples should be included in admixture assessments and different approaches should be combined. The misestimate of the amount of introgression can impair our understanding of the evolutionary history of species and misguide conservation efforts.
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Affiliation(s)
- Sara Ravagni
- Conservation and Evolutionary Genetics Group, Doñana Biological Station (EBD-CSIC), Seville, Spain
| | - Ines Sanchez-Donoso
- Conservation and Evolutionary Genetics Group, Doñana Biological Station (EBD-CSIC), Seville, Spain
| | - Carles Vilà
- Conservation and Evolutionary Genetics Group, Doñana Biological Station (EBD-CSIC), Seville, Spain
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20
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Margaryan A, Lawson DJ, Sikora M, Racimo F, Rasmussen S, Moltke I, Cassidy LM, Jørsboe E, Ingason A, Pedersen MW, Korneliussen T, Wilhelmson H, Buś MM, de Barros Damgaard P, Martiniano R, Renaud G, Bhérer C, Moreno-Mayar JV, Fotakis AK, Allen M, Allmäe R, Molak M, Cappellini E, Scorrano G, McColl H, Buzhilova A, Fox A, Albrechtsen A, Schütz B, Skar B, Arcini C, Falys C, Jonson CH, Błaszczyk D, Pezhemsky D, Turner-Walker G, Gestsdóttir H, Lundstrøm I, Gustin I, Mainland I, Potekhina I, Muntoni IM, Cheng J, Stenderup J, Ma J, Gibson J, Peets J, Gustafsson J, Iversen KH, Simpson L, Strand L, Loe L, Sikora M, Florek M, Vretemark M, Redknap M, Bajka M, Pushkina T, Søvsø M, Grigoreva N, Christensen T, Kastholm O, Uldum O, Favia P, Holck P, Sten S, Arge SV, Ellingvåg S, Moiseyev V, Bogdanowicz W, Magnusson Y, Orlando L, Pentz P, Jessen MD, Pedersen A, Collard M, Bradley DG, Jørkov ML, Arneborg J, Lynnerup N, Price N, Gilbert MTP, Allentoft ME, Bill J, Sindbæk SM, Hedeager L, Kristiansen K, Nielsen R, Werge T, Willerslev E. Population genomics of the Viking world. Nature 2020. [PMID: 32939067 DOI: 10.1038/s41586-020–2688-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
The maritime expansion of Scandinavian populations during the Viking Age (about AD 750-1050) was a far-flung transformation in world history1,2. Here we sequenced the genomes of 442 humans from archaeological sites across Europe and Greenland (to a median depth of about 1×) to understand the global influence of this expansion. We find the Viking period involved gene flow into Scandinavia from the south and east. We observe genetic structure within Scandinavia, with diversity hotspots in the south and restricted gene flow within Scandinavia. We find evidence for a major influx of Danish ancestry into England; a Swedish influx into the Baltic; and Norwegian influx into Ireland, Iceland and Greenland. Additionally, we see substantial ancestry from elsewhere in Europe entering Scandinavia during the Viking Age. Our ancient DNA analysis also revealed that a Viking expedition included close family members. By comparing with modern populations, we find that pigmentation-associated loci have undergone strong population differentiation during the past millennium, and trace positively selected loci-including the lactase-persistence allele of LCT and alleles of ANKA that are associated with the immune response-in detail. We conclude that the Viking diaspora was characterized by substantial transregional engagement: distinct populations influenced the genomic makeup of different regions of Europe, and Scandinavia experienced increased contact with the rest of the continent.
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Affiliation(s)
- Ashot Margaryan
- Lundbeck Foundation GeoGenetics Centre, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark.,Institute of Molecular Biology, National Academy of Sciences, Yerevan, Armenia.,Section for Evolutionary Genomics, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Daniel J Lawson
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.,School of Statistical Sciences, University of Bristol, Bristol, UK
| | - Martin Sikora
- Lundbeck Foundation GeoGenetics Centre, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Fernando Racimo
- Lundbeck Foundation GeoGenetics Centre, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Simon Rasmussen
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ida Moltke
- The Bioinformatics Centre, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Lara M Cassidy
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
| | - Emil Jørsboe
- The Bioinformatics Centre, Department of Biology, University of Copenhagen, Copenhagen, Denmark.,Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Andrés Ingason
- 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 Services Copenhagen, Copenhagen, Denmark
| | - Mikkel W Pedersen
- Lundbeck Foundation GeoGenetics Centre, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Thorfinn Korneliussen
- Lundbeck Foundation GeoGenetics Centre, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark.,HSE University, Russian Federation National Research University Higher School of Economics, Moscow, Russia
| | - Helene Wilhelmson
- Department of Archaeology and Ancient History, Lund University, Lund, Sweden.,Sydsvensk Arkeologi AB, Kristianstad, Sweden
| | - Magdalena M Buś
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Peter de Barros Damgaard
- Lundbeck Foundation GeoGenetics Centre, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Rui Martiniano
- Department of Genetics, University of Cambridge, Cambridge, UK
| | - Gabriel Renaud
- Lundbeck Foundation GeoGenetics Centre, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark.,Department of Health Technology, Section for Bioinformatics, Technical University of Denmark (DTU), Copenhagen, Denmark
| | - Claude Bhérer
- Department of Human Genetics, McGill University, Montréal, Quebec, Canada
| | - J Víctor Moreno-Mayar
- Lundbeck Foundation GeoGenetics Centre, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark.,National Institute of Genomic Medicine (INMEGEN), Mexico City, Mexico
| | - Anna K Fotakis
- Section for Evolutionary Genomics, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Marie Allen
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Raili Allmäe
- Archaeological Research Collection, Tallinn University, Tallinn, Estonia
| | - Martyna Molak
- Museum and Institute of Zoology, Polish Academy of Sciences, Warsaw, Poland
| | - Enrico Cappellini
- Section for Evolutionary Genomics, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Gabriele Scorrano
- Section for Evolutionary Genomics, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Hugh McColl
- Lundbeck Foundation GeoGenetics Centre, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Alexandra Buzhilova
- Anuchin Research Institute and Museum of Anthropology, Moscow State University, Moscow, Russia
| | - Allison Fox
- Manx National Heritage, Douglas, Isle of Man
| | - Anders Albrechtsen
- The Bioinformatics Centre, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | | | - Birgitte Skar
- NTNU University Museum, Department of Archaeology and Cultural History, Trondheim, Norway
| | - Caroline Arcini
- The Archaeologists, National Historical Museums, Stockholm, Sweden
| | - Ceri Falys
- Thames Valley Archaeological Services (TVAS), Reading, UK
| | | | | | - Denis Pezhemsky
- Anuchin Research Institute and Museum of Anthropology, Moscow State University, Moscow, Russia
| | - Gordon Turner-Walker
- Department of Cultural Heritage Conservation, National Yunlin University of Science and Technology, Douliou, Taiwan
| | | | - Inge Lundstrøm
- Section for Evolutionary Genomics, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Ingrid Gustin
- Department of Archaeology and Ancient History, Lund University, Lund, Sweden
| | - Ingrid Mainland
- UHI Archaeology Institute, University of the Highlands and Islands, Kirkwall, UK
| | - Inna Potekhina
- Department of Bioarchaeology, Institute of Archaeology of National Academy of Sciences of Ukraine, Kiev, Ukraine
| | - Italo M Muntoni
- Soprintendenza Archeologia, Belle Arti e Paesaggio per le Province di Barletta, Andria, Trani e Foggia, Foggia, Italy
| | - Jade Cheng
- Lundbeck Foundation GeoGenetics Centre, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Jesper Stenderup
- Lundbeck Foundation GeoGenetics Centre, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Jilong Ma
- Lundbeck Foundation GeoGenetics Centre, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Julie Gibson
- UHI Archaeology Institute, University of the Highlands and Islands, Kirkwall, UK
| | - Jüri Peets
- Archaeological Research Collection, Tallinn University, Tallinn, Estonia
| | | | - Katrine H Iversen
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Department of Health Technology, Section for Bioinformatics, Technical University of Denmark (DTU), Copenhagen, Denmark
| | | | - Lisa Strand
- NTNU University Museum, Department of Archaeology and Cultural History, Trondheim, Norway
| | - Louise Loe
- Heritage Burial Services, Oxford Archaeology, Oxford, UK
| | | | - Marek Florek
- Institute of Archaeology, Maria Curie-Sklodowska University in Lublin, Lublin, Poland
| | | | - Mark Redknap
- Department of History and Archaeology, Amgueddfa Cymru-National Museum Wales, Cardiff, UK
| | - Monika Bajka
- Trzy Epoki Archaeological Service, Klimontów, Poland
| | | | | | - Natalia Grigoreva
- Department of Slavic-Finnish Archaeology, Institute for the History of Material Culture, Russian Academy of Sciences, Saint Petersburg, Russia
| | | | - Ole Kastholm
- Department of Research and Heritage, Roskilde Museum, Roskilde, Denmark
| | | | - Pasquale Favia
- Department of Humanities, University of Foggia, Foggia, Italy
| | - Per Holck
- Department of Molecular Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Sabine Sten
- Department of Archaeology and Ancient History, Uppsala University Campus Gotland, Visby, Sweden
| | - Símun V Arge
- Tjóðsavnið - Faroe Islands National Museum, Tórshavn, Faroe Islands
| | - Sturla Ellingvåg
- Lundbeck Foundation GeoGenetics Centre, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Vayacheslav Moiseyev
- Peter the Great Museum of Anthropology and Ethnography (Kunstkamera), Russian Academy of Science, St Petersburg, Russia
| | | | | | - Ludovic Orlando
- Laboratoire d'Anthropobiologie Moléculaire et d'Imagerie de Synthèse, CNRS UMR 5288, Université de Toulouse, Université Paul Sabatier, Toulouse, France
| | - Peter Pentz
- National Museum of Denmark, Copenhagen, Denmark
| | | | | | - Mark Collard
- Department of Archaeology, Simon Fraser University, Burnaby, British Colombia, Canada
| | - Daniel G Bradley
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
| | - Marie Louise Jørkov
- Department of Forensic Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Jette Arneborg
- National Museum of Denmark, Copenhagen, Denmark.,School of GeoSciences, University of Edinburgh, Edinburgh, UK
| | - Niels Lynnerup
- Department of Forensic Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Neil Price
- Department of Archaeology and Ancient History, Uppsala University, Uppsala, Sweden
| | - M Thomas P Gilbert
- Section for Evolutionary Genomics, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark.,Department of Natural History, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - 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 Sciences, Curtin University, Perth, Western Australia, Australia
| | - Jan Bill
- Museum of Cultural History, University of Oslo, Oslo, Norway
| | - Søren M Sindbæk
- Centre for Urban Network Evolutions (UrbNet), School of Culture and Society, Aarhus University, Højbjerg, Denmark
| | - Lotte Hedeager
- Institute of Archaeology, Conservation and History, Oslo, Norway
| | | | - Rasmus Nielsen
- Lundbeck Foundation GeoGenetics Centre, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark. .,Department of Integrative Biology, UC Berkeley, Berkeley, CA, USA. .,Department of Statistics, UC Berkeley, Berkeley, CA, USA.
| | - 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 Services Copenhagen, Copenhagen, Denmark. .,The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Copenhagen, Denmark.
| | - Eske Willerslev
- Lundbeck Foundation GeoGenetics Centre, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark. .,Department of Zoology, University of Cambridge, Cambridge, UK. .,The Danish Institute for Advanced Study, University of Southern Denmark, Odense, Denmark. .,The Wellcome Trust Sanger Institute, Cambridge, UK.
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21
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Margaryan A, Lawson DJ, Sikora M, Racimo F, Rasmussen S, Moltke I, Cassidy LM, Jørsboe E, Ingason A, Pedersen MW, Korneliussen T, Wilhelmson H, Buś MM, de Barros Damgaard P, Martiniano R, Renaud G, Bhérer C, Moreno-Mayar JV, Fotakis AK, Allen M, Allmäe R, Molak M, Cappellini E, Scorrano G, McColl H, Buzhilova A, Fox A, Albrechtsen A, Schütz B, Skar B, Arcini C, Falys C, Jonson CH, Błaszczyk D, Pezhemsky D, Turner-Walker G, Gestsdóttir H, Lundstrøm I, Gustin I, Mainland I, Potekhina I, Muntoni IM, Cheng J, Stenderup J, Ma J, Gibson J, Peets J, Gustafsson J, Iversen KH, Simpson L, Strand L, Loe L, Sikora M, Florek M, Vretemark M, Redknap M, Bajka M, Pushkina T, Søvsø M, Grigoreva N, Christensen T, Kastholm O, Uldum O, Favia P, Holck P, Sten S, Arge SV, Ellingvåg S, Moiseyev V, Bogdanowicz W, Magnusson Y, Orlando L, Pentz P, Jessen MD, Pedersen A, Collard M, Bradley DG, Jørkov ML, Arneborg J, Lynnerup N, Price N, Gilbert MTP, Allentoft ME, Bill J, Sindbæk SM, Hedeager L, Kristiansen K, Nielsen R, Werge T, Willerslev E. Population genomics of the Viking world. Nature 2020; 585:390-396. [PMID: 32939067 DOI: 10.1038/s41586-020-2688-8] [Citation(s) in RCA: 76] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2019] [Accepted: 05/21/2020] [Indexed: 12/24/2022]
Abstract
The maritime expansion of Scandinavian populations during the Viking Age (about AD 750-1050) was a far-flung transformation in world history1,2. Here we sequenced the genomes of 442 humans from archaeological sites across Europe and Greenland (to a median depth of about 1×) to understand the global influence of this expansion. We find the Viking period involved gene flow into Scandinavia from the south and east. We observe genetic structure within Scandinavia, with diversity hotspots in the south and restricted gene flow within Scandinavia. We find evidence for a major influx of Danish ancestry into England; a Swedish influx into the Baltic; and Norwegian influx into Ireland, Iceland and Greenland. Additionally, we see substantial ancestry from elsewhere in Europe entering Scandinavia during the Viking Age. Our ancient DNA analysis also revealed that a Viking expedition included close family members. By comparing with modern populations, we find that pigmentation-associated loci have undergone strong population differentiation during the past millennium, and trace positively selected loci-including the lactase-persistence allele of LCT and alleles of ANKA that are associated with the immune response-in detail. We conclude that the Viking diaspora was characterized by substantial transregional engagement: distinct populations influenced the genomic makeup of different regions of Europe, and Scandinavia experienced increased contact with the rest of the continent.
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Affiliation(s)
- Ashot Margaryan
- Lundbeck Foundation GeoGenetics Centre, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark.,Institute of Molecular Biology, National Academy of Sciences, Yerevan, Armenia.,Section for Evolutionary Genomics, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Daniel J Lawson
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.,School of Statistical Sciences, University of Bristol, Bristol, UK
| | - Martin Sikora
- Lundbeck Foundation GeoGenetics Centre, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Fernando Racimo
- Lundbeck Foundation GeoGenetics Centre, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Simon Rasmussen
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ida Moltke
- The Bioinformatics Centre, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Lara M Cassidy
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
| | - Emil Jørsboe
- The Bioinformatics Centre, Department of Biology, University of Copenhagen, Copenhagen, Denmark.,Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Andrés Ingason
- 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 Services Copenhagen, Copenhagen, Denmark
| | - Mikkel W Pedersen
- Lundbeck Foundation GeoGenetics Centre, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Thorfinn Korneliussen
- Lundbeck Foundation GeoGenetics Centre, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark.,HSE University, Russian Federation National Research University Higher School of Economics, Moscow, Russia
| | - Helene Wilhelmson
- Department of Archaeology and Ancient History, Lund University, Lund, Sweden.,Sydsvensk Arkeologi AB, Kristianstad, Sweden
| | - Magdalena M Buś
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Peter de Barros Damgaard
- Lundbeck Foundation GeoGenetics Centre, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Rui Martiniano
- Department of Genetics, University of Cambridge, Cambridge, UK
| | - Gabriel Renaud
- Lundbeck Foundation GeoGenetics Centre, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark.,Department of Health Technology, Section for Bioinformatics, Technical University of Denmark (DTU), Copenhagen, Denmark
| | - Claude Bhérer
- Department of Human Genetics, McGill University, Montréal, Quebec, Canada
| | - J Víctor Moreno-Mayar
- Lundbeck Foundation GeoGenetics Centre, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark.,National Institute of Genomic Medicine (INMEGEN), Mexico City, Mexico
| | - Anna K Fotakis
- Section for Evolutionary Genomics, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Marie Allen
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Raili Allmäe
- Archaeological Research Collection, Tallinn University, Tallinn, Estonia
| | - Martyna Molak
- Museum and Institute of Zoology, Polish Academy of Sciences, Warsaw, Poland
| | - Enrico Cappellini
- Section for Evolutionary Genomics, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Gabriele Scorrano
- Section for Evolutionary Genomics, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Hugh McColl
- Lundbeck Foundation GeoGenetics Centre, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Alexandra Buzhilova
- Anuchin Research Institute and Museum of Anthropology, Moscow State University, Moscow, Russia
| | - Allison Fox
- Manx National Heritage, Douglas, Isle of Man
| | - Anders Albrechtsen
- The Bioinformatics Centre, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | | | - Birgitte Skar
- NTNU University Museum, Department of Archaeology and Cultural History, Trondheim, Norway
| | - Caroline Arcini
- The Archaeologists, National Historical Museums, Stockholm, Sweden
| | - Ceri Falys
- Thames Valley Archaeological Services (TVAS), Reading, UK
| | | | | | - Denis Pezhemsky
- Anuchin Research Institute and Museum of Anthropology, Moscow State University, Moscow, Russia
| | - Gordon Turner-Walker
- Department of Cultural Heritage Conservation, National Yunlin University of Science and Technology, Douliou, Taiwan
| | | | - Inge Lundstrøm
- Section for Evolutionary Genomics, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Ingrid Gustin
- Department of Archaeology and Ancient History, Lund University, Lund, Sweden
| | - Ingrid Mainland
- UHI Archaeology Institute, University of the Highlands and Islands, Kirkwall, UK
| | - Inna Potekhina
- Department of Bioarchaeology, Institute of Archaeology of National Academy of Sciences of Ukraine, Kiev, Ukraine
| | - Italo M Muntoni
- Soprintendenza Archeologia, Belle Arti e Paesaggio per le Province di Barletta, Andria, Trani e Foggia, Foggia, Italy
| | - Jade Cheng
- Lundbeck Foundation GeoGenetics Centre, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Jesper Stenderup
- Lundbeck Foundation GeoGenetics Centre, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Jilong Ma
- Lundbeck Foundation GeoGenetics Centre, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Julie Gibson
- UHI Archaeology Institute, University of the Highlands and Islands, Kirkwall, UK
| | - Jüri Peets
- Archaeological Research Collection, Tallinn University, Tallinn, Estonia
| | | | - Katrine H Iversen
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Department of Health Technology, Section for Bioinformatics, Technical University of Denmark (DTU), Copenhagen, Denmark
| | | | - Lisa Strand
- NTNU University Museum, Department of Archaeology and Cultural History, Trondheim, Norway
| | - Louise Loe
- Heritage Burial Services, Oxford Archaeology, Oxford, UK
| | | | - Marek Florek
- Institute of Archaeology, Maria Curie-Sklodowska University in Lublin, Lublin, Poland
| | | | - Mark Redknap
- Department of History and Archaeology, Amgueddfa Cymru-National Museum Wales, Cardiff, UK
| | - Monika Bajka
- Trzy Epoki Archaeological Service, Klimontów, Poland
| | | | | | - Natalia Grigoreva
- Department of Slavic-Finnish Archaeology, Institute for the History of Material Culture, Russian Academy of Sciences, Saint Petersburg, Russia
| | | | - Ole Kastholm
- Department of Research and Heritage, Roskilde Museum, Roskilde, Denmark
| | | | - Pasquale Favia
- Department of Humanities, University of Foggia, Foggia, Italy
| | - Per Holck
- Department of Molecular Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Sabine Sten
- Department of Archaeology and Ancient History, Uppsala University Campus Gotland, Visby, Sweden
| | - Símun V Arge
- Tjóðsavnið - Faroe Islands National Museum, Tórshavn, Faroe Islands
| | - Sturla Ellingvåg
- Lundbeck Foundation GeoGenetics Centre, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Vayacheslav Moiseyev
- Peter the Great Museum of Anthropology and Ethnography (Kunstkamera), Russian Academy of Science, St Petersburg, Russia
| | | | | | - Ludovic Orlando
- Laboratoire d'Anthropobiologie Moléculaire et d'Imagerie de Synthèse, CNRS UMR 5288, Université de Toulouse, Université Paul Sabatier, Toulouse, France
| | - Peter Pentz
- National Museum of Denmark, Copenhagen, Denmark
| | | | | | - Mark Collard
- Department of Archaeology, Simon Fraser University, Burnaby, British Colombia, Canada
| | - Daniel G Bradley
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
| | - Marie Louise Jørkov
- Department of Forensic Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Jette Arneborg
- National Museum of Denmark, Copenhagen, Denmark.,School of GeoSciences, University of Edinburgh, Edinburgh, UK
| | - Niels Lynnerup
- Department of Forensic Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Neil Price
- Department of Archaeology and Ancient History, Uppsala University, Uppsala, Sweden
| | - M Thomas P Gilbert
- Section for Evolutionary Genomics, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark.,Department of Natural History, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - 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 Sciences, Curtin University, Perth, Western Australia, Australia
| | - Jan Bill
- Museum of Cultural History, University of Oslo, Oslo, Norway
| | - Søren M Sindbæk
- Centre for Urban Network Evolutions (UrbNet), School of Culture and Society, Aarhus University, Højbjerg, Denmark
| | - Lotte Hedeager
- Institute of Archaeology, Conservation and History, Oslo, Norway
| | | | - Rasmus Nielsen
- Lundbeck Foundation GeoGenetics Centre, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark. .,Department of Integrative Biology, UC Berkeley, Berkeley, CA, USA. .,Department of Statistics, UC Berkeley, Berkeley, CA, USA.
| | - 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 Services Copenhagen, Copenhagen, Denmark. .,The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Copenhagen, Denmark.
| | - Eske Willerslev
- Lundbeck Foundation GeoGenetics Centre, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark. .,Department of Zoology, University of Cambridge, Cambridge, UK. .,The Danish Institute for Advanced Study, University of Southern Denmark, Odense, Denmark. .,The Wellcome Trust Sanger Institute, Cambridge, UK.
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22
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Vicuña L, Klimenkova O, Norambuena T, Martinez FI, Fernandez MI, Shchur V, Eyheramendy S. Postadmixture Selection on Chileans Targets Haplotype Involved in Pigmentation, Thermogenesis and Immune Defense against Pathogens. Genome Biol Evol 2020; 12:1459-1470. [PMID: 32614437 PMCID: PMC7487163 DOI: 10.1093/gbe/evaa136] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/24/2020] [Indexed: 12/13/2022] Open
Abstract
Detection of positive selection signatures in populations around the world is helping to uncover recent human evolutionary history as well as the genetic basis of diseases. Most human evolutionary genomic studies have been performed in European, African, and Asian populations. However, populations with Native American ancestry have been largely underrepresented. Here, we used a genome-wide local ancestry enrichment approach complemented with neutral simulations to identify postadmixture adaptations underwent by admixed Chileans through gene flow from Europeans into local Native Americans. The top significant hits (P = 2.4×10-7) are variants in a region on chromosome 12 comprising multiple regulatory elements. This region includes rs12821256, which regulates the expression of KITLG, a well-known gene involved in lighter hair and skin pigmentation in Europeans as well as in thermogenesis. Another variant from that region is associated with the long noncoding RNA RP11-13A1.1, which has been specifically involved in the innate immune response against infectious pathogens. Our results suggest that these genes were relevant for adaptation in Chileans following the Columbian exchange.
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Affiliation(s)
- Lucas Vicuña
- Faculty of Engineering and Sciences, Universidad Adolfo Ibañez, Peñalolén, Santiago, Chile
| | - Olga Klimenkova
- National Research University Higher School of Economics, Russian Federation, Moscow, Russia
| | - Tomás Norambuena
- Faculty of Engineering and Sciences, Universidad Adolfo Ibañez, Peñalolén, Santiago, Chile
| | - Felipe I Martinez
- Center for Intercultural and Indigenous Research, School of Anthropology, Faculty of Social Sciences, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Mario I Fernandez
- Department of Urology, Clínica Alemana, Santiago, Chile
- Center for Genetics and Genomics, Faculty of Medicine, Clínica Alemana, Universidad del Desarrollo, Santiago, Chile
| | - Vladimir Shchur
- National Research University Higher School of Economics, Russian Federation, Moscow, Russia
| | - Susana Eyheramendy
- Faculty of Engineering and Sciences, Universidad Adolfo Ibañez, Peñalolén, Santiago, Chile
- Instituto Milenio de Investigación sobre los Fundamentos de los Datos (IMFD)
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23
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Racimo F, Woodbridge J, Fyfe RM, Sikora M, Sjögren KG, Kristiansen K, Vander Linden M. The spatiotemporal spread of human migrations during the European Holocene. Proc Natl Acad Sci U S A 2020; 117:8989-9000. [PMID: 32238559 PMCID: PMC7183159 DOI: 10.1073/pnas.1920051117] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
The European continent was subject to two major migrations of peoples during the Holocene: the northwestward movement of Anatolian farmer populations during the Neolithic and the westward movement of Yamnaya steppe peoples during the Bronze Age. These movements changed the genetic composition of the continent's inhabitants. The Holocene was also characterized by major changes in vegetation composition, which altered the environment occupied by the original hunter-gatherer populations. We aim to test to what extent vegetation change through time is associated with changes in population composition as a consequence of these migrations, or with changes in climate. Using ancient DNA in combination with geostatistical techniques, we produce detailed maps of ancient population movements, which allow us to visualize how these migrations unfolded through time and space. We find that the spread of Neolithic farmer ancestry had a two-pronged wavefront, in agreement with similar findings on the cultural spread of farming from radiocarbon-dated archaeological sites. This movement, however, did not have a strong association with changes in the vegetational landscape. In contrast, the Yamnaya migration speed was at least twice as fast and coincided with a reduction in the amount of broad-leaf forest and an increase in the amount of pasture and natural grasslands in the continent. We demonstrate the utility of integrating ancient genomes with archaeometric datasets in a spatiotemporal statistical framework, which we foresee will enable future studies of ancient populations' movements, and their putative effects on local fauna and flora.
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Affiliation(s)
- Fernando Racimo
- Lundbeck GeoGenetics Centre, The Globe Institute, University of Copenhagen, 1350 Copenhagen, Denmark;
| | - Jessie Woodbridge
- School of Geography, Earth, and Environmental Sciences, University of Plymouth, Plymouth PL4 8AA, United Kingdom
| | - Ralph M Fyfe
- School of Geography, Earth, and Environmental Sciences, University of Plymouth, Plymouth PL4 8AA, United Kingdom
| | - Martin Sikora
- Lundbeck GeoGenetics Centre, The Globe Institute, University of Copenhagen, 1350 Copenhagen, Denmark
| | - Karl-Göran Sjögren
- Department of Historical Studies, University of Gothenburg, 405 30 Gothenburg, Sweden
| | - Kristian Kristiansen
- Department of Historical Studies, University of Gothenburg, 405 30 Gothenburg, Sweden
| | - Marc Vander Linden
- Department of Archaeology, University of Cambridge, Cambridge CB2 1TN, United Kingdom
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24
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Uren C, Hoal EG, Möller M. Putting RFMix and ADMIXTURE to the test in a complex admixed population. BMC Genet 2020; 21:40. [PMID: 32264823 PMCID: PMC7140372 DOI: 10.1186/s12863-020-00845-3] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2019] [Accepted: 03/24/2020] [Indexed: 12/02/2022] Open
Abstract
Background Global and local ancestry inference in admixed human populations can be performed using computational tools implementing distinct algorithms. The development and resulting accuracy of these tools has been tested largely on populations with relatively straightforward admixture histories but little is known about how well they perform in more complex admixture scenarios. Results Using simulations, we show that RFMix outperforms ADMIXTURE in determining global ancestry proportions even in a complex 5-way admixed population, in addition to assigning local ancestry with an accuracy of 89%. The ability of RFMix to determine global and local ancestry to a high degree of accuracy, particularly in admixed populations provides the opportunity for more accurate association analyses. Conclusion This study highlights the utility of the extension of computational tools to become more compatible to genetically structured populations, as well as the need to expand the sampling of diverse world-wide populations. This is particularly noteworthy as modern-day societies are becoming increasingly genetically complex and some genetic tools and commonly used ancestral populations are less appropriate. Based on these caveats and the results presented here, we suggest that RFMix be used for both global and local ancestry estimation in world-wide complex admixture scenarios particularly when including these estimates in association studies.
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Affiliation(s)
- Caitlin Uren
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Room 4036, 4th Floor Education Building, Francie van Zijl Drive, Cape Town, 8000, South Africa.
| | - Eileen G Hoal
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Room 4036, 4th Floor Education Building, Francie van Zijl Drive, Cape Town, 8000, South Africa
| | - Marlo Möller
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Room 4036, 4th Floor Education Building, Francie van Zijl Drive, Cape Town, 8000, South Africa
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25
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Mai D, Nalley MJ, Bachtrog D. Patterns of Genomic Differentiation in the Drosophila nasuta Species Complex. Mol Biol Evol 2020; 37:208-220. [PMID: 31556453 PMCID: PMC6984368 DOI: 10.1093/molbev/msz215] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
The Drosophila nasuta species complex contains over a dozen recently diverged species that are distributed widely across South-East Asia, and which shows varying degrees of pre- and postzygotic isolation. Here, we assemble a high-quality genome for D. albomicans using single-molecule sequencing and chromatin conformation capture, and draft genomes for 11 additional species and 67 individuals across the clade, to infer the species phylogeny and patterns of genetic diversity in this group. Our assembly recovers entire chromosomes, and we date the origin of this radiation ∼2 Ma. Despite low levels of overall differentiation, most species or subspecies show clear clustering into their designated taxonomic groups using population genetics and phylogenetic methods. Local evolutionary history is heterogeneous across the genome, and differs between the autosomes and the X chromosome for species in the sulfurigaster subgroup, likely due to autosomal introgression. Our study establishes the nasuta species complex as a promising model system to further characterize the evolution of pre- and postzygotic isolation in this clade.
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Affiliation(s)
- Dat Mai
- Department of Integrative Biology, University of California Berkeley, Berkeley, CA
| | - Matthew J Nalley
- Department of Integrative Biology, University of California Berkeley, Berkeley, CA
| | - Doris Bachtrog
- Department of Integrative Biology, University of California Berkeley, Berkeley, CA
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26
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Joseph TA, Pe'er I. Inference of Population Structure from Time-Series Genotype Data. Am J Hum Genet 2019; 105:317-333. [PMID: 31256878 PMCID: PMC6698887 DOI: 10.1016/j.ajhg.2019.06.002] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2019] [Accepted: 06/04/2019] [Indexed: 10/26/2022] Open
Abstract
Sequencing ancient DNA can offer direct probing of population history. Yet, such data are commonly analyzed with standard tools that assume DNA samples are all contemporary. We present DyStruct, a model and inference algorithm for inferring shared ancestry from temporally sampled genotype data. DyStruct explicitly incorporates temporal dynamics by modeling individuals as mixtures of unobserved populations whose allele frequencies drift over time. We develop an efficient inference algorithm for our model using stochastic variational inference. On simulated data, we show that DyStruct outperforms the current state of the art when individuals are sampled over time. Using a dataset of 296 modern and 80 ancient samples, we demonstrate DyStruct is able to capture a well-supported admixture event of steppe ancestry into modern Europe. We further apply DyStruct to a genome-wide dataset of 2,067 modern and 262 ancient samples used to study the origin of farming in the Near East. We show that DyStruct provides new insight into population history when compared with alternate approaches, within feasible run time.
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Affiliation(s)
- Tyler A Joseph
- Department of Computer Science, Columbia University, New York, NY 10027, USA.
| | - Itsik Pe'er
- Department of Computer Science, Columbia University, New York, NY 10027, USA; Department of Systems Biology, Columbia University, New York, NY 10027, USA; Data Science Institute, Columbia University, New York, NY 10027, USA.
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27
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Pinho C, Cardoso V, Hey J. A population genetic assessment of taxonomic species: The case of Lake Malawi cichlid fishes. Mol Ecol Resour 2019; 19:1164-1180. [PMID: 31012255 PMCID: PMC6764894 DOI: 10.1111/1755-0998.13027] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2019] [Revised: 03/20/2019] [Accepted: 04/10/2019] [Indexed: 02/05/2023]
Abstract
Organisms sampled for population‐level research are typically assigned to species by morphological criteria. However, if those criteria are limited to one sex or life stage, or the organisms come from a complex of closely related forms, the species assignments may misdirect analyses. The impact of such sampling can be assessed from the correspondence of genetic clusters, identified only from patterns of genetic variation, to the species identified using only phenotypic criteria. We undertook this protocol with the rock‐dwelling mbuna cichlids of Lake Malawi, for which species within genera are usually identified using adult male coloration patterns. Given high local endemism of male colour patterns, and considerable allele sharing among species, there persists considerable taxonomic uncertainty in these fishes. Over 700 individuals from a single transect were photographed, genotyped and separately assigned: (a) to morphospecies using photographs; and (b) to genetic clusters using five widely used methods. Overall, the correspondence between clustering methods was strong for larger clusters, but methods varied widely in estimated number of clusters. The correspondence between morphospecies and genetic clusters was also strong for larger clusters, as well as some smaller clusters for some methods. These analyses generally affirm (a) adult male‐limited sampling and (b) the taxonomic status of Lake Malawi mbuna, as the species in our study largely appear to be well‐demarcated genetic entities. More generally, our analyses highlight the challenges for clustering methods when the number of populations is unknown, especially in cases of highly uneven sample sizes.
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Affiliation(s)
- Catarina Pinho
- CIBIO/InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Vairão, Portugal
| | - Vera Cardoso
- CIBIO/InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Vairão, Portugal
| | - Jody Hey
- Rutgers, the State University of New Jersey, Piscataway, New Jersey.,CCGG, Center for Computational Genetics and Genomics, Department of Biology, Temple University, Philadelphia, Pennsylvania
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28
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Alves JM, Carneiro M, Cheng JY, Lemos de Matos A, Rahman MM, Loog L, Campos PF, Wales N, Eriksson A, Manica A, Strive T, Graham SC, Afonso S, Bell DJ, Belmont L, Day JP, Fuller SJ, Marchandeau S, Palmer WJ, Queney G, Surridge AK, Vieira FG, McFadden G, Nielsen R, Gilbert MTP, Esteves PJ, Ferrand N, Jiggins FM. Parallel adaptation of rabbit populations to myxoma virus. Science 2019; 363:1319-1326. [PMID: 30765607 DOI: 10.1126/science.aau7285] [Citation(s) in RCA: 91] [Impact Index Per Article: 18.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2018] [Revised: 12/10/2018] [Accepted: 02/01/2019] [Indexed: 12/18/2022]
Abstract
In the 1950s the myxoma virus was released into European rabbit populations in Australia and Europe, decimating populations and resulting in the rapid evolution of resistance. We investigated the genetic basis of resistance by comparing the exomes of rabbits collected before and after the pandemic. We found a strong pattern of parallel evolution, with selection on standing genetic variation favoring the same alleles in Australia, France, and the United Kingdom. Many of these changes occurred in immunity-related genes, supporting a polygenic basis of resistance. We experimentally validated the role of several genes in viral replication and showed that selection acting on an interferon protein has increased the protein's antiviral effect.
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Affiliation(s)
- Joel M Alves
- Department of Genetics, University of Cambridge, Cambridge CB2 3EH, UK. .,CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Universidade do Porto, 4485-661 Vairão, Portugal.,Palaeogenomics and Bio-Archaeology Research Network Research Laboratory for Archaeology and History of Art, University of Oxford, Dyson Perrins Building, South Parks Road, Oxford OX1 3QY, UK
| | - Miguel Carneiro
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Universidade do Porto, 4485-661 Vairão, Portugal. .,Departamento de Biologia, Faculdade de Ciências da Universidade do Porto, 4169-007 Porto, Portugal
| | - Jade Y Cheng
- Departments of Integrative Biology and Statistics, University of California, Berkeley, Berkeley, CA 94720, USA.,Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Copenhagen 1350, Denmark
| | - Ana Lemos de Matos
- The Biodesign Institute, Center for Immunotherapy, Vaccines, and Virotherapy, Arizona State University, Tempe, AZ 85287-5401, USA
| | - Masmudur M Rahman
- The Biodesign Institute, Center for Immunotherapy, Vaccines, and Virotherapy, Arizona State University, Tempe, AZ 85287-5401, USA
| | - Liisa Loog
- Palaeogenomics and Bio-Archaeology Research Network Research Laboratory for Archaeology and History of Art, University of Oxford, Dyson Perrins Building, South Parks Road, Oxford OX1 3QY, UK.,Manchester Institute of Biotechnology, School of Earth and Environmental Sciences, University of Manchester, Manchester M1 7DN, UK
| | - Paula F Campos
- Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Copenhagen 1350, Denmark.,CIIMAR, Interdisciplinary Centre of Marine and Environmental Research, University of Porto, Avenida General Norton de Matos, S/N, 4450-208 Matosinhos, Portugal
| | - Nathan Wales
- Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Copenhagen 1350, Denmark.,Department of Plant and Microbial Biology, University of California, 111 Koshland Hall, Berkeley, CA 94720, USA.,Department of Archaeology, University of York, King's Manor, York YO1 7EP, UK
| | - Anders Eriksson
- Department of Medical and Molecular Genetics, King's College London, London SE1 9RT, UK
| | - Andrea Manica
- Department of Zoology, University of Cambridge, Downing Street, Cambridge CB2 3EJ, UK
| | - Tanja Strive
- Health and Biosecurity, Commonwealth Scientific and Industrial Research Organisation, Canberra, ACT 2601, Australia.,Centre for Invasive Species Solutions, University of Canberra, Bruce, ACT 2601, Australia
| | - Stephen C Graham
- Department of Pathology, University of Cambridge, Cambridge CB2 1QP, UK
| | - Sandra Afonso
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Universidade do Porto, 4485-661 Vairão, Portugal
| | - Diana J Bell
- Centre for Ecology, Evolution and Conservation, School of Biological Sciences, University of East Anglia, Norwich NR4 7TJ, UK
| | - Laura Belmont
- The Biodesign Institute, Center for Immunotherapy, Vaccines, and Virotherapy, Arizona State University, Tempe, AZ 85287-5401, USA
| | - Jonathan P Day
- Department of Genetics, University of Cambridge, Cambridge CB2 3EH, UK
| | - Susan J Fuller
- School of Earth, Environmental and Biological Sciences, Science and Engineering Faculty, Queensland University of Technology, Brisbane, Australia
| | | | - William J Palmer
- The Genome Center and Department of Plant Sciences, University of California, Davis, CA 95616, USA
| | - Guillaume Queney
- ANTAGENE, Wildlife Genetics Laboratory, La Tour de Salvagny (Lyon), France
| | - Alison K Surridge
- Centre for Ecology, Evolution and Conservation, School of Biological Sciences, University of East Anglia, Norwich NR4 7TJ, UK
| | - Filipe G Vieira
- Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Copenhagen 1350, Denmark
| | - Grant McFadden
- The Biodesign Institute, Center for Immunotherapy, Vaccines, and Virotherapy, Arizona State University, Tempe, AZ 85287-5401, USA
| | - Rasmus Nielsen
- Departments of Integrative Biology and Statistics, University of California, Berkeley, Berkeley, CA 94720, USA.,Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Copenhagen 1350, Denmark
| | - M Thomas P Gilbert
- Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Copenhagen 1350, Denmark.,Norwegian University of Science and Technology, University Museum, 7491 Trondheim, Norway
| | - Pedro J Esteves
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Universidade do Porto, 4485-661 Vairão, Portugal.,Instituto de Investigação e Formação Avançada em Ciências e Tecnologias da Saúde (CESPU), Gandra, Portugal
| | - Nuno Ferrand
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Universidade do Porto, 4485-661 Vairão, Portugal.,Departamento de Biologia, Faculdade de Ciências da Universidade do Porto, 4169-007 Porto, Portugal.,Department of Zoology, Faculty of Sciences, University of Johannesburg, Auckland Park 2006, South Africa
| | - Francis M Jiggins
- Department of Genetics, University of Cambridge, Cambridge CB2 3EH, UK.
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29
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Blischak PD, Mabry ME, Conant GC, Pires JC. Integrating Networks, Phylogenomics, and Population Genomics for the Study of Polyploidy. ANNUAL REVIEW OF ECOLOGY EVOLUTION AND SYSTEMATICS 2018. [DOI: 10.1146/annurev-ecolsys-121415-032302] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Duplication events are regarded as sources of evolutionary novelty, but our understanding of general trends for the long-term trajectory of additional genomic material is still lacking. Organisms with a history of whole genome duplication (WGD) offer a unique opportunity to study potential trends in the context of gene retention and/or loss, gene and network dosage, and changes in gene expression. In this review, we discuss the prevalence of polyploidy across the tree of life, followed by an overview of studies investigating genome evolution and gene expression. We then provide an overview of methods in network biology, phylogenomics, and population genomics that are critical for advancing our understanding of evolution post-WGD, highlighting the need for models that can accommodate polyploids. Finally, we close with a brief note on the importance of random processes in the evolution of polyploids with respect to neutral versus selective forces, ancestral polymorphisms, and the formation of autopolyploids versus allopolyploids.
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Affiliation(s)
- Paul D. Blischak
- Department of Evolution, Ecology, and Organismal Biology, The Ohio State University, Columbus, Ohio 43210, USA
| | - Makenzie E. Mabry
- Division of Biological Sciences and Bond Life Sciences Center, University of Missouri, Columbia, Missouri 65211, USA
| | - Gavin C. Conant
- Division of Animal Sciences, University of Missouri, Columbia, Missouri 65211, USA
- Current affiliation: Bioinformatics Research Center, Program in Genetics and Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina 27695, USA
| | - J. Chris Pires
- Division of Biological Sciences and Bond Life Sciences Center, University of Missouri, Columbia, Missouri 65211-7310, USA
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30
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Crawford JE, Amaru R, Song J, Julian CG, Racimo F, Cheng JY, Guo X, Yao J, Ambale-Venkatesh B, Lima JA, Rotter JI, Stehlik J, Moore LG, Prchal JT, Nielsen R. Natural Selection on Genes Related to Cardiovascular Health in High-Altitude Adapted Andeans. Am J Hum Genet 2017; 101:752-767. [PMID: 29100088 PMCID: PMC5673686 DOI: 10.1016/j.ajhg.2017.09.023] [Citation(s) in RCA: 73] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2017] [Accepted: 09/27/2017] [Indexed: 12/20/2022] Open
Abstract
The increase in red blood cell mass (polycythemia) due to the reduced oxygen availability (hypoxia) of residence at high altitude or other conditions is generally thought to be beneficial in terms of increasing tissue oxygen supply. However, the extreme polycythemia and accompanying increased mortality due to heart failure in chronic mountain sickness most likely reduces fitness. Tibetan highlanders have adapted to high altitude, possibly in part via the selection of genetic variants associated with reduced polycythemic response to hypoxia. In contrast, high-altitude-adapted Quechua- and Aymara-speaking inhabitants of the Andean Altiplano are not protected from high-altitude polycythemia in the same way, yet they exhibit other adaptive features for which the genetic underpinnings remain obscure. Here, we used whole-genome sequencing to scan high-altitude Andeans for signals of selection. The genes showing the strongest evidence of selection-including BRINP3, NOS2, and TBX5-are associated with cardiovascular development and function but are not in the response-to-hypoxia pathway. Using association mapping, we demonstrated that the haplotypes under selection are associated with phenotypic variations related to cardiovascular health. We hypothesize that selection in response to hypoxia in Andeans could have vascular effects and could serve to mitigate the deleterious effects of polycythemia rather than reduce polycythemia itself.
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Affiliation(s)
- Jacob E Crawford
- Department of Integrative Biology, University of California, Berkeley, Berkeley, CA 94702, USA
| | - Ricardo Amaru
- Director, Cell Biology Unit, Medical School, San Andres University, La Paz, Bolivia
| | - Jihyun Song
- Department of Medicine, University of Utah Health Center and Veterans Affairs Medical Center, Salt Lake City, UT, 84123, USA
| | - Colleen G Julian
- Department of Medicine, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Fernando Racimo
- Department of Integrative Biology, University of California, Berkeley, Berkeley, CA 94702, USA
| | - Jade Yu Cheng
- Department of Integrative Biology, University of California, Berkeley, Berkeley, CA 94702, USA; Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Oster Voldgade 5-7, Copenhagen 1350, Denmark
| | - Xiuqing Guo
- Los Angeles Biomedical Research Institute, Harbor-UCLA Medical Center, 1124 West Carson Street, Torrance, CA 90502, USA
| | - Jie Yao
- Los Angeles Biomedical Research Institute, Harbor-UCLA Medical Center, 1124 West Carson Street, Torrance, CA 90502, USA
| | - Bharath Ambale-Venkatesh
- Department of Cardiology, Johns Hopkins University, 600 North Wolfe Street, Baltimore, MD 21205, USA
| | - João A Lima
- Department of Cardiology, Johns Hopkins University, 600 North Wolfe Street, Baltimore, MD 21205, USA
| | - Jerome I Rotter
- Los Angeles Biomedical Research Institute, Harbor-UCLA Medical Center, 1124 West Carson Street, Torrance, CA 90502, USA
| | - Josef Stehlik
- Department of Medicine, University of Utah Health Center and Veterans Affairs Medical Center, Salt Lake City, UT, 84123, USA
| | - Lorna G Moore
- Department of Obstetrics and Gynecology, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Josef T Prchal
- Department of Medicine, University of Utah Health Center and Veterans Affairs Medical Center, Salt Lake City, UT, 84123, USA.
| | - Rasmus Nielsen
- Department of Integrative Biology, University of California, Berkeley, Berkeley, CA 94702, USA; Museum of Natural History, University of Copenhagen, Øster Voldgade 5-7, 1350 Copenhagen, Denmark; Department of Statistics, University of California, Berkeley, Berkeley, CA 94702, USA.
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31
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Hellwege J, Keaton J, Giri A, Gao X, Velez Edwards DR, Edwards TL. Population Stratification in Genetic Association Studies. CURRENT PROTOCOLS IN HUMAN GENETICS 2017; 95:1.22.1-1.22.23. [PMID: 29044472 PMCID: PMC6007879 DOI: 10.1002/cphg.48] [Citation(s) in RCA: 71] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Population stratification (PS) is a primary consideration in studies of genetic determinants of human traits. Failure to control for PS may lead to confounding, causing a study to fail for lack of significant results, or resources to be wasted following false-positive signals. Here, historical and current approaches for addressing PS when performing genetic association studies in human populations are reviewed. Methods for detecting the presence of PS, including global and local ancestry methods, are described. Also described are approaches for accounting for PS when calculating association statistics, such that measures of association are not confounded. Many traits are being examined for the first time in minority populations, which may inherently feature PS. © 2017 by John Wiley & Sons, Inc.
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Affiliation(s)
- Jacklyn Hellwege
- Vanderbilt Genetics Institute, Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center,
Nashville, TN 37203, USA
| | - Jacob Keaton
- Vanderbilt Genetics Institute, Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center,
Nashville, TN 37203, USA
| | - Ayush Giri
- Vanderbilt Genetics Institute, Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center,
Nashville, TN 37203, USA
| | - Xiaoyi Gao
- Department of Ophthalmology and Preventive Medicine, Keck School of Medicine, University of Southern California, Los
Angeles, CA 90033, USA
| | - Digna R. Velez Edwards
- Vanderbilt Genetics Institute, Department of Obstetrics and Gynecology, Vanderbilt University Medical Center,
Nashville, TN 37203, USA
| | - Todd L. Edwards
- Vanderbilt Genetics Institute, Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center,
Nashville, TN 37203, USA
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32
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Huo H, Li T, Wang S, Lv Y, Zuo Y, Yang L. Prediction of presynaptic and postsynaptic neurotoxins by combining various Chou's pseudo components. Sci Rep 2017; 7:5827. [PMID: 28724993 PMCID: PMC5517432 DOI: 10.1038/s41598-017-06195-y] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2017] [Accepted: 06/08/2017] [Indexed: 11/09/2022] Open
Abstract
Presynaptic and postsynaptic neurotoxins are two groups of neurotoxins. Identification of presynaptic and postsynaptic neurotoxins is an important work for numerous newly found toxins. It is both costly and time consuming to determine these two neurotoxins by experimental methods. As a complement, using computational methods for predicting presynaptic and postsynaptic neurotoxins could provide some useful information in a timely manner. In this study, we described four algorithms for predicting presynaptic and postsynaptic neurotoxins from sequence driven features by using Increment of Diversity (ID), Multinomial Naive Bayes Classifier (MNBC), Random Forest (RF), and K-nearest Neighbours Classifier (IBK). Each protein sequence was encoded by pseudo amino acid (PseAA) compositions and three biological motif features, including MEME, Prosite and InterPro motif features. The Maximum Relevance Minimum Redundancy (MRMR) feature selection method was used to rank the PseAA compositions and the 50 top ranked features were selected to improve the prediction accuracy. The PseAA compositions and three kinds of biological motif features were combined and 12 different parameters that defined as P1-P12 were selected as the input parameters of ID, MNBC, RF, and IBK. The prediction results obtained in this study were significantly better than those of previously developed methods.
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Affiliation(s)
- Haiyan Huo
- Department of Environmental Engineering, Hohhot University for Nationalities, Hohhot, 010051, China
| | - Tao Li
- College of Life Science, Inner Mongolia Agricultural University, Hohhot, 010018, China
| | - Shiyuan Wang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China
| | - Yingli Lv
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China
| | - Yongchun Zuo
- The Key Laboratory of Mammalian Reproductive Biology and Biotechnology of the Ministry of Education, Inner Mongolia University, Hohhot, 010021, China.
| | - Lei Yang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
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