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Liu D, Yang Y, Chen Z, Fan Y, Liu J, Xu Y, Ahmed Z, Zhang J, Li F, Qi X, Song W, Zhu K, Gongque J, Li G, Huang B, Lei C. Temperature adaptation patterns in Chinese cattle revealed by TRPM2 gene mutation analysis. Anim Biotechnol 2024; 35:2299944. [PMID: 38164963 DOI: 10.1080/10495398.2023.2299944] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2024]
Abstract
Cattle are sensitive to temperature fluctuations but adapt well to inclement weather conditions. When environmental temperatures exceed specific thresholds, heat stress becomes a critical concern for cattle. The TRPM2 gene, which resides on cattle chromosome 1 encodes a TRP channel protein, holding a unique capacity to sense temperature changes and facilitate rapid response to avoid heat stress. Here, we utilized the Bovine Genome Variation Database (BGVD) (http://animal.omics.pro/code/index.php/BosVar), and identified a missense mutation site, c.805A > G: p. Met269Val (rs527146862), within the TRPM2 gene. To elucidate the functional assessment of this mutation in temperature adaptation attributes of Chinese cattle, we genotyped 407 samples from 20 distinct breeds representing diverse climatic zones across China. The association analysis incorporates three temperature parameters and revealed compelling insights in terms of allele frequency. Interestingly, the prevalence of the wild-type allele A was notably higher among northern cattle breeds and this trend diminished gradually as observed in southern cattle populations. Conversely, the mutant-type allele G demonstrated a contrasting trend. Moreover, southern cattle exhibited markedly higher frequencies of GG and GA genotypes (P < 0.01). The presence of heterozygous and homozygous mutations appears to confer an enhanced capacity for adaptation to elevated temperatures. These results provide unequivocal correlation evidence between TRPM2 genotypes (AA, GA, GG) and environmental temperature parameters and comprehend the genetic mechanisms governing temperature adaptation in cattle. This provides valuable insights for strategic breed selection across diverse climatic regions, thereby aiding livestock production amid evolving climate challenges.
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Affiliation(s)
- Dekai Liu
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A and F University, Yangling, China
| | - Yifan Yang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A and F University, Yangling, China
| | - Zhefu Chen
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A and F University, Yangling, China
| | - Yijie Fan
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A and F University, Yangling, China
| | - Jianyong Liu
- Yunnan Academy of Grassland and Animal Science, Kunming, China
| | - Yibing Xu
- Department of Veterinary Medicine, College of Coastal Agricultural Sciences, Guangdong Ocean University, Zhanjiang, Guangdong, China
| | - Zulfiqar Ahmed
- Department of Livestock and Poultry Production, Faculty of Veterinary and Animal Sciences, University of Poonch Rawalakot, Azad Jammu and Kashmir, Pakistan
| | - Jicai Zhang
- Yunnan Academy of Grassland and Animal Science, Kunming, China
| | - Fuqiang Li
- Hunan Tianhua Industrial Corporation Ltd, Lianyuan, China
| | - Xingshan Qi
- Biyang Xianan Cattle Technology and Development Company Ltd, Biyang, China
| | - Weiru Song
- Animal Disease Prevention and Control Center of Yushu Tibetan Autonomous Prefecture, Yushu, China
| | - Kaixia Zhu
- Animal Disease Prevention and Control Center of Yushu Tibetan Autonomous Prefecture, Yushu, China
| | - Jiangcai Gongque
- Animal Disease Prevention and Control Center of Yushu Tibetan Autonomous Prefecture, Yushu, China
| | - Guomei Li
- Forestry and Grassland Comprehensive Service Center of Yushu Prefecture, Qinghai, China
| | - Bizhi Huang
- Yunnan Academy of Grassland and Animal Science, Kunming, China
| | - Chuzhao Lei
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A and F University, Yangling, China
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He G, Wang P, Chen J, Liu Y, Sun Y, Hu R, Duan S, Sun Q, Tang R, Yang J, Wang Z, Yun L, Hu L, Yan J, Nie S, Wei L, Liu C, Wang M. Differentiated genomic footprints suggest isolation and long-distance migration of Hmong-Mien populations. BMC Biol 2024; 22:18. [PMID: 38273256 PMCID: PMC10809681 DOI: 10.1186/s12915-024-01828-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Accepted: 01/12/2024] [Indexed: 01/27/2024] Open
Abstract
BACKGROUND The underrepresentation of Hmong-Mien (HM) people in Asian genomic studies has hindered our comprehensive understanding of the full landscape of their evolutionary history and complex trait architecture. South China is a multi-ethnic region and indigenously settled by ethnolinguistically diverse HM, Austroasiatic (AA), Tai-Kadai (TK), Austronesian (AN), and Sino-Tibetan (ST) people, which is regarded as East Asia's initial cradle of biodiversity. However, previous fragmented genetic studies have only presented a fraction of the landscape of genetic diversity in this region, especially the lack of haplotype-based genomic resources. The deep characterization of demographic history and natural-selection-relevant genetic architecture of HM people was necessary. RESULTS We reported one HM-specific genomic resource and comprehensively explored the fine-scale genetic structure and adaptative features inferred from the genome-wide SNP data of 440 HM individuals from 33 ethnolinguistic populations, including previously unreported She. We identified solid genetic differentiation between HM people and Han Chinese at 7.64‒15.86 years ago (kya) and split events between southern Chinese inland (Miao/Yao) and coastal (She) HM people in the middle Bronze Age period and the latter obtained more gene flow from Ancient Northern East Asians. Multiple admixture models further confirmed that extensive gene flow from surrounding ST, TK, and AN people entangled in forming the gene pool of Chinese coastal HM people. Genetic findings of isolated shared unique ancestral components based on the sharing alleles and haplotypes deconstructed that HM people from the Yungui Plateau carried the breadth of previously unknown genomic diversity. We identified a direct and recent genetic connection between Chinese inland and Southeast Asian HM people as they shared the most extended identity-by-descent fragments, supporting the long-distance migration hypothesis. Uniparental phylogenetic topology and network-based phylogenetic relationship reconstruction found ancient uniparental founding lineages in southwestern HM people. Finally, the population-specific biological adaptation study identified the shared and differentiated natural selection signatures among inland and coastal HM people associated with physical features and immune functions. The allele frequency spectrum of cancer susceptibility alleles and pharmacogenomic genes showed significant differences between HM and northern Chinese people. CONCLUSIONS Our extensive genetic evidence combined with the historical documents supported the view that ancient HM people originated from the Yungui regions associated with ancient "Three-Miao tribes" descended from the ancient Daxi-Qujialing-Shijiahe people. Then, some have recently migrated rapidly to Southeast Asia, and some have migrated eastward and mixed respectively with Southeast Asian indigenes, Liangzhu-related coastal ancient populations, and incoming southward ST people. Generally, complex population migration, admixture, and adaptation history contributed to the complicated patterns of population structure of geographically diverse HM people.
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Affiliation(s)
- Guanglin He
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610041, China.
- Center for Archaeological Science, Sichuan University, Chengdu, 610000, China.
- Anti-Drug Technology Center of Guangdong Province, Guangzhou, 510230, China.
- Research Center for Genomic Medicine, North Sichuan Medical College, Nanchong, 637100, China.
| | - Peixin Wang
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610041, China
- School of Medical Information, Chongqing Medical University, Chongqing, 400331, China
| | - Jing Chen
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610041, China
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, 030001, China
| | - Yan Liu
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610041, China
- School of Basic Medical Sciences, North Sichuan Medical College, Nanchong, 637000, China
- Research Center for Genomic Medicine, North Sichuan Medical College, Nanchong, 637100, China
| | - Yuntao Sun
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610041, China
- Institute of Forensic Medicine, West China School of Basic Science & Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Rong Hu
- School of Sociology and Anthropology, Xiamen University, Xiamen, 361005, China
| | - Shuhan Duan
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610041, China
- School of Basic Medical Sciences, North Sichuan Medical College, Nanchong, 637000, China
- Research Center for Genomic Medicine, North Sichuan Medical College, Nanchong, 637100, China
| | - Qiuxia Sun
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610041, China
- Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing, 400331, China
| | - Renkuan Tang
- Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing, 400331, China
| | - Junbao Yang
- School of Basic Medical Sciences, North Sichuan Medical College, Nanchong, 637000, China
- Research Center for Genomic Medicine, North Sichuan Medical College, Nanchong, 637100, China
| | - Zhiyong Wang
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610041, China
- School of Forensic Medicine, Kunming Medical University, Kunming, 650500, China
| | - Libing Yun
- Institute of Forensic Medicine, West China School of Basic Science & Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Liping Hu
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610041, China
- School of Forensic Medicine, Kunming Medical University, Kunming, 650500, China
| | - Jiangwei Yan
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, 030001, China
| | - Shengjie Nie
- School of Forensic Medicine, Kunming Medical University, Kunming, 650500, China
| | - Lanhai Wei
- School of Ethnology and Anthropology, Inner Mongolia Normal University, Inner Mongolia, 010028, China
| | - Chao Liu
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510275, China.
- Anti-Drug Technology Center of Guangdong Province, Guangzhou, 510230, China.
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, 510515, China.
| | - Mengge Wang
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610041, China.
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510275, China.
- Anti-Drug Technology Center of Guangdong Province, Guangzhou, 510230, China.
- Research Center for Genomic Medicine, North Sichuan Medical College, Nanchong, 637100, China.
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Ren K, Ren L. Faunal remains data from Paleolithic-early Iron Age archaeological sites in the Qinghai-Tibet Plateau in China. Sci Data 2024; 11:9. [PMID: 38167872 PMCID: PMC10762139 DOI: 10.1038/s41597-023-02858-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Accepted: 12/12/2023] [Indexed: 01/05/2024] Open
Abstract
According to published archaeological sources, zooarchaeological data collection on the Qinghai-Tibet Plateau and its marginal and transitional areas is inadequate, and relevant datasets have not been published. For this reason, we collected and collated relevant information. Our database provides the geographical location, elevation, cultural type and faunal assemblage of each site on the Qinghai-Tibet Plateau and its periphery for which zooarchaeological data have been published from the Paleolithic to the Early Iron Age. The patterns of human faunal resource use, habitat patterns, and animal abundance and spatial distribution on the Qinghai-Tibet Plateau and its surrounding areas during the Prehistoric-Early Iron Age are represented in this dataset. The data provide a reference for further understanding prehistoric-early Iron Age human behavior, subsistence patterns and material and cultural exchanges between East and West on the Qinghai-Tibet Plateau and its environs.
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Affiliation(s)
- Kaidi Ren
- School of History and Culture, Lanzhou University, Lanzhou, 730000, China
| | - Lele Ren
- School of History and Culture, Lanzhou University, Lanzhou, 730000, China.
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Chen N, Zhang Z, Hou J, Chen J, Gao X, Tang L, Wangdue S, Zhang X, Sinding MHS, Liu X, Han J, Lü H, Lei C, Marshall F, Liu X. Evidence for early domestic yak, taurine cattle, and their hybrids on the Tibetan Plateau. SCIENCE ADVANCES 2023; 9:eadi6857. [PMID: 38091398 PMCID: PMC10848728 DOI: 10.1126/sciadv.adi6857] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 11/07/2023] [Indexed: 12/18/2023]
Abstract
Domestic yak, cattle, and their hybrids are fundamental to herder survival at high altitudes on the Tibetan Plateau. However, little is known about their history. Bos remains are uncommon in this region, and ancient domestic yak have not been securely identified. To identify Bos taxa and investigate their initial management, we conducted zooarchaeological analyses of 193 Bos specimens and sequenced five nuclear genomes from recently excavated assemblages at Bangga. Morphological data indicated that more cattle than yak were present. Ancient mitochondrial DNA and nuclear genome sequences identified taurine cattle and provided evidence for domestic yak and yak-cattle hybridization ~2500 years ago. Reliance on diverse Bos species and their hybrid has increased cattle adaptation and herder resilience to plateau conditions. Ancient cattle and yak at Bangga were closely related to contemporary livestock, indicating early herder legacies and the continuity of cattle and yak husbandry on the Tibetan Plateau.
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Affiliation(s)
- Ningbo Chen
- Key Laboratory of Animal Genetics Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, P. R. China
| | - Zhengwei Zhang
- Center for Archaeological Science, Sichuan University, Chengdu 610065, P. R. China
| | - Jiawen Hou
- Key Laboratory of Animal Genetics Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, P. R. China
| | - Jialei Chen
- Key Laboratory of Animal Genetics Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, P. R. China
| | - Xuan Gao
- Center for Archaeological Science, Sichuan University, Chengdu 610065, P. R. China
| | - Li Tang
- Department of Archaeology, Max Planck Institute of Geoanthropology, Jena 07745, Germany
- Domestication and Anthropogenic Evolution Research Group, Max Planck Institute of Geoanthropology, Jena 07745, Germany
| | - Shargan Wangdue
- Institute for Conservation and Research of Cultural Relics of Tibet Autonomous Region, Lhasa 850000, China
| | - Xiaoming Zhang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences (CAS), Kunming 650201, P. R. China
| | - Mikkel-Holger S. Sinding
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen DK-1350, Denmark
| | - Xuexue Liu
- National Germplasm Centre of Domestic Animal Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, P. R. China
- Centre for Anthropobiology and Genomics of Toulouse, CNRS UMR 5288, Université de Toulouse, Université Paul Sabatier, Toulouse 31000, France
| | - Jianlin Han
- Yazhouwan National Laboratory, Sanya 572024, P. R. China
- CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, P. R. China
| | - Hongliang Lü
- Center for Archaeological Science, Sichuan University, Chengdu 610065, P. R. China
| | - Chuzhao Lei
- Key Laboratory of Animal Genetics Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, P. R. China
| | - Fiona Marshall
- Department of Anthropology, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Xinyi Liu
- Department of Anthropology, Washington University in St. Louis, St. Louis, MO 63130, USA
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5
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Chen N, Xia X, Hanif Q, Zhang F, Dang R, Huang B, Lyu Y, Luo X, Zhang H, Yan H, Wang S, Wang F, Chen J, Guan X, Liu Y, Li S, Jin L, Wang P, Sun L, Zhang J, Liu J, Qu K, Cao Y, Sun J, Liao Y, Xiao Z, Cai M, Mu L, Siddiki AZ, Asif M, Mansoor S, Babar ME, Hussain T, Silva GLLP, Gorkhali NA, Terefe E, Belay G, Tijjani A, Zegeye T, Gebre MG, Ma Y, Wang Y, Huang Y, Lan X, Chen H, Migliore NR, Colombo G, Semino O, Achilli A, Sinding MHS, Lenstra JA, Cheng H, Lu W, Hanotte O, Han J, Jiang Y, Lei C. Global genetic diversity, introgression, and evolutionary adaptation of indicine cattle revealed by whole genome sequencing. Nat Commun 2023; 14:7803. [PMID: 38016956 PMCID: PMC10684552 DOI: 10.1038/s41467-023-43626-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 11/14/2023] [Indexed: 11/30/2023] Open
Abstract
Indicine cattle, also referred to as zebu (Bos taurus indicus), play a central role in pastoral communities across a wide range of agro-ecosystems, from extremely hot semiarid regions to hot humid tropical regions. However, their adaptive genetic changes following their dispersal into East Asia from the Indian subcontinent have remained poorly documented. Here, we characterize their global genetic diversity using high-quality whole-genome sequencing data from 354 indicine cattle of 57 breeds/populations, including major indicine phylogeographic groups worldwide. We reveal their probable migration into East Asia was along a coastal route rather than inland routes and we detected introgression from other bovine species. Genomic regions carrying morphology-, immune-, and heat-tolerance-related genes underwent divergent selection according to Asian agro-ecologies. We identify distinct sets of loci that contain promising candidate variants for adaptation to hot semi-arid and hot humid tropical ecosystems. Our results indicate that the rapid and successful adaptation of East Asian indicine cattle to hot humid environments was promoted by localized introgression from banteng and/or gaur. Our findings provide insights into the history and environmental adaptation of indicine cattle.
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Affiliation(s)
- Ningbo Chen
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Xiaoting Xia
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Quratulain Hanif
- National Institute for Biotechnology and Genetic Engineering, Faisalabad, 38000, Pakistan
- CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), 100193, Beijing, China
| | - Fengwei Zhang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Ruihua Dang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Bizhi Huang
- Yunnan Academy of Grassland and Animal Science, Kunming, 650212, China
| | - Yang Lyu
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Xiaoyu Luo
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Hucai Zhang
- Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environment Science, Yunnan University, Kunming, 650500, China
| | - Huixuan Yan
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Shikang Wang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Fuwen Wang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Jialei Chen
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Xiwen Guan
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Yangkai Liu
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Shuang Li
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Liangliang Jin
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Pengfei Wang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Luyang Sun
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Jicai Zhang
- Yunnan Academy of Grassland and Animal Science, Kunming, 650212, China
| | - Jianyong Liu
- Yunnan Academy of Grassland and Animal Science, Kunming, 650212, China
| | - Kaixing Qu
- Academy of Science and Technology, Chuxiong Normal University, Chuxiong, 675000, China
| | - Yanhong Cao
- Guangxi Vocational University of Agriculture, Nanning, 530007, China
| | - Junli Sun
- Guangxi Vocational University of Agriculture, Nanning, 530007, China
| | - Yuying Liao
- Guangxi Veterinary Research Institute, Guangxi Key Laboratory of Veterinary Biotechnology, Nanning, 530001, China
| | - Zhengzhong Xiao
- Guangxi Vocational University of Agriculture, Nanning, 530007, China
| | - Ming Cai
- Yunnan Academy of Grassland and Animal Science, Kunming, 650212, China
| | - Lan Mu
- College of Landscape and Horticulture, Southwest Forestry University, Kunming, 650224, China
| | - Amam Zonaed Siddiki
- Genomics Research Group, Department of Pathology and Parasitology, Faculty of Veterinary Medicine, Chattogram Veterinary and Animal Sciences University (CVASU), Chattogram, 4225, Bangladesh
| | - Muhammad Asif
- National Institute for Biotechnology and Genetic Engineering, Faisalabad, 38000, Pakistan
| | - Shahid Mansoor
- National Institute for Biotechnology and Genetic Engineering, Faisalabad, 38000, Pakistan
| | - Masroor Ellahi Babar
- The University of Agriculture, Dera Ismail Khan, Khyber Pakhtunkhwa, 29050, Pakistan
| | - Tanveer Hussain
- Department of Molecular Biology, Virtual University of Pakistan, Islamabad, 44100, Pakistan
| | | | - Neena Amatya Gorkhali
- National Animal Breeding and Genetics Centre, National Animal Science Research Institute, Nepal Agriculture Research Council, Khumaltar, Lalitpur, 45200, Nepal
| | - Endashaw Terefe
- College of Agriculture and Environmental Science, Department of Animal Science, Arsi University, Asella, Ethiopia
- International Livestock Research Institute (ILRI), P.O. Box 5689, 1000, Addis Ababa, Ethiopia
| | - Gurja Belay
- College of Natural and Computational Sciences, The School of Graduate Studies, Addis Ababa University, 1000, Addis Ababa, Ethiopia
| | - Abdulfatai Tijjani
- International Livestock Research Institute (ILRI), P.O. Box 5689, 1000, Addis Ababa, Ethiopia
- The Jackson Laboratory, Bar Harbor, ME, 04609, USA
| | - Tsadkan Zegeye
- Mekelle Agricultural Research Center, P.O. Box 258, 7000, Mekelle, Tigray, Ethiopia
| | - Mebrate Genet Gebre
- School of Animal and Rangeland Science, College of Agriculture, Haramaya University, 2040, Haramaya, Oromia, Ethiopia
| | - Yun Ma
- Key Laboratory of Ruminant Molecular and Cellular Breeding of Ningxia Hui Autonomous Region, School of Agriculture, Ningxia University, Yinchuan, 750000, China
| | - Yu Wang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Yongzhen Huang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Xianyong Lan
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Hong Chen
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Nicola Rambaldi Migliore
- Department of Biology and Biotechnology "Lazzaro Spallanzani", University of Pavia, 27100, Pavia, Italy
| | - Giulia Colombo
- Department of Biology and Biotechnology "Lazzaro Spallanzani", University of Pavia, 27100, Pavia, Italy
| | - Ornella Semino
- Department of Biology and Biotechnology "Lazzaro Spallanzani", University of Pavia, 27100, Pavia, Italy
| | - Alessandro Achilli
- Department of Biology and Biotechnology "Lazzaro Spallanzani", University of Pavia, 27100, Pavia, Italy
| | - Mikkel-Holger S Sinding
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, DK-1350, Copenhagen, Denmark
| | - Johannes A Lenstra
- Faculty of Veterinary Medicine, Utrecht University, 3584 CM, Utrecht, The Netherlands
| | - Haijian Cheng
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
- Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Shandong Key Lab of Animal Disease Control and Breeding, Jinan, 250100, China
| | - Wenfa Lu
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, 130118, China
| | - Olivier Hanotte
- International Livestock Research Institute (ILRI), P.O. Box 5689, 1000, Addis Ababa, Ethiopia.
- School of Life Sciences, University of Nottingham, Nottingham, NG7 2RD, UK.
| | - Jianlin Han
- CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), 100193, Beijing, China.
- Livestock Genetics Program, International Livestock Research Institute (ILRI), 00100, Nairobi, Kenya.
- Yazhouwan National Laboratory, Sanya, 572024, China.
| | - Yu Jiang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China.
- Key Laboratory of Livestock Biology, Northwest A&F University, Yangling, 712100, China.
| | - Chuzhao Lei
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China.
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Brunson K, Witt KE, Monge S, Williams S, Peede D, Odsuren D, Bukhchuluun D, Cameron A, Szpak P, Amartuvshin C, Honeychurch W, Wright J, Pleuger S, Erdene M, Tumen D, Rogers L, Khatanbaatar D, Batdalai B, Galdan G, Janz L. Ancient Mongolian aurochs genomes reveal sustained introgression and management in East Asia. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.08.10.552443. [PMID: 37609302 PMCID: PMC10441390 DOI: 10.1101/2023.08.10.552443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/24/2023]
Abstract
Societies in East Asia have utilized domesticated cattle for over 5000 years, but the genetic history of cattle in East Asia remains understudied. Genome-wide analyses of 23 ancient Mongolian cattle reveal that East Asian aurochs and ancient East Asian taurine cattle are closely related, but neither are closely related to any modern East Asian breeds. We observe binary variation in aurochs diet throughout the early Neolithic, and genomic evidence shows millennia of sustained male-dominated introgression. We identify a unique connection between ancient Mongolian aurochs and the European Hereford breed. These results point to the likelihood of human management of aurochs in Northeast Asia prior to and during the initial adoption of taurine cattle pastoralism.
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Affiliation(s)
| | - Kelsey E. Witt
- Department of Genetics and Biochemistry and Center for Human Genetics, Clemson University; Clemson, South Carolina 29634, USA
- Center for Computational Molecular Biology, Brown University; Providence 02912, USA
- Department of Ecology, Evolution, and Organismal Biology, Brown University; Providence 02912, USA
| | - Susan Monge
- Department of Anthropology, University of Illinois Chicago, Chicago, IL 60607, USA
| | - Sloan Williams
- Department of Anthropology, University of Illinois Chicago, Chicago, IL 60607, USA
| | - David Peede
- Center for Computational Molecular Biology, Brown University; Providence 02912, USA
- Department of Ecology, Evolution, and Organismal Biology, Brown University; Providence 02912, USA
- Institute at Brown for Environment and Society, Brown University; Providence 02912, USA
| | - Davaakhuu Odsuren
- Department of History, Mongolian National University of Education; Ulaanbaatar, Sukhbaatar district, 210648, Mongolia
- Institute of Archaeology, Mongolian Academy of Sciences, Ulaanbaatar-51, Mongolia
| | - Dashzeveg Bukhchuluun
- Department of Anthropology, Yale University, 10 Sachem St., New Haven, CT 06511, USA
| | - Asa Cameron
- Department of Anthropology, Yale University, 10 Sachem St., New Haven, CT 06511, USA
| | - Paul Szpak
- Department of Anthropology, Trent University; Peterborough K9J 6Y1, Canada
| | - Chunag Amartuvshin
- Department of Anthropology and Archaeology, National University of Mongolia; Ulaanbaatar-51, Mongolia
| | - William Honeychurch
- Department of Anthropology, Yale University, 10 Sachem St., New Haven, CT 06511, USA
| | - Joshua Wright
- Department of Archaeology, University of Aberdeen, King’s College; Aberdeen, AB24 3FX, UK
| | - Sarah Pleuger
- School of History, Classics and Archaeology, University of Edinburgh; Edinburgh EH8 9AG, UK
| | - Myagmar Erdene
- Department of Anthropology and Archaeology, National University of Mongolia; Ulaanbaatar-51, Mongolia
| | - Dashtseveg Tumen
- Department of Anthropology and Archaeology, National University of Mongolia; Ulaanbaatar-51, Mongolia
| | - Leland Rogers
- Department of Anthropology, University of North Carolina Wilmington; Wilmington, NC 28403, USA
| | - Dorjpurev Khatanbaatar
- School of Business Administration and Humanities, The Mongolian University of Science and Technology; Mongolia
| | - Byambatseren Batdalai
- Archaeological Research Center, National University of Mongolia; Ulaanbaatar-51, Mongolia
| | - Ganbaatar Galdan
- Institute of Archaeology, Mongolian Academy of Sciences, Ulaanbaatar-51, Mongolia
| | - Lisa Janz
- Department of Anthropology, University of Toronto Scarborough; Scarborough, ON M1C 1A4, Canada
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He G, Wang M, Miao L, Chen J, Zhao J, Sun Q, Duan S, Wang Z, Xu X, Sun Y, Liu Y, Liu J, Wang Z, Wei L, Liu C, Ye J, Wang L. Multiple founding paternal lineages inferred from the newly-developed 639-plex Y-SNP panel suggested the complex admixture and migration history of Chinese people. Hum Genomics 2023; 17:29. [PMID: 36973821 PMCID: PMC10045532 DOI: 10.1186/s40246-023-00476-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Accepted: 03/15/2023] [Indexed: 03/29/2023] Open
Abstract
BACKGROUND Non-recombining regions of the Y-chromosome recorded the evolutionary traces of male human populations and are inherited haplotype-dependently and male-specifically. Recent whole Y-chromosome sequencing studies have identified previously unrecognized population divergence, expansion and admixture processes, which promotes a better understanding and application of the observed patterns of Y-chromosome genetic diversity. RESULTS Here, we developed one highest-resolution Y-chromosome single nucleotide polymorphism (Y-SNP) panel targeted for uniparental genealogy reconstruction and paternal biogeographical ancestry inference, which included 639 phylogenetically informative SNPs. We genotyped these loci in 1033 Chinese male individuals from 33 ethnolinguistically diverse populations and identified 256 terminal Y-chromosomal lineages with frequency ranging from 0.0010 (singleton) to 0.0687. We identified six dominant common founding lineages associated with different ethnolinguistic backgrounds, which included O2a2b1a1a1a1a1a1a1-M6539, O2a1b1a1a1a1a1a1-F17, O2a2b1a1a1a1a1b1a1b-MF15397, O2a2b2a1b1-A16609, O1b1a1a1a1b2a1a1-F2517, and O2a2b1a1a1a1a1a1-F155. The AMOVA and nucleotide diversity estimates revealed considerable differences and high genetic diversity among ethnolinguistically different populations. We constructed one representative phylogenetic tree among 33 studied populations based on the haplogroup frequency spectrum and sequence variations. Clustering patterns in principal component analysis and multidimensional scaling results showed a genetic differentiation between Tai-Kadai-speaking Li, Mongolic-speaking Mongolian, and other Sinitic-speaking Han Chinese populations. Phylogenetic topology inferred from the BEAST and Network relationships reconstructed from the popART further showed the founding lineages from culturally/linguistically diverse populations, such as C2a/C2b was dominant in Mongolian people and O1a/O1b was dominant in island Li people. We also identified many lineages shared by more than two ethnolinguistically different populations with a high proportion, suggesting their extensive admixture and migration history. CONCLUSIONS Our findings indicated that our developed high-resolution Y-SNP panel included major dominant Y-lineages of Chinese populations from different ethnic groups and geographical regions, which can be used as the primary and powerful tool for forensic practice. We should emphasize the necessity and importance of whole sequencing of more ethnolinguistically different populations, which can help identify more unrecognized population-specific variations for the promotion of Y-chromosome-based forensic applications.
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Affiliation(s)
- Guanglin He
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610041, China.
| | - Mengge Wang
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510275, China
| | - Lei Miao
- National Engineering Laboratory for Forensic Science, Key Laboratory of Forensic Genetics of Ministry of Public Security, Institute of Forensic Science, Ministry of Public Security, Beijing, 100038, China
| | - Jing Chen
- School of Forensic Medicine, Shanxi Medical University, Jinzhong, 030001, China
| | - Jie Zhao
- National Engineering Laboratory for Forensic Science, Key Laboratory of Forensic Genetics of Ministry of Public Security, Institute of Forensic Science, Ministry of Public Security, Beijing, 100038, China
| | - Qiuxia Sun
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610041, China
- Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing, 400331, China
| | - Shuhan Duan
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610041, China
- School of Basic Medical Sciences, North Sichuan Medical College, Nanchong, 637000, China
| | - Zhiyong Wang
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610041, China
- School of Forensic Medicine, Kunming Medical University, Kunming, 650500, China
| | - Xiaofei Xu
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610041, China
| | - Yuntao Sun
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610041, China
- Institute of Forensic Medicine, West China School of Basic Science and Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Yan Liu
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610041, China
- School of Basic Medical Sciences, North Sichuan Medical College, Nanchong, 637000, China
| | - Jing Liu
- Institute of Forensic Medicine, West China School of Basic Science and Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Zheng Wang
- Institute of Forensic Medicine, West China School of Basic Science and Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Lanhai Wei
- School of Ethnology and Anthropology, Inner Mongolia Normal University, Hohhot, 010028, Inner Mongolia, China
| | - Chao Liu
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510275, China
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, 510515, China
| | - Jian Ye
- National Engineering Laboratory for Forensic Science, Key Laboratory of Forensic Genetics of Ministry of Public Security, Institute of Forensic Science, Ministry of Public Security, Beijing, 100038, China.
| | - Le Wang
- National Engineering Laboratory for Forensic Science, Key Laboratory of Forensic Genetics of Ministry of Public Security, Institute of Forensic Science, Ministry of Public Security, Beijing, 100038, China.
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Zhang Z, Li F, Marshall F. Comparative osteomorphological criteria for differentiating mandibular teeth and post-cranial skeletons of takins (Budorcas taxicolor) from Bovini species on Tibetan Plateau. Front Ecol Evol 2022. [DOI: 10.3389/fevo.2022.956858] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
For centuries, hunting and herding of large bovids were important for human survival at high altitudes on the Tibetan Plateau. However, little is known about past human relations with iconic plateau animals, such as takins (Budorcas taxicolor Hodgson, 1850) or yaks (Bos grunniens Linnaeus, 1766). Takins were widely hunted historically for subsistence and social reasons, but an understanding of ancient relationships has been hampered by the difficulty of distinguishing takins from other large wild or domestic bovids, e.g., gaurs (Bos gaurus), yaks, cattle (Bos taurus), water buffalo (Bubalus bubalis). Through the comparative and systematic study of modern specimens, comprising 80 mandibles and 53–78 skeletons curated across five institutions in China and the United States, this research proposes a new set of osteomorphological criteria for differentiating large bovids from the Tibetan Plateau and tests previously published criteria. The results show that takins can be easily differentiated from yaks, cattle, gaurs, and water buffalos using readily identifiable shape differences, non-metric characteristics, and specific landmarks of mandibular teeth and post-cranial elements. Criteria with especially high-reliability scores include mandibular teeth and 14 postcranial elements: scapula, humerus, femur, tibia, fibula, metapodials, lunate, scaphoid, magnum, unciform, and astragalus. Providing a reproducible field method for distinguishing takins from other large bovids in this region, the osteomorphological criteria established in this study will further archaeological investigations of Holocene hunting on the Tibetan Plateau, as well as early usage of domesticated yaks and cattle. These criteria can also be used in conservation to aid field identification of illegally hunted takins.
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9
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Yu C, Zhao H, Hu S, Yang M, Guo X, Ng C. A passion for beef: Post-domestication changes in cattle body size in China from the Late Neolithic to the Late Bronze Age. Front Ecol Evol 2022. [DOI: 10.3389/fevo.2022.949860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
The introduction and the later dispersal of domestic cattle in China had played an enormous part in food production, handicraft manufacture, and ritual activities. However, we lack the details of pastoral economies, herding strategies, and utilization patterns of cattle in ancient China. This study, for the first time, uses biometrical assessments to investigate post-domesticated cattle husbandry and how it changed over time. Biometric data from eight sites dating from the Late Neolithic to the Late Bronze Age were evaluated using kernel analysis and mixture analysis. Results indicated that the general body size of cattle first decrease and then increase. By combining the estimated distribution of male and female individuals, we can see that the sex ratios affect size variation during Bronze Age times. Although no breed improvement has been detected so far, the herding and slaughtering strategies over time are different.
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10
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Wang F, Wang L, Liu D, Gao Q, Nie M, Zhu S, Chao Y, Yang C, Zhang C, Yi R, Ni W, Tian F, Zhao K, Qi D. Chromosome-level assembly of Gymnocypris eckloni genome. Sci Data 2022; 9:464. [PMID: 35918339 PMCID: PMC9346132 DOI: 10.1038/s41597-022-01595-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Accepted: 07/25/2022] [Indexed: 11/27/2022] Open
Abstract
Gymnocypris eckloni is widely distributed in isolated lakes and the upper reaches of the Yellow River and play significant roles in the trophic web of freshwater communities. In this study, we generated a chromosome-level genome of G. eckloni using PacBio, Illumina and Hi-C sequencing data. The genome consists of 23 pseudo-chromosomes that contain 918.68 Mb of sequence, with a scaffold N50 length of 43.54 Mb. In total, 23,157 genes were annotated, representing 94.80% of the total predicted protein-coding genes. The phylogenetic analysis showed that G. eckloni was most closely related to C. carpio with an estimated divergence time of ~34.8 million years ago. For G. eckloni, we identified a high-quality genome at the chromosome level. This genome will serve as a valuable genomic resource for future research on the evolution and ecology of the schizothoracine fish in the Qinghai-Tibetan Plateau. Measurement(s) | Genome | Technology Type(s) | Whole Genome Sequencing | Sample Characteristic - Organism | Gymnocypris eckloni | Sample Characteristic - Environment | fresh water | Sample Characteristic - Location | Little Yellow River |
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Affiliation(s)
- Fayan Wang
- State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining, 810016, China
| | - Lihan Wang
- State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining, 810016, China
| | - Dan Liu
- State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining, 810016, China
| | - Qiang Gao
- State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining, 810016, China
| | - Miaomiao Nie
- State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining, 810016, China
| | - Shihai Zhu
- College of Eco-Environmental Engineering, Qinghai University, Xining, 810016, China
| | - Yan Chao
- Animal Science Department of Agriculture and Animal Husbandry College, Qinghai University, Xining, 810016, China
| | - Chaojie Yang
- State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining, 810016, China
| | - Cunfang Zhang
- State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining, 810016, China
| | - Rigui Yi
- State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining, 810016, China
| | - Weilin Ni
- State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining, 810016, China
| | - Fei Tian
- Key Laboratory of Adaptation and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, 810001, China
| | - Kai Zhao
- Key Laboratory of Adaptation and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, 810001, China
| | - Delin Qi
- State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining, 810016, China.
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11
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Liu Y, Cheng H, Wang S, Luo X, Ma X, Sun L, Chen N, Zhang J, Qu K, Wang M, Liu J, Huang B, Lei C. Genomic Diversity and Selection Signatures for Weining Cattle on the Border of Yunnan-Guizhou. Front Genet 2022; 13:848951. [PMID: 35873486 PMCID: PMC9301131 DOI: 10.3389/fgene.2022.848951] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Accepted: 05/30/2022] [Indexed: 11/13/2022] Open
Abstract
Weining cattle is a Chinese indigenous breed influenced by complex breeding and geographical background. The multi-ethnic breeding culture makes Weining cattle require more attention as livestock resources for its genetic diversity. Here, we used 10 Weining cattle (five newly sequenced and five downloaded) and downloaded another 48 genome data to understand the aspects of Weining cattle: genetic diversity, population structure, and cold-adapted performance. In the current study, a high level of genetic diversity was found in Weining cattle, and its breed comprised two potential ancestries, which were Bos taurus and Bos indicus. The positive selective sweep analysis in Weining cattle was analyzed using composite likelihood ratio (CLR) and nucleotide diversity (θπ), resulting in 203 overlapped genes. In addition, we studied the cold adaptation of Weining cattle by comparing with other Chinese cattle (Wannan and Wenshan cattle) by three methods (FST, θπ-ratio, and XP-EHH). Of the top 1% gene list, UBE3D and ZNF668 were analyzed, and these genes may be associated with fat metabolism and blood pressure regulation in cold adaptation. Our findings have provided invaluable information for the development and conservation of cattle genetic resources, especially in southwest China.
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Affiliation(s)
- Yangkai Liu
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Haijian Cheng
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Shikang Wang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Xiaoyv Luo
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Xiaohui Ma
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Luyang Sun
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Ningbo Chen
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Jicai Zhang
- Yunnan Academy of Grassland and Animal Science, Kunming, China
| | - Kaixing Qu
- Academy of Science and Technology, Chuxiong Normal University, Chuxiong, China
| | - Mingjin Wang
- Bijie Animal Husbandry and Veterinary Science Institute, Bijie, China
| | - Jianyong Liu
- Yunnan Academy of Grassland and Animal Science, Kunming, China
| | - Bizhi Huang
- Yunnan Academy of Grassland and Animal Science, Kunming, China
- *Correspondence: Bizhi Huang, ; Chuzhao Lei,
| | - Chuzhao Lei
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China
- *Correspondence: Bizhi Huang, ; Chuzhao Lei,
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12
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Ding C, Ma J, Yan H, Meng Y, Qi X, Qu K, Li F, Zhang J, Zhuzha B, Quji S, Chen N, Huang B, Lei C. Distribution of a missense mutation (rs525805167) within the SLC45A2 gene associated with climatic conditions in Chinese cattle. Gene X 2022; 835:146643. [PMID: 35710082 DOI: 10.1016/j.gene.2022.146643] [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: 02/11/2022] [Revised: 05/05/2022] [Accepted: 06/02/2022] [Indexed: 11/25/2022] Open
Abstract
SLC45A2 is involved in the synthesis of melanin transporters. We investigated the association between single nucleotide polymorphisms (SNPs) of the SLC45A2 gene and humidity and hot conditions in indigenous cattle habitat. According to the Bovine Genome Variation Database and Selective Signatures (BGVD), we explored the frequency distribution of a missense mutation (NC_037347.1: c.1543A > G, p.ser515gly) in the SLC45A2 gene in Chinese indigenous cattle. This variation from serine to glycine caused a significant change in the protein modeling structure. PCR and partial DNA sequencing were used to genotype 541 individuals, including 28 Chinese indigenous cattle breeds as well as Angus and zebu. From our results, the mutant allele frequency of this SNP in Chinese native cattle increases gradually from north to south, which is consistent with the distribution of climatic conditions in China. In addition, according to association analysis of a missense mutation (NC_037347.1: c.1543A > G) (rs525805167) in Chinese cattle, it is closely related to the annual average temperature (T), relative humidity (RH), temperature and humidity index (THI) and solar radiation time (P < 0.01). Based on the statistical analysis of the data, we assumed that rs525805167 was associated with heat tolerance traits. Simple Summary: The characteristics of Chinese indigenous cattle are closely related to their climatic environment. In China, Bos taurus is mainly distributed in the northern regions; Bos indicus is mainly distributed in southern China. In addition, the average temperature is higher in the south than in the north, and there are many mixed ancestry breeds of B. taurus and B. indicus in the middle area. The SLC45A2 gene is related to melanin synthesis, which may be closely related to heat tolerance in cattle. The purpose of our study was to investigate whether the SLC45A2 gene is related to heat tolerance in Chinese indigenous cattle.
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Affiliation(s)
- Cong Ding
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Junlin Ma
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Huixuan Yan
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Yizhu Meng
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Xinglei Qi
- Bureau of Animal Husbandry of Biyang County, Biyang, China
| | - Kaixing Qu
- Academy of Science and Technology, Chuxiong Normal University, Chuxiong, Yunnan 675000, China
| | - Fuqiang Li
- Hunan Tianhua Industrial Corporation Ltd., Lianyuan, China
| | - Jicai Zhang
- Yunnan Academy of Grassland and Animal Science, Kunming, China
| | - Basang Zhuzha
- Institute of Animal Husbandry and Veterinary Science, Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa, China
| | - Suolang Quji
- Institute of Animal Husbandry and Veterinary Science, Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa, China
| | - Ningbo Chen
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Bizhi Huang
- Yunnan Academy of Grassland and Animal Science, Kunming, China.
| | - Chuzhao Lei
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China.
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13
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Low WY, Rosen BD, Ren Y, Bickhart DM, To TH, Martin FJ, Billis K, Sonstegard TS, Sullivan ST, Hiendleder S, Williams JL, Heaton MP, Smith TPL. Gaur genome reveals expansion of sperm odorant receptors in domesticated cattle. BMC Genomics 2022; 23:344. [PMID: 35508966 PMCID: PMC9069736 DOI: 10.1186/s12864-022-08561-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Accepted: 04/13/2022] [Indexed: 02/08/2023] Open
Abstract
Background The gaur (Bos gaurus) is the largest extant wild bovine species, native to South and Southeast Asia, with unique traits, and is listed as vulnerable by the International Union for Conservation of Nature (IUCN). Results We report the first gaur reference genome and identify three biological pathways including lysozyme activity, proton transmembrane transporter activity, and oxygen transport with significant changes in gene copy number in gaur compared to other mammals. These may reflect adaptation to challenges related to climate and nutrition. Comparative analyses with domesticated indicine (Bos indicus) and taurine (Bos taurus) cattle revealed genomic signatures of artificial selection, including the expansion of sperm odorant receptor genes in domesticated cattle, which may have important implications for understanding selection for male fertility. Conclusions Apart from aiding dissection of economically important traits, the gaur genome will also provide the foundation to conserve the species. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-022-08561-1.
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Affiliation(s)
- Wai Yee Low
- The Davies Research Centre, School of Animal and Veterinary Sciences, University of Adelaide, Roseworthy, SA, 5371, Australia.
| | - Benjamin D Rosen
- Animal Genomics and Improvement LaboratoryARS USDA, Beltsville, MD, USA
| | - Yan Ren
- The Davies Research Centre, School of Animal and Veterinary Sciences, University of Adelaide, Roseworthy, SA, 5371, Australia
| | | | - Thu-Hien To
- Norwegian University of Life Sciences: NMBU, Universitetstunet 3, 1430, Ås, Norway
| | - Fergal J Martin
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
| | - Konstantinos Billis
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
| | | | - Shawn T Sullivan
- Phase Genomics, 4000 Mason Road, Suite 225, Seattle, WA, 98195, USA
| | - Stefan Hiendleder
- The Davies Research Centre, School of Animal and Veterinary Sciences, University of Adelaide, Roseworthy, SA, 5371, Australia
| | - John L Williams
- The Davies Research Centre, School of Animal and Veterinary Sciences, University of Adelaide, Roseworthy, SA, 5371, Australia.,Department of Animal Science, Food and Nutrition, Università Cattolica del Sacro Cuore, 29122, Piacenza, Italy
| | - Michael P Heaton
- U.S. Department of Agriculture, Agricultural Research Service, U.S. Meat Animal Research Center, Clay Center, Nebraska, USA
| | - Timothy P L Smith
- U.S. Department of Agriculture, Agricultural Research Service, U.S. Meat Animal Research Center, Clay Center, Nebraska, USA.
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14
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Chen Y, Zhang T, Xian M, Zhang R, Yang W, Su B, Yang G, Sun L, Xu W, Xu S, Gao H, Xu L, Gao X, Li J. A draft genome of Drung cattle reveals clues to its chromosomal fusion and environmental adaptation. Commun Biol 2022; 5:353. [PMID: 35418663 PMCID: PMC9008013 DOI: 10.1038/s42003-022-03298-9] [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: 07/06/2021] [Accepted: 03/21/2022] [Indexed: 12/02/2022] Open
Abstract
Drung cattle (Bos frontalis) have 58 chromosomes, differing from the Bos taurus 2n = 60 karyotype. To date, its origin and evolution history have not been proven conclusively, and the mechanisms of chromosome fusion and environmental adaptation have not been clearly elucidated. Here, we assembled a high integrity and good contiguity genome of Drung cattle with 13.7-fold contig N50 and 4.1-fold scaffold N50 improvements over the recently published Indian mithun assembly, respectively. Speciation time estimation and phylogenetic analysis showed that Drung cattle diverged from Bos taurus into an independent evolutionary clade. Sequence evidence of centromere regions provides clues to the breakpoints in BTA2 and BTA28 centromere satellites. We furthermore integrated a circulation and contraction-related biological process involving 43 evolutionary genes that participated in pathways associated with the evolution of the cardiovascular system. These findings may have important implications for understanding the molecular mechanisms of chromosome fusion, alpine valleys adaptability and cardiovascular function.
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Affiliation(s)
- Yan Chen
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, 100193, Beijing, P.R. China
| | - Tianliu Zhang
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, 100193, Beijing, P.R. China
| | - Ming Xian
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, 100193, Beijing, P.R. China
| | - Rui Zhang
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, 100193, Beijing, P.R. China
| | - Weifei Yang
- 1 Gene Co., Ltd, 310051, Hangzhou, P.R. China
- Annoroad Gene Technology (Beijing) Co., Ltd, 100176, Beijing, P.R. China
| | - Baqi Su
- Drung Cattle Conservation Farm in Jiudang Wood, Drung and Nu Minority Autonomous County, Gongshan, 673500, Kunming, Yunnan, P.R. China
| | - Guoqiang Yang
- Livestock and Poultry Breed Improvement Center, Nujiang Lisu Minority Autonomous Prefecture, 673199, Kunming, Yunnan, P.R. China
| | - Limin Sun
- Yunnan Animal Husbandry Service, 650224, Kunming, Yunnan, P.R. China
| | - Wenkun Xu
- Yunnan Animal Husbandry Service, 650224, Kunming, Yunnan, P.R. China
| | - Shangzhong Xu
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, 100193, Beijing, P.R. China
| | - Huijiang Gao
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, 100193, Beijing, P.R. China
| | - Lingyang Xu
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, 100193, Beijing, P.R. China
| | - Xue Gao
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, 100193, Beijing, P.R. China.
| | - Junya Li
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, 100193, Beijing, P.R. China.
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15
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von Seth J, Dussex N, Díez-Del-Molino D, van der Valk T, Kutschera VE, Kierczak M, Steiner CC, Liu S, Gilbert MTP, Sinding MHS, Prost S, Guschanski K, Nathan SKSS, Brace S, Chan YL, Wheat CW, Skoglund P, Ryder OA, Goossens B, Götherström A, Dalén L. Genomic insights into the conservation status of the world's last remaining Sumatran rhinoceros populations. Nat Commun 2021; 12:2393. [PMID: 33896938 PMCID: PMC8071806 DOI: 10.1038/s41467-021-22386-8] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Accepted: 03/01/2021] [Indexed: 02/02/2023] Open
Abstract
Small populations are often exposed to high inbreeding and mutational load that can increase the risk of extinction. The Sumatran rhinoceros was widespread in Southeast Asia, but is now restricted to small and isolated populations on Sumatra and Borneo, and most likely extinct on the Malay Peninsula. Here, we analyse 5 historical and 16 modern genomes from these populations to investigate the genomic consequences of the recent decline, such as increased inbreeding and mutational load. We find that the Malay Peninsula population experienced increased inbreeding shortly before extirpation, which possibly was accompanied by purging. The populations on Sumatra and Borneo instead show low inbreeding, but high mutational load. The currently small population sizes may thus in the near future lead to inbreeding depression. Moreover, we find little evidence for differences in local adaptation among populations, suggesting that future inbreeding depression could potentially be mitigated by assisted gene flow among populations.
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Affiliation(s)
- Johanna von Seth
- Centre for Palaeogenetics, Stockholm, Sweden.
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm, Sweden.
- Department of Zoology, Stockholm University, Stockholm, Sweden.
| | - Nicolas Dussex
- Centre for Palaeogenetics, Stockholm, Sweden.
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm, Sweden.
- Department of Zoology, Stockholm University, Stockholm, Sweden.
| | - David Díez-Del-Molino
- Centre for Palaeogenetics, Stockholm, Sweden
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm, Sweden
- Department of Zoology, Stockholm University, Stockholm, Sweden
| | - Tom van der Valk
- Centre for Palaeogenetics, Stockholm, Sweden
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm, Sweden
- Department of Ecology and Genetics, Animal Ecology, Uppsala University, Uppsala, Sweden
| | - Verena E Kutschera
- Department of Biochemistry and Biophysics, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Stockholm University, Solna, Sweden
| | - Marcin Kierczak
- Department of Cell and Molecular Biology, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Cynthia C Steiner
- San Diego Zoo Wildlife Alliance, Beckman Center for Conservation Research, Escondido, CA, USA
| | - Shanlin Liu
- The GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - M Thomas P Gilbert
- The GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
- Norwegian University of Science and Technology, University Museum, Trondheim, Norway
| | - Mikkel-Holger S Sinding
- The GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
| | - Stefan Prost
- LOEWE-Centre for Translational Biodiversity Genomics, Senckenberg, Frankfurt, Germany
- South African National Biodiversity Institute, National Zoological Garden, Pretoria, South Africa
| | - Katerina Guschanski
- Department of Ecology and Genetics, Animal Ecology, Uppsala University, Uppsala, Sweden
- Institute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, UK
| | | | - Selina Brace
- Department of Earth Sciences, Natural History Museum, London, UK
| | - Yvonne L Chan
- Centre for Palaeogenetics, Stockholm, Sweden
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm, Sweden
| | | | | | - Oliver A Ryder
- San Diego Zoo Wildlife Alliance, Beckman Center for Conservation Research, Escondido, CA, USA
| | - Benoit Goossens
- Sabah Wildlife Department, Kota Kinabalu, Sabah, Malaysia
- Organisms and Environment Division, Cardiff School of Biosciences, Cardiff, UK
- Sustainable Places Research Institute, Cardiff University, Cardiff, UK
- Danau Girang Field Centre, c/o Sabah Wildlife Department, Kota Kinabalu, Sabah, Malaysia
| | - Anders Götherström
- Centre for Palaeogenetics, Stockholm, Sweden
- Department of Archaeology and Classical Studies, Stockholm University, Stockholm, Sweden
| | - Love Dalén
- Centre for Palaeogenetics, Stockholm, Sweden.
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm, Sweden.
- Department of Zoology, Stockholm University, Stockholm, Sweden.
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16
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Mitchell KJ, Rawlence NJ. Examining Natural History through the Lens of Palaeogenomics. Trends Ecol Evol 2021; 36:258-267. [PMID: 33455740 DOI: 10.1016/j.tree.2020.10.005] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 10/05/2020] [Accepted: 10/07/2020] [Indexed: 12/20/2022]
Abstract
The many high-resolution tools that are uniquely applicable to specimens from the Quaternary period (the past ~2.5 Ma) provide an opportunity to cross-validate data and test hypotheses based on the morphology and distribution of fossils. Among these tools is palaeogenomics - the genome-scale sequencing of genetic material from ancient specimens - that can provide direct insight into ecology and evolution, potentially improving the accuracy of inferences about past ecological communities over longer timescales. Palaeogenomics has revealed instances of over- and underestimation of extinct diversity, detected cryptic faunal migration and turnover, allowed quantification of widespread sex biases and sexual dimorphism in the fossil record, revealed past hybridisation events and hybrid individuals, and has highlighted previously unrecognised routes of zoonotic disease transfer.
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Affiliation(s)
- Kieren J Mitchell
- Australian Centre for Ancient DNA (ACAD), School of Biological Sciences, University of Adelaide, Adelaide, South Australia, Australia; Australian Research Council (ARC) Centre of Excellence for Australian Biodiversity and Heritage (CABAH), School of Biological Sciences, University of Adelaide, Adelaide, South Australia, Australia.
| | - Nicolas J Rawlence
- Otago Palaeogenetics Laboratory, Department of Zoology, University of Otago, Dunedin, New Zealand
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