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Yuan J, Hu J, Liu W, Chen S, Zhang F, Wang S, Zhang Z, Wang L, Xiao B, Li F, Hofreiter M, Lai X, Westbury MV, Sheng G. Camelus knoblochi genome reveals the complex evolutionary history of Old World camels. Curr Biol 2024; 34:2502-2508.e5. [PMID: 38754423 DOI: 10.1016/j.cub.2024.04.050] [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: 10/17/2023] [Revised: 12/22/2023] [Accepted: 04/22/2024] [Indexed: 05/18/2024]
Abstract
Extant Old World camels (genus Camelus) contributed to the economic and cultural exchanges between the East and West for thousands of years.1,2 Although many remains have been unearthed,3,4,5 we know neither whether the prevalent hybridization observed between extant Camelus species2,6,7 also occurred between extinct lineages and the ancestors of extant Camelus species nor why some populations became extinct while others survived. To investigate these questions, we generated paleogenomic and stable isotope data from an extinct two-humped camel species, Camelus knoblochi. We find that in the mitochondrial phylogeny, all C. knoblochi form a paraphyletic group that nests within the diversity of modern, wild two-humped camels (Camelus ferus). In contrast, they are clearly distinguished from both wild and domesticated (Camelus bactrianus) two-humped camels on the nuclear level. Moreover, the divergence pattern of the three camel species approximates a trifurcation, because the most common topology is only slightly more frequent than the two other possible topologies. This mito-nuclear phylogenetic discordance likely arose due to interspecific gene flow between all three species, suggesting that interspecific hybridization is not exclusive to modern camels but a recurrent phenomenon throughout the evolutionary history of the genus Camelus. These results suggest that the genomic complexity of Old World camels' evolutionary history is underestimated when considering data from only modern species. Finally, we find that C. knoblochi populations began declining prior to the last glacial maximum and, by integrating palaeoecological evidence and stable isotope data, suggest that this was likely due to failure to adapt to a changing environment.
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Affiliation(s)
- Junxia Yuan
- State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Jincheng Road 68, Wuhan 430078, People's Republic of China; Faculty of Materials Science and Chemistry, China University of Geosciences, Jincheng Road 68, Wuhan 430078, People's Republic of China.
| | - Jiaming Hu
- State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Jincheng Road 68, Wuhan 430078, People's Republic of China; School of Earth Sciences, China University of Geosciences, Lumo Road 388, Wuhan 430074, People's Republic of China
| | - Wenhui Liu
- Institute of Environmental Archaeology, National Museum of China, East Chang'an Street 16, Beijing 100006, People's Republic of China
| | - Shungang Chen
- Faculty of Materials Science and Chemistry, China University of Geosciences, Jincheng Road 68, Wuhan 430078, People's Republic of China
| | - Fengli Zhang
- Daqing Museum, Wenyuan Street 2, Daqing, Heilongjiang 163711, People's Republic of China
| | - Siren Wang
- Daqing Museum, Wenyuan Street 2, Daqing, Heilongjiang 163711, People's Republic of China
| | - Zhen Zhang
- Zhaoyuan Museum, Zhongyang Street 192, Daqing, Heilongjiang 166599, People's Republic of China
| | - Linying Wang
- Faculty of Materials Science and Chemistry, China University of Geosciences, Jincheng Road 68, Wuhan 430078, People's Republic of China
| | - Bo Xiao
- State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Jincheng Road 68, Wuhan 430078, People's Republic of China; School of Earth Sciences, China University of Geosciences, Lumo Road 388, Wuhan 430074, People's Republic of China
| | - Fuqiang Li
- Yifu Museum, China University of Geosciences, Lumo Road 388, Wuhan 430074, People's Republic of China
| | - Michael Hofreiter
- Institute for Biochemistry and Biology, University of Potsdam, Karl-Liebknecht-Strasse 24-25, 14476 Potsdam, Germany
| | - Xulong Lai
- State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Jincheng Road 68, Wuhan 430078, People's Republic of China; School of Earth Sciences, China University of Geosciences, Lumo Road 388, Wuhan 430074, People's Republic of China
| | - Michael V Westbury
- Globe Institute, University of Copenhagen, Øster Voldgade 5-7, 1353 Copenhagen, Denmark.
| | - Guilian Sheng
- State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Jincheng Road 68, Wuhan 430078, People's Republic of China; School of Environmental Studies, China University of Geosciences, Jincheng Road 68, Wuhan 430078, People's Republic of China.
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2
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Bozlak E, Pokharel K, Weldenegodguad M, Paasivaara A, Stammler F, Røed KH, Kantanen J, Wallner B. Inferences about the population history of Rangifer tarandus from Y chromosome and mtDNA phylogenies. Ecol Evol 2024; 14:e11573. [PMID: 38863721 PMCID: PMC11164974 DOI: 10.1002/ece3.11573] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Revised: 05/27/2024] [Accepted: 05/30/2024] [Indexed: 06/13/2024] Open
Abstract
Reindeer, called caribou in North America, has a circumpolar distribution and all extant populations belong to the same species (Rangifer tarandus). It has survived the Holocene thanks to its immense adaptability and successful coexistence with humans in different forms of hunting and herding cultures. Here, we examine the paternal and maternal history of Rangifer based on robust Y-chromosomal and mitochondrial DNA (mtDNA) trees representing Eurasian tundra reindeer, Finnish forest reindeer, Svalbard reindeer, Alaska tundra caribou, and woodland caribou. We first assembled Y-chromosomal contigs, representing 1.3 Mb of single-copy Y regions. Based on 545 Y-chromosomal and 458 mtDNA SNPs defined in 55 males, maximum parsimony trees were created. We observed two well separated clades in both phylogenies: the "EuroBeringian clade" formed by animals from Arctic Islands, Eurasia, and a few from North America and the "North American clade" formed only by caribou from North America. The time calibrated Y tree revealed an expansion and dispersal of lineages across continents after the Last Glacial Maximum. We show for the first time unique paternal lineages in Svalbard reindeer and Finnish forest reindeer and reveal a circumscribed Y haplogroup in Fennoscandian tundra reindeer. The Y chromosome in domesticated reindeer is markedly diverse indicating that several male lineages have undergone domestication and less intensive selection on males. This study places R. tarandus onto the list of species with resolved Y and mtDNA phylogenies and builds the basis for studies of the distribution and origin of paternal and maternal lineages in the future.
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Affiliation(s)
- Elif Bozlak
- Department of Biomedical Sciences, Institute of Animal Breeding and GeneticsUniversity of Veterinary Medicine ViennaViennaAustria
- Vienna Graduate School of Population GeneticsUniversity of Veterinary Medicine ViennaViennaAustria
| | | | | | | | | | - Knut H. Røed
- Department of Preclinical Sciences and PathologyNorwegian University of Life SciencesÅsNorway
| | | | - Barbara Wallner
- Department of Biomedical Sciences, Institute of Animal Breeding and GeneticsUniversity of Veterinary Medicine ViennaViennaAustria
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3
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Bozlak E, Radovic L, Remer V, Rigler D, Allen L, Brem G, Stalder G, Castaneda C, Cothran G, Raudsepp T, Okuda Y, Moe KK, Moe HH, Kounnavongsa B, Keonouchanh S, Van NH, Vu VH, Shah MK, Nishibori M, Kazymbet P, Bakhtin M, Zhunushov A, Paul RC, Dashnyam B, Nozawa K, Almarzook S, Brockmann GA, Reissmann M, Antczak DF, Miller DC, Sadeghi R, von Butler-Wemken I, Kostaras N, Han H, Manglai D, Abdurasulov A, Sukhbaatar B, Ropka-Molik K, Stefaniuk-Szmukier M, Lopes MS, da Câmara Machado A, Kalashnikov VV, Kalinkova L, Zaitev AM, Novoa-Bravo M, Lindgren G, Brooks S, Rosa LP, Orlando L, Juras R, Kunieda T, Wallner B. Refining the evolutionary tree of the horse Y chromosome. Sci Rep 2023; 13:8954. [PMID: 37268661 DOI: 10.1038/s41598-023-35539-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Accepted: 05/19/2023] [Indexed: 06/04/2023] Open
Abstract
The Y chromosome carries information about the demography of paternal lineages, and thus, can prove invaluable for retracing both the evolutionary trajectory of wild animals and the breeding history of domesticates. In horses, the Y chromosome shows a limited, but highly informative, sequence diversity, supporting the increasing breeding influence of Oriental lineages during the last 1500 years. Here, we augment the primary horse Y-phylogeny, which is currently mainly based on modern horse breeds of economic interest, with haplotypes (HT) segregating in remote horse populations around the world. We analyze target enriched sequencing data of 5 Mb of the Y chromosome from 76 domestic males, together with 89 whole genome sequenced domestic males and five Przewalski's horses from previous studies. The resulting phylogeny comprises 153 HTs defined by 2966 variants and offers unprecedented resolution into the history of horse paternal lineages. It reveals the presence of a remarkable number of previously unknown haplogroups in Mongolian horses and insular populations. Phylogenetic placement of HTs retrieved from 163 archaeological specimens further indicates that most of the present-day Y-chromosomal variation evolved after the domestication process that started around 4200 years ago in the Western Eurasian steppes. Our comprehensive phylogeny significantly reduces ascertainment bias and constitutes a robust evolutionary framework for analyzing horse population dynamics and diversity.
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Affiliation(s)
- Elif Bozlak
- Institute of Animal Breeding and Genetics, University of Veterinary Medicine Vienna, 1210, Vienna, Austria
- Vienna Graduate School of Population Genetics, University of Veterinary Medicine Vienna, 1210, Vienna, Austria
| | - Lara Radovic
- Institute of Animal Breeding and Genetics, University of Veterinary Medicine Vienna, 1210, Vienna, Austria
- Vienna Graduate School of Population Genetics, University of Veterinary Medicine Vienna, 1210, Vienna, Austria
| | - Viktoria Remer
- Institute of Animal Breeding and Genetics, University of Veterinary Medicine Vienna, 1210, Vienna, Austria
| | - Doris Rigler
- Institute of Animal Breeding and Genetics, University of Veterinary Medicine Vienna, 1210, Vienna, Austria
| | - Lucy Allen
- Institute of Animal Breeding and Genetics, University of Veterinary Medicine Vienna, 1210, Vienna, Austria
| | - Gottfried Brem
- Institute of Animal Breeding and Genetics, University of Veterinary Medicine Vienna, 1210, Vienna, Austria
| | - Gabrielle Stalder
- Research Institute of Wildlife Ecology, University of Veterinary Medicine Vienna, 1210, Vienna, Austria
| | - Caitlin Castaneda
- School of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX, 77843, USA
| | - Gus Cothran
- School of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX, 77843, USA
| | - Terje Raudsepp
- School of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX, 77843, USA
| | - Yu Okuda
- Museum of Dinosaur Research, Okayama University of Science, Okayama, Japan
| | - Kyaw Kyaw Moe
- Department of Pathology and Microbiology, University of Veterinary Science, Yezin, Nay Pyi Taw, 05282, Myanmar
| | - Hla Hla Moe
- Department of Genetics and Animal Breeding, University of Veterinary Science, Yezin, Nay Pyi Taw, 05282, Myanmar
| | - Bounthavone Kounnavongsa
- National Agriculture and Forestry Research Institute (Lao) Resources, Livestock Research Center, Xaythany District, Vientiane, Laos
| | - Soukanh Keonouchanh
- Faculty of Animal Science and Veterinary Medicine, University of Agriculture and Forestry, Hue University, Hue, Vietnam
| | - Nguyen Huu Van
- Faculty of Animal Science and Veterinary Medicine, University of Agriculture and Forestry, Hue University, Hue, Vietnam
| | - Van Hai Vu
- Faculty of Animal Science and Veterinary Medicine, University of Agriculture and Forestry, Hue University, Hue, Vietnam
| | - Manoj Kumar Shah
- Faculty of Animal Science, Veterinary Science and Fisheries, Agriculture and Forestry University, Rampur, 44209, Nepal
| | - Masahide Nishibori
- Graduate School of Integrated Sciences for Life, Hiroshima University, Higashi-Hiroshima, 739-8528, Japan
| | - Polat Kazymbet
- Radiobiological Research Institute, JSC Astana Medical University, Astana, 010000, Republic of Kazakhstan
| | - Meirat Bakhtin
- Institute of Biotechnology, National Academy of Sciences of the Kyrgyz Republic, Bishkek, 720071, Kyrgyz Republic
| | - Asankadyr Zhunushov
- Institute of Biotechnology, National Academy of Sciences of the Kyrgyz Republic, Bishkek, 720071, Kyrgyz Republic
| | - Ripon Chandra Paul
- Graduate School of Environmental and Life Science, Okayama University, Okayama, Japan
- Faculty of Animal Science and Veterinary Medicine, Patuakhali Science and Technology University, Barishal, Bangladesh
| | - Bumbein Dashnyam
- Institute of Biological Sciences, Mongolian Academy of Sciences, Ulaan Baator, Mongolia
| | - Ken Nozawa
- Primate Research Institute, Kyoto University, Aichi, Japan
| | - Saria Almarzook
- Albrecht Daniel Thaer-Institut, Humboldt-Universität zu Berlin, 10115, Berlin, Germany
| | - Gudrun A Brockmann
- Albrecht Daniel Thaer-Institut, Humboldt-Universität zu Berlin, 10115, Berlin, Germany
| | - Monika Reissmann
- Baker Institute for Animal Health, College of Veterinary Medicine, Cornell University, Ithaca, NY, 14853, USA
| | - Douglas F Antczak
- Baker Institute for Animal Health, College of Veterinary Medicine, Cornell University, Ithaca, NY, 14853, USA
| | - Donald C Miller
- Baker Institute for Animal Health, College of Veterinary Medicine, Cornell University, Ithaca, NY, 14853, USA
| | - Raheleh Sadeghi
- Baker Institute for Animal Health, College of Veterinary Medicine, Cornell University, Ithaca, NY, 14853, USA
| | - Ines von Butler-Wemken
- Barb Horse Breeding Organisation VFZB E. V., Verein der Freunde und Züchter Des Berberpferdes E.V., Kirchgasse 11, 67718, Schmalenberg, Germany
| | | | - Haige Han
- Inner Mongolia Key Laboratory of Equine Genetics, Breeding and Reproduction, College of Animal Science, Equine Research Center, Inner Mongolia Agricultural University, Hohhot, 010018, China
| | - Dugarjaviin Manglai
- Inner Mongolia Key Laboratory of Equine Genetics, Breeding and Reproduction, College of Animal Science, Equine Research Center, Inner Mongolia Agricultural University, Hohhot, 010018, China
| | - Abdugani Abdurasulov
- Department of Agriculture, Faculty of Natural Sciences and Geography, Osh State University, 723500, Osh, Kyrgyzstan
| | - Boldbaatar Sukhbaatar
- Sector of Surveillance and Diagnosis of Infectious Diseases, State Central Veterinary Laboratory, Ulaanbaatar, 17024, Mongolia
| | - Katarzyna Ropka-Molik
- National Research Institute of Animal Production, Animal Molecular Biology, 31-047, Cracow, Poland
| | | | - Maria Susana Lopes
- Biotechnology Centre of Azores, University of Azores, 9700-042, Angra do Heroísmo, Portugal
| | | | | | - Liliya Kalinkova
- All-Russian Research Institute for Horse Breeding, Ryazan, 391105, Russia
| | - Alexander M Zaitev
- All-Russian Research Institute for Horse Breeding, Ryazan, 391105, Russia
| | - Miguel Novoa-Bravo
- Genética Animal de Colombia SAS., Av. Calle 26 #69-76, 111071, Bogotá, Colombia
| | - Gabriella Lindgren
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, 75007, Uppsala, Sweden
- Department of Biosystems, Center for Animal Breeding and Genetics, KU Leuven, 3001, Leuven, Belgium
| | - Samantha Brooks
- Department of Animal Science, UF Genetics Institute, University of Florida, Gainesville, FL, 32610, USA
| | - Laura Patterson Rosa
- Department of Agriculture and Industry, Sul Ross State University, Alpine, TX, 79832, USA
| | - Ludovic Orlando
- Centre d'Anthropobiologie et de Génomique de Toulouse, Université Paul Sabatier, Toulouse, France
| | - Rytis Juras
- School of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX, 77843, USA.
| | - Tetsuo Kunieda
- Graduate School of Environmental and Life Science, Okayama University, Okayama, Japan.
- Faculty of Veterinary Medicine, Okayama University of Science, Imabari, Japan.
| | - Barbara Wallner
- Institute of Animal Breeding and Genetics, University of Veterinary Medicine Vienna, 1210, Vienna, Austria.
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4
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Li L, Xu B, Tian D, Wang A, Zhu J, Li C, Li N, Zhao W, Shi L, Xue Y, Zhang Z, Bao Y, Zhao W, Song S. McAN: a novel computational algorithm and platform for constructing and visualizing haplotype networks. Brief Bioinform 2023; 24:bbad174. [PMID: 37170752 PMCID: PMC10199771 DOI: 10.1093/bib/bbad174] [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: 11/21/2022] [Revised: 03/30/2023] [Accepted: 04/17/2023] [Indexed: 05/13/2023] Open
Abstract
Haplotype networks are graphs used to represent evolutionary relationships between a set of taxa and are characterized by intuitiveness in analyzing genealogical relationships of closely related genomes. We here propose a novel algorithm termed McAN that considers mutation spectrum history (mutations in ancestry haplotype should be contained in descendant haplotype), node size (corresponding to sample count for a given node) and sampling time when constructing haplotype network. We show that McAN is two orders of magnitude faster than state-of-the-art algorithms without losing accuracy, making it suitable for analysis of a large number of sequences. Based on our algorithm, we developed an online web server and offline tool for haplotype network construction, community lineage determination, and interactive network visualization. We demonstrate that McAN is highly suitable for analyzing and visualizing massive genomic data and is helpful to enhance the understanding of genome evolution. Availability: Source code is written in C/C++ and available at https://github.com/Theory-Lun/McAN and https://ngdc.cncb.ac.cn/biocode/tools/BT007301 under the MIT license. Web server is available at https://ngdc.cncb.ac.cn/bit/hapnet/. SARS-CoV-2 dataset are available at https://ngdc.cncb.ac.cn/ncov/. Contact: songshh@big.ac.cn (Song S), zhaowm@big.ac.cn (Zhao W), baoym@big.ac.cn (Bao Y), zhangzhang@big.ac.cn (Zhang Z), ybxue@big.ac.cn (Xue Y).
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Affiliation(s)
- Lun Li
- National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
| | - Bo Xu
- National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
| | - Dongmei Tian
- National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
| | - Anke Wang
- National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
| | - Junwei Zhu
- National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
| | - Cuiping Li
- National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
| | - Na Li
- National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
| | - Wei Zhao
- National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Leisheng Shi
- University of Chinese Academy of Sciences, Beijing 100049, China
- Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, and China National Center for Bioinformation, Beijing, China
| | - Yongbiao Xue
- National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zhang Zhang
- National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
- CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yiming Bao
- National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
- CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Wenming Zhao
- National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
- CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shuhui Song
- National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
- CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
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5
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Ming L, Siren D, Hasi S, Jambl T, Ji R. Review of genetic diversity in Bactrian camel ( Camelus bactrianus). Anim Front 2022; 12:20-29. [PMID: 35974787 PMCID: PMC9374477 DOI: 10.1093/af/vfac027] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/04/2022] Open
Affiliation(s)
- Liang Ming
- Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, College of Food Science and Engineering, Inner Mongolia Agricultural University, 010018, Hohhot, China
| | - Dalai Siren
- Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, College of Food Science and Engineering, Inner Mongolia Agricultural University, 010018, Hohhot, China
| | - Surong Hasi
- Key Laboratory of Clinical Diagnosis and Treatment Technology in Animal Disease, Ministry of Agriculture, College of Veterinary Medicine, Inner Mongolia Agricultural University, 010018, Hohhot, China
| | - Tuyatsetseg Jambl
- China-Mongolia Joint Laboratory for Biomacromolecule Research, Ulaanbaatar, Mongolia
| | - Rimutu Ji
- Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, College of Food Science and Engineering, Inner Mongolia Agricultural University, 010018, Hohhot, China
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6
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Consortium VG, Nijman IJ, Rosen BD, Bardou P, Faraut T, Cumer T, Daly KG, Zheng Z, Cai Y, Asadollahpour H, Kul BÇ, Zhang WY, Guangxin E, Ayin A, Baird H, Bakhtin M, Bâlteanu VA, Barfield D, Berger B, Blichfeldt T, Boink G, Bugiwati SRA, Cai Z, Carolan S, Clark E, Cubric-Curik V, Dagong MIA, Dorji T, Drew L, Guo J, Hallsson J, Horvat S, Kantanen J, Kawaguchi F, Kazymbet P, Khayatzadeh N, Kim N, Shah MK, Liao Y, Martínez A, Masangkay JS, Masaoka M, Mazza R, McEwan J, Milanesi M, Faruque MO, Nomura Y, Ouchene-Khelifi NA, Pereira F, Sahana G, Salavati M, Sasazaki S, Da Silva A, Simčič M, Sölkner J, Sutherland A, Tigchelaar J, Zhang H, Consortium E, Ajmone-Marsan P, Bradley DG, Colli L, Drögemüller C, Jiang Y, Lei C, Mannen H, Pompanon F, Tosser-Klopp G, Lenstra JA. Geographical contrasts of Y-chromosomal haplogroups from wild and domestic goats reveal ancient migrations and recent introgressions. Mol Ecol 2022; 31:4364-4380. [PMID: 35751552 DOI: 10.1111/mec.16579] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 06/12/2022] [Accepted: 06/20/2022] [Indexed: 11/29/2022]
Abstract
By their paternal transmission, Y-chromosomal haplotypes are sensitive markers of population history and male-mediated introgression. Previous studies identified biallelic single-nucleotide variants in the SRY, ZFY, DDX3Y genes, which in domestic goats identified four major Y-chromosomal haplotypes Y1A, Y1B, Y2A and Y2B with a marked geographic partitioning. Here, we extracted goat Y-chromosomal variants from whole-genome sequences of 386 domestic goats (75 breeds) and 7 wild goat species, which were generated by the VarGoats goat genome project. Phylogenetic analyses indicated domestic haplogroups corresponding to Y1B, Y2A and Y2B, respectively, whereas Y1A is split into Y1AA and Y1AB. All five haplogroups were detected in 26 ancient DNA samples from southeast Europe or Asia. Haplotypes from present-day bezoars are not shared with domestic goats and are attached to deep nodes of the trees and networks. Haplogroup distributions for 186 domestic breeds indicate ancient paternal population bottlenecks and expansions during the migrations into northern Europe, eastern and southern Asia and Africa south of the Sahara. In addition, sharing of haplogroups indicates male-mediated introgressions, most notably an early gene flow from Asian goats into Madagascar and the crossbreeding that in the 19th century resulted in the popular Boer and Anglo-Nubian breeds. More recent introgressions are those from European goats into the native Korean goat population and from Boer goat into Uganda, Kenya, Tanzania, Malawi and Zimbabwe. This study illustrates the power of the Y-chromosomal variants for reconstructing the history of domestic species with a wide geographic range.
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Affiliation(s)
| | - Isaäc J Nijman
- Utrecht Univ., Netherlands.,Univ. Medical Center Utrecht, Utrecht Univ, The Netherlands
| | | | - Philippe Bardou
- GenPhySE, Univ. Toulouse, INRA, INPT, ENVT, Castanet Tolosan, France
| | - Thomas Faraut
- GenPhySE, Univ. Toulouse, INRA, INPT, ENVT, Castanet Tolosan, France
| | - Tristan Cumer
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LECA, Grenoble, France
| | | | - Zhuqing Zheng
- College of Animal Science & Technology, Northwest A&F Univ., Yangling, China
| | - Yudong Cai
- College of Animal Science & Technology, Northwest A&F Univ., Yangling, China
| | | | | | | | | | | | - Hayley Baird
- AgResearch, Invermay Agricultural Centre, Mosgiel, New Zealand
| | | | - Valentin A Bâlteanu
- Inst. of Life SciencesUniv. Agricultural Sciences and Veterinary Medicine of Cluj-Napoca, Cluj-Napoca, Romania
| | | | - Beate Berger
- Univ. Natural Resources and Life Sciences Vienna (BOKU)
| | - Thor Blichfeldt
- Norwegian Association of Sheep and Goat Breeders, Aas, Norway
| | - Geert Boink
- Stichting Zeldzame Huisdierrassen, Wageningen, The Netherlands
| | | | | | | | | | | | | | - Tashi Dorji
- International Centre for Integrated Mountain Development, Kathmandu, Nepal
| | | | | | | | - Simon Horvat
- Univ. Ljubljana, Biotechnical Faculty, Ljubljana, Slovenia
| | - Juha Kantanen
- Natural Resources Institute Finland (Luke), Jokioinen, Finland
| | | | | | | | - Namshin Kim
- Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, South Korea
| | | | - Yuying Liao
- Guangxi Key Laboratory of Livestock Genetic Improvement, Guangxi, China
| | | | | | | | - Raffaele Mazza
- Laboratorio Genetica e Servizi, Agrotis srl, Cremona, Italy
| | - John McEwan
- AgResearch, Invermay Agricultural Centre, Mosgiel, New Zealand
| | | | | | | | | | - Filipe Pereira
- IDENTIFICA Genetic Testing Maia & Centre for Functional Ecology, Porto, Portugal
| | | | | | | | | | - Mojca Simčič
- Univ. Ljubljana, Biotechnical Faculty, Ljubljana, Slovenia
| | | | | | | | | | | | - Paolo Ajmone-Marsan
- Univ. Cattolica del S. Cuore di Piacenza and BioDNA Biodiversity and Ancient DNA Res. Centre, Piacenza, Italy.,UCSC PRONUTRIGEN Nutrigenomics Res. Centre, Piacenza, Italy
| | | | - Licia Colli
- Univ. Cattolica del S. Cuore di Piacenza and BioDNA Biodiversity and Ancient DNA Res. Centre, Piacenza, Italy.,UCSC BioDNA Biodiversity and Ancient DNA Res. Centre, Piacenza, Italy
| | | | - Yu Jiang
- College of Animal Science & Technology, Northwest A&F Univ., Yangling, China
| | - Chuzhao Lei
- College of Animal Science & Technology, Northwest A&F Univ., Yangling, China
| | | | - François Pompanon
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LECA, Grenoble, France
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7
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What's in a name? Common name misuse potentially confounds the conservation of the wild camel Camelus ferus. ORYX 2022. [DOI: 10.1017/s0030605322000114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
Abstract
Common names allow species diversity to be acknowledged by experts and non-specialists alike; they are descriptors with both scientific and cultural implications. However, a lack of clarity when using a common name could risk altering perceptions of threatened species. This is the case for the Critically Endangered wild camel Camelus ferus, which, despite extensive evidence of its species status, is frequently referred to in English as wild Bactrian camel. However, the wild camel (Mongolian: хавтгай, khavtgai; Chinese: 野骆驼, ye luo tuo) is not a wild version of the domestic Bactrian camel Camelus bactrianus but a separate species near extinction, with an estimated population of c. 950. Failure to clearly separate Bactrian and wild camels in name risks masking the plight of the few remaining wild camels with the visible abundance of the domesticated species. Here we advocate the use of the accurate English common name wild camel for C. ferus ideally alongside its Indigenous names to correctly represent its cultural and conservation importance.
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8
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Babić Jordamović N, Kojović T, Dogan S, Bešić L, Salihefendić L, Konjhodžić R, Škaro V, Projić P, Hadžiavdić V, Ašić A, Marjanović D. Haplogroup Prediction Using Y-Chromosomal Short Tandem Repeats in the General Population of Bosnia and Herzegovina. Front Genet 2021; 12:671467. [PMID: 34178033 PMCID: PMC8226213 DOI: 10.3389/fgene.2021.671467] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Accepted: 04/28/2021] [Indexed: 11/20/2022] Open
Abstract
Human Y-chromosomal haplogroups are an important tool used in population genetics and forensic genetics. A conventional method used for Y haplogroup assignment is based on a set of Y-single nucleotide polymorphism (SNP) markers deployed, which exploits the low mutation rate nature of these markers. Y chromosome haplogroups can be successfully predicted from Y-short tandem repeat (STR) markers using different software packages, and this method gained much attention recently due to its labor-, time-, and cost-effectiveness. The present study was based on the analysis of a total of 480 adult male buccal swab samples collected from different regions of Bosnia and Herzegovina. Y haplogroup prediction was performed using Whit Athey’s Haplogroup Predictor, based on haplotype data on 23 Y-STR markers contained within the PowerPlex® Y23 kit. The results revealed the existence of 14 different haplogroups, with I2a, R1a, and E1b1b being the most prevalent with frequencies of 43.13, 14.79, and 14.58%, respectively. Compared to the previously published studies on Bosnian-Herzegovinian population based on Y-SNP and Y-STR data, this study represents an upgrade of molecular genetic data with a significantly larger number of samples, thus offering more accurate results and higher probability of detecting rare haplogroups.
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Affiliation(s)
- Naida Babić Jordamović
- Department of Genetics and Bioengineering, International Burch University, Sarajevo, Bosnia and Herzegovina
| | - Tamara Kojović
- Department of Genetics and Bioengineering, International Burch University, Sarajevo, Bosnia and Herzegovina
| | - Serkan Dogan
- Department of Genetics and Bioengineering, International Burch University, Sarajevo, Bosnia and Herzegovina
| | - Larisa Bešić
- Department of Genetics and Bioengineering, International Burch University, Sarajevo, Bosnia and Herzegovina
| | - Lana Salihefendić
- Department of Genetics and Bioengineering, International Burch University, Sarajevo, Bosnia and Herzegovina.,ALEA Genetic Center, Sarajevo, Bosnia and Herzegovina
| | | | - Vedrana Škaro
- Molecular Anthropology Laboratory, Center for Applied Bioanthropology, Institute for Anthropological Research, Zagreb, Croatia.,DNA Laboratory, Genos Ltd., Zagreb, Croatia
| | - Petar Projić
- Molecular Anthropology Laboratory, Center for Applied Bioanthropology, Institute for Anthropological Research, Zagreb, Croatia.,DNA Laboratory, Genos Ltd., Zagreb, Croatia
| | - Vesna Hadžiavdić
- Department of Biology, University of Tuzla, Tuzla, Bosnia and Herzegovina
| | - Adna Ašić
- Department of Genetics and Bioengineering, International Burch University, Sarajevo, Bosnia and Herzegovina
| | - Damir Marjanović
- Department of Genetics and Bioengineering, International Burch University, Sarajevo, Bosnia and Herzegovina.,Molecular Anthropology Laboratory, Center for Applied Bioanthropology, Institute for Anthropological Research, Zagreb, Croatia
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9
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An 8.22 Mb Assembly and Annotation of the Alpaca ( Vicugna pacos) Y Chromosome. Genes (Basel) 2021; 12:genes12010105. [PMID: 33467186 PMCID: PMC7830431 DOI: 10.3390/genes12010105] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Revised: 01/07/2021] [Accepted: 01/14/2021] [Indexed: 12/26/2022] Open
Abstract
The unique evolutionary dynamics and complex structure make the Y chromosome the most diverse and least understood region in the mammalian genome, despite its undisputable role in sex determination, development, and male fertility. Here we present the first contig-level annotated draft assembly for the alpaca (Vicugna pacos) Y chromosome based on hybrid assembly of short- and long-read sequence data of flow-sorted Y. The latter was also used for cDNA selection providing Y-enriched testis transcriptome for annotation. The final assembly of 8.22 Mb comprised 4.5 Mb of male specific Y (MSY) and 3.7 Mb of the pseudoautosomal region. In MSY, we annotated 15 X-degenerate genes and two novel transcripts, but no transposed sequences. Two MSY genes, HSFY and RBMY, are multicopy. The pseudoautosomal boundary is located between SHROOM2 and HSFY. Comparative analysis shows that the small and cytogenetically distinct alpaca Y shares most of MSY sequences with the larger dromedary and Bactrian camel Y chromosomes. Most of alpaca X-degenerate genes are also shared with other mammalian MSYs, though WWC3Y is Y-specific only in alpaca/camels and the horse. The partial alpaca Y assembly is a starting point for further expansion and will have applications in the study of camelid populations and male biology.
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10
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Deng J, Xie XL, Wang DF, Zhao C, Lv FH, Li X, Yang J, Yu JL, Shen M, Gao L, Yang JQ, Liu MJ, Li WR, Wang YT, Wang F, Li JQ, Hehua EE, Liu YG, Shen ZQ, Ren YL, Liu GJ, Chen ZH, Gorkhali NA, Rushdi HE, Salehian-Dehkordi H, Esmailizadeh A, Nosrati M, Paiva SR, Caetano AR, Štěpánek O, Olsaker I, Weimann C, Erhardt G, Curik I, Kantanen J, Mwacharo JM, Hanotte O, Bruford MW, Ciani E, Periasamy K, Amills M, Lenstra JA, Han JL, Zhang HP, Li L, Li MH. Paternal Origins and Migratory Episodes of Domestic Sheep. Curr Biol 2020; 30:4085-4095.e6. [PMID: 32822607 DOI: 10.1016/j.cub.2020.07.077] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2020] [Revised: 06/14/2020] [Accepted: 07/27/2020] [Indexed: 01/22/2023]
Abstract
The domestication and subsequent global dispersal of livestock are crucial events in human history, but the migratory episodes during the history of livestock remain poorly documented [1-3]. Here, we first developed a set of 493 novel ovine SNPs of the male-specific region of Y chromosome (MSY) by genome mapping. We then conducted a comprehensive genomic analysis of Y chromosome, mitochondrial DNA, and whole-genome sequence variations in a large number of 595 rams representing 118 domestic populations across the world. We detected four different paternal lineages of domestic sheep and resolved, at the global level, their paternal origins and differentiation. In Northern European breeds, several of which have retained primitive traits (e.g., a small body size and short or thin tails), and fat-tailed sheep, we found an overrepresentation of MSY lineages y-HC and y-HB, respectively. Using an approximate Bayesian computation approach, we reconstruct the demographic expansions associated with the segregation of primitive and fat-tailed phenotypes. These results together with archaeological evidence and historical data suggested the first expansion of early domestic hair sheep and the later expansion of fat-tailed sheep occurred ∼11,800-9,000 years BP and ∼5,300-1,700 years BP, respectively. These findings provide important insights into the history of migration and pastoralism of sheep across the Old World, which was associated with different breeding goals during the Neolithic agricultural revolution.
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Affiliation(s)
- Juan Deng
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing 100101, China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Xing-Long Xie
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Dong-Feng Wang
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Chao Zhao
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing 100101, China; College of Life Science, Hebei University, Baoding 071002, China
| | - Feng-Hua Lv
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing 100101, China; College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Xin Li
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Ji Yang
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing 100101, China; College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Jia-Lin Yu
- Station for Breeding and Improvement of Animal and Poultry of Changshou District, Chongqing 401220, China
| | - Min Shen
- Institute of Animal Husbandry and Veterinary Medicine, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi 832000, China; State Key Laboratory of Sheep Genetic Improvement and Healthy Breeding, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi 832000, China
| | - Lei Gao
- Institute of Animal Husbandry and Veterinary Medicine, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi 832000, China; State Key Laboratory of Sheep Genetic Improvement and Healthy Breeding, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi 832000, China
| | - Jing-Quan Yang
- Institute of Animal Husbandry and Veterinary Medicine, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi 832000, China; State Key Laboratory of Sheep Genetic Improvement and Healthy Breeding, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi 832000, China
| | - Ming-Jun Liu
- Animal Biotechnological Research Center, Xinjiang Academy of Animal Science, Urumqi 830001, China
| | - Wen-Rong Li
- Animal Biotechnological Research Center, Xinjiang Academy of Animal Science, Urumqi 830001, China
| | - Yu-Tao Wang
- College of Life and Geographic Sciences, Kashi University, Kashi 844000, China
| | - Feng Wang
- Institute of Sheep and Goat Science, Nanjing Agricultural University, Nanjing 210095, China
| | - Jin-Quan Li
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot 010000, China
| | - EEr Hehua
- Grass-Feeding Livestock Engineering Technology Research Center, Ningxia Academy of Agriculture and Forestry Sciences, Yinchuan 750000, China
| | - Yong-Gang Liu
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650000, China
| | - Zhi-Qiang Shen
- Shandong Binzhou Academy of Animal Science and Veterinary Medicine, Binzhou 256600, China
| | - Yan-Ling Ren
- Shandong Binzhou Academy of Animal Science and Veterinary Medicine, Binzhou 256600, China
| | - Guang-Jian Liu
- Novogene Bioinformatics Institute, Beijing 100083, China
| | - Ze-Hui Chen
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Neena A Gorkhali
- Animal Breeding Division, National Animal Science Institute, Nepal Agriculture Research Council (NARC), Kathmandu, Nepal
| | - Hossam E Rushdi
- Department of Animal Production, Faculty of Agriculture, Cairo University, 12613 Giza, Egypt
| | - Hosein Salehian-Dehkordi
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Ali Esmailizadeh
- Department of Animal Science, Faculty of Agriculture, Shahid Bahonar University of Kerman, Kerman, Iran
| | - Maryam Nosrati
- Department of Agriculture, Payame Noor University, Tehran, Iran
| | - Samuel R Paiva
- Embrapa Recursos Genéticos e Biotecnologia, Parque Estação Biológica, PqEB, Avenida W5 Norte (Final), Caixa Postal 02372, CEP 70770-917 Brasília, DF, Brazil
| | - Alexandre R Caetano
- Embrapa Recursos Genéticos e Biotecnologia, Parque Estação Biológica, PqEB, Avenida W5 Norte (Final), Caixa Postal 02372, CEP 70770-917 Brasília, DF, Brazil
| | - Ondřej Štěpánek
- Department of Virology, State Veterinary Institute Jihlava, Rantirovska 93, 58601, Jihlava, Czech Republic
| | - Ingrid Olsaker
- Department of Preclinical Sciences and Pathology, Faculty of Veterinary Medicine, Norwegian University of Life Sciences, Oslo, Norway
| | - Christina Weimann
- Department of Animal Breeding and Genetics, Justus-Liebig-University Giessen, Giessen, Germany
| | - Georg Erhardt
- Department of Animal Breeding and Genetics, Justus-Liebig-University Giessen, Giessen, Germany
| | - Ino Curik
- Department of Animal Science, Faculty of Agriculture, University of Zagreb, Zagreb, Croatia
| | - Juha Kantanen
- Production Systems, Natural Resources Institute Finland (Luke), FI-31600 Jokioinen, Finland
| | - Joram M Mwacharo
- International Center for Agricultural Research in the Dry Areas (ICARDA), P.O. Box 5689, Addis Ababa, Ethiopia; CTLGH and SRUC, the Roslin Institute Building, Easter Bush Campus, Edinburgh EH25 9RG, UK
| | - Olivier Hanotte
- LiveGene, International Livestock Research Institute (ILRI), P.O. Box 5689, Addis Ababa, Ethiopia; School of Life Sciences, University of Nottingham, University Park, Nottingham, NG72RD, UK
| | - Michael W Bruford
- School of Biosciences, Cardiff University, Cathays Park, Cardiff CF10 3AX, Wales, United Kingdom; Sustainable Places Research Institute, Cardiff University CF10 3BA, Wales, United Kingdom
| | - Elena Ciani
- Dipartimento di Bioscienze, Biotecnologie e Biofarmaceutica, Università degli Studi di Bari Aldo 24 Moro, Bari, Italy
| | - Kathiravan Periasamy
- Animal Production and Health Laboratory, Joint FAO/IAEA Division, International Atomic Energy Agency (IAEA), Vienna, Austria
| | - Marcel Amills
- Department of Animal Genetics, Center for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Campus de la Universitat Autònoma de Barcelona, Bellaterra 08193, Spain
| | - Johannes A Lenstra
- Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands
| | - Jian-Lin Han
- CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China; Livestock Genetics Program, International Livestock Research Institute (ILRI), Nairobi 00100, Kenya
| | - Hong-Ping Zhang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Li Li
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Meng-Hua Li
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing 100101, China; College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
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11
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Fitak RR, Mohandesan E, Corander J, Yadamsuren A, Chuluunbat B, Abdelhadi O, Raziq A, Nagy P, Walzer C, Faye B, Burger PA. Genomic signatures of domestication in Old World camels. Commun Biol 2020; 3:316. [PMID: 32561887 PMCID: PMC7305198 DOI: 10.1038/s42003-020-1039-5] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2019] [Accepted: 05/28/2020] [Indexed: 12/30/2022] Open
Abstract
Domestication begins with the selection of animals showing less fear of humans. In most domesticates, selection signals for tameness have been superimposed by intensive breeding for economical or other desirable traits. Old World camels, conversely, have maintained high genetic variation and lack secondary bottlenecks associated with breed development. By re-sequencing multiple genomes from dromedaries, Bactrian camels, and their endangered wild relatives, here we show that positive selection for candidate genes underlying traits collectively referred to as 'domestication syndrome' is consistent with neural crest deficiencies and altered thyroid hormone-based signaling. Comparing our results with other domestic species, we postulate that the core set of domestication genes is considerably smaller than the pan-domestication set - and overlapping genes are likely a result of chance and redundancy. These results, along with the extensive genomic resources provided, are an important contribution to understanding the evolutionary history of camels and the genomic features of their domestication.
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Affiliation(s)
- Robert Rodgers Fitak
- Institute of Population Genetics, Vetmeduni Vienna, Veterinärplatz 1, 1210, Vienna, Austria.
- Department of Biology, Genomics and Bioinformatics Cluster, University of Central Florida, Orlando, FL, 32816, USA.
| | - Elmira Mohandesan
- Institute of Population Genetics, Vetmeduni Vienna, Veterinärplatz 1, 1210, Vienna, Austria
- Department of Evolutionary Anthropology, University of Vienna, Althanstrasse 14, 1090, Vienna, Austria
| | - Jukka Corander
- Wellcome Sanger Institute, Hinxton, UK
- Helsinki Institute for Information Technology, Department of Mathematics and Statistics, University of Helsinki, FIN-00014, Helsinki, Finland
- Department of Biostatistics, University of Oslo, N-0317, Oslo, Norway
| | - Adiya Yadamsuren
- Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Jia No.20 North, DaTun road, ChaoYang District, Beijing, China
- Wild Camel Protection Foundation Mongolia. Jukov avenue, Bayanzurh District, Ulaanbaatar, 13343, Mongolia
| | - Battsetseg Chuluunbat
- Laboratory of Genetics, Institute of General and Experimental Biology, Mongolian Academy of Sciences, Peace avenue-54b, Bayarzurh District, Ulaanbaatar, 210351, Mongolia
| | - Omer Abdelhadi
- University of Khartoum, Department for Meat Sciences, Khartoum, Sudan
| | - Abdul Raziq
- Camelait, Alain Farms for Livestock Production, Alain Dubai Road, Alain, United Arab Emirates
| | - Peter Nagy
- Farm and Veterinary Department, Emirates Industry for Camel Milk and Products, PO Box 294236, Dubai, Umm Nahad, United Arab Emirates
| | - Chris Walzer
- Wildlife Conservation Society, Wildlife Health Program, Bronx, NY, USA
- Research Institute of Wildlife Ecology, Vetmeduni Vienna, Savoyenstraße 1, 1160, Vienna, Austria
| | - Bernard Faye
- CIRAD-ES, UMR 112, Campus International de Baillarguet, TA C/112A, 34398, Montpellier, France
| | - Pamela Anna Burger
- Institute of Population Genetics, Vetmeduni Vienna, Veterinärplatz 1, 1210, Vienna, Austria.
- Research Institute of Wildlife Ecology, Vetmeduni Vienna, Savoyenstraße 1, 1160, Vienna, Austria.
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12
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Ming L, Yuan L, Yi L, Ding G, Hasi S, Chen G, Jambl T, Hedayat-Evright N, Batmunkh M, Badmaevna GK, Gan-Erdene T, Ts B, Zhang W, Zulipikaer A, Hosblig, Erdemt, Natyrov A, Mamay P, Narenbatu, Meng G, Narangerel C, Khongorzul O, He J, Hai L, Lin W, Sirendalai, Sarentuya, Aiyisi, Li Y, Wang Z, Jirimutu. Whole-genome sequencing of 128 camels across Asia reveals origin and migration of domestic Bactrian camels. Commun Biol 2020; 3:1. [PMID: 31925316 PMCID: PMC6946651 DOI: 10.1038/s42003-019-0734-6] [Citation(s) in RCA: 174] [Impact Index Per Article: 43.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2019] [Accepted: 12/10/2019] [Indexed: 12/11/2022] Open
Abstract
The domestic Bactrian camels were treated as one of the principal means of locomotion between the eastern and western cultures in history. However, whether they originated from East Asia or Central Asia remains elusive. To address this question, we perform whole-genome sequencing of 128 camels across Asia. The extant wild and domestic Bactrian camels show remarkable genetic divergence, as they were split from dromedaries. The wild Bactrian camels also contribute little to the ancestry of domestic ones, although they share close habitat in East Asia. Interestingly, among the domestic Bactrian camels, those from Iran exhibit the largest genetic distance and the earliest split from all others in the phylogeny, despite evident admixture between domestic Bactrian camels and dromedaries living in Central Asia. Taken together, our study support the Central Asian origin of domestic Bactrian camels, which were then immigrated eastward to Mongolia where native wild Bactrian camels inhabit. Ming, Yuan et al. performed whole-genome sequencing on 128 wild and domesticated Bactrian camels across Asia. They show that wild and domestic Bactrian camels are genetically diverged from dromedaries, and that wild camels contributed little to domestic camel ancestry despite sharing a habitat in East Asia.
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Affiliation(s)
- Liang Ming
- Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, College of Food Science and Engineering, Inner Mongolia Agricultural University, Huhhot, China.,Inner Mongolia Institute of Camel Research, West Alax, Inner Mongolia, China
| | - Liyun Yuan
- Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China.,Bio-Med Big Data Center, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Li Yi
- Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, College of Food Science and Engineering, Inner Mongolia Agricultural University, Huhhot, China
| | - Guohui Ding
- Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China.,Gui'an Bio-Med Big Data Center, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Guiyang, China
| | - Surong Hasi
- Key Laboratory of Clinical Diagnosis and Treatment Technology in Animal Disease, Ministry of Agriculture, College of Veterinary Medicine, Inner Mongolia Agricultural University, Huhhot, China
| | - Gangliang Chen
- Bactrian Camel Academe of Altai, Xingjiang Wangyuan Camel Milk Limited Company, Fuhai County, Xijiang, China
| | - Tuyatsetseg Jambl
- College of Industrial Technology, Mongolian University of Science and Technology, Ulaanbaater, Mongolia
| | | | - Mijiddorj Batmunkh
- China-Mongolia Joint Laboratory for Biomacromolecule Research, Ulaanbaatar, Mongolia.,Mongolian Wild Camel Protection Area, Ministry of Nature and Environment, Ulaanbaatar, Mongolia
| | | | - Tudeviin Gan-Erdene
- Institute of Chemistry and Chemical Technology, Mongolian Academy of Sciences, Ulaanbaatar, Mongolia
| | - Batsukh Ts
- College of Industrial Technology, Mongolian University of Science and Technology, Ulaanbaater, Mongolia
| | - Wenbin Zhang
- Bactrian Camel Institute of Alxa, Inner Mongolia, China
| | - Azhati Zulipikaer
- Animal Science Institute, Xinjiang Academy of Animal Science, Urumqi, China
| | - Hosblig
- Animal Husbandry Bureau of North Urad, Bayannuur, Inner Mongolia, China
| | - Erdemt
- Animal Husbandry Workstation of West Sunid, Xiliingol, Inner Mongolia, China
| | - Arkady Natyrov
- Agrarian Faculty, Kalmyk State University, Republic of Kalmykia, Russia
| | | | - Narenbatu
- College of Animal Science, Inner Mongolia Agricultural University, Huhhot, China
| | - Gendalai Meng
- Department of Pharmacy, Affiliated Hospital of Inner Mongolia Medical University, Huhhot, China
| | | | - Orgodol Khongorzul
- Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, College of Food Science and Engineering, Inner Mongolia Agricultural University, Huhhot, China
| | - Jing He
- Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, College of Food Science and Engineering, Inner Mongolia Agricultural University, Huhhot, China
| | - Le Hai
- Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, College of Food Science and Engineering, Inner Mongolia Agricultural University, Huhhot, China
| | - Weili Lin
- Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Sirendalai
- Inner Mongolia Institute of Camel Research, West Alax, Inner Mongolia, China
| | - Sarentuya
- Inner Mongolia Institute of Camel Research, West Alax, Inner Mongolia, China
| | - Aiyisi
- College of Industrial Technology, Mongolian University of Science and Technology, Ulaanbaater, Mongolia
| | - Yixue Li
- Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China. .,Bio-Med Big Data Center, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China. .,Shanghai Center for Bioinformation Technology, Shanghai Industrial Technology Institute, Shanghai, China. .,Collaborative Innovation Center for Genetics and Development, Fudan University, Shanghai, China.
| | - Zhen Wang
- Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China.
| | - Jirimutu
- Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, College of Food Science and Engineering, Inner Mongolia Agricultural University, Huhhot, China. .,Inner Mongolia Institute of Camel Research, West Alax, Inner Mongolia, China. .,China-Mongolia Joint Laboratory for Biomacromolecule Research, Ulaanbaatar, Mongolia.
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13
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Liu C, Chen H, Ren Z, Zhang C, Yang X. Population genetic analysis of the domestic Bactrian camel in China by RAD-seq. Ecol Evol 2019; 9:11232-11242. [PMID: 31641468 PMCID: PMC6802064 DOI: 10.1002/ece3.5624] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2019] [Revised: 07/31/2019] [Accepted: 08/01/2019] [Indexed: 12/30/2022] Open
Abstract
Restriction site-associated DNA sequencing (RAD-seq) is one of the most effective high-throughput sequencing technologies for SNP development and utilization and has been applied to studying the origin and evolution of various species. The domestic Bactrian camels play an important role in economic trade and cultural construction. They are precious species resources and indispensable animals in China's agricultural production. Recently, the rapid development of modern transportation and agriculture, and the deterioration of the environment have led to a sharp decline in the number of camels. Although there have been some reports on the evolution history of the domestic Bactrian camel in China, the origin, evolutionary relationship, and genetic diversity of the camels are unclear due to the limitations of sample size and sequencing technology. Therefore, 47 samples of seven domestic Bactrian camel species from four regions (Inner Mongolia, Gansu, Qinghai, and Xinjiang) were prepared for RAD-seq analysis to study the evolutionary relationship and genetic diversity. In addition, seven domestic Bactrian camel species are located in different ecological zones, forming different characteristics and having potential development value. A total of 6,487,849 SNPs were genotyped. On the one hand, the filtered SNP information was used to conduct polymorphism mapping construction, LD attenuation analysis, and nucleotide diversity analysis. The results showed that the number of SNPs in Dongjiang camel was the highest, the LD coefficient decayed the fastest, and the nucleotide diversity was the highest. It indicates that Dongjiang camel has the highest genetic diversity. On the other hand, the filtered SNPs information was used to construct the phylogenetic tree, and F ST analysis, inbreeding coefficient analysis, principal component analysis, and population structure analysis were carried out. The results showed that Nanjiang camel and Beijiang camels grouped together, and the other five Bactrian camel populations gathered into another branch. It may be because the mountains in the northern part of Xinjiang and the desert in the middle isolate the two groups from the other five groups.
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Affiliation(s)
- Chenmiao Liu
- College of Animal Science and TechnologyNorthwest A&F UniversityYanglingChina
| | - Huiling Chen
- College of Animal Science and TechnologyNorthwest A&F UniversityYanglingChina
| | - Zhanjun Ren
- College of Animal Science and TechnologyNorthwest A&F UniversityYanglingChina
| | - Chengdong Zhang
- College of Animal Science and TechnologyNorthwest A&F UniversityYanglingChina
| | - Xuejiao Yang
- College of Animal Science and TechnologyNorthwest A&F UniversityYanglingChina
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Burger PA, Ciani E, Faye B. Old World camels in a modern world - a balancing act between conservation and genetic improvement. Anim Genet 2019; 50:598-612. [PMID: 31532019 PMCID: PMC6899786 DOI: 10.1111/age.12858] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/22/2019] [Indexed: 12/23/2022]
Abstract
Old World camels have served humans in cross‐continental caravans, transporting people and goods, connecting different cultures and providing milk, meat, wool and draught since their domestication around 3000–6000 years ago. In a world of modern transport and fast connectivity, these beasts of burden seem to be out‐dated. However, a growing demand for sustainable milk and meat production, especially in countries affected by climate change and increasing desertification, brings dromedaries (Camelus dromedarius) and Bactrian camels (Camelus bactrianus) back onstage and into the focus of animal breeders and scientists. In this review on the molecular genetics of these economically important species we give an overview about the evolutionary history, domestication and dispersal of Old World camels, whereas highlighting the need for conservation of wild two‐humped camels (Camelus ferus) as an evolutionarily unique and highly endangered species. We provide cutting‐edge information on the current molecular resources and on‐going sequencing projects. We cannot emphasise enough the importance of balancing the need for improving camel production traits with maintaining the genetic diversity in two domestic species with specific physiological adaptation to a desert environment.
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Affiliation(s)
- P A Burger
- Research Institute of Wildlife Ecology, Vetmeduni Vienna, Vienna, 1160, Austria
| | - E Ciani
- Dipartimento di Bioscienze, Biotecnologie e Biofarmaceutica, Università degli Studi di Bari 'Aldo Moro', Via Orabona, 4, 70125, Bari, Italy
| | - B Faye
- CIRAD-ES, UMR SELMET TAC/112A, Campus international de Baillarguet, 34398, Montpellier cedex, France
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