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Yang J, Wang DF, Huang JH, Zhu QH, Luo LY, Lu R, Xie XL, Salehian-Dehkordi H, Esmailizadeh A, Liu GE, Li MH. Structural variant landscapes reveal convergent signatures of evolution in sheep and goats. Genome Biol 2024; 25:148. [PMID: 38845023 PMCID: PMC11155191 DOI: 10.1186/s13059-024-03288-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 05/21/2024] [Indexed: 06/10/2024] Open
Abstract
BACKGROUND Sheep and goats have undergone domestication and improvement to produce similar phenotypes, which have been greatly impacted by structural variants (SVs). Here, we report a high-quality chromosome-level reference genome of Asiatic mouflon, and implement a comprehensive analysis of SVs in 897 genomes of worldwide wild and domestic populations of sheep and goats to reveal genetic signatures underlying convergent evolution. RESULTS We characterize the SV landscapes in terms of genetic diversity, chromosomal distribution and their links with genes, QTLs and transposable elements, and examine their impacts on regulatory elements. We identify several novel SVs and annotate corresponding genes (e.g., BMPR1B, BMPR2, RALYL, COL21A1, and LRP1B) associated with important production traits such as fertility, meat and milk production, and wool/hair fineness. We detect signatures of selection involving the parallel evolution of orthologous SV-associated genes during domestication, local environmental adaptation, and improvement. In particular, we find that fecundity traits experienced convergent selection targeting the gene BMPR1B, with the DEL00067921 deletion explaining ~10.4% of the phenotypic variation observed in goats. CONCLUSIONS Our results provide new insights into the convergent evolution of SVs and serve as a rich resource for the future improvement of sheep, goats, and related livestock.
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Affiliation(s)
- Ji Yang
- State Key Laboratory of Animal Biotech Breeding, China Agricultural University, Beijing, 100193, China
- College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Dong-Feng Wang
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing, 100101, China
- College of Life Sciences, University of Chinese Academy of Sciences (UCAS), Beijing, 100049, China
| | - Jia-Hui Huang
- State Key Laboratory of Animal Biotech Breeding, China Agricultural University, Beijing, 100193, China
- College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Qiang-Hui Zhu
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing, 100101, China
- College of Life Sciences, University of Chinese Academy of Sciences (UCAS), Beijing, 100049, China
| | - Ling-Yun Luo
- State Key Laboratory of Animal Biotech Breeding, China Agricultural University, Beijing, 100193, China
- College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Ran Lu
- State Key Laboratory of Animal Biotech Breeding, China Agricultural University, Beijing, 100193, China
- College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Xing-Long Xie
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing, 100101, China
- College of Life Sciences, University of Chinese Academy of Sciences (UCAS), Beijing, 100049, China
| | - Hosein Salehian-Dehkordi
- CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing, 100101, China
- College of Life Sciences, University of Chinese Academy of Sciences (UCAS), Beijing, 100049, China
| | - Ali Esmailizadeh
- Department of Animal Science, Faculty of Agriculture, Shahid Bahonar University of Kerman, Kerman, 76169-133, Iran
| | - George E Liu
- Animal Genomics and Improvement Laboratory, BARC, USDA-ARS, Beltsville, MD, 20705, USA
| | - Meng-Hua Li
- State Key Laboratory of Animal Biotech Breeding, China Agricultural University, Beijing, 100193, China.
- College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
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2
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Benfica LF, Brito LF, do Bem RD, de Oliveira LF, Mulim HA, Braga LG, Cyrillo JNSG, Bonilha SFM, Mercadante MEZ. Detection and characterization of copy number variation in three differentially-selected Nellore cattle populations. Front Genet 2024; 15:1377130. [PMID: 38694873 PMCID: PMC11061390 DOI: 10.3389/fgene.2024.1377130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Accepted: 04/05/2024] [Indexed: 05/04/2024] Open
Abstract
Introduction: Nellore cattle (Bos taurus indicus) is the main beef cattle breed raised in Brazil. This breed is well adapted to tropical conditions and, more recently, has experienced intensive genetic selection for multiple performance traits. Over the past 43 years, an experimental breeding program has been developed in the Institute of Animal Science (IZ, Sertaozinho, SP, Brazil), which resulted in three differentially-selected lines known as Nellore Control (NeC), Nellore Selection (NeS), and Nellore Traditional (NeT). The primary goal of this selection experiment was to determine the response to selection for yearling weight (YW) and residual feed intake (RFI) on Nellore cattle. The main objectives of this study were to: 1) identify copy number variation (CNVs) in Nellore cattle from three selection lines; 2) identify and characterize CNV regions (CNVR) on these three lines; and 3) perform functional enrichment analyses of the CNVR identified. Results: A total of 14,914 unique CNVs and 1,884 CNVRs were identified when considering all lines as a single population. The CNVRs were non-uniformly distributed across the chromosomes of the three selection lines included in the study. The NeT line had the highest number of CNVRs (n = 1,493), followed by the NeS (n = 823) and NeC (n = 482) lines. The CNVRs covered 23,449,890 bp (0.94%), 40,175,556 bp (1.61%), and 63,212,273 bp (2.54%) of the genome of the NeC, NeS, and NeT lines, respectively. Two CNVRs were commonly identified between the three lines, and six, two, and four exclusive regions were identified for NeC, NeS, and NeT, respectively. All the exclusive regions overlap with important genes, such as SMARCD3, SLC15A1, and MAPK1. Key biological processes associated with the candidate genes were identified, including pathways related to growth and metabolism. Conclusion: This study revealed large variability in CNVs and CNVRs across three Nellore lines differentially selected for YW and RFI. Gene annotation and gene ontology analyses of the exclusive CNVRs to each line revealed specific genes and biological processes involved in the expression of growth and feed efficiency traits. These findings contribute to the understanding of the genetic mechanisms underlying the phenotypic differences among the three Nellore selection lines.
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Affiliation(s)
- Lorena F. Benfica
- Department of Animal Sciences, Purdue University, West Lafayette, IN, United States
- Department of Animal Science, Faculty of Agricultural and Veterinary Sciences, Sao Paulo State University, Jaboticabal, São Paulo, Brazil
| | - Luiz F. Brito
- Department of Animal Sciences, Purdue University, West Lafayette, IN, United States
| | - Ricardo D. do Bem
- Department of Animal Science, Faculty of Agricultural and Veterinary Sciences, Sao Paulo State University, Jaboticabal, São Paulo, Brazil
| | | | - Henrique A. Mulim
- Department of Animal Sciences, Purdue University, West Lafayette, IN, United States
| | - Larissa G. Braga
- Department of Animal Science, Faculty of Agricultural and Veterinary Sciences, Sao Paulo State University, Jaboticabal, São Paulo, Brazil
- Department of Animal Biosciences, University of Guelph, Guelph, ON, Canada
| | | | - Sarah F. M. Bonilha
- Beef Cattle Research Center, Institute of Animal Science, Sertaozinho, São Paulo, Brazil
| | - Maria Eugenia Z. Mercadante
- Department of Animal Science, Faculty of Agricultural and Veterinary Sciences, Sao Paulo State University, Jaboticabal, São Paulo, Brazil
- Beef Cattle Research Center, Institute of Animal Science, Sertaozinho, São Paulo, Brazil
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3
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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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4
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Liu X, Liu W, Lenstra JA, Zheng Z, Wu X, Yang J, Li B, Yang Y, Qiu Q, Liu H, Li K, Liang C, Guo X, Ma X, Abbott RJ, Kang M, Yan P, Liu J. Evolutionary origin of genomic structural variations in domestic yaks. Nat Commun 2023; 14:5617. [PMID: 37726270 PMCID: PMC10509194 DOI: 10.1038/s41467-023-41220-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Accepted: 08/23/2023] [Indexed: 09/21/2023] Open
Abstract
Yak has been subject to natural selection, human domestication and interspecific introgression during its evolution. However, genetic variants favored by each of these processes have not been distinguished previously. We constructed a graph-genome for 47 genomes of 7 cross-fertile bovine species. This allowed detection of 57,432 high-resolution structural variants (SVs) within and across the species, which were genotyped in 386 individuals. We distinguished the evolutionary origins of diverse SVs in domestic yaks by phylogenetic analyses. We further identified 334 genes overlapping with SVs in domestic yaks that bore potential signals of selection from wild yaks, plus an additional 686 genes introgressed from cattle. Nearly 90% of the domestic yaks were introgressed by cattle. Introgression of an SV spanning the KIT gene triggered the breeding of white domestic yaks. We validated a significant association of the selected stratified SVs with gene expression, which contributes to phenotypic variations. Our results highlight that SVs of different origins contribute to the phenotypic diversity of domestic yaks.
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Affiliation(s)
- Xinfeng Liu
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystem, College of Ecology, Lanzhou University, Lanzhou, 730000, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, 730050, China
- Academy of Plateau Science and Sustainability, Qinghai Normal University, Xining, 810016, China
| | - Wenyu Liu
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystem, College of Ecology, Lanzhou University, Lanzhou, 730000, China
| | - Johannes A Lenstra
- Faculty of Veterinary Medicine, Utrecht University, Utrecht, 3508 TD, The Netherlands
| | - Zeyu Zheng
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystem, College of Ecology, Lanzhou University, Lanzhou, 730000, China
| | - Xiaoyun Wu
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, 730050, China
| | - Jiao Yang
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystem, College of Ecology, Lanzhou University, Lanzhou, 730000, China
| | - Bowen Li
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystem, College of Ecology, Lanzhou University, Lanzhou, 730000, China
| | - Yongzhi Yang
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystem, College of Ecology, Lanzhou University, Lanzhou, 730000, China
| | - Qiang Qiu
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystem, College of Ecology, Lanzhou University, Lanzhou, 730000, China
| | - Hongyu Liu
- Anhui Provincial Laboratory of Local Livestock and Poultry Genetical Resource Conservation and Breeding, College of Animal Science and Technology, Anhui Agricultural University, Hefei, 230036, China
| | - Kexin Li
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystem, College of Ecology, Lanzhou University, Lanzhou, 730000, China
| | - Chunnian Liang
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, 730050, China
| | - Xian Guo
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, 730050, China
| | - Xiaoming Ma
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, 730050, China
| | - Richard J Abbott
- School of Biology, University of St Andrews, St Andrews, KY16 9AJ, UK
| | - Minghui Kang
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystem, College of Ecology, Lanzhou University, Lanzhou, 730000, China.
| | - Ping Yan
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, 730050, China.
| | - Jianquan Liu
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystem, College of Ecology, Lanzhou University, Lanzhou, 730000, China.
- Academy of Plateau Science and Sustainability, Qinghai Normal University, Xining, 810016, China.
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5
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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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6
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Lee SH, Kim HY. Analysis of physicochemical properties of dry-cured beef made from Hanwoo and Holstein meat distributed in South Korea. Heliyon 2023; 9:e17091. [PMID: 37360092 PMCID: PMC10285165 DOI: 10.1016/j.heliyon.2023.e17091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 05/31/2023] [Accepted: 06/07/2023] [Indexed: 06/28/2023] Open
Abstract
The purpose of the study is to check the possibility of developing dry-cured meat from Hanwoo (South Korean native cattle) and Holstein cattle considering the differences between breeds and use this data for the preparation and development of dry cured ham unique to South Korea. Same-grade Semitendinosus muscle from Hanwoo and Holstein was cured using a curing agent with 4.6% salt content at 4 °C for 7 days, and then aged for 70 days. Data was analyzed through physicochemical characterization, and the manufacturing period was established through weight loss, volatile basic nitrogen (VBN), thiobarbituric acid reactive substances (TBARS). Moisture content and weight loss of both samples significantly decreased during the manufacturing process (P < 0.05). TBARS was significantly higher in Hanwoo and VBN in Holstein (P < 0.05). According to the values of VBN (less than 20 mg/100 g) and TBARS (less than 2 mg MDA/kg), dry aging for 5 weeks is appropriate for both samples. The principal component analysis of 5 weeks-aged Holstein showed a dramatically changing trend due to myofibril fragmentation as indicated by Sodium dodecyl sulfate-polyacrylamide-gel electrophoresis. In addition, 5 weeks-aged Holstein contains methanethiol (cheese), butan-2-one (butter), and 3-3-ethyl-2-methyl-1,3-hexadiene (fatty acid-derive) compounds that represent fermentation and aging flavors. Therefore, the possibility of product development was confirmed by the 5-week aging of Holstein dry-cured ham.
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7
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Jang S, Kim B, Lee J, Kang S, Kim JS, Kim JC, Kim SH, Shin T, Moon C. Lectin histochemistry of the olfactory mucosa of Korean native cattle, Bos taurus coreanae. J Vet Sci 2022; 23:e88. [PMID: 36448434 PMCID: PMC9715387 DOI: 10.4142/jvs.22184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 09/02/2022] [Accepted: 09/13/2022] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND The olfactory mucosa (OM) is crucial for odorant perception in the main olfactory system. The terminal carbohydrates of glycoconjugates influence chemoreception in the olfactory epithelium (OE). OBJECTIVES The histological characteristics and glycoconjugate composition of the OM of Korean native cattle (Hanwoo, Bos taurus coreae) were examined to characterize their morphology and possible functions during postnatal development. METHODS The OM of neonate and adult Korean native cattle was evaluated using histological, immunohistochemical, and lectin histochemical methods. RESULTS Histologically, the OM in both neonates and adults consists of the olfactory epithelium and the lamina propria. Additionally, using periodic acid Schiff and Alcian blue (pH 2.5), the mucus specificity of the Bowman's gland duct and acini in the lamina propria was determined. Immunohistochemistry demonstrated that mature and immature olfactory sensory neurons of OEs express the olfactory marker protein and growth associated protein-43, respectively. Lectin histochemistry indicated that numerous glycoconjugates, including as N-acetylglucosamine, mannose, galactose, N-acetylgalactosamine, complex type N-glycan, and fucose groups, were expressed at varied levels in the different cell types in the OMs of neonates and adults at varying levels. According to our observations, the cattle possessed a well-developed olfactory system, and the expression patterns of glycoconjugates in neonatal and adult OMs varied considerably. CONCLUSIONS This is the first study to describe the morphological assessment of the OM of Korean native cattle with a focus on lectin histochemistry. The findings suggest that glycoconjugates may play a role in olfactory chemoreception, and that their labeling properties may be closely related to OM development and maturity.
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Affiliation(s)
- Sungwoong Jang
- Department of Veterinary Anatomy and Animal Behavior, College of Veterinary Medicine and BK21 FOUR Program, Chonnam National University, Gwangju 61186, Korea
| | - Bohye Kim
- Department of Veterinary Anatomy and Animal Behavior, College of Veterinary Medicine and BK21 FOUR Program, Chonnam National University, Gwangju 61186, Korea
| | - Jeongmin Lee
- Department of Veterinary Anatomy and Animal Behavior, College of Veterinary Medicine and BK21 FOUR Program, Chonnam National University, Gwangju 61186, Korea
| | - Sohi Kang
- Department of Veterinary Anatomy and Animal Behavior, College of Veterinary Medicine and BK21 FOUR Program, Chonnam National University, Gwangju 61186, Korea
| | - Joong-Sun Kim
- Department of Veterinary Anatomy and Animal Behavior, College of Veterinary Medicine and BK21 FOUR Program, Chonnam National University, Gwangju 61186, Korea
| | - Jong-Choon Kim
- Department of Veterinary Anatomy and Animal Behavior, College of Veterinary Medicine and BK21 FOUR Program, Chonnam National University, Gwangju 61186, Korea
| | - Sung-Ho Kim
- Department of Veterinary Anatomy and Animal Behavior, College of Veterinary Medicine and BK21 FOUR Program, Chonnam National University, Gwangju 61186, Korea
| | - Taekyun Shin
- Department of Veterinary Anatomy, College of Veterinary Medicine, Jeju National University, Jeju 63243, Korea
| | - Changjong Moon
- Department of Veterinary Anatomy and Animal Behavior, College of Veterinary Medicine and BK21 FOUR Program, Chonnam National University, Gwangju 61186, Korea
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8
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Kelly CJ, Chitko-McKown CG, Chuong EB. Ruminant-specific retrotransposons shape regulatory evolution of bovine immunity. Genome Res 2022; 32:1474-1486. [PMID: 35948370 PMCID: PMC9435751 DOI: 10.1101/gr.276241.121] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Accepted: 05/05/2022] [Indexed: 02/03/2023]
Abstract
Cattle are an important livestock species, and mapping the genomic architecture of agriculturally relevant traits such as disease susceptibility is a major challenge in the bovine research community. Lineage-specific transposable elements (TEs) are increasingly recognized to contribute to gene regulatory evolution and variation, but this possibility has been largely unexplored in ruminant genomes. We conducted epigenomic profiling of the type II interferon (IFN) response in bovine cells and found thousands of ruminant-specific TEs including MER41_BT and Bov-A2 elements predicted to act as IFN-inducible enhancer elements. CRISPR knockout experiments in bovine cells established that critical immune factors including IFNAR2 and IL2RB are transcriptionally regulated by TE-derived enhancers. Finally, population genomic analysis of 38 individuals revealed that a subset of polymorphic TE insertions may function as enhancers in modern cattle. Our study reveals that lineage-specific TEs have shaped the evolution of ruminant IFN responses and potentially continue to contribute to immune gene regulatory differences across modern breeds and individuals. Together with previous work in human cells, our findings demonstrate that lineage-specific TEs have been independently co-opted to regulate IFN-inducible gene expression in multiple species, supporting TE co-option as a recurrent mechanism driving the evolution of IFN-inducible transcriptional networks.
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Affiliation(s)
- Conor J Kelly
- Department of Molecular, Cellular, and Developmental Biology and BioFrontiers Institute, University of Colorado Boulder, Boulder, Colorado 80309, USA
| | - Carol G Chitko-McKown
- USDA, ARS, Roman L. Hruska US Meat Animal Research Center (MARC), Clay Center, Nebraska 68933, USA
| | - Edward B Chuong
- Department of Molecular, Cellular, and Developmental Biology and BioFrontiers Institute, University of Colorado Boulder, Boulder, Colorado 80309, USA
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Boschiero C, Gao Y, Baldwin RL, Ma L, Li CJ, Liu GE. Differentially CTCF-Binding Sites in Cattle Rumen Tissue during Weaning. Int J Mol Sci 2022; 23:ijms23169070. [PMID: 36012336 PMCID: PMC9408924 DOI: 10.3390/ijms23169070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 08/09/2022] [Accepted: 08/11/2022] [Indexed: 11/17/2022] Open
Abstract
The weaning transition in calves is characterized by major structural changes such as an increase in the rumen capacity and surface area due to diet changes. Studies evaluating rumen development in calves are vital to identify genetic mechanisms affected by weaning. This study aimed to provide a genome-wide characterization of CTCF-binding sites and differentially CTCF-binding sites (DCBS) in rumen tissue during the weaning transition of four Holstein calves to uncover regulatory elements in rumen epithelial tissue using ChIP-seq. Our study generated 67,280 CTCF peaks for the before weaning (BW) and 39,891 for after weaning (AW). Then, 7401 DCBS were identified for the AW vs. BW comparison representing 0.15% of the cattle genome, comprising ~54% of induced DCBS and ~46% of repressed DCBS. Most of the induced and repressed DCBS were in distal intergenic regions, showing a potential role as insulators. Gene ontology enrichment revealed many shared GO terms for the induced and the repressed DCBS, mainly related to cellular migration, proliferation, growth, differentiation, cellular adhesion, digestive tract morphogenesis, and response to TGFβ. In addition, shared KEGG pathways were obtained for adherens junction and focal adhesion. Interestingly, other relevant KEGG pathways were observed for the induced DCBS like gastric acid secretion, salivary secretion, bacterial invasion of epithelial cells, apelin signaling, and mucin-type O-glycan biosynthesis. IPA analysis further revealed pathways with potential roles in rumen development during weaning, including TGFβ, Integrin-linked kinase, and Integrin signaling. When DCBS were further integrated with RNA-seq data, 36 putative target genes were identified for the repressed DCBS, including KRT84, COL9A2, MATN3, TSPAN1, and AJM1. This study successfully identified DCBS in cattle rumen tissue after weaning on a genome-wide scale and revealed several candidate target genes that may have a role in rumen development, such as TGFβ, integrins, keratins, and SMADs. The information generated in this preliminary study provides new insights into bovine genome regulation and chromatin landscape.
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Affiliation(s)
- Clarissa Boschiero
- Animal Genomics and Improvement Laboratory, Beltsville Agricultural Research Center, Agricultural Research Service, U.S. Department of Agriculture, Beltsville, MD 20705, USA
| | - Yahui Gao
- Animal Genomics and Improvement Laboratory, Beltsville Agricultural Research Center, Agricultural Research Service, U.S. Department of Agriculture, Beltsville, MD 20705, USA
- Department of Animal and Avian Sciences, University of Maryland, College Park, MD 20742, USA
| | - Ransom L. Baldwin
- Animal Genomics and Improvement Laboratory, Beltsville Agricultural Research Center, Agricultural Research Service, U.S. Department of Agriculture, Beltsville, MD 20705, USA
| | - Li Ma
- Department of Animal and Avian Sciences, University of Maryland, College Park, MD 20742, USA
| | - Cong-jun Li
- Animal Genomics and Improvement Laboratory, Beltsville Agricultural Research Center, Agricultural Research Service, U.S. Department of Agriculture, Beltsville, MD 20705, USA
- Correspondence: (C.-j.L.); (G.E.L.); Tel.: +1-301-504-7216 (C.-j.L.); +1-301-504-9843 (G.E.L.); Fax: +1-301-504-8414 (C.-j.L. & G.E.L.)
| | - George E. Liu
- Animal Genomics and Improvement Laboratory, Beltsville Agricultural Research Center, Agricultural Research Service, U.S. Department of Agriculture, Beltsville, MD 20705, USA
- Correspondence: (C.-j.L.); (G.E.L.); Tel.: +1-301-504-7216 (C.-j.L.); +1-301-504-9843 (G.E.L.); Fax: +1-301-504-8414 (C.-j.L. & G.E.L.)
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10
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Identification of Candidate Genes Regulating Carcass Depth and Hind Leg Circumference in Simmental Beef Cattle Using Illumina Bovine Beadchip and Next-Generation Sequencing Analyses. Animals (Basel) 2022; 12:ani12091103. [PMID: 35565529 PMCID: PMC9102740 DOI: 10.3390/ani12091103] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2022] [Revised: 04/14/2022] [Accepted: 04/21/2022] [Indexed: 12/27/2022] Open
Abstract
Genome-wide association studies are a robust means of identifying candidate genes that regulate economically important traits in farm animals. The aim of this study is to identify single-nucleotide polymorphisms (SNPs) and candidate genes potentially related to carcass depth and hind leg circumference in Simmental beef cattle. We performed Illumina Bovine HD Beadchip (~670 k SNPs) and next-generation sequencing (~12 million imputed SNPs) analyses of data from 1252 beef cattle, to which we applied a linear mixed model. Using a statistical threshold (p = 0.05/number of SNPs identified) and adopting a false discovery rate (FDR), we identified many putative SNPs on different bovine chromosomes. We identified 12 candidate genes potentially annotated with the markers identified, including CDKAL1 and E2F3, related to myogenesis and skeletal muscle development. The identification of such genes in Simmental beef cattle will help breeders to understand and improve related traits, such as meat yield.
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11
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Kwon T, Kim K, Caetano-Anolles K, Sung S, Cho S, Jeong C, Hanotte O, Kim H. Mitonuclear incompatibility as a hidden driver behind the genome ancestry of African admixed cattle. BMC Biol 2022; 20:20. [PMID: 35039029 PMCID: PMC8764764 DOI: 10.1186/s12915-021-01206-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2021] [Accepted: 12/03/2021] [Indexed: 11/10/2022] Open
Abstract
Background Africa is an important watershed in the genetic history of domestic cattle, as two lineages of modern cattle, Bos taurus and B. indicus, form distinct admixed cattle populations. Despite the predominant B. indicus nuclear ancestry of African admixed cattle, B. indicus mitochondria have not been found on the continent. This discrepancy between the mitochondrial and nuclear genomes has been previously hypothesized to be driven by male-biased introgression of Asian B. indicus into ancestral African B. taurus. Given that this hypothesis mandates extreme demographic assumptions relying on random genetic drift, we propose a novel hypothesis of selection induced by mitonuclear incompatibility and assess these hypotheses with regard to the current genomic status of African admixed cattle. Results By analyzing 494 mitochondrial and 235 nuclear genome sequences, we first confirmed the genotype discrepancy between mitochondrial and nuclear genome in African admixed cattle: the absence of B. indicus mitochondria and the predominant B. indicus autosomal ancestry. We applied approximate Bayesian computation (ABC) to assess the posterior probabilities of two selection hypotheses given this observation. The results of ABC indicated that the model assuming both male-biased B. indicus introgression and selection induced by mitonuclear incompatibility explains the current genomic discrepancy most accurately. Subsequently, we identified selection signatures at autosomal loci interacting with mitochondria that are responsible for integrity of the cellular respiration system. By contrast with B. indicus-enriched genome ancestry of African admixed cattle, local ancestries at these selection signatures were enriched with B. taurus alleles, concurring with the key expectation of selection induced by mitonuclear incompatibility. Conclusions Our findings support the current genome status of African admixed cattle as a potential outcome of male-biased B. indicus introgression, where mitonuclear incompatibility exerted selection pressure against B. indicus mitochondria. This study provides a novel perspective on African cattle demography and supports the role of mitonuclear incompatibility in the hybridization of mammalian species. Supplementary Information The online version contains supplementary material available at 10.1186/s12915-021-01206-x.
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Affiliation(s)
- Taehyung Kwon
- Department of Agricultural Biotechnology and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, South Korea
| | - Kwondo Kim
- Department of Agricultural Biotechnology and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, South Korea.,eGnome, Inc, Seoul, South Korea
| | | | | | | | - Choongwon Jeong
- School of Biological Sciences, Seoul National University, Seoul, South Korea
| | - Olivier Hanotte
- School of Life Sciences, University of Nottingham, Nottingham, UK. .,LiveGene, International Livestock Research Institute (ILRI), Addis Ababa, Ethiopia. .,The Centre for Tropical Livestock Genetics and Health (CTLGH), The Roslin Institute, The University of Edinburgh, Edinburgh, UK.
| | - Heebal Kim
- Department of Agricultural Biotechnology and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, South Korea. .,eGnome, Inc, Seoul, South Korea. .,Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, South Korea.
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12
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Sinding MHS, Ciucani MM, Ramos-Madrigal J, Carmagnini A, Rasmussen JA, Feng S, Chen G, Vieira FG, Mattiangeli V, Ganjoo RK, Larson G, Sicheritz-Pontén T, Petersen B, Frantz L, Gilbert MTP, Bradley DG. Kouprey ( Bos sauveli) genomes unveil polytomic origin of wild Asian Bos. iScience 2021; 24:103226. [PMID: 34712923 PMCID: PMC8531564 DOI: 10.1016/j.isci.2021.103226] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 08/11/2021] [Accepted: 10/01/2021] [Indexed: 12/30/2022] Open
Abstract
The evolution of the genera Bos and Bison, and the nature of gene flow between wild and domestic species, is poorly understood, with genomic data of wild species being limited. We generated two genomes from the likely extinct kouprey (Bos sauveli) and analyzed them alongside other Bos and Bison genomes. We found that B. sauveli possessed genomic signatures characteristic of an independent species closely related to Bos javanicus and Bos gaurus. We found evidence for extensive incomplete lineage sorting across the three species, consistent with a polytomic diversification of the major ancestry in the group, potentially followed by secondary gene flow. Finally, we detected significant gene flow from an unsampled Asian Bos-like source into East Asian zebu cattle, demonstrating both that the full genomic diversity and evolutionary history of the Bos complex has yet to be elucidated and that museum specimens and ancient DNA are valuable resources to do so. We generated two genomes from the likely extinct kouprey (Bos sauveli) Extensive mt and nuclear-genome-wide incomplete lineage sorting across wild Asian Bos Initial polytomic diversification of the wild Asian Bos—kouprey, banteng, and gaur
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Affiliation(s)
| | | | | | - Alberto Carmagnini
- School of Biological and Chemical Sciences, Queen Mary University of London, London, UK
| | - Jacob Agerbo Rasmussen
- Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Laboratory of Genomics and Molecular Medicine, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Shaohong Feng
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen, China
| | - Guangji Chen
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen, China
- University of Chinese Academy of Sciences, Beijing, China
| | | | | | | | - Greger Larson
- The Palaeogenomics and Bio-Archaeology Research Network, Research Laboratory for Archaeology and History of Art, University of Oxford, Oxford, UK
| | - Thomas Sicheritz-Pontén
- Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Centre of Excellence for Omics-Driven Computational Biodiscovery (COMBio), Faculty of Applied Sciences, AIMST University, Kedah, Malaysia
| | - Bent Petersen
- Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Centre of Excellence for Omics-Driven Computational Biodiscovery (COMBio), Faculty of Applied Sciences, AIMST University, Kedah, Malaysia
| | - Laurent Frantz
- School of Biological and Chemical Sciences, Queen Mary University of London, London, UK
- Palaeogenomics Group, Department of Veterinary Sciences, Ludwig Maximilian University, Munich, Germany
| | - M. Thomas P. Gilbert
- Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Center for Evolutionary Hologenomics, University of Copenhagen, Copenhagen, Denmark
- Norwegian University of Science and Technology, University Museum, Trondheim, Norway
| | - Daniel G. Bradley
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
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13
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Serranito B, Cavalazzi M, Vidal P, Taurisson-Mouret D, Ciani E, Bal M, Rouvellac E, Servin B, Moreno-Romieux C, Tosser-Klopp G, Hall SJG, Lenstra JA, Pompanon F, Benjelloun B, Da Silva A. Local adaptations of Mediterranean sheep and goats through an integrative approach. Sci Rep 2021; 11:21363. [PMID: 34725398 PMCID: PMC8560853 DOI: 10.1038/s41598-021-00682-z] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2021] [Accepted: 09/03/2021] [Indexed: 11/20/2022] Open
Abstract
Small ruminants are suited to a wide variety of habitats and thus represent promising study models for identifying genes underlying adaptations. Here, we considered local Mediterranean breeds of goats (n = 17) and sheep (n = 25) from Italy, France and Spain. Based on historical archives, we selected the breeds potentially most linked to a territory and defined their original cradle (i.e., the geographical area in which the breed has emerged), including transhumant pastoral areas. We then used the programs PCAdapt and LFMM to identify signatures of artificial and environmental selection. Considering cradles instead of current GPS coordinates resulted in a greater number of signatures identified by the LFMM analysis. The results, combined with a systematic literature review, revealed a set of genes with potentially key adaptive roles in relation to the gradient of aridity and altitude. Some of these genes have been previously implicated in lipid metabolism (SUCLG2, BMP2), hypoxia stress/lung function (BMPR2), seasonal patterns (SOX2, DPH6) or neuronal function (TRPC4, TRPC6). Selection signatures involving the PCDH9 and KLH1 genes, as well as NBEA/NBEAL1, were identified in both species and thus could play an important adaptive role.
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Affiliation(s)
- Bruno Serranito
- INRA, EA7500, USC1061 GAMAA, Univ. Limoges, 87000, Limoges, France
- CRESCO, Museum National d'Histoire Naturelle (MNHN), 35800, Dinard, France
| | | | - Pablo Vidal
- Universidad Catolica de Valencia, Valencia, Spain
| | - Dominique Taurisson-Mouret
- GEOLAB, UMR 6042, Univ. Limoges, Limoges, France
- CNRS, UMR 5815, Dynamiques du droit, Université de Montpellier, Montpellier, France
| | - Elena Ciani
- Department of Biosciences, Biotechnologies and Biopharmaceutics, University of Bari, Bari, Italy
| | - Marie Bal
- GEOLAB, UMR 6042, Univ. Limoges, Limoges, France
| | | | - Bertrand Servin
- GenPhySE, INRAE, ENVT, Université de Toulouse, 31326, Castanet-Tolosan, France
| | | | | | - Stephen J G Hall
- Estonian University of Life Sciences, Kreutzwaldi 5, 51014, Tartu, Estonia
| | - Johannes A Lenstra
- Faculty of Veterinary Medicine, Utrecht University, Yalelaan 104, 3584 CM, Utrecht, The Netherlands
| | - François Pompanon
- Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LECA, F-38000, Grenoble, France
| | - Badr Benjelloun
- Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LECA, F-38000, Grenoble, France
- National Institute of Agronomic Research (INRA), Regional Centre of Agronomic Research, Beni-Mellal, Morocco
| | - Anne Da Silva
- INRA, EA7500, USC1061 GAMAA, Univ. Limoges, 87000, Limoges, France.
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14
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Zepeda-Batista JL, Núñez-Domínguez R, Ramírez-Valverde R, Jahuey-Martínez FJ, Herrera-Ojeda JB, Parra-Bracamonte GM. Discovering of Genomic Variations Associated to Growth Traits by GWAS in Braunvieh Cattle. Genes (Basel) 2021; 12:genes12111666. [PMID: 34828272 PMCID: PMC8618990 DOI: 10.3390/genes12111666] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 10/07/2021] [Accepted: 10/20/2021] [Indexed: 01/01/2023] Open
Abstract
A genome-wide association study (GWAS) was performed to elucidate genetic architecture of growth traits in Braunvieh cattle. Methods: The study included 300 genotyped animals by the GeneSeek® Genomic Profiler Bovine LDv.4 panel; after quality control, 22,734 SNP and 276 animals were maintained in the analysis. The examined phenotypic data considered birth (BW), weaning (WW), and yearling weights. The association analysis was performed using the principal components method via the egscore function of the GenABEL version 1.8-0 package in the R environment. The marker rs133262280 located in BTA 22 was associated with BW, and two SNPs were associated with WW, rs43668789 (BTA 11) and rs136155567 (BTA 27). New QTL associated with these liveweight traits and four positional and functional candidate genes potentially involved in variations of the analyzed traits were identified. The most important genes in these genomic regions were MCM2 (minichromosome maintenance complex component 2), TPRA1 (transmembrane protein adipocyte associated 1), GALM (galactose mutarotase), and NRG1 (neuregulin 1), related to embryonic cleavage, bone and tissue growth, cell adhesion, and organic development. This study is the first to present a GWAS conducted in Braunvieh cattle in Mexico providing evidence for genetic architecture of assessed growth traits. Further specific analysis of found associated genes and regions will clarify its contribution to the genetic basis of growth-related traits.
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Affiliation(s)
- José Luis Zepeda-Batista
- Facultad de Medicina Veterinaria y Zootecnia, Universidad de Colima, Kilometro 40 Autopista Colima-Manzanillo, Tecomán 28100, Colima, Mexico;
- Departamento de Zootecnia, Posgrado en Producción Animal, Universidad Autónoma Chapingo, Km. 38.5 Carretera México-Texcoco, Chapingo 56230, Texcoco, Mexico; (R.N.-D.); (R.R.-V.)
| | - Rafael Núñez-Domínguez
- Departamento de Zootecnia, Posgrado en Producción Animal, Universidad Autónoma Chapingo, Km. 38.5 Carretera México-Texcoco, Chapingo 56230, Texcoco, Mexico; (R.N.-D.); (R.R.-V.)
| | - Rodolfo Ramírez-Valverde
- Departamento de Zootecnia, Posgrado en Producción Animal, Universidad Autónoma Chapingo, Km. 38.5 Carretera México-Texcoco, Chapingo 56230, Texcoco, Mexico; (R.N.-D.); (R.R.-V.)
| | - Francisco Joel Jahuey-Martínez
- Facultad de Zootecnia y Ecologa, Universidad Autónoma de Chihuahua, Periférico Francisco R. Almada, Km 1, Chihuahua 33820, Chihuahua, Mexico;
| | - Jessica Beatriz Herrera-Ojeda
- Departamento de Ciencias Básicas, Instituto Tecnológico del Valle de Morelia, Instituto Tecnológico Nacional, Morelia 58100, Michoacán, Mexico;
| | - Gaspar Manuel Parra-Bracamonte
- Centro de Biotecnología Genómica, Instituto Politécnico Nacional, Boulevard del Maestro S/N esq. Elías Piña, Col. Narciso Mendoza, Ciudad Reynosa 88710, Tamaulipas, Mexico
- Correspondence: ; Tel.: +52-899-924-3627 (ext. 87709)
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15
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Buggiotti L, Yurchenko AA, Yudin NS, Vander Jagt CJ, Vorobieva NV, Kusliy MA, Vasiliev SK, Rodionov AN, Boronetskaya OI, Zinovieva NA, Graphodatsky AS, Daetwyler HD, Larkin DM. Demographic History, Adaptation, and NRAP Convergent Evolution at Amino Acid Residue 100 in the World Northernmost Cattle from Siberia. Mol Biol Evol 2021; 38:3093-3110. [PMID: 33784744 PMCID: PMC8321547 DOI: 10.1093/molbev/msab078] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Native cattle breeds represent an important cultural heritage. They are a reservoir of genetic variation useful for properly responding to agriculture needs in the light of ongoing climate changes. Evolutionary processes that occur in response to extreme environmental conditions could also be better understood using adapted local populations. Herein, different evolutionary histories of the world northernmost native cattle breeds from Russia were investigated. They highlighted Kholmogory as a typical taurine cattle, whereas Yakut cattle separated from European taurines approximately 5,000 years ago and contain numerous ancestral and some novel genetic variants allowing their adaptation to harsh conditions of living above the Polar Circle. Scans for selection signatures pointed to several common gene pathways related to adaptation to harsh climates in both breeds. But genes affected by selection from these pathways were mostly different. A Yakut cattle breed-specific missense mutation in a highly conserved NRAP gene represents a unique example of a young amino acid residue convergent change shared with at least 16 species of hibernating/cold-adapted mammals from six distinct phylogenetic orders. This suggests a convergent evolution event along the mammalian phylogenetic tree and fast fixation in a single isolated cattle population exposed to a harsh climate.
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Affiliation(s)
- Laura Buggiotti
- Royal Veterinary College, University of London, London, United Kingdom
| | - Andrey A Yurchenko
- The Federal Research Center Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences (ICG SB RAS), Novosibirsk, Russia
- Kurchatov Genomics Center, Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Science, Novosibirsk, Russia
| | - Nikolay S Yudin
- The Federal Research Center Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences (ICG SB RAS), Novosibirsk, Russia
- Kurchatov Genomics Center, Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Science, Novosibirsk, Russia
| | | | - Nadezhda V Vorobieva
- Department of the Diversity and Evolution of Genomes, Institute of Molecular and Cellular Biology SB RAS, Novosibirsk, Russia
| | - Mariya A Kusliy
- Department of the Diversity and Evolution of Genomes, Institute of Molecular and Cellular Biology SB RAS, Novosibirsk, Russia
| | - Sergei K Vasiliev
- Paleometal Archeology Department, Institute of Archaeology and Ethnography SB RAS, Novosibirsk, Russia
| | - Andrey N Rodionov
- L.K. Ernst Federal Research Centre for Animal Husbandry, Podolsk, Russia
| | - Oksana I Boronetskaya
- Moscow Agrarian Academy, Timiryazev Russian State Agrarian University, Moscow, Russia
| | | | - Alexander S Graphodatsky
- Department of the Diversity and Evolution of Genomes, Institute of Molecular and Cellular Biology SB RAS, Novosibirsk, Russia
| | - Hans D Daetwyler
- Agriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, VIC, Australia
- School of Applied Systems Biology, La Trobe University, Bundoora, VIC, Australia
| | - Denis M Larkin
- Royal Veterinary College, University of London, London, United Kingdom
- The Federal Research Center Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences (ICG SB RAS), Novosibirsk, Russia
- Kurchatov Genomics Center, Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Science, Novosibirsk, Russia
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16
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Leal-Gutiérrez JD, Elzo MA, Carr C, Mateescu RG. RNA-seq analysis identifies cytoskeletal structural genes and pathways for meat quality in beef. PLoS One 2020; 15:e0240895. [PMID: 33175867 PMCID: PMC7657496 DOI: 10.1371/journal.pone.0240895] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Accepted: 10/05/2020] [Indexed: 01/03/2023] Open
Abstract
RNA sequencing (RNA-seq) has allowed for transcriptional profiling of biological systems through the identification of differentially expressed (DE) genes and pathways. A total of 80 steers with extreme phenotypes were selected from the University of Florida multibreed Angus-Brahman herd. The average slaughter age was 12.91±8.69 months. Tenderness, juiciness and connective tissue assessed by sensory panel, along with marbling, Warner-Bratzler Shear Force (WBSF) and cooking loss, were measured in longissimus dorsi muscle. Total RNA was extracted from muscle and one RNA-seq library per sample was constructed, multiplexed, and sequenced based on protocols by Illumina HiSeq-3000 platform to generate 2×101 bp paired-end reads. The overall read mapping rate using the Btau_4.6.1 reference genome was 63%. A total of 8,799 genes were analyzed using two different methodologies, an expression association and a DE analysis. A gene and exon expression association analysis was carried out using a meat quality index on all 80 samples as a continuous response variable. The expression of 208 genes and 3,280 exons from 1,565 genes was associated with the meat quality index (p-value ≤ 0.05). A gene and isoform DE evaluation was performed analyzing two groups with extreme WBSF, tenderness and marbling. A total of 676 (adjusted p-value≤0.05), 70 (adjusted p-value≤0.1) and 198 (adjusted p-value≤0.1) genes were DE for WBSF, tenderness and marbling, respectively. A total of 106 isoforms from 98 genes for WBSF, 13 isoforms from 13 genes for tenderness and 43 isoforms from 42 genes for marbling (FDR≤0.1) were DE. Cytoskeletal and transmembrane anchoring genes and pathways were identified in the expression association, DE and the gene enrichment analyses; these proteins can have a direct effect on meat quality. Cytoskeletal proteins and transmembrane anchoring molecules can influence meat quality by allowing cytoskeletal interaction with myocyte and organelle membranes, contributing to cytoskeletal structure and architecture maintenance postmortem.
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Affiliation(s)
- Joel D. Leal-Gutiérrez
- Department of Animal Sciences, University of Florida, Gainesville, Florida, United States of America
| | - Mauricio A. Elzo
- Department of Animal Sciences, University of Florida, Gainesville, Florida, United States of America
| | - Chad Carr
- Department of Animal Sciences, University of Florida, Gainesville, Florida, United States of America
| | - Raluca G. Mateescu
- Department of Animal Sciences, University of Florida, Gainesville, Florida, United States of America
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17
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Yang L, Niu Q, Zhang T, Zhao G, Zhu B, Chen Y, Zhang L, Gao X, Gao H, Liu GE, Li J, Xu L. Genomic sequencing analysis reveals copy number variations and their associations with economically important traits in beef cattle. Genomics 2020; 113:812-820. [PMID: 33080318 DOI: 10.1016/j.ygeno.2020.10.012] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2020] [Revised: 09/21/2020] [Accepted: 10/05/2020] [Indexed: 11/25/2022]
Abstract
Copy number variation (CNV) represents a major source of genetic variation, which may have potentially large effects, including alternating gene regulation and dosage, as well as contributing to gene expression and risk for normal phenotypic variability. We carried out a comprehensive analysis of CNV based on whole genome sequencing in Chinese Simmental beef cattle. Totally, we found 9313 deletion and 234 duplication events, covering 147.5 Mb autosomal regions. Within them, 257 deletion events of high frequency overlapped with 193 known RefGenes. Among these genes, we observed several genes were related to economically important traits, like residual feed intake, immune responding, pregnancy rate and muscle differentiation. Using a locus-based analysis, we identified 11 deletions and 1 duplication, which were significantly associated with three traits including carcass weight, tenderloin and longissimus muscle area. Our sequencing-based study provided important insights into investigating the association of CNVs with important traits in beef cattle.
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Affiliation(s)
- Liu Yang
- Key Laboratory of Animal Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Qunhao Niu
- Key Laboratory of Animal Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Tianliu Zhang
- Key Laboratory of Animal Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Guoyao Zhao
- Key Laboratory of Animal Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Bo Zhu
- Key Laboratory of Animal Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Yan Chen
- Key Laboratory of Animal Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Lupei Zhang
- Key Laboratory of Animal Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
| | - Xue Gao
- Key Laboratory of Animal Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Huijiang Gao
- Key Laboratory of Animal Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
| | - George E Liu
- Animal Genomics and Improvement Laboratory, United States Department of Agriculture-Agricultural Research Service, Beltsville, MD 20705, USA.
| | - Junya Li
- Key Laboratory of Animal Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
| | - Lingyang Xu
- Key Laboratory of Animal Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
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18
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The mosaic genome of indigenous African cattle as a unique genetic resource for African pastoralism. Nat Genet 2020; 52:1099-1110. [PMID: 32989325 DOI: 10.1038/s41588-020-0694-2] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2019] [Accepted: 08/18/2020] [Indexed: 02/07/2023]
Abstract
Cattle pastoralism plays a central role in human livelihood in Africa. However, the genetic history of its success remains unknown. Here, through whole-genome sequence analysis of 172 indigenous African cattle from 16 breeds representative of the main cattle groups, we identify a major taurine × indicine cattle admixture event dated to circa 750-1,050 yr ago, which has shaped the genome of today's cattle in the Horn of Africa. We identify 16 loci linked to African environmental adaptations across crossbred animals showing an excess of taurine or indicine ancestry. These include immune-, heat-tolerance- and reproduction-related genes. Moreover, we identify one highly divergent locus in African taurine cattle, which is putatively linked to trypanotolerance and present in crossbred cattle living in trypanosomosis-infested areas. Our findings indicate that a combination of past taurine and recent indicine admixture-derived genetic resources is at the root of the present success of African pastoralism.
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Devani K, Plastow G, Orsel K, Valente TS. Genome-wide association study for mammary structure in Canadian Angus cows. PLoS One 2020; 15:e0237818. [PMID: 32853245 PMCID: PMC7451565 DOI: 10.1371/journal.pone.0237818] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2020] [Accepted: 08/03/2020] [Indexed: 12/28/2022] Open
Abstract
Functional and enduring mammary structure is pivotal for producer profitability, and animal health and welfare in beef production. Genetic evaluations for teat and udder score in Canadian Angus cattle have previously been developed. The aim of this study was to identify genomic regions associated with teat and udder structure in Canadian Angus cows thereby enhancing knowledge of the biological architecture of these traits. Thus, we performed a weighted single-step genome wide association study (WssGWAS) to identify candidate genes for teat and udder score in 1,582 Canadian Angus cows typed with the GeneSeek® Genomic Profiler Bovine 130K SNP array. Genomically enhanced estimated breeding values (GEBVs) were converted to SNP marker effects using unequal variances for markers to calculate weights for each SNP over three iterations. At the genome wide level, we detected windows of 20 consecutive SNPs that explained more than 0.5% of the variance observed in these traits. A total of 35 and 28 windows were identified for teat and udder score, respectively, with two SNP windows in common for both traits. Using Ensembl, the SNP windows were used to search for candidate genes and quantitative trait loci (QTL). A total of 94 and 71 characterized genes were identified in the regions for teat and udder score, respectively. Of these, 7 genes were common for both traits. Gene network and enrichment analysis, using Ingenuity Pathway Analysis (IPA), signified key pathways unique to each trait. Genes of interest were associated with immune response and wound healing, adipose tissue development and morphology, and epithelial and vascular development and morphology. Genetic architecture from this GWAS confirms that teat and udder score are distinct, polygenic traits involving varying and complex biological pathways, and that genetic selection for improved teat and udder score is possible.
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Affiliation(s)
- Kajal Devani
- Department of Production Animal Health, Faculty of Veterinary Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Graham Plastow
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada
| | - Karin Orsel
- Department of Production Animal Health, Faculty of Veterinary Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Tiago S. Valente
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada
- * E-mail:
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20
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Bordbar F, Jensen J, Du M, Abied A, Guo W, Xu L, Gao H, Zhang L, Li J. Identification and validation of a novel candidate gene regulating net meat weight in Simmental beef cattle based on imputed next-generation sequencing. Cell Prolif 2020; 53:e12870. [PMID: 32722873 PMCID: PMC7507581 DOI: 10.1111/cpr.12870] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Revised: 06/12/2020] [Accepted: 06/13/2020] [Indexed: 12/19/2022] Open
Abstract
Objectives Genome‐wide association studies (GWAS) represent a powerful approach to detecting candidate genes for economically important traits in livestock. Our aim was to identify promising candidate muscle development genes that affect net meat weight (NMW) and validate these candidate genes in cattle. Materials and methods Using a next‐generation sequencing (NGS) dataset, we applied ~ 12 million imputed single nucleotide polymorphisms (SNPs) from 1,252 Simmental cattle to detect genes influencing net meat yield by way of a linear mixed model method. Haplotype and linkage disequilibrium (LD) blocks were employed to augment support for identified genes. To investigate the role of MTPN in bovine muscle development, we isolated myoblasts from the longissimus dorsi of a bovine foetus and treated the cells during proliferation, differentiation and hypertrophy. Results We identified one SNP (rs100670823) that exceeded our stringent significance threshold (P = 8.58 × 10−8) for a putative NMW‐related quantitative trait locus (QTL). We identified a promising candidate gene, myotrophin (MTPN), in the region around this SNP Myotrophin had a stimulatory effect on six muscle‐related markers that regulate differentiation and myoblast fusion. During hypertrophy, myotrophin promoted myotube hypertrophy and increased myotube diameters. Cell viability assay and flow cytometry showed that myotrophin inhibited myoblast proliferation. Conclusions The present experiments showed that myotrophin increases differentiation and hypertrophy of skeletal muscle cells, while inhibiting their proliferation. Our examination of GWAS results with in vitro biological studies provides new information regarding the potential application of myotrophin to increase meat yields in cattle and helpful information for further studies.
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Affiliation(s)
- Farhad Bordbar
- Key Laboratory of Animal Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Just Jensen
- Center for Quantitative Genetics and Genomics, Aarhus University, Aarhus, Denmark
| | - Min Du
- Department of Animal Sciences, Washington Center for Muscle Biology, Washington State University, Pullman, WA, USA
| | - Adam Abied
- Animal Genetic Breeding and Reproduction, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Wei Guo
- Meat Science and Muscle Biology, Animal and Diary Science, University of Wisconsin-Madison, Madison, USA
| | - Lingyang Xu
- Key Laboratory of Animal Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Huijiang Gao
- Key Laboratory of Animal Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Lupei Zhang
- Key Laboratory of Animal Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Junya Li
- Key Laboratory of Animal Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
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21
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Chen N, Fu W, Zhao J, Shen J, Chen Q, Zheng Z, Chen H, Sonstegard TS, Lei C, Jiang Y. BGVD: An Integrated Database for Bovine Sequencing Variations and Selective Signatures. GENOMICS, PROTEOMICS & BIOINFORMATICS 2020; 18:186-193. [PMID: 32540200 PMCID: PMC7646086 DOI: 10.1016/j.gpb.2019.03.007] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/30/2018] [Revised: 11/16/2018] [Accepted: 03/29/2019] [Indexed: 11/30/2022]
Abstract
Next-generation sequencing has yielded a vast amount of cattle genomic data for global characterization of population genetic diversity and identification of genomic regions under natural and artificial selection. However, efficient storage, querying, and visualization of such large datasets remain challenging. Here, we developed a comprehensive database, the Bovine Genome Variation Database (BGVD). It provides six main functionalities: gene search, variation search, genomic signature search, Genome Browser, alignment search tools, and the genome coordinate conversion tool. BGVD contains information on genomic variations comprising ~60.44 M SNPs, ~6.86 M indels, 76,634 CNV regions, and signatures of selective sweeps in 432 samples from modern cattle worldwide. Users can quickly retrieve distribution patterns of these variations for 54 cattle breeds through an interactive source of breed origin map, using a given gene symbol or genomic region for any of the three versions of the bovine reference genomes (ARS-UCD1.2, UMD3.1.1, and Btau 5.0.1). Signals of selection sweep are displayed as Manhattan plots and Genome Browser tracks. To further investigate and visualize the relationships between variants and signatures of selection, the Genome Browser integrates all variations, selection data, and resources, from NCBI, the UCSC Genome Browser, and Animal QTLdb. Collectively, all these features make the BGVD a useful archive for in-depth data mining and analyses of cattle biology and cattle breeding on a global scale. BGVD is publicly available at http://animal.nwsuaf.edu.cn/BosVar.
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Affiliation(s)
- Ningbo Chen
- Key Laboratory of Animal Genetics, Breeding and Reproduction Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Weiwei Fu
- Key Laboratory of Animal Genetics, Breeding and Reproduction Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Jianbang Zhao
- College of Information Engineering, Northwest A&F University, Yangling 712100, China
| | - Jiafei Shen
- Key Laboratory of Animal Genetics, Breeding and Reproduction Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Qiuming Chen
- Key Laboratory of Animal Genetics, Breeding and Reproduction Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Zhuqing Zheng
- Key Laboratory of Animal Genetics, Breeding and Reproduction 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 Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | | | - Chuzhao Lei
- Key Laboratory of Animal Genetics, Breeding and Reproduction Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Yu Jiang
- Key Laboratory of Animal Genetics, Breeding and Reproduction Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China.
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22
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Kommadath A, Grant JR, Krivushin K, Butty AM, Baes CF, Carthy TR, Berry DP, Stothard P. A large interactive visual database of copy number variants discovered in taurine cattle. Gigascience 2020; 8:5523204. [PMID: 31241156 PMCID: PMC6593363 DOI: 10.1093/gigascience/giz073] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2018] [Revised: 02/27/2019] [Accepted: 05/28/2019] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Copy number variants (CNVs) contribute to genetic diversity and phenotypic variation. We aimed to discover CNVs in taurine cattle using a large collection of whole-genome sequences and to provide an interactive database of the identified CNV regions (CNVRs) that includes visualizations of sequence read alignments, CNV boundaries, and genome annotations. RESULTS CNVs were identified in each of 4 whole-genome sequencing datasets, which together represent >500 bulls from 17 breeds, using a popular multi-sample read-depth-based algorithm, cn.MOPS. Quality control and CNVR construction, performed dataset-wise to avoid batch effects, resulted in 26,223 CNVRs covering 107.75 unique Mb (4.05%) of the bovine genome. Hierarchical clustering of samples by CNVR genotypes indicated clear separation by breeds. An interactive HTML database was created that allows data filtering options, provides graphical and tabular data summaries including Hardy-Weinberg equilibrium tests on genotype proportions, and displays genes and quantitative trait loci at each CNVR. Notably, the database provides sequence read alignments at each CNVR genotype and the boundaries of constituent CNVs in individual samples. Besides numerous novel discoveries, we corroborated the genotypes reported for a CNVR at the KIT locus known to be associated with the piebald coat colour phenotype in Hereford and some Simmental cattle. CONCLUSIONS We present a large comprehensive collection of taurine cattle CNVs in a novel interactive visual database that displays CNV boundaries, read depths, and genome features for individual CNVRs, thus providing users with a powerful means to explore and scrutinize CNVRs of interest more thoroughly.
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Affiliation(s)
- Arun Kommadath
- Department of Agricultural, Food and Nutritional Science (AFNS), University of Alberta, Edmonton, AB, Canada.,Lacombe Research and Development Centre, Agriculture and Agri-Food Canada, Lacombe, Alberta, Canada
| | - Jason R Grant
- Department of Agricultural, Food and Nutritional Science (AFNS), University of Alberta, Edmonton, AB, Canada
| | - Kirill Krivushin
- Department of Agricultural, Food and Nutritional Science (AFNS), University of Alberta, Edmonton, AB, Canada
| | - Adrien M Butty
- Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON, Canada
| | - Christine F Baes
- Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON, Canada.,Institute of Genetics, Vetsuisse Faculty, University of Bern, Bern, Switzerland
| | - Tara R Carthy
- Teagasc, Animal & Grassland Research and Innovation Centre, Moorepark, Fermoy, Ireland
| | - Donagh P Berry
- Teagasc, Animal & Grassland Research and Innovation Centre, Moorepark, Fermoy, Ireland
| | - Paul Stothard
- Department of Agricultural, Food and Nutritional Science (AFNS), University of Alberta, Edmonton, AB, Canada
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23
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Bordbar F, Jensen J, Zhu B, Wang Z, Xu L, Chang T, Xu L, Du M, Zhang L, Gao H, Xu L, Li J. Identification of muscle-specific candidate genes in Simmental beef cattle using imputed next generation sequencing. PLoS One 2019; 14:e0223671. [PMID: 31600309 PMCID: PMC6786524 DOI: 10.1371/journal.pone.0223671] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2019] [Accepted: 09/25/2019] [Indexed: 01/01/2023] Open
Abstract
Genome-wide association studies (GWAS) have commonly been used to identify candidate genes that control economically important traits in livestock. Our objective was to detect potential candidate genes associated mainly with muscle development traits related to dimension of hindquarter in cattle. A next generation sequencing (NGS) dataset to imputed to 12 million single nucleotide polymorphisms (SNPs) (from 1252 Simmental beef cattle) were used to search for genes affecting hindquarter traits using a linear, mixed model approach. We also used haplotype and linkage disequilibrium blocks to further support our identifications. We identified 202 significant SNPs in the bovine BTA4 chromosome region associated with width of hind leg, based on a stringent statistical threshold (p = 0.05/ effective number of SNPs identified). After exploring the region around these SNPs, we found candidate genes that were potentially related to the associated markers. More importantly, we identified a region of approximately 280 Kb on the BTA4 chromosome that harbored several muscle specific candidate genes, genes to be in a potential region for muscle development. However, we also found candidate gene SLC13A1 on BTA4, which seems to be associated with bone disorders (such as chondrodysplasia) in Simmental beef cattle.
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Affiliation(s)
- Farhad Bordbar
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Just Jensen
- Department of Molecular Biology and Genetics, Aarhus University, Aarhus, Denmark
| | - Bo Zhu
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Zezhao Wang
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Lei Xu
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Tianpeng Chang
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Ling Xu
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Min Du
- Department of Animal Sciences, Washington Center for Muscle Biology, Washington State University, Pullman, Washington, United States of America
| | - Lupei Zhang
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Huijiang Gao
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Lingyang Xu
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
- * E-mail: (JYL); (LYX)
| | - Junya Li
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
- * E-mail: (JYL); (LYX)
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24
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Mesbah-Uddin M, Guldbrandtsen B, Lund MS, Boichard D, Sahana G. Joint imputation of whole-genome sequence variants and large chromosomal deletions in cattle. J Dairy Sci 2019; 102:11193-11206. [PMID: 31606212 DOI: 10.3168/jds.2019-16946] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2019] [Accepted: 08/25/2019] [Indexed: 11/19/2022]
Abstract
Genotype imputation, often focused on SNP and small insertions and deletions (indels; size ≤50 bp), is a crucial step for association mapping and estimation of genomic breeding values. Here, we present strategies to impute genotypes for large chromosomal deletions (size >50 bp), along with SNP and indels in cattle. The pipelines include a strategy for extending the whole-genome sequence reference panel for large deletions, a 2-step genotype refinement approach using Beagle4 and SHAPEIT2 software, and finally, joint imputation of SNP, indels, and large deletions to the existing SNP array-typed population using Minimac3 software. Using these pipelines we achieved an imputation accuracy of the squared Pearson correlation (r2) > 0.6 at minor allele frequencies as low as 0.7% for SNP and indels, and 0.2% for large deletions. This highlights the potential of our approach to build a haplotype reference panel and impute different classes of sequence variants across a wide allele frequency spectrum with high accuracy.
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Affiliation(s)
- Md Mesbah-Uddin
- Department of Molecular Biology and Genetics, Center for Quantitative Genetics and Genomics, Aarhus University, 8830 Tjele, Denmark; GABI, INRA, AgroParisTech, Université Paris-Saclay, 78350 Jouy-en-Josas, France.
| | - Bernt Guldbrandtsen
- Department of Molecular Biology and Genetics, Center for Quantitative Genetics and Genomics, Aarhus University, 8830 Tjele, Denmark
| | - Mogens Sandø Lund
- Department of Molecular Biology and Genetics, Center for Quantitative Genetics and Genomics, Aarhus University, 8830 Tjele, Denmark
| | - Didier Boichard
- GABI, INRA, AgroParisTech, Université Paris-Saclay, 78350 Jouy-en-Josas, France
| | - Goutam Sahana
- Department of Molecular Biology and Genetics, Center for Quantitative Genetics and Genomics, Aarhus University, 8830 Tjele, Denmark.
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25
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Park J, Shin W, Mun S, Oh MH, Lim D, Oh DY, Bhak Y, Bhak J, Park YS, Han K. Investigation of Hanwoo-specific structural variations using whole-genome sequencing data. Genes Genomics 2018; 41:233-240. [DOI: 10.1007/s13258-018-0772-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2018] [Accepted: 11/26/2018] [Indexed: 01/07/2023]
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26
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Liu D, Chen Z, Zhang Z, Sun H, Ma P, Zhu K, Liu G, Wang Q, Pan Y. Detection of genome-wide structural variations in the Shanghai Holstein cattle population using next-generation sequencing. ASIAN-AUSTRALASIAN JOURNAL OF ANIMAL SCIENCES 2018; 32:320-333. [PMID: 30056674 PMCID: PMC6409473 DOI: 10.5713/ajas.18.0204] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/14/2018] [Accepted: 06/22/2018] [Indexed: 12/30/2022]
Abstract
Objective The Shanghai Holstein cattle breed is susceptible to severe mastitis and other diseases due to the hot weather and long-term humidity in Shanghai, which is the main distribution centre for providing Holstein semen to various farms throughout China. Our objective was to determine the genetic mechanisms influencing economically important traits, especially diseases that have huge impact on the yield and quality of milk as well as reproduction. Methods In our study, we detected the structural variations of 1,092 Shanghai Holstein cows by using next-generation sequencing. We used the DELLY software to identify deletions and insertions, cn.MOPS to identify copy-number variants (CNVs). Furthermore, we annotated these structural variations using different bioinformatics tools, such as gene ontology, cattle quantitative trait locus (QTL) database and ingenuity pathway analysis (IPA). Results The average number of high-quality reads was 3,046,279. After filtering, a total of 16,831 deletions, 12,735 insertions and 490 CNVs were identified. The annotation results showed that these mapped genes were significantly enriched for specific biological functions, such as disease and reproduction. In addition, the enrichment results based on the cattle QTL database showed that the number of variants related to milk and reproduction was higher than the number of variants related to other traits. IPA core analysis found that the structural variations were related to reproduction, lipid metabolism, and inflammation. According to the functional analysis, structural variations were important factors affecting the variation of different traits in Shanghai Holstein cattle. Our results provide meaningful information about structural variations, which may be useful in future assessments of the associations between variations and important phenotypes in Shanghai Holstein cattle. Conclusion Structural variations identified in this study were extremely different from those of previous studies. Many structural variations were found to be associated with mastitis and reproductive system diseases; these results are in accordance with the characteristics of the environment that Shanghai Holstein cattle experience.
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Affiliation(s)
- Dengying Liu
- Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China.,Shanghai Key Laboratory of Veterinary Biotechnology, Shanghai 200240, China
| | - Zhenliang Chen
- Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China.,Shanghai Key Laboratory of Veterinary Biotechnology, Shanghai 200240, China
| | - Zhe Zhang
- Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China.,Shanghai Key Laboratory of Veterinary Biotechnology, Shanghai 200240, China
| | - Hao Sun
- Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China.,Shanghai Key Laboratory of Veterinary Biotechnology, Shanghai 200240, China
| | - Peipei Ma
- Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China.,Shanghai Key Laboratory of Veterinary Biotechnology, Shanghai 200240, China
| | - Kai Zhu
- Shanghai Dairy Cattle Breeding Centre Co., Ltd, Shanghai 201901, China
| | - Guanglei Liu
- Shanghai Dairy Cattle Breeding Centre Co., Ltd, Shanghai 201901, China
| | - Qishan Wang
- Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China.,Shanghai Key Laboratory of Veterinary Biotechnology, Shanghai 200240, China
| | - Yuchun Pan
- Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China.,Shanghai Key Laboratory of Veterinary Biotechnology, Shanghai 200240, China
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27
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Mielczarek M, Frąszczak M, Nicolazzi E, Williams JL, Szyda J. Landscape of copy number variations in Bos taurus: individual - and inter-breed variability. BMC Genomics 2018; 19:410. [PMID: 29843606 PMCID: PMC5975385 DOI: 10.1186/s12864-018-4815-6] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2018] [Accepted: 05/22/2018] [Indexed: 11/24/2022] Open
Abstract
Background The number of studies of Copy Number Variation in cattle has increased in recent years. This has been prompted by the increased availability of data on polymorphisms and their relationship with phenotypes. In addition, livestock species are good models for some human phenotypes. In the present study, we described the landscape of CNV driven genetic variation in a large population of 146 individuals representing 13 cattle breeds, using whole genome DNA sequence. Results A highly significant variation among all individuals and within each breed was observed in the number of duplications (P < 10−15) and in the number of deletions (P < 10−15). We also observed significant differences between breeds for duplication (P = 0.01932) and deletion (P = 0.01006) counts. The same variation CNV length - inter-individual and inter-breed differences were significant for duplications (P < 10−15) and deletions (P < 10−15). Moreover, breed-specific variants were identified, with the largest proportion of breed-specific duplications (9.57%) found for Fleckvieh and breed-specific deletions found for Brown Swiss (5.00%). Such breed-specific CNVs were predominantly located in intragenic regions, however in Simmental, one deletion present in five individuals was found in the coding sequence of a novel gene ENSBTAG00000000688 on chromosome 18. In Brown Swiss, Norwegian Red and Simmental breed-specific deletions were located within KIT and MC1R genes, which are responsible for a coat colour. The functional annotation of coding regions underlying the breed-specific CNVs showed that in Norwegian Red, Guernsey, and Simmental significantly under- and overrepresented GO terms were related to chemical stimulus involved in sensory perception of smell and the KEGG pathways for olfactory transduction. In addition, specifically for the Norwegian Red breed, the dopaminergic synapse KEGG pathway was significantly enriched within deleted parts of the genome. Conclusions The CNV landscape in Bos taurus genome revealed by this study was highly complex, with inter-breed differences, but also a significant variation within breeds. The former, may explain some of the phenotypic differences among analysed breeds, and the latter contributes to within-breed variation available for selection. Electronic supplementary material The online version of this article (10.1186/s12864-018-4815-6) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- M Mielczarek
- Biostatistics group, Department of Genetics, Wroclaw University of Environmental and Life Sciences, Kozuchowska 7, 51-631, Wroclaw, Poland. .,National Research Institute of Animal Production, Krakowska 1, 32-083, Balice, Poland.
| | - M Frąszczak
- Biostatistics group, Department of Genetics, Wroclaw University of Environmental and Life Sciences, Kozuchowska 7, 51-631, Wroclaw, Poland
| | - E Nicolazzi
- Council on Dairy Cattle Breeding (CDCB), 4201 Northview Dr, Bowie, MD, 20716, USA
| | - J L Williams
- Davies Research Centre, University of Adelaide, School of Animal and Veterinary Sciences, Roseworthy, SA, 5371, Australia
| | - J Szyda
- Biostatistics group, Department of Genetics, Wroclaw University of Environmental and Life Sciences, Kozuchowska 7, 51-631, Wroclaw, Poland.,National Research Institute of Animal Production, Krakowska 1, 32-083, Balice, Poland
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Gaunitz C, Fages A, Hanghøj K, Albrechtsen A, Khan N, Schubert M, Seguin-Orlando A, Owens IJ, Felkel S, Bignon-Lau O, de Barros Damgaard P, Mittnik A, Mohaseb AF, Davoudi H, Alquraishi S, Alfarhan AH, Al-Rasheid KAS, Crubézy E, Benecke N, Olsen S, Brown D, Anthony D, Massy K, Pitulko V, Kasparov A, Brem G, Hofreiter M, Mukhtarova G, Baimukhanov N, Lõugas L, Onar V, Stockhammer PW, Krause J, Boldgiv B, Undrakhbold S, Erdenebaatar D, Lepetz S, Mashkour M, Ludwig A, Wallner B, Merz V, Merz I, Zaibert V, Willerslev E, Librado P, Outram AK, Orlando L. Ancient genomes revisit the ancestry of domestic and Przewalski’s horses. Science 2018; 360:111-114. [DOI: 10.1126/science.aao3297] [Citation(s) in RCA: 176] [Impact Index Per Article: 29.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2017] [Accepted: 01/31/2018] [Indexed: 12/28/2022]
Abstract
The Eneolithic Botai culture of the Central Asian steppes provides the earliest archaeological evidence for horse husbandry, ~5500 years ago, but the exact nature of early horse domestication remains controversial. We generated 42 ancient-horse genomes, including 20 from Botai. Compared to 46 published ancient- and modern-horse genomes, our data indicate that Przewalski’s horses are the feral descendants of horses herded at Botai and not truly wild horses. All domestic horses dated from ~4000 years ago to present only show ~2.7% of Botai-related ancestry. This indicates that a massive genomic turnover underpins the expansion of the horse stock that gave rise to modern domesticates, which coincides with large-scale human population expansions during the Early Bronze Age.
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Xu L, Haasl RJ, Sun J, Zhou Y, Bickhart DM, Li J, Song J, Sonstegard TS, Van Tassell CP, Lewin HA, Liu GE. Systematic Profiling of Short Tandem Repeats in the Cattle Genome. Genome Biol Evol 2018; 9:20-31. [PMID: 28172841 PMCID: PMC5381564 DOI: 10.1093/gbe/evw256] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/21/2016] [Indexed: 12/13/2022] Open
Abstract
Short tandem repeats (STRs), or microsatellites, are genetic variants with repetitive 2–6 base pair motifs in many mammalian genomes. Using high-throughput sequencing and experimental validations, we systematically profiled STRs in five Holsteins. We identified a total of 60,106 microsatellites and generated the first high-resolution STR map, representing a substantial pool of polymorphism in dairy cattle. We observed significant STRs overlap with functional genes and quantitative trait loci (QTL). We performed evolutionary and population genetic analyses using over 20,000 common dinucleotide STRs. Besides corroborating the well-established positive correlation between allele size and variance in allele size, these analyses also identified dozens of outlier STRs based on two anomalous relationships that counter expected characteristics of neutral evolution. And one STR locus overlaps with a significant region of a summary statistic designed to detect STR-related selection. Additionally, our results showed that only 57.1% of STRs located within SNP-based linkage disequilibrium (LD) blocks whereas the other 42.9% were out of blocks. Therefore, a substantial number of STRs are not tagged by SNPs in the cattle genome, likely due to STR's distinct mutation mechanism and elevated polymorphism. This study provides the foundation for future STR-based studies of cattle genome evolution and selection.
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Affiliation(s)
- Lingyang Xu
- Animal Genomics and Improvement Laboratory, Agricultural Research Service, Beltsville, MD.,Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.,Department of Animal and Avian Sciences, University of Maryland, College Park, MD
| | - Ryan J Haasl
- Department of Biology, University of Wisconsin - Platteville, WI
| | - Jiajie Sun
- College of Animal Science, South China Agricultural University, Guangzhou, China
| | - Yang Zhou
- Animal Genomics and Improvement Laboratory, Agricultural Research Service, Beltsville, MD.,College of Animal Science and Technology, Northwest A&F University, Shaanxi Key Laboratory of Molecular Biology for Agriculture, Yangling, Shannxi, China
| | - Derek M Bickhart
- Animal Genomics and Improvement Laboratory, Agricultural Research Service, Beltsville, MD
| | - Junya Li
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Jiuzhou Song
- Department of Animal and Avian Sciences, University of Maryland, College Park, MD
| | - Tad S Sonstegard
- Animal Genomics and Improvement Laboratory, Agricultural Research Service, Beltsville, MD
| | - Curtis P Van Tassell
- Animal Genomics and Improvement Laboratory, Agricultural Research Service, Beltsville, MD
| | - Harris A Lewin
- Department of Evolution and Ecology, University of California, Davis, CA
| | - George E Liu
- Animal Genomics and Improvement Laboratory, Agricultural Research Service, Beltsville, MD
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Karimi K, Esmailizadeh A, Wu DD, Gondro C. Mapping of genome-wide copy number variations in the Iranian indigenous cattle using a dense SNP data set. ANIMAL PRODUCTION SCIENCE 2018. [DOI: 10.1071/an16384] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
The objective of this study was to present the first map of the copy number variations (CNVs) in Iranian indigenous cattle based on a high-density single nucleotide polymorphism (SNP) dataset. A total of 90 individuals were genotyped using the Illumina BovineHD BeadChip containing 777 962 SNPs. The QuantiSNP algorithm was used to perform a genome-wide CNV detection across autosomal genome. After merging the overlapping CNV, a total of 221 CNV regions were identified encompassing 36.4 Mb or 1.44% of the bovine autosomal genome. The length of the CNV regions ranged from 3.5 to 2252.8 Kb with an average of 163.8 Kb. These regions included 147 loss (66.52%) and 74 gain (33.48%) events containing a total of 637 annotated Ensembl genes. Gene ontology analysis revealed that most of genes in the CNV regions were involved in environmental responses, disease susceptibility and immune system functions. Furthermore, 543 of these genes corresponded to the human orthologous genes, which involved in a wide range of biological functions. Altogether, 73% of the 221 CNV regions overlapped either completely or partially with those previously reported in other cattle studies. Moreover, novel CNV regions involved several quantitative trait loci (QTL)-related to adaptative traits of Iranian indigenous cattle. These results provided a basis to conduct future studies on association between CNV regions and phenotypic variations in the Iranian indigenous cattle.
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Mielczarek M, Frąszczak M, Giannico R, Minozzi G, Williams JL, Wojdak-Maksymiec K, Szyda J. Analysis of copy number variations in Holstein-Friesian cow genomes based on whole-genome sequence data. J Dairy Sci 2017; 100:5515-5525. [DOI: 10.3168/jds.2016-11987] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2016] [Accepted: 03/25/2017] [Indexed: 01/02/2023]
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Pelkmans JF, Patil MB, Gehrmann T, Reinders MJT, Wösten HAB, Lugones LG. Transcription factors of Schizophyllum commune involved in mushroom formation and modulation of vegetative growth. Sci Rep 2017; 7:310. [PMID: 28331193 PMCID: PMC5428507 DOI: 10.1038/s41598-017-00483-3] [Citation(s) in RCA: 43] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2016] [Accepted: 02/23/2017] [Indexed: 11/23/2022] Open
Abstract
Mushrooms are the most conspicuous fungal structures. Transcription factors (TFs) Bri1 and Hom1 of the model fungus Schizophyllum commune are involved in late stages of mushroom development, while Wc-2, Hom2, and Fst4 function early in development. Here, it is shown that Bri1 and Hom1 also stimulate vegetative growth, while biomass formation is repressed by Wc-2, Hom2, and Fst4. The Δbri1Δbri1 and the Δhom1Δhom1 strains formed up to 0.6 fold less biomass when compared to wild-type, while Δwc-2Δwc-2, Δhom2Δhom2, and Δfst4Δfst4 strains formed up to 2.8 fold more biomass. Inactivation of TF gene tea1, which was downregulated in the Δwc-2Δwc-2, Δhom2Δhom2, and Δfst4Δfst4 strains, resulted in a strain that was severely affected in mushroom development and that produced 1.3 fold more biomass than the wild-type. In contrast, introducing a constitutive active version of hom2 that had 4 predicted phosphorylation motifs eliminated resulted in radial growth inhibition and prompt fructification in both Δhom2 and wild-type strains, even in sterile monokaryons. Together, it is concluded that TFs involved in mushroom formation also modulate vegetative growth. Among these TFs is the homeodomain protein Hom2, being the first time that this class of regulatory proteins is implicated in repression of vegetative growth in a eukaryote.
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Affiliation(s)
- Jordi F Pelkmans
- Microbiology, Department of Biology, Utrecht University, Padualaan 8, 3584, CH, Utrecht, The Netherlands
| | - Mohini B Patil
- Microbiology, Department of Biology, Utrecht University, Padualaan 8, 3584, CH, Utrecht, The Netherlands
| | - Thies Gehrmann
- Delft Bioinformatics Lab, Delft University of Technology, Mekelweg 4, 2628, CD, Delft, The Netherlands
| | - Marcel J T Reinders
- Delft Bioinformatics Lab, Delft University of Technology, Mekelweg 4, 2628, CD, Delft, The Netherlands
| | - Han A B Wösten
- Microbiology, Department of Biology, Utrecht University, Padualaan 8, 3584, CH, Utrecht, The Netherlands.
| | - Luis G Lugones
- Microbiology, Department of Biology, Utrecht University, Padualaan 8, 3584, CH, Utrecht, The Netherlands.
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Casas E, Kehrli ME. A Review of Selected Genes with Known Effects on Performance and Health of Cattle. Front Vet Sci 2016; 3:113. [PMID: 28018909 PMCID: PMC5156656 DOI: 10.3389/fvets.2016.00113] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2016] [Accepted: 11/28/2016] [Indexed: 11/21/2022] Open
Abstract
There are genetic conditions that influence production in dairy and beef cattle. The objective of this review was to describe relevant genetic conditions that have been associated with productivity and health in cattle. Genes or genomic regions that have been identified as a candidate for the condition will be included, and the genetic basis of the condition will be defined. Genes and genetic conditions included in this review are bovine leukocyte adhesion deficiency, deficiency of the uridine monophosphate synthase, bovine chronic interstitial nephritis, horn development, myostatin, complex vertebral malformation, leptin, osteopetrosis, apoptosis peptide activating factor 1, chondrodysplastic dwarfism, caseins, calpastatin, umbilical hernia, lactoglobulin, citrullinemia, cholesterol deficiency, prions, thyroglobulin, diacylglycerol acyltransferase, syndactyly, maple syrup urine disease, slick hair, Factor XI deficiency, and μ-Calpain. This review is not meant to be comprehensive, and relevant information is provided to ascertain genetic markers associated with the conditions.
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Affiliation(s)
- Eduardo Casas
- National Animal Disease Center, USDA, ARS, Ames, IA, USA
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Copy number variation of bovine MAPK10 modulates the transcriptional activity and affects growth traits. Livest Sci 2016. [DOI: 10.1016/j.livsci.2016.09.014] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
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Lal SV, Mukherjee A, Brahma B, Gohain M, Patra MC, Saini SK, Mishra P, Ahlawat S, Upadhyaya RC, Datta TK, De S. Comparison of Copy Number of HSF Genes in Two Buffalo Genomes. Anim Biotechnol 2016; 27:141-7. [DOI: 10.1080/10495398.2015.1135807] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Affiliation(s)
- Shardul Vikram Lal
- Krishi Vigyan Kendra, ICAR-CIARI, Nimbudera, Andaman and Nicobar Islands
| | - Ayan Mukherjee
- Animal Genomics Lab, Animal Biotechnology Center, National Dairy Research Institute, Karnal, Haryana, India
| | - Biswajit Brahma
- Animal Genomics Lab, Animal Biotechnology Center, National Dairy Research Institute, Karnal, Haryana, India
| | - Moloya Gohain
- Animal Genomics Lab, Animal Biotechnology Center, National Dairy Research Institute, Karnal, Haryana, India
| | - Mahesh Chandra Patra
- Animal Genomics Lab, Animal Biotechnology Center, National Dairy Research Institute, Karnal, Haryana, India
| | - Sushil Kumar Saini
- Animal Genomics Lab, Animal Biotechnology Center, National Dairy Research Institute, Karnal, Haryana, India
| | - Purushottam Mishra
- Animal Genomics Lab, Animal Biotechnology Center, National Dairy Research Institute, Karnal, Haryana, India
| | - Sonika Ahlawat
- Animal Genomics Lab, Animal Biotechnology Center, National Dairy Research Institute, Karnal, Haryana, India
| | - Ramesh C. Upadhyaya
- Animal Genomics Lab, Animal Biotechnology Center, National Dairy Research Institute, Karnal, Haryana, India
| | - Tirtha K. Datta
- Animal Genomics Lab, Animal Biotechnology Center, National Dairy Research Institute, Karnal, Haryana, India
| | - Sachinandan De
- Animal Genomics Lab, Animal Biotechnology Center, National Dairy Research Institute, Karnal, Haryana, India
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Wang MD, Dzama K, Rees DJG, Muchadeyi FC. Tropically adapted cattle of Africa: perspectives on potential role of copy number variations. Anim Genet 2015; 47:154-64. [DOI: 10.1111/age.12391] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/01/2015] [Indexed: 12/12/2022]
Affiliation(s)
- M. D. Wang
- Department of Animal Sciences; University of Stellenbosch; Private Bag X1 Matieland 7602 South Africa
- Biotechnology Platform; Agricultural Research Council; Private Bag X5 Onderstepoort 0110 South Africa
| | - K. Dzama
- Department of Animal Sciences; University of Stellenbosch; Private Bag X1 Matieland 7602 South Africa
| | - D. J. G. Rees
- Biotechnology Platform; Agricultural Research Council; Private Bag X5 Onderstepoort 0110 South Africa
| | - F. C. Muchadeyi
- Biotechnology Platform; Agricultural Research Council; Private Bag X5 Onderstepoort 0110 South Africa
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37
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Macciotta N, Gaspa G, Bomba L, Vicario D, Dimauro C, Cellesi M, Ajmone-Marsan P. Genome-wide association analysis in Italian Simmental cows for lactation curve traits using a low-density (7K) SNP panel. J Dairy Sci 2015; 98:8175-85. [DOI: 10.3168/jds.2015-9500] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2015] [Accepted: 06/22/2015] [Indexed: 01/15/2023]
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38
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Boussaha M, Esquerré D, Barbieri J, Djari A, Pinton A, Letaief R, Salin G, Escudié F, Roulet A, Fritz S, Samson F, Grohs C, Bernard M, Klopp C, Boichard D, Rocha D. Genome-Wide Study of Structural Variants in Bovine Holstein, Montbéliarde and Normande Dairy Breeds. PLoS One 2015; 10:e0135931. [PMID: 26317361 PMCID: PMC4552564 DOI: 10.1371/journal.pone.0135931] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2015] [Accepted: 07/28/2015] [Indexed: 11/26/2022] Open
Abstract
High-throughput sequencing technologies have offered in recent years new opportunities to study genome variations. These studies have mostly focused on single nucleotide polymorphisms, small insertions or deletions and on copy number variants. Other structural variants, such as large insertions or deletions, tandem duplications, translocations, and inversions are less well-studied, despite that some have an important impact on phenotypes. In the present study, we performed a large-scale survey of structural variants in cattle. We report the identification of 6,426 putative structural variants in cattle extracted from whole-genome sequence data of 62 bulls representing the three major French dairy breeds. These genomic variants affect DNA segments greater than 50 base pairs and correspond to deletions, inversions and tandem duplications. Out of these, we identified a total of 547 deletions and 410 tandem duplications which could potentially code for CNVs. Experimental validation was carried out on 331 structural variants using a novel high-throughput genotyping method. Out of these, 255 structural variants (77%) generated good quality genotypes and 191 (75%) of them were validated. Gene content analyses in structural variant regions revealed 941 large deletions removing completely one or several genes, including 10 single-copy genes. In addition, some of the structural variants are located within quantitative trait loci for dairy traits. This study is a pan-genome assessment of genomic variations in cattle and may provide a new glimpse into the bovine genome architecture. Our results may also help to study the effects of structural variants on gene expression and consequently their effect on certain phenotypes of interest.
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Affiliation(s)
- Mekki Boussaha
- INRA, UMR1313, Génétique Animale et Biologie Intégrative, Domaine de Vilvert, Jouy-en-Josas, France
- AgroParisTech, UMR1313, Génétique Animale et Biologie Intégrative, Domaine de Vilvert, Jouy-en-Josas, France
- * E-mail:
| | - Diane Esquerré
- INRA, UMR1388 Génétique, Physiologie et Systèmes d’Elevage, Castanet-Tolosan, France
- Université de Toulouse INPT ENSAT, UMR1388 Génétique, Physiologie et Systèmes d’Elevage, Castanet-Tolosan, France
- Université de Toulouse INPT ENVT, UMR1388 Génétique, Physiologie et Systèmes d’Elevage, Toulouse, France
| | - Johanna Barbieri
- INRA, UMR1388 Génétique, Physiologie et Systèmes d’Elevage, Castanet-Tolosan, France
- Université de Toulouse INPT ENSAT, UMR1388 Génétique, Physiologie et Systèmes d’Elevage, Castanet-Tolosan, France
- Université de Toulouse INPT ENVT, UMR1388 Génétique, Physiologie et Systèmes d’Elevage, Toulouse, France
| | - Anis Djari
- INRA, SIGENAE, UR 875, INRA Auzeville, BP 52627, Castanet-Tolosan, France
| | - Alain Pinton
- INRA, UMR1388 Génétique, Physiologie et Systèmes d’Elevage, Castanet-Tolosan, France
- Université de Toulouse INPT ENSAT, UMR1388 Génétique, Physiologie et Systèmes d’Elevage, Castanet-Tolosan, France
- Université de Toulouse INPT ENVT, UMR1388 Génétique, Physiologie et Systèmes d’Elevage, Toulouse, France
| | - Rabia Letaief
- INRA, UMR1313, Génétique Animale et Biologie Intégrative, Domaine de Vilvert, Jouy-en-Josas, France
- AgroParisTech, UMR1313, Génétique Animale et Biologie Intégrative, Domaine de Vilvert, Jouy-en-Josas, France
| | - Gérald Salin
- INRA, UMR1388 Génétique, Physiologie et Systèmes d’Elevage, Castanet-Tolosan, France
- Université de Toulouse INPT ENSAT, UMR1388 Génétique, Physiologie et Systèmes d’Elevage, Castanet-Tolosan, France
- Université de Toulouse INPT ENVT, UMR1388 Génétique, Physiologie et Systèmes d’Elevage, Toulouse, France
| | - Frédéric Escudié
- INRA, UMR1388 Génétique, Physiologie et Systèmes d’Elevage, Castanet-Tolosan, France
- Université de Toulouse INPT ENSAT, UMR1388 Génétique, Physiologie et Systèmes d’Elevage, Castanet-Tolosan, France
- Université de Toulouse INPT ENVT, UMR1388 Génétique, Physiologie et Systèmes d’Elevage, Toulouse, France
| | - Alain Roulet
- INRA, UMR1388 Génétique, Physiologie et Systèmes d’Elevage, Castanet-Tolosan, France
- Université de Toulouse INPT ENSAT, UMR1388 Génétique, Physiologie et Systèmes d’Elevage, Castanet-Tolosan, France
- Université de Toulouse INPT ENVT, UMR1388 Génétique, Physiologie et Systèmes d’Elevage, Toulouse, France
| | - Sébastien Fritz
- INRA, UMR1313, Génétique Animale et Biologie Intégrative, Domaine de Vilvert, Jouy-en-Josas, France
- AgroParisTech, UMR1313, Génétique Animale et Biologie Intégrative, Domaine de Vilvert, Jouy-en-Josas, France
- Union Nationale des Coopératives Agricoles d’Elevage et d’Insémination Animale, Paris, France
| | - Franck Samson
- INRA, UR1077, Mathématique Informatique et Génome, Domaine de Vilvert, Jouy-en-Josas, France
| | - Cécile Grohs
- INRA, UMR1313, Génétique Animale et Biologie Intégrative, Domaine de Vilvert, Jouy-en-Josas, France
- AgroParisTech, UMR1313, Génétique Animale et Biologie Intégrative, Domaine de Vilvert, Jouy-en-Josas, France
| | - Maria Bernard
- INRA, SIGENAE, UR 875, INRA Auzeville, BP 52627, Castanet-Tolosan, France
| | - Christophe Klopp
- INRA, SIGENAE, UR 875, INRA Auzeville, BP 52627, Castanet-Tolosan, France
| | - Didier Boichard
- INRA, UMR1313, Génétique Animale et Biologie Intégrative, Domaine de Vilvert, Jouy-en-Josas, France
- AgroParisTech, UMR1313, Génétique Animale et Biologie Intégrative, Domaine de Vilvert, Jouy-en-Josas, France
| | - Dominique Rocha
- INRA, UMR1313, Génétique Animale et Biologie Intégrative, Domaine de Vilvert, Jouy-en-Josas, France
- AgroParisTech, UMR1313, Génétique Animale et Biologie Intégrative, Domaine de Vilvert, Jouy-en-Josas, France
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da Silva JM, Giachetto PF, da Silva LOC, Cintra LC, Paiva SR, Caetano AR, Yamagishi MEB. Genomic Variants Revealed by Invariably Missing Genotypes in Nelore Cattle. PLoS One 2015; 10:e0136035. [PMID: 26305794 PMCID: PMC4549312 DOI: 10.1371/journal.pone.0136035] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2015] [Accepted: 07/29/2015] [Indexed: 12/18/2022] Open
Abstract
High density genotyping panels have been used in a wide range of applications. From population genetics to genome-wide association studies, this technology still offers the lowest cost and the most consistent solution for generating SNP data. However, in spite of the application, part of the generated data is always discarded from final datasets based on quality control criteria used to remove unreliable markers. Some discarded data consists of markers that failed to generate genotypes, labeled as missing genotypes. A subset of missing genotypes that occur in the whole population under study may be caused by technical issues but can also be explained by the presence of genomic variations that are in the vicinity of the assayed SNP and that prevent genotyping probes from annealing. The latter case may contain relevant information because these missing genotypes might be used to identify population-specific genomic variants. In order to assess which case is more prevalent, we used Illumina HD Bovine chip genotypes from 1,709 Nelore (Bos indicus) samples. We found 3,200 missing genotypes among the whole population. NGS re-sequencing data from 8 sires were used to verify the presence of genomic variations within their flanking regions in 81.56% of these missing genotypes. Furthermore, we discovered 3,300 novel SNPs/Indels, 31% of which are located in genes that may affect traits of importance for the genetic improvement of cattle production.
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Affiliation(s)
- Joaquim Manoel da Silva
- Faculdade de Ciências Agrárias, Biológicas e Sociais Aplicadas, Universidade do Estado de Mato Grosso (UNEMAT), Nova Xavantina, Mato Grosso, Brazil
- Programa de Pós-Graduação em Genética e Biologia Molecular–Instituto de Biologia, Universidade Estadual de Campinas (UNICAMP), Campinas, São Paulo, Brazil
- * E-mail:
| | - Poliana Fernanda Giachetto
- Laboratório Multiusuário de Bioinformática (LMB)—Embrapa Informática Agropecuária, Campinas, São Paulo, Brazil
| | | | - Leandro Carrijo Cintra
- Laboratório Multiusuário de Bioinformática (LMB)—Embrapa Informática Agropecuária, Campinas, São Paulo, Brazil
| | - Samuel Rezende Paiva
- Embrapa–Secretaria de Relações Internacionais, Brasília, Distrito Federal, Brazil
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