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Rostamzadeh Mahdabi E, Tian R, Tian J, Asadollahpour Nanaie H, Wang X, Zhao M, Li H, Dalai B, Sai Y, Guo W, Li Y, Zhang H, Esmailizadeh A. Uncovering genomic diversity and signatures of selection in red Angus × Chinese red steppe crossbred cattle population. Sci Rep 2025; 15:12977. [PMID: 40234714 PMCID: PMC12000499 DOI: 10.1038/s41598-025-98346-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2024] [Accepted: 04/10/2025] [Indexed: 04/17/2025] Open
Abstract
Crossbreeding is a cornerstone of modern livestock improvement, combining desirable traits to enhance productivity and environmental resilience. This study conducts the first comprehensive genomic analysis of Red Angus × Chinese Red Steppe (RACS) crossbred cattle, evaluating their genetic architecture, diversity, and selection signatures relative to founder breeds (Red Angus and Chinese Red Steppe) and global populations. A total of 119 cattle, comprising 104 RACS crossbreds and 15 Chinese Red Steppes cattle, were genotyped using the GGP Bovine 100k SNP array. Additionally, the public available genotypic data generated using the BovineSNP50 chip from 550 animals across eight beef breeds (Angus, Hereford, Limousin, Charolais, Mongolian, Shorthorn, Red Angus, and Simmental) and one dairy breed (Holstein) were incorporated into the analysis. We aimed to (1) define the population structure of RACS cattle, (2) quantify their genomic diversity and inbreeding levels, and (3) pinpoint regions under selection linked to adaptive and economic traits. We employed runs of homozygosity (ROH) and population differentiation (Fst) analyses to detect selection signals. The results revealed that the crossbred (RACS), Angus, and Red Angus breeds exhibited similar clustering patterns in principal component analysis (PCA), but the crossbred population showed the highest nucleotide diversity and lowest inbreeding coefficients compared to other breeds. Notably, candidate regions associated with immune response, cold adaptation, and carcass traits were identified within the RACS population. These findings enhance our understanding of the genetic makeup of crossbred beef cattle and highlight their potential for genetic improvement, informing future selection and breeding strategies aimed at optimizing beef production in challenging environments.
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Affiliation(s)
- Elaheh Rostamzadeh Mahdabi
- Department of Animal Science, Faculty of Agriculture, Shahid Bahonar University of Kerman, PO BOX 76169-133, Kerman, Iran
| | - Rugang Tian
- Inner Mongolia Academy of Agricultural & Animal Husbandry Sciences, Hohhot, 010031, China.
| | - Jing Tian
- Inner Mongolia Academy of Agricultural & Animal Husbandry Sciences, Hohhot, 010031, China
| | | | - Xiao Wang
- Inner Mongolia Academy of Agricultural & Animal Husbandry Sciences, Hohhot, 010031, China
| | - Meng Zhao
- Inner Mongolia Academy of Agricultural & Animal Husbandry Sciences, Hohhot, 010031, China
| | - Hui Li
- Inner Mongolia Academy of Agricultural & Animal Husbandry Sciences, Hohhot, 010031, China
| | - Baolige Dalai
- Inner Mongolia Academy of Agricultural & Animal Husbandry Sciences, Hohhot, 010031, China
| | - Yin Sai
- Inner Mongolia Academy of Agricultural & Animal Husbandry Sciences, Hohhot, 010031, China
| | - Wenhua Guo
- Inner Mongolia Academy of Agricultural & Animal Husbandry Sciences, Hohhot, 010031, China
| | - Yuan Li
- Inner Mongolia Academy of Agricultural & Animal Husbandry Sciences, Hohhot, 010031, China
| | - Hao Zhang
- Forestry and Grassland Bureau of Siziwang Banner, Wulanchabu, China
| | - Ali Esmailizadeh
- Department of Animal Science, Faculty of Agriculture, Shahid Bahonar University of Kerman, PO BOX 76169-133, Kerman, Iran.
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Cai B, Kang Y, Ding Z, Guo S, Cao M, Hu L, Zhang B, Wang X, Pei J, Ge Q, Xiong L, Wu X, Guo X. Genomic Characterization of Crossbred-Driven Adaptation in the Endangered Yangba Cattle of China. Animals (Basel) 2025; 15:1065. [PMID: 40218458 PMCID: PMC11987921 DOI: 10.3390/ani15071065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2025] [Revised: 03/26/2025] [Accepted: 04/04/2025] [Indexed: 04/14/2025] Open
Abstract
This study unveils the unique origins, evolution, and genetic variations of the Yangba cattle, an endangered breed in China, through a comparative genomic analysis involving 202 individuals from 21 domestic and international breeds. Genetic component analysis revealed that the Yangba cattle comprise four ancestral lineages: Eurasian taurine (18%), East Asian taurine (26%), Chinese indicine (39%), and Indian indicine (17%). Their high genetic diversity and low inbreeding coefficient set them apart significantly from mainstream commercial breeds. Gene introgression analysis indicated that the influx of genetic material from East Asian taurine has enhanced the Yangba cattle's adaptability to environmental stress, while the introgression from Chinese indicine has endowed them with unique advantages in muscle development and tissue repair. A genome-wide selection scan identified strong positive selection signals for genes such as ABCC2, which is involved in immune regulation, and NCOA3, which plays a role in growth regulation, in the Yangba cattle. This study systematically elucidates, for the first time, the composite ancestral composition and mechanisms of adaptive evolution in Yangba cattle. These findings offer critical insights into the conservation and sustainable utilization of endangered cattle resources and underscore the importance of implementing effective breeding programs.
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Affiliation(s)
- Bao Cai
- Key Laboratory of Yak Breeding of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (B.C.); (Y.K.); (Z.D.); (S.G.); (M.C.); (L.H.); (B.Z.); (X.W.); (J.P.); (Q.G.); (L.X.)
| | - Yandong Kang
- Key Laboratory of Yak Breeding of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (B.C.); (Y.K.); (Z.D.); (S.G.); (M.C.); (L.H.); (B.Z.); (X.W.); (J.P.); (Q.G.); (L.X.)
| | - Ziqiang Ding
- Key Laboratory of Yak Breeding of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (B.C.); (Y.K.); (Z.D.); (S.G.); (M.C.); (L.H.); (B.Z.); (X.W.); (J.P.); (Q.G.); (L.X.)
| | - Shaoke Guo
- Key Laboratory of Yak Breeding of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (B.C.); (Y.K.); (Z.D.); (S.G.); (M.C.); (L.H.); (B.Z.); (X.W.); (J.P.); (Q.G.); (L.X.)
| | - Mengli Cao
- Key Laboratory of Yak Breeding of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (B.C.); (Y.K.); (Z.D.); (S.G.); (M.C.); (L.H.); (B.Z.); (X.W.); (J.P.); (Q.G.); (L.X.)
| | - Liyan Hu
- Key Laboratory of Yak Breeding of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (B.C.); (Y.K.); (Z.D.); (S.G.); (M.C.); (L.H.); (B.Z.); (X.W.); (J.P.); (Q.G.); (L.X.)
| | - Ben Zhang
- Key Laboratory of Yak Breeding of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (B.C.); (Y.K.); (Z.D.); (S.G.); (M.C.); (L.H.); (B.Z.); (X.W.); (J.P.); (Q.G.); (L.X.)
| | - Xingdong Wang
- Key Laboratory of Yak Breeding of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (B.C.); (Y.K.); (Z.D.); (S.G.); (M.C.); (L.H.); (B.Z.); (X.W.); (J.P.); (Q.G.); (L.X.)
| | - Jie Pei
- Key Laboratory of Yak Breeding of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (B.C.); (Y.K.); (Z.D.); (S.G.); (M.C.); (L.H.); (B.Z.); (X.W.); (J.P.); (Q.G.); (L.X.)
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou 730050, China
| | - Qianyun Ge
- Key Laboratory of Yak Breeding of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (B.C.); (Y.K.); (Z.D.); (S.G.); (M.C.); (L.H.); (B.Z.); (X.W.); (J.P.); (Q.G.); (L.X.)
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou 730050, China
| | - Lin Xiong
- Key Laboratory of Yak Breeding of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (B.C.); (Y.K.); (Z.D.); (S.G.); (M.C.); (L.H.); (B.Z.); (X.W.); (J.P.); (Q.G.); (L.X.)
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou 730050, China
| | - Xiaoyun Wu
- Key Laboratory of Yak Breeding of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (B.C.); (Y.K.); (Z.D.); (S.G.); (M.C.); (L.H.); (B.Z.); (X.W.); (J.P.); (Q.G.); (L.X.)
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou 730050, China
| | - Xian Guo
- Key Laboratory of Yak Breeding of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; (B.C.); (Y.K.); (Z.D.); (S.G.); (M.C.); (L.H.); (B.Z.); (X.W.); (J.P.); (Q.G.); (L.X.)
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou 730050, China
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Duan D, Zhou S, Wang Z, Qiao C, Han J, Li M, Zhou H, Li X, Xin W. Genome-Wide Association Study Pinpoints Novel Candidate Genes Associated with the Gestation Length of the First Parity in French Large White Sows. Animals (Basel) 2025; 15:447. [PMID: 39943217 PMCID: PMC11815982 DOI: 10.3390/ani15030447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2024] [Revised: 01/09/2025] [Accepted: 01/22/2025] [Indexed: 02/16/2025] Open
Abstract
Gestation length (GL) is a critical indicator of reproductive performance in sows and is closely associated with other reproductive traits, such as total number born (TNB) and number born alive (NBA). Despite its importance, the genetic mechanisms underlying GL and its impact on reproductive traits remain poorly understood. In this study, we investigated the relationship between GL and reproductive traits using 7013 farrowing records and conducted an imputed whole-genome sequence-based genome-wide association study (GWAS) for GL in first-parity sows, involving 3005 French Large White sows. Our findings revealed that the heritability of GL ranged from 0.22 to 0.26. Both excessively short and long GLs were associated with negative impacts on TNB, NBA, and other reproductive traits. A total of 64 SNPs exceeded the significance threshold, leading to the identification of two novel quantitative trait loci (QTLs) on chromosome 5 (QTL-1: 15.29-15.39 Mb and QTL-2: 12.86-12.94 Mb) and three promising candidate genes: TROAP, RFX4, and ADCY6. Gene ontology and KEGG pathway enrichment analyses revealed that these candidate genes are enriched in key biological processes, including ovarian steroidogenesis, the GnRH signaling pathway, and the regulation of cAMP biosynthesis, all of which are crucial for gestation and pregnancy maintenance. These findings improve our understanding of the genetic architecture of GL in sows and offer valuable genetic markers for enhancing reproductive efficiency in breeding programs.
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Affiliation(s)
- Dongdong Duan
- Sanya Institute, Hainan Academy of Agricultural Sciences, Sanya 572025, China; (D.D.); (S.Z.); (Z.W.); (C.Q.); (J.H.); (M.L.); (H.Z.)
| | - Shenping Zhou
- Sanya Institute, Hainan Academy of Agricultural Sciences, Sanya 572025, China; (D.D.); (S.Z.); (Z.W.); (C.Q.); (J.H.); (M.L.); (H.Z.)
- Institute of Animal Science and Veterinary Medicine, Hainan Academy of Agricultural Sciences, Haikou 571100, China
| | - Zhenyu Wang
- Sanya Institute, Hainan Academy of Agricultural Sciences, Sanya 572025, China; (D.D.); (S.Z.); (Z.W.); (C.Q.); (J.H.); (M.L.); (H.Z.)
| | - Chuanmin Qiao
- Sanya Institute, Hainan Academy of Agricultural Sciences, Sanya 572025, China; (D.D.); (S.Z.); (Z.W.); (C.Q.); (J.H.); (M.L.); (H.Z.)
| | - Jinyi Han
- Sanya Institute, Hainan Academy of Agricultural Sciences, Sanya 572025, China; (D.D.); (S.Z.); (Z.W.); (C.Q.); (J.H.); (M.L.); (H.Z.)
| | - Mengyu Li
- Sanya Institute, Hainan Academy of Agricultural Sciences, Sanya 572025, China; (D.D.); (S.Z.); (Z.W.); (C.Q.); (J.H.); (M.L.); (H.Z.)
| | - Hao Zhou
- Sanya Institute, Hainan Academy of Agricultural Sciences, Sanya 572025, China; (D.D.); (S.Z.); (Z.W.); (C.Q.); (J.H.); (M.L.); (H.Z.)
| | - Xinjian Li
- Sanya Institute, Hainan Academy of Agricultural Sciences, Sanya 572025, China; (D.D.); (S.Z.); (Z.W.); (C.Q.); (J.H.); (M.L.); (H.Z.)
- Institute of Animal Science and Veterinary Medicine, Hainan Academy of Agricultural Sciences, Haikou 571100, China
| | - Wenshui Xin
- Sanya Institute, Hainan Academy of Agricultural Sciences, Sanya 572025, China; (D.D.); (S.Z.); (Z.W.); (C.Q.); (J.H.); (M.L.); (H.Z.)
- Institute of Animal Science and Veterinary Medicine, Hainan Academy of Agricultural Sciences, Haikou 571100, China
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Guo Y, Zhao Z, Ge F, Yu H, Lyu C, Liu Y, Li J, Chen Y. Deciphering the Population Characteristics of Leiqiong Cattle Using Whole-Genome Sequencing Data. Animals (Basel) 2025; 15:342. [PMID: 39943110 PMCID: PMC11815765 DOI: 10.3390/ani15030342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2024] [Revised: 01/18/2025] [Accepted: 01/22/2025] [Indexed: 02/16/2025] Open
Abstract
Long-term geographic isolation and breeding programs both influence population characteristics. Leiqiong cattle, a native breed from the southernmost region of China, are renowned for disease and heat resistance, with two subgroups on Hainan Island and the Leizhou Peninsula. However, the genomic differences between them remain unexplored. In this study, we conducted genomic comparisons using whole-genome sequencing data from the two subgroups of Leiqiong cattle and three commercial breeds to assess their population structures. Leiqiong cattle in Hainan exhibited lower genetic diversity and a pure ancestral content due to their isolation from the mainland. In contrast, the subgroup in Guangdong displayed higher genetic diversity and mixed ancestry, influenced by the intrusion of commercial breeds. The genetic divergence between them was evaluated by estimating a genetic distance of 0.08 and a split time of 3400 to 4250 years ago, highlighting the role of geographical barriers in speciation. Notably, two candidate genes were identified through selection sweeps, including PIP4K2A, potentially related to immunity, and TNFSF4, possibly involved in hair follicle development. Our findings reveal the different genetic structures and genomic characteristics in the two subgroups of Leiqiong cattle, providing valuable insights into their evolutionary history and establishing a foundation for future breeding strategies.
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Affiliation(s)
- Yingwei Guo
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China; (Y.G.); (F.G.); (C.L.); (Y.L.)
| | - Zhihui Zhao
- College of Coastal Agricultural Sciences, Guangdong Ocean University, Zhanjiang 524088, China; (Z.Z.); (H.Y.)
| | - Fei Ge
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China; (Y.G.); (F.G.); (C.L.); (Y.L.)
| | - Haibin Yu
- College of Coastal Agricultural Sciences, Guangdong Ocean University, Zhanjiang 524088, China; (Z.Z.); (H.Y.)
| | - Chenxiao Lyu
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China; (Y.G.); (F.G.); (C.L.); (Y.L.)
- Institute of Animal Husbandry and Veterinary Science, Tianjin Academy of Agricultural Sciences, Tianjin 300381, China
| | - Yuxin Liu
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China; (Y.G.); (F.G.); (C.L.); (Y.L.)
| | - Junya Li
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China; (Y.G.); (F.G.); (C.L.); (Y.L.)
| | - Yan Chen
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China; (Y.G.); (F.G.); (C.L.); (Y.L.)
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Liu D, Yang Y, Chen Z, Fan Y, Liu J, Xu Y, Ahmed Z, Zhang J, Li F, Qi X, Song W, Zhu K, Gongque J, Li G, Huang B, Lei C. Temperature adaptation patterns in Chinese cattle revealed by TRPM2 gene mutation analysis. Anim Biotechnol 2024; 35:2299944. [PMID: 38164963 DOI: 10.1080/10495398.2023.2299944] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2024]
Abstract
Cattle are sensitive to temperature fluctuations but adapt well to inclement weather conditions. When environmental temperatures exceed specific thresholds, heat stress becomes a critical concern for cattle. The TRPM2 gene, which resides on cattle chromosome 1 encodes a TRP channel protein, holding a unique capacity to sense temperature changes and facilitate rapid response to avoid heat stress. Here, we utilized the Bovine Genome Variation Database (BGVD) (http://animal.omics.pro/code/index.php/BosVar), and identified a missense mutation site, c.805A > G: p. Met269Val (rs527146862), within the TRPM2 gene. To elucidate the functional assessment of this mutation in temperature adaptation attributes of Chinese cattle, we genotyped 407 samples from 20 distinct breeds representing diverse climatic zones across China. The association analysis incorporates three temperature parameters and revealed compelling insights in terms of allele frequency. Interestingly, the prevalence of the wild-type allele A was notably higher among northern cattle breeds and this trend diminished gradually as observed in southern cattle populations. Conversely, the mutant-type allele G demonstrated a contrasting trend. Moreover, southern cattle exhibited markedly higher frequencies of GG and GA genotypes (P < 0.01). The presence of heterozygous and homozygous mutations appears to confer an enhanced capacity for adaptation to elevated temperatures. These results provide unequivocal correlation evidence between TRPM2 genotypes (AA, GA, GG) and environmental temperature parameters and comprehend the genetic mechanisms governing temperature adaptation in cattle. This provides valuable insights for strategic breed selection across diverse climatic regions, thereby aiding livestock production amid evolving climate challenges.
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Affiliation(s)
- Dekai Liu
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A and F University, Yangling, China
| | - Yifan Yang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A and F University, Yangling, China
| | - Zhefu Chen
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A and F University, Yangling, China
| | - Yijie Fan
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A and F University, Yangling, China
| | - Jianyong Liu
- Yunnan Academy of Grassland and Animal Science, Kunming, China
| | - Yibing Xu
- Department of Veterinary Medicine, College of Coastal Agricultural Sciences, Guangdong Ocean University, Zhanjiang, Guangdong, China
| | - Zulfiqar Ahmed
- Department of Livestock and Poultry Production, Faculty of Veterinary and Animal Sciences, University of Poonch Rawalakot, Azad Jammu and Kashmir, Pakistan
| | - Jicai Zhang
- Yunnan Academy of Grassland and Animal Science, Kunming, China
| | - Fuqiang Li
- Hunan Tianhua Industrial Corporation Ltd, Lianyuan, China
| | - Xingshan Qi
- Biyang Xianan Cattle Technology and Development Company Ltd, Biyang, China
| | - Weiru Song
- Animal Disease Prevention and Control Center of Yushu Tibetan Autonomous Prefecture, Yushu, China
| | - Kaixia Zhu
- Animal Disease Prevention and Control Center of Yushu Tibetan Autonomous Prefecture, Yushu, China
| | - Jiangcai Gongque
- Animal Disease Prevention and Control Center of Yushu Tibetan Autonomous Prefecture, Yushu, China
| | - Guomei Li
- Forestry and Grassland Comprehensive Service Center of Yushu Prefecture, Qinghai, China
| | - Bizhi Huang
- Yunnan Academy of Grassland and Animal Science, Kunming, China
| | - Chuzhao Lei
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A and F University, Yangling, China
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Ostridge HJ, Fontsere C, Lizano E, Soto DC, Schmidt JM, Saxena V, Alvarez-Estape M, Barratt CD, Gratton P, Bocksberger G, Lester JD, Dieguez P, Agbor A, Angedakin S, Assumang AK, Bailey E, Barubiyo D, Bessone M, Brazzola G, Chancellor R, Cohen H, Coupland C, Danquah E, Deschner T, Dotras L, Dupain J, Egbe VE, Granjon AC, Head J, Hedwig D, Hermans V, Hernandez-Aguilar RA, Jeffery KJ, Jones S, Junker J, Kadam P, Kaiser M, Kalan AK, Kambere M, Kienast I, Kujirakwinja D, Langergraber KE, Lapuente J, Larson B, Laudisoit A, Lee KC, Llana M, Maretti G, Martín R, Meier A, Morgan D, Neil E, Nicholl S, Nixon S, Normand E, Orbell C, Ormsby LJ, Orume R, Pacheco L, Preece J, Regnaut S, Robbins MM, Rundus A, Sanz C, Sciaky L, Sommer V, Stewart FA, Tagg N, Tédonzong LR, van Schijndel J, Vendras E, Wessling EG, Willie J, Wittig RM, Yuh YG, Yurkiw K, Vigilant L, Piel A, Boesch C, Kühl HS, Dennis MY, Marques-Bonet T, Arandjelovic M, Andrés AM. Local genetic adaptation to habitat in wild chimpanzees. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.07.09.601734. [PMID: 39026872 PMCID: PMC11257515 DOI: 10.1101/2024.07.09.601734] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/20/2024]
Abstract
How populations adapt to their environment is a fundamental question in biology. Yet we know surprisingly little about this process, especially for endangered species such as non-human great apes. Chimpanzees, our closest living relatives, are particularly interesting because they inhabit diverse habitats, from rainforest to woodland-savannah. Whether genetic adaptation facilitates such habitat diversity remains unknown, despite having wide implications for evolutionary biology and conservation. Using 828 newly generated exomes from wild chimpanzees, we find evidence of fine-scale genetic adaptation to habitat. Notably, adaptation to malaria in forest chimpanzees is mediated by the same genes underlying adaptation to malaria in humans. This work demonstrates the power of non-invasive samples to reveal genetic adaptations in endangered populations and highlights the importance of adaptive genetic diversity for chimpanzees.
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Affiliation(s)
- Harrison J Ostridge
- UCL Genetics Institute, Department of Genetics, Evolution and Environment, University College London, London, United Kingdom
| | - Claudia Fontsere
- Center for Evolutionary Hologenomics, The Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Esther Lizano
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, Dr. Aiguader 88, 08003 Barcelona, Spain
| | - Daniela C Soto
- University of California, Davis, Genome Center, MIND Institute, Department of Biochemistry & Molecular Medicine, One Shields Drive, Davis, CA, 95616, USA
| | - Joshua M Schmidt
- Flinders Health and Medical Research Institute (FHMRI), Department of Ophthalmology, Flinders University Sturt Rd, Bedford Park South Australia 5042 Australia
| | - Vrishti Saxena
- UCL Genetics Institute, Department of Genetics, Evolution and Environment, University College London, London, United Kingdom
| | - Marina Alvarez-Estape
- University of California, Davis, Genome Center, MIND Institute, Department of Biochemistry & Molecular Medicine, One Shields Drive, Davis, CA, 95616, USA
| | - Christopher D Barratt
- Naturalis Biodiversity Center, Darwinweg 2, 2333 CR Leiden, the Netherlands
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Leipzig-Jena, Puschstrasse 4, 04103 Leipzig, Germany
| | - Paolo Gratton
- University of Rome "Tor Vergata" Department of Biology Via Cracovia, 1, Roma, Italia
| | - Gaëlle Bocksberger
- Senckenberg Biodiversity and Climate Research Centre (SBiK-F), Senckenberganlage, 60325 Frankfurt am Main, Germany
| | - Jack D Lester
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
| | - Paula Dieguez
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Leipzig-Jena, Puschstrasse 4, 04103 Leipzig, Germany
| | - Anthony Agbor
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
| | - Samuel Angedakin
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
| | - Alfred Kwabena Assumang
- Department of Wildlife and Range Management, Faculty of Renewable Natural Resources, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Emma Bailey
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
| | - Donatienne Barubiyo
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
| | - Mattia Bessone
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
- University of Konstanz, Centre for the Advanced Study of Collective Behaviour, Universitätsstraße 10, 78464, Konstanz, Germany
| | - Gregory Brazzola
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
| | - Rebecca Chancellor
- West Chester University, Depts of Anthropology & Sociology and Psychology, West Chester, PA, 19382 USA
| | - Heather Cohen
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Leipzig-Jena, Puschstrasse 4, 04103 Leipzig, Germany
| | - Charlotte Coupland
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
| | - Emmanuel Danquah
- Department of Wildlife and Range Management, Faculty of Renewable Natural Resources, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Tobias Deschner
- Institute of Cognitive Science, University of Osnabrück, Artilleriestrasse 34, 49076 Osnabrück, Germany
| | - Laia Dotras
- Jane Goodall Institute Spain and Senegal, Dindefelo Biological Station, Dindefelo, Kedougou, Senegal
- Department of Social Psychology and Quantitative Psychology, Serra Hunter Programme, University of Barcelona, Barcelona, Spain
| | - Jef Dupain
- Antwerp Zoo Foundation, RZSA, Kon.Astridplein 26, 2018 Antwerp, Belgium
| | - Villard Ebot Egbe
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
| | - Anne-Céline Granjon
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
| | - Josephine Head
- The Biodiversity Consultancy, 3E Kings Parade, Cambridge, CB2 1SJ, UK
| | - Daniela Hedwig
- Elephant Listening Project, K. Lisa Yang Center for Conservation Bioacoustics, Cornell Lab of Ornithology, Cornell University, 159 Sapsucker Woods Road, Ithaca, NY 14850, USA
| | - Veerle Hermans
- KMDA, Centre for Research and Conservation, Royal Zoological Society of Antwerp, Koningin Astridplein 20-26, B-2018 Antwerp, Belgium
| | - R Adriana Hernandez-Aguilar
- Jane Goodall Institute Spain and Senegal, Dindefelo Biological Station, Dindefelo, Kedougou, Senegal
- Department of Social Psychology and Quantitative Psychology, Serra Hunter Programme, University of Barcelona, Barcelona, Spain
| | - Kathryn J Jeffery
- School of Natural Sciences, University of Stirling, UK
- Agence National des Parcs Nationaux (ANPN) Batterie 4, BP20379, Libreville, Gabon
| | - Sorrel Jones
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
| | - Jessica Junker
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Leipzig-Jena, Puschstrasse 4, 04103 Leipzig, Germany
| | - Parag Kadam
- Greater Mahale Ecosystem Research and Conservation Project
| | - Michael Kaiser
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
| | - Ammie K Kalan
- Department of Anthropology, University of Victoria, 3800 Finnerty Rd, Victoria, BC V8P 5C2, Canada
| | - Mbangi Kambere
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
| | - Ivonne Kienast
- Department of Natural Resources and the Environment, Cornell University, Ithaca, NY 14850, USA
- K. Lisa Yang Center for Conservation Bioacoustics, Cornell Lab of Ornithology, Cornell University, Ithaca, NY 14850, USA
| | - Deo Kujirakwinja
- Wildlife Conservation Society (WCS), 2300 Southern Boulevard. Bronx, New York 10460, USA
| | - Kevin E Langergraber
- School of Human Evolution and Social Change, Institute of Human Origins, Arizona State University, 777 East University Drive, Tempe, AZ 85287 Arizona State University, PO Box 872402, Tempe, AZ 85287-2402 USA
- Institute of Human Origins, Arizona State University, 900 Cady Mall, Tempe, AZ 85287 Arizona State University, PO Box 872402, Tempe, AZ 85287-2402 USA
| | - Juan Lapuente
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
| | | | | | - Kevin C Lee
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
- K. Lisa Yang Center for Conservation Bioacoustics, Cornell Lab of Ornithology, Cornell University, Ithaca, NY 14850, USA
| | - Manuel Llana
- Jane Goodall Institute Spain and Senegal, Dindefelo Biological Station, Dindefelo, Kedougou, Senegal
| | - Giovanna Maretti
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
| | - Rumen Martín
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
| | - Amelia Meier
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
- Hawai'i Insititute of Marine Biology, University of Hawai'i at Manoa, 46-007 Lilipuna Place, Kaneohe, HI, 96744, USA
| | - David Morgan
- Lester E. Fisher Center for the Study and Conservation of Apes, Lincoln Park Zoo, 2001 North Clark Street, Chicago, Illinois 60614 USA
| | - Emily Neil
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
| | - Sonia Nicholl
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
| | - Stuart Nixon
- North of England Zoological Society, Chester Zoo, Upton by Chester, CH2 1LH, United Kingdom
| | | | - Christopher Orbell
- Panthera, 8 W 40TH ST, New York, NY 10018, USA
- School of Natural Sciences, University of Stirling, UK
| | - Lucy Jayne Ormsby
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
| | - Robinson Orume
- Korup Rainforest Conservation Society, c/o Korup National Park, P.O. Box 36 Mundemba, South West Region, Cameroon
| | - Liliana Pacheco
- Save the Dogs and Other Animals, DJ 223 Km 3, 905200 Cernavoda CT, Romania
| | - Jodie Preece
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
| | | | - Martha M Robbins
- Max Planck Institute for Evolutionary Anthropology, Department of Primate Behavior and Evolution, Deutscher Platz 6, 04103 Leipzig
| | - Aaron Rundus
- West Chester University, Depts of Anthropology & Sociology and Psychology, West Chester, PA, 19382 USA
| | - Crickette Sanz
- Washington University in Saint Louis, Department of Anthropology, One Brookings Drive, St. Louis, MO 63130, USA
- Congo Program, Wildlife Conservation Society, 151 Avenue Charles de Gaulle, Brazzaville, Republic of Congo
| | - Lilah Sciaky
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
| | - Volker Sommer
- University College London, Department of Anthropology, 14 Taviton Street, London WC1H 0BW, UK
| | - Fiona A Stewart
- University College London, Department of Anthropology, 14 Taviton Street, London WC1H 0BW, UK
- Department of Human Origins, Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
| | - Nikki Tagg
- KMDA, Centre for Research and Conservation, Royal Zoological Society of Antwerp, Koningin Astridplein 20-26, B-2018 Antwerp, Belgium
- Born Free Foundation, Floor 2 Frazer House, 14 Carfax, Horsham, RH12 1ER, UK
| | - Luc Roscelin Tédonzong
- KMDA, Centre for Research and Conservation, Royal Zoological Society of Antwerp, Koningin Astridplein 20-26, B-2018 Antwerp, Belgium
| | - Joost van Schijndel
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
| | - Elleni Vendras
- Frankfurt Zoological Society, Bernhard-Grzimek-Allee 1, 60316 Frankfurt, Germany
| | - Erin G Wessling
- Johann-Friedrich-Blumenbach Institute for Zoology and Anthropology, Georg-August-University Göttingen,Göttingen, Germany
- German Primate Center, Leibniz Institute for Primate Research, Göttingen, Germany
| | - Jacob Willie
- KMDA, Centre for Research and Conservation, Royal Zoological Society of Antwerp, Koningin Astridplein 20-26, B-2018 Antwerp, Belgium
- Terrestrial Ecology Unit (TEREC), Department of Biology, Ghent University (UGent), K.L. Ledeganckstraat 35, 9000 Ghent, Belgium
| | - Roman M Wittig
- Ape Social Mind Lab, Institute for Cognitive Sciences Marc Jeannerod, CNRS UMR 5229 CNRS, 67 bd Pinel, 69675 Bron CEDEX, France
- Taï Chimpanzee Project, Centre Suisse de Recherches Scientifiques, BP 1301, Abidjan 01, CI
| | - Yisa Ginath Yuh
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
| | - Kyle Yurkiw
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
| | - Linda Vigilant
- Max Planck Institute for Evolutionary Anthropology (MPI EVAN), Deutscher Platz 6, 04103 Leipzig
| | - Alex Piel
- University College London, Department of Anthropology, 14 Taviton Street, London WC1H 0BW, UK
| | | | - Hjalmar S Kühl
- Senckenberg Museum for Natural History Görlitz, Senckenberg - Member of the Leibniz Association Am Museum 1, 02826 Görlitz, Germany
- International Institute Zittau, Technische Universität Dresden, Markt 23, 02763 Zittau, Germany
| | - Megan Y Dennis
- University of California, Davis, Genome Center, MIND Institute, Department of Biochemistry & Molecular Medicine, One Shields Drive, Davis, CA, 95616, USA
| | - Tomas Marques-Bonet
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, Dr. Aiguader 88, 08003 Barcelona, Spain
- Catalan Institution of Research and Advanced Studies (ICREA), Passeig de Lluís Companys, 23, 08010, Barcelona, Spain
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Baldiri i Reixac 4, 08028 Barcelona, Spain
- Institut Català de Paleontologia Miquel Crusafont, Universitat Autònoma de Barcelona, Edifici ICTA-ICP, c/ Columnes s/n, 08193 Cerdanyola del Vallès, Barcelona, Spain
| | - Mimi Arandjelovic
- Max Planck Institute for Evolutionary Anthropology, Department of Primate Behavior and Evolution, Deutscher Platz 6, 04103 Leipzig
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstrasse 4, 04103
| | - Aida M Andrés
- UCL Genetics Institute, Department of Genetics, Evolution and Environment, University College London, London, United Kingdom
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Qi L, Xiao L, Fu R, Nie Q, Zhang X, Luo W. Genetic characteristics and selection signatures between Southern Chinese local and commercial chickens. Poult Sci 2024; 103:103863. [PMID: 38810566 PMCID: PMC11166977 DOI: 10.1016/j.psj.2024.103863] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Revised: 04/25/2024] [Accepted: 05/13/2024] [Indexed: 05/31/2024] Open
Abstract
The introduction of exotic breeds and the cultivation of new lines by breeding companies have posed challenges to native chickens in South China, including loss of breed characteristics, decreased genetic diversity, and declining purity. Understanding the population genetic structure and genetic diversity of native chickens in South China is crucial for further advancements in breeding efforts. In this study, we analyzed the population genetic structure and genetic diversity of 321 individuals from 10 different breeds in South China. By comparing commercial chickens with native ones, we identified selection signatures occurring between local chickens and commercial breeds. The analysis of population genetic structure revealed that the native chicken populations in South China exhibited a considerable level of genetic diversity. Moreover, the commercial lines of Xiaobai chicken and Huangma chicken displayed even higher levels of genetic diversity, which distinguished them from other native varieties at the clustering level. However, certain individuals within these commercial varieties showed a discernible genetic relationship with the native populations. Notably, both commercial varieties also retained a significant degree of genetic similarity to their respective native counterparts. In order to investigate the genomic changes occurring during the commercialization of native chickens, we employed 4 methods (Fst, ROD, XPCLR, and XPEHH) to identify potential candidate regions displaying selective signatures in Southern Chinese native chicken population. A total of 168 (identified by Fst and ROD) and 86 (identified by XPCLR and XPEHH) overlapping genes were discovered. Functional annotation analysis revealed that these genes may be associated with reproduction and growth (SAMSN1, HYLS1, ROBO3, FGF14, PRSS23), musculoskeletal development (DNER, MYBPC1, DGKB, ORC1, KLF10), disease resistance and environmental adaptability (PUS3, CRB2, CALD1, USP15, SGCD, LTBP1), as well as egg production (ADGRB3, ACSF3). Overall, native chickens in South China harbor numerous selective sweep regions compared to commercial chickens, enriching valuable genomic resources for future genetic research and breeding conservation.
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Affiliation(s)
- Lin Qi
- State Key Laboratory of Livestock and Poultry Breeding, & Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affair, South China Agricultural University, 510642, China; Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou Guangzhou 510642, China
| | - Liangchao Xiao
- State Key Laboratory of Livestock and Poultry Breeding, & Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affair, South China Agricultural University, 510642, China; Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou Guangzhou 510642, China
| | - Rong Fu
- State Key Laboratory of Livestock and Poultry Breeding, & Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affair, South China Agricultural University, 510642, China; Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou Guangzhou 510642, China
| | - Qinghua Nie
- State Key Laboratory of Livestock and Poultry Breeding, & Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affair, South China Agricultural University, 510642, China; Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou Guangzhou 510642, China
| | - Xiquan Zhang
- State Key Laboratory of Livestock and Poultry Breeding, & Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affair, South China Agricultural University, 510642, China; Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou Guangzhou 510642, China
| | - Wen Luo
- State Key Laboratory of Livestock and Poultry Breeding, & Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affair, South China Agricultural University, 510642, China; Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou Guangzhou 510642, China.
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Gao Z, Lu Y, Chong Y, Li M, Hong J, Wu J, Wu D, Xi D, Deng W. Beef Cattle Genome Project: Advances in Genome Sequencing, Assembly, and Functional Genes Discovery. Int J Mol Sci 2024; 25:7147. [PMID: 39000250 PMCID: PMC11240973 DOI: 10.3390/ijms25137147] [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: 06/03/2024] [Revised: 06/23/2024] [Accepted: 06/26/2024] [Indexed: 07/16/2024] Open
Abstract
Beef is a major global source of protein, playing an essential role in the human diet. The worldwide production and consumption of beef continue to rise, reflecting a significant trend. However, despite the critical importance of beef cattle resources in agriculture, the diversity of cattle breeds faces severe challenges, with many breeds at risk of extinction. The initiation of the Beef Cattle Genome Project is crucial. By constructing a high-precision functional annotation map of their genome, it becomes possible to analyze the genetic mechanisms underlying important traits in beef cattle, laying a solid foundation for breeding more efficient and productive cattle breeds. This review details advances in genome sequencing and assembly technologies, iterative upgrades of the beef cattle reference genome, and its application in pan-genome research. Additionally, it summarizes relevant studies on the discovery of functional genes associated with key traits in beef cattle, such as growth, meat quality, reproduction, polled traits, disease resistance, and environmental adaptability. Finally, the review explores the potential of telomere-to-telomere (T2T) genome assembly, structural variations (SVs), and multi-omics techniques in future beef cattle genetic breeding. These advancements collectively offer promising avenues for enhancing beef cattle breeding and improving genetic traits.
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Affiliation(s)
- Zhendong Gao
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Ying Lu
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Yuqing Chong
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Mengfei Li
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Jieyun Hong
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Jiao Wu
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Dongwang Wu
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Dongmei Xi
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Weidong Deng
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
- State Key Laboratory for Conservation and Utilization of Bio-Resource in Yunnan, Kunming 650201, China
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Jiang Q, Zhu L, Zeng H, Basang Z, Suolang Q, Huang J, Cai Y. Evolutionary adaptations generally reverse phenotypic plasticity to restore ancestral phenotypes during new environment adaptation in cattle. Ecol Evol 2024; 14:e11489. [PMID: 38840586 PMCID: PMC11150418 DOI: 10.1002/ece3.11489] [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: 02/07/2024] [Revised: 05/11/2024] [Accepted: 05/15/2024] [Indexed: 06/07/2024] Open
Abstract
Phenotype plasticity and evolution adaptations are the two main ways in which allow populations to deal with environmental changes, but the potential relationship between them remains controversial. Using a reciprocal transplant approach with cattle adapted to the Tibetan Plateau and adjacent lowlands, we aim to investigate the relative contributions of evolutionary processes and phenotypic plasticity in driving both phenotypic and transcriptomic changes under natural conditions. We observed that while numerous genetic transcriptomic changes were evident during the forward adaptation to highland environments, plastic changes predominantly facilitate the transformation of transcriptomes into a preferred state when Tibetan cattle are reintroduced to lowland habitats. Genes with ancestral plasticity are generally reversed by evolutionary adaptations and show a closer expression level to the ancestral stage in evolved Tibetan cattle. A similar trend was also observed at the phenotypes level, with a majority of biochemical and hemorheology phenotypes showing a tendency to revert to their ancestral patterns, suggesting the restoration of ancestral expression levels is a widespread evolutionary trend during adaptation. The findings of our study contribute to the debate regarding the relative contributions of plasticity and genetic changes in mammal environment adaptation. Furthermore, we highlight that the restoration of ancestral phenotypes represents a general pattern in cattle new environment adaptation.
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Affiliation(s)
- Qiang Jiang
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and TechnologyNanjing Agricultural UniversityNanjingChina
- Institute of Animal Science and Veterinary MedicineShandong Academy of Agricultural SciencesJinanChina
| | - Li Zhu
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and TechnologyYunnan Agricultural UniversityKunmingChina
| | - Hao Zeng
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and TechnologyYunnan Agricultural UniversityKunmingChina
| | - Zhuzha Basang
- Institute of Animal Science and Veterinary MedicineTibet Academy of Agricultural and Animal Husbandry SciencesLhasaChina
| | - Quji Suolang
- Institute of Animal Science and Veterinary MedicineTibet Academy of Agricultural and Animal Husbandry SciencesLhasaChina
| | - Jinming Huang
- Institute of Animal Science and Veterinary MedicineShandong Academy of Agricultural SciencesJinanChina
| | - Yafei Cai
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and TechnologyNanjing Agricultural UniversityNanjingChina
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Zhao Q, Huang C, Chen Q, Su Y, Zhang Y, Wang R, Su R, Xu H, Liu S, Ma Y, Zhao Q, Ye S. Genomic Inbreeding and Runs of Homozygosity Analysis of Cashmere Goat. Animals (Basel) 2024; 14:1246. [PMID: 38672394 PMCID: PMC11047310 DOI: 10.3390/ani14081246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Revised: 04/15/2024] [Accepted: 04/18/2024] [Indexed: 04/28/2024] Open
Abstract
Cashmere goats are valuable genetic resources which are famous worldwide for their high-quality fiber. Runs of homozygosity (ROHs) have been identified as an efficient tool to assess inbreeding level and identify related genes under selection. However, there is limited research on ROHs in cashmere goats. Therefore, we investigated the ROH pattern, assessed genomic inbreeding levels and examined the candidate genes associated with the cashmere trait using whole-genome resequencing data from 123 goats. Herein, the Inner Mongolia cashmere goat presented the lowest inbreeding coefficient of 0.0263. In total, we identified 57,224 ROHs. Seventy-four ROH islands containing 50 genes were detected. Certain identified genes were related to meat, fiber and milk production (FGF1, PTPRM, RERE, GRID2, RARA); fertility (BIRC6, ECE2, CDH23, PAK1); disease or cold resistance and adaptability (PDCD1LG2, SVIL, PRDM16, RFX4, SH3BP2); and body size and growth (TMEM63C, SYN3, SDC1, STRBP, SMG6). 135 consensus ROHs were identified, and we found candidate genes (FGF5, DVL3, NRAS, KIT) were associated with fiber length or color. These findings enhance our comprehension of inbreeding levels in cashmere goats and the genetic foundations of traits influenced by selective breeding. This research contributes significantly to the future breeding, reservation and use of cashmere goats and other goat breeds.
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Affiliation(s)
- Qian Zhao
- Department of Animal Breeding and Reproduction, College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (Q.Z.); (C.H.)
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China; (Q.C.); (Y.S.); (Y.M.)
| | - Chang Huang
- Department of Animal Breeding and Reproduction, College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (Q.Z.); (C.H.)
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China; (Q.C.); (Y.S.); (Y.M.)
| | - Qian Chen
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China; (Q.C.); (Y.S.); (Y.M.)
| | - Yingxiao Su
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China; (Q.C.); (Y.S.); (Y.M.)
| | - Yanjun Zhang
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China; (Y.Z.); (R.W.); (R.S.)
| | - Ruijun Wang
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China; (Y.Z.); (R.W.); (R.S.)
| | - Rui Su
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China; (Y.Z.); (R.W.); (R.S.)
| | - Huijuan Xu
- Chifeng Hanshan White Cashmere Goat Breeding Farm, Chifeng 024506, China; (H.X.); (S.L.)
| | - Shucai Liu
- Chifeng Hanshan White Cashmere Goat Breeding Farm, Chifeng 024506, China; (H.X.); (S.L.)
| | - Yuehui Ma
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China; (Q.C.); (Y.S.); (Y.M.)
| | - Qianjun Zhao
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China; (Q.C.); (Y.S.); (Y.M.)
| | - Shaohui Ye
- Department of Animal Breeding and Reproduction, College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (Q.Z.); (C.H.)
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Laodim T, Koonawootrittriron S, Elzo MA, Suwanasopee T, Jattawa D, Sarakul M. Genetic factors influencing milk and fat yields in tropically adapted dairy cattle: insights from quantitative trait loci analysis and gene associations. Anim Biosci 2024; 37:576-590. [PMID: 37946425 PMCID: PMC10915225 DOI: 10.5713/ab.23.0246] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 08/27/2023] [Accepted: 10/01/2023] [Indexed: 11/12/2023] Open
Abstract
OBJECTIVE The objective of this study was to identify genes associated with 305-day milk yield (MY) and fat yield (FY) that also influence the adaptability of the Thai multibreed dairy cattle population to tropical conditions. METHODS A total of 75,776 imputed and actual single nucleotide polymorphisms (SNPs) from 2,661 animals were used to identify genomic regions associated with MY and FY using the single-step genomic best linear unbiased predictions. Fixed effects included herd-yearseason, breed regression, heterosis regression and calving age regression effects. Random effects were animal additive genetic and residual. Individual SNPs with a p-value smaller than 0.05 were selected for gene mapping, function analysis, and quantitative trait loci (QTL) annotation analysis. RESULTS A substantial number of QTLs associated with MY (9,334) and FY (8,977) were identified by integrating SNP genotypes and QTL annotations. Notably, we discovered 17 annotated QTLs within the health and exterior QTL classes, corresponding to nine unique genes. Among these genes, Rho GTPase activating protein 15 (ARHGAP15) and catenin alpha 2 (CTNNA2) have previously been linked to physiological traits associated with tropical adaptation in various cattle breeds. Interestingly, these two genes also showed signs of positive selection, indicating their potential role in conferring tolerance to trypanosomiasis, a prevalent tropical disease. CONCLUSION Our findings provide valuable insights into the genetic basis of MY and FY in the Thai multibreed dairy cattle population, shedding light on the underlying mechanisms of tropical adaptation. The identified genes represent promising targets for future breeding strategies aimed at improving milk and fat production while ensuring resilience to tropical challenges. This study significantly contributes to our understanding of the genetic factors influencing milk production and adaptability in dairy cattle, facilitating the development of sustainable genetic selection strategies and breeding programs in tropical environments.
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Affiliation(s)
- Thawee Laodim
- Department of Animal Science, Faculty of Agriculture at Kamphaeng Saen, Kasetsart University Kamphaeng Saen Campus, Nakhon Pathom, 73140,
Thailand
- Tropical Animal Genetic Special Research Unit (TAGU), Kasetsart University, Bangkok, 10900,
Thailand
| | - Skorn Koonawootrittriron
- Tropical Animal Genetic Special Research Unit (TAGU), Kasetsart University, Bangkok, 10900,
Thailand
- Department of Animal Science, Faculty of Agriculture, Kasetsart University, Bangkok, 10900,
Thailand
| | - Mauricio A. Elzo
- Tropical Animal Genetic Special Research Unit (TAGU), Kasetsart University, Bangkok, 10900,
Thailand
- Department of Animal Sciences, University of Florida, Gainesville, 32611-0910, FL,
USA
| | - Thanathip Suwanasopee
- Tropical Animal Genetic Special Research Unit (TAGU), Kasetsart University, Bangkok, 10900,
Thailand
- Department of Animal Science, Faculty of Agriculture, Kasetsart University, Bangkok, 10900,
Thailand
| | - Danai Jattawa
- Tropical Animal Genetic Special Research Unit (TAGU), Kasetsart University, Bangkok, 10900,
Thailand
- Department of Animal Science, Faculty of Agriculture, Kasetsart University, Bangkok, 10900,
Thailand
| | - Mattaneeya Sarakul
- Tropical Animal Genetic Special Research Unit (TAGU), Kasetsart University, Bangkok, 10900,
Thailand
- Department of Animal Science, Faculty of Agriculture and Technology, Nakhon Phanom University, Nakhon Phanom, 48000,
Thailand
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Bayraktar M, Cebeci Z, Gökçe G. Analysing the genetic diversity and population structure of five native Turkish cattle breeds using SNP data. Reprod Domest Anim 2024; 59:e14545. [PMID: 38426375 DOI: 10.1111/rda.14545] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Revised: 01/30/2024] [Accepted: 02/15/2024] [Indexed: 03/02/2024]
Abstract
The conservation and sustainable utilization of cattle genetic resources necessitate a comprehensive understanding of their genetic diversity and population structure. This study provides an analysis of five native Turkish cattle breeds: Anatolian Black (ANB), Turkish Grey (TUR), Anatolian Southern Yellow (ASY), East Anatolian Red (EAR), and South Anatolian Red (SAN) using 50 K SNP data. These breeds were compared with three European breeds, Simmental (SIM), Holstein (HOL), and Jersey (JER), and three Asian Zebu breeds: Arabic Zebu (ZAR), Nelore (NEL), and Red Sindhi (RSI). Genetic diversity indices demonstrated moderate heterogeneity among the breeds, with TUR exhibiting the highest observed heterozygosity (Ho = 0.35). Wright's Fst values indicated significant genetic differentiation, particularly between Turkish breeds and both European (Fst = 0.035-0.071) and Asian breeds (Fst = 0.025-0.150). Principal component analysis distinguished the unique genetic profiles of each breed cluster. Admixture analysis revealed degrees of shared genetic ancestry, suggesting historical gene flow between Turkish, European, and Asian breeds. Analysis of molecular variance (AMOVA) attributed approximately 58% of the variation to population differences. Nei's genetic distances highlighted the closer genetic relatedness within Turkish breeds (distance ranges between 0.032 and 0.046) and suggested a more relative affinity of TUR with European breeds. The study's phylogenetic assessments elucidate the nuanced genetic relationships among these breeds, with runs of homozygosity (ROH) analysis indicating patterns of ancestral relatedness and moderate levels of inbreeding, particularly evident in Turkish breeds. Our findings provide valuable insights into the genetic landscape of Turkish cattle, offering a crucial foundation for informed conservation and breeding strategies aimed at preserving these breeds' genetic integrity and heritage.
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Affiliation(s)
- Mervan Bayraktar
- Division of Biometry and Genetics, Department of Animal Science, Faculty of Agriculture, Çukurova University, Adana, Turkey
| | - Zeynel Cebeci
- Division of Biometry and Genetics, Department of Animal Science, Faculty of Agriculture, Çukurova University, Adana, Turkey
| | - Gökhan Gökçe
- Division of Animal Husbandry and Breeding, Department of Animal Science, Faculty of Agriculture, Çukurova University, Adana, Turkey
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Nayak SS, Panigrahi M, Rajawat D, Ghildiyal K, Sharma A, Jain K, Bhushan B, Dutt T. Deciphering climate resilience in Indian cattle breeds by selection signature analyses. Trop Anim Health Prod 2024; 56:46. [PMID: 38233536 DOI: 10.1007/s11250-023-03879-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Accepted: 12/07/2023] [Indexed: 01/19/2024]
Abstract
The signature of selection is a crucial concept in evolutionary biology that refers to the pattern of genetic variation which arises in a population due to natural selection. In the context of climate adaptation, the signature of selection can reveal the genetic basis of adaptive traits that enable organisms to survive and thrive in changing environmental conditions. Breeds living in diverse agroecological zones exhibit genetic "footprints" within their genomes that mirror the influence of climate-induced selective pressures, subsequently impacting phenotypic variance. It is assumed that the genomes of animals residing in these regions have been altered through selection for various climatic adaptations. These regions are known as signatures of selection and can be identified using various summary statistics. We examined genotypic data from eight different cattle breeds (Gir, Hariana, Kankrej, Nelore, Ongole, Red Sindhi, Sahiwal, and Tharparkar) that are adapted to diverse regional climates. To identify selection signature regions in this investigation, we used four intra-population statistics: Tajima's D, CLR, iHS, and ROH. In this study, we utilized Bovine 50 K chip data and four genome scan techniques to assess the genetic regions of positive selection for high-temperature adaptation. We have also performed a genome-wide investigation of genetic diversity, inbreeding, and effective population size in our target dataset. We identified potential regions for selection that are likely to be caused by adverse climatic conditions. We observed many adaptation genes in several potential selection signature areas. These include genes like HSPB2, HSPB3, HSP20, HSP90AB1, HSF4, HSPA1B, CLPB, GAP43, MITF, and MCHR1 which have been reported in the cattle populations that live in varied climatic regions. The findings demonstrated that genes involved in disease resistance and thermotolerance were subjected to intense selection. The findings have implications for marker-assisted breeding, understanding the genetic landscape of climate-induced adaptation, putting breeding and conservation programs into action.
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Affiliation(s)
- Sonali Sonejita Nayak
- Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly, 243122, UP, India
| | - Manjit Panigrahi
- Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly, 243122, UP, India.
| | - Divya Rajawat
- Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly, 243122, UP, India
| | - Kanika Ghildiyal
- Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly, 243122, UP, India
| | - Anurodh Sharma
- Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly, 243122, UP, India
| | - Karan Jain
- Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly, 243122, UP, India
| | - Bharat Bhushan
- Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly, 243122, UP, India
| | - Triveni Dutt
- Livestock Production and Management Section, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, 243122, UP, India
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Wang Y, Ma J, Wang J, Zhang L, Hu J, Ma M, Xu L, Chen Y, Zhu B, Wang Z, Gao H, Li J, Gao X. Genetic Origin and Introgression Pattern of Pingliang Red Cattle Revealed Using Genome-Wide SNP Analyses. Genes (Basel) 2023; 14:2198. [PMID: 38137021 PMCID: PMC10743310 DOI: 10.3390/genes14122198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 12/04/2023] [Accepted: 12/08/2023] [Indexed: 12/24/2023] Open
Abstract
The Pingliang red cattle, an outstanding indigenous resource in China, possesses an exceptional breeding value attributed to its tender meat and superior marbling quality. Currently, research efforts have predominantly concentrated on exploring its maternal origin and conducting conventional phenotypic studies. However, there remains a lack of comprehensive understanding regarding its genetic basis. To address this gap, we conducted a thorough whole-genome analysis to investigate the population structure, phylogenetic relationships, and gene flows of this breed using genomic SNP chip data from 17 bovine breeds. The results demonstrate that Pingliang red cattle have evolved distinct genetic characteristics unique to this breed, clearly distinguishing it from other breeds. Based on the analysis of the population structure and phylogenetic tree, it can be classified as a hybrid lineage between Bos taurus and Bos indicus. Furthermore, Pingliang red cattle display a more prominent B. taurus pedigree in comparison with Jinnan, Qinchuan, Zaosheng, Nanyang, and Luxi cattle. Moreover, this study also revealed closer genetic proximity within the Chinese indigenous cattle breed, particularly Qinchuan cattle, which shares the longest identical by descent (IBD) fragment with Pingliang red cattle. Gene introgression analysis shows that Pingliang red cattle have undergone gene exchange with South Devon and Red Angus cattle from Europe. Admixture analysis revealed that the proportions of East Asian taurine and Chinese indicine in the ancestry of Pingliang red cattle are approximately 52.44% and 21.00%, respectively, while Eurasian taurine, European taurine, and Indian indicine account for approximately 17.55%, 7.27%, and 1.74%. Our findings unveil distinct genetic characteristics in Pingliang red cattle and attribute their origin to B. taurus and B. indicus ancestry, as well as contributions from Qinchuan cattle, South Devon, and Red Angus.
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Affiliation(s)
- Yuanqing Wang
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (Y.W.)
| | - Jun Ma
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (Y.W.)
| | - Jing Wang
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (Y.W.)
| | - Lupei Zhang
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (Y.W.)
| | - Junwei Hu
- Academy of Pingliang Red Cattle, 492 South Ring Road, Kongtong District, Pingliang 744000, China
| | - Minghao Ma
- Academy of Pingliang Red Cattle, 492 South Ring Road, Kongtong District, Pingliang 744000, China
| | - Lingyang Xu
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (Y.W.)
| | - Yan Chen
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (Y.W.)
| | - Bo Zhu
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (Y.W.)
| | - Zezhao Wang
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (Y.W.)
| | - Huijiang Gao
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (Y.W.)
| | - Junya Li
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (Y.W.)
| | - Xue Gao
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (Y.W.)
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Liu X, Chen J, Xu X, Liu J, Zhang J, Cheng H, Ahmed Z, Huang B, Lei C. A missense mutation of the WNK1 gene affects cold tolerance in Chinese domestic cattle. Anim Biotechnol 2023; 34:4803-4808. [PMID: 37079337 DOI: 10.1080/10495398.2023.2196316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/21/2023]
Abstract
Inclement weather conditions, especially cold stress, have threatened the cattle industry. Cattle exposed to cold environments for a longer time suffer developmental delay, immunity decline, and eventually death. WNK1 is a member of With-no-lysine kinases (WNKs), widely expressed in animal organs and tissues. WNK1 and WNK4 are expressed in adipose tissue, and WNK4 promotes adipogenesis. WNK1 does not directly affect adipogenesis but has been shown to promote WNK4 expression in several tissues or organs. One missense mutation NC_037346.1:g.107692244, A > G, rs208265410 in the WNK1 gene was detected from the database of bovine genomic variation (BGVD). Here, we collected 328 individuals of 17 breeds representing four groups of Chinese cattle, northern group cattle, southern group cattle, central group cattle, and special group cattle (Tibetan cattle). We also collected the temperature and humidity data records from their relative locations. The frequencies of the G allele in Chinese breeds increased from northern China to southern China, and the frequencies of the A allele showed an opposite trend. Our results indicate that the WNK1 gene might be a candidate gene marker associated with cold tolerance.
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Affiliation(s)
- Xin Liu
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 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, China
| | - Xinlong Xu
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Jianyong Liu
- Yunnan Academy of Grassland and Animal Science, Kunming, China
| | - Jicai Zhang
- Yunnan Academy of Grassland and Animal Science, Kunming, China
| | - Haijian Cheng
- Shandong Key Lab of Animal Disease Control and Breeding, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan, China
| | - Zulfiqar Ahmed
- Faculty of Veterinary and Animal Sciences, University of Poonch Rawalakot Azad Jammu and Kashmir Pakistan, Rawalakot, Pakistan
| | - Bizhi Huang
- Yunnan Academy of Grassland and Animal Science, Kunming, China
| | - Chuzhao Lei
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China
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Zeng L, Li A, Qu K, Zhang J, Huang B, Lei C. TRPM4 gene variation associated with climatic conditions in Chinese cattle. Anim Biotechnol 2023; 34:3256-3260. [PMID: 35994677 DOI: 10.1080/10495398.2022.2112686] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
The transient receptor potential (TRP) superfamily has been reported to play an important role in heat tolerance pathways. Based on the Bovine Genome Variation Database and Selective Signatures, a missense mutation (NC_037345.1: c.2237A > G: p. His746Arg) (rs209689836) was identified in the transient receptor potential cation channel subfamily M member 4 (TRPM4) gene, a member of the TRP family, corresponding to heat tolerance. Here, we explored the prevalence of this variant in 19 native Chinese cattle (comprised of 404 individuals) to determine its possible association with heat tolerance in Chinese cattle by using PCR and DNA sequencing. The distribution of alleles of NC_037345.1: c.2237A > G: p. His746Arg displays significant geographical differences across native Chinese cattle breeds, consistent with the distribution of indicine and taurine cattle in China. Additionally, the association analysis indicated that the G allele was significantly associated with mean annual temperature (T), relative humidity (RH) and temperature humidity index (THI) (p < .05), suggesting that cattle carrying allele G were distributed in regions with higher T, RH, and THI. In conclusion, our results suggested that the mutation of the TRPM4 gene in Chinese cattle might be a candidate locus associated with heat tolerance.
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Affiliation(s)
- LuLan Zeng
- College of Life Sciences, Northwest A&F University, Yangling, China
| | - AiXin Li
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Kaixing Qu
- Yunnan Academy of Grassland and Animal Science, Kunming, China
| | - Jicai Zhang
- Yunnan Academy of Grassland and Animal Science, Kunming, China
| | - Bizhi Huang
- Yunnan Academy of Grassland and Animal Science, Kunming, China
| | - Chuzhao Lei
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China
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17
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Yang X, Qu K, Liu J, Qi X, Li F, Zhang J, Huang B, Lei C. A missense mutation (rs209302038) of KRT9 gene associated with heat stress in Chinese cattle. Anim Biotechnol 2023; 34:1876-1882. [PMID: 35323100 DOI: 10.1080/10495398.2022.2053697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
Type I keratin 9 encoded by the KRT9 gene serves an important special function either in the mature palmar and plantar skin tissue. The changes in skin conditions and thickening of the outer layer of the skin may be affected by environmental variables. A missense mutation rs209302038 (NC_037346.1: g.41782870 G > A) was detected in KRT9, which changing the isoleucine into valine. This study aimed to identify the frequency of allele in this locus in Chinese indigenous cattle, and analyze the connection with heat stress. Our results indicated that the frequency of allele A gradually decreases from south to north, while the frequency of G allele showed the opposite pattern. Further analysis of the association of the different genotypes with three climate factors, which showed that the genotypes (GG, GA, AA) were significantly related to climatic conditions (p < 0.01). Therefore, we speculated that the mutation of the rs209302038 in Chinese indigenous cattle might be a genetic marker to detect heat stress.
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Affiliation(s)
- Xueyi Yang
- Life Science College, Luoyang Normal University, Luoyang, China
| | - Kaixing Qu
- Academy of Science and Technology, Chuxiong Normal University, Chuxiong, China
| | - Jianyong Liu
- Yunnan Academy of Grassland and Animal Science, Kunming, China
| | - Xinglei Qi
- Biyang Xianan Cattle Technology and Development Company Ltd, Biyang, China
| | - Fuqiang Li
- Hunan Tianhua Industrial Corporation Ltd, Lianyuan, China
| | - Jicai Zhang
- Yunnan Academy of Grassland and Animal Science, Kunming, China
| | - Bizhi Huang
- Yunnan Academy of Grassland and Animal Science, Kunming, China
| | - Chuzhao Lei
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China
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18
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Ma X, Liu Y, Sun L, Hanif Q, Qu K, Liu J, Zhang J, Huang B, Lei C. A novel SNP of TECPR2 gene associated with heat tolerance in Chinese cattle. Anim Biotechnol 2023; 34:1050-1057. [PMID: 34877906 DOI: 10.1080/10495398.2021.2011305] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Heat stress affects the animal production and causes serious economic losses to the husbandry. Tectonin beta-propeller repeat containing 2 (TECPR2) gene plays an important role in autophagy which may affect the temperature sensation in animals. A missense mutation (XM_024981840.1:c.3989 G > A p.Arg1330His) of the transcripts X4 in the bovine TECPR2 gene was identified. In this study, the c.3989 G > A variant in TECPR2 gene was genotyped in a total of 25 cattle breeds (520 individuals). Our results indicated that the frequency of A allele showed a decreasing pattern from southern cattle to northern cattle, while the frequency of G allele showed the opposite pattern, which was consistent with the climate distribution of China. Compared with the GG genotype, southern cattle carried more the AA and AG genotypes. Furthermore, the association results carried out that the frequencies of genotypes (GG, AG, AA) and the value of climate parameters (mean annual temperature (T), relative humidity (RH) and temperature humidity index (THI) were significantly correlated (p < 0.01). Hence, we speculated that the c.3989 G > A variant of TECPR2 gene was associated with the heat tolerance trait in Chinese cattle and the locus may be considered as a molecular marker for Chinese cattle breeding.
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Affiliation(s)
- Xiaohui Ma
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Yangkai Liu
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Luyang Sun
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Quratulain Hanif
- National Institute for Biotechnology and Genetic Engineering, Faisalabad, Pakistan
| | - Kaixing Qu
- Academy of Science and Technology, Chuxiong Normal University, Chuxiong, Yunnan, China
| | - Jianyong Liu
- Yunnan Academy of Grassland and Animal Science, Kunming, China
| | - Jicai Zhang
- Yunnan Academy of Grassland and Animal Science, Kunming, China
| | - Bizhi Huang
- Yunnan Academy of Grassland and Animal Science, Kunming, China
| | - Chuzhao Lei
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
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Jakaria J, Kholijah K, Darwati S, Rahman Q, Daulay WL, Suhendro I, Londra IM, Ulum MF, Noor RR. Open AccessLack of association between coat color abnormalities in Bali cattle ( Bos javanicus) and the coding regions of the MC1R and KIT genes. Vet World 2023; 16:1312-1318. [PMID: 37577199 PMCID: PMC10421557 DOI: 10.14202/vetworld.2023.1312-1318] [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: 01/31/2023] [Accepted: 05/18/2023] [Indexed: 08/15/2023] Open
Abstract
Background and Aim Coat color variations in cattle are known to be influenced by the melanocortin 1 receptor (MC1R) and receptor tyrosine kinase (KIT) genes. The presence of coat color abnormalities, such as white spots and albinism, in Bali cattle was the focus of this study. This study aimed to identify single nucleotide polymorphisms (SNPs) in the coding region of MC1R and exons 2 and 3 of KIT associated with coat color abnormalities in Bali cattle. Materials and Methods The study included the analysis of 48 Bali cattle, including 20 individuals with standard coat color, 15 with white spots, and 13 with albinism. Total DNA was extracted using a DNA Extraction Kit, and MC1R (coding region) and KIT (exons 2 and 3) gene amplifications were analyzed using forward and reverse primers with polymerase chain reaction product lengths of 1071, 234, and 448 bp, respectively. The determination of MC1R and KIT gene diversity was analyzed through direct sequencing. Melanocortin 1 receptor and KIT gene sequence data were analyzed using BioEdit and MEGA6 to identify SNPs associated with standard and abnormal coat color phenotypes (white-spotted and albino) in Bali cattle. Results No SNPs associated with coat color abnormalities were found in the coding region of MC1R and exons 2 and 3 of KIT genes in Bali cattle. However, the intron two regions of KIT contained the SNP g.70208534A>G, which showed a high degree of diversity. The AA genotype frequency was highest in albino Bali cattle, whereas the G allele frequency was highest and the A allele frequency was lowest in white-spotted Bali cattle. Conclusion The results indicated that standard, white-spotted, and albino coat colors in Bali cattle could not be distinguished by analyzing the MC1R and KIT genes.
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Affiliation(s)
- Jakaria Jakaria
- Department of Animal Production and Technology, Faculty of Animal Science, IPB University (Bogor Agricultural University), Bogor 16680, Indonesia
| | - Kholijah Kholijah
- Department of Animal Production and Technology, Faculty of Animal Science, IPB University (Bogor Agricultural University), Bogor 16680, Indonesia
| | - Sri Darwati
- Department of Animal Production and Technology, Faculty of Animal Science, IPB University (Bogor Agricultural University), Bogor 16680, Indonesia
| | - Qonita Rahman
- Department of Animal Production and Technology, Faculty of Animal Science, IPB University (Bogor Agricultural University), Bogor 16680, Indonesia
| | - Winni Liani Daulay
- Department of Animal Production and Technology, Faculty of Animal Science, IPB University (Bogor Agricultural University), Bogor 16680, Indonesia
| | - Ikhsan Suhendro
- Department of Animal Production and Technology, Faculty of Animal Science, IPB University (Bogor Agricultural University), Bogor 16680, Indonesia
| | - I. Made Londra
- Agricultural Technology Study Center (BPTP), JL. By Pass Ngurah Rai, Pesanggaran, Denpasar Selatan 80222, Bali, Indonesia
| | - Mokhamad Fakhrul Ulum
- Division of Reproduction and Obstetrics, School of Veterinary Medicine and Biomedical Sciences, IPB University (Bogor Agricultural University), Bogor 16680, Indonesia
| | - Ronny Rachman Noor
- Department of Animal Production and Technology, Faculty of Animal Science, IPB University (Bogor Agricultural University), Bogor 16680, Indonesia
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Xia X, Qu K, Wang Y, Sinding MHS, Wang F, Hanif Q, Ahmed Z, Lenstra JA, Han J, Lei C, Chen N. Global dispersal and adaptive evolution of domestic cattle: a genomic perspective. STRESS BIOLOGY 2023; 3:8. [PMID: 37676580 PMCID: PMC10441868 DOI: 10.1007/s44154-023-00085-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Accepted: 03/26/2023] [Indexed: 09/08/2023]
Abstract
Domestic cattle have spread across the globe and inhabit variable and unpredictable environments. They have been exposed to a plethora of selective pressures and have adapted to a variety of local ecological and management conditions, including UV exposure, diseases, and stall-feeding systems. These selective pressures have resulted in unique and important phenotypic and genetic differences among modern cattle breeds/populations. Ongoing efforts to sequence the genomes of local and commercial cattle breeds/populations, along with the growing availability of ancient bovid DNA data, have significantly advanced our understanding of the genomic architecture, recent evolution of complex traits, common diseases, and local adaptation in cattle. Here, we review the origin and spread of domestic cattle and illustrate the environmental adaptations of local cattle breeds/populations.
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Affiliation(s)
- Xiaoting Xia
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Kaixing Qu
- Academy of Science and Technology, Chuxiong Normal University, Chuxiong, 675000, China
| | - Yan Wang
- Qingdao Municipal Bureau of Agriculture and Rural Affairs, Qingdao, 266000, China
| | - Mikkel-Holger S Sinding
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, 1350, Denmark
| | - Fuwen Wang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Quratulain Hanif
- National Institute for Biotechnology and Genetic Engineering, Faisalabad, Pakistan
| | - Zulfiqar Ahmed
- Faculty of Veterinary and Animal Sciences, University of Poonch Rawalakot, Azad Jammu and Kashmir, 12350, Pakistan
| | - Johannes A Lenstra
- Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | - Jianlin Han
- Livestock Genetic Program, International Livestock Research Institute (ILRI), Nairobi, 00100, Kenya
- CAAS-ILRI Joint Laboratory On Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100193, China
| | - Chuzhao Lei
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China.
| | - Ningbo Chen
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China.
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21
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Bhardwaj S, Singh S, Ganguly I, Bhatia AK, Dixit SP. Deciphering local adaptation of native Indian cattle ( Bos indicus) breeds using landscape genomics and in-silico prediction of deleterious SNP effects on protein structure and function. 3 Biotech 2023; 13:86. [PMID: 36816754 PMCID: PMC9931982 DOI: 10.1007/s13205-023-03493-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 01/25/2023] [Indexed: 02/19/2023] Open
Abstract
India has 50 registered breeds of native cattle (Bos indicus) which are locally adapted to diverse environmental conditions. This study aimed to investigate the genomic basis of adaptation of native Indian cattle and to predict the impact of key SNPs on the amino acid changes that affect protein function. The Illumina 777 K BovineHD BeadChip was used to genotype 178 native cattle belonging to contrasting landscapes and agro-climatic conditions. The genotype-environment association was investigated with R. SamBada, using 5,74,382 QC passed SNPs and 11 predictor variables (10 multi-collinearity controlled environmental variables and 1 variable as "score of PCA" on ancestry coefficients of individuals). In total, 1,12,780 models were selected as significant (q < 0.05) based on G score. The pathway ontology of the annotated genes revealed many important pathways and genes having a direct and indirect role in cold and hot adaptation. Only ten SNP variants had a SIFT score of < 0.05 (deleterious), and only two of them, each lying in the genes CRYBA1 and USP18, were predicted to be deleterious with high confidence. RaptorX predicted the tertiary structures of proteins encoded by wild and mutant variants of these genes. The quality of the models was determined using Ramachandran plots and RaptorX parameters, indicating that they are accurate. RaptorX and I-Mutant 2.0 softwares revealed significant differences among wild and mutant proteins. Adaptive alleles identified in the present investigation might be responsible for the local adaptation of these cattle breeds. Supplementary Information The online version contains supplementary material available at 10.1007/s13205-023-03493-3.
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Affiliation(s)
- Shivam Bhardwaj
- Animal Genetics and Breeding Division, ICAR-National Dairy Research Institute, Karnal, 132001 India
| | - Sanjeev Singh
- Animal Genetics Division, ICAR-National Bureau of Animal Genetic Resources, Karnal, Haryana 132001 India
| | - Indrajit Ganguly
- Animal Genetics Division, ICAR-National Bureau of Animal Genetic Resources, Karnal, Haryana 132001 India
| | - Avnish Kumar Bhatia
- Animal Genetics Division, ICAR-National Bureau of Animal Genetic Resources, Karnal, Haryana 132001 India
| | - S. P. Dixit
- Animal Genetics Division, ICAR-National Bureau of Animal Genetic Resources, Karnal, Haryana 132001 India
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22
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Hosseini MJ, Arabiyan A, Mobassem S, Ghavimi H. Metformin attenuates depressive-like behaviour of methamphetamine withdrawal in mice: A mechanistic approach. World J Biol Psychiatry 2023; 24:209-222. [PMID: 35673936 DOI: 10.1080/15622975.2022.2086294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
OBJECTIVES Methamphetamine (METH) as a potent psychostimulant drug with a high potency of dependence rate that results in neurotoxicity has become a major drug of abuse in many parts of the world. Unfortunately, there is limited evidence regarding treatment of METH withdrawal syndrome. Therefore, we aimed to investigate whether metformin mitigate the methamphetamine (METH) withdrawal syndrome in male mice. Based on the literature, depression and anxiety are the major METH withdrawal symptoms. METHODS Here, METH (2 mg/kg) was administered to mice twice a day for 14 constitutive days to induce animal model of METH-induced withdrawal syndrome. To do this, mice in control group and those with METH withdrawal syndrome were divided into treatment (receiving metformin in 3 doses of 50, 100 and 200 mg/kg for 10 days) and non-treatment sub-groups. Following the behavioural test, the animals were sacrificed; their hippocampus was dissected to measure oxidative stress parameters and expression of cellular energy homeostasis and immune-inflammatory genes. RESULTS Our data revealed that metformin provoked antidepressant effects in behavioural tests through AMPK overexpression as an important mitochondrial energetic sensor and inhibition of Tlr4 overexpression in the immune system gene expression. In addition, metformin was able to improve oxidative stress biomarkers and neuronal damage in the hippocampus and restore cellular energy homeostasis and immune system gene expression. CONCLUSIONS The data suggested that metformin can influence the hippocampus through targeting mitochondria and their performance, and consequently, neuroinflammation responses and brain metabolic changes. It is supposed to be a new therapeutic option in clinical trials of depression and anxiety following METH withdrawal treatment.
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Affiliation(s)
- Mir-Jamal Hosseini
- Zanjan Applied Pharmacology Research Center, Zanjan University of Medical Sciences, Zanjan, Iran.,Departments of Pharmacology and Toxicology, School of Pharmacy, Zanjan University of Medical Sciences, Zanjan, Iran
| | - Aisan Arabiyan
- Zanjan Applied Pharmacology Research Center, Zanjan University of Medical Sciences, Zanjan, Iran.,Departments of Pharmacology and Toxicology, School of Pharmacy, Zanjan University of Medical Sciences, Zanjan, Iran
| | - Sina Mobassem
- Zanjan Applied Pharmacology Research Center, Zanjan University of Medical Sciences, Zanjan, Iran.,Departments of Pharmacology and Toxicology, School of Pharmacy, Zanjan University of Medical Sciences, Zanjan, Iran
| | - Hamed Ghavimi
- Zanjan Applied Pharmacology Research Center, Zanjan University of Medical Sciences, Zanjan, Iran.,Departments of Pharmacology and Toxicology, School of Pharmacy, Zanjan University of Medical Sciences, Zanjan, Iran
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23
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Naji MM, Jiang Y, Utsunomiya YT, Rosen BD, Sölkner J, Wang C, Jiang L, Zhang Q, Zhang Y, Ding X, Mészáros G. Favored single nucleotide variants identified using whole genome Re-sequencing of Austrian and Chinese cattle breeds. Front Genet 2022; 13:974787. [PMID: 36238155 PMCID: PMC9552183 DOI: 10.3389/fgene.2022.974787] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Accepted: 08/29/2022] [Indexed: 11/25/2022] Open
Abstract
Cattle have been essential for the development of human civilization since their first domestication few thousand years ago. Since then, they have spread across vast geographic areas following human activities. Throughout generations, the cattle genome has been shaped with detectable signals induced by various evolutionary processes, such as natural and human selection processes and demographic events. Identifying such signals, called selection signatures, is one of the primary goals of population genetics. Previous studies used various selection signature methods and normalized the outputs score using specific windows, in kbp or based on the number of SNPs, to identify the candidate regions. The recent method of iSAFE claimed for high accuracy in pinpointing the candidate SNPs. In this study, we analyzed whole-genome resequencing (WGS) data of ten individuals from Austrian Fleckvieh (Bos taurus) and fifty individuals from 14 Chinese indigenous breeds (Bos taurus, Bos taurus indicus, and admixed). Individual WGS reads were aligned to the cattle reference genome of ARS. UCD1.2 and subsequently undergone single nucleotide variants (SNVs) calling pipeline using GATK. Using these SNVs, we examined the population structure using principal component and admixture analysis. Then we refined selection signature candidates using the iSAFE program and compared it with the classical iHS approach. Additionally, we run Fst population differentiation from these two cattle groups. We found gradual changes of taurine in north China to admixed and indicine to the south. Based on the population structure and the number of individuals, we grouped samples to Fleckvieh, three Chinese taurines (Kazakh, Mongolian, Yanbian), admixed individuals (CHBI_Med), indicine individuals (CHBI_Low), and a combination of admixed and indicine (CHBI) for performing iSAFE and iHS tests. There were more significant SNVs identified using iSAFE than the iHS for the candidate of positive selection and more detectable signals in taurine than in indicine individuals. However, combining admixed and indicine individuals decreased the iSAFE signals. From both within-population tests, significant SNVs are linked to the olfactory receptors, production, reproduction, and temperament traits in taurine cattle, while heat and parasites tolerance in the admixed individuals. Fst test suggests similar patterns of population differentiation between Fleckvieh and three Chinese taurine breeds against CHBI. Nevertheless, there are genes shared only among the Chinese taurine, such as PAX5, affecting coat color, which might drive the differences between these yellowish coated breeds, and those in the greater Far East region.
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Affiliation(s)
- Maulana M. Naji
- University of Natural Resources and Life Sciences, Vienna, Austria
| | - Yifan Jiang
- China Agricultural University, Beijing, China
| | - Yuri T. Utsunomiya
- Department of Production and Animal Health, School of Veterinary Medicine, São Paulo State University (Unesp), Araçatuba, Brazil
| | - Benjamin D. Rosen
- Animal Genomics and Improvement Laboratory, USDA‐ARS, Beltsville, MD, United States
| | - Johann Sölkner
- University of Natural Resources and Life Sciences, Vienna, Austria
| | | | - Li Jiang
- China Agricultural University, Beijing, China
| | - Qin Zhang
- China Agricultural University, Beijing, China
| | - Yi Zhang
- China Agricultural University, Beijing, China
| | - Xiangdong Ding
- China Agricultural University, Beijing, China
- *Correspondence: Xiangdong Ding, ; Gábor Mészáros,
| | - Gábor Mészáros
- University of Natural Resources and Life Sciences, Vienna, Austria
- *Correspondence: Xiangdong Ding, ; Gábor Mészáros,
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24
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Genomic inbreeding and runs of homozygosity analysis of indigenous cattle populations in southern China. PLoS One 2022; 17:e0271718. [PMID: 36006904 PMCID: PMC9409551 DOI: 10.1371/journal.pone.0271718] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Accepted: 07/06/2022] [Indexed: 11/19/2022] Open
Abstract
Runs of homozygosity (ROH) are continuous homozygous segments from the common ancestor of parents. Evaluating ROH pattern can help to understand inbreeding level and genetic basis of important traits. In this study, three representative cattle populations including Leiqiong cattle (LQC), Lufeng cattle (LFC) and Hainan cattle (HNC) were genotyped using the Illumina BovineHD SNPs array (770K) to assess ROH pattern at genome wide level. Totally, we identified 26,537 ROH with an average of 153 ROH per individual. The sizes of ROH ranged from 0.5 to 53.26Mb, and the average length was 1.03Mb. The average of FROH ranged from 0.10 (LQC) to 0.15 (HNC). Moreover, we identified 34 ROH islands (with frequency > 0.5) across genome. Based on these regions, we observed several breed-specific candidate genes related to adaptive traits. Several common genes related to immunity (TMEM173, MZB1 and SIL1), and heat stress (DNAJC18) were identified in all three populations. Three genes related to immunity (UGP2), development (PURA) and reproduction (VPS54) were detected in both HNC and LQC. Notably, we identified several breed-specific genes related to sperm development (BRDT and SPAG6) and heat stress (TAF7) in HNC, and immunity (CDC23 and NME5) and development (WNT87) in LFC. Our findings provided valuable insights into understanding the genomic homozygosity pattern and promoting the conservation of genetic resources of Chinese indigenous cattle.
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25
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Cloning and Expression Analysis of HAT1 and HDAC1 in the Testes of Mature Yaks and Their Sterile Hybrids. Animals (Basel) 2022; 12:ani12162018. [PMID: 36009610 PMCID: PMC9404429 DOI: 10.3390/ani12162018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Revised: 08/04/2022] [Accepted: 08/05/2022] [Indexed: 11/22/2022] Open
Abstract
Simple Summary Cattle-yak is the hybrid between male cattle (Bos taurus) and female yak (Bos grunniens). Male cattle-yak can not produce normal sperm. The mechanisms that underlie cattle-yak male sterility have not been elucidated. Histone acetylation is a common regulation mode that plays an important role in the development of gametes. The objective of this study was to explore the molecular mechanism of male sterility in yak hybrids based on histone acetyltransferase 1 (HAT1) and histone deacetylase 1 (HDAC1), two enzymes that regulate histone acetylation. The mRNA and protein expression levels of HAT1 in the testes of adult cattle-yaks were significantly lower than in adult yaks, and the protein expression levels of HDAC1 were significantly higher than in yaks. In addition, H3K9 acetylation levels in cattle-yak testes were significantly lower than in yaks. These results suggest that male sterility in cattle-yaks might be associated with decreased histone acetylation levels in the testes. Abstract The objective of this study was to explore the molecular mechanism of male sterility in yak hybrids based on HAT1 and HDAC1. Total RNA was extracted from the testes of adult yaks (n = 11) and sterile cattle-yaks (n = 11) followed by reverse transcription. The coding sequence (CDS) of yak HAT1 and HDAC1 were obtained by conventional polymerase chain reaction (PCR) and gene cloning. The testicular mRNA and protein levels of HAT1 and HDAC1 in yaks and cattle-yaks were detected by quantitative PCR (qPCR) and Western blotting, respectively, and the histone H3 lysine 9 (H3K9) histone acetylation level in the testes of yaks and cattle-yaks was assayed using enzyme linked immunosorbent assay (ELISA). The results showed that the CDS of HAT1 and HDAC1 were 1242 bp and 1449 bp in length, encoding 413 and 482 amino acids, respectively; yaks had a similar mRNA sequence as cattle in both genes. The testicular mRNA and protein levels of HAT1 of cattle-yaks were significantly lower than those of yaks, and the protein level of HDAC1 was significantly higher than that of yaks. ELISA showed that the acetylation level of testicular H3K9 was significantly lower in yak hybrids than that of yaks. The present results suggest that the decreased level of HAT1 and increased level of HDAC1 may result in the decreased H3K9 acetylation in cattle-yaks and might be associated with their sterility.
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26
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Li R, Chen S, Li C, Xiao H, Costa V, Bhuiyan MSA, Baig M, Beja-Pereira A. Whole-Genome Analysis Deciphers Population Structure and Genetic Introgression Among Bovine Species. Front Genet 2022; 13:847492. [PMID: 35711941 PMCID: PMC9197319 DOI: 10.3389/fgene.2022.847492] [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: 01/02/2022] [Accepted: 04/13/2022] [Indexed: 11/13/2022] Open
Abstract
It is known that throughout history and presently, taurine (Bos taurus) and indicine/zebu (Bos indicus) cattle were crossed with other bovine species (e.g., gayal, gaur, banteng, yak, wisent, and bison). Information on the role of interspecific hybridization to facilitate faster adaptation of the newly arrived domestic species to new environments is poorly known. Herein, we collected 266 samples of bovine species of the taurine, zebu, yak, and gaur from West Europe, Southwest China, Indian subcontinent, and Southeast Asia to conduct the principal component analysis (PCA), admixture, gene flow, and selection signature analyses by using SNPs distributed across the bovine autosomes. The results showed that the genetic relationships between the zebu, yak, and gaur mirrored their geographical origins. Three ancestral components of the European taurine, East Asian taurine, and Indian zebu were found in domestic cattle, and the bidirectional genetic introgression between the Diqing cattle and Zhongdian yak was also detected. Simultaneously, the introgressed genes from the Zhongdian yak to the Diqing cattle were mainly enriched with immune-related pathways, and the ENPEP, FLT1, and PIK3CA genes related to the adaptation of high-altitude hypoxia were detected. Additionally, we found the genetic components of the Zhongdian yak had introgressed into Tibetan cattle. The 30 selected genes were detected in Tibetan cattle, which were significantly enriched in the chemokine signaling pathway. Interestingly, some genes (CDC42, SLC39A2, and EPAS1) associated with hypoxia response were discovered, in which CDC42 and SLC39A2 played important roles in angiogenesis and erythropoiesis, and heart function, respectively. This result showed that genetic introgression was one of the important ways for the environmental adaptation of domestic cattle.
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Affiliation(s)
- Rong Li
- School of Ecology and Environmental Science, Yunnan University, Kunming, China.,College of Life Science, Yunnan Normal University, Kunming, China
| | - Shanyuan Chen
- School of Ecology and Environmental Science, Yunnan University, Kunming, China
| | - Chunqing Li
- School of Ecology and Environmental Science, Yunnan University, Kunming, China
| | - Heng Xiao
- School of Ecology and Environmental Science, Yunnan University, Kunming, China
| | - Vânia Costa
- Centro de Investigação em Biodiversidade e Recursos Genéticos (CIBIO-InBIO), Universidade do Porto, Vairão, Portugal
| | | | - Mumtaz Baig
- Department of Zoology, Government Vidarbha Institute of Science and Humanities, Amravati, India
| | - Albano Beja-Pereira
- Centro de Investigação em Biodiversidade e Recursos Genéticos (CIBIO-InBIO), Universidade do Porto, Vairão, Portugal.,Ambiente e Ordenamento do Território (DGAOT), Faculdade de Ciências, Universidade do Porto, Porto, Portugal.,Sustainable Agrifood Production Research Centre (GreenUPorto), University of Porto, Vairão, Portugal
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27
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Ding C, Ma J, Yan H, Meng Y, Qi X, Qu K, Li F, Zhang J, Zhuzha B, Quji S, Chen N, Huang B, Lei C. Distribution of a missense mutation (rs525805167) within the SLC45A2 gene associated with climatic conditions in Chinese cattle. Gene X 2022; 835:146643. [PMID: 35710082 DOI: 10.1016/j.gene.2022.146643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Revised: 05/05/2022] [Accepted: 06/02/2022] [Indexed: 11/25/2022] Open
Abstract
SLC45A2 is involved in the synthesis of melanin transporters. We investigated the association between single nucleotide polymorphisms (SNPs) of the SLC45A2 gene and humidity and hot conditions in indigenous cattle habitat. According to the Bovine Genome Variation Database and Selective Signatures (BGVD), we explored the frequency distribution of a missense mutation (NC_037347.1: c.1543A > G, p.ser515gly) in the SLC45A2 gene in Chinese indigenous cattle. This variation from serine to glycine caused a significant change in the protein modeling structure. PCR and partial DNA sequencing were used to genotype 541 individuals, including 28 Chinese indigenous cattle breeds as well as Angus and zebu. From our results, the mutant allele frequency of this SNP in Chinese native cattle increases gradually from north to south, which is consistent with the distribution of climatic conditions in China. In addition, according to association analysis of a missense mutation (NC_037347.1: c.1543A > G) (rs525805167) in Chinese cattle, it is closely related to the annual average temperature (T), relative humidity (RH), temperature and humidity index (THI) and solar radiation time (P < 0.01). Based on the statistical analysis of the data, we assumed that rs525805167 was associated with heat tolerance traits. Simple Summary: The characteristics of Chinese indigenous cattle are closely related to their climatic environment. In China, Bos taurus is mainly distributed in the northern regions; Bos indicus is mainly distributed in southern China. In addition, the average temperature is higher in the south than in the north, and there are many mixed ancestry breeds of B. taurus and B. indicus in the middle area. The SLC45A2 gene is related to melanin synthesis, which may be closely related to heat tolerance in cattle. The purpose of our study was to investigate whether the SLC45A2 gene is related to heat tolerance in Chinese indigenous cattle.
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Affiliation(s)
- Cong Ding
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Junlin Ma
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Huixuan Yan
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Yizhu Meng
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Xinglei Qi
- Bureau of Animal Husbandry of Biyang County, Biyang, China
| | - Kaixing Qu
- Academy of Science and Technology, Chuxiong Normal University, Chuxiong, Yunnan 675000, China
| | - Fuqiang Li
- Hunan Tianhua Industrial Corporation Ltd., Lianyuan, China
| | - Jicai Zhang
- Yunnan Academy of Grassland and Animal Science, Kunming, China
| | - Basang Zhuzha
- Institute of Animal Husbandry and Veterinary Science, Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa, China
| | - Suolang Quji
- Institute of Animal Husbandry and Veterinary Science, Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa, China
| | - Ningbo Chen
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Bizhi Huang
- Yunnan Academy of Grassland and Animal Science, Kunming, China.
| | - Chuzhao Lei
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China.
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28
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Liu Y, Sun L, Ma X, Qu K, Liu J, Qi X, Li F, Zhang J, Huang B, Lei C. A novel missense mutation (rs464874590) within BoLA-DOB gene associated with the heat-resistance in Chinese cattle. Gene 2022; 808:145965. [PMID: 34530083 DOI: 10.1016/j.gene.2021.145965] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Revised: 07/16/2021] [Accepted: 09/09/2021] [Indexed: 01/02/2023]
Abstract
Bovine leukocyte antigen, class II, DO beta (BoLA-DOB) is related to antigen presentation, which can triggered by multicul factors. And the condition of immune function determines how much cattle load to heat stress. To evaluate the relationship between heat-resistance and single nucleotide polymorphisms (SNPs) in BoLA-DOB gene, our study has taken further analysis in Chinese indigenous cattle for the first time. A missense single nucleotide polymorphism (rs464874590) was detected in BoLA-DOB gene. We directly sequenced rs464874590 (NM_001013600.1 g.7122762 A > G) in BoLA-DOB gene of 522 individuals of 26 cattle breeds. The frequency of allele G gradually decreases from south to north with distinct climatic distribution characteristics. Further association analysis was carried out between different genotypes and environmental parameters, including annual mean temperature (T), relative humidity (RH), and temperature-humidity index (THI). The result showed that three genotypes were significantly correlated with T, H, and THI (P < 0.01), indicating that GG genotype was distributed in areas with hot and moist conditions. Therefore, our results suggested that the rs464874590 could be applied as a genetic marker to detect the heat-resistance of Chinese indigenous cattle.
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Affiliation(s)
- Yangkai Liu
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Luyang Sun
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Xiaohui Ma
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Kaixing Qu
- Yunnan Academy of Grassland and Animal Science, Kunming 650212, China
| | - Jianyong Liu
- Yunnan Academy of Grassland and Animal Science, Kunming 650212, China
| | - Xinglei Qi
- Biyang Xianan Cattle Technology and Development Company Ltd, Biyang, Henan 463700, China
| | - Fuqiang Li
- Hunan Tianhua Industrial Corporation Ltd, Lianyuan, Hunan 417126, China
| | - Jicai Zhang
- Yunnan Academy of Grassland and Animal Science, Kunming 650212, China
| | - Bizhi Huang
- Yunnan Academy of Grassland and Animal Science, Kunming 650212, China.
| | - Chuzhao Lei
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China.
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29
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Yuan G, Yan H, Liu Y, Ding X, Qi X, Qu K, Li F, Zhang J, Quji S, Lei C, Huang B, Zeng L. TAS2R16 introgression from banteng into indigenous Chinese cattle. Anim Biotechnol 2022:1-5. [PMID: 34974802 DOI: 10.1080/10495398.2021.2018334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
Historical hybridization between southern indigenous Chinese cattle and banteng has been well-documented and has resulted in gene introgression. Bitter taste receptors were reported in indigenous cattle as a result of introgression from banteng. To determine the level of introgression of the taste 2 receptor member 16 (TAS2R16) gene from banteng into Chinese cattle, two missense mutations in the bovine TAS2R16 gene were examined. Here, we explored the prevalence of the two variants in 28 indigenous Chinese cattle and banteng breeds (comprising 750 individuals) to determine the influence of banteng introgressions on Chinese cattle based on PCR and DNA sequencing. In our study, the two mutant alleles had a higher frequency distribution in southern China with strong geographic distribution, especially in the south-central and southeast areas. In conclusion, this study examines the impact of introgression on the frequency distributions of mutations in variable regions and the subsequent adaptation of Chinese indigenous cattle to different environmental conditions.
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Affiliation(s)
- Gaoxiang Yuan
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Huixuan Yan
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Ying Liu
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Xuhong Ding
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Xinglei Qi
- Bureau of Animal Husbandry of Biyang County, Biyang, China
| | - Kaixing Qu
- Yunnan Academy of Grassland and Animal Science, Kunming, China
| | - Fuqiang Li
- Hunan Tianhua Industrial Corporation Ltd., Lianyuan, China
| | - Jicai Zhang
- Yunnan Academy of Grassland and Animal Science, Kunming, China
| | - Suolang Quji
- Institute of Animal Husbandry and Veterinary Science, Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa, China
| | - Chuzhao Lei
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Bizhi Huang
- Yunnan Academy of Grassland and Animal Science, Kunming, China
| | - Lulan Zeng
- College of Life Sciences, Northwest A&F University, Yangling, China
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30
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Vanvanhossou SFU, Yin T, Scheper C, Fries R, Dossa LH, König S. Unraveling Admixture, Inbreeding, and Recent Selection Signatures in West African Indigenous Cattle Populations in Benin. Front Genet 2021; 12:657282. [PMID: 34956303 PMCID: PMC8694269 DOI: 10.3389/fgene.2021.657282] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Accepted: 10/07/2021] [Indexed: 11/13/2022] Open
Abstract
The Dwarf Lagune and the Savannah Somba cattle in Benin are typical representatives of the endangered West African indigenous Shorthorn taurine. The Lagune was previously exported to African and European countries and bred as Dahomey cattle, whereas the Somba contributed to the formation of two indigenous hybrids known as Borgou and Pabli cattle. These breeds are affected by demographic, economic, and environmental pressures in local production systems. Considering current and historical genomic data, we applied a formal test of admixture, estimated admixture proportions, and computed genomic inbreeding coefficients to characterize the five breeds. Subsequently, we unraveled the most recent selection signatures using the cross-population extended haplotype homozygosity approach, based on the current and historical genotypes. Results from principal component analyses and high proportion of Lagune ancestry confirm the Lagune origin of the European Dahomey cattle. Moreover, the Dahomey cattle displayed neither indicine nor European taurine (EUT) background, but they shared on average 40% of autozygosity from common ancestors, dated approximately eight generations ago. The Lagune cattle presented inbreeding coefficients larger than 0.13; however, the Somba and the hybrids (Borgou and Pabli) were less inbred (≤0.08). We detected evidence of admixture in the Somba and Lagune cattle, but they exhibited a similar African taurine (AFT) ancestral proportion (≥96%) to historical populations, respectively. A moderate and stable AFT ancestral proportion (62%) was also inferred for less admixed hybrid cattle including the Pabli. In contrast, the current Borgou samples displayed a lower AFT ancestral proportion (47%) than historical samples (63%). Irrespective of the admixture proportions, the hybrid populations displayed more selection signatures related to economic traits (reproduction, growth, and milk) than the taurine. In contrast, the taurine, especially the Somba, presented several regions known to be associated with adaptive traits (immunity and feed efficiency). The identified subregion of bovine leukocyte antigen (BoLA) class IIb (including DSB and BOLA-DYA) in Somba cattle is interestingly uncommon in other African breeds, suggesting further investigations to understand its association with specific adaptation to endemic diseases in Benin. Overall, our study provides deeper insights into recent evolutionary processes in the Beninese indigenous cattle and their aptitude for conservation and genetic improvement.
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Affiliation(s)
| | - Tong Yin
- Institute of Animal Breeding and Genetics, Justus-Liebig-University Gießen, Gießen, Germany
| | - Carsten Scheper
- Institute of Animal Breeding and Genetics, Justus-Liebig-University Gießen, Gießen, Germany
| | - Ruedi Fries
- Chair of Animal Breeding, Technische Universität München, Freising-Weihenstephan, Germany
| | - Luc Hippolyte Dossa
- School of Science and Technics of Animal Production, Faculty of Agricultural Sciences, University of Abomey-Calavi, Abomey-Calavi, Benin
| | - Sven König
- Institute of Animal Breeding and Genetics, Justus-Liebig-University Gießen, Gießen, Germany
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Utsunomiya YT, Fortunato AAAD, Milanesi M, Trigo BB, Alves NF, Sonstegard TS, Garcia JF. Bos taurus haplotypes segregating in Nellore (Bos indicus) cattle. Anim Genet 2021; 53:58-67. [PMID: 34921423 DOI: 10.1111/age.13164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/10/2021] [Indexed: 11/29/2022]
Abstract
Brazil is the largest exporter of beef in the world, and most of that beef derives from Nellore cattle. Although considered a zebu breed (Bos indicus), the history of Nellore cattle in Brazil is marked by the importation of bulls from India, the use of a Creole taurine (Bos taurus) maternal lineage to quickly expand the herds and backcrossing to Nellore bulls to recover zebu ancestry. As a consequence, the current Brazilian Nellore population carries an average taurine ancestry of approximately 1%. Although that percentage seems small, some taurine variants deviate substantially from that average, with the better-known cases being the PLAG1-Q haplotype involved with body size variation and the Guarani (PG ) polled variant producing hornless animals. Here, we report taurine haplotypes in 9074 Nellore animals genotyped for 539 657 imputed SNP markers. Apart from PLAG1-Q and PG , our analysis further revealed common taurine haplotypes (>3%) spanning genes related to immunity, growth, reproduction and hair and skin phenotypes. Using data from 22 economically important traits, we showed that many of the major QTL previously reported in the breed are at least partially driven by taurine haplotypes. As B. taurus and B. indicus haplotypes are highly divergent, presenting widely different sets of functional variants, our results provide promising targets for future scrutiny in Nellore cattle.
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Affiliation(s)
- Y T Utsunomiya
- Department of Production and Animal Health, School of Veterinary Medicine of Araçatuba, São Paulo State University, 16050-680 R. Clovis Pestana 793 - Dona Amelia, Araçatuba, SP, Brazil.,International Atomic Energy Agency Collaborating Centre on Animal Genomics and Bioinformatics, 16050-680 R. Clovis Pestana 793 - Dona Amelia, Araçatuba, SP, Brazil.,AgroPartners Consulting. R. Floriano Peixoto, 120 - Sala 43A - Centro, Araçatuba, SP, 16010-220, Brazil
| | - A A A D Fortunato
- Department of Production and Animal Health, School of Veterinary Medicine of Araçatuba, São Paulo State University, 16050-680 R. Clovis Pestana 793 - Dona Amelia, Araçatuba, SP, Brazil.,International Atomic Energy Agency Collaborating Centre on Animal Genomics and Bioinformatics, 16050-680 R. Clovis Pestana 793 - Dona Amelia, Araçatuba, SP, Brazil.,Personal-PEC. R. Sebastião Lima, 1336 - Centro, Campo Grande, MS, 79004-600, Brazil
| | - M Milanesi
- AgroPartners Consulting. R. Floriano Peixoto, 120 - Sala 43A - Centro, Araçatuba, SP, 16010-220, Brazil.,Department for Innovation in Biological, Agro-Food and Forest Systems, Università Della Tuscia, Via S. Camillo de Lellis snc, Viterbo, 01100, Italy
| | - B B Trigo
- Department of Production and Animal Health, School of Veterinary Medicine of Araçatuba, São Paulo State University, 16050-680 R. Clovis Pestana 793 - Dona Amelia, Araçatuba, SP, Brazil.,International Atomic Energy Agency Collaborating Centre on Animal Genomics and Bioinformatics, 16050-680 R. Clovis Pestana 793 - Dona Amelia, Araçatuba, SP, Brazil
| | - N F Alves
- Department of Production and Animal Health, School of Veterinary Medicine of Araçatuba, São Paulo State University, 16050-680 R. Clovis Pestana 793 - Dona Amelia, Araçatuba, SP, Brazil.,International Atomic Energy Agency Collaborating Centre on Animal Genomics and Bioinformatics, 16050-680 R. Clovis Pestana 793 - Dona Amelia, Araçatuba, SP, Brazil
| | | | - J F Garcia
- Department of Production and Animal Health, School of Veterinary Medicine of Araçatuba, São Paulo State University, 16050-680 R. Clovis Pestana 793 - Dona Amelia, Araçatuba, SP, Brazil.,International Atomic Energy Agency Collaborating Centre on Animal Genomics and Bioinformatics, 16050-680 R. Clovis Pestana 793 - Dona Amelia, Araçatuba, SP, Brazil.,AgroPartners Consulting. R. Floriano Peixoto, 120 - Sala 43A - Centro, Araçatuba, SP, 16010-220, Brazil.,Department of Preventive Veterinary Medicine and Animal Reproduction, School of Agricultural and Veterinarian Sciences, São Paulo State University, 14884-900 Via de Acesso Prof. Paulo Donato Castellane s/n, Jaboticabal, SP, Brazil
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Yudin NS, Yurchenko AA, Larkin DM. [Signatures of selection and candidate genes for adaptation to extreme environmental factors in the genomes of Turano-Mongolian cattle breeds]. Vavilovskii Zhurnal Genet Selektsii 2021; 25:190-201. [PMID: 34901717 PMCID: PMC8627871 DOI: 10.18699/vj21.023] [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: 09/20/2020] [Revised: 10/18/2020] [Accepted: 10/20/2020] [Indexed: 11/19/2022] Open
Abstract
Changes in the environment force populations of organisms to adapt to new conditions, either through phenotypic plasticity or through genetic or epigenetic changes. Signatures of selection, such as specific changes in the frequency of alleles and haplotypes, as well as the reduction or increase in genetic diversity, help to identify changes in the cattle genome in response to natural and artificial selection, as well as loci and genetic variants directly affecting adaptive and economically important traits. Advances in genetics and biotechnology enable a rapid transfer of unique genetic variants that have originated in local cattle breeds in the process of adaptation to local environments into the genomes of cosmopolitan high-performance breeds, in order to preserve their outstanding performance in new environments. It is also possible to use genomic selection approach to increase the frequency of already present adaptive alleles in cosmopolitan breeds. The review examines recent work on the origin and evolution of Turano-Mongolian cattle breeds, adaptation of Turano-Mongolian cattle to extreme environments, and summarizes available information on potential candidate genes for climate adaptation of Turano-Mongolian breeds, including cold resistance genes, immune response genes, and high-altitude adaptation genes. The authors conclude that the current literature data do not provide preference to one of the two possible scenarios of Turano-Mongolian breed origins: as a result of the domestication of a wild aurochs at East Asia or as a result of the migration of taurine proto-population from the Middle East. Turano-Mongolian breeds show a high degree of adaptation to extreme climatic conditions (cold, heat, lack of oxygen in the highlands) and parasites (mosquitoes, ticks, bacterial and viral infections). As a result of high-density genotyping and sequencing of genomes and transcriptomes, prospective candidate genes and genetic variants involved in adaptation to environmental factors have recently been identified.
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Affiliation(s)
- N S Yudin
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - A A Yurchenko
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - D M Larkin
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia The Royal Veterinary College, University of London, London, United Kingdom
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Population genetic diversity and genetic evaluation models reveal the maternal genetic structure and conservation priority characteristics of indigenous cattle in China. Glob Ecol Conserv 2021. [DOI: 10.1016/j.gecco.2021.e01903] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
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Dixit SP, Bhatia AK, Ganguly I, Singh S, Dash S, Sharma A, Anandkumar N, Dang AK, Jayakumar S. Genome analyses revealed genetic admixture and selection signatures in Bos indicus. Sci Rep 2021; 11:21924. [PMID: 34753978 PMCID: PMC8578574 DOI: 10.1038/s41598-021-01144-2] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2021] [Accepted: 10/21/2021] [Indexed: 11/20/2022] Open
Abstract
The genomic diversity and relationship among seven diverse cattle breeds viz. Sahiwal, Tharparkar, Gir, Vechur, Ongole, Kangayam and Hariana were investigated in 132 random samples based on high density SNP array comprising > 777 K SNPs. A total of 1993 SNPs (0.25% of the total) having greater power (FST ≥ 0.20) to differentiate these cattle populations were identified, and utilized to partition genome of each animal into a predefined number of clusters. The structure of these cattle indicated shared ancestry of dairy breeds viz. Gir, Tharparkar and Sahiwal. Most of the animals (> 76%) of different populations under study except Vechur clustered into their own group of animals called breed. Vechur population retained highest rate of admixture, consistent with its crossing with other breeds. Ongole, Kangayam and Hariana shared comparatively less of their genome (≤ 15%) with other breeds. The study indicated that all seven breeds evolved from their independent ancestry but there was intermixing of these breeds in the recent past. The selection signatures identified between draft (Kangayam) and dairy breeds included several genes like FAM19A2, RAB31P, BEST3, DGKA, AHCY, PIGU and PFKP which are involved in immune response, metabolic pathway, transportation of glucose and sugars, signaling pathways, cellular processes, cell division and glycolysis regulation, respectively. Moreover, these genomic regions also harbour QTLs affecting milk performance traits. The signatures were also identified even between the dairy breeds. In comparison to large-sized cattle, there were significant differences in the number of QTLs affecting production (body weight, growth rate etc.) and morphological traits (height) in short-statured Vechur breed. The presence of HMGA2 gene in the selection signature on chromosome 5 may explain the variations in stature between these cattle.
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Affiliation(s)
- S P Dixit
- ICAR - National Bureau of Animal Genetic Resources, Karnal, Haryana, 132001, India.
| | - A K Bhatia
- ICAR - National Bureau of Animal Genetic Resources, Karnal, Haryana, 132001, India
| | - Indrajit Ganguly
- ICAR - National Bureau of Animal Genetic Resources, Karnal, Haryana, 132001, India
| | - Sanjeev Singh
- ICAR - National Bureau of Animal Genetic Resources, Karnal, Haryana, 132001, India
| | - Soumya Dash
- ICAR - National Bureau of Animal Genetic Resources, Karnal, Haryana, 132001, India
| | - Anurodh Sharma
- ICAR - National Bureau of Animal Genetic Resources, Karnal, Haryana, 132001, India
| | - N Anandkumar
- ICAR - National Bureau of Animal Genetic Resources, Karnal, Haryana, 132001, India
| | - A K Dang
- ICAR - National Dairy Research Institute, Karnal, Haryana, 132001, India
| | - S Jayakumar
- ICAR - National Bureau of Animal Genetic Resources, Karnal, Haryana, 132001, India
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Zhang X, Qu K, Jia P, Zhang J, Liu J, Lei C, Huang B. Assessing Genomic Diversity and Productivity Signatures in Dianzhong Cattle by Whole-Genome Scanning. Front Genet 2021; 12:719215. [PMID: 34675962 PMCID: PMC8523829 DOI: 10.3389/fgene.2021.719215] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Accepted: 09/10/2021] [Indexed: 11/13/2022] Open
Abstract
Dianzhong cattle is a classic Chinese indigenous cattle breed with historical records dating back to 200 BC. But with its genomic differences having not been clearly elucidated, the quest for genomic characterization will be an essential step towards understanding the genomic basis of productivity and adaptation to survival under Chinese farming systems. Here we compared 10 Dianzhong cattle (four newly sequenced and six downloaded) with 29 published genomes of three underlying ancestral populations (Chinese zebu, Indian zebu, and Yanbian cattle) to characterize the genomic variations of Dianzhong cattle. Dianzhong cattle has a high nucleotide diversity (0.0034), second only to Chinese zebu. Together with analyses of linkage disequilibrium decay and runs of homozygosity, Dianzhong cattle displayed higher genomic diversity and weaker artificial selection compared with Yanbian cattle. From a selective sweep analysis by four methods (Fst, π-ratio, XP-CLR, and XP-EHH), the positive selective signals were mainly manifested in candidate genes and pathways related to heat resistance, growth and development, fat deposition, and male reproduction. Missense mutations were detected in candidate genes, SDS (c.944C > A and p.Ala315Glu), PDGFD (c.473A > G and p.Lys158Arg), and DDX4 (rs460251486, rs722912933, and rs517668236), which related to heat resistance, fat deposition, and spermatogenesis, respectively. Our findings unravel, at the genome-wide level, the unique diversity of Dianzhong cattle while emphasizing the opportunities for improvement of livestock productivity in further breeding programs.
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Affiliation(s)
- Xianfu Zhang
- Key Laboratory of Applied Technology on Green-Eco-Healthy Animal Husbandry of Zhejiang Province, Zhejiang Provincial Engineering Laboratory for Animal Health Inspection and Internet Technology, College of Animal Science and Technology, College of Veterinary Medicine, Zhejiang A&F University, Hangzhou, China
| | - Kaixing Qu
- Yunnan Academy of Grassland and Animal Science, Kunming, China
| | - Peng Jia
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Xianyang, China
| | - Jicai Zhang
- Yunnan Academy of Grassland and Animal Science, Kunming, China
| | - Jianyong Liu
- Yunnan Academy of Grassland and Animal Science, Kunming, China
| | - Chuzhao Lei
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Xianyang, China
| | - Bizhi Huang
- Yunnan Academy of Grassland and Animal Science, Kunming, China
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36
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Bang NN, Hayes BJ, Lyons RE, Randhawa IAS, Gaughan JB, McNeill DM. Genomic diversity and breed composition of Vietnamese smallholder dairy cows. J Anim Breed Genet 2021; 139:145-160. [PMID: 34559415 DOI: 10.1111/jbg.12651] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2021] [Revised: 09/10/2021] [Accepted: 09/13/2021] [Indexed: 11/29/2022]
Abstract
Vietnamese smallholder dairy cows (VDC) are the result of crossbreeding between different zebu (ZEB) and taurine dairy breeds through many undefined generations. Thus, the predominant breed composition of VDC is currently unknown. This study aimed to evaluate the level of genetic diversity and breed composition of VDC. The SNP data of 344 animals from 32 farms located across four dairy regions of Vietnam were collected and merged with genomic reference data, which included three ZEB breeds: Red Sindhi, Sahiwal and Brahman, three taurine breeds: Holstein (HOL), Jersey (JER) and Brown Swiss (BSW), and a composite breed: Chinese Yellow cattle. Diversity and admixture analyses were applied to the merged data set. The VDC were not excessively inbred, as indicated by very low inbreeding coefficients (Wright's FIS ranged from -0.017 to 0.003). The genetic fractions in the test herds suggested that the VDC are primarily composed of HOL (85.0%); however, JER (6.0%), BSW 5.3%) and ZEB (4.5%) had also contributed. Furthermore, major genotype groupings in the test herds were pure HOL (48%), B3:15/16HOL_1/16ZEB (22%) and B2:7/8HOL_1/8ZEB (12%). The genetic makeup of the VDC is mainly components of various dairy breeds but also has a small percentage of ZEB; thus, the VDC could be a good genetic base for selecting high milk-producing cows with some degree of adaptation to tropical conditions.
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Affiliation(s)
- Nguyen N Bang
- School of Veterinary Science, The University of Queensland, Gatton, Qld, Australia.,Faculty of Animal Science, Vietnam National University of Agriculture, Hanoi, Vietnam
| | - Ben J Hayes
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St. Lucia, Qld, Australia
| | - Russell E Lyons
- School of Veterinary Science, The University of Queensland, Gatton, Qld, Australia
| | - Imtiaz A S Randhawa
- School of Veterinary Science, The University of Queensland, Gatton, Qld, Australia
| | - John B Gaughan
- School of Agriculture and Food Sciences, The University of Queensland, Gatton, Qld, Australia
| | - David M McNeill
- School of Veterinary Science, The University of Queensland, Gatton, Qld, Australia
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37
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Wan P, Yang X, Li Y, Huang B, Cai C. The distribution of a missense mutation in SDK1 gene across native Chinese breeds. Anim Biotechnol 2021:1-4. [PMID: 34550863 DOI: 10.1080/10495398.2021.1974467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Sidekick cell adhesion molecule 1 (SDK1) gene belonging to the immunoglobulin superfamily (IgSF) is reported to be associated with disease resistance. A novel missense mutation (XM_015469413.1: c.2678 A > G: p. Asp893Gly) in bovine SDK1 gene was observed in the Bovine Genome Variation Database (BGVD). The purpose of the current study was to determine the allelic frequency distribution of XM_015469413.1: c.2678 A > G: p. Asp893Gly and analyze its association with disease resistance in native Chinese cattle. Here, we explored the allele frequency of the missense mutation (M_015469413.1: c.2678 A > G: p. Asp893Gly) in 542 individuals from 27 Chinese indigenous cattle breeds using PCR and DNA sequencing methods. The frequency of the mutant allele (G) gradually decreased from the southern cattle groups to the northern cattle groups, whereas the frequency of the wild-type allele A showed an opposite pattern, consistent with the distribution of indicine and taurine cattle in China. Thus, our results proved that the bovine SDK1 gene might be candidate genes associated with disease resistance in Chinese cattle.
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Affiliation(s)
- Peng Wan
- Guyuan Branch of Ningxia Academy of Agriculture and Forestry Sciences, Guyuan, People's Republic of China
| | - Xueyao Yang
- Guyuan Branch of Ningxia Academy of Agriculture and Forestry Sciences, Guyuan, People's Republic of China
| | - Yulian Li
- Guyuan Branch of Ningxia Academy of Agriculture and Forestry Sciences, Guyuan, People's Republic of China
| | - Bizhi Huang
- Yunnan Academy of Grassland and Animal Science, Kunming, China
| | - Cuicui Cai
- Guyuan Branch of Ningxia Academy of Agriculture and Forestry Sciences, Guyuan, People's Republic of China
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Zinovieva NA, Sheiko IP, Dotsev AV, Sheiko RI, Mikhailova ME, Sermyagin AA, Abdelmanova AS, Kharzinova VR, Reyer H, Wimmers K, Sölkner J, Pleshanov NV, Brem G. Genome-wide SNP analysis clearly distinguished the Belarusian Red cattle from other European cattle breeds. Anim Genet 2021; 52:720-724. [PMID: 34131930 DOI: 10.1111/age.13102] [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] [Accepted: 05/24/2021] [Indexed: 01/06/2023]
Abstract
Local breeds can serve as an important source of genetic variability in domestic animal species. This study aimed to assess the genetic diversity and population structure of Belarusian Red cattle and their differentiation from other European cattle populations based on genome-wide SNP genotypes. Twenty pedigree-recorded non-closely related cows of Belarusian Red cattle were genotyped using the Illumina BovineHD BeadChip. Genotypes of 22 other European cattle breeds were included in the study for comparison. A total of 28 562 SNPs passed through the quality control checks and were selected for analysis. The Belarusian Red cattle displayed a moderate level of genetic variability (U HE = 0.341, HO = 0.368), and the highest heterozygote excess (U FIS = -0.066), among the studied breeds; this reflects the contribution of multiple breeds to their formation. The principal component analysis, FST -based Neighbor-Net tree and Admixture clustering, clearly distinguished the Belarusian Red cattle from the other European cattle breeds. Moreover, the presence of ancestral genomic components of Danish Red and Brown Swiss breeds were clearly visible, which agrees with the breed's history and its recent development. Our study highlights the importance of maintaining the specific genomic components, which makes a significant contribution to the global genetic diversity in the modern population of Belarusian Red cattle, allowing us to consider them a valuable national genetic resource. Our research results will be useful for the development of conservation programs for this local cattle breed.
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Affiliation(s)
- N A Zinovieva
- L.K. Ernst Federal Research Center for Animal Husbandry, Podolsk, 142132, Russia
| | - I P Sheiko
- Scientific and Practical Center of the National Academy of Sciences of Belarus for Animal Husbandry, Zhodino, 222160, Belarus
| | - A V Dotsev
- L.K. Ernst Federal Research Center for Animal Husbandry, Podolsk, 142132, Russia
| | - R I Sheiko
- Institute of Genetics and Cytology of the National Academy of Science of Belarus, Minsk, 220072, Belarus
| | - M E Mikhailova
- Institute of Genetics and Cytology of the National Academy of Science of Belarus, Minsk, 220072, Belarus
| | - A A Sermyagin
- L.K. Ernst Federal Research Center for Animal Husbandry, Podolsk, 142132, Russia
| | - A S Abdelmanova
- L.K. Ernst Federal Research Center for Animal Husbandry, Podolsk, 142132, Russia
| | - V R Kharzinova
- L.K. Ernst Federal Research Center for Animal Husbandry, Podolsk, 142132, Russia
| | - H Reyer
- Institute of Genome Biology, Leibniz Institute for Farm Animal Biology, Dummerstorf, 18196, Germany
| | - K Wimmers
- Institute of Genome Biology, Leibniz Institute for Farm Animal Biology, Dummerstorf, 18196, Germany
| | - J Sölkner
- Division of Livestock Sciences, University of Natural Resources and Life Sciences, Vienna, 1180, Austria
| | - N V Pleshanov
- Russian Research Institute of Farm Animal Genetics and Breeding - Branch of the L.K. Ernst Federal Research Center for Animal Husbandry, St. Petersburg - Pushkin, 196601, Russia
| | - G Brem
- L.K. Ernst Federal Research Center for Animal Husbandry, Podolsk, 142132, Russia.,Institute of Animal Breeding and Genetics, University of Veterinary Medicine, Vienna, 1210, Austria
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Ablondi M, Malacarne M, Cipolat-Gotet C, van Kaam JT, Sabbioni A, Summer A. Genome-wide scan reveals genetic divergence in Italian Holstein cows bred within PDO cheese production chains. Sci Rep 2021; 11:12601. [PMID: 34131265 PMCID: PMC8206360 DOI: 10.1038/s41598-021-92168-1] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Accepted: 06/07/2021] [Indexed: 02/05/2023] Open
Abstract
Dairy cattle breeds have been exposed to intense artificial selection for milk production traits over the last fifty years. In Italy, where over 80% of milk is processed into cheese, selection has also focused on cheese-making traits. Due to a deep-rooted tradition in cheese-making, currently fifty Italian cheeses are marked with the Protected Designation of Origin (PDO) label as they proved traditional land of origin and procedures for milk transformation. This study aimed to explore from a genetic point of view if the presence of such diverse productive contexts in Italy have shaped in a different manner the genome of animals originally belonging to a same breed. We analyzed high density genotype data from 1000 Italian Holstein cows born between 2014 and 2018. Those animals were either farmed in one of four Italian PDO consortia or used for drinkable milk production only. Runs of Homozygosity, Bayesian Information Criterion and Discriminant Analysis of Principal Components were used to evaluate potential signs of genetic divergence within the breed. We showed that the analyzed Italian Holstein cows have genomic inbreeding level above 5% in all subgroups, reflecting the presence of ongoing artificial selection in the breed. Our study provided a comprehensive representation of the genetic structure of the Italian Holstein breed, highlighting the presence of potential genetic subgroups due to divergent dairy farming systems. This study can be used to further investigate genetic variants underlying adaptation traits in these subgroups, which in turn might be used to design more specialized breeding programs.
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Affiliation(s)
- Michela Ablondi
- grid.10383.390000 0004 1758 0937Dipartimento di Scienze Medico-Veterinarie, University of Parma, Via del Taglio 10, 43126 Parma, Italy
| | - Massimo Malacarne
- grid.10383.390000 0004 1758 0937Dipartimento di Scienze Medico-Veterinarie, University of Parma, Via del Taglio 10, 43126 Parma, Italy
| | - Claudio Cipolat-Gotet
- grid.10383.390000 0004 1758 0937Dipartimento di Scienze Medico-Veterinarie, University of Parma, Via del Taglio 10, 43126 Parma, Italy
| | - Jan-Thijs van Kaam
- Associazione Nazionale Allevatori della Razza Frisona e Jersey Italiana, Cremona, Italy
| | - Alberto Sabbioni
- grid.10383.390000 0004 1758 0937Dipartimento di Scienze Medico-Veterinarie, University of Parma, Via del Taglio 10, 43126 Parma, Italy
| | - Andrea Summer
- grid.10383.390000 0004 1758 0937Dipartimento di Scienze Medico-Veterinarie, University of Parma, Via del Taglio 10, 43126 Parma, Italy
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40
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Mitochondrial genomes from modern and ancient Turano-Mongolian cattle reveal an ancient diversity of taurine maternal lineages in East Asia. Heredity (Edinb) 2021; 126:1000-1008. [PMID: 33782560 PMCID: PMC8178343 DOI: 10.1038/s41437-021-00428-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2020] [Revised: 03/15/2021] [Accepted: 03/15/2021] [Indexed: 02/01/2023] Open
Abstract
Turano-Mongolian cattle are a group of taurine cattle from Northern and Eastern Asia with distinct morphological traits, which are known for their ability to tolerate harsh environments, such as the Asian steppe and the Tibetan plateau. Through the analysis of 170 mitogenomes from ten modern breeds, two sub-lineages within T3 (T3119 and T3055) were identified as specific of Turano-Mongolian cattle. These two T3 sub-lineages, together with the previously identified T4, were also present in six Neolithic samples, dated to ~3900 years BP, which might represent the earliest domestic taurine stocks from Southwest Asia. The rare haplogroup Q, found in three Tibetan cattle, testifies for the legacy of ancient migrations from Southwest Asia and suggests that the isolated Tibetan Plateau preserved unique prehistoric genetic resources. These findings confirm the geographic substructure of Turano-Mongolian cattle breeds, which have been shaped by ancient migrations and geographic barriers.
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41
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Ben-Jemaa S, Senczuk G, Ciani E, Ciampolini R, Catillo G, Boussaha M, Pilla F, Portolano B, Mastrangelo S. Genome-Wide Analysis Reveals Selection Signatures Involved in Meat Traits and Local Adaptation in Semi-Feral Maremmana Cattle. Front Genet 2021; 12:675569. [PMID: 33995500 PMCID: PMC8113768 DOI: 10.3389/fgene.2021.675569] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Accepted: 04/07/2021] [Indexed: 12/31/2022] Open
Abstract
The Maremmana cattle is an ancient Podolian-derived Italian breed raised in semi-wild conditions with distinctive morphological and adaptive traits. The aim of this study was to detect potential selection signatures in Maremmana using medium-density single nucleotide polymorphism array. Putative selection signatures were investigated combining three statistical approaches designed to quantify the excess of haplotype homozygosity either within (integrated haplotype score, iHS) or among pairs of populations (Rsb and XP-EHH), and contrasting the Maremmana with a single reference population composed of a pool of seven Podolian-derived Italian breeds. Overall, the three haplotype-based analyses revealed selection signatures distributed over 19 genomic regions. Of these, six relevant candidate regions were identified by at least two approaches. We found genomic signatures of selective sweeps spanning genes related to mitochondrial function, muscle development, growth, and meat traits (SCIN, THSD7A, ETV1, UCHL1, and MYOD1), which reflects the different breeding schemes between Maremmana (semi-wild conditions) and the other Podolian-derived Italian breeds (semi-extensive). We also identified several genes linked to Maremmana adaptation to the environment of the western-central part of Italy, known to be hyperendemic for malaria and other tick-borne diseases. These include several chemokine (C-C motif) ligand genes crucially involved in both innate and adaptive immune responses to intracellular parasite infections and other genes playing key roles in pulmonary disease (HEATR9, MMP28, and ASIC2) or strongly associated with malaria resistance/susceptibility (AP2B1). Our results provide a glimpse into diverse selection signatures in Maremmana cattle and can be used to enhance our understanding of the genomic basis of environmental adaptation in cattle.
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Affiliation(s)
- Slim Ben-Jemaa
- Laboratoire des Productions Animales et Fourragères, Institut National de la Recherche Agronomique de Tunisie, University of Carthage, Ariana, Tunisia
| | - Gabriele Senczuk
- Dipartimento di Agricoltura, Ambiente e Alimenti, University of Molise, Campobasso, Italy
| | - Elena Ciani
- Dipartimento di Bioscienze, Biotecnologie e Biofarmaceutica, University of Bari “Aldo Moro”, Bari, Italy
| | | | - Gennaro Catillo
- Consiglio per la Ricerca in Agricoltura e l’Analisi dell’Economia Agraria (CREA), Centro di Ricerca Zootecnia e Acquacoltura, Lodi, Italy
| | - Mekki Boussaha
- INRAE, AgroParisTech, University of Paris Saclay, Saint Aubin, France
| | - Fabio Pilla
- Dipartimento di Agricoltura, Ambiente e Alimenti, University of Molise, Campobasso, Italy
| | - Baldassare Portolano
- Dipartimento di Scienze Agrarie, Alimentari e Forestali, University of Palermo, Palermo, Italy
| | - Salvatore Mastrangelo
- Dipartimento di Scienze Agrarie, Alimentari e Forestali, University of Palermo, Palermo, Italy
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42
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Wang X, Ju Z, Jiang Q, Zhong J, Liu C, Wang J, Hoff JL, Schnabel RD, Zhao H, Gao Y, Liu W, Wang L, Gao Y, Yang C, Hou M, Huang N, Regitano LCA, Porto-Neto LR, Decker JE, Taylor JF, Huang J. Introgression, admixture, and selection facilitate genetic adaptation to high-altitude environments in cattle. Genomics 2021; 113:1491-1503. [PMID: 33771637 DOI: 10.1016/j.ygeno.2021.03.023] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Revised: 03/17/2021] [Accepted: 03/21/2021] [Indexed: 12/30/2022]
Abstract
Domestication and subsequent selection of cattle to form breeds and biological types that can adapt to different environments partitioned ancestral genetic diversity into distinct modern lineages. Genome-wide selection particularly for adaptation to extreme environments left detectable signatures genome-wide. We used high-density genotype data for 42 cattle breeds and identified the influence of Bos grunniens and Bos javanicus on the formation of Chinese indicine breeds that led to their divergence from India-origin zebu. We also found evidence for introgression, admixture, and migration in most of the Chinese breeds. Selection signature analyses between high-altitude (≥1800 m) and low-altitude adapted breeds (<1500 m) revealed candidate genes (ACSS2, ALDOC, EPAS1, EGLN1, NUCB2) and pathways that are putatively involved in hypoxia adaptation. Immunohistochemical, real-time PCR and CRISPR/cas9 ACSS2-knockout analyses suggest that the up-regulation of ACSS2 expression in the liver promotes the metabolic adaptation of cells to hypoxia via the hypoxia-inducible factor pathway. High altitude adaptation involved the introgression of alleles from high-altitude adapted yaks into Chinese Bos taurus taurus prior to their formation into recognized breeds and followed by selection. In addition to selection, adaptation to high altitude environments has been facilitated by admixture and introgression with locally adapted cattle populations.
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Affiliation(s)
- Xiuge Wang
- Dairy Cattle Research Center, Shandong Academy of Agricultural Sciences, Jinan, Shandong 250131, China
| | - Zhihua Ju
- Dairy Cattle Research Center, Shandong Academy of Agricultural Sciences, Jinan, Shandong 250131, China
| | - Qiang Jiang
- Dairy Cattle Research Center, Shandong Academy of Agricultural Sciences, Jinan, Shandong 250131, China
| | - Jifeng Zhong
- Dairy Cattle Research Center, Shandong Academy of Agricultural Sciences, Jinan, Shandong 250131, China; Institute of Animal Science, Jiangsu Academy of Agricultural Sciences, Nanjing, Jiangsu 210014, China
| | - Chengkun Liu
- Dairy Cattle Research Center, Shandong Academy of Agricultural Sciences, Jinan, Shandong 250131, China
| | - Jinpeng Wang
- Dairy Cattle Research Center, Shandong Academy of Agricultural Sciences, Jinan, Shandong 250131, China
| | - Jesse L Hoff
- Division of Animal Sciences, University of Missouri, Columbia, MO 65211, USA
| | - Robert D Schnabel
- Division of Animal Sciences, University of Missouri, Columbia, MO 65211, USA; Informatics Institute, University of Missouri, Columbia, MO 65211, USA
| | - Han Zhao
- Dairy Cattle Research Center, Shandong Academy of Agricultural Sciences, Jinan, Shandong 250131, China; College of Life Sciences, Shandong Normal University, Jinan, Shandong 250014, China
| | - Yaping Gao
- Dairy Cattle Research Center, Shandong Academy of Agricultural Sciences, Jinan, Shandong 250131, China
| | - Wenhao Liu
- Dairy Cattle Research Center, Shandong Academy of Agricultural Sciences, Jinan, Shandong 250131, China
| | - Lingling Wang
- Shandong OX Livestock Breeding Co., Ltd., Jinan, Shandong 250131, China
| | - Yundong Gao
- Dairy Cattle Research Center, Shandong Academy of Agricultural Sciences, Jinan, Shandong 250131, China; Shandong OX Livestock Breeding Co., Ltd., Jinan, Shandong 250131, China
| | - Chunhong Yang
- Dairy Cattle Research Center, Shandong Academy of Agricultural Sciences, Jinan, Shandong 250131, China
| | - Minghai Hou
- Dairy Cattle Research Center, Shandong Academy of Agricultural Sciences, Jinan, Shandong 250131, China
| | - Ning Huang
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan 650201, China
| | | | | | - Jared E Decker
- Division of Animal Sciences, University of Missouri, Columbia, MO 65211, USA
| | - Jeremy F Taylor
- Division of Animal Sciences, University of Missouri, Columbia, MO 65211, USA.
| | - Jinming Huang
- Dairy Cattle Research Center, Shandong Academy of Agricultural Sciences, Jinan, Shandong 250131, China; College of Life Sciences, Shandong Normal University, Jinan, Shandong 250014, China.
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43
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Schmidtmann C, Schönherz A, Guldbrandtsen B, Marjanovic J, Calus M, Hinrichs D, Thaller G. Assessing the genetic background and genomic relatedness of red cattle populations originating from Northern Europe. Genet Sel Evol 2021; 53:23. [PMID: 33676402 PMCID: PMC7936461 DOI: 10.1186/s12711-021-00613-6] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Accepted: 02/08/2021] [Indexed: 12/20/2022] Open
Abstract
Background Local cattle breeds need special attention, as they are valuable reservoirs of genetic diversity. Appropriate breeding decisions and adequate genomic management of numerically smaller populations are required for their conservation. At this point, the analysis of dense genome-wide marker arrays provides encompassing insights into the genomic constitution of livestock populations. We have analyzed the genetic characterization of ten cattle breeds originating from Germany, The Netherlands and Denmark belonging to the group of red dairy breeds in Northern Europe. The results are intended to provide initial evidence on whether joint genomic breeding strategies of these populations will be successful. Results Traditional Danish Red and Groningen White-Headed were the most genetically differentiated breeds and their populations showed the highest levels of inbreeding. In contrast, close genetic relationships and shared ancestry were observed for the populations of German Red and White Dual-Purpose, Dutch Meuse-Rhine-Yssel, and Dutch Deep Red breeds, reflecting their common histories. A considerable amount of gene flow from Red Holstein to German Angler and to German Red and White Dual-Purpose was revealed, which is consistent with frequent crossbreeding to improve productivity of these local breeds. In Red Holstein, marked genomic signatures of selection were reported on chromosome 18, suggesting directed selection for important breeding goal traits. Furthermore, tests for signatures of selection between Red Holstein, Red and White Dual-Purpose, and Meuse-Rhine-Yssel uncovered signals for all investigated pairs of populations. The corresponding genomic regions, which were putatively under different selection pressures, harboured various genes which are associated with traits such as milk and beef production, mastitis and female fertility. Conclusions This study provides comprehensive knowledge on the genetic constitution and genomic connectedness of divergent red cattle populations in Northern Europe. The results will help to design and optimize breeding strategies. A joint genomic evaluation including some of the breeds studied here seems feasible.
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Affiliation(s)
- Christin Schmidtmann
- Institute of Animal Breeding and Husbandry, Christian-Albrechts-University Kiel, 24098, Kiel, Germany.
| | - Anna Schönherz
- Department of Molecular Biology and Genetics, Center for Quantitative Genetics and Genomics, Aarhus University, 8830, Tjele, Denmark.,Department of Animal Science, Aarhus University, 8830, Tjele, Denmark
| | - Bernt Guldbrandtsen
- Department of Molecular Biology and Genetics, Center for Quantitative Genetics and Genomics, Aarhus University, 8830, Tjele, Denmark.,Department of Animal Sciences, Department of Animal Breeding and Husbandry, University of Bonn, 53115, Bonn, Germany
| | - Jovana Marjanovic
- Animal Breeding and Genomics, Wageningen University and Research, 6700AH, Wageningen, The Netherlands
| | - Mario Calus
- Animal Breeding and Genomics, Wageningen University and Research, 6700AH, Wageningen, The Netherlands
| | - Dirk Hinrichs
- Department of Animal Breeding, University of Kassel, 37213, Witzenhausen, Germany
| | - Georg Thaller
- Institute of Animal Breeding and Husbandry, Christian-Albrechts-University Kiel, 24098, Kiel, Germany
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44
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Freitas PHF, Wang Y, Yan P, Oliveira HR, Schenkel FS, Zhang Y, Xu Q, Brito LF. Genetic Diversity and Signatures of Selection for Thermal Stress in Cattle and Other Two Bos Species Adapted to Divergent Climatic Conditions. Front Genet 2021; 12:604823. [PMID: 33613634 PMCID: PMC7887320 DOI: 10.3389/fgene.2021.604823] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Accepted: 01/15/2021] [Indexed: 12/21/2022] Open
Abstract
Understanding the biological mechanisms of climatic adaptation is of paramount importance for the optimization of breeding programs and conservation of genetic resources. The aim of this study was to investigate genetic diversity and unravel genomic regions potentially under selection for heat and/or cold tolerance in thirty-two worldwide cattle breeds, with a focus on Chinese local cattle breeds adapted to divergent climatic conditions, Datong yak (Bos grunniens; YAK), and Bali (Bos javanicus) based on dense SNP data. In general, moderate genetic diversity levels were observed in most cattle populations. The proportion of polymorphic SNP ranged from 0.197 (YAK) to 0.992 (Mongolian cattle). Observed and expected heterozygosity ranged from 0.023 (YAK) to 0.366 (Sanhe cattle; SH), and from 0.021 (YAK) to 0.358 (SH), respectively. The overall average inbreeding (±SD) was: 0.118 ± 0.028, 0.228 ± 0.059, 0.194 ± 0.041, and 0.021 ± 0.004 based on the observed versus expected number of homozygous genotypes, excess of homozygosity, correlation between uniting gametes, and runs of homozygosity (ROH), respectively. Signatures of selection based on multiple scenarios and methods (F ST, HapFLK, and ROH) revealed important genomic regions and candidate genes. The candidate genes identified are related to various biological processes and pathways such as heat-shock proteins, oxygen transport, anatomical traits, mitochondrial DNA maintenance, metabolic activity, feed intake, carcass conformation, fertility, and reproduction. This highlights the large number of biological processes involved in thermal tolerance and thus, the polygenic nature of climatic resilience. A comprehensive description of genetic diversity measures in Chinese cattle and YAK was carried out and compared to 24 worldwide cattle breeds to avoid potential biases. Numerous genomic regions under positive selection were detected using three signature of selection methods and candidate genes potentially under positive selection were identified. Enriched function analyses pinpointed important biological pathways, molecular function and cellular components, which contribute to a better understanding of the biological mechanisms underlying thermal tolerance in cattle. Based on the large number of genomic regions identified, thermal tolerance has a complex polygenic inheritance nature, which was expected considering the various mechanisms involved in thermal stress response.
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Affiliation(s)
- Pedro H. F. Freitas
- Department of Animal Sciences, Purdue University, West Lafayette, IN, United States
| | - Yachun Wang
- Key Laboratory of Animal Genetics, Breeding and Reproduction, MARA – National Engineering Laboratory for Animal Breeding – College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Ping Yan
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, China
| | - Hinayah R. Oliveira
- Department of Animal Sciences, Purdue University, West Lafayette, IN, United States
- Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON, Canada
| | - Flavio S. Schenkel
- Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON, Canada
| | - Yi Zhang
- Key Laboratory of Animal Genetics, Breeding and Reproduction, MARA – National Engineering Laboratory for Animal Breeding – College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Qing Xu
- College of Life Sciences and Bioengineering, School of Science, Beijing Jiaotong University, Beijing, China
| | - Luiz F. Brito
- Department of Animal Sciences, Purdue University, West Lafayette, IN, United States
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45
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Bogaerts‐Márquez M, Guirao‐Rico S, Gautier M, González J. Temperature, rainfall and wind variables underlie environmental adaptation in natural populations of Drosophila melanogaster. Mol Ecol 2021; 30:938-954. [PMID: 33350518 PMCID: PMC7986194 DOI: 10.1111/mec.15783] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Revised: 12/16/2020] [Accepted: 12/18/2020] [Indexed: 02/06/2023]
Abstract
While several studies in a diverse set of species have shed light on the genes underlying adaptation, our knowledge on the selective pressures that explain the observed patterns lags behind. Drosophila melanogaster is a valuable organism to study environmental adaptation because this species originated in Southern Africa and has recently expanded worldwide, and also because it has a functionally well-annotated genome. In this study, we aimed to decipher which environmental variables are relevant for adaptation of D. melanogaster natural populations in Europe and North America. We analysed 36 whole-genome pool-seq samples of D. melanogaster natural populations collected in 20 European and 11 North American locations. We used the BayPass software to identify single nucleotide polymorphisms (SNPs) and transposable elements (TEs) showing signature of adaptive differentiation across populations, as well as significant associations with 59 environmental variables related to temperature, rainfall, evaporation, solar radiation, wind, daylight hours, and soil type. We found that in addition to temperature and rainfall, wind related variables are also relevant for D. melanogaster environmental adaptation. Interestingly, 23%-51% of the genes that showed significant associations with environmental variables were not found overly differentiated across populations. In addition to SNPs, we also identified 10 reference transposable element insertions associated with environmental variables. Our results showed that genome-environment association analysis can identify adaptive genetic variants that are undetected by population differentiation analysis while also allowing the identification of candidate environmental drivers of adaptation.
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Affiliation(s)
- María Bogaerts‐Márquez
- Institute of Evolutionary Biology (CSIC‐Universitat Pompeu Fabra)BarcelonaSpain
- The European Drosophila Population Genomics Consortium (DrosEU)Université de MontpellierMontpellierFrance
| | - Sara Guirao‐Rico
- Institute of Evolutionary Biology (CSIC‐Universitat Pompeu Fabra)BarcelonaSpain
- The European Drosophila Population Genomics Consortium (DrosEU)Université de MontpellierMontpellierFrance
| | - Mathieu Gautier
- CBGP, INRA, CIRAD, IRD, Montpellier SupAgroUniversité de MontpellierMontpellierFrance
| | - Josefa González
- Institute of Evolutionary Biology (CSIC‐Universitat Pompeu Fabra)BarcelonaSpain
- The European Drosophila Population Genomics Consortium (DrosEU)Université de MontpellierMontpellierFrance
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46
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Gorssen W, Meyermans R, Janssens S, Buys N. A publicly available repository of ROH islands reveals signatures of selection in different livestock and pet species. Genet Sel Evol 2021; 53:2. [PMID: 33397285 PMCID: PMC7784028 DOI: 10.1186/s12711-020-00599-7] [Citation(s) in RCA: 60] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Accepted: 12/11/2020] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND Runs of homozygosity (ROH) have become the state-of-the-art method for analysis of inbreeding in animal populations. Moreover, ROH are suited to detect signatures of selection via ROH islands and are used in other applications, such as genomic prediction and genome-wide association studies (GWAS). Currently, a vast amount of single nucleotide polymorphism (SNP) data is available online, but most of these data have never been used for ROH analysis. Therefore, we performed a ROH analysis on large medium-density SNP datasets in eight animal species (cat, cattle, dog, goat, horse, pig, sheep and water buffalo; 442 different populations) and make these results publicly available. RESULTS The results include an overview of ROH islands per population and a comparison of the incidence of these ROH islands among populations from the same species, which can assist researchers when studying other (livestock) populations or when looking for similar signatures of selection. We were able to confirm many known ROH islands, for example signatures of selection for the myostatin (MSTN) gene in sheep and horses. However, our results also included multiple other ROH islands, which are common to many populations and not identified to date (e.g. on chromosomes D4 and E2 in cats and on chromosome 6 in sheep). CONCLUSIONS We are confident that our repository of ROH islands is a valuable reference for future studies. The discovered ROH island regions represent a unique starting point for new studies or can be used as a reference for future studies. Furthermore, we encourage authors to add their population-specific ROH findings to our repository.
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Affiliation(s)
- Wim Gorssen
- Livestock Genetics, Department of Biosystems, KU Leuven, Kasteelpark Arenberg 30, Box 2472, 3001, Leuven, Belgium
| | - Roel Meyermans
- Livestock Genetics, Department of Biosystems, KU Leuven, Kasteelpark Arenberg 30, Box 2472, 3001, Leuven, Belgium
| | - Steven Janssens
- Livestock Genetics, Department of Biosystems, KU Leuven, Kasteelpark Arenberg 30, Box 2472, 3001, Leuven, Belgium
| | - Nadine Buys
- Livestock Genetics, Department of Biosystems, KU Leuven, Kasteelpark Arenberg 30, Box 2472, 3001, Leuven, Belgium.
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47
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Liu Y, Xu L, Yang L, Zhao G, Li J, Liu D, Li Y. Discovery of Genomic Characteristics and Selection Signatures in Southern Chinese Local Cattle. Front Genet 2020; 11:533052. [PMID: 33391332 PMCID: PMC7775540 DOI: 10.3389/fgene.2020.533052] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2020] [Accepted: 11/27/2020] [Indexed: 01/20/2023] Open
Abstract
Chinese local cattle with a high level of genetic diversity mainly originate from two subspecies; the cattle in northern China are primarily Bos Taurus, and the cattle in southern China are primarily Bos indicus. Cattle from southern China are characterized by a specific phenotype and adapted to the local environment. This study explored the genetic diversity, degree of admixture, and selection signature in eight local cattle breeds in southern China. The lowest level of heterozygosity was found in Hainan and Nandan cattle from Hainan and Guangxi province, respectively, whereas the highest level of heterozygosity was detected in Zhaotong cattle from Yunnan province. A neighbor-joining phylogenetic tree analysis clearly separated Lufeng cattle from other breeds, whereas Leiqiong and Hainan cattle have some crossover. Based on linkage disequilibrium-filtered single nucleotide polymorphisms (SNPs), the admixture analysis revealed two clusters corresponding to the taurine and indicine cattle lineages, and the local cattle breeds from southern China showed a certain degree of admixture. When K = 4 and 9, we found a slight separation among Leiqiong, Lufeng, and Hainan cattle. Meanwhile, we performed a selection signature analysis in Hainan, Leiqiong, and Lufeng cattle distributed in the extreme south of China, using the integrated haplotype score (iHS), Rsb statistic, and BayeScan software. Using the iHS approach, we identified 251, 270, and 256 candidate regions in Lufeng, Leiqiong, and Hainan cattle, respectively. Moreover, we identified 184, 174, and 146 candidate regions in pairwise comparisons of Leiqiong vs. Lufeng, Leiqiong vs. Hainan, and Hainan vs. Lufeng cattle using the Rsb approach. In addition, we identified 76 loci with a total of 48 genes under selection, based on the FST approach. Several candidate genes under selection were found to be related to meat quality, immunity, and adaptation to the local environment in southern China. Our results provide significant information about the genetic differences among the cattle breeds from southern China and the possible cause of difference in breed-specific characteristics. Selection signature analysis identified a few candidate SNPs and genes related to certain important traits of these cattle. In general, our results provide valuable insights into the genetic basis of specific traits under selection in certain local cattle breeds.
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Affiliation(s)
- Yuqiang Liu
- College of Animal Science, South China Agricultural University, Guangzhou, China.,Innovation Team of Cattle Genetic Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.,Lingnan Guangdong Laboratory of Modern Agriculture, Guangzhou, China
| | - Lingyang Xu
- Innovation Team of Cattle Genetic Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Liu Yang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, China
| | - Guoyao Zhao
- Innovation Team of Cattle Genetic Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Junya Li
- Innovation Team of Cattle Genetic Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Dewu Liu
- College of Animal Science, South China Agricultural University, Guangzhou, China.,Lingnan Guangdong Laboratory of Modern Agriculture, Guangzhou, China
| | - Yaokun Li
- College of Animal Science, South China Agricultural University, Guangzhou, China.,Lingnan Guangdong Laboratory of Modern Agriculture, Guangzhou, China
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48
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Cai C, Huang B, Qu K, Zhang J, Lei C. A novel missense mutation within KRT75 gene strongly affects heat stress in Chinese cattle. Gene 2020; 768:145294. [PMID: 33181250 DOI: 10.1016/j.gene.2020.145294] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2020] [Revised: 10/29/2020] [Accepted: 11/04/2020] [Indexed: 12/14/2022]
Abstract
The KRT75 gene (Keratin 75) is a member of the type II epithelial α-keratin gene family which plays a key role in hair and nail formation. And the coat conformation affects heat tolarence in mammals. Therefore, the aim of this study was to identify novel single nucleotide polymorphisms (SNPs) of the KRT75 gene and further evaluate its relation to heat stress in Chinese cattle. A missense mutation (NC_037332.1: g.1052 T > C) of the bovine KRT75 was identified using the Bovine Genome Variation Database (BGVD). The g.1052 T > C variant was then genotyped in 519 individuals of 22 cattle breeds. Further analyses showed that the frequency of T allele in Chinese indigenous cattle breeds gradually diminished from northern groups to southern groups, whereas the frequency of C allele displayed a contrary patternl. Simultaneously, the frequency of the CC and CT genotype for southern groups was much greater than that of the TT genotype. Additionally, association analysis showed the genotypes were remarkably associated with mean annual temperature (T), relative humidity (RH) and temperature humidity index (THI) (P < 0.01). Our results demonstrated that the KRT75 gene might be a candidate gene associated with the heat stress in Chinese cattle.
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Affiliation(s)
- Cuicui Cai
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Bizhi Huang
- Yunnan Academy of Grassland Animal Science, Kunming 650212, China
| | - Kaixing Qu
- Yunnan Academy of Grassland Animal Science, Kunming 650212, China
| | - Jicai Zhang
- Yunnan Academy of Grassland Animal Science, Kunming 650212, China
| | - Chuzhao Lei
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China.
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49
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Cao Y, Jia P, Wu Z, Huang M, Chen S, Zhang J, Huang B, Lei C. A novel SNP of MYO1A gene associated with heat-tolerance in Chinese cattle. Anim Biotechnol 2020; 33:810-815. [PMID: 33146068 DOI: 10.1080/10495398.2020.1837147] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
With the advent of global climate change, heat-tolerance is becoming more and more important to the sustainability of animal husbandry production systems. Previous studies have shown that MYO1A gene associated with pigmentation may be closely related to heat-tolerance in cattle. In this study, a novel missense mutation (NC_037332.1 g.56390345 A > G) was first detected in MYO1A in 891 individuals of 35 cattle breeds, which transformed the amino acid isoleucine into valine. The purpose of this study was to determine the allele frequencies distribution of this locus in Chinese indigenous cattle and to analyze the relationship between this locus and heat-tolerance. Further analysis showed that frequency of wild allele A decreased gradually from northern cattle to southern cattle, whereas frequency of mutant type allele G showed the opposite pattern, which was consistent with the distribution of various climatic conditions of China. Additionally, association analysis was carried out between genotypes and four climatic conditions (annual mean temperature (T), relative humidity (H), temperature-humidity index (THI) and average annual sunshine hours (100-cloudiness) (SR)). Analysis results showed that genotypes were significantly correlated with climatic conditions. Therefore, our results suggest that the novel SNP (rs209559414) is related to heat-tolerance trait of Chinese indigenous cattle.
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Affiliation(s)
- Yanhong Cao
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China.,The Animal Husbandry Research Institute of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Peng Jia
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Zhuyue Wu
- The Animal Husbandry Research Institute of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Mingguang Huang
- The Animal Husbandry Research Institute of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Shaomei Chen
- The Animal Husbandry Research Institute of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Jicai Zhang
- Yunnan Academy of Grassland and Animal Science, Kunming, China
| | - Bizhi Huang
- Yunnan Academy of Grassland and Animal Science, Kunming, China
| | - Chuzhao Lei
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China
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50
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Zhou H, Huang B, Qu K, Liu J, Zhang J, Lei C. The distribution of four missense mutations in SPTBN5 gene across native Chinese breeds. Anim Biotechnol 2020; 33:796-800. [PMID: 33063596 DOI: 10.1080/10495398.2020.1831521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
Modern cattle belong to two subspecies, Bos taurus and Bos indicus. Since divergence, cattle types have accumulated different genetic variations, which have contributed to highly differentiated phenotypes. The mammalian inner ear possesses functional and morphological innovations that contribute to its unique hearing capacities. The spectrin beta, non-erythrocytic 5 (SPTBN5) gene has been shown to play an important function in the inner ear. Four missense mutations: rs522333459 (c.7232G > C:p.Cys2411Ser), rs718838405 (c.6568A > C:p.Met2190Leu), rs516536785 (c.6283C > T:p.Leu2095Phe) and rs480278206 (c.4201T > C:p.Cys1401Arg) were identified in the bovine SPTBN5 gene by whole genome resequencing (http://animal.nwsuaf.edu.cn/code/index.php/BosVar), which might be candidate mutations related with hearing of both taurine and indicine cattle. In our study, PCR and DNA sequencing were used to explore the allele frequencies of four mutations of 971 individuals belonging to 38 native Chinese cattle breeds. We find that four mutant alleles showing strong geographic distribution, consisting with the ancestry distribution of taurine and indicine in China. In addition, we identified four mutations of SPTBN5 were diverged in taurine and indicine cattle showing signatures of adaptive evolution in two subspecies, which might participate in bovine inner ear development.
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Affiliation(s)
- Hongchao Zhou
- College of Veterinary Medicine, Northwest A&F University, Yangling, Shaanxi, China
| | - Bizhi Huang
- Yunnan Academy of Grassland Animal Science, Kunming, China
| | - Kaixing Qu
- Yunnan Academy of Grassland Animal Science, Kunming, China
| | - Jianyong Liu
- Yunnan Academy of Grassland Animal Science, Kunming, China
| | - Jicai Zhang
- Yunnan Academy of Grassland Animal Science, Kunming, China
| | - Chuzhao Lei
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
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