1
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Sun T, Pei S, Liu Y, Hanif Q, Xu H, Chen N, Lei C, Yue X. Whole genome sequencing of simmental cattle for SNP and CNV discovery. BMC Genomics 2023; 24:179. [PMID: 37020271 PMCID: PMC10077681 DOI: 10.1186/s12864-023-09248-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Accepted: 03/14/2023] [Indexed: 04/07/2023] Open
Abstract
BACKGROUD The single nucleotide polymorphisms (SNPs) and copy number variations (CNVs) are two major genomic variants, which play crucial roles in evolutionary and phenotypic diversity. RESULTS In this study, we performed a comprehensive analysis to explore the genetic variations (SNPs and CNVs) of high sperm motility (HSM) and poor sperm motility (PSM) Simmental bulls using the high-coverage (25×) short-read next generation sequencing and single-molecule long reads sequencing data. A total of ~ 15 million SNPs and 2,944 CNV regions (CNVRs) were detected in Simmental bulls, and a set of positive selected genes (PSGs) and CNVRs were found to be overlapped with quantitative trait loci (QTLs) involving immunity, muscle development, reproduction, etc. In addition, we detected two new variants in LEPR, which may be related to the artificial breeding to improve important economic traits. Moreover, a set of genes and pathways functionally related to male fertility were identified. Remarkably, a CNV on SPAG16 (chr2:101,427,468 - 101,429,883) was completely deleted in all poor sperm motility (PSM) bulls and half of the bulls in high sperm motility (HSM), which may play a crucial role in the bull-fertility. CONCLUSIONS In conclusion, this study provides a valuable genetic variation resource for the cattle breeding and selection programs.
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Affiliation(s)
- Ting Sun
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, College of Pastoral Agriculture Science and Technology, Ministry of Education, Lanzhou University, Lanzhou, 730020, P. R. China
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, Shaanxi, China
- College of Life Sciences, Shaanxi Normal University, Xi'an, 710062, China
| | - Shengwei Pei
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, College of Pastoral Agriculture Science and Technology, Ministry of Education, Lanzhou University, Lanzhou, 730020, P. R. China
| | - Yangkai Liu
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, College of Pastoral Agriculture Science and Technology, Ministry of Education, Lanzhou University, Lanzhou, 730020, P. R. China
| | - Quratulain Hanif
- Computational Biology Laboratory, Agricultural Biotechnology Division, National Institute for Biotechnology and Genetic Engineering, Faisalabad, Pakistan
- Department of Biotechnology, Pakistan Institute of Engineering and Applied Sciences, Nilore, Islamabad, Pakistan
| | - Haiyue Xu
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, College of Pastoral Agriculture Science and Technology, Ministry of Education, Lanzhou University, Lanzhou, 730020, P. R. 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, Shaanxi, 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, Shaanxi, China
| | - Xiangpeng Yue
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, College of Pastoral Agriculture Science and Technology, Ministry of Education, Lanzhou University, Lanzhou, 730020, P. R. China.
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2
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Li S, Lei H, Li J, Sun A, Ahmed Z, Duan H, Chen L, Zhang B, Lei C, Yi K. Analysis of genetic diversity and selection signals in Chaling cattle of southern China using whole-genome scan. Anim Genet 2023; 54:284-294. [PMID: 36864643 DOI: 10.1111/age.13305] [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: 10/12/2022] [Revised: 01/12/2023] [Accepted: 01/30/2023] [Indexed: 03/04/2023]
Abstract
China has diversified resources of indigenous cattle, which are classified into Northern, Central, and Southern groups according to their geographical distribution. Chaling cattle belong to Southern group. This breed is famous for the production of good quality meat with elite meat grades. To analyze the genetic diversity of Chaling cattle, 20 samples were sequenced using whole-genome resequencing technology, along with 138 published whole-genome sequencing data of Indian indicine cattle, Chinese indicine cattle, East Asian taurine cattle, Eurasian taurine cattle, and European taurine cattle as control. It was found that Chaling cattle originated from Chinese indicine cattle. The genetic diversity of Chaling cattle is higher than that of Indian indicine cattle, East Asian taurine cattle, Eurasian taurine cattle, and European taurine cattle, but lower than that of Chinese indicine cattle and Xiangxi cattle. Annotating the selection signals obtained by composite likelihood ratio, θπ, FST , π-ratio, and XP-EHH methods, several genes associated with immunity, heat tolerance, reproduction, growth, and meat quality showed strong selection signals. In general, this study provides a theoretical basis for analyzing the genetic mechanism of Chaling cattle with excellent adaptability, rough feeding tolerance, good immune performance, and good meat quality. This work lays a foundation for genetic breeding of Chaling cattle in future.
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Affiliation(s)
- Shuang Li
- Hunan Institute of Animal and Veterinary Science, Changsha, Hunan, China.,Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, China
| | - Hong Lei
- Hunan Institute of Animal and Veterinary Science, Changsha, Hunan, China
| | - Jianbo Li
- Hunan Institute of Animal and Veterinary Science, Changsha, Hunan, China
| | - Ao Sun
- Hunan Institute of Animal and Veterinary Science, Changsha, Hunan, China
| | - Zulfiqar Ahmed
- Department of Livestock and Poultry Production, Faculty of Veterinary and Animal Science, University of Poonch Rawalakot, Azad Kashmir, Pakistan
| | - Hongfeng Duan
- Hunan Institute of Animal and Veterinary Science, Changsha, Hunan, China
| | - Lin Chen
- Chaling County Agricultural Development Corporation Ltd, Chaling, Hunan, China
| | - Baizhong Zhang
- Hunan Institute of Animal and Veterinary Science, Changsha, Hunan, 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, Shaanxi, China
| | - Kangle Yi
- Hunan Institute of Animal and Veterinary Science, Changsha, Hunan, China
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3
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Vijayakumar P, Singaravadivelan A, Mishra A, Jagadeesan K, Bakyaraj S, Suresh R, Sivakumar T. Whole-Genome comparative analysis reveals genetic mechanisms of disease resistance and heat tolerance of tropical Bos indicus cattle breeds. Genome 2021; 65:241-254. [PMID: 34914549 DOI: 10.1139/gen-2021-0030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
The Bos indicus cattle breeds have been naturally selected over thousands of years for disease resistance and thermo-tolerance. However, a genetic mechanism of these specific inherited characteristics needs to be discovered. Hence, in this study, the whole-genome comparative analysis of Bos indicus cattle breeds of Kangayam, Tharparkar, Sahiwal, Red Sindhi, and Hariana of the Indian subcontinent was conducted. The genetic variants identification analysis revealed a total of 15,58,51,012 SNPs and 1,00,62,805 InDels in the mapped reads across all Bos indicus cattle breeds. The functional annotation of 17,252 genes that comprised both, SNPs and InDels, of high functional impact on proteins, has been carried out. The functional annotation results revealed the pathways that were involved in the innate immune response including toll-like receptors, a retinoic acid-inducible gene I like receptors, NOD-like receptors, Jak-STAT signaling pathways, and the non-synonymous variants in the candidate immune genes. Further, we also identified several pathways involved in heat shock response, hair and skin properties, oxidative stress response, osmotic stress response, thermal sweating, feed intake, metabolism, and the non-synonymous variants in the candidate thermo-tolerant genes. These pathways and genes were directly or indirectly contributing to the disease resistance and thermo-tolerance adaptations of Bos indicus cattle breeds.
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Affiliation(s)
- Periyasamy Vijayakumar
- Veterinary College and Research Institute, TANUVAS, Animal Genetics and Breeding, Livestock Farm Comlex, Orathanadu, Tamil Nadu, India, 6145 625;
| | - Arunasalam Singaravadivelan
- Veterinary College and Research Institute, TANUVAS, Livestock Production Management, VCRI, Orathanadu, Orathanadu, Tamil Nadu, India, 614 625;
| | - Anamika Mishra
- High Security Animal Disease laboratory, Indian Veterinary Research Institute, Anand Nagar, Bhopal, Madhya Pradesh, India, 462021;
| | - Krishnan Jagadeesan
- University Training and Research Centre, Pillayarpatty - 613 403, , Animal Genetics and Breeding, Thanjavur, Tamil Nadu, India;
| | - Sanniyasi Bakyaraj
- College of Poultry Production and Management, TANUVAS, Hosur, Tamil nadu, India;
| | - Ramalingam Suresh
- Veterinary College and Research Institute, TANUVAS, Animal Genetics and Breeding, VETERINARY COLLEGE AND RESEARCH INSTITUTE, Orathanadu, Tamil Nadu, India, 243122.,Indian Veterinary Research Institute, 30072, 117, Salihothra Hostel (4th hostel), IVRI, BAREILLY, Izatnagar, UTTAR PRADESH, India, 243122;
| | - Thiagarajan Sivakumar
- Veterinary College and Research Institute, TANUVAS, Livestock Production Management, Orathanadu, Tamil Nadu, India;
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4
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Mariadassou M, Ramayo-Caldas Y, Charles M, Féménia M, Renand G, Rocha D. Detection of selection signatures in Limousin cattle using whole-genome resequencing. Anim Genet 2020; 51:815-819. [PMID: 32686174 DOI: 10.1111/age.12982] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/16/2020] [Indexed: 12/27/2022]
Abstract
Limousin, a renowned beef breed originating from central France, has been selectively bred over the last 100 years to improve economically important traits. We used whole-genome sequencing data from 10 unrelated Limousin bull calves to detect polymorphisms and identify regions under selection. A total of 13 943 766 variants were identified. Moreover, 311 852 bi-allelic SNPs and 92 229 indels located on autosomes were fixed for the alternative allele in all sequenced animals, including the previously reported missense deleterious F94L mutation in MSTN. We performed a whole-genome screen to discover genomic regions with excess homozygosity, using the pooled heterozygosity score and identified 171 different candidate selective sweeps. In total, 68 candidate genes were found in only 57 of these regions, indicating that a large fraction of the genome under selection might lie in non-coding regions and suggesting that a majority of adaptive mutations might be regulatory in nature. Many QTL were found within candidate selective sweep regions, including QTL associated with shear force or carcass weight. Among the putative selective sweeps, we located genes (MSTN, NCKAP5, RUNX2) that potentially contribute to important phenotypes in Limousin. Several candidate regions and genes under selection were also found in previous genome-wide selection scans performed in Limousin. In addition, we were able to pinpoint candidate causative regulatory polymorphisms in GRIK3 and RUNX2 that might have been under selection. Our results will contribute to improved understanding of the mechanisms and targets of artificial selection and will facilitate the interpretation of GWASs performed in Limousin.
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Affiliation(s)
- M Mariadassou
- INRAE, MaIAGE, Université Paris-Saclay, Jouy-en-Josas, F-78350, France
| | - Y Ramayo-Caldas
- INRAE, AgroParisTech, GABI, Université Paris-Saclay, Jouy-en-Josas, F-78350, France.,Animal Breeding and Genetics Program, Institute for Research and Technology in Food and Agriculture, Torre Marimon, Caldes de Montbui, 08140, Spain
| | - M Charles
- INRAE, AgroParisTech, GABI, Université Paris-Saclay, Jouy-en-Josas, F-78350, France.,INRAE, SIGENAE, Université Paris-Saclay, Jouy-en-Josas, F-78350, France
| | - M Féménia
- INRAE, AgroParisTech, GABI, Université Paris-Saclay, Jouy-en-Josas, F-78350, France
| | - G Renand
- INRAE, AgroParisTech, GABI, Université Paris-Saclay, Jouy-en-Josas, F-78350, France
| | - D Rocha
- INRAE, AgroParisTech, GABI, Université Paris-Saclay, Jouy-en-Josas, F-78350, France
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5
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Lado S, Elbers JP, Doskocil A, Scaglione D, Trucchi E, Banabazi MH, Almathen F, Saitou N, Ciani E, Burger PA. Genome-wide diversity and global migration patterns in dromedaries follow ancient caravan routes. Commun Biol 2020; 3:387. [PMID: 32678279 PMCID: PMC7366924 DOI: 10.1038/s42003-020-1098-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2019] [Accepted: 06/19/2020] [Indexed: 02/06/2023] Open
Abstract
Dromedaries have been essential for the prosperity of civilizations in arid environments and the dispersal of humans, goods and cultures along ancient, cross-continental trading routes. With increasing desertification their importance as livestock species is rising rapidly, but little is known about their genome-wide diversity and demographic history. As previous studies using few nuclear markers found weak phylogeographic structure, here we detected fine-scale population differentiation in dromedaries across Asia and Africa by adopting a genome-wide approach. Global patterns of effective migration rates revealed pathways of dispersal after domestication, following historic caravan routes like the Silk and Incense Roads. Our results show that a Pleistocene bottleneck and Medieval expansions during the rise of the Ottoman empire have shaped genome-wide diversity in modern dromedaries. By understanding subtle population structure we recognize the value of small, locally adapted populations and appeal for securing genomic diversity for a sustainable utilization of this key desert species.
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Affiliation(s)
- Sara Lado
- Research Institute of Wildlife Ecology, Department of Interdisciplinary Life Sciences, University of Veterinary Medicine Vienna, Savoyenstrasse 1, 1160, Vienna, Austria
| | - Jean Pierre Elbers
- Research Institute of Wildlife Ecology, Department of Interdisciplinary Life Sciences, University of Veterinary Medicine Vienna, Savoyenstrasse 1, 1160, Vienna, Austria
| | - Angela Doskocil
- Research Institute of Wildlife Ecology, Department of Interdisciplinary Life Sciences, University of Veterinary Medicine Vienna, Savoyenstrasse 1, 1160, Vienna, Austria
| | - Davide Scaglione
- IGA Technology Services, Via Jacopo Linussio, 51, 33100, Udine, Italy
| | - Emiliano Trucchi
- Department of Life and Environmental Sciences, Marche Polytechnic University, Via Brecce Bianche, 60131, Ancona, Italy
| | - Mohammad Hossein Banabazi
- Department of Biotechnology, Animal Science Research Institute of Iran (ASRI), Agricultural Research, Education & Extension Organization (AREEO), Karaj, 3146618361, Iran
| | - Faisal Almathen
- Department of Veterinary Public Health, College of Veterinary Medicine, King Faisal University, Al-Hasa, Saudi Arabia
- The Camel Research Center, King Faisal University, Al-Hasa, Saudi Arabia
| | - Naruya Saitou
- Population Genetics Laboratory, National Institute of Genetics, 1111 Yata, Mishima, 411-8540, Japan
| | - Elena Ciani
- Department of Biosciences, Biotechnologies and Biopharmaceutics, University of Bari Aldo Moro, Via Orabona, 4, 70125, Bari, Italy.
| | - Pamela Anna Burger
- Research Institute of Wildlife Ecology, Department of Interdisciplinary Life Sciences, University of Veterinary Medicine Vienna, Savoyenstrasse 1, 1160, Vienna, Austria.
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6
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Mastrangelo S, Ben Jemaa S, Ciani E, Sottile G, Moscarelli A, Boussaha M, Montedoro M, Pilla F, Cassandro M. Genome-wide detection of signatures of selection in three Valdostana cattle populations. J Anim Breed Genet 2020; 137:609-621. [PMID: 32219904 DOI: 10.1111/jbg.12476] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2019] [Revised: 02/28/2020] [Accepted: 03/08/2020] [Indexed: 12/15/2022]
Abstract
The Valdostana is a local dual purpose cattle breed developed in Italy. Three populations are recognized within this breed, based on coat colour, production level, morphology and temperament: Valdostana Red Pied (VPR), Valdostana Black Pied (VPN) and Valdostana Chestnut (VCA). Here, we investigated putative genomic regions under selection among these three populations using the Bovine 50K SNP array by combining three different statistical methods based either on allele frequencies (FST ) or extended haplotype homozygosity (iHS and Rsb). In total, 8, 5 and 8 chromosomes harbouring 13, 13 and 16 genomic regions potentially under selection were identified by at least two approaches in VPR, VPN and VCA, respectively. Most of these candidate regions were population-specific but we found one common genomic region spanning 2.38 Mb on BTA06 which either overlaps or is located close to runs of homozygosity islands detected in the three populations. This region included inter alia two well-known genes: KDR, a well-established coat colour gene, and CLOCK, which plays a central role in positive regulation of inflammatory response and in the regulation of the mammalian circadian rhythm. The other candidate regions identified harboured genes associated mainly with milk and meat traits as well as genes involved in immune response/inflammation or associated with behavioural traits. This last category of genes was mainly identified in VCA, which is selected for fighting ability. Overall, our results provide, for the first time, a glimpse into regions of the genome targeted by selection in Valdostana cattle. Finally, this study illustrates the relevance of using multiple complementary approaches to identify genomic regions putatively under selection in livestock.
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Affiliation(s)
- Salvatore Mastrangelo
- Dipartimento Scienze Agrarie, Alimentari e Forestali, University of Palermo, Palermo, Italy
| | - Slim Ben Jemaa
- Laboratoire des Productions Animales et Fourragères, Institut National de la Recherche Agronomique de Tunisie, Université de Carthage, Ariana, Tunisia
| | - Elena Ciani
- Dipartimento di Bioscienze Biotecnologie e Biofarmaceutica, University of Bari, Bari, Italy
| | - Gianluca Sottile
- Dipartimento Scienze Economiche, Aziendali e Statistiche, University of Palermo, Palermo, Italy
| | - Angelo Moscarelli
- Dipartimento Scienze Agrarie, Alimentari e Forestali, University of Palermo, Palermo, Italy
| | - Mekki Boussaha
- INRAE, AgroParisTech, GABI, Université Paris Saclay, Jouy-en-Josas, France
| | - Marina Montedoro
- Istituto Sperimentale Italiano Lazzaro Spallanzani, Rivolta d'Adda, Italy
| | - Fabio Pilla
- Dipartimento di Agricoltura, Ambiente e Alimenti, University of Molise, Campobasso, Italy
| | - Martino Cassandro
- Dipartimento di Agronomia Animali Alimenti Risorse naturali e Ambiente, University of Padova, Legnaro, Italy
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7
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Boudon S, Henry-Berger J, Cassar-Malek I. Aggregation of Omic Data and Secretome Prediction Enable the Discovery of Candidate Plasma Biomarkers for Beef Tenderness. Int J Mol Sci 2020; 21:E664. [PMID: 31963926 PMCID: PMC7013622 DOI: 10.3390/ijms21020664] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2019] [Revised: 01/15/2020] [Accepted: 01/16/2020] [Indexed: 12/18/2022] Open
Abstract
Beef quality is a complex phenotype that can be evaluated only after animal slaughtering. Previous research has investigated the potential of genetic markers or muscle-derived proteins to assess beef tenderness. Thus, the use of low-invasive biomarkers in living animals is an issue for the beef sector. We hypothesized that publicly available data may help us discovering candidate plasma biomarkers. Thanks to a review of the literature, we built a corpus of articles on beef tenderness. Following data collection, aggregation, and computational reconstruction of the muscle secretome, the putative plasma proteins were searched by comparison with a bovine plasma proteome atlas and submitted to mining of biological information. Of the 44 publications included in the study, 469 unique gene names were extracted for aggregation. Seventy-one proteins putatively released in the plasma were revealed. Among them 13 proteins were predicted to be secreted in plasma, 44 proteins as hypothetically secreted in plasma, and 14 additional candidate proteins were detected thanks to network analysis. Among these 71 proteins, 24 were included in tenderness quantitative trait loci. The in-silico workflow enabled the discovery of candidate plasma biomarkers for beef tenderness from reconstruction of the secretome, to be examined in the cattle plasma proteome.
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Affiliation(s)
- Sabrina Boudon
- Université Clermont Auvergne, INRAE, VetAgro Sup, UMR Herbivores, F-63122 Saint-Genes-Champanelle, France;
| | - Joelle Henry-Berger
- Université Clermont Auvergne, GReD, UMR CNRS 6293–Inserm U1103, 63001 Clermont-Ferrand, France;
| | - Isabelle Cassar-Malek
- Université Clermont Auvergne, INRAE, VetAgro Sup, UMR Herbivores, F-63122 Saint-Genes-Champanelle, France;
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8
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Li R, Li C, Chen H, Li R, Chong Q, Xiao H, Chen S. Genome-wide scan of selection signatures in Dehong humped cattle for heat tolerance and disease resistance. Anim Genet 2019; 51:292-299. [PMID: 31887783 DOI: 10.1111/age.12896] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/30/2019] [Indexed: 01/11/2023]
Abstract
Dehong humped cattle (DHH) is an indigenous zebu breed from southwestern China that possesses characteristics of heat tolerance and strong disease resistance and adapts well to the local tropical and subtropical climatic conditions. However, information on selection signatures of DHH is scarce. Herein, we compared the genomes of DHH and each of Diqing and Zhaotong cattle breeds using the population differentiation index (FST ), cross-population extended haplotype homozygosity (XP-EHH) and cross-population composite likelihood ratio (XP-CLR) methods to explore the genomic signatures of heat tolerance and disease resistance in DHH. Several pathways and genes carried selection signatures, including thermal sweating (calcium signaling pathway), heat shock (HSF1) and oxidative stress response (PLCB1, PLCB4), coat color (RAB31), feed intake (ATP8A1, SHC3) and reproduction (TP63, MAP3K13, PTPN4, PPP3CC, ADAMTSL1, SS18L1, OSBPL2, TOX, RREB1, GRK2). These identified pathways and genes may contribute to heat tolerance in DHH. Simultaneously, we also identified LIPH, TP63 and CBFA2T3 genes under positive selection that were associated with immunity.
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Affiliation(s)
- R Li
- School of Life Sciences, Yunnan University, Kunming, Yunnan, 650500, China
| | - C Li
- School of Life Sciences, Yunnan University, Kunming, Yunnan, 650500, China.,National Demonstration Center for Experimental Life Sciences Education, Yunnan University, Kunming, Yunnan, 650500, China
| | - H Chen
- School of Life Sciences, Yunnan University, Kunming, Yunnan, 650500, China
| | - R Li
- School of Life Sciences, Yunnan University, Kunming, Yunnan, 650500, China
| | - Q Chong
- School of Life Sciences, Yunnan University, Kunming, Yunnan, 650500, China
| | - H Xiao
- School of Life Sciences, Yunnan University, Kunming, Yunnan, 650500, China
| | - S Chen
- School of Life Sciences, Yunnan University, Kunming, Yunnan, 650500, China.,National Demonstration Center for Experimental Life Sciences Education, Yunnan University, Kunming, Yunnan, 650500, China
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9
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Gomez-Raya L, Rauw WM, Dunkelberger JR, Dekkers JCM. Autozygosity and Genetic Differentiation of Landrace and Large White Pigs as Revealed by the Genetic Analyses of Crossbreds. Front Genet 2019; 10:739. [PMID: 31543894 PMCID: PMC6739446 DOI: 10.3389/fgene.2019.00739] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2019] [Accepted: 07/15/2019] [Indexed: 11/17/2022] Open
Abstract
Genomic information from crossbreds is routinely generated for genomic evaluations. The objective of this study is to investigate autozygosity and genetic differentiation in Landrace by Large-White breeds by using the genotypic information of SNP arrays in 1,173 crossbreds. A maximum likelihood approach was developed to estimate the probability of autozygosity (FL). Regions of differentiation between breeds were investigated using FST and the difference in allele frequencies between the two parental breeds (릌Δ) at each single-nucleotide polymorphism (SNP) position. A maximum likelihood approach was proposed to estimate allele frequencies in the parental populations. The average length of runs of homozygosity (ROH) across the genome was 3.91, 2.3, and 0.7 Mb for segments with at least 25, 15, and 5 SNPs, respectively. Average age to coalesce was 46, 414, and 388 years for segments with at least 25, 15, and 5 SNPs, respectively. The probability of autozygosity was not uniform along the crossbred genome, being higher at the center for most chromosomes. The correlation between autozygosity and distance to the closest telomere was positive and significant in most chromosomes, which could be attributed to the higher recombination rate near telomeres. We also report a relatively high negative correlation between probability of recombination (from a published map) and probability of autozygosity. It supports that structural characteristics of the chromosomes related to recombination rate determine autozygosity at each chromosomal position of the pig genome. The average is Δ across the genome was 0.17 (SD = 0.16). After testing for differences in allele frequencies between the parental breeds, there were 4,184 SNPs with a likelihood ratio test, LRT ≥ 32.02. The average FST across the genome was 0.038 (SD = 0.059). There were 2,949 SNPs with FST > 0.125. The correlation between estimates of FL and estimates of FST across the genome was -0.10 (SE = 0.006). Analysis of the gene content of the genomic regions with the 2000 SNPs with highest LRT for FL and high FST showed overrepresentation of genes with a regulatory function. Genes with biological functions associated with production, such as tissue development, anatomical structure, and animal organ development, were also overrepresented in regions with a high FST.
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Affiliation(s)
- Luis Gomez-Raya
- Department of Animal Science, Iowa State University, Ames, IA, United States.,Departamento de Mejora Genética Animal, Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), Madrid, Spain
| | - Wendy Mercedes Rauw
- Department of Animal Science, Iowa State University, Ames, IA, United States.,Departamento de Mejora Genética Animal, Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), Madrid, Spain
| | | | - Jack C M Dekkers
- Department of Animal Science, Iowa State University, Ames, IA, United States
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10
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Genome-wide scan reveals genetic divergence and diverse adaptive selection in Chinese local cattle. BMC Genomics 2019; 20:494. [PMID: 31200634 PMCID: PMC6570941 DOI: 10.1186/s12864-019-5822-y] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2018] [Accepted: 05/21/2019] [Indexed: 01/18/2023] Open
Abstract
Background Understanding the population structure and genetic bases of well-adapted cattle breeds to local environments is one of the most essential tasks to develop appropriate genetic improvement programs. Results We performed a comprehensive study to investigate the population structure, divergence and selection signatures at genome-wide level in diverse Chinese local cattle using Bovine HD SNPs array, including two breeds from North China, one breed from Northwest China, three breeds from Southwest China and two breeds from South China. Population genetic analyses revealed the genetic structures of these populations were mostly related to the geographic locations. Notably, we detected 294 and 1263 candidate regions under selection using the di and iHS approaches, respectively. A series of group-specific and breed-specific candidate genes were identified, which are involved in immune response, sexual maturation, stature related, birth and bone weight, embryonic development, coat colors and adaptation. Furthermore, haplotype diversity and network pattern for candidate genes, including LPGAT1, LCORL, PPP1R8, RXFP2 and FANCA, suggest that these genes have been under differential selection pressures in various environmental conditions. Conclusions Our results shed insights into diverse selection during breed formation in Chinese local cattle. These findings may promote the application of genome-assisted breeding for well-adapted local breeds with economic and ecological importance. Electronic supplementary material The online version of this article (10.1186/s12864-019-5822-y) contains supplementary material, which is available to authorized users.
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Wang Z, Ma H, Xu L, Zhu B, Liu Y, Bordbar F, Chen Y, Zhang L, Gao X, Gao H, Zhang S, Xu L, Li J. Genome-Wide Scan Identifies Selection Signatures in Chinese Wagyu Cattle Using a High-Density SNP Array. Animals (Basel) 2019; 9:ani9060296. [PMID: 31151238 PMCID: PMC6617538 DOI: 10.3390/ani9060296] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Revised: 05/23/2019] [Accepted: 05/24/2019] [Indexed: 12/31/2022] Open
Abstract
Selective breeding can lead to genetic diversity and diverse phenotypes in farm animals. Analysis of the genomic regions under selection can provide important insights into the genetic basis of complex traits. In this study, a high-density SNP array was used for analysis of genome selection signatures in Chinese Wagyu cattle. In total, we obtained 478,903 SNPs and 24,820 no-overlap regions for |iHS| (integrated haplotype score) estimations. Under the threshold of the top 1%, 239 regions were finally identified as candidate selected regions and 162 candidate genes were found based on the UMD3.1 genome assembly. These genes were reported to be associated with fatty acids, such as Bos taurus nitric oxide synthase 1 adaptor protein (NOS1AP), Bos taurus hydroxysteroid 17-beta dehydrogenase 7 (HSD17B7), Bos taurus WD repeat domain 7 (WDR7), Bos taurus ELOVL fatty acid elongase 2 (ELOVL2), Bos taurus calpain 1 (CAPN1), Bos taurus parkin RBR E3 ubiquitin protein ligase (PRKN, also known as PARK2), Bos taurus mitogen-activated protein kinase kinase 6 (MAP2K6), meat quality, including Bos taurus ADAM metallopeptidase domain 12 (ADAM12), Bos taurus 5'-aminolevulinate synthase 1 (ALAS1), Bos taurus small integral membrane protein 13 (SMIM13) and Bos taurus potassium two pore domain channel subfamily K member 2 (KCNK2), growth, and developmental traits, such as Bos taurus insulin like growth factor 2 receptor (IGF2R), Bos taurus RAR related orphan receptor A (RORA), Bos taurus fibroblast growth factor 14 (FGF14), Bos taurus paired box 6 (PAX6) and Bos taurus LIM homeobox 6 (LHX6). In addition, we identified several genes that are associated with body size and weight, including Bos taurus sorting nexin 29 (SNX29), Bos taurus zinc finger imprinted 2 (ZIM2), Bos taurus family with sequence similarity 110 member A (FAM110A), immune system, including Bos taurus toll like receptor 9 (TLR9), Bos taurus TAFA chemokine like family member 1 (TAFA1), Bos taurus glutathione peroxidase 8 (putative) (GPX8), Bos taurus interleukin 5 (IL5), Bos taurus PR domain containing 9 (PRDM9), Bos taurus glutamate ionotropic receptor kainate type subunit 2 (GRIK2) and feed intake efficiency, Bos taurus sodium voltage-gated channel alpha subunit 9 (SCN9A), Bos taurus relaxin family peptide/INSL5 receptor 4 (RXFP4), Bos taurus RNA polymerase II associated protein 3 (RPAP3). Moreover, four GO terms of biological regulation (GO:0009987, GO:0008152) and metabolic process (GO:0003824, GO:0005488) were found based on these genes. In addition, we found that 232 candidate regions (~18 Mb) overlapped with the Quantitative trait loci (QTL)regions extracted from cattle QTLdb. Our findings imply that many genes were selected for important traits in Chinese Wagyu cattle. Moreover, these results can contribute to the understanding of the genetic basis of the studied traits during the formation of this population.
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Affiliation(s)
- Zezhao Wang
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
- National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
| | - Haoran Ma
- College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.
| | - Lei Xu
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
- National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
- Institute of Animal Husbandry and Veterinary Research, Anhui Academy of Agricultural Sciences, Hefei 230031, China.
| | - Bo Zhu
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
| | - Ying Liu
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
| | - Farhad Bordbar
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
| | - Yan Chen
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
| | - Lupei Zhang
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
| | - Xue Gao
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
| | - Huijiang Gao
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
| | - Shengli Zhang
- National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
| | - Lingyang Xu
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
| | - Junya Li
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
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Malik M, Moaeen-ud-Din M, Bilal G, Ghaffar A, Muner R, Raja G, Khan W. Development of amplified fragment length polymorphism (AFLP) markers for the identification of Cholistani cattle. Arch Anim Breed 2018; 61:387-394. [PMID: 32175445 PMCID: PMC7065403 DOI: 10.5194/aab-61-387-2018] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2018] [Accepted: 09/27/2018] [Indexed: 11/17/2022] Open
Abstract
The identification issue of livestock can be resolved by using molecular identification tools that are acceptable to preserve and maintain pure breeds worldwide. The application of a molecular identification methodology is more important for developing nations, e.g., Pakistan, where uncontrolled crossbreeding has become a common practice and the import of exotic animals and germplasm is ever increasing. This presents a risk to local breeds as also stated by the FAO. Therefore, the current study was designed to develop standard molecular markers for Cholistani cattle to ascertain their purity for breeding purpose. In this study 50 and 48 unrelated males were sampled for Cholistani and each crossbred cattle, respectively. Candidate molecular markers present in Cholistani but absent in crossbred cattle and vice versa were detected using the amplified fragment length polymorphism (AFLP) method. Eleven markers were developed and were converted to single nucleotide polymorphism (SNP) markers for genotyping. The allele frequencies in both breeds were determined for discrimination ability using polymerase-chain-reaction-restriction-fragment-polymorphism (PCR-AFLP). The probability of identifying the Cholistani breed was 0.905 and the probability of misjudgment was 0.073 using a panel of markers. The identified markers can ascertain the breed purity and are likely to extend the facility for breed purity testing before entering into a genetic improvement program in the country.
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Affiliation(s)
- Muhammad Haseeb Malik
- University Institute of Biochemistry & Biotechnology, PMAS Arid Agriculture University, Rawalpindi, 46300, Pakistan
- These authors contributed equally to this work
| | - Muhammad Moaeen-ud-Din
- National Center for Livestock Breeding, Genetics & Genomics, PMAS Arid Agriculture University, Rawalpindi, 46300, Pakistan
- Department of Animal Breeding & Genetics, Faculty of Veterinary & Animal Sciences, PMAS Arid Agriculture University, Rawalpindi, 46300, Pakistan
- These authors contributed equally to this work
| | - Ghulam Bilal
- Department of Animal Breeding & Genetics, Faculty of Veterinary & Animal Sciences, PMAS Arid Agriculture University, Rawalpindi, 46300, Pakistan
| | - Abdul Ghaffar
- Animal Science Institute, National Agriculture Research Council, Islamabad, Pakistan
| | - Raja Danish Muner
- Department of Animal Breeding & Genetics, Faculty of Veterinary & Animal Sciences, PMAS Arid Agriculture University, Rawalpindi, 46300, Pakistan
| | - Ghazala Kaukab Raja
- University Institute of Biochemistry & Biotechnology, PMAS Arid Agriculture University, Rawalpindi, 46300, Pakistan
| | - Waqas Ahmad Khan
- Department of Biotechnology, Faculty of Sciences, University of Sargodha, Sargodha, Pakistan
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Liu D, Chen Z, Zhang Z, Sun H, Ma P, Zhu K, Liu G, Wang Q, Pan Y. Detection of genome-wide structural variations in the Shanghai Holstein cattle population using next-generation sequencing. ASIAN-AUSTRALASIAN JOURNAL OF ANIMAL SCIENCES 2018; 32:320-333. [PMID: 30056674 PMCID: PMC6409473 DOI: 10.5713/ajas.18.0204] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/14/2018] [Accepted: 06/22/2018] [Indexed: 12/30/2022]
Abstract
Objective The Shanghai Holstein cattle breed is susceptible to severe mastitis and other diseases due to the hot weather and long-term humidity in Shanghai, which is the main distribution centre for providing Holstein semen to various farms throughout China. Our objective was to determine the genetic mechanisms influencing economically important traits, especially diseases that have huge impact on the yield and quality of milk as well as reproduction. Methods In our study, we detected the structural variations of 1,092 Shanghai Holstein cows by using next-generation sequencing. We used the DELLY software to identify deletions and insertions, cn.MOPS to identify copy-number variants (CNVs). Furthermore, we annotated these structural variations using different bioinformatics tools, such as gene ontology, cattle quantitative trait locus (QTL) database and ingenuity pathway analysis (IPA). Results The average number of high-quality reads was 3,046,279. After filtering, a total of 16,831 deletions, 12,735 insertions and 490 CNVs were identified. The annotation results showed that these mapped genes were significantly enriched for specific biological functions, such as disease and reproduction. In addition, the enrichment results based on the cattle QTL database showed that the number of variants related to milk and reproduction was higher than the number of variants related to other traits. IPA core analysis found that the structural variations were related to reproduction, lipid metabolism, and inflammation. According to the functional analysis, structural variations were important factors affecting the variation of different traits in Shanghai Holstein cattle. Our results provide meaningful information about structural variations, which may be useful in future assessments of the associations between variations and important phenotypes in Shanghai Holstein cattle. Conclusion Structural variations identified in this study were extremely different from those of previous studies. Many structural variations were found to be associated with mastitis and reproductive system diseases; these results are in accordance with the characteristics of the environment that Shanghai Holstein cattle experience.
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Affiliation(s)
- Dengying Liu
- Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China.,Shanghai Key Laboratory of Veterinary Biotechnology, Shanghai 200240, China
| | - Zhenliang Chen
- Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China.,Shanghai Key Laboratory of Veterinary Biotechnology, Shanghai 200240, China
| | - Zhe Zhang
- Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China.,Shanghai Key Laboratory of Veterinary Biotechnology, Shanghai 200240, China
| | - Hao Sun
- Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China.,Shanghai Key Laboratory of Veterinary Biotechnology, Shanghai 200240, China
| | - Peipei Ma
- Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China.,Shanghai Key Laboratory of Veterinary Biotechnology, Shanghai 200240, China
| | - Kai Zhu
- Shanghai Dairy Cattle Breeding Centre Co., Ltd, Shanghai 201901, China
| | - Guanglei Liu
- Shanghai Dairy Cattle Breeding Centre Co., Ltd, Shanghai 201901, China
| | - Qishan Wang
- Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China.,Shanghai Key Laboratory of Veterinary Biotechnology, Shanghai 200240, China
| | - Yuchun Pan
- Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China.,Shanghai Key Laboratory of Veterinary Biotechnology, Shanghai 200240, China
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Weigand H, Leese F. Detecting signatures of positive selection in non-model species using genomic data. Zool J Linn Soc 2018. [DOI: 10.1093/zoolinnean/zly007] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Affiliation(s)
- Hannah Weigand
- Aquatic Ecosystem Research, University of Duisburg-Essen, Universitätsstraße, Essen, Germany
| | - Florian Leese
- Aquatic Ecosystem Research, University of Duisburg-Essen, Universitätsstraße, Essen, Germany
- Centre for Water and Environmental Research (ZWU), University of Duisburg-Essen, Universitätsstraße, Essen, Germany
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Genotyping-by-sequencing performance in selected livestock species. Genomics 2018; 111:186-195. [PMID: 29427639 DOI: 10.1016/j.ygeno.2018.02.002] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2017] [Revised: 01/24/2018] [Accepted: 02/06/2018] [Indexed: 12/16/2022]
Abstract
Application of next generation sequencing for large scale genotyping in livestock is limited by high costs and challenging data analysis process. However, available restriction enzyme-based enrichment techniques like e.g. genotyping-by-sequencing (GBS) are promising tools allowing reduction of financial outlies by a high sample multiplexing and narrowing down the sequenced genome areas to the randomly distributed read tags. In this study, we tested the performance of standard, PstI endonuclease-adapted GBS protocol for population genetics in cattle, horse and sheep with application of different, including low-depth sequencing setups. It was found that the detected SNPs display desirable polymorphism parameters and are evenly scattered across the whole genome including gene coding regions. It was also shown that the SNPs can be successfully applied in population genetics, revealing the genetic differentiation of the studied breeds. The GBS approach represents a cost-effective alternative to existing genotyping methods which may find adoption in various research applications.
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Genome-wide DNA methylation profiles reveal novel candidate genes associated with meat quality at different age stages in hens. Sci Rep 2017; 7:45564. [PMID: 28378745 PMCID: PMC5381223 DOI: 10.1038/srep45564] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2016] [Accepted: 02/27/2017] [Indexed: 01/18/2023] Open
Abstract
Poultry meat quality is associated with breed, age, tissue and other factors. Many previous studies have focused on distinct breeds; however, little is known regarding the epigenetic regulatory mechanisms in different age stages, such as DNA methylation. Here, we compared the global DNA methylation profiles between juvenile (20 weeks old) and later laying-period (55 weeks old) hens and identified candidate genes related to the development and meat quality of breast muscle using whole-genome bisulfite sequencing. The results showed that the later laying-period hens, which had a higher intramuscular fat (IMF) deposition capacity and water holding capacity (WHC) and less tenderness, exhibited higher global DNA methylation levels than the juvenile hens. A total of 2,714 differentially methylated regions were identified in the present study, which corresponded to 378 differentially methylated genes, mainly affecting muscle development, lipid metabolism, and the ageing process. Hypermethylation of the promoters of the genes ABCA1, COL6A1 and GSTT1L and the resulting transcriptional down-regulation in the later laying-period hens may be the reason for the significant difference in the meat quality between the juvenile and later laying-period hens. These findings contribute to a better understanding of epigenetic regulation in the skeletal muscle development and meat quality of chicken.
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Szmatoła T, Gurgul A, Ropka-Molik K, Jasielczuk I, Ząbek T, Bugno-Poniewierska M. Characteristics of runs of homozygosity in selected cattle breeds maintained in Poland. Livest Sci 2016. [DOI: 10.1016/j.livsci.2016.04.006] [Citation(s) in RCA: 53] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Randhawa IAS, Khatkar MS, Thomson PC, Raadsma HW. A Meta-Assembly of Selection Signatures in Cattle. PLoS One 2016; 11:e0153013. [PMID: 27045296 PMCID: PMC4821596 DOI: 10.1371/journal.pone.0153013] [Citation(s) in RCA: 49] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2015] [Accepted: 03/22/2016] [Indexed: 12/31/2022] Open
Abstract
Since domestication, significant genetic improvement has been achieved for many traits of commercial importance in cattle, including adaptation, appearance and production. In response to such intense selection pressures, the bovine genome has undergone changes at the underlying regions of functional genetic variants, which are termed “selection signatures”. This article reviews 64 recent (2009–2015) investigations testing genomic diversity for departure from neutrality in worldwide cattle populations. In particular, we constructed a meta-assembly of 16,158 selection signatures for individual breeds and their archetype groups (European, African, Zebu and composite) from 56 genome-wide scans representing 70,743 animals of 90 pure and crossbred cattle breeds. Meta-selection-scores (MSS) were computed by combining published results at every given locus, within a sliding window span. MSS were adjusted for common samples across studies and were weighted for significance thresholds across and within studies. Published selection signatures show extensive coverage across the bovine genome, however, the meta-assembly provides a consensus profile of 263 genomic regions of which 141 were unique (113 were breed-specific) and 122 were shared across cattle archetypes. The most prominent peaks of MSS represent regions under selection across multiple populations and harboured genes of known major effects (coat color, polledness and muscle hypertrophy) and genes known to influence polygenic traits (stature, adaptation, feed efficiency, immunity, behaviour, reproduction, beef and dairy production). As the first meta-assembly of selection signatures, it offers novel insights about the hotspots of selective sweeps in the bovine genome, and this method could equally be applied to other species.
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Affiliation(s)
- Imtiaz A. S. Randhawa
- Reprogen - Animal Bioscience Group, Faculty of Veterinary Science, The University of Sydney, 425 Werombi Road, Camden, 2570, NSW, Australia
- * E-mail:
| | - Mehar S. Khatkar
- Reprogen - Animal Bioscience Group, Faculty of Veterinary Science, The University of Sydney, 425 Werombi Road, Camden, 2570, NSW, Australia
| | - Peter C. Thomson
- Reprogen - Animal Bioscience Group, Faculty of Veterinary Science, The University of Sydney, 425 Werombi Road, Camden, 2570, NSW, Australia
| | - Herman W. Raadsma
- Reprogen - Animal Bioscience Group, Faculty of Veterinary Science, The University of Sydney, 425 Werombi Road, Camden, 2570, NSW, Australia
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