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Wang J, Li X, Peng W, Zhong J, Jiang M. Genome-Wide Association Study of Body Weight Trait in Yaks. Animals (Basel) 2022; 12. [PMID: 35883402 DOI: 10.3390/ani12141855] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Revised: 07/14/2022] [Accepted: 07/19/2022] [Indexed: 01/03/2023] Open
Abstract
The yak is the largest meat-producing mammal around the Tibetan Plateau, and it plays an important role in the economic development and maintenance of the ecological environment throughout much of the Asian highlands. Understanding the genetic components of body weight is key for future improvement in yak breeding; therefore, genome-wide association studies (GWAS) were performed, and the results were used to mine plant and animal genetic resources. We conducted whole genome sequencing on 406 Maiwa yaks at 10 × coverage. Using a multiple loci mixed linear model (MLMM), fixed and random model circulating probability unification (FarmCPU), and Bayesian-information and linkage-disequilibrium iteratively nested keyway (BLINK), we found that a total of 25,000 single-nucleotide polymorphisms (SNPs) were distributed across chromosomes, and seven markers were identified as significantly (p-values < 3.91 × 10−7) associated with the body weight trait,. Several candidate genes, including MFSD4, LRRC37B, and NCAM2, were identified. This research will help us achieve a better understanding of the genotype−phenotype relationship for body weight.
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Rafter P, Gormley IC, Parnell AC, Naderi S, Berry DP. The Contribution of Copy Number Variants and Single Nucleotide Polymorphisms to the Additive Genetic Variance of Carcass Traits in Cattle. Front Genet 2021; 12:761503. [PMID: 34795696 PMCID: PMC8593468 DOI: 10.3389/fgene.2021.761503] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Accepted: 10/04/2021] [Indexed: 11/13/2022] Open
Abstract
The relative contributions of both copy number variants (CNVs) and single nucleotide polymorphisms (SNPs) to the additive genetic variance of carcass traits in cattle is not well understood. A detailed understanding of the relative importance of CNVs in cattle may have implications for study design of both genomic predictions and genome-wide association studies. The first objective of the present study was to quantify the relative contributions of CNV data and SNP genotype data to the additive genetic variance of carcass weight, fat, and conformation for 945 Charolais, 923 Holstein-Friesian, and 974 Limousin sires. The second objective was to jointly consider SNP and CNV data in a least absolute selection and shrinkage operator (LASSO) regression model to identify genomic regions associated with carcass weight, fat, and conformation within each of the three breeds separately. A genomic relationship matrix (GRM) based on just CNV data did not capture any variance in the three carcass traits when jointly evaluated with a SNP-derived GRM. In the LASSO regression analysis, a total of 987 SNPs and 18 CNVs were associated with at least one of the three carcass traits in at least one of the three breeds. The quantitative trait loci (QTLs) corresponding to the associated SNPs and CNVs overlapped with several candidate genes including previously reported candidate genes such as MSTN and RSAD2, and several potential novel candidate genes such as ACTN2 and THOC1. The results of the LASSO regression analysis demonstrated that CNVs can be used to detect associations with carcass traits which were not detected using the set of SNPs available in the present study. Therefore, the CNVs and SNPs available in the present study were not redundant forms of genomic data.
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Affiliation(s)
- Pierce Rafter
- Animal & Grassland Research and Innovation Centre, Fermoy, Ireland.,School of Mathematics and Statistics, University College Dublin, Dublin, Ireland
| | | | | | - Saeid Naderi
- Irish Cattle Breeding Federation, Bandon, Ireland
| | - Donagh P Berry
- Animal & Grassland Research and Innovation Centre, Fermoy, Ireland
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Chen ZH, Xu YX, Xie XL, Wang DF, Aguilar-Gómez D, Liu GJ, Li X, Esmailizadeh A, Rezaei V, Kantanen J, Ammosov I, Nosrati M, Periasamy K, Coltman DW, Lenstra JA, Nielsen R, Li MH. Whole-genome sequence analysis unveils different origins of European and Asiatic mouflon and domestication-related genes in sheep. Commun Biol 2021; 4:1307. [PMID: 34795381 PMCID: PMC8602413 DOI: 10.1038/s42003-021-02817-4] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Accepted: 10/27/2021] [Indexed: 02/06/2023] Open
Abstract
The domestication and subsequent development of sheep are crucial events in the history of human civilization and the agricultural revolution. However, the impact of interspecific introgression on the genomic regions under domestication and subsequent selection remains unclear. Here, we analyze the whole genomes of domestic sheep and their wild relative species. We found introgression from wild sheep such as the snow sheep and its American relatives (bighorn and thinhorn sheep) into urial, Asiatic and European mouflons. We observed independent events of adaptive introgression from wild sheep into the Asiatic and European mouflons, as well as shared introgressed regions from both snow sheep and argali into Asiatic mouflon before or during the domestication process. We revealed European mouflons might arise through hybridization events between a now extinct sheep in Europe and feral domesticated sheep around 6000-5000 years BP. We also unveiled later introgressions from wild sheep to their sympatric domestic sheep after domestication. Several of the introgression events contain loci with candidate domestication genes (e.g., PAPPA2, NR6A1, SH3GL3, RFX3 and CAMK4), associated with morphological, immune, reproduction or production traits (wool/meat/milk). We also detected introgression events that introduced genes related to nervous response (NEURL1), neurogenesis (PRUNE2), hearing ability (USH2A), and placental viability (PAG11 and PAG3) into domestic sheep and their ancestral wild species from other wild species.
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Affiliation(s)
- Ze-Hui Chen
- grid.9227.e0000000119573309CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing, China ,grid.410726.60000 0004 1797 8419University of Chinese Academy of Sciences (UCAS), Beijing, China ,grid.22935.3f0000 0004 0530 8290College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Ya-Xi Xu
- grid.22935.3f0000 0004 0530 8290College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Xing-Long Xie
- grid.9227.e0000000119573309CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing, China ,grid.410726.60000 0004 1797 8419University of Chinese Academy of Sciences (UCAS), Beijing, China
| | - Dong-Feng Wang
- grid.9227.e0000000119573309CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing, China ,grid.410726.60000 0004 1797 8419University of Chinese Academy of Sciences (UCAS), Beijing, China
| | - Diana Aguilar-Gómez
- grid.47840.3f0000 0001 2181 7878Center for Computational Biology, University of California at Berkeley, Berkeley, CA 94720 USA
| | | | - Xin Li
- grid.9227.e0000000119573309CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing, China ,grid.410726.60000 0004 1797 8419University of Chinese Academy of Sciences (UCAS), Beijing, China
| | - Ali Esmailizadeh
- grid.412503.10000 0000 9826 9569Department of Animal Science, Faculty of Agriculture, Shahid Bahonar University of Kerman, Kerman, Iran
| | - Vahideh Rezaei
- grid.412503.10000 0000 9826 9569Department of Animal Science, Faculty of Agriculture, Shahid Bahonar University of Kerman, Kerman, Iran
| | - Juha Kantanen
- grid.22642.300000 0004 4668 6757Natural Resources Institute Finland (Luke), Jokioinen, Finland
| | - Innokentyi Ammosov
- grid.495192.2Laboratory of Reindeer Husbandry and Traditional Industries, Yakut Scientific Research Institute of Agriculture, The Sakha Republic (Yakutia), Yakutsk, Russia
| | - Maryam Nosrati
- grid.412462.70000 0000 8810 3346Department of Agriculture, Payame Noor University, Tehran, Iran
| | - Kathiravan Periasamy
- grid.420221.70000 0004 0403 8399Animal Production and Health Laboratory, Joint FAO/IAEA Division of Nuclear Techniques in Food and Agriculture, International Atomic Energy Agency, Vienna, Austria
| | - David W. Coltman
- grid.17089.37Department of Biological Sciences, University of Alberta, Edmonton, AB T6G2E9 Canada
| | - Johannes A. Lenstra
- grid.5477.10000000120346234Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands
| | - Rasmus Nielsen
- Department of Integrative Biology, University of California at Berkeley, Berkeley, CA, 94720, USA. .,Department of Statistics, UC Berkeley, Berkeley, CA, 94707, USA. .,Globe Institute, University of Copenhagen, 1350, København K, Denmark.
| | - Meng-Hua Li
- College of Animal Science and Technology, China Agricultural University, Beijing, China.
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Chen Z, Brito LF, Luo H, Shi R, Chang Y, Liu L, Guo G, Wang Y. Genetic and Genomic Analyses of Service Sire Effect on Female Reproductive Traits in Holstein Cattle. Front Genet 2021; 12:713575. [PMID: 34539741 PMCID: PMC8446201 DOI: 10.3389/fgene.2021.713575] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2021] [Accepted: 08/03/2021] [Indexed: 12/19/2022] Open
Abstract
Fertility and reproductive performance are key drivers of dairy farm profitability. Hence, reproduction traits have been included in a large majority of worldwide dairy cattle selection indexes. The reproductive traits are lowly heritable but can be improved through direct genetic selection. However, most scientific studies and dairy cattle breeding programs have focused solely on the genetic effects of the dam (GED) on reproductive performance and, therefore, ignored the contribution of the service sire in the phenotypic outcomes. This study aimed to investigate the service sire effects on female reproductive traits in Holstein cattle from a genomic perspective. Genetic parameter estimation and genome-wide association studies (GWAS) were performed for the genetic effect of service sire (GESS) on conception rate (CR), 56-day non-return rate (NRR56), calving ease (CE), stillbirth (SB), and gestation length (GL). Our findings indicate that the additive genetic effects of both sire and dam contribute to the phenotypic variance of reproductive traits measured in females (0.0196 vs. 0.0109, 0.0237 vs. 0.0133, 0.0040 vs. 0.0289, 0.0782 vs. 0.0083, and 0.1024 vs. 0.1020 for GESS and GED heritability estimates for CR, NRR56, CE, SB, and GL, respectively), and these two genetic effects are positively correlated for SB (0.1394) and GL (0.7871). Interestingly, the breeding values for GESS on insemination success traits (CR and NRR56) are unfavorably and significantly correlated with some production, health, and type breeding values (ranging from -0.449 to 0.274), while the GESS values on calving traits (CE, SB, and GL) are usually favorably associated with those traits (ranging from -0.493 to 0.313). One hundred sixty-two significant single-nucleotide polymorphisms (SNPs) and their surrounding protein-coding genes were identified as significantly associated with GESS and GED, respectively. Six genes overlapped between GESS and GED for calving traits and 10 genes overlapped between GESS for success traits and calving traits. Our findings indicate the importance of considering the GESS when genetically evaluating the female reproductive traits in Holstein cattle.
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Affiliation(s)
- Ziwei Chen
- Key Laboratory of Animal Genetics, Breeding and Reproduction, MARA, National Engineering Laboratory of Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Luiz F. Brito
- Department of Animal Sciences, Purdue University, West Lafayette, IN, United States
| | - Hanpeng Luo
- Key Laboratory of Animal Genetics, Breeding and Reproduction, MARA, National Engineering Laboratory of Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Rui Shi
- Key Laboratory of Animal Genetics, Breeding and Reproduction, MARA, National Engineering Laboratory of Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Yao Chang
- Key Laboratory of Animal Genetics, Breeding and Reproduction, MARA, National Engineering Laboratory of Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Lin Liu
- Beijing Dairy Cattle Center, Beijing, China
| | - Gang Guo
- Beijing Sunlon Livestock Development Company Limited, Beijing, China
| | - Yachun Wang
- Key Laboratory of Animal Genetics, Breeding and Reproduction, MARA, National Engineering Laboratory of Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
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Verardo LL, E Silva FF, Machado MA, do Carmo Panetto JC, de Lima Reis Faza DR, Otto PI, de Almeida Regitano LC, da Silva LOC, do Egito AA, do Socorro Maués Albuquerque M, Zanella R, da Silva MVGB. Genome-Wide Analyses Reveal the Genetic Architecture and Candidate Genes of Indicine, Taurine, Synthetic Crossbreds, and Locally Adapted Cattle in Brazil. Front Genet 2021; 12:702822. [PMID: 34386042 PMCID: PMC8353373 DOI: 10.3389/fgene.2021.702822] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 06/30/2021] [Indexed: 11/24/2022] Open
Abstract
Cattle population history, breeding systems, and geographic subdivision may be reflected in runs of homozygosity (ROH), effective population size (Ne), and linkage disequilibrium (LD) patterns. Thus, the assessment of this information has become essential to the implementation of genomic selection on purebred and crossbred cattle breeding programs. In this way, we assessed the genotype of 19 cattle breeds raised in Brazil belonging to taurine, indicine, synthetic crossbreds, and Iberian-derived locally adapted ancestries to evaluate the overall LD decay patterns, Ne, ROH, and breed composition. We were able to obtain a general overview of the genomic architecture of cattle breeds currently raised in Brazil and other tropical countries. We found that, among the evaluated breeds, different marker densities should be used to improve the genomic prediction accuracy and power of genome-wide association studies. Breeds showing low Ne values indicate a recent inbreeding, also reflected by the occurrence of longer ROH, which demand special attention in the matting schemes to avoid extensive inbreeding. Candidate genes (e.g., ABCA7, PENK, SPP1, IFNAR1, IFNAR2, SPEF2, PRLR, LRRTM1, and LRRTM4) located in the identified ROH islands were evaluated, highlighting biological processes involved with milk production, behavior, rusticity, and fertility. Furthermore, we were successful in obtaining the breed composition regarding the taurine and indicine composition using single-nucleotide polymorphism (SNP) data. Our results were able to observe in detail the genomic backgrounds that are present in each breed and allowed to better understand the various contributions of ancestor breeds to the modern breed composition to the Brazilian cattle.
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Affiliation(s)
- Lucas Lima Verardo
- Animal Breeding Lab, Department of Animal Science, Universidade Federal dos Vales do Jequitinhonha e Mucuri, Diamantina, Brazil
| | | | | | | | | | - Pamela Itajara Otto
- Department of Animal Science, Universidade Federal de Santa Maria, Santa Maria, Brazil
| | | | | | | | | | - Ricardo Zanella
- Department of Veterinary Medicine, Universidade de Passo Fundo, Passo Fundo, Brazil
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