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Atashi H, Chen Y, Wilmot H, Vanderick S, Hubin X, Soyeurt H, Gengler N. Single-step genome-wide association for selected milk fatty acids in Dual-Purpose Belgian Blue cows. J Dairy Sci 2023; 106:6299-6315. [PMID: 37479585 DOI: 10.3168/jds.2022-22432] [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: 06/20/2022] [Accepted: 03/17/2023] [Indexed: 07/23/2023]
Abstract
The aim of this study was to estimate genetic parameters and identify genomic regions associated with selected individual and groups of milk fatty acids (FA) predicted by milk mid-infrared spectrometry in Dual-Purpose Belgian Blue cows. The used data were 69,349 test-day records of milk yield, fat percentage, and protein percentage along with selected individual and groups FA of milk (g/dL milk) collected from 2007 to 2020 on 7,392 first-parity (40,903 test-day records), and 5,185 second-parity (28,446 test-day records) cows distributed in 104 herds in the Walloon Region of Belgium. Data of 28,466 SNPs, located on 29 Bos taurus autosomes (BTA), of 1,699 animals (639 males and 1,060 females) were used. Random regression test-day models were used to estimate genetic parameters through the Bayesian Gibbs sampling method. The SNP solutions were estimated using a single-step genomic best linear unbiased prediction approach. The proportion of genetic variance explained by each 25-SNP sliding window (with an average size of ~2 Mb) was calculated, and regions accounting for at least 1.0% of the total additive genetic variance were used to search for candidate genes. Average daily heritability estimated for the included milk FA traits ranged from 0.01 (C4:0) to 0.48 (C12:0) and 0.01 (C4:0) to 0.42 (C12:0) in the first and second parities, respectively. Genetic correlations found between milk yield and the studied individual milk FA, except for C18:0, C18:1 trans, C18:1 cis-9, were positive. The results showed that fat percentage and protein percentage were positively genetically correlated with all studied individual milk FA. Genome-wide association analyses identified 11 genomic regions distributed over 8 chromosomes [BTA1, BTA4, BTA10, BTA14 (4 regions), BTA19, BTA22, BTA24, and BTA26] associated with the studied FA traits, though those found on BTA14 partly overlapped. The genomic regions identified differed between parities and lactation stages. Although these differences in genomic regions detected may be due to the power of quantitative trait locus detection, it also suggests that candidate genes underlie the phenotypic expression of the studied traits may vary between parities and lactation stages. These findings increase our understanding about the genetic background of milk FA and can be used for the future implementation of genomic evaluation to improve milk FA profile in Dual-Purpose Belgian Blue cows.
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Affiliation(s)
- H Atashi
- TERRA Teaching and Research Center, Gembloux Agro-Bio Tech, University of Liège, 5030 Gembloux, Belgium; Department of Animal Science, Shiraz University, 71441-13131 Shiraz, Iran.
| | - Y Chen
- TERRA Teaching and Research Center, Gembloux Agro-Bio Tech, University of Liège, 5030 Gembloux, Belgium
| | - H Wilmot
- TERRA Teaching and Research Center, Gembloux Agro-Bio Tech, University of Liège, 5030 Gembloux, Belgium; National Fund for Scientific Research (F.R.S.-FNRS), 1000 Brussels, Belgium
| | - S Vanderick
- TERRA Teaching and Research Center, Gembloux Agro-Bio Tech, University of Liège, 5030 Gembloux, Belgium
| | - X Hubin
- Elevéo asbl Awé Group, 5590 Ciney, Belgium
| | - H Soyeurt
- TERRA Teaching and Research Center, Gembloux Agro-Bio Tech, University of Liège, 5030 Gembloux, Belgium
| | - N Gengler
- TERRA Teaching and Research Center, Gembloux Agro-Bio Tech, University of Liège, 5030 Gembloux, Belgium
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Rajawat D, Panigrahi M, Kumar H, Nayak SS, Parida S, Bhushan B, Gaur GK, Dutt T, Mishra BP. Identification of important genomic footprints using eight different selection signature statistics in domestic cattle breeds. Gene 2022; 816:146165. [PMID: 35026292 DOI: 10.1016/j.gene.2021.146165] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2021] [Revised: 12/13/2021] [Accepted: 12/20/2021] [Indexed: 12/25/2022]
Abstract
In the present study, the population genomic data of different cattle breeds were explored to decipher the genomic regions affected due to selective events and reflected in the productive, reproductive, thermo-tolerance, and health-related traits. To find out these genomic deviations due to selective sweeps, we used eight different statistical tools (Tajima's D, Fu & Li's D*, CLR, ROH, iHS, FST, FLK, and hapFLK) on seven indigenous and five exotic cattle breeds. We further performed composite analysis by comparing their covariance matrix. Several candidate genes were found to be related to milk production (ADARB, WDR70, and CA8), reproductive (PARN, FAM134B2, and ZBTB20), and health-related traits (SP110, CXCL2, CLXCL3, CXCL5, IRF8, and MYOM1). The outcome of this investigation provides a basis for detecting selective sweeps that explain the genetic variation of traits. They may possess functional importance for multiple cattle breeds in different subcontinents. However, further studies are required to improve the findings using high-density arrays or whole-genome sequencing with higher resolution and greater sample sizes.
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Affiliation(s)
- Divya Rajawat
- 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.
| | - Harshit Kumar
- Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India
| | - Sonali Sonejita Nayak
- Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India
| | - Subhashree Parida
- Division of Pharmacology & Toxicology, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India
| | - Bharat Bhushan
- Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India
| | - G K Gaur
- 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
| | - B P Mishra
- Division of Animal Biotechnology, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India
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3
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Meta-analysis of genome-wide association studies and gene networks analysis for milk production traits in Holstein cows. Livest Sci 2021. [DOI: 10.1016/j.livsci.2021.104605] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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Wang T, Li J, Gao X, Song W, Chen C, Yao D, Ma J, Xu L, Ma Y. Genome-wide association study of milk components in Chinese Holstein cows using single nucleotide polymorphism. Livest Sci 2020. [DOI: 10.1016/j.livsci.2020.103951] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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Yang Z, Lian Z, Liu G, Deng M, Sun B, Guo Y, Liu D, Li Y. Identification of genetic markers associated with milk production traits in Chinese Holstein cattle based on post genome-wide association studies. Anim Biotechnol 2019; 32:67-76. [PMID: 31424326 DOI: 10.1080/10495398.2019.1653901] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
With the rapid development of dairy industry, the breeding process of dairy cows has been accelerated. In previous genome-wide association studies (GWAS), a large number of genetic markers have been reported which may contribute to the selection of Holstein populations with superior milk-producing traits, but they remain to be further verified before practical application. In this study, 90 single nucleotide polymorphisms (SNPs) were selected, which were reported to be significantly associated with five milk production traits, including 305-day milk yield (305MY), 305-day milk fat percent (305FC), 305-day milk protein percent (305PC), 305-day milk fat yield (305FY) and 305-day milk protein yield (305PY). Effective 305-day data and fresh DNA samples were obtained from 295 healthy cows with gestational age of 1-4. Matrix-assisted laser desorption/ionization-time of flight (MALDI-TOF) was used to perform precise genotyping of these loci, followed by site association and haplotype analysis. Results showed that 36 out of 90 loci were supported to be used as genetic markers. In particular, several novel and effective haplotypes were also presented. Overall, our results verified tens of useful markers and provided a basis for further development of breeding strategies.
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Affiliation(s)
- Zhenwei Yang
- College of Animal Science, South China Agricultural University, Guangzhou, China.,National Local Joint Engineering Research Center of Livestock and Poultry, South China Agricultural University, Guangzhou, China
| | - Zhiquan Lian
- College of Animal Science, South China Agricultural University, Guangzhou, China.,National Local Joint Engineering Research Center of Livestock and Poultry, South China Agricultural University, Guangzhou, China
| | - Guangbin Liu
- College of Animal Science, South China Agricultural University, Guangzhou, China.,National Local Joint Engineering Research Center of Livestock and Poultry, South China Agricultural University, Guangzhou, China
| | - Ming Deng
- College of Animal Science, South China Agricultural University, Guangzhou, China.,National Local Joint Engineering Research Center of Livestock and Poultry, South China Agricultural University, Guangzhou, China
| | - Baoli Sun
- College of Animal Science, South China Agricultural University, Guangzhou, China.,National Local Joint Engineering Research Center of Livestock and Poultry, South China Agricultural University, Guangzhou, China
| | - Yongqing Guo
- College of Animal Science, South China Agricultural University, Guangzhou, China.,National Local Joint Engineering Research Center of Livestock and Poultry, South China Agricultural University, Guangzhou, China
| | - Dewu Liu
- College of Animal Science, South China Agricultural University, Guangzhou, China.,National Local Joint Engineering Research Center of Livestock and Poultry, South China Agricultural University, Guangzhou, China
| | - Yaokun Li
- College of Animal Science, South China Agricultural University, Guangzhou, China.,National Local Joint Engineering Research Center of Livestock and Poultry, South China Agricultural University, Guangzhou, China
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Liu JJ, Liang AX, Campanile G, Plastow G, Zhang C, Wang Z, Salzano A, Gasparrini B, Cassandro M, Yang LG. Genome-wide association studies to identify quantitative trait loci affecting milk production traits in water buffalo. J Dairy Sci 2017; 101:433-444. [PMID: 29128211 DOI: 10.3168/jds.2017-13246] [Citation(s) in RCA: 49] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2017] [Accepted: 09/13/2017] [Indexed: 01/03/2023]
Abstract
Water buffalo is the second largest resource of milk supply around the world, and it is well known for its distinctive milk quality in terms of fat, protein, lactose, vitamin, and mineral contents. Understanding the genetic architecture of milk production traits is important for future improvement by the buffalo breeding industry. The advance of genome-wide association studies (GWAS) provides an opportunity to identify potential genetic variants affecting important economical traits. In the present study, GWAS was performed for 489 buffaloes with 1,424 lactation records using the 90K Affymetrix Buffalo SNP Array (Affymetrix/Thermo Fisher Scientific, Santa Clara, CA). Collectively, 4 candidate single nucleotide polymorphisms (SNP) in 2 genomic regions were found to associate with buffalo milk production traits. One region affecting milk fat and protein percentage was located on the equivalent of Bos taurus autosome (BTA)3, spanning 43.3 to 43.8 Mb, which harbored the most likely candidate genes MFSD14A, SLC35A3, and PALMD. The other region on the equivalent of BTA14 at 66.5 to 67.0 Mb contained candidate genes RGS22 and VPS13B and influenced buffalo total milk yield, fat yield, and protein yield. Interestingly, both of the regions were reported to have quantitative trait loci affecting milk performance in dairy cattle. Furthermore, we suggest that buffaloes with the C allele at AX-85148558 and AX-85073877 loci and the G allele at AX-85106096 locus can be selected to improve milk fat yield in this buffalo-breeding program. Meanwhile, the G allele at AX-85063131 locus can be used as the favorable allele for improving milk protein percentage. Genomic prediction showed that the reliability of genomic estimated breeding values (GEBV) of 6 milk production traits ranged from 0.06 to 0.22, and the correlation between estimated breeding values and GEBV ranged from 0.23 to 0.35. These findings provide useful information to understand the genetic basis of buffalo milk properties and may play a role in accelerating buffalo breeding programs using genomic approaches.
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Affiliation(s)
- J J Liu
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Huazhong Agriculture University, Wuhan, Hubei, China 430070; Hubei Province's Engineering Research Center in Buffalo Breeding and Products, Wuhan, Hubei, China 430070
| | - A X Liang
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Huazhong Agriculture University, Wuhan, Hubei, China 430070; Hubei Province's Engineering Research Center in Buffalo Breeding and Products, Wuhan, Hubei, China 430070
| | - G Campanile
- Department of Veterinary Medicine and Animal Productions, University of Naples "Federico II", Naples, Italy 80137
| | - G Plastow
- Department of Agricultural, Food, and Nutritional Sciences, University of Alberta, Edmonton, AB, Canada T6G 2C8
| | - C Zhang
- Department of Agricultural, Food, and Nutritional Sciences, University of Alberta, Edmonton, AB, Canada T6G 2C8
| | - Z Wang
- Department of Agricultural, Food, and Nutritional Sciences, University of Alberta, Edmonton, AB, Canada T6G 2C8
| | - A Salzano
- Department of Veterinary Medicine and Animal Productions, University of Naples "Federico II", Naples, Italy 80137
| | - B Gasparrini
- Department of Veterinary Medicine and Animal Productions, University of Naples "Federico II", Naples, Italy 80137
| | - M Cassandro
- Department of Agronomy, Food, Natural Resources, Animal, and Environment, University of Padova, Agripolis, Legnaro, Italy 35020
| | - L G Yang
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Huazhong Agriculture University, Wuhan, Hubei, China 430070; Hubei Province's Engineering Research Center in Buffalo Breeding and Products, Wuhan, Hubei, China 430070.
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Kasarapu P, Porto-Neto LR, Fortes MRS, Lehnert SA, Mudadu MA, Coutinho L, Regitano L, George A, Reverter A. The Bos taurus-Bos indicus balance in fertility and milk related genes. PLoS One 2017; 12:e0181930. [PMID: 28763475 PMCID: PMC5538644 DOI: 10.1371/journal.pone.0181930] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2017] [Accepted: 07/10/2017] [Indexed: 12/16/2022] Open
Abstract
Numerical approaches to high-density single nucleotide polymorphism (SNP) data are often employed independently to address individual questions. We linked independent approaches in a bioinformatics pipeline for further insight. The pipeline driven by heterozygosity and Hardy-Weinberg equilibrium (HWE) analyses was applied to characterize Bos taurus and Bos indicus ancestry. We infer a gene co-heterozygosity network that regulates bovine fertility, from data on 18,363 cattle with genotypes for 729,068 SNP. Hierarchical clustering separated populations according to Bos taurus and Bos indicus ancestry. The weights of the first principal component were subjected to Normal mixture modelling allowing the estimation of a gene’s contribution to the Bos taurus-Bos indicus axis. We used deviation from HWE, contribution to Bos indicus content and association to fertility traits to select 1,284 genes. With this set, we developed a co-heterozygosity network where the group of genes annotated as fertility-related had significantly higher Bos indicus content compared to other functional classes of genes, while the group of genes associated with milk production had significantly higher Bos taurus content. The network analysis resulted in capturing novel gene associations of relevance to bovine domestication events. We report transcription factors that are likely to regulate genes associated with cattle domestication and tropical adaptation. Our pipeline can be generalized to any scenarios where population structure requires scrutiny at the molecular level, particularly in the presence of a priori set of genes known to impact a phenotype of evolutionary interest such as fertility.
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Affiliation(s)
- Parthan Kasarapu
- CSIRO Agriculture and Food, Queensland Bioscience Precinct, St. Lucia, Brisbane, Queensland, Australia
| | - Laercio R. Porto-Neto
- CSIRO Agriculture and Food, Queensland Bioscience Precinct, St. Lucia, Brisbane, Queensland, Australia
| | - Marina R. S. Fortes
- School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Queensland, Australia
| | - Sigrid A. Lehnert
- CSIRO Agriculture and Food, Queensland Bioscience Precinct, St. Lucia, Brisbane, Queensland, Australia
| | | | - Luiz Coutinho
- Centro de Genomica Funcional ESALQ, University of São Paulo, Piracicaba, Sao Paulo, Brazil
| | - Luciana Regitano
- Embrapa Southeast Livestock, Rodovia Washington Luiz, São Carlos, Sao Paulo, Brazil
| | - Andrew George
- CSIRO, DATA61, Ecosciences Precinct Brisbane, Brisbane, Queensland, Australia
| | - Antonio Reverter
- CSIRO Agriculture and Food, Queensland Bioscience Precinct, St. Lucia, Brisbane, Queensland, Australia
- * E-mail:
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Smaragdov MG, Mukiy JV, Stekolnikova VA. Association of polymorphisms in sire KCNQ3 potassium voltage-gated channel gene with cow milk-fat content. ACTA ACUST UNITED AC 2014. [DOI: 10.3103/s1068367414010170] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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