Babatunde S. Olasege, Irene van den Berg, Mekonnen Haile-Mariam, Phuong N. Ho, Zhen Yin Oh, Laercio R. Porto-Neto, Ben J. Hayes, Jennie E. Pryce, Marina R. S. Fortes
{"title":"剖析支撑澳大利亚荷斯坦牛生产、繁殖和尿素性状之间遗传相关性的基因位点。","authors":"Babatunde S. Olasege, Irene van den Berg, Mekonnen Haile-Mariam, Phuong N. Ho, Zhen Yin Oh, Laercio R. Porto-Neto, Ben J. Hayes, Jennie E. Pryce, Marina R. S. Fortes","doi":"10.1111/age.13455","DOIUrl":null,"url":null,"abstract":"<p>Unfavorable genetic correlations between milk production, fertility, and urea traits have been reported. However, knowledge of the genomic regions associated with these unfavorable correlations is limited. Here, we used the correlation scan method to identify and investigate the regions driving or antagonizing the genetic correlations between production vs. fertility, urea vs. fertility, and urea vs. production traits. Driving regions produce an estimate of correlation that is in the same direction as the global correlation. Antagonizing regions produce an estimate in the opposite direction of the global estimates. Our dataset comprised 6567, 4700, and 12,658 Holstein cattle with records of production traits (milk yield, fat yield, and protein yield), fertility (calving interval) and urea traits (milk urea nitrogen and blood urea nitrogen predicted using milk-mid-infrared spectroscopy), respectively. Several regions across the genome drive the correlations between production, fertility, and urea traits. Antagonizing regions were confined to certain parts of the genome and the genes within these regions were mostly involved in preventing metabolic dysregulation, liver reprogramming, metabolism remodeling, and lipid homeostasis. The driving regions were enriched for QTL related to puberty, milk, and health-related traits. Antagonizing regions were mostly related to muscle development, metabolic body weight, and milk traits. In conclusion, we have identified genomic regions of potential importance for dairy cattle breeding. Future studies could investigate the antagonizing regions as potential genomic regions to break the unfavorable correlations and improve milk production as well as fertility and urea traits.</p>","PeriodicalId":7905,"journal":{"name":"Animal genetics","volume":"55 4","pages":"540-558"},"PeriodicalIF":1.8000,"publicationDate":"2024-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/age.13455","citationCount":"0","resultStr":"{\"title\":\"Dissecting loci that underpin the genetic correlations between production, fertility, and urea traits in Australian Holstein cattle\",\"authors\":\"Babatunde S. Olasege, Irene van den Berg, Mekonnen Haile-Mariam, Phuong N. Ho, Zhen Yin Oh, Laercio R. Porto-Neto, Ben J. Hayes, Jennie E. Pryce, Marina R. S. Fortes\",\"doi\":\"10.1111/age.13455\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Unfavorable genetic correlations between milk production, fertility, and urea traits have been reported. However, knowledge of the genomic regions associated with these unfavorable correlations is limited. Here, we used the correlation scan method to identify and investigate the regions driving or antagonizing the genetic correlations between production vs. fertility, urea vs. fertility, and urea vs. production traits. Driving regions produce an estimate of correlation that is in the same direction as the global correlation. Antagonizing regions produce an estimate in the opposite direction of the global estimates. Our dataset comprised 6567, 4700, and 12,658 Holstein cattle with records of production traits (milk yield, fat yield, and protein yield), fertility (calving interval) and urea traits (milk urea nitrogen and blood urea nitrogen predicted using milk-mid-infrared spectroscopy), respectively. Several regions across the genome drive the correlations between production, fertility, and urea traits. Antagonizing regions were confined to certain parts of the genome and the genes within these regions were mostly involved in preventing metabolic dysregulation, liver reprogramming, metabolism remodeling, and lipid homeostasis. The driving regions were enriched for QTL related to puberty, milk, and health-related traits. Antagonizing regions were mostly related to muscle development, metabolic body weight, and milk traits. In conclusion, we have identified genomic regions of potential importance for dairy cattle breeding. 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Dissecting loci that underpin the genetic correlations between production, fertility, and urea traits in Australian Holstein cattle
Unfavorable genetic correlations between milk production, fertility, and urea traits have been reported. However, knowledge of the genomic regions associated with these unfavorable correlations is limited. Here, we used the correlation scan method to identify and investigate the regions driving or antagonizing the genetic correlations between production vs. fertility, urea vs. fertility, and urea vs. production traits. Driving regions produce an estimate of correlation that is in the same direction as the global correlation. Antagonizing regions produce an estimate in the opposite direction of the global estimates. Our dataset comprised 6567, 4700, and 12,658 Holstein cattle with records of production traits (milk yield, fat yield, and protein yield), fertility (calving interval) and urea traits (milk urea nitrogen and blood urea nitrogen predicted using milk-mid-infrared spectroscopy), respectively. Several regions across the genome drive the correlations between production, fertility, and urea traits. Antagonizing regions were confined to certain parts of the genome and the genes within these regions were mostly involved in preventing metabolic dysregulation, liver reprogramming, metabolism remodeling, and lipid homeostasis. The driving regions were enriched for QTL related to puberty, milk, and health-related traits. Antagonizing regions were mostly related to muscle development, metabolic body weight, and milk traits. In conclusion, we have identified genomic regions of potential importance for dairy cattle breeding. Future studies could investigate the antagonizing regions as potential genomic regions to break the unfavorable correlations and improve milk production as well as fertility and urea traits.
期刊介绍:
Animal Genetics reports frontline research on immunogenetics, molecular genetics and functional genomics of economically important and domesticated animals. Publications include the study of variability at gene and protein levels, mapping of genes, traits and QTLs, associations between genes and traits, genetic diversity, and characterization of gene or protein expression and control related to phenotypic or genetic variation.
The journal publishes full-length articles, short communications and brief notes, as well as commissioned and submitted mini-reviews on issues of interest to Animal Genetics readers.