Background: Genome signatures of artificial selection in U.S. Jersey cattle were identified by examining changes in haplotype homozygosity for a resource population of animals born between 1953 and 2007. Genetic merit of this population changed dramatically during this period for a number of traits, especially milk yield. The intense selection underlying these changes was achieved through extensive use of artificial insemination (AI), which also increased consanguinity of the population to a few superior Jersey bulls. As a result, allele frequencies are shifted for many contemporary animals, and in numerous cases to a homozygous state for specific genomic regions. The goal of this study was to identify those selection signatures that occurred after extensive use of AI since the 1960, using analyses of shared haplotype segments or Runs of Homozygosity. When combined with animal birth year information, signatures of selection associated with economically important traits were identified and compared to results from an extended haplotype homozygosity analysis.
Results: Overall, our results reveal that more recent selection increased autozygosity across the entire genome, but some specific regions increased more than others. A genome-wide scan identified more than 15 regions with a substantial change in autozygosity. Haplotypes found to be associated with increased milk, fat and protein yield in U.S. Jersey cattle also consistently increased in frequency.
Conclusions: The analyses used in this study was able to detect directional selection over the last few decades when individual production records for Jersey animals were available.
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http://dx.doi.org/10.1186/s12864-015-1500-x | DOI Listing |
Genes (Basel)
November 2024
Dipartimento di Agraria, Università degli Studi di Sassari, 07100 Sassari, Italy.
Objectives: The aim of this study was to investigate the genomic structure of the cattle breeds selected for meat and milk production and to identify selection signatures between them.
Methods: A total of 391 animals genotyped at 41,258 SNPs and belonging to nine breeds were considered: Angus (N = 62), Charolais (46), Hereford (31), Limousin (44), and Piedmontese (24), clustered in the Meat group, and Brown Swiss (42), Holstein (63), Jersey (49), and Montbéliarde (30), clustered in the Milk group. The population stratification was analyzed by principal component analysis (PCA), whereas selection signatures were identified by univariate (Wright fixation index, F) and multivariate (canonical discriminant analysis, CDA) approaches.
J Dairy Sci
January 2025
Department of Animal and Dairy Science, University of Georgia, Athens, GA 30602; Council on Dairy Cattle Breeding, Bowie, MD 20716.
The US dairy cattle genetic evaluation is currently a multistep process, including multibreed traditional BLUP estimations followed by single-breed SNP effects estimation. Single-step GBLUP (ssGBLUP) combines pedigree and genomic data for all breeds in one analysis. Unknown parent groups (UPG) or metafounders (MF) can be used to address missing pedigree information.
View Article and Find Full Text PDFFood Chem
March 2025
School of Public Health, Lanzhou University, Lanzhou 730000, China; Institute of Animal Husbandry and Veterinary, Xizang Academy of Agricultural and Animal Husbandry Sciences, Lhasa 850000, China. Electronic address:
Ghee, a traditional fermented dairy product and dietary staple for inhabitants of the Tibet Plateau, has unclear lipid profiles and flavor formation mechanisms. This study aims to characterize superior ghee varieties and elucidate factors driving the production of beneficial lipids and flavor compounds. Through a comprehensive analysis of lipidomic profiles, volatile organic compound (VOC) release and microbial dynamics during ghee production from Holstein milk (HM) and Jersey milk (JM), A total of 126 differential lipids were identified, primarily associated with glycerophospholipid and sphingolipid metabolism.
View Article and Find Full Text PDFJ Dairy Sci
December 2024
Center for Quantitative Genetics and Genomics, Aarhus University, C. F. Møllers Allé 3, 8000 Aarhus C, Denmark.
J Dairy Sci
December 2024
School of Animal Science, Virginia Tech, Blacksburg, VA 24060. Electronic address:
Multi-parous Holstein cows exposed to short day photoperiod (SDPP) of 8 h of light per day during their dry period produced up to 3.2 kg more milk per day compared with cows exposed to long day photoperiod (LDPP) of 16 h of light per day; it is unknown if a similar response would be observed for Jersey cow milk production. The objective of this study was to determine the effect of photoperiod during the dry period on subsequent colostrum and milk production in Holstein and Jersey cattle.
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