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Deciphering signature of selection affecting beef quality traits in Angus cattle

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Title Deciphering signature of selection affecting beef quality traits in Angus cattle
 
Creator Taye, M.
Joon Yoon
Dessie, Tadelle
Seoae Cho
Sung Jong Oh
Hak-Kyo Lee
Heebal Kim
 
Subject animal breeding
cattle
genetics
livestock
 
Description Artificial selection towards a desired phenotype/trait has modified the genomes of livestock dramatically that generated breeds that greatly differ in morphology, production and environmental adaptation traits. Angus cattle are among the famous cattle breeds developed for superior beef quality. This paper aimed at exploring genomic regions under selection in Angus cattle that are associated with meat quality traits and other associated phenotypes. The whole genome of 10 Angus cattle was compared with 11 Hanwoo (A-H) and 9 Jersey (A-J) cattle breeds using a cross-population composite likelihood ratio (XP-CLR) statistical method. The top 1% of the empirical distribution was taken as significant and annotated using UMD3.1. As a result, 255 and 210 genes were revealed under selection from A–H and A–J comparisons, respectively. The WebGestalt gene ontology analysis resulted in sixteen (A–H) and five (A–J) significantly enriched KEGG pathways. Several pathways associated with meat quality traits (insulin signaling, type II diabetes mellitus pathway, focal adhesion pathway, and ECM-receptor interaction), and feeding efficiency (olfactory transduction, tight junction, and metabolic pathways) were enriched. Genes affecting beef quality traits (e.g., FABP3, FTO, DGAT2, ACS, ACAA2, CPE, TNNI1), stature and body size (e.g., PLAG1, LYN, CHCHD7, RPS20), fertility and dystocia (e.g., ESR1, RPS20, PPP2R1A, GHRL, PLAG1), feeding efficiency (e.g., PIK3CD, DNAJC28, DNAJC3, GHRL, PLAG1), coat color (e.g., MC1-R) and genetic disorders (e.g., ITGB6, PLAG1) were found to be under positive selection in Angus cattle. The study identified genes and pathways that are related to meat quality traits and other phenotypes of Angus cattle. The findings in this study, after validation using additional or independent dataset, will provide useful information for the study of Angus cattle in particular and beef cattle in general.
 
Date 2018-01
2018-05-01T12:49:48Z
2018-05-01T12:49:48Z
 
Type Journal Article
 
Identifier Taye, M., Joon Yoon, Dessie, T., Seoae Cho, Sung Jong Oh, Hak-Kyo Lee and Heebal Kim. 2018. Deciphering signature of selection affecting beef quality traits in Angus cattle. Genes and Genomics 40(1):63–75.
2092-9293
https://hdl.handle.net/10568/92439
https://doi.org/10.1007/s13258-017-0610-z
 
Language en
 
Rights Copyrighted; all rights reserved
Open Access
 
Format p. 63-75
 
Publisher Springer
 
Source Genes and Genomics