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© 2020 Yin et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

FABP4 is a candidate gene for carcass and meat quality traits in livestock and poultry. However, the effects of FABP4 have not been examined in the Yanbian yellow cattle, an economically important local cattle breed in China. In this study, we characterized single nucleotide polymorphisms (SNPs) in FABP4 in this cattle breed and their associations with meat quality traits. Six SNPs (referred to as SNP1–6) were identified in FABP4 by direct sequencing and polymerase chain reaction-restriction fragment length polymorphism. The six SNPs were significantly correlated with meat quality traits. In particular, the GG and GA genotypes of SNP1 were significantly associated with water and fat contents and GG and AA genotypes of SNP1 were significantly associated with protein contents (P < 0.05). The fat content and marbling in heterozygous individuals at SNP2–6 were significantly higher than those in wild-type or mutant individuals (P < 0.05), while protein content was significantly higher in wild-type and mutant individuals than in heterozygous individuals (P < 0.05). A gene expression analysis indicated that the lipid metabolism-related genes FABP4, PPARγ, ANGPTL4, and LPL show similar expression patterns with respect to FABP4 genotypes, with the highest levels in wild-type individuals and the lowest levels in mutants. In conclusion, FABP4 SNPs can be used for marker-assisted selection in Yanbian yellow cattle breeding.

Details

Title
Correlations between single nucleotide polymorphisms in FABP4 and meat quality and lipid metabolism gene expression in Yanbian yellow cattle
Author
Bao-zhen Yin; Jia-chen, Fang; Jia-su, Zhang; Luo-meng, Zhang; Chang, Xu; Hong-yan, Xu; Shao, Jing; Guang-jun Xia
First page
e0234328
Section
Research Article
Publication year
2020
Publication date
Jun 2020
Publisher
Public Library of Science
e-ISSN
19326203
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2416997992
Copyright
© 2020 Yin et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.