Cargando…

Identification of Genetic Effects of ACADVL and IRF6 Genes with Milk Production Traits of Holstein Cattle in China

With the development of high-throughput sequencing, RNA sequencing has been widely used in the identification of candidate genes for complex traits in livestock, and the functional genes and mutations with large genetic effects on milk production traits can provide molecular information for marker-a...

Descripción completa

Detalles Bibliográficos
Autores principales: Peng, Peng, Liu, Yanan, Zheng, Weijie, Han, Bo, Wang, Kun, Sun, Dongxiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9777597/
https://www.ncbi.nlm.nih.gov/pubmed/36553659
http://dx.doi.org/10.3390/genes13122393
_version_ 1784856144948232192
author Peng, Peng
Liu, Yanan
Zheng, Weijie
Han, Bo
Wang, Kun
Sun, Dongxiao
author_facet Peng, Peng
Liu, Yanan
Zheng, Weijie
Han, Bo
Wang, Kun
Sun, Dongxiao
author_sort Peng, Peng
collection PubMed
description With the development of high-throughput sequencing, RNA sequencing has been widely used in the identification of candidate genes for complex traits in livestock, and the functional genes and mutations with large genetic effects on milk production traits can provide molecular information for marker-assisted selection to increase the selection accuracy and accelerate genetic gain in dairy cattle. Our previous study on the liver transcriptome of Holstein cows found that acyl-CoA dehydrogenase (ACADVL) and interferon regulatory factor 6 (IRF6) are differentially expressed between dry and peak lactation periods, as well as that they are involved in lipid metabolism and the proliferation and differentiation of mammary epithelial cells. Thus, the two genes were considered candidates for milk traits. Hence, this study further collected 1186 Holstein cows from 110 sire families to investigate their genetic associations with milk yield and composition traits. By resequencing the entire exons and 2000 bp of the 5′ and 3′ flanking regions of the two genes, we identified eight SNPs in ACADVL and eight SNPs in IRF6. Subsequent single-locus association analyses showed that the eight SNPs in ACADVL were all significantly associated with milk fat yield, fat percentage, and protein yield (p values ≤ 0.0001–0.0414), and the eight SNPs in IRF6 were associated with milk, fat, and protein yields in the first or second lactation (p values ≤ 0.0001–0.0467). Using Haploview 4.2, one haplotype block with eight of the SNPs in ACADVL (D’ = 0.99–1.00) and two haplotype blocks in IRF6 with three of the SNPs in each were observed (D’ = 0.98–1.00). Similarly, the haplotype combinations of ACADVL were significantly associated with milk yield, fat percentage, fat yield, and protein yield in the two lactations (p values ≤ 0.0001–0.0125), and those of IRF6 were associated with five milk traits (p values ≤ 0.0001–0.0263). Furthermore, with the JASPAR software, it was predicted that the SNPs 19:g.26933503T>C in ACADVL and 16:g.73501985G>A in IRF6 changed the transcription factor binding sites of ZEB1, PLAGL2, and RHOXF1, implying their impacts on the expressions of the corresponding genes. Our findings demonstrated that the ACADVL and IRF6 genes have significant genetic effects on milk yield and composition traits, and the valuable SNPs might be used as genetic markers for genomic selection programs in dairy cattle.
format Online
Article
Text
id pubmed-9777597
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-97775972022-12-23 Identification of Genetic Effects of ACADVL and IRF6 Genes with Milk Production Traits of Holstein Cattle in China Peng, Peng Liu, Yanan Zheng, Weijie Han, Bo Wang, Kun Sun, Dongxiao Genes (Basel) Article With the development of high-throughput sequencing, RNA sequencing has been widely used in the identification of candidate genes for complex traits in livestock, and the functional genes and mutations with large genetic effects on milk production traits can provide molecular information for marker-assisted selection to increase the selection accuracy and accelerate genetic gain in dairy cattle. Our previous study on the liver transcriptome of Holstein cows found that acyl-CoA dehydrogenase (ACADVL) and interferon regulatory factor 6 (IRF6) are differentially expressed between dry and peak lactation periods, as well as that they are involved in lipid metabolism and the proliferation and differentiation of mammary epithelial cells. Thus, the two genes were considered candidates for milk traits. Hence, this study further collected 1186 Holstein cows from 110 sire families to investigate their genetic associations with milk yield and composition traits. By resequencing the entire exons and 2000 bp of the 5′ and 3′ flanking regions of the two genes, we identified eight SNPs in ACADVL and eight SNPs in IRF6. Subsequent single-locus association analyses showed that the eight SNPs in ACADVL were all significantly associated with milk fat yield, fat percentage, and protein yield (p values ≤ 0.0001–0.0414), and the eight SNPs in IRF6 were associated with milk, fat, and protein yields in the first or second lactation (p values ≤ 0.0001–0.0467). Using Haploview 4.2, one haplotype block with eight of the SNPs in ACADVL (D’ = 0.99–1.00) and two haplotype blocks in IRF6 with three of the SNPs in each were observed (D’ = 0.98–1.00). Similarly, the haplotype combinations of ACADVL were significantly associated with milk yield, fat percentage, fat yield, and protein yield in the two lactations (p values ≤ 0.0001–0.0125), and those of IRF6 were associated with five milk traits (p values ≤ 0.0001–0.0263). Furthermore, with the JASPAR software, it was predicted that the SNPs 19:g.26933503T>C in ACADVL and 16:g.73501985G>A in IRF6 changed the transcription factor binding sites of ZEB1, PLAGL2, and RHOXF1, implying their impacts on the expressions of the corresponding genes. Our findings demonstrated that the ACADVL and IRF6 genes have significant genetic effects on milk yield and composition traits, and the valuable SNPs might be used as genetic markers for genomic selection programs in dairy cattle. MDPI 2022-12-16 /pmc/articles/PMC9777597/ /pubmed/36553659 http://dx.doi.org/10.3390/genes13122393 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Peng, Peng
Liu, Yanan
Zheng, Weijie
Han, Bo
Wang, Kun
Sun, Dongxiao
Identification of Genetic Effects of ACADVL and IRF6 Genes with Milk Production Traits of Holstein Cattle in China
title Identification of Genetic Effects of ACADVL and IRF6 Genes with Milk Production Traits of Holstein Cattle in China
title_full Identification of Genetic Effects of ACADVL and IRF6 Genes with Milk Production Traits of Holstein Cattle in China
title_fullStr Identification of Genetic Effects of ACADVL and IRF6 Genes with Milk Production Traits of Holstein Cattle in China
title_full_unstemmed Identification of Genetic Effects of ACADVL and IRF6 Genes with Milk Production Traits of Holstein Cattle in China
title_short Identification of Genetic Effects of ACADVL and IRF6 Genes with Milk Production Traits of Holstein Cattle in China
title_sort identification of genetic effects of acadvl and irf6 genes with milk production traits of holstein cattle in china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9777597/
https://www.ncbi.nlm.nih.gov/pubmed/36553659
http://dx.doi.org/10.3390/genes13122393
work_keys_str_mv AT pengpeng identificationofgeneticeffectsofacadvlandirf6geneswithmilkproductiontraitsofholsteincattleinchina
AT liuyanan identificationofgeneticeffectsofacadvlandirf6geneswithmilkproductiontraitsofholsteincattleinchina
AT zhengweijie identificationofgeneticeffectsofacadvlandirf6geneswithmilkproductiontraitsofholsteincattleinchina
AT hanbo identificationofgeneticeffectsofacadvlandirf6geneswithmilkproductiontraitsofholsteincattleinchina
AT wangkun identificationofgeneticeffectsofacadvlandirf6geneswithmilkproductiontraitsofholsteincattleinchina
AT sundongxiao identificationofgeneticeffectsofacadvlandirf6geneswithmilkproductiontraitsofholsteincattleinchina