Integrative analysis of transcriptomics and proteomics of longissimus thoracis of the Hu sheep compared with the Dorper sheep.


Journal

Meat science
ISSN: 1873-4138
Titre abrégé: Meat Sci
Pays: England
ID NLM: 101160862

Informations de publication

Date de publication:
Nov 2022
Historique:
received: 11 03 2022
revised: 09 07 2022
accepted: 29 07 2022
pubmed: 8 8 2022
medline: 14 9 2022
entrez: 7 8 2022
Statut: ppublish

Résumé

Meat quality is becoming more important for sheep breeding programs. Meat quality is a complex trait affected by genetic and environmental factors. In the present study, an integrative analysis of the longissimus thoracis tissue transcriptome and proteome was conducted to identify genes, proteins, and pathways related to meat quality in sheep. The sheep breeds Hu and Dorper were considered. These breeds were compared for the differences in muscle fiber structure, chemical composition, and amino acid composition. In the Hu sheep vs. Dorper sheep comparison, 22 DEGs/DEPs showed the same mRNA and protein expression trends. These genes are associated with lipid transport, lipid metabolism, and muscular system development. Moreover, some pathways such as "lipid transport", "lipoprotein metabolic process", "Alanine, aspartate and glutamate metabolism", and "Arginine biosynthesis" were significantly enriched in this study. The reliability of the RNA-Seq results was verified by qRT-PCR. These findings provide new insights into the molecular mechanisms of meat quality in sheep.

Identifiants

pubmed: 35933909
pii: S0309-1740(22)00198-X
doi: 10.1016/j.meatsci.2022.108930
pii:
doi:

Substances chimiques

Lipids 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

108930

Informations de copyright

Copyright © 2022 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no conflict of interest.

Auteurs

Liming Zhao (L)

College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China.

Fadi Li (F)

The State Key Laboratory of Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, Gansu 730020, China.

Xiaoxue Zhang (X)

College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China.

Deyin Zhang (D)

The State Key Laboratory of Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, Gansu 730020, China.

Xiaolong Li (X)

College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China.

Yukun Zhang (Y)

College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China.

Yuan Zhao (Y)

College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China.

Qizhi Song (Q)

Linze County Animal Disease Prevention and Control Center of Gansu Province, Linze 734200, China.

Kai Huang (K)

The State Key Laboratory of Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, Gansu 730020, China.

Dan Xu (D)

College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China.

Jiangbo Cheng (J)

College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China.

Jianghui Wang (J)

College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China.

Wenxin Li (W)

College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China.

Changchun Lin (C)

College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China.

Weimin Wang (W)

College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China. Electronic address: wangwm@gsau.edu.cn.

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Classifications MeSH