Integrative analysis of transcriptomic and metabolomic profiles reveal the complex molecular regulatory network of meat quality in Enshi black pigs

Copyright © 2021 Elsevier Ltd. All rights reserved..

Improving meat quality is a crucial purpose of commercial production and breeding systems. In this study, multiomics techniques were used to investigate the molecular mechanisms that impact the excessive diversity of meat quality in Enshi black pigs. The results suggest that 120 differentially expressed genes (DEGs) and 171 significantly changed metabolites (SCMs) contribute to the content of intramuscular fat (IMF) through the processes of fat accumulation and regulation of lipolysis. A total of 141 DEGs and 47 SCMs may regulate meat color through the processes of nicotinate and nicotinamide metabolism. Herein, we found some candidate genes associated with IMF and meat color. We also presented a series of metabolites that are potentially available biological indicators to measure meat quality. This research provides further insight into the detection of intramuscular fat accumulation and meat color variation and provides a reference for molecular mechanisms in the regulation of IMF and meat color.

Medienart:

E-Artikel

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

Zur Gesamtaufnahme - volume:183

Enthalten in:

Meat science - 183(2022) vom: 15. Jan., Seite 108642

Sprache:

Englisch

Beteiligte Personen:

Zhan, Huiwen [VerfasserIn]
Xiong, Youcai [VerfasserIn]
Wang, Zichang [VerfasserIn]
Dong, Wenjun [VerfasserIn]
Zhou, Qichao [VerfasserIn]
Xie, Shengsong [VerfasserIn]
Li, Xinyun [VerfasserIn]
Zhao, Shuhong [VerfasserIn]
Ma, Yunlong [VerfasserIn]

Links:

Volltext

Themen:

25X51I8RD4
2679MF687A
IMF
Journal Article
Meat color
Metabolomics
Niacin
Niacinamide
Pork
Transcriptomics

Anmerkungen:

Date Completed 03.11.2021

Date Revised 03.11.2021

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1016/j.meatsci.2021.108642

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM329346512