Regulation of Swine Growth by Backfat Tissue During Growing and Finishing Stages

Overview

Journal Animals (Basel)

Date 2021 Dec 24

PMID 34944286

Citations 3

Authors

Young-Jun Seo

Byeonghwi Lim

Do-Young Kim

Kyu-Sang Lim

Jun-Mo Kim

Affiliations

Soon will be listed here.

Abstract

Recently, interest in the function of pig backfat (BF) has increased in the field of livestock animals, and many transcriptome-based studies using commercial pig breeds have been conducted. However, there is a lack of comprehensive studies regarding the biological mechanisms of Korean native pigs (KNPs) and Yorkshire pig crossbreeds. In this study, therefore, BF samples of F1 crossbreeds of KNPs and Yorkshire pigs were investigated to identify differentially expressed genes (DEGs) and their related terms using RNA-sequencing analysis. DEG analysis identified 611 DEGs, of which 182 were up-regulated and 429 were down-regulated. Lipid metabolism was identified in the up-regulated genes, whereas growth and maturation-related terminologies were identified in the down-regulated genes. and were identified as highly connected core genes during functional gene network analysis. Fat tissue was observed to affect lipid metabolism and organ development due to hormonal changes driven by transcriptional alteration. This study provides a comprehensive understanding of BF contribution to crossbreeds of KNPs and Yorkshire pigs during growth periods.

Citing Articles

Transcriptomic profiling of backfat and muscle in Lijiang pigs with divergent body size across growth stages.

Fang S, Luo S, Jin S, Liu J, Li J, Zhang Y Sci Rep. 2024; 14(1):27677.

PMID: 39532937 PMC: 11557953. DOI: 10.1038/s41598-024-78054-6.

Identification of long non-coding RNA-mRNA interactions and genome-wide lncRNA annotation in animal transcriptome profiling.

Park Y, Kim J J Anim Sci Technol. 2023; 65(2):293-310.

PMID: 37093954 PMC: 10119446. DOI: 10.5187/jast.2023.e17.

Expression and Genetic Effects of GLI Pathogenesis-Related 1 Gene on Backfat Thickness in Pigs.

Liu X, Li H, Zhang L, Wang L, Wang L Genes (Basel). 2022; 13(8).

PMID: 36011359 PMC: 9407767. DOI: 10.3390/genes13081448.

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