Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Identification of key adipogenic transcription factors for the pork belly parameters via the association weight matrix

Authors
Lee, Seung-HoonLee, Sang-HoonPark, Hee-BokKim, Jun-Mo
Issue Date
Jan-2023
Publisher
Elsevier Ltd
Keywords
Association weight matrix; Component muscle; GWAS; Pig; Pork belly
Citation
Meat Science, v.195
Journal Title
Meat Science
Volume
195
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/67450
DOI
10.1016/j.meatsci.2022.109015
ISSN
0309-1740
1873-4138
Abstract
Pork belly, which contains various components of muscle and fat, is one of the most favorable parts of pork. However, pig-breeding has largely focused on improving longissimus thoracis, representing the lean-meat production capacity, and the quality of pork belly has not improved because of the absence of established standards. Previous studies have suggested a standard for the establishment of such standards and relevant genetic parameters, but no key gene has been identified yet. Here, we predicted key genes, including transcription factors, related to pork belly formation. We analyzed 543 Yorkshire pigs and their SNP chip data and identified 3238 genes and 135,025 edges related to pork belly traits by using the association weight matrix. Based on these results, in silico validation was performed. The predicted nine transcription factors, including the key trio, were enriched in adipogenesis-related signaling pathways. The transcription factors and corresponding genetic network identified in this study may be useful in improving pork belly parameters. © 2022 Elsevier Ltd
Files in This Item
There are no files associated with this item.
Appears in
Collections
ETC > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Kim, Jun-Mo photo

Kim, Jun-Mo
대학원 (동물생명공학과.)
Read more

Altmetrics

Total Views & Downloads

BROWSE