Identification and Functional Prediction of Long Non-Coding RNA in Longissimus Dorsi Muscle of Queshan Black and Large White Pigs

Author:

Dou Yaqing,Qi KunlongORCID,Liu Yingke,Li Chenlei,Song Chenglei,Wei Yilin,Zhang Zhe,Li Xinjian,Wang KejunORCID,Li XiulingORCID,Qiao RuiminORCID,Yang FengORCID,Han Xuelei

Abstract

Long non-coding RNA (lncRNA) participates in the regulation of various biological processes, but its function and characteristics in intramuscular fat (IMF) deposition in different breeds of pigs have not been fully understood. IMF content is one of the important factors affecting pork quality. In the present study, the differentially expressed lncRNAs (DE lncRNAs) and their target genes were screened by comparing Queshan Black (QS) and Large White (LW) pigs based on RNA-seq. The results displayed 55 DE lncRNAs between QS and LW, 29 upregulated and 26 downregulated, with 172 co-located target genes, and 6203 co-expressed target genes. The results of GO and KEGG analysis showed that the target genes of DE lncRNAs were involved in multiple pathways related to lipogenesis and lipid metabolism, such as the lipid biosynthetic process, protein phosphorylation, activation of MAPK activity, and the Jak-STAT signaling pathway. By constructing regulatory networks, lincRNA-ZFP42-ACTC1, lincRNA-AMY2-STAT1, and/or lincRNA-AMY2/miR-204/STAT1 were sieved, and the results indicate that lncRNA could participate in IMF deposition through direct regulation or ceRNA. These findings provide a basis for analyzing the molecular mechanism of IMF deposition in pigs and lay a foundation for developing and utilizing high-quality resources of local pig breeds.

Funder

14th Five-Year National Key R&D Program

Agricultural Breeds Research Project of Henan Province

Publisher

MDPI AG

Subject

Genetics (clinical),Genetics

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3