AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (25.6 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article | Open Access

Integrating a genome-wide association and transcriptome analysis to provide molecular insights into growth rates in sheep

Liming Zhao1Fadi Li1Xiaoxue Zhang2Lüfeng Yuan3Huibin Tian1Dan Xu1Deyin Zhang1Yukun Zhang1Yuan Zhao1Kai Huang1Xiaolong Li1Jiangbo Cheng1Zongwu Ma2Quanzhong Xu1Xiaobin Yang1Kunchao Han1Xiuxiu Weng1Weimin Wang1( )
State Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems/Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs/Engineering Research Center of Grassland Industry, Ministry of Education/College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China
College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, China
Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou 730046, China
Show Author Information

Highlights

• Integrated genome-wide association study (GWAS) and transcriptome analysis identified BRINP3 and PENK as key candidate genes regulating sheep growth rate.

• Differentially expressed genes are mainly enriched in fat metabolism and energy metabolism pathways associated with sheep growth.

BRINP3 and PENK polymorphisms are significantly associated with growth traits in Hu sheep, potentially regulating growth via feeding behavior.

Abstract

Investigating the genetic markers and key genes associated with sheep growth rate using integrated multi-omics approaches could provide valuable insights for the sheep industry. Based on the average daily gain (ADG), fast-growing (Ncase=70) and slow-growing (Ncontrol=70) Hu sheep were selected for a genome-wide association study (GWAS). A total of 10 Hu sheep (5 fast-growing and 5 slow-growing) and 10 Dorper sheep (5 fast-growing and 5 slow-growing) were selected for a comparative transcriptome analysis. Hub genes and tissue-specific genes (TSGs) were identified using weighted gene co-expression network analysis (WGCNA) and RNA sequencing (RNA-Seq) data from ten tissues, respectively. Ten genes were found within 50 kb distances of the significant single nucleotide polymorphisms (SNPs). Based on a comparative transcriptomic analysis, totals of 501 and 441 differentially expressed genes (DEGs) were identified in the HF vs. HS and DF vs. DS comparisons, respectively. Some important signaling pathways were found to be closely associated with fat metabolism and energy metabolism, such as “regulation of lipolysis in adipocytes”, “oxidative phosphorylation”, and “thermogenesis”. Several DEGs play crucial roles in fat deposition (such as ADRB3, PDE3B, FABP4, SERPINE1, PLIN1, and FOXO6) and muscle development (MYL3). Using the WGCNA analysis, 15 genes were considered to be hub genes associated with ADG. The integration of GWAS and RNA-Seq data indicated that BRINP3 and PENK may further influence the growth rate by regulating feeding behavior in sheep. An association analysis of 1,071 Hu sheep populations revealed that mutations in the BRINP3 (BRINP3 g.16903465 T>C) and PENK (PENK g.39289926 T>C) genes were significantly related to the growth traits (P<0.05). This study provides novel insights into the molecular mechanisms underlying growth traits in sheep, and the BRINP3 and PENK genes may be potential key candidate genes related to sheep growth rate.

References

【1】
【1】
 
 
Journal of Integrative Agriculture (JIA)
Pages 3352-3367

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Zhao L, Li F, Zhang X, et al. Integrating a genome-wide association and transcriptome analysis to provide molecular insights into growth rates in sheep. Journal of Integrative Agriculture (JIA), 2026, 25(8): 3352-3367. https://doi.org/10.1016/j.jia.2024.08.011

5

Views

0

Downloads

0

Crossref

0

Web of Science

0

Scopus

0

CSCD

Received: 10 April 2024
Revised: 18 June 2024
Accepted: 02 August 2024
Published: 22 August 2024
© 2026 CAAS.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer review under responsibility of Editorial Board of Journal of Integrative Agriculture.