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Integrating a genome-wide association and transcriptome analysis to provide molecular insights into growth rates in sheep
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Journal of Integrative Agriculture | 2026, 25(8) : 3352 - 3367
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Journal of Integrative Agriculture | 2026, 25(8): 3352-3367
• Animal Science · Veterinary Medicine •
Integrating a genome-wide association and transcriptome analysis to provide molecular insights into growth rates in sheep
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Liming Zhao1, Fadi Li1, Xiaoxue Zhang2, Lüfeng Yuan3, Huibin Tian1, Dan Xu1, Deyin Zhang1, Yukun Zhang1,  Yuan Zhao1, Kai Huang1, Xiaolong Li1, Jiangbo Cheng1, Zongwu Ma2, Quanzhong Xu1, Xiaobin Yang1, Kunchao Han1, Xiuxiu Weng1, Weimin Wang1#
Affiliations
    1State 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
    2College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, China
    3Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou 730046, China
About Author:
Liming Zhao, E-mail: zlmfxy1807285865@163.com; #Correspondence Weimin Wang, Tel: 86+931-7631225, E-mail: wangweimin@lzu.edu.cn
doi: 10.1016/j.jia.2024.08.011
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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.
insect growth regulators  /  chitinase inhibitors  /  OfChi-h  /  phenyl-isoindole-1,3-dione  /  virtual screening
. 联合全基因组关联和转录组分析为绵羊生长速度提供分子见解. 农业科学学报(英文版), 2026 , 25 (8) : 3352 -3367 . DOI: 10.1016/j.jia.2024.08.011
Liming Zhao, Fadi Li, Xiaoxue Zhang, Lüfeng Yuan, Huibin Tian, Dan Xu, Deyin Zhang, Yukun Zhang, Yuan Zhao, Kai Huang, Xiaolong Li, Jiangbo Cheng, Zongwu Ma, Quanzhong Xu, Xiaobin Yang, Kunchao Han, Xiuxiu Weng, Weimin Wang. Integrating a genome-wide association and transcriptome analysis to provide molecular insights into growth rates in sheep[J]. Journal of Integrative Agriculture, 2026 , 25 (8) : 3352 -3367 . DOI: 10.1016/j.jia.2024.08.011
Year 2026 volume 25 Issue 8
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doi: 10.1016/j.jia.2024.08.011
  • Online Date:2026-10-28
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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