Weighted gene co-expression network analysis identifies important modules and hub genes involved in the regulation of breast muscle yield in broilers.

IF 2.4 2区 农林科学 Q1 AGRICULTURE, DAIRY & ANIMAL SCIENCE
Xing Guo, Hao Wang, Meng Liu, Jinmei Xu, Yanan Liu, Hong Zhang, Xin-Xin He, Jiang-Xian Wang, Wei Wei, Da-Long Ren, Runshen Jiang
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Abstract

Objective Increasing breast meat production is one of the primary goals of the broiler industry. Over the past few decades, tremendous progress has been made in genetic selection and the identification of candidate genes for improving the breast muscle mass. However, the molecular network contributing to muscle production traits in chickens still needs to be further illuminated. Methods A total of 150 1-day-old male 817 broilers were reared in a floor litter system. At the market age of 50 d, eighteen healthy 817 broilers were slaughtered and the left pectoralis major muscle sample from each bird was collected for RNA-seq sequencing. The birds were then plucked and eviscerated and the whole breast muscle was removed and weighed. Breast muscle yield was calculated as the ratio of the breast muscle weight to the eviscerated weight. To identify the co-expression networks and hub genes contributing to breast muscle yield in chickens, we performed weighted gene co-expression network analysis (WGCNA) based on the 18 transcriptome datasets of pectoralis major muscle from eighteen 817 broilers. Results The WGCNA analysis classified all co-expressed genes in the pectoral muscle of 817 broilers into 44 modules. Among these modules, the turquoise and skyblue3 modules were found to be most significantly positively (r=0.78, p=1e-04) and negatively (r=-0.57, p=0.01) associated with breast meat yield, respectively. Further analysis identified several hub genes (e.g., DLX3, SH3RF2, TPM1, CAV3, MYF6, and CFL2) that involved in muscle structure and muscle development were identified as potential regulators of breast meat production. Conclusion The present study has advanced our understanding of the molecular regulatory networks contributing to muscle growth and breast muscle production and will contribute to the molecular breeding of chickens in the future.
加权基因共表达网络分析确定了参与肉鸡胸肌产量调控的重要模块和枢纽基因。
目标提高胸肉产量是肉鸡行业的主要目标之一。在过去的几十年中,遗传选择和提高胸肌质量候选基因的鉴定取得了巨大的进展。方法在地面饲养系统中饲养 150 只 1 日龄雄性 817 肉鸡。在上市鸡龄为 50 d 时,宰杀 18 只健康的 817 肉鸡,收集每只鸡的左胸大肌样本进行 RNA-seq 测序。然后将肉鸡拔毛、开膛,取出整块胸肌并称重。胸肌产量按胸肌重量与内脏重量之比计算。结果 WGCNA分析将817只肉鸡胸肌中的所有共表达基因分为44个模块。在这些模块中,绿松石模块和天蓝3模块分别与胸肉产量呈显著正相关(r=0.78,p=1e-04)和负相关(r=-0.57,p=0.01)。进一步分析发现,几个参与肌肉结构和肌肉发育的中枢基因(如 DLX3、SH3RF2、TPM1、CAV3、MYF6 和 CFL2)被认为是乳肉产量的潜在调控因子。
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来源期刊
Animal Bioscience
Animal Bioscience AGRICULTURE, DAIRY & ANIMAL SCIENCE-
CiteScore
5.00
自引率
0.00%
发文量
223
审稿时长
3 months
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