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基于转录组分析构建影响山羊产羔数的共表达网络

Construction of Coexpression Networks Affecting Litter Size in Goats Based on Transcriptome Analysis.

作者信息

Ren Yifan, He Junmin, Liu Guifen, Wei Chen, Li Xue, Mao Jingyi, Zhang Guoping, Zhang Wenhao, Long Li, Wang Ming, Tian Kechuan, Huang Xixia

机构信息

College of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China.

Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan 250100, China.

出版信息

Animals (Basel). 2025 May 22;15(11):1505. doi: 10.3390/ani15111505.

Abstract

Optimal litter size on goat farms is an important trait for production and economic efficiency. The ovary and uterus, key components of the reproductive system, play essential roles in reproductive performance. In recent years, numerous genes linked to goat reproductive performance have been identified. However, reliable marker genes that are specifically associated with litter size require further exploration. In this study, eight Jining Grey goats were divided into high-yield ( = 4) and low-yield ( = 4) groups on the basis of their kidding records to identify key regulatory genes associated with litter size. Ovarian and uterine tissues were collected during oestrus for RNA sequencing (RNA-seq). After two outlier uterine tissue samples were excluded, the remaining 14 samples were subjected to WGCNA and differential expression gene (DEG) analysis. A total of 1224 DEGs were identified (|log2(fold change) ≥ 1|, ≤ 0.05), including 912 in ovarian tissues (monozygotic vs. polyzygotic, MO vs. PO) and 312 in uterine tissues (MU vs. PU). Through WGCNA, we identified 15 coexpression modules, among which four key modules were significantly correlated with litter size. Our analysis focused on the magenta and green modules, as they contained 11 and 3 candidate genes overlapping with the DEGs, respectively. Notably, three genes-, , and -were found to play important roles in both ovarian and uterine tissues. These genes mainly participate in regulatory processes such as RNA polymerase II transcription factor activity, calcium ion binding, and extracellular space organization, highlighting their potential as key candidates for future research. Overall, we identified several gene modules associated with litter size in goats, providing potential molecular markers for investigating litter size traits in Jining Grey goats.

摘要

山羊养殖场的最佳产仔数是影响生产和经济效益的重要性状。卵巢和子宫作为生殖系统的关键组成部分,对繁殖性能起着至关重要的作用。近年来,已鉴定出许多与山羊繁殖性能相关的基因。然而,与产仔数特异性相关的可靠标记基因仍有待进一步探索。在本研究中,根据产羔记录将8只济宁青山羊分为高产组(n = 4)和低产组(n = 4),以鉴定与产仔数相关的关键调控基因。在发情期采集卵巢和子宫组织进行RNA测序(RNA-seq)。排除两个子宫组织异常样本后,对其余14个样本进行加权基因共表达网络分析(WGCNA)和差异表达基因(DEG)分析。共鉴定出1224个差异表达基因(|log2(倍数变化)≥ 1|,P ≤ 0.05),其中卵巢组织中有912个(单胎 vs. 多胎,MO vs. PO),子宫组织中有312个(MU vs. PU))。通过WGCNA,我们鉴定出15个共表达模块,其中4个关键模块与产仔数显著相关。我们的分析集中在品红色和绿色模块上,因为它们分别包含11个和3个与差异表达基因重叠的候选基因。值得注意的是,发现三个基因——、和——在卵巢和子宫组织中均发挥重要作用。这些基因主要参与RNA聚合酶II转录因子活性、钙离子结合和细胞外空间组织等调控过程,凸显了它们作为未来研究关键候选基因的潜力。总体而言,我们鉴定出了几个与山羊产仔数相关的基因模块,为研究济宁青山羊的产仔数性状提供了潜在的分子标记。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/91a0/12153645/127bada901ad/animals-15-01505-g001.jpg

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