Wang Wenwen, Wu Keliang, Jia Meiting, Sun Shuhong, Kang Li, Zhang Qin, Tang Hui
Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, Shandong Agricultural University, Taian City, China.
College of Animal Science and Technology, China Agricultural University, Beijing, China.
Front Genet. 2018 Oct 23;9:491. doi: 10.3389/fgene.2018.00491. eCollection 2018.
The analysis of gene expression patterns during ovarian follicle development will advance our understanding of avian reproductive physiology and make it possible to improve laying performance. To gain insight into the molecular regulation of ovarian development, a systematic profiling of miRNAs and mRNAs at four key stages was conducted, using ovarian tissues from hens at 60 days of age (A), 100 days (B), 140 days-not yet laying (C), and 140 days-laying (D). Comparisons of consecutive stages yielded 73 differentially expressed miRNAs (DEMs) (14 for B vs. A, 8 for C vs. B, and 51 for D vs. C) and 2596 differentially expressed genes (DEGs) (51 for B vs. A, 20 for C vs. B, and 2579 for D vs. C). In addition, 174 DEMs (22 for C vs. A, 74 for D vs. A, and 78 for D vs. B) and 3205 DEGs (118 for C vs. A, 2284 for D vs. A, and 2882 for D vs. B) were identified between nonconsecutive stages. Some DEGs are involved in the Wnt and TGF-beta signaling pathways, which are known to affect ovarian development and ovulation. An integrative analysis of the miRNA and mRNA profiles identified 3166 putative miRNA-mRNA regulatory pairs containing 84 DEMs and 1047 DEGs. Functional annotation of the networks provides strong evidence that the miRNA regulatory networks may play vital roles in ovarian development and ovulation. Ten DEMs and 10 genes were validated by real-time quantitative PCR. The candidate miRNA-mRNA pairs gga-miR-200a-3p-, gga-miR-101-3p-, gga-miR-32-5p-, and gga-miR-458b-5p- potentially associated with ovarian development.
对卵泡发育过程中基因表达模式的分析将增进我们对禽类生殖生理学的理解，并使提高产蛋性能成为可能。为深入了解卵巢发育的分子调控机制，利用60日龄（A）、100日龄（B）、140日龄未产蛋（C）和140日龄产蛋（D）母鸡的卵巢组织，对四个关键阶段的miRNA和mRNA进行了系统分析。连续阶段的比较产生了73个差异表达的miRNA（DEM）（B组与A组相比有14个，C组与B组相比有8个，D组与C组相比有51个）和2596个差异表达基因（DEG）（B组与A组相比有51个，C组与B组相比有20个，D组与C组相比有2579个）。此外，在非连续阶段鉴定出174个DEM（C组与A组相比有22个，D组与A组相比有74个，D组与B组相比有78个）和3205个DEG（C组与A组相比有118个，D组与A组相比有2284个，D组与B组相比有2882个）。一些DEG参与了Wnt和TGF-β信号通路，已知这些通路会影响卵巢发育和排卵。对miRNA和mRNA谱的综合分析确定了3166个推定的miRNA-mRNA调控对，其中包含84个DEM和1047个DEG。网络的功能注释提供了有力证据，表明miRNA调控网络可能在卵巢发育和排卵中发挥重要作用。通过实时定量PCR验证了10个DEM和10个基因。候选的miRNA-mRNA对gga-miR-200a-3p-、gga-miR-101-3p-、gga-miR-32-5p-和gga-miR-458b-5p-可能与卵巢发育相关。
