Li Ruidong, Wang Yuhua, Xie Fei, Tong Xinwei, Li Xiaojin, Ren Man, Hu Qianqian, Li Shenghe
College of Animal Science, Anhui Science and Technology University, Chuzhou 239000, China.
Anhui Province Key Laboratory of Animal Nutritional Regulation and Health, Chuzhou 233100, China.
Animals (Basel). 2024 Nov 13;14(22):3258. doi: 10.3390/ani14223258.
Ovarian development significantly influences the laying performance of geese. In this study, the transcriptome analysis was conducted on the ovarian tissues of Wanxi White Geese during the pre-laying (KL), laying (CL), and ceased-laying period (XL). Short Time-series Expression Miner (STEM) analysis and miRNA-mRNA regulatory network construction were performed to identify the key genes and miRNAs regulating laying traits. Comparative analysis of KL vs. CL, CL vs. XL, and XL vs. KL groups resulted in the identification of 337, 136, and 525 differentially expressed genes (DEGs), and 258, 1131, and 909 differentially expressed miRNAs (DEMs), respectively. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis ( < 0.05) revealed that the main enrichment pathways of DEGs and DEMs at different breeding periods were Neuroactive ligand-receptor interaction, GnRH signaling pathway and Wnt signaling pathway, all associated with ovarian development. According to the three groups of common pathways, four DEGs were screened out, including INHBB, BMP5, PRL, and CGA, along with five DEMs, including let-7-x, miR-124-y, miR-1-y, and miR-10926-z, all of them may affect ovarian development. A miRNA-mRNA regulatory network was constructed through integrated analysis of DEGs and DEMs, revealing nine miRNAs highly associated with ovarian development: miR-101-y, let-7-x, miR-1-x, miR-17-y, miR-103-z, miR-204-x, miR-101-x, miR-301-y, and miR-151-x. The dual-luciferase reporter gene verified the target relationship between WIF1 and miR-204-x, suggesting that these miRNAs may influence ovarian development in Wanxi White Goose by regulating the expression levels of their target genes within ovarian tissue. This study provides a theoretical foundation for analyzing the mechanisms of ovarian development across different breeding periods and accelerating the cultivation of new breeds through post-transcriptional regulation levels.
卵巢发育显著影响鹅的产蛋性能。本研究对皖西白鹅产蛋前期（KL）、产蛋期（CL）和休产期（XL）的卵巢组织进行了转录组分析。通过短时序列表达挖掘工具（STEM）分析和构建miRNA-mRNA调控网络，以鉴定调控产蛋性状的关键基因和miRNA。KL与CL、CL与XL、XL与KL组的比较分析分别鉴定出337、136和525个差异表达基因（DEG），以及258、1131和909个差异表达miRNA（DEM）。京都基因与基因组百科全书（KEGG）通路富集分析（<0.05）表明，不同繁殖时期DEG和DEM的主要富集通路为神经活性配体-受体相互作用、GnRH信号通路和Wnt信号通路，均与卵巢发育相关。根据三组共同通路，筛选出4个DEG，包括抑制素βB（INHBB）、骨形态发生蛋白5（BMP5）、催乳素（PRL）和绒毛膜促性腺激素α亚基（CGA），以及5个DEM，包括let-7-x、miR-124-y、miR-1-y和miR-10926-z，它们均可能影响卵巢发育。通过对DEG和DEM的综合分析构建了miRNA-mRNA调控网络，揭示了9个与卵巢发育高度相关的miRNA：miR-101-y、let-7-x、miR-1-x、miR-17-y、miR-103-z、miR-204-x、miR-101-x、miR-301-y和miR-151-x。双荧光素酶报告基因验证了WIF1与miR-204-x之间的靶向关系，表明这些miRNA可能通过调节其在卵巢组织内靶基因的表达水平来影响皖西白鹅的卵巢发育。本研究为分析不同繁殖时期卵巢发育的机制以及通过转录后调控水平加速新品种培育提供了理论基础。
