Ribo-Seq Analysis-Based Elucidation of the Dynamic Translation Landscape of Yak Ovarian Tissues in Different Reproductive Stages

基于核糖体测序分析的牦牛卵巢组织在不同生殖阶段动态翻译图谱的阐明

阅读:1

Abstract

Translation, plays a critical regulatory role in follicular development, ovulation, and corpus luteum formation and degeneration in the ovaries. To better understand the molecular mechanisms of reproductive regulation at the translation level in yaks, the present study analyzed gene expression changes in the ovarian tissues of yaks in different reproductive stages by using ribosome profiling and integrating RNA sequencing data. The small open reading frames (sORFs) of the ovarian tissue were characterized, and the effect of the translation efficiency of the targeted genes on their sequence features was determined. The results showed that over 80% of genes in the two groups exhibited inconsistent changes in their expression at the transcription and translation levels; this finding indicated that the changes in gene expression at both levels were not merely synergistic. The pathway enrichment analysis revealed that these differentially expressed genes were enriched in various pathways, including PI3K-Akt, MAPK, calcium signaling, and ovarian steroidogenesis. Further investigations showed that some genes related to ovarian function displayed inconsistent changes in their expression at both transcription and translation levels and exhibited dynamic changes in translation activity, including PALB2, BMP7, PIK3R2, and WNT2B. Additionally, we identified 66 predicted translatable sORFs and assessed the impact of upstream ORFs on the translation efficiency of downstream major ORFs. The present study systematically revealed the characteristics of gene expression at the translational level in yak ovarian tissues in different reproductive stages for the first time and provided a new perspective for in-depth understanding of the physiological mechanisms of yak reproduction.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。