Predictive modeling of oocyte maternal mRNA features for five mammalian species reveals potential shared and species-restricted regulators during maturation.

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
ACS Applied Bio Materials Pub Date : 2024-01-01 Epub Date: 2023-10-16 DOI:10.1152/physiolgenomics.00048.2023
Peter Z Schall, Keith E Latham
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引用次数: 0

Abstract

Oocyte maturation is accompanied by changes in abundances of thousands of mRNAs, many degraded and many preferentially stabilized. mRNA stability can be regulated by diverse features including GC content, codon bias, and motifs within the 3'-untranslated region (UTR) interacting with RNA binding proteins (RBPs) and miRNAs. Many studies have identified factors participating in mRNA splicing, bulk mRNA storage, and translational recruitment in mammalian oocytes, but the roles of potentially hundreds of expressed factors, how they regulate cohorts of thousands of mRNAs, and to what extent their functions are conserved across species has not been determined. We performed an extensive in silico cross-species analysis of features associated with mRNAs of different stability classes during oocyte maturation (stable, moderately degraded, and highly degraded) for five mammalian species. Using publicly available RNA sequencing data for germinal vesicle (GV) and MII oocyte transcriptomes, we determined that 3'-UTR length and synonymous codon usage are positively associated with stability, while greater GC content is negatively associated with stability. By applying machine learning and feature selection strategies, we identified RBPs and miRNAs that are predictive of mRNA stability, including some across multiple species and others more species-restricted. The results provide new insight into the mechanisms regulating maternal mRNA stabilization or degradation.NEW & NOTEWORTHY Conservation across species of mRNA features regulating maternal mRNA stability during mammalian oocyte maturation was analyzed. 3'-Untranslated region length and synonymous codon usage are positively associated with stability, while GC content is negatively associated. Just three RNA binding protein motifs were predicted to regulate mRNA stability across all five species examined, but associated pathways and functions are shared, indicating oocytes of different species arrive at comparable physiological destinations via different routes.

五种哺乳动物卵母细胞母体mRNA特征的预测建模揭示了成熟过程中潜在的共享和物种限制调节因子。
卵母细胞成熟伴随着数千个信使核糖核酸丰度的变化,其中许多被降解,许多优先稳定。信使核糖核酸的稳定性可以通过多种特征来调节,包括GC含量、密码子偏差以及与RNA结合蛋白(RBPs)和miRNA相互作用的3'非翻译区(UTR)内的基序。许多研究确定了参与哺乳动物卵母细胞中信使核糖核酸剪接、大量信使核糖核酸储存和翻译募集的因素,但潜在的数百种表达因子的作用、它们如何调节数千种信使核糖核酸的队列,以及它们的功能在多大程度上在物种间保守还没有确定。我们对五种哺乳动物的卵母细胞成熟过程中不同稳定性类别(稳定、中度降解和高度降解)的mRNA的相关特征进行了广泛的计算机跨物种分析。使用GV和MII卵母细胞转录组的公开可用RNA测序数据,我们确定3’UTR长度和同义密码子使用与稳定性呈正相关,而较大的GC含量与稳定性负相关。通过应用机器学习和特征选择策略,我们确定了能够预测mRNA稳定性的RBP和miRNA,包括一些跨多个物种的RBP,以及其他更受限制的物种。该结果为调节母体信使核糖核酸稳定或降解的机制提供了新的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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