保存的跨域蛋白与mRNA比率使得微生物中的蛋白质组预测成为可能
Mengshi Zhang1,2, Changyi Zhang3, Anayancy Ramos1
1School of Biological Sciences and Center for Microbial Dynamics and Infection, Georgia Institute of Technology, Atlanta, Georgia, USA.
mBio
|July 24, 2025
概括
科学家们开发了RNA-to-protein转化因子,以更好地从微生物中的基因表达数据中预测蛋白质水平. 这种方法改善了跨不同物种的转录组学功能洞察力,减少了对蛋白质数据的需求.
科学领域:
- 微生物生态学 微生物生态学
- 系统生物学 系统生物学
- 基因组学就是基因组学.
背景情况:
- 微生物社区功能通常从基因表达 (mRNA) 数据中推断出来,但mRNA水平不能可靠地预测蛋白质丰富度.
- 准确的蛋白质丰度对于理解微生物功能至关重要,但获得蛋白质组数据是资源密集的.
研究的目的:
- 通过提取基因特异性RNA到蛋白质 (RTP) 转换因子来改进从转录基因数据中改善蛋白质丰度预测的策略.
- 评估这些RTP转换因子的跨物种和跨领域实用性.
主要方法:
- 从7种细菌和1种考古物种中生成配对的mRNA和蛋白质丰度数据.
- 在物种中识别了具有保留蛋白与RNA (ptr) 比率的正统基因.
- 基于保存的ptr比率计算的RTP转换因子.
主要成果:
- RTP转化因子从mRNA水平显著改善了蛋白质丰度预测.
- 来自一种物种的转化因子准确地预测了与远距离相关的物种甚至跨域 (细菌到古生物) 的蛋白质水平.
- 在各种微生物种群中观察到保存的ptr比率,突出显示了一个基本的生物学原理.
结论:
- 建立了一个广泛适用的框架,以提高仅使用转录基因数据的微生物组的功能预测.
- 这种方法减少了对生物体特定蛋白质组数据的依赖,为微生物研究提供了强大的工具.
- 这些发现揭示了RNA与蛋白质关系中显著的跨域保护,进步了我们对微生物系统的理解.
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