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细菌细胞中σ因子竞争的模型。

A model for sigma factor competition in bacterial cells.

作者信息

Mauri Marco, Klumpp Stefan

机构信息

Max Planck Institute of Colloids and Interfaces, Potsdam, Germany.

出版信息

PLoS Comput Biol. 2014 Oct 9;10(10):e1003845. doi: 10.1371/journal.pcbi.1003845. eCollection 2014 Oct.

Abstract

Sigma factors control global switches of the genetic expression program in bacteria. Different sigma factors compete for binding to a limited pool of RNA polymerase (RNAP) core enzymes, providing a mechanism for cross-talk between genes or gene classes via the sharing of expression machinery. To analyze the contribution of sigma factor competition to global changes in gene expression, we develop a theoretical model that describes binding between sigma factors and core RNAP, transcription, non-specific binding to DNA and the modulation of the availability of the molecular components. The model is validated by comparison with in vitro competition experiments, with which excellent agreement is found. Transcription is affected via the modulation of the concentrations of the different types of holoenzymes, so saturated promoters are only weakly affected by sigma factor competition. However, in case of overlapping promoters or promoters recognized by two types of sigma factors, we find that even saturated promoters are strongly affected. Active transcription effectively lowers the affinity between the sigma factor driving it and the core RNAP, resulting in complex cross-talk effects. Sigma factor competition is not strongly affected by non-specific binding of core RNAPs, sigma factors and holoenzymes to DNA. Finally, we analyze the role of increased core RNAP availability upon the shut-down of ribosomal RNA transcription during the stringent response. We find that passive up-regulation of alternative sigma-dependent transcription is not only possible, but also displays hypersensitivity based on the sigma factor competition. Our theoretical analysis thus provides support for a significant role of passive control during that global switch of the gene expression program.

摘要

σ因子控制细菌基因表达程序的全局开关。不同的σ因子竞争与有限数量的RNA聚合酶(RNAP)核心酶结合,通过共享表达机制提供了一种基因或基因类别之间相互作用的机制。为了分析σ因子竞争对基因表达全局变化的贡献,我们开发了一个理论模型,该模型描述了σ因子与核心RNAP之间的结合、转录、与DNA的非特异性结合以及分子成分可用性的调节。通过与体外竞争实验进行比较验证了该模型,发现二者具有很好的一致性。转录通过调节不同类型全酶的浓度受到影响,因此饱和启动子仅受到σ因子竞争的微弱影响。然而,在重叠启动子或由两种类型的σ因子识别的启动子的情况下,我们发现即使是饱和启动子也会受到强烈影响。活跃转录有效地降低了驱动它的σ因子与核心RNAP之间的亲和力,从而产生复杂的相互作用效应。核心RNAP、σ因子和全酶与DNA的非特异性结合对σ因子竞争的影响不大。最后,我们分析了在严格反应期间核糖体RNA转录关闭时核心RNAP可用性增加的作用。我们发现,基于σ因子竞争,替代σ依赖性转录的被动上调不仅是可能的,而且还表现出超敏感性。因此,我们的理论分析为基因表达程序全局开关期间被动控制的重要作用提供了支持。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/386e/4191881/4ad97c1f5054/pcbi.1003845.g001.jpg

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