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金黄色葡萄球菌的操纵子结构。

Operon structure of Staphylococcus aureus.

机构信息

Medical Microbiology, University Medical Center Utrecht, Utrecht, the Netherlands.

出版信息

Nucleic Acids Res. 2010 Jun;38(10):3263-74. doi: 10.1093/nar/gkq058. Epub 2010 Feb 11.

Abstract

In bacteria, gene regulation is one of the fundamental characteristics of survival, colonization and pathogenesis. Operons play a key role in regulating expression of diverse genes involved in metabolism and virulence. However, operon structures in pathogenic bacteria have been determined only by in silico approaches that are dependent on factors such as intergenic distances and terminator/promoter sequences. Knowledge of operon structures is crucial to fully understand the pathophysiology of infections. Presently, transcriptome data obtained from growth curves in a defined medium were used to predict operons in Staphylococcus aureus. This unbiased approach and the use of five highly reproducible biological replicates resulted in 93.5% significantly regulated genes. These data, combined with Pearson's correlation coefficients of the transcriptional profiles, enabled us to accurately compile 93% of the genome in operon structures. A total of 1640 genes of different functional classes were identified in operons. Interestingly, we found several operons containing virulence genes and showed synergistic effects for two complement convertase inhibitors transcribed in one operon. This is the first experimental approach to fully identify operon structures in S. aureus. It forms the basis for further in vitro regulation studies that will profoundly advance the understanding of bacterial pathophysiology in vivo.

摘要

在细菌中,基因调控是生存、定殖和发病机制的基本特征之一。操纵子在调节代谢和毒力相关的多种基因表达方面发挥着关键作用。然而,致病菌的操纵子结构仅通过基于基因间距离和终止子/启动子序列等因素的计算机模拟方法来确定。了解操纵子结构对于充分理解感染的病理生理学至关重要。目前,使用从特定培养基中的生长曲线获得的转录组数据来预测金黄色葡萄球菌中的操纵子。这种无偏方法和使用五个高度可重复的生物重复,导致 93.5%的显著调控基因。这些数据与转录谱的皮尔逊相关系数相结合,使我们能够准确地将 93%的基因组编译成操纵子结构。在操纵子中鉴定了 1640 个具有不同功能类别的基因。有趣的是,我们发现了几个包含毒力基因的操纵子,并显示出一个操纵子中转录的两种补体转化酶抑制剂的协同作用。这是首次在金黄色葡萄球菌中全面鉴定操纵子结构的实验方法。它为进一步的体外调控研究奠定了基础,这将深入了解体内细菌病理生理学。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0842/2879529/f9178cd972f7/gkq058f1.jpg

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