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黄单胞菌属的双组分信号转导系统:来自基因组学的启示

Two-component signal transduction systems of Xanthomonas spp.: a lesson from genomics.

作者信息

Qian Wei, Han Zhong-Ji, He Chaozu

机构信息

State Key Laboratory of Plant Genomics, Institute of Microbiology, Chinese Academy of Sciences. Beijing 100101, PR China.

出版信息

Mol Plant Microbe Interact. 2008 Feb;21(2):151-61. doi: 10.1094/MPMI-21-2-0151.

Abstract

The two-component signal transduction systems (TCSTSs), consisting of a histidine kinase sensor (HK) and a response regulator (RR), are the dominant molecular mechanisms by which prokaryotes sense and respond to environmental stimuli. Genomes of Xanthomonas generally contain a large repertoire of TCSTS genes (approximately 92 to 121 for each genome), which encode diverse structural groups of HKs and RRs. Among them, although a core set of 70 TCSTS genes (about two-thirds in total) which accumulates point mutations with a slow rate are shared by these genomes, the other genes, especially hybrid HKs, experienced extensive genetic recombination, including genomic rearrangement, gene duplication, addition or deletion, and fusion or fission. The recombinations potentially promote the efficiency and complexity of TCSTSs in regulating gene expression. In addition, our analysis suggests that a co-evolutionary model, rather than a selfish operon model, is the major mechanism for the maintenance and microevolution of TCSTS genes in the genomes of Xanthomonas. Genomic annotation, secondary protein structure prediction, and comparative genomic analyses of TCSTS genes reviewed here provide insights into our understanding of signal networks in these important phytopathogenic bacteria.

摘要

双组分信号转导系统(TCSTSs)由组氨酸激酶传感器(HK)和响应调节因子(RR)组成,是原核生物感知和响应环境刺激的主要分子机制。黄单胞菌属的基因组通常包含大量的TCSTS基因(每个基因组约92至121个),这些基因编码不同结构组的HK和RR。其中,虽然这些基因组共有一组核心的70个TCSTS基因(约占总数的三分之二),其积累点突变的速度较慢,但其他基因,尤其是杂合HK,经历了广泛的基因重组,包括基因组重排、基因复制、添加或缺失以及融合或裂变。这些重组可能会提高TCSTSs在调节基因表达方面的效率和复杂性。此外,我们的分析表明,协同进化模型而非自私操纵子模型是黄单胞菌属基因组中TCSTS基因维持和微进化的主要机制。本文综述的TCSTS基因的基因组注释、蛋白质二级结构预测和比较基因组分析,有助于我们深入了解这些重要植物病原菌中的信号网络。

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