Suppr超能文献

肠杆菌科特异性γ-变形杆菌砷酸盐还原酶蛋白的系统发育分析,表明砷的毒性。

Phylogenetic analysis of gammaproteobacterial arsenate reductase proteins specific to Enterobacteriaceae family, signifying arsenic toxicity.

机构信息

Center of Bioinformatics, University of Allahabad, Allahabad, 211002, India,

出版信息

Interdiscip Sci. 2014 Mar;6(1):57-62. doi: 10.1007/s12539-014-0186-0. Epub 2014 Jan 28.

Abstract

This study focuses on the phylogenetic analysis of all the ArsC protein sequences, obtained from similarity search against Gammaproteobacteria, and also studies the role of Gammaproteobacterial family in arsenic toxicity. The ars gene provides arsenic tolerance for microbial cell system and encodes for an arsenate reductase (ArsC), which is essential for arsenate resistance that converts arsenate into arsenite. Phylogenetic analysis offers an opportunity to understand the evolutionary relationship between organisms of interest. The phylogenetic experiment was set up for all possible ArsC sequences in class Gammaproteobacteria. The results suggested a wide similarity between ArsC sequences in the species of Enterobacteriaceae family rather than other families in Gammaproteobacteria. The three evolutionary clades revealed a role of Enterobacteriaceae species, which has the capability to code ArsC protein. Further phylogenetic analysis of ArsC crystal structure sequences has also shown the separate cluster of Enterobacter species. The overall phylogeny of the ArsC protein sequences suggests the species of Enterobacteriaceae family express more among all family of Gammaproteobacteria. This study could be advantageous to emphasize the importance of Enterobacteriaceae in arsenic toxicity.

摘要

本研究侧重于对所有从γ变形菌相似性搜索中获得的 ArsC 蛋白序列进行系统发育分析,并研究γ变形菌家族在砷毒性中的作用。ars 基因赋予微生物细胞系统砷耐受性,并编码砷酸盐还原酶(ArsC),这对于将砷酸盐转化为亚砷酸盐的砷酸盐抗性至关重要。系统发育分析为了解感兴趣的生物体之间的进化关系提供了机会。在γ变形菌的所有可能 ArsC 序列中设置了系统发育实验。结果表明,肠杆菌科物种的 ArsC 序列之间具有广泛的相似性,而不是γ变形菌中的其他家族。三个进化枝揭示了肠杆菌科物种的作用,它们具有编码 ArsC 蛋白的能力。对 ArsC 晶体结构序列的进一步系统发育分析也显示了肠杆菌属的单独聚类。ArsC 蛋白序列的总体系统发育表明,肠杆菌科的物种在所有γ变形菌家族中表达更为丰富。这项研究可能有助于强调肠杆菌科在砷毒性中的重要性。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验