Suppr超能文献

关于原核生物在高温下基因组适应性的起源

On the origin of genomic adaptation at high temperature for prokaryotic organisms.

作者信息

Basak Surajit, Ghosh Tapash Chandra

机构信息

Bioinformatics Centre, Bose Institute, P 1/12, C.I.T. Scheme VII M, Kolkata 700 054, India.

出版信息

Biochem Biophys Res Commun. 2005 May 13;330(3):629-32. doi: 10.1016/j.bbrc.2005.02.134.

Abstract

For a long time, the central issue of evolutionary genomics was to find out the adaptive strategy of nucleic acid molecules of various microorganisms having different optimal growth temperatures (Topt). Long-standing controversies exist regarding the correlations between genomic G+C content and Topt, and this debate has not been yet settled. We address this problem by considering the fact that adaptation to growth at high temperature requires a coordinated set of evolutionary changes affecting: (i) nucleic acid thermostability and (ii) stability of codon-anticodon interactions. In the present study, we analyzed 16 prokaryotic genomes having intermediate G+C content and widely varying optimal growth temperatures. Results show that elevated growth temperature imposes selective constraints not only on nucleic acid level but also affects the stability of codon-anticodon interaction. We observed a decrease in the frequency of SSC and SSG codons with the increase in Topt to avoid the formation of side-by-side GC base pairs in the codon-anticodon interaction, thereby making it impossible for a genome to increase GC composition uniformly through the whole coding sequence. Thus, we suggest that any attempt to obtain a generalized relation between genomic GC composition and optimal growth temperature would hardly evolve any satisfactory result.

摘要

长期以来,进化基因组学的核心问题是找出具有不同最适生长温度(Topt)的各种微生物核酸分子的适应性策略。关于基因组G+C含量与Topt之间的相关性存在长期争议,且这场争论尚未解决。我们通过考虑以下事实来解决这个问题:适应高温生长需要一系列协同的进化变化,这些变化影响:(i)核酸热稳定性和(ii)密码子-反密码子相互作用的稳定性。在本研究中,我们分析了16个具有中等G+C含量且最适生长温度差异很大的原核生物基因组。结果表明,生长温度升高不仅对核酸水平施加选择性限制,还会影响密码子-反密码子相互作用的稳定性。我们观察到随着Topt的增加,SSC和SSG密码子的频率降低,以避免在密码子-反密码子相互作用中形成并排的GC碱基对,从而使基因组无法通过整个编码序列均匀地增加GC组成。因此,我们认为,任何试图获得基因组GC组成与最适生长温度之间普遍关系的尝试都很难得出令人满意的结果。

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