DNA 修复基因的存在与否对细菌突变率和突变模式的影响。

IF 3.2 2区生物学 Q2 EVOLUTIONARY BIOLOGY

Genome Biology and Evolution Pub Date : 2024-10-09 DOI:10.1093/gbe/evae216

Georgios Kalogiannis, Adam Eyre-Walker

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引用次数: 0

摘要

细菌在进化过程中会丢失和获得修复基因。在这里，我们研究了 11 个 DNA 修复基因在多种细菌中的增减后果。利用细菌的同义多态性和一组 50 个系统发育上独立的对比，我们发现没有证据表明这 11 个基因的存在与否会影响整体的多样性水平或突变模式。使用系统发育广义线性方程也得出了类似的结论。看来，缺乏影响的原因可能是遗传背景和环境的变化掩盖了单个基因存在与否可能产生的任何影响。

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The Effect of the Presence and Absence of DNA Repair Genes on the Rate and Pattern of Mutation in Bacteria.

Bacteria lose and gain repair genes as they evolve. Here, we investigate the consequences of gain and loss of 11 DNA repair genes across a broad range of bacteria. Using synonymous polymorphisms from bacteria and a set of 50 phylogenetically independent contrasts, we find no evidence that the presence or absence of these 11 genes affects either the overall level of diversity or the pattern of mutation. Using phylogenetic generalized linear squares yields a similar conclusion. It seems likely that the lack of an effect is due to variation in the genetic background and the environment which obscures any effects that the presence or absence of individual genes might have.

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来源期刊

Genome Biology and Evolution EVOLUTIONARY BIOLOGY-GENETICS & HEREDITY

CiteScore

5.80

自引率

6.10%

发文量

169

审稿时长

1 months

期刊介绍： About the journal Genome Biology and Evolution (GBE) publishes leading original research at the interface between evolutionary biology and genomics. Papers considered for publication report novel evolutionary findings that concern natural genome diversity, population genomics, the structure, function, organisation and expression of genomes, comparative genomics, proteomics, and environmental genomic interactions. Major evolutionary insights from the fields of computational biology, structural biology, developmental biology, and cell biology are also considered, as are theoretical advances in the field of genome evolution. GBE’s scope embraces genome-wide evolutionary investigations at all taxonomic levels and for all forms of life — within populations or across domains. Its aims are to further the understanding of genomes in their evolutionary context and further the understanding of evolution from a genome-wide perspective.