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首页> 外文期刊>Journal of evolutionary biology >Weak phylogenetic signal in physiological traits of methane-oxidizing bacteria
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Weak phylogenetic signal in physiological traits of methane-oxidizing bacteria

机译:甲烷氧化细菌生理特性中的弱系统发生信号

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摘要

The presence of phylogenetic signal is assumed to be ubiquitous. However, for microorganisms, this may not be true given that they display high physiological flexibility and have fast regeneration. This may result in fundamentally different patterns of resemblance, that is, in variable strength of phylogenetic signal. However, in microbiological inferences, trait similarities and therewith microbial interactions with its environment are mostly assumed to follow evolutionary relatedness. Here, we tested whether indeed a straightforward relationship between relatedness and physiological traits exists for aerobic methane-oxidizing bacteria (MOB). We generated a comprehensive data set that included 30 MOB strains with quantitative physiological trait information. Phylogenetic trees were built from the 16S rRNA gene, a common phylogenetic marker, and the pmoA gene which encodes a subunit of the key enzyme involved in the first step of methane oxidation. We used a Blomberg's K from comparative biology to quantify the strength of phylogenetic signal of physiological traits. Phylogenetic signal was strongest for physiological traits associated with optimal growth pH and temperature indicating that adaptations to habitat are very strongly conserved in MOB. However, those physiological traits that are associated with kinetics of methane oxidation had only weak phylogenetic signals and were more pronounced with the pmoA than with the 16S rRNA gene phylogeny. In conclusion, our results give evidence that approaches based solely on taxonomical information will not yield further advancement on microbial eco-evolutionary interactions with its environment. This is a novel insight on the connection between function and phylogeny within microbes and adds new understanding on the evolution of physiological traits across microbes, plants and animals.
机译:系统发生信号的存在被认为是普遍存在的。但是,对于微生物来说,鉴于它们显示出很高的生理柔韧性并具有快速的再生能力,因此情况可能并非如此。这可能会导致根本不同的相似模式,即导致系统发生信号强度发生变化。然而,在微生物学推论中,大多假定性状相似性以及与其与环境之间的微生物相互作用遵循进化相关性。在这里,我们测试了好氧甲烷氧化细菌(MOB)是否确实存在相关性和生理特性之间的直接关系。我们生成了包括30个具有定量生理特征信息的MOB菌株的综合数据集。系统发育树是由16S rRNA基因(一种常见的系统发育标记)和pmoA基因构建而成的,该基因编码参与甲烷氧化第一步的关键酶的亚基。我们使用来自比较生物学的布隆伯格氏K来量化生理特征的系统发生信号的强度。系统发育信号对于与最佳生长pH和温度相关的生理性状最强,表明在MOB中对栖息地的适应性非常强。但是,那些与甲烷氧化动力学相关的生理特征仅具有较弱的系统发生信号,与16S rRNA基因系统发育相比,pmoA更为明显。总之,我们的结果提供了证据,证明仅基于生物分类信息的方法不会在微生物与环境的生态进化相互作用方面产生进一步的进步。这是对微生物内部功能与系统发育之间联系的一种新颖见解,并增加了对微生物,植物和动物的生理特征演变的新认识。

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