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合成群落中的自然选择凸显了[具体内容缺失]的作用,并暗示了替代甲醇脱氢酶在甲烷消耗中的不同作用。

Natural Selection in Synthetic Communities Highlights the Roles of and and Suggests Differential Roles for Alternative Methanol Dehydrogenases in Methane Consumption.

作者信息

Yu Zheng, Beck David A C, Chistoserdova Ludmila

机构信息

Department of Chemical Engineering, University of Washington, Seattle, WA, United States.

eScience Institute, University of Washington, Seattle, WA, United States.

出版信息

Front Microbiol. 2017 Dec 5;8:2392. doi: 10.3389/fmicb.2017.02392. eCollection 2017.

Abstract

We describe experiments that follow species dynamics and gene expression patterns in synthetic bacterial communities including species that compete for the single carbon substrate supplied, methane, and species unable to consume methane, which could only succeed through cooperative interactions. We demonstrate that these communities mostly select for two functional guilds, methanotrophs of the family and non-methanotrophic methylotrophs of the family , these taxonomic guilds outcompeting all other species included in the synthetic mix. The metatranscriptomics analysis uncovered that in both and , some of the most highly transcribed genes were the ones encoding methanol dehydrogenases (MDH). Remarkably, expression of alternative MDH genes ( versus ), previously shown to be subjects to the rare Earth element switch, was found to depend on environmental conditions such as nitrogen source and methane and O partial pressures, and also to be species-specific. Along with the genes, genes encoding divergent cytochromes were highly expressed in both and , suggesting their function in methanol metabolism, likely encoding proteins serving as electron acceptors from XoxF enzymes. The research presented tested a synthetic community model that is much simplified compared to natural communities consuming methane, but more complex than the previously utilized two-species model. The performance of this model identifies prominent species for future synthetic ecology experiments and highlights both advantages of this approach and the challenges that it presents.

摘要

我们描述了一系列实验,这些实验追踪了合成细菌群落中的物种动态和基因表达模式,该群落包括争夺所供应的单一碳底物甲烷的物种,以及无法消耗甲烷、只能通过合作相互作用才能成功的物种。我们证明,这些群落大多选择了两个功能类群,即 科的甲烷营养菌和 科的非甲烷营养甲基营养菌,这些分类类群胜过了合成混合物中包含的所有其他物种。宏转录组学分析发现,在 和 中,一些转录水平最高的基因是编码甲醇脱氢酶(MDH)的基因。值得注意的是,先前已证明会受到稀土元素转换影响的替代MDH基因( 与 )的表达,被发现取决于环境条件,如氮源、甲烷和氧气分压,并且也是物种特异性的。与 基因一起,编码不同细胞色素的基因在 和 中均高度表达,这表明它们在甲醇代谢中的功能,可能编码作为XoxF酶电子受体的蛋白质。所呈现的研究测试了一个合成群落模型,该模型与消耗甲烷的自然群落相比要简单得多,但比先前使用的双物种模型更复杂。该模型的性能为未来的合成生态学实验确定了突出的物种,并突出了这种方法的优点及其所带来的挑战。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2eea/5723320/c7d624777945/fmicb-08-02392-g001.jpg

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