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甲醛反应蛋白TtmR和EfgA揭示了在……中甲醛抗性与向甲基营养高效转变之间的权衡。

Formaldehyde-responsive proteins, TtmR and EfgA, reveal a tradeoff between formaldehyde resistance and efficient transition to methylotrophy in .

作者信息

Bazurto Jannell V, Bruger Eric L, Lee Jessica A, Lambert Leah B, Marx Christopher J

机构信息

Department of Biological Sciences, University of Idaho, Moscow, ID.

Insititute for Modeling Collaboration and Innovation, University of Idaho, Moscow, ID.

出版信息

J Bacteriol. 2021 May 1;203(9). doi: 10.1128/JB.00589-20. Epub 2021 Feb 22.

Abstract

For bacteria to thrive they must be well-adapted to their environmental niche, which may involve specialized metabolism, timely adaptation to shifting environments, and/or the ability to mitigate numerous stressors. These attributes are highly dependent on cellular machinery that can sense both the external and intracellular environment. is an extensively studied facultative methylotroph, an organism that can use single-carbon compounds as their sole source of carbon and energy. In methylotrophic metabolism, carbon flows through formaldehyde as a central metabolite; thus, formaldehyde is both an obligate metabolite and a metabolic stressor. Via the one-carbon dissimilation pathway, free formaldehyde is rapidly incorporated by formaldehyde activating enzyme (Fae), which is constitutively expressed at high levels. In the presence of elevated formaldehyde levels, a recently identified formaldehyde-sensing protein, EfgA, induces growth arrest. Herein, we describe TtmR, a formaldehyde-responsive transcription factor that, like EfgA, modulates formaldehyde resistance. TtmR is a member of the MarR family of transcription factors and impacts the expression of 75 genes distributed throughout the genome, many of which are transcription factors and/or involved in stress response, including Notably, when is adapting its metabolic network during the transition to methylotrophy, and mutants experience an imbalance in formaldehyde production and a notable growth delay. Although methylotrophy necessitates that maintain a relatively high level of formaldehyde tolerance, this work reveals a tradeoff between formaldehyde resistance and the efficient transition to methylotrophic growth and suggests that TtmR and EfgA play a pivotal role in maintaining this balance. All organisms produce formaldehyde as a byproduct of enzymatic reactions and as a degradation product of metabolites. The ubiquity of formaldehyde in cellular biology suggests all organisms have evolved mechanisms of mitigating formaldehyde toxicity. However, formaldehyde-sensing is poorly described and prevention of formaldehyde-induced damage is primarily understood in the context of detoxification. Here we use an organism that is regularly exposed to elevated intracellular formaldehyde concentrations through high-flux one-carbon utilization pathways to gain insight into the role of formaldehyde-responsive proteins that modulate formaldehyde resistance. Using a combination of genetic and transcriptomic analyses, we identify dozens of genes putatively involved in formaldehyde resistance, determined the relationship between two different formaldehyde response systems and identified an inherent tradeoff between formaldehyde resistance and optimal transition to methylotrophic metabolism.

摘要

细菌若要茁壮成长,就必须很好地适应其生态位,这可能涉及特殊的新陈代谢、及时适应不断变化的环境,以及/或者减轻多种压力源的能力。这些特性高度依赖于能够感知外部和内部环境的细胞机制。[具体细菌名称]是一种经过广泛研究的兼性甲基营养菌,这种生物体能够利用单碳化合物作为其唯一的碳源和能源。在甲基营养代谢中,碳通过甲醛作为中心代谢物流动;因此,甲醛既是一种必需的代谢物,也是一种代谢压力源。通过单碳异化途径,游离甲醛被甲醛激活酶(Fae)迅速结合,该酶以高水平组成性表达。在甲醛水平升高的情况下,一种最近鉴定出的甲醛感应蛋白EfgA会诱导生长停滞。在此,我们描述了TtmR,一种甲醛响应转录因子,它与EfgA一样,调节甲醛抗性。TtmR是转录因子MarR家族的成员,影响分布在整个基因组中的75个基因的表达,其中许多是转录因子和/或参与应激反应,包括[具体基因名称]。值得注意的是,当[具体细菌名称]在向甲基营养转变过程中调整其代谢网络时,[具体基因名称]突变体在甲醛产生方面出现失衡,并出现明显的生长延迟。尽管甲基营养要求[具体细菌名称]维持相对较高水平的甲醛耐受性,但这项工作揭示了甲醛抗性与向甲基营养生长的有效转变之间的权衡,并表明TtmR和EfgA在维持这种平衡中起关键作用。所有生物体都会产生甲醛,作为酶促反应的副产物和代谢物的降解产物。甲醛在细胞生物学中的普遍性表明,所有生物体都进化出了减轻甲醛毒性的机制。然而,对甲醛感应的描述很少,并且甲醛诱导损伤的预防主要是在解毒的背景下理解的。在这里,我们使用一种通过高通量单碳利用途径经常暴露于细胞内甲醛浓度升高的生物体,以深入了解调节甲醛抗性的甲醛响应蛋白的作用。通过结合遗传和转录组分析,我们鉴定了数十个可能参与甲醛抗性的基因,确定了两种不同甲醛响应系统之间的关系,并确定了甲醛抗性与向甲基营养代谢的最佳转变之间的内在权衡。

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