phb结合转录调控因子AniA (PhaR)介导的phb驱动代谢适应的系统级洞察。

IF 4.6 2区 生物学 Q1 MICROBIOLOGY
mSystems Pub Date : 2025-09-22 DOI:10.1128/msystems.00760-25
Antonio Lagares, Elizaveta Krol, Tina Jühling, Timo Glatter, Anke Becker
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引用次数: 0

摘要

聚(3-羟基丁酸酯)(PHB)是一种碳和能量储存聚合物,其在细菌中与过量碳的营养不平衡下积累是常见的。PhaR是一种保守的转录调节因子,在一些物种中与PHB颗粒相关。尽管其在调节PHB储存和代谢中的作用已经在细菌系统发育中得到了广泛的研究,但缺乏对PhaR作为代谢传感器和调节剂的双重功能的系统水平的看法。在此,我们将积累PHB的α-变形菌根结核共生Sinorhizobium meliloti在自由生活状态下的多种突变背景(缺乏PhaR [AniA]和/或PHB合成)的共表达网络分析与蛋白质组分析相结合。通过以规则为中心的计算多步搜索dna结合位点基序,结合PhaR- dna结合和启动子报告子测定,确定了PhaR的直接调控靶点,从而丰富了这一分析。我们证实,积累的PHB隔离PhaR,从而缓解phasin和PHB解聚合酶基因抑制以控制细胞PHB水平的模式也适用于S. meliloti,并表明PhaR介导的调节也发生在共生状态下。我们对phb介导的PhaR滴定对细胞功能的影响进行了综合分析,发现胞外多糖的产生、中心碳代谢(pdh和bkd)、糖异生(ppdK和pyc)、进入TCA循环(gltA)和enner - doudoroff (ED)通路的初始步骤(zwf、pgl和edd)是主要的调控靶点,以及功能未知的靶基因。我们的发现强调了PhaR在协调碳代谢中的关键作用。聚(3-羟基丁酸酯)(PHB)是一种碳和能量储存聚合物,通常与营养有限条件下细菌的存活有关。其积累反映了细胞代谢平衡,转录调节因子PhaR已被证明与PHB结合并控制其代谢相关基因的表达。与此同时,PhaR已经涉及到影响全球基因表达的更广泛的调节作用,尽管这种功能与其感知PHB的能力之间的联系仍未得到解决。在本研究中,我们使用模式豆科共生体Sinorhizobium meliloti来弥补这一差距。我们证明了PhaR在PHB积累信号的代谢状态下调节全局基因表达。我们的研究结果强调PHB不仅是一种储存化合物,而且是代谢状态的关键整合者,将营养可用性与协调的转录反应联系起来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A systems-level insight into PHB-driven metabolic adaptation orchestrated by the PHB-binding transcriptional regulator AniA (PhaR).

Poly(3-hydroxybutyrate) (PHB) is a carbon and energy storage polymer, whose accumulation under nutrient imbalances with excess carbon is common in bacteria. PhaR is a conserved transcriptional regulator that associates with PHB granules in several species. Although its role in modulating PHB storage and metabolism has been extensively studied across the bacterial phylogeny, a systems-level view of PhaR's dual function as a metabolic sensor and regulator is lacking. Here, we integrated co-expression network analysis with proteome profiling across multiple mutant backgrounds (lack of PhaR [AniA] and/or PHB synthesis) in the free-living state of the PHB-accumulating α-proteobacterial root nodule symbiont Sinorhizobium meliloti. This analysis was enriched by identifying direct regulatory targets of PhaR through a regulon-centric computational multistep search for DNA-binding site motifs combined with PhaR-DNA-binding and promoter-reporter assays. We confirmed that the model of accumulated PHB sequestering PhaR, and thereby relieving phasin and PHB depolymerase gene repression to control cellular PHB levels, also applies to S. meliloti and showed that PhaR-mediated regulation also occurs in the symbiotic state. Our integrated analyses of the impact of PHB-mediated PhaR titration on cellular functions revealed exopolysaccharide production as well as central carbon metabolism (pdh and bkd), gluconeogenesis (ppdK and pyc), entry into the TCA cycle (gltA), and the initial steps of the Entner-Doudoroff (ED) pathway (zwf, pgl, and edd) as major regulatory targets, along with target genes of yet unknown function. Our findings highlight a pivotal role for PhaR in orchestrating carbon metabolism.IMPORTANCEPoly(3-hydroxybutyrate) (PHB) is a carbon and energy storage polymer typically associated with bacterial survival under nutrient-limited conditions. Its accumulation reflects the cellular metabolic balance, and the transcriptional regulator PhaR has been shown to bind PHB and control the expression of genes involved in its metabolism. At the same time, PhaR has been implicated in broader regulatory roles affecting global gene expression, although the connection between this function and its ability to sense PHB has remained unresolved. In this study, we used the model legume symbiont Sinorhizobium meliloti to bridge this gap. We demonstrated that PhaR modulates global gene expression in response to the metabolic state signaled by PHB accumulation. Our findings highlight PHB not only as a storage compound, but also as a key integrator of metabolic status that links nutrient availability to coordinated transcriptional responses.

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来源期刊
mSystems
mSystems Biochemistry, Genetics and Molecular Biology-Biochemistry
CiteScore
10.50
自引率
3.10%
发文量
308
审稿时长
13 weeks
期刊介绍: mSystems™ will publish preeminent work that stems from applying technologies for high-throughput analyses to achieve insights into the metabolic and regulatory systems at the scale of both the single cell and microbial communities. The scope of mSystems™ encompasses all important biological and biochemical findings drawn from analyses of large data sets, as well as new computational approaches for deriving these insights. mSystems™ will welcome submissions from researchers who focus on the microbiome, genomics, metagenomics, transcriptomics, metabolomics, proteomics, glycomics, bioinformatics, and computational microbiology. mSystems™ will provide streamlined decisions, while carrying on ASM''s tradition of rigorous peer review.
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