交换代谢物的细胞经济学以可预测的方式改变微生物贸易伙伴的比率。

IF 3.9 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Martina Du, Jeremy M Chaćon, Heejoon Park, Campbell Putnam, Tomáš Gedeon, William R Harcombe, Ross P Carlson
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引用次数: 0

摘要

大多数微生物存在于相互作用的财团中,然而财团组装背后的原则,包括贸易伙伴结构,仍然需要破译,尽管它是理解、建立和控制财团的核心。本研究测试了一个基于细胞经济学的假设,该假设提出,从事义务代谢物交换的财团将以与交换相关的代谢负担可预测地共享的比率聚集。代谢负荷是用ATP当量来量化的,ATP当量是指如果交换的代谢物被保留并分解为细胞能量,可以产生的高能ATP磷酸酐键的数量。该假设通过设计的丙酮酸和l-精氨酸强制交换的大肠杆菌共培养物进行了验证。代谢产物交换的负担是通过改变O2的可用性(从而改变底物能量的生物利用度)和ATP合成酶的失活(从而阻止氧化磷酸化)来控制的。三种合成共培养物在作为扰动函数的预测应变比下组装。尽管交换的代谢物在通量大小(300多倍)、分子量(174 g mol-1 vs 88 g mol-1)、酶需求(8种特殊酶vs无)和生物能密度(27.5 vs 9个ATP分子-1)方面存在很大差异,但菌株比率代表了贸易伙伴之间的等效代谢负担。利用氧可利用性和细胞表型,应变比可合理改变20倍。代谢负担理论被应用于另外七个已发表的共培养物,并被发现能准确预测贸易伙伴比率。在atp当量的基础上定量交换代谢物提供了解释自然联合体的理论和控制生物过程联合体的工具箱。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cellular Economics of Exchanged Metabolites Alter Ratios of Microbial Trading Partners in a Predictable Manner.

Most microorganisms exist in interacting consortia, yet the principles behind consortia assembly, including trading partner structure, still require deciphering, despite being central to understanding, building, and controlling consortia. This study tests a cellular-economy-based hypothesis that proposes consortia engaged in obligate metabolite exchange will assemble at ratios where the metabolic burden associated with the exchanges is predictably shared. The metabolic burden was quantified using ATP equivalents, the quantity of high-energy ATP phosphoanhydride bonds that could be produced if the exchanged metabolites were instead retained and catabolized for cellular energy. The hypothesis was tested using Escherichia coli cocultures engineered for obligatory exchange of pyruvate and l-arginine. The burden of metabolite exchange was manipulated by changing the availability of O2, which altered the bioavailability of substrate energy, and by deactivating the ATP synthase enzyme, which prevented oxidative phosphorylation. Three synthetic cocultures assembled at predicted strain ratios as a function of perturbations. The strain ratios represented an equivalent metabolic burden between the trading partners even though the exchanged metabolites varied substantially in flux magnitude (300+ fold), molecular weight (174 vs 88 g mol-1), enzyme requirements (8 specialized enzymes vs none), and biological energy density (27.5 vs 9 ATP molecule-1). The strain ratios could be rationally altered up to 20-fold using O2 availability and cellular phenotype. The metabolic burden theory was applied to seven additional published cocultures and was found to accurately predict trading partner ratios. Quantifying exchanged metabolites on an ATP-equivalent basis provides a theory for interpreting natural consortia and a toolbox for controlling bioprocess consortia.

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来源期刊
CiteScore
8.00
自引率
10.60%
发文量
380
审稿时长
6-12 weeks
期刊介绍: The journal is particularly interested in studies on the design and synthesis of new genetic circuits and gene products; computational methods in the design of systems; and integrative applied approaches to understanding disease and metabolism. Topics may include, but are not limited to: Design and optimization of genetic systems Genetic circuit design and their principles for their organization into programs Computational methods to aid the design of genetic systems Experimental methods to quantify genetic parts, circuits, and metabolic fluxes Genetic parts libraries: their creation, analysis, and ontological representation Protein engineering including computational design Metabolic engineering and cellular manufacturing, including biomass conversion Natural product access, engineering, and production Creative and innovative applications of cellular programming Medical applications, tissue engineering, and the programming of therapeutic cells Minimal cell design and construction Genomics and genome replacement strategies Viral engineering Automated and robotic assembly platforms for synthetic biology DNA synthesis methodologies Metagenomics and synthetic metagenomic analysis Bioinformatics applied to gene discovery, chemoinformatics, and pathway construction Gene optimization Methods for genome-scale measurements of transcription and metabolomics Systems biology and methods to integrate multiple data sources in vitro and cell-free synthetic biology and molecular programming Nucleic acid engineering.
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