紫罗兰素合成菌群分工潜力的研究。

IF 3.9 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
ACS Synthetic Biology Pub Date : 2025-07-18 Epub Date: 2025-06-17 DOI:10.1021/acssynbio.5c00120
Harman Mehta, Jose Jimenez, Rodrigo Ledesma-Amaro, Guy-Bart Stan
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引用次数: 0

摘要

随着合成生物学和代谢工程的进步,微生物现在可以被设计成执行越来越复杂的功能,这可能受到单个细胞中可用资源的限制。引入异源代谢途径会带来由于细胞转录和翻译机制竞争而产生的遗传负担,以及由于代谢通量从天然代谢途径转向而产生的代谢负担。合成微生物群落的劳动分工为提高生物生产中的代谢效率和恢复力提供了一条有前途的途径。通过在多个亚群中分布复杂的代谢途径,减少了单个细胞的资源竞争和代谢负担,从而有可能更有效地生产目标化合物。紫罗兰色素是一种具有抗肿瘤特性的高价值色素,由于其复杂的生物生产途径,给宿主细胞带来了巨大的代谢负担,因此体现了这一挑战。在这项研究中,我们通过在大肠杆菌合成群落的两个亚群之间分裂紫罗兰素的生物生产途径来研究劳动分工对紫罗兰素生产的好处。我们测试了几种途径分裂策略,并报告将途径分裂为表达VioABE和VioDC的两个亚群,最终组成为60:40,与单一栽培相比,紫罗兰素产量增加了2.5倍。我们证明,当两个亚群表现出相似的代谢负担水平时,共培养优于单一培养,从而导致相当的生长速度,当两个亚群都以足够高的比例存在时。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigating the Potential of Division of Labor in Synthetic Bacterial Communities for the Production of Violacein.

With advancements in synthetic biology and metabolic engineering, microorganisms can now be engineered to perform increasingly complex functions, which may be limited by the resources available in individual cells. Introducing heterologous metabolic pathways introduces both genetic burden due to the competition for cellular transcription and translational machinery, as well as metabolic burden due to the redirection of metabolic flux from the native metabolic pathways. Division of labor in synthetic microbial communities offers a promising approach to enhance metabolic efficiency and resilience in bioproduction. By distributing complex metabolic pathways across multiple subpopulations, the resource competition and metabolic burden imposed on an individual cell are reduced, potentially enabling more efficient production of target compounds. Violacein is a high-value pigment with antitumor properties that exemplifies such a challenge due to its complex bioproduction pathway, imposing a significant metabolic burden on host cells. In this study, we investigated the benefits of division of labor for violacein production by splitting the violacein bioproduction pathway between two subpopulations of Escherichia coli-based synthetic communities. We tested several pathway splitting strategies and reported that splitting the pathway into two subpopulations expressing VioABE and VioDC at a final composition of 60:40 yields a 2.5-fold increase in violacein production as compared to a monoculture. We demonstrated that the coculture outperforms the monoculture when both subpopulations exhibit similar metabolic burden levels, resulting in comparable growth rates, and when both subpopulations are present in sufficiently high proportions.

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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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