Spatial self-organization of metabolism in microbial systems: A matter of enzymes and chemicals.

IF 9 1区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Alma Dal Co, Martin Ackermann, Simon van Vliet
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引用次数: 2

Abstract

Most bacteria live in dense, spatially structured communities such as biofilms. The high density allows cells to alter the local microenvironment, whereas the limited mobility can cause species to become spatially organized. Together, these factors can spatially organize metabolic processes within microbial communities so that cells in different locations perform different metabolic reactions. The overall metabolic activity of a community depends both on how metabolic reactions are arranged in space and on how they are coupled, i.e., how cells in different regions exchange metabolites. Here, we review mechanisms that lead to the spatial organization of metabolic processes in microbial systems. We discuss factors that determine the length scales over which metabolic activities are arranged in space and highlight how the spatial organization of metabolic processes affects the ecology and evolution of microbial communities. Finally, we define key open questions that we believe should be the main focus of future research.

微生物系统中新陈代谢的空间自组织:酶和化学物质的问题。
大多数细菌生活在密集的、空间结构的群落中,如生物膜。高密度允许细胞改变局部微环境,而有限的流动性可以导致物种成为空间组织。总之,这些因素可以在空间上组织微生物群落内的代谢过程,使不同位置的细胞进行不同的代谢反应。一个群落的整体代谢活动既取决于代谢反应在空间上的排列方式,也取决于它们如何耦合,即不同区域的细胞如何交换代谢物。在这里,我们回顾了导致微生物系统中代谢过程空间组织的机制。我们讨论了决定代谢活动在空间上安排的长度尺度的因素,并强调了代谢过程的空间组织如何影响微生物群落的生态和进化。最后,我们定义了我们认为应该成为未来研究重点的关键开放性问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Cell Systems
Cell Systems Medicine-Pathology and Forensic Medicine
CiteScore
16.50
自引率
1.10%
发文量
84
审稿时长
42 days
期刊介绍: In 2015, Cell Systems was founded as a platform within Cell Press to showcase innovative research in systems biology. Our primary goal is to investigate complex biological phenomena that cannot be simply explained by basic mathematical principles. While the physical sciences have long successfully tackled such challenges, we have discovered that our most impactful publications often employ quantitative, inference-based methodologies borrowed from the fields of physics, engineering, mathematics, and computer science. We are committed to providing a home for elegant research that addresses fundamental questions in systems biology.
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