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WIREs Mechanisms of Disease
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WIREs Mechanisms of Disease
Article . 2020 . Peer-reviewed
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Microbial metabolic noise

Authors: Andreas E. Vasdekis; Abhyudai Singh;

Microbial metabolic noise

Abstract

AbstractFrom the time a cell was first placed under the microscope, it became apparent that identifying two clonal cells that “look” identical is extremely challenging. Since then, cell‐to‐cell differences in shape, size, and protein content have been carefully examined, informing us of the ultimate limits that hinder two cells from occupying an identical phenotypic state. Here, we present recent experimental and computational evidence that similar limits emerge also in cellular metabolism. These limits pertain to stochastic metabolic dynamics and, thus, cell‐to‐cell metabolic variability, including the resulting adapting benefits. We review these phenomena with a focus on microbial metabolism and conclude with a brief outlook on the potential relationship between metabolic noise and adaptive evolution.This article is categorized under: Metabolic Diseases > Computational Models Metabolic Diseases > Biomedical Engineering

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Keywords

Biochemical Phenomena, Proteins

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    17
    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
17
Top 10%
Average
Top 10%
hybrid