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Cited by 222

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

The physiology of growth arrest: uniting molecular and environmental microbiology

Open access
Bergkessel, Megan, Basta, David W., Newman, Dianne K.·2016·Nature Reviews Microbiology

Abstract

Most bacteria spend the majority of their time in prolonged states of very low metabolic activity and little or no growth, in which electron donors, electron acceptors and/or nutrients are limited, but cells are poised to undergo rapid division cycles when resources become available. These non-growing states are far less studied than other growth states, which leaves many questions regarding basic bacterial physiology unanswered. In this Review, we discuss findings from a small but diverse set of systems that have been used to investigate how growth-arrested bacteria adjust metabolism, regulate transcription and translation, and maintain their chromosomes. We highlight major questions that remain to be addressed, and suggest that progress in answering them will be aided by recent methodological advances and by dialectic between environmental and molecular microbiology perspectives.

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Crossref · 10.1038/nrmicro.2016.107

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Metadata

Authors
Bergkessel, M., Basta, D. W., & Newman, D. K.
Venue
Nature Reviews Microbiology
Published
2016-08-11
Volume
14
Issue
9
Pages
549-562
ISSN
  • 1740-1526 (ISSN-L)
  • 1740-1534
OpenAlex
W2512373005
Cited by
222
References
6
FWCI
2.69
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The physiology of growth arrest: uniting molecular and environmental microbiology. https://app.cochat.ai/papers/10.1038/nrmicro.2016.107
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Bergkessel, M., Basta, D. W., & Newman, D. K. (2016). The physiology of growth arrest: uniting molecular and environmental microbiology. Nature Reviews Microbiology. https://doi.org/10.1038/nrmicro.2016.107

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.