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Cited by 261

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

ADAPTIVE MUTATION: The Uses of Adversity

Open access
Foster, Patricia L.·1993·Annual Review of Microbiology

Abstract

When populations of microorganisms are subjected to certain nonlethal selections, useful mutants arise among the nongrowing cells whereas useless mutants do not. This phenomenon, known as adaptive, directed, or selection-induced mutation, challenges the long-held belief that mutations only arise at random and without regard for utility. In recent years a growing number of studies have examined adaptive mutation in both bacteria and yeast. Although conflicts and controversies remain, the weight of the evidence indicates that adaptive mutation cannot be explained by trivial artifacts and that nondividing cells accumulate mutations in the absence of genomic replication. Because this process tends to produce only useful mutations, the cells appear to have a mechanism for preventing useless genetic changes from occurring or for eliminating them after they occur. The model that most readily explains the evidence is that cells under stress produce genetic variants continuously and at random, but these variants are immortalized as mutations only if they allow the cell to grow.

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Crossref · 10.1146/annurev.mi.47.100193.002343

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Metadata

Authors
Foster, P. L.
Venue
Annual Review of Microbiology
Published
1993-10
Volume
47
Issue
1
Pages
467-504
ISSN
  • 0066-4227 (ISSN-L)
  • 1545-3251
OpenAlex
W2177768878
Cited by
261
References
4
FWCI
11.73
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: ADAPTIVE MUTATION: The Uses of Adversity. https://app.cochat.ai/papers/10.1146/annurev.mi.47.100193.002343
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Foster, P. L. (1993). ADAPTIVE MUTATION: The Uses of Adversity. Annual Review of Microbiology. https://doi.org/10.1146/annurev.mi.47.100193.002343

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.