The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
Bacterial Persistence
Abstract
The persistence phenotype is an epigenetic trait exhibited by a subpopulation of bacteria, characterized by slow growth coupled with an ability to survive antibiotic treatment. The phenotype is acquired via a spontaneous, reversible switch between normal and persister cells. These observations suggest that clonal bacterial populations may use persister cells, whose slow division rate under growth conditions leads to lower population fitness, as an “insurance policy” against antibiotic encounters. We present a model of Escherichia coli persistence, and using experimentally derived parameters for both wild type and a mutant strain (hipQ) with markedly different switching rates, we show how fitness loss due to slow persister growth pays off as a risk-reducing strategy. We demonstrate that wild-type persistence is suited for environments in which antibiotic stress is a rare event. The optimal rate of switching between normal and persister cells is found to depend strongly on the frequency of environmental changes and only weakly on the selective pressures of any given environment. In contrast to typical examples of adaptations to features of a single environment, persistence appears to constitute an adaptation that is tuned to the distribution of environmental change.
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Citations
Cites
Exact stochastic simulation of coupled chemical reactions
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Bacterial Persistence as a Phenotypic Switch
Balaban, N. Q., Merrin, J., Chait, R., Kowalik, L., & Leibler, S. (2004) · Science · doi:10.1126/science.1099390 · Cited by 2,952 · cited 5×
“An additional complication stems from the observation in Balaban et al. (2004) that there cases where there are only two possible environments, corresponding to the presence or absence of antibiotic.are at least two types of persistent cells.”
BackgroundMethodInfluentialSelf-citationResistance of Bacillus Endospores to Extreme Terrestrial and Extraterrestrial Environments
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Persister cells and tolerance to antimicrobials
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Stochastic Gene Expression in Fluctuating Environments
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Evolving responsively: adaptive mutation
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Cited by
Physiological heterogeneity in biofilms
Stewart, P. S., & Franklin, M. J. (2008) · Nature Reviews Microbiology · doi:10.1038/nrmicro1838 · Cited by 2,327
Phenotypic Diversity, Population Growth, and Information in Fluctuating Environments
Kussell, E., & Leibler, S. (2005) · Science · doi:10.1126/science.1114383 · Cited by 1,356
Self-citationWest, S. A., Diggle, S. P., Buckling, A., Gardner, A., & Griffin, A. S. (2007) · Annual Review of Ecology, Evolution, and Systematics · doi:10.1146/annurev.ecolsys.38.091206.095740 · Cited by 696
Optimization of lag time underlies antibiotic tolerance in evolved bacterial populations
Fridman, O., Goldberg, A., Ronin, I., Shoresh, N., & Balaban, N. Q. (2014) · Nature · doi:10.1038/nature13469 · Cited by 613
Self-citationDynamic Persistence of Antibiotic-Stressed Mycobacteria
Wakamoto, Y., Dhar, N., Chait, R., Schneider, K., Signorino-Gelo, F., Leibler, S., & McKinney, J. D. (2013) · Science · doi:10.1126/science.1229858 · Cited by 542
Self-citation
Metadata
- Authors
- Kussell, E., Kishony, R., Balaban, N. Q., & Leibler, S.
- Venue
- Genetics
- Publisher
- Oxford University Press (OUP)
- Published
- 2005-04-01
- Volume
- 169
- Issue
- 4
- Pages
- 1807-1814
- ISSN
- 0016-6731 (ISSN-L)
- 1943-2631
- OpenAlex
- W2127240867
- Cited by
- 584
- References
- 23
- FWCI
- 10.76
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
