Microbial experimental evolution
Abstract
Microbes have been widely used in experimental evolutionary studies because they possess a variety of valuable traits that facilitate large-scale experimentation. Many replicated populations can be cultured in the laboratory simultaneously along with appropriate controls. Short generation times and large population sizes make microbes ideal experimental subjects, ensuring that many spontaneous mutations occur every generation and that adaptive variants can spread rapidly through a population. Another highly useful experimental feature is the ability to preserve and store ancestral and evolutionarily derived clones. These can be revived in parallel to allow the direct measurement of the competitive fitness of a descendant compared with its ancestor. The extent of adaptation can thereby be measured quantitatively and compared statistically by direct competition among derived groups and with the ancestor. Thus, fitness and adaptation need not be matters of qualitative speculation, but are quantitatively measurable variables in these systems. Replication allows the quantification of heterogeneity in responses to imposed selection and thereby statistical distinction between changes that are systematic responses to the selective regimen and those that are specific to individual populations.
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Computational models are well-suited to study evolutionary change on the population level, whereas in silico evolution of artificial cells that include simulated regulatory networks is currently very limited.
“Computational models are well-suited to study evolutionary change on the population level, whereas in silico evolution of artificial cells that include simulated regulatory networks are currently very limited [21].”
From Adaptive laboratory evolution—Principles and applications for biotechnology (2013) · cites this paper as [21]
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- Authors
- Bennett, A. F., & Hughes, B. S.
- Affiliations
- University of California, Irvine (US)
- Venue
- American Journal of Physiology-Regulatory, Integrative and Comparative Physiology
- Publisher
- American Physiological Society
- Published
- 2009-07
- Volume
- 297
- Issue
- 1
- Pages
- R17-R25
- ISSN
- 0363-6119 (ISSN-L)
- 1522-1490
- OpenAlex
- W2148332466
- Cited by
- 58
- References
- 57
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- FWCI
- 0.13
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- American Journal of Physiology-Regulatory, Integrative and Comparative Physiology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
- Social Sciences › Cultural Studies › Language and cultural evolution
- Social Sciences › Arts and Humanities › History and Philosophy of Science › Philosophy and History of Science
- Keywords
- experimental evolution, population genetics, fitness measurement, adaptation, competitive fitness, parallel evolution, replication, spontaneous mutation
- MeSH terms
- Adaptation, Physiological, Environment, Gene Expression Regulation, Genetics, Microbial, Genotype, Hydrogen-Ion Concentration, Microbiological Techniques, Mutation, Phenotype, Population Density, Reproduction, Selection, Genetic, Time Factors, Reproducibility of Results, Cryopreservation, Evolution, Molecular, Biomedical Research
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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