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Cited by 591

The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.

Long-Term Dynamics of Adaptation in Asexual Populations

Wiser, Michael J., Ribeck, Noah, Lenski, Richard E.·2013·Science

Abstract

The Fit Get Fitter: Advances in modern biology have allowed us to measure evolutionary fitness and estimate the rate of fixation of beneficial mutations. Drawing on the Long-Term Evolution Experiment, studying the evolution of Escherichia coli in a constant environment, Wiser et al. (p. 1364 , published online 14 November) demonstrate that even after 50,000 generations over 20 years, gains in fitness show no evidence of leveling off. Instead, fitness is following a power-law relationship that is dependent on epistasis and clonal interference.

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Metadata

Authors
Wiser, M. J., Ribeck, N., & Lenski, R. E.
Venue
Science
Published
2013-12-13
Volume
342
Issue
6164
Pages
1364-1367
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2016687536
Cited by
591
References
39
FWCI
27.92
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Long-Term Dynamics of Adaptation in Asexual Populations. https://app.cochat.ai/papers/10.1126/science.1243357
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Wiser, M. J., Ribeck, N., & Lenski, R. E. (2013). Long-Term Dynamics of Adaptation in Asexual Populations. Science. https://doi.org/10.1126/science.1243357

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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.