The DOI matches its Crossref record; 112 of the 112 references it cites were found in a registry or an index.
Robustness and Evolvability
Open accessAbstract
Why isn’t random variation always deleterious? Are there factors that sometimes make adaptation easier? Biological systems are extraordinarily robust to perturbation by mutations, recombination, and the environment. It has been proposed that this robustness might make them more evolvable. Robustness to mutation allows genetic variation to accumulate in a cryptic state. Switching mechanisms known as evolutionary capacitors mean that the amount of heritable phenotypic variation available can be correlated to the degree of stress and hence to the novelty of the environment and remaining potential for adaptation. There have been two somewhat separate literatures relating robustness to evolvability. One has focused on molecular phenotypes and new mutations, the other on morphology and cryptic genetic variation. Here we review both literatures, and show that the true distinction is whether recombination rates are high or low. In both cases, the evidence supports the claim that robustness promotes evolvability.
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Cites
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Dynamic reconfiguration of human brain networks during learning
Bassett, D. S., Wymbs, N. F., Porter, M. A., Mucha, P. J., Carlson, J. M., & Grafton, S. T. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1018985108 · Cited by 1,705
Cryptic genetic variation: evolution's hidden substrate
Paaby, A. B., & Rockman, M. V. (2014) · Nature Reviews Genetics · doi:10.1038/nrg3688 · Cited by 500
Schlichting, C. D., & Wund, M. A. (2014) · Evolution · doi:10.1111/evo.12348 · Cited by 285
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Zitnik, M., Sosič, R., Feldman, M. W., & Leskovec, J. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1818013116 · Cited by 130
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Metadata
- Authors
- Masel, J., & Trotter, M. V.
- Venue
- Trends in Genetics
- Publisher
- Elsevier BV
- Published
- 2010-09
- Volume
- 26
- Issue
- 9
- Pages
- 406-414
- ISSN
- 0168-9525 (ISSN-L)
- OpenAlex
- W2006413392
- Cited by
- 291
- References
- 112
- FWCI
- 1.67
- Type
- journal article
- Language
- en
- Open access
- green
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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.
