The DOI matches its Crossref record; 125 of the 125 references it cites were found in a registry or an index.
Causes of molecular convergence and parallelism in protein evolution
Open accessAbstract
To what extent is the convergent evolution of protein function attributable to convergent or parallel changes at the amino acid level? The mutations that contribute to adaptive protein evolution may represent a biased subset of all possible beneficial mutations owing to mutation bias and/or variation in the magnitude of deleterious pleiotropy. A key finding is that the fitness effects of amino acid mutations are often conditional on genetic background. This context dependence (epistasis) can reduce the probability of convergence and parallelism because it reduces the number of possible mutations that are unconditionally acceptable in divergent genetic backgrounds. Here, I review factors that influence the probability of replicated evolution at the molecular level.
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Cites
Maddison, W. P. (1997) · Systematic Biology · doi:10.1093/sysbio/46.3.523 · Cited by 3,021
Wonderful life: the Burgess Shale and the nature of history
(1990) · Choice Reviews Online · doi:10.5860/choice.27-3873 · Cited by 3,000
Relationships between gene trees and species trees.
(1988) · Molecular Biology and Evolution · doi:10.1093/oxfordjournals.molbev.a040517 · Cited by 1,622
Darwinian Evolution Can Follow Only Very Few Mutational Paths to Fitter Proteins
Weinreich, D. M., Delaney, N. F., DePristo, M. A., & Hartl, D. L. (2006) · Science · doi:10.1126/science.1123539 · Cited by 1,415
Protein stability promotes evolvability
Bloom, J. D., Labthavikul, S. T., Otey, C. R., & Arnold, F. H. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0510098103 · Cited by 1,211
Exploring protein fitness landscapes by directed evolution
Romero, P. A., & Arnold, F. H. (2009) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2805 · Cited by 1,161
The genetic theory of adaptation: a brief history
Orr, H. A. (2005) · Nature Reviews Genetics · doi:10.1038/nrg1523 · Cited by 1,130
Methods for the directed evolution of proteins
Packer, M. S., & Liu, D. R. (2015) · Nature Reviews Genetics · doi:10.1038/nrg3927 · Cited by 991
CONVERGENCE, ADAPTATION, AND CONSTRAINT
Losos, J. B. (2011) · Evolution · doi:10.1111/j.1558-5646.2011.01289.x · Cited by 985
THE POPULATION GENETICS OF ADAPTATION: THE DISTRIBUTION OF FACTORS FIXED DURING ADAPTIVE EVOLUTION
Orr, H. A. (1998) · Evolution · doi:10.1111/j.1558-5646.1998.tb01823.x · Cited by 893
Cited by
Autophagy-Independent Functions of the Autophagy Machinery
Galluzzi, L., & Green, D. R. (2019) · Cell · doi:10.1016/j.cell.2019.05.026 · Cited by 863
“From an evolutionary perspective, the convergence of multiple, biochemically unrelated functions into a single protein constitutes a valuable strategy for organisms to economize genetic and metabolic resources (Storz, 2016).”
BackgroundBolnick, D. I., Barrett, R. D. H., Oke, K. B., Rennison, D. J., & Stuart, Y. E. (2018) · Annual Review of Ecology, Evolution, and Systematics · doi:10.1146/annurev-ecolsys-110617-062240 · Cited by 328
Convergent regulatory evolution and loss of flight in paleognathous birds
Sackton, T. B., Grayson, P., Cloutier, A., Hu, Z., Liu, J. S., Wheeler, N. E., Gardner, P. P., Clarke, J. A., Baker, A. J., Clamp, M., et al. (2019) · Science · doi:10.1126/science.aat7244 · Cited by 291
Hemoglobin–oxygen affinity in high-altitude vertebrates: is there evidence for an adaptive trend?
Storz, J. F. (2016) · Journal of Experimental Biology · doi:10.1242/jeb.127134 · Cited by 136
Self-citationBayesian Detection of Convergent Rate Changes of Conserved Noncoding Elements on Phylogenetic Trees
Hu, Z., Sackton, T. B., Edwards, S. V., & Liu, J. S. (2019) · Molecular Biology and Evolution · doi:10.1093/molbev/msz049 · Cited by 69
Metadata
- Authors
- Storz, J. F.
- Venue
- Nature Reviews Genetics
- Published
- 2016-03-14
- Volume
- 17
- Issue
- 4
- Pages
- 239-250
- ISSN
- 1471-0056 (ISSN-L)
- 1471-0064
- OpenAlex
- W2294949682
- Cited by
- 316
- References
- 125
- FWCI
- 4.45
- Type
- journal article
- Language
- en
- Open access
- green
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