The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Adaptation in protein fitness landscapes is facilitated by indirect paths
Open accessAbstract
The structure of fitness landscapes is critical for understanding adaptive protein evolution. Previous empirical studies on fitness landscapes were confined to either the neighborhood around the wild type sequence, involving mostly single and double mutants, or a combinatorially complete subgraph involving only two amino acids at each site. In reality, the dimensionality of protein sequence space is higher (20L) and there may be higher-order interactions among more than two sites. Here we experimentally characterized the fitness landscape of four sites in protein GB1, containing 204 = 160,000 variants. We found that while reciprocal sign epistasis blocked many direct paths of adaptation, such evolutionary traps could be circumvented by indirect paths through genotype space involving gain and subsequent loss of mutations. These indirect paths alleviate the constraint on adaptive protein evolution, suggesting that the heretofore neglected dimensions of sequence space may change our views on how proteins evolve.
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Cites
Empirical fitness landscapes and the predictability of evolution
de Visser, J. A. G. M., & Krug, J. (2014) · Nature Reviews Genetics · doi:10.1038/nrg3744 · Cited by 715
High-resolution mapping of protein sequence-function relationships
Fowler, D. M., Araya, C. L., Fleishman, S. J., Kellogg, E. H., Stephany, J. J., Baker, D., & Fields, S. (2010) · Nature Methods · doi:10.1038/nmeth.1492 · Cited by 516
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A statistical framework for analyzing deep mutational scanning data
Rubin, A. F., Gelman, H., Lucas, N., Bajjalieh, S. M., Papenfuss, A. T., Speed, T. P., & Fowler, D. M. (2017) · Genome Biology · doi:10.1186/s13059-017-1272-5 · Cited by 262
Fine-tuning protein language models boosts predictions across diverse tasks
Schmirler, R., Heinzinger, M., & Rost, B. (2024) · Nature Communications · doi:10.1038/s41467-024-51844-2 · Cited by 229
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Metadata
- Authors
- Wu, N. C., Dai, L., Olson, C. A., Lloyd-Smith, J. O., & Sun, R.
- Venue
- eLife
- Publisher
- eLife Sciences Publications, Ltd
- Published
- 2016-07-08
- Volume
- 5
- ISSN
- 2050-084X (ISSN-L)
- OpenAlex
- W2483469645
- Cited by
- 278
- References
- 2
- FWCI
- 11.74
- Type
- journal article
- Language
- en
- Open access
- gold
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- Wu, N. C., Dai, L., Olson, C. A., Lloyd-Smith, J. O., & Sun, R. (2016). Adaptation in protein fitness landscapes is facilitated by indirect paths. eLife. https://doi.org/10.7554/elife.16965
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