Why highly expressed proteins evolve slowly
California Institute of Technology · Keck Graduate Institute
Abstract
Much recent work has explored molecular and population-genetic constraints on the rate of protein sequence evolution. The best predictor of evolutionary rate is expression level, for reasons that have remained unexplained. Here, we hypothesize that selection to reduce the burden of protein misfolding will favor protein sequences with increased robustness to translational missense errors. Pressure for translational robustness increases with expression level and constrains sequence evolution. Using several sequenced yeast genomes, global expression and protein abundance data, and sets of paralogs traceable to an ancient whole-genome duplication in yeast, we rule out several confounding effects and show that…
Citation impact
- FWCI
- 14.15
- Percentile
- 100%
- References
- 52
Authors
5- DAD. Allan DrummondCorresponding
California Institute of Technology, Keck Graduate Institute
- JDJesse D. Bloom
California Institute of Technology, Keck Graduate Institute
- CAChristoph Adami
California Institute of Technology, Keck Graduate Institute
- COClaus O. Wilke
California Institute of Technology, Keck Graduate Institute
- FHFrances H. Arnold
California Institute of Technology, Keck Graduate Institute
Topics & keywords
- Robustness (evolution)
- Biology
- Saccharomyces cerevisiae
- Genome
- Genetics
- Protein evolution
- Evolvability
- Computational biology