Protein Coevolution and Isoexpression in Yeast
Author Information
Author(s): Laurence Ettwiller, Reiner A. Veitia
Primary Institution: CNRS UMR 7637, Ecole Supérieure de Physique et de Chimie Industrielles, Paris, France
Hypothesis
We expect to find a significant positive correlation between a measure of dispersion of expression and evolutionary rates of proteins involved in complexes.
Conclusion
Proteins in complexes tend to have closer expression levels and evolutionary rates than those from randomly grouped genes.
Supporting Evidence
- The mean expression and evolutionary rates of the complexes correlated strongly and significantly.
- The median dispersions of expression and evolutionary rates were smaller for real complexes than for random gene groups.
- A significant correlation was found between the standard deviations of expression and evolutionary rates for real complexes.
Takeaway
This study found that proteins that work together in yeast tend to have similar levels of expression and evolve at similar rates.
Methodology
The study analyzed 94 protein complexes and compared their expression and evolutionary rates using statistical measures.
Potential Biases
Potential biases in protein-protein interaction datasets could affect the results.
Limitations
The study may not account for all factors influencing protein evolution and expression.
Participant Demographics
Yeast (Saccharomyces cerevisiae) proteins were the focus of the study.
Statistical Information
P-Value
p < 10−20
Statistical Significance
p < 10−6
Digital Object Identifier (DOI)
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