Natural Selection on Functional Modules: A Genome-Wide Analysis
Author Information
Author(s): Serra François, Arbiza Leonardo, Dopazo Joaquín, Dopazo Hernán
Primary Institution: Centro de Investigación Príncipe Felipe, Valencia, Spain
Hypothesis
Can the Gene-Set Selection Analysis (GSSA) detect evidence of natural selection on functional modules in genomes?
Conclusion
The GSSA method identifies significant evolutionary rate changes in functional modules, suggesting that natural selection acts on groups of functionally related genes.
Supporting Evidence
- GSSA identified hundreds of functional modules with significant associations to evolutionary rates.
- Functional modules with high evolutionary rates were previously identified as under positive selection.
- GSSA can detect lineage-specific evolutionary rate changes.
- Many positively selected genes were found within biological functions under strong purifying selection.
Takeaway
Scientists studied how groups of genes change over time to see if they are affected by natural selection. They found that some groups evolve faster than others.
Methodology
The study used Gene-Set Selection Analysis (GSSA) to analyze evolutionary rates of genes in mammals and Drosophila species.
Potential Biases
Potential biases in gene selection and functional module classification could affect results.
Limitations
The study may not account for all evolutionary factors influencing gene selection.
Participant Demographics
The study analyzed genes from various mammal and Drosophila species.
Statistical Information
P-Value
p<0.05
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website