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Published on: September 27, 2016
Weak selection on synonymous codons substantially inflates dN/dS estimates in bacteria.
Shakibur Rahman1, Sergei L Kosakovsky Pond2, Andrew Webb1
1Center for Computational Genetics and Genomics, Department of Biology, Temple University, Philadelphia, PA 19122.
Synonymous codon substitutions are not always neutral. A new multiclass model reveals that selection influences codon bias, suggesting traditional methods overestimate positive selection and underestimate purifying selection.
Area of Science:
- Evolutionary Biology
- Genomics
- Molecular Biology
Background:
- Synonymous codon substitutions are traditionally assumed to be selectively neutral.
- However, codon usage patterns suggest some synonymous substitutions are under selection.
- Previous analyses often overlook the complexity of selection acting on synonymous sites.
Purpose of the Study:
- To develop a new model for estimating substitution rates that accounts for multiple classes of synonymous substitutions.
- To re-evaluate the impact of selection on codon usage bias in bacterial genomes.
- To investigate the strength of selection required to explain observed codon bias patterns.
Main Methods:
- Analysis of codon usage in 13 bacterial genomes from the Enterobacterales order.
- Development of a flexible multiclass synonymous substitution (MSS) model.
- Comparison of substitution rates estimated by the MSS model versus the standard codon model.
Main Results:
- The MSS model, which distinguishes between neutral and selected synonymous substitutions, yielded lower estimates of omega (ω) compared to the standard model.
- On average, omega (ω) values were 80% lower under the MSS model.
- Observed reductions in synonymous substitution rates can be explained by very weak selection (low Ne*s).
Conclusions:
- Conventional omega (ω) analyses may overestimate positive diversifying selection and underestimate purifying selection.
- Codon usage bias is influenced by weak selection, not solely by mutation bias or neutral processes.
- The findings necessitate a refinement of evolutionary models to accurately assess selection pressures on synonymous sites.
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