#32 · Genomics
Modelling selection on weakly deleterious mutations across genomes and viruses
The common thread is explicit, equation-based modelling that links mutation-scale fitness effects to genome- and population-level outcomes. A preprint infers mutation fitness effects under strong genetic linkage, validated on simulated sequences and applied to 10,000 E. coli genomic sites. A second preprint compares molecular-modeling folding energies and substitution models for predicting phiX174 viability from a large G-protein mutant library. A published study proposes that slightly deleterious mutations attenuate HIV-1 severity and can explain the long-term trajectory of virulence evolution in a pathogen that has evolved an intermediate virulence maximising transmission. The organisms differ, so the shared element is methodological rather than taxonomic. What is new is the quantitative treatment of linkage, biophysical stability, and selection on weakly deleterious variants within mechanistic frameworks.
Published papers
Attenuation of HIV severity by slightly deleterious mutations can explain the long-term trajectory of virulence evolution.
HIV-1 is a well-studied example of a pathogen that has evolved an intermediate level of virulence that maximises transmission.
Preprints
Estimating fitness effects of mutations in the presence of genetic linkage
Develops a method to infer mutation fitness effects under strong genetic linkage, validated on simulated sequences and applied to 10,000 E. coli genomic sites.
{Phi}X174 bacteriophage viability predicted by protein biophysical modeling
Compares molecular-modeling folding energies and substitution models for predicting phiX174 viability from a large G-protein mutant library.
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