R. B. R. Azevedo

The paper models mutational meltdown in asexual populations, showing they are doomed to extinction due to mutation accumulation and population decline.

This study uses simulations to show that genetic drift promotes and recombination hinders speciation by affecting the accumulation of genetic incompatibilities between diverging populations.

The paper develops a branching process model to study evolutionary rescue, deriving probabilities and dynamics of population recovery through beneficial mutations.

This study shows that amitosis in Tetrahymena provides evolutionary benefits similar to sex, enabling long-term success of asexual lineages by reducing mutation load and accelerating adaptation.

This paper introduces a facial recognition method for sea turtles using graph representations of scale structures to identify individuals with over 94% accuracy.

The paper examines the correlation between deletion rates and dN/dS ratios in mammalian protein sequences and finds significant positive correlations not explained by alignment errors or mutation rates.

This study uses simulations to show that small-RNA-mediated repression of transposable elements evolves rapidly in response to genomic invasion and fitness costs.

The paper uses an RNA folding model to test the snowball effect of Dobzhansky-Muller incompatibilities, finding that simple DMIs do not snowball but complex DMIs do.