Daniel B. Weissman

This study shows that antigenic selection of influenza virus within hosts is driven by immune pressure timing and fitness tradeoffs, with moderate stochastic effects observed.

The paper shows that bursts of reproduction can create genetic structure in bacterial populations with high recombination rates, even when recombination would otherwise eliminate such structure.

The paper shows that context-dependent altruism strategies outperform simple strategies in evolutionary simulations.

The paper models factors influencing mpox's evolutionary emergence and finds that increased human-to-human transmissibility has a greater impact on its spread than zoonotic spillovers.

This study quantifies genetic drift in within-host influenza virus populations using a population genetic model, finding low effective population sizes and evidence against the Wright-Fisher model in swine infections.

The paper derives the distribution of the time to the most recent pairwise genetic common ancestor in a recombining population, finding a characteristic scaling with population size.

This paper models recombination's impact on multi-drug resistance evolution in malaria, showing that most recombinant genotypes arise from multi-clonal infections and that ACT strategies reduce treatment failures and delay resistance.

This study uses ANI to group S. aureus strains and identifies strain-specific genes in the pangenome by analyzing gene distribution patterns.

The paper develops a coevolution score method to detect coevolving genes in bacterial genomes, finding coordinated gene gain/loss patterns in S. aureus related to antibiotic resistance.