Andrew D. Letten

This study shows that metabolic switching allows microbes to coexist with specialists under fluctuating resources by exploiting temporal niches through flexible metabolism.

The paper shows that sublinear density dependence can arise from sequential shifts in resource limitation, without needing other factors like predation, and predicts superlinear dependence at high and low densities.

The paper identifies prevalent and evolvable streptomycin resistance mutations across bacterial species using computational analysis of genomic data.

This study examines how genetic background and temperature affect the fitness effects of antibiotic resistance mutations across three bacterial species, finding strong genotype-by-genotype and genotype-by-environment interactions.

The paper assesses rifampicin resistance evolvability across bacteria by analyzing mutations in rpoB genes across 18,000 genomes.

This paper challenges the assumption that resource fluctuations limit biodiversity by showing how species can coexist through specialization on different temporal resource patterns.

The paper shows that optimal antimicrobial dosing combinations depend on the relative mutation rates of drugs, with a linear relationship in log-log space between dose ratios and mutation rate ratios.

This paper shows that frequent, infinitesimal bottlenecks maximize microbial adaptation rates, challenging standard lab practices.