Martin Ackermann

This study shows auxotrophy is a conserved genomic lifestyle feature, not a transient response to nutrients, challenging the Black Queen Hypothesis.

This study shows that cell motility in microbial communities disrupts clonal clustering, increases spatial intermixing, and enhances metabolic interactions and community productivity.

This study shows that phage-mediated lysis increases the growth rate of surviving bacterial cells by recycling nutrients, which partially compensates for cell loss and affects population dynamics.

The paper investigates how auxotrophic mutants in E. coli populations grow in spatially structured communities, finding that growth is constrained by amino acid leakage and clustering.

The paper shows bacteria use contact-dependent antagonism to acquire nutrients by lysing neighbors during starvation, enhancing growth in spatially structured environments.

The paper identifies a risk-reward trade-off in motility endurance among copiotrophic marine bacteria, revealing two distinct strategies with genomic predictors.

The paper develops a mathematical framework to predict community-level properties from local cell-cell interactions in two-cell-type systems, showing how molecular parameters influence community dynamics.

The paper studies phenotypic switching in Salmonella by analyzing fliC promoter dynamics, finding that oscillatory transitions occur due to regulatory delays rather than noise-driven transitions.

The paper measures spatial interaction networks in microbial communities and finds that short-range interactions significantly impact system function and metabolic processes.

This study shows that metabolic activity variation in structured microbial populations affects single-cell responses to nutrient switches, with cross-feeding cells having higher growth resumption probability.

This study shows artificial selection can counteract the negative effects of bacterial range expansion by increasing expansion speed through loss of function mutations.