Martina Dal Bello

The paper analyzes DNA captured during siphonophore genome sequencing to identify associated organisms, revealing bacterial and eukaryotic diversity.

This study uses rRNA and rDNA dynamics to model microbial physiology in a freshwater community, finding that rRNA:rDNA ratios reflect growth rates and respond more strongly to environmental changes than rDNA alone.

The paper shows that microbial communities maintain growth under stress by shifting towards species with higher growth rates, using experiments and modeling.

The paper shows that population growth slows sublinearly with density in most species, challenging the resource-depletion model and suggesting other inhibitory processes are at play.

The paper investigates how nutrient availability affects microbial community diversity and structure through experiments and a consumer-resource model.

This study shows that Caenorhabditis elegans can reverse attraction to ascaroside pheromones through associative learning involving food deprivation.