Teppo Hiltunen

The paper evaluates fairness in microbial community assembly by comparing observed biomass distribution to a game-theoretic fair distribution based on Shapley values across 56 community outcomes.

This study uses symbolic regression to discover microbial growth models from data, finding that models balancing data fit, parsimony, and biological relevance include linear approximations and Monod dynamics.

This study tracks four-year microbial community evolution in two environments, showing how adaptive mutations in one species can cause abrupt community state shifts.

This study examines genome-wide evolution in bacterial prey under ciliate predation, finding that clade dynamics remain similar to those in non-predated populations despite phenotypic and mutational changes.

This study shows that total carbon availability, not resource complexity, drives tristability in a synthetic microbial community, with lag phase duration predicting competitive success.

The paper shows antibiotic history shapes microbial response through eco-evolutionary and environmental feedbacks, creating a trade-off between resistance and recovery.

This study shows CRICON reduces ESBL prevalence in bacterial communities, but ESBL persistence depends on initial community composition and plasmid escape into competitive hosts.