Ville‐Petri Friman

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.

The paper uses a mung bean model to compare virulence of Pseudomonas aeruginosa CF isolates and analyze transcriptional changes during infection.

The paper shows that phage targeting a probiotic bacterium can enhance disease suppressiveness in the rhizosphere by altering bacterial interactions and diversity.

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

The paper shows CRISPR immunity in Pseudomonas aeruginosa varies in fitness benefit against virulent phages, depending on the likelihood of evolving receptor-based resistance through spontaneous mutations.

The paper assembles and annotates the genomes of two nightshade plants, S. dulcamara and S. nigrum, to identify genetic differences associated with resistance and susceptibility to Ralstonia solanacearum.

The paper develops a co-evolution algorithm to predict bacterial iron interaction networks based on siderophore synthetase-receptor gene pairs across Pseudomonas genomes, revealing habitat- and pathogen-specific interactions.

The paper predicts plant health using spatiotemporal changes in soil properties with 84% accuracy across multiple climates and cropping systems.

The paper develops a bioinformatic pipeline to predict bacterial siderophore structures and receptors from genome sequences, revealing significant diversity in pyoverdines and their receptors.

This study identifies and analyzes insertion sequences in Ralstonia solanacearum strains, revealing their distribution, lineage-specific patterns, and potential role in virulence and genetic diversity.