Hidehiro Ishizawa

The paper shows that competition-induced metabolic switching drives microbial interactions in plant microbiomes, with strains switching substrates during competition to dominate the inhibitory interaction network.

This study uses sub-community analysis and machine learning to predict and interpret microbial community functions, showing that small sub-communities can predict larger community functions.

The paper predicts microbial community structure using higher-order interactions, showing trio combinations improve accuracy over pairwise methods.