Interactions between Culturable Bacteria Are Predicted by Individual Species' Growth.

ABSTRACT: Predicting interspecies interactions is a key challenge in microbial ecology given that interactions shape the composition and functioning of microbial communities. However, predicting microbial interactions is challenging because they can vary considerably depending on species' metabolic capabilities and environmental conditions. Here, we employ machine learning models to predict pairwise interactions between culturable bacteria based on their phylogeny, monoculture growth capabilities, and interactions with other species. We trained our models on one of the largest available pairwise interactions data set containing over 7,500 interactions between 20 species from two taxonomic groups that were cocultured in 40 different carbon environments. Our models accurately predicted both the sign (

SUBMITTER: Nestor E 

PROVIDER: S-EPMC10134828 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature