Multi-genome metabolic modeling predicts functional inter-dependencies in the Arabidopsis root microbiome.

ABSTRACT:

Background

From a theoretical ecology point of view, microbiomes are far more complex than expected. Besides competition and competitive exclusion, cooperative microbe-microbe interactions have to be carefully considered. Metabolic dependencies among microbes likely explain co-existence in microbiota.

Methodology

In this in silico study, we explored genome-scale metabolic models (GEMs) of 193 bacteria isolated from Arabidopsis thaliana roots. We analyzed their predicted producible metabolites under simulated nutritional constraints including "root exudate-mimicking growth media" and assessed the potential of putative metabolic exchanges of by- and end-products to avoid those constraints.

Results

We found that the genome-encoded metabolic potential is quantitatively an

SUBMITTER: Mataigne A 

PROVIDER: S-EPMC9733318 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature