Classifying Interactions in a Synthetic Bacterial Community Is Hindered by Inhibitory Growth Medium.

ABSTRACT: Predicting the fate of a microbial community and its member species relies on understanding the nature of their interactions. However, designing simple assays that distinguish between interaction types can be challenging. Here, we performed spent medium assays based on the predictions of a mathematical model to decipher the interactions among four bacterial species: Agrobacterium tumefaciens, Comamonas testosteroni, Microbacterium saperdae, and Ochrobactrum anthropi. While most experimental results matched model predictions, the behavior of C. testosteroni did not: its lag phase was reduced in the pure spent media of A. tumefaciens and M. saperdae but prolonged again when we replenished our growth medium. Further experiments showed that the growth medium actually delayed the

SUBMITTER: Dos Santos AR 

PROVIDER: S-EPMC9600862 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature