Metabolic modeling of the International Space Station microbiome reveals key microbial interactions.

ABSTRACT:

Background

Recent studies have provided insights into the persistence and succession of microbes aboard the International Space Station (ISS), notably the dominance of Klebsiella pneumoniae. However, the interactions between the various microbes aboard the ISS and how they shape the microbiome remain to be clearly understood. In this study, we apply a computational approach to predict possible metabolic interactions in the ISS microbiome and shed further light on its organization.

Results

Through a combination of a systems-based graph-theoretical approach, and a constraint-based community metabolic modeling approach, we demonstrated several key interactions in the ISS microbiome. These complementary approaches provided insights into the metabolic interactions and dependencie

SUBMITTER: Kumar RK 

PROVIDER: S-EPMC9258157 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature