High-quality genome-scale metabolic modelling of Pseudomonas putida highlights its broad metabolic capabilities.

ABSTRACT: Genome-scale reconstructions of metabolism are computational species-specific knowledge bases able to compute systemic metabolic properties. We present a comprehensive and validated reconstruction of the biotechnologically relevant bacterium Pseudomonas putida KT2440 that greatly expands computable predictions of its metabolic states. The reconstruction represents a significant reactome expansion over available reconstructed bacterial metabolic networks. Specifically, iJN1462 (i) incorporates several hundred additional genes and associated reactions resulting in new predictive capabilities, including new nutrients supporting growth; (ii) was validated by in vivo growth screens that included previously untested carbon (48) and nitrogen (41) sources; (iii) yielded gene essentiality predictio

SUBMITTER: Nogales J 

PROVIDER: S-EPMC7078882 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature