Predicting the metabolic capabilities of Synechococcus elongatus PCC 7942 adapted to different light regimes.

ABSTRACT: There is great interest in engineering photoautotrophic metabolism to generate bioproducts of societal importance. Despite the success in employing genome-scale modeling coupled with flux balance analysis to engineer heterotrophic metabolism, the lack of proper constraints necessary to generate biologically realistic predictions has hindered broad application of this methodology to phototrophic metabolism. Here we describe a methodology for constraining genome-scale models of photoautotrophy in the cyanobacteria Synechococcus elongatus PCC 7942. Experimental photophysiology parameters coupled to genome-scale flux balance analysis resulted in accurate predictions of growth rates and metabolic reaction fluxes at low and high light conditions. Additionally, by constraining photon uptake fluxe

SUBMITTER: Broddrick JT 

PROVIDER: S-EPMC6407710 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature