Unknown

Dataset Information

Cellular trade-offs and optimal resource allocation during cyanobacterial diurnal growth.


ABSTRACT: Cyanobacteria are an integral part of Earth's biogeochemical cycles and a promising resource for the synthesis of renewable bioproducts from atmospheric CO2 Growth and metabolism of cyanobacteria are inherently tied to the diurnal rhythm of light availability. As yet, however, insight into the stoichiometric and energetic constraints of cyanobacterial diurnal growth is limited. Here, we develop a computational framework to investigate the optimal allocation of cellular resources during diurnal phototrophic growth using a genome-scale metabolic reconstruction of the cyanobacterium Synechococcus elongatus PCC 7942. We formulate phototrophic growth as an autocatalytic process and solve the resulting time-dependent resource allocation problem using constraint-based analysis.

SUBMITTER: Reimers AM 

PROVIDER: S-EPMC5547584 | biostudies-literature | 2017 Aug

REPOSITORIES: biostudies-literature