Elucidating temporal resource allocation and diurnal dynamics in phototrophic metabolism using conditional FBA.

ABSTRACT: The computational analysis of phototrophic growth using constraint-based optimization requires to go beyond current time-invariant implementations of flux-balance analysis (FBA). Phototrophic organisms, such as cyanobacteria, rely on harvesting the sun's energy for the conversion of atmospheric CO2 into organic carbon, hence their metabolism follows a strongly diurnal lifestyle. We describe the growth of cyanobacteria in a periodic environment using a new method called conditional FBA. Our approach enables us to incorporate the temporal organization and conditional dependencies into a constraint-based description of phototrophic metabolism. Specifically, we take into account that cellular processes require resources that are themselves products of metabolism. Phototrophic growth can theref

SUBMITTER: Rugen M 

PROVIDER: S-EPMC4620596 | biostudies-literature | 2015 Oct

REPOSITORIES: biostudies-literature