Simulating cyanobacterial phenotypes by integrating flux balance analysis, kinetics, and a light distribution function.

ABSTRACT:

Background

Genome-scale models (GSMs) are widely used to predict cyanobacterial phenotypes in photobioreactors (PBRs). However, stoichiometric GSMs mainly focus on fluxome that result in maximal yields. Cyanobacterial metabolism is controlled by both intracellular enzymes and photobioreactor conditions. To connect both intracellular and extracellular information and achieve a better understanding of PBRs productivities, this study integrates a genome-scale metabolic model of Synechocystis 6803 with growth kinetics, cell movements, and a light distribution function. The hybrid platform not only maps flux dynamics in cells of sub-populations but also predicts overall production titer and rate in PBRs.

Results

Analysis of the integrated GSM demonstrates several results. First,

SUBMITTER: He L 

PROVIDER: S-EPMC5574461 | biostudies-literature | 2015 Dec

REPOSITORIES: biostudies-literature