A refined genome-scale reconstruction of Chlamydomonas metabolism provides a platform for systems-level analyses.
Ontology highlight
ABSTRACT: Microalgae have reemerged as organisms of prime biotechnological interest due to their ability to synthesize a suite of valuable chemicals. To harness the capabilities of these organisms, we need a comprehensive systems-level understanding of their metabolism, which can be fundamentally achieved through large-scale mechanistic models of metabolism. In this study, we present a revised and significantly improved genome-scale metabolic model for the widely-studied microalga, Chlamydomonas reinhardtii. The model, iCre1355, represents a major advance over previous models, both in content and predictive power. iCre1355 encompasses a broad range of metabolic functions encoded across the nuclear, chloroplast and mitochondrial genomes accounting for 1355 genes (1460 transcripts), 2394 and 1133 meta
SUBMITTER: Imam S
PROVIDER: S-EPMC4715634 | biostudies-literature | 2015 Dec
REPOSITORIES: biostudies-literature
ACCESS DATA