Comparative genome-scale reconstruction of gapless metabolic networks for present and ancestral species.

ABSTRACT: We introduce a novel computational approach, CoReCo, for comparative metabolic reconstruction and provide genome-scale metabolic network models for 49 important fungal species. Leveraging on the exponential growth in sequenced genome availability, our method reconstructs genome-scale gapless metabolic networks simultaneously for a large number of species by integrating sequence data in a probabilistic framework. High reconstruction accuracy is demonstrated by comparisons to the well-curated Saccharomyces cerevisiae consensus model and large-scale knock-out experiments. Our comparative approach is particularly useful in scenarios where the quality of available sequence data is lacking, and when reconstructing evolutionary distant species. Moreover, the reconstructed networks are fully carbo

SUBMITTER: Pitkanen E 

PROVIDER: S-EPMC3916221 | biostudies-literature | 2014 Feb

REPOSITORIES: biostudies-literature