Improved evidence-based genome-scale metabolic models for maize leaf, embryo, and endosperm.

ABSTRACT: There is a growing demand for genome-scale metabolic reconstructions for plants, fueled by the need to understand the metabolic basis of crop yield and by progress in genome and transcriptome sequencing. Methods are also required to enable the interpretation of plant transcriptome data to study how cellular metabolic activity varies under different growth conditions or even within different organs, tissues, and developmental stages. Such methods depend extensively on the accuracy with which genes have been mapped to the biochemical reactions in the plant metabolic pathways. Errors in these mappings lead to metabolic reconstructions with an inflated number of reactions and possible generation of unreliable metabolic phenotype predictions. Here we introduce a new evidence-based genome-scale

SUBMITTER: Seaver SM 

PROVIDER: S-EPMC4354304 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature