Genome-scale reconstruction of metabolic networks of Lactobacillus casei ATCC 334 and 12A.

ABSTRACT: Lactobacillus casei strains are widely used in industry and the utility of this organism in these industrial applications is strain dependent. Hence, tools capable of predicting strain specific phenotypes would have utility in the selection of strains for specific industrial processes. Genome-scale metabolic models can be utilized to better understand genotype-phenotype relationships and to compare different organisms. To assist in the selection and development of strains with enhanced industrial utility, genome-scale models for L. casei ATCC 334, a well characterized strain, and strain 12A, a corn silage isolate, were constructed. Draft models were generated from RAST genome annotations using the Model SEED database and refined by evaluating ATP generating cycles, mass-and-charge-balances

SUBMITTER: Vinay-Lara E 

PROVIDER: S-EPMC4231531 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature