Utilizing genome-scale models to optimize nutrient supply for sustained algal growth and lipid productivity.

ABSTRACT: Nutrient availability is critical for growth of algae and other microbes used for generating valuable biochemical products. Determining the optimal levels of nutrient supplies to cultures can eliminate feeding of excess nutrients, lowering production costs and reducing nutrient pollution into the environment. With the advent of omics and bioinformatics methods, it is now possible to construct genome-scale models that accurately describe the metabolism of microorganisms. In this study, a genome-scale model of the green alga Chlorella vulgaris (iCZ946) was applied to predict feeding of multiple nutrients, including nitrate and glucose, under both autotrophic and heterotrophic conditions. The objective function was changed from optimizing growth to instead minimizing nitrate and

SUBMITTER: Li CT 

PROVIDER: S-EPMC6760154 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature