Agrigenomics for microalgal biofuel production: an overview of various bioinformatics resources and recent studies to link OMICS to bioenergy and bioeconomy

• Published in: Omics (Larchmont, N.Y.) Vol. 17; no. 11; p. 537
• Main Authors: Misra, Namrata, Panda, Prasanna Kumar, Parida, Bikram Kumar
• Format: Journal Article
• Language: English
• Published: United States 01.11.2013
• Subjects: Algal Proteins - genetics; Algal Proteins - metabolism; Biofuels - economics; Biofuels - supply & distribution; Biomass; Biotechnology; Databases, Genetic; Expressed Sequence Tags; Gene Expression; Genomics - methods; Internet; Lipid Metabolism - genetics; Lipids - biosynthesis; Lipids - genetics; Metabolic Engineering; Microalgae - genetics; Microalgae - metabolism
• ISSN: 1557-8100
• DOI: 10.1089/omi.2013.0025

Microalgal biofuels offer great promise in contributing to the growing global demand for alternative sources of renewable energy. However, to make algae-based fuels cost competitive with petroleum, lipid production capabilities of microalgae need to improve substantially. Recent progress in algal genomics, in conjunction with other "omic" approaches, has accelerated the ability to identify metabolic pathways and genes that are potential targets in the development of genetically engineered microalgal strains with optimum lipid content. In this review, we summarize the current bioeconomic status of global biofuel feedstocks with particular reference to the role of "omics" in optimizing sustainable biofuel production. We also provide an overview of the various databases and bioinformatics resources available to gain a more complete understanding of lipid metabolism across algal species, along with the recent contributions of "omic" approaches in the metabolic pathway studies for microalgal biofuel production.