Microalgal Systems Biology Through Genome-Scale Metabolic Reconstructions for Industrial Applications

Seong Joo Hong, Choul Gyun Lee

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

5 Scopus citations

Abstract

Since the publication of the complete genome sequence of Synechocystis sp. PCC6803, an enormous amount of genomic data for microalgae has been made available on the web. As of November 2013, genome information for 39 cyanobacteria and 24 eukaryotic microalgae is publicly accessible. Additionally, the development of high-throughput omics technologies has driven the accumulation of information on microalgal metabolism. With the evolution of omics technologies, systems biology has become a tool for processing massive amounts of omics data; it has revealed global microalgal metabolic networks and enhanced our understanding of cellular physiology and regulation. Using in silico models of microalgae generated by systems biology, researchers can investigate the photosynthetic pathways that convert inorganic carbon to organic carbon and cellular responses to environmental changes. Such studies will provide opportunities for enhancing microalgal biomass and productivity.

Original languageEnglish
Title of host publicationHandbook of Marine Microalgae
Subtitle of host publicationBiotechnology Advances
PublisherElsevier Inc.
Pages353-370
Number of pages18
ISBN (Electronic)9780128011249
ISBN (Print)9780128007761
DOIs
StatePublished - 1 Jun 2015

Bibliographical note

Publisher Copyright:
© 2015 Elsevier Inc. All rights reserved.

Keywords

  • Cell factories
  • In silico model
  • Metabolic networks
  • Metabolic reconstruction
  • Systems biology

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