Computational approaches for microalgal biofuel optimization: A review

Joseph Koussa, Amphun Chaiboonchoe, Kourosh Salehi-Ashtiani

Research output: Contribution to journalReview article

Abstract

The increased demand and consumption of fossil fuels have raised interest in finding renewable energy sources throughout the globe. Much focus has been placed on optimizing microorganisms and primarily microalgae, to efficiently produce compounds that can substitute for fossil fuels. However, the path to achieving economic feasibility is likely to require strain optimization through using available tools and technologies in the fields of systems and synthetic biology. Such approaches invoke a deep understanding of the metabolic networks of the organisms and their genomic and proteomic profiles. The advent of next generation sequencing and other high throughput methods has led to a major increase in availability of biological data. Integration of such disparate data can help define the emergent metabolic system properties, which is of crucial importance in addressing biofuel production optimization. Herein, we review major computational tools and approaches developed and used in order to potentially identify target genes, pathways, and reactions of particular interest to biofuel production in algae. As the use of these tools and approaches has not been fully implemented in algal biofuel research, the aim of this review is to highlight the potential utility of these resources toward their future implementation in algal research.

Original languageEnglish (US)
Article number649453
JournalBioMed Research International
Volume2014
DOIs
StatePublished - Jan 1 2014

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Biofuels
Fossil Fuels
Fossil fuels
Renewable Energy
Synthetic Biology
Microalgae
Systems Biology
Algae
Metabolic Networks and Pathways
Research
Microorganisms
Proteomics
Biological Availability
Genes
Economics
Throughput
Availability
Technology

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Immunology and Microbiology(all)

Cite this

Computational approaches for microalgal biofuel optimization : A review. / Koussa, Joseph; Chaiboonchoe, Amphun; Salehi-Ashtiani, Kourosh.

In: BioMed Research International, Vol. 2014, 649453, 01.01.2014.

Research output: Contribution to journalReview article

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