Combinatorial genetic perturbation to refine metabolic circuits for producing biofuels and biochemicals

Hyo Jin Kim, Timothy Lee Turner, Yong Su Jin

Research output: Contribution to journalReview article

Abstract

Recent advances in metabolic engineering have enabled microbial factories to compete with conventional processes for producing fuels and chemicals. Both rational and combinatorial approaches coupled with synthetic and systematic tools play central roles in metabolic engineering to create and improve a selected microbial phenotype. Compared to knowledge-based rational approaches, combinatorial approaches exploiting biological diversity and high-throughput screening have been demonstrated as more effective tools for improving various phenotypes of interest. In particular, identification of unprecedented targets to rewire metabolic circuits for maximizing yield and productivity of a target chemical has been made possible. This review highlights general principles and the features of the combinatorial approaches using various libraries to implement desired phenotypes for strain improvement. In addition, recent applications that harnessed the combinatorial approaches to produce biofuels and biochemicals will be discussed.

Original languageEnglish (US)
Pages (from-to)976-985
Number of pages10
JournalBiotechnology Advances
Volume31
Issue number6
DOIs
StatePublished - Nov 1 2013

Fingerprint

Metabolic engineering
Biofuels
Metabolic Engineering
Phenotype
Networks (circuits)
Biodiversity
Industrial plants
Screening
Productivity
Throughput
Libraries

Keywords

  • Biochemical
  • Biofuel
  • Combinatorial library
  • Inverse metabolic engineering
  • Metabolic circuit

ASJC Scopus subject areas

  • Biotechnology

Cite this

Combinatorial genetic perturbation to refine metabolic circuits for producing biofuels and biochemicals. / Kim, Hyo Jin; Turner, Timothy Lee; Jin, Yong Su.

In: Biotechnology Advances, Vol. 31, No. 6, 01.11.2013, p. 976-985.

Research output: Contribution to journalReview article

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