Article

Identification and reconstitution of genetic regulatory networks for improved microbial tolerance to isooctane.

Division of Chemical and Biomolecular Engineering, School of Chemical and Biomedical Engineering, Nanyang Technological University, 637459, Singapore.
Molecular BioSystems (impact factor: 3.53). 04/2012; 8(4):1350-8. DOI:10.1039/c2mb05441h pp.1350-8
Source: PubMed

ABSTRACT Microbial tolerance to hydrocarbons has been studied in an effort to improve the productivity of biochemical processes and to enhance the efficiency of hydrocarbon bioremediation. Despite these studies, few attempts have been made to design rational strategies to improve microbial tolerance to hydrocarbons. Herein, we present an engineering framework that enables us to harness our understanding of genetic regulatory networks to improve hydrocarbon tolerance. In this study, isooctane was used as a representative hydrocarbon due to its use in petroleum refining and in biochemical processes. To increase isooctane tolerance, we first identified essential transcriptional determinants and genetic regulatory networks underlying cellular responses to isooctane in Escherichia coli using genome-wide microarray analysis. Based on functional transcriptome and bioinformatics analysis, a range of combinations of transcription factors whose activity was predictably perturbed by isooctane were knocked out and overexpressed to reconstitute the regulatory networks. We demonstrated that the reconstitution of the regulatory networks led to a significant improvement in isooctane tolerance, and especially, engineered E. coli strains lacking and overexpressing some of the perturbed transcription factors showed 3- to 5-fold improvement. This microbe with high tolerance to isooctane can be harnessed for biochemical processes, fuel oil bioremediation and metabolic engineering for biofuel production. Furthermore, we envision that the engineering framework employed to improve the tolerance in this study can be exploited for developing other microbes with desired phenotypes.

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Keywords

biofuel production
 
design rational strategies
 
desired phenotypes
 
E. coli strains
 
engineering framework
 
Escherichia coli
 
essential transcriptional determinants
 
fuel oil bioremediation
 
genetic regulatory networks
 
genome-wide microarray analysis
 
hydrocarbon bioremediation
 
hydrocarbon tolerance
 
hydrocarbons
 
increase isooctane tolerance
 
isooctane tolerance
 
Microbial tolerance
 
perturbed transcription factors
 
petroleum refining
 
regulatory networks
 
representative hydrocarbon
 

Aram Kang