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.
Variants of the TATA-binding protein can distinguish subsets of RNA polymerase I, II, and III promoters
Phenotypic alteration of eukaryotic cells using randomized libraries of artificial transcription factors
Proteomic analysis of Candida magnoliae strains by two-dimensional gel electrophoresis and mass spectrometry
Construction of lycopene-overproducing E. coli strains by combining systematic and combinatorial gene knockout targets
Phenotypic alteration and target gene identification using combinatorial libraries of zinc finger proteins in prokaryotic cells
Improvement of xylose uptake and ethanol production in recombinant Saccharomyces cerevisiae through an inverse metabolic engineering approach
Artificial transcription factors increase production of recombinant antibodies in Chinese hamster ovary cells
High-throughput screen for poly-3-hydroxybutyrate in Escherichia coli and Synechocystis sp. strain PCC6803
Engineering of promoter replacement cassettes for fine-tuning of gene expression in Saccharomyces cerevisiae
Dynamics of genomic-library enrichment and identification of solvent tolerance genes for Clostridium acetobutylicum
Phenotypic engineering by reprogramming gene transcription using novel artificial transcription factors in Escherichia coli
Identification of gene disruptions for increased poly-3-hydroxybutyrate accumulation in Synechocystis PCC 6803
Invariability of central metabolic flux distribution in Shewanella oneidensis MR-1 under environmental or genetic perturbations
Tracking the roots of cellulase hyperproduction by the fungus Trichoderma reesei using massively parallel DNA sequencing
cAMP receptor protein (CRP)-mediated resistance/tolerance in bacteria: mechanism and utilization in biotechnology
Transcription interference and ORF nature strongly affect promoter strength in a reconstituted metabolic pathway
Enhancing flavonoid production by systematically tuning the central metabolic pathways based on a CRISPR interference system in Escherichia coli
Improved Acetic Acid Resistance in Saccharomyces cerevisiae by Overexpression of the WHI2 Gene Identified through Inverse Metabolic Engineering
Rewired cellular signaling coordinates sugar and hypoxic responses for anaerobic xylose fermentation in yeast
An extra copy of the β-glucosidase gene improved the cellobiose fermentation capability of an engineered Saccharomyces cerevisiae strain
CREs: Gene & Cell Therapy
Gene and cell therapy advances have shown promising outcomes for several diseases. The role of cis-regulatory elements (CREs) is crucial in the design of gene therapy vectors. Here is the latest research on CREs in gene and cell therapy.
Biofuels are produced through contemporary processes from biomass rather than geological processes involved in fossil fuel formation. Examples include biodiesel, green diesel, biogas, etc. Discover the latest research on biofuels in this feed.