ReviewMolecular biotechnology2012
Overview of regulatory strategies and molecular elements in metabolic engineering of bacteria.
Review in Molecular biotechnology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Controlling 3-hydroxyhexanoate mole fraction in poly (3-hydroxybutyrate-co-3-hydroxyhexanoate) by altering enoyl-CoA hydratase (phaJ) ribosome-binding site in Cupriavidus necator H16.Bioprocess and biosystems engineering · 2026Article
- Multiple Functions of Compatible Solute Ectoine and Strategies for Constructing Overproducers for Biobased Production.Molecular biotechnology · 2024Review
- Intelligent host engineering for metabolic flux optimisation in biotechnology.The Biochemical journal · 2021Review
- Heterologous production of cyanobacterial compounds.Journal of industrial microbiology & biotechnology · 2021Review
- Heterologous production of resveratrol in bacterial hosts: current status and perspectives.World journal of microbiology & biotechnology · 2018Review
- Recent Advances in the Recombinant Biosynthesis of Polyphenols.Frontiers in microbiology · 2017Review
- Identification of New Degrons inFrontiers in microbiology · 2017Article
- Epistatic Interactions in the Arabinose Cis-Regulatory Element.Molecular biology and evolution · 2016Article
- A novel arabinose-inducible genetic operation system developed for Clostridium cellulolyticum.Biotechnology for biofuels · 2015Article
- Tuning constitutive recombinant gene expression in Lactobacillus plantarum.Microbial cell factories · 2014Article
- Lactose-inducible system for metabolic engineering of Clostridium ljungdahlii.Applied and environmental microbiology · 2014Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
From a viewpoint of biotechnology, metabolic engineering mainly aims to change the natural status of a pathway in a microorganism towards the overproduction of certain bioproducts. The biochemical nature of a pathway implies us that changed pathway is often the collective results of altered behavior of the metabolic enzymes encoded by corresponding genes. By finely modulating the expression of these genes or the properties of the enzyme, we can gain efficient control on the pathway. In this article, we reviewed the typical methods that have been applied to regulate the expression of genes in metabolic engineering. These methods are grouped according to the operation targets in a typical gene. The transcription of a gene is controlled by an indispensable promoter. By utilizing promoters with different strengths, expected levels of expression can be easily achieved, and screening a promoter library may find suitable mutant promoters that can provide tunable expression of a gene. Auto-responsive promoter (quorum sensing (QS)-based or oxygen-inducible) simplifies the induction process by driving the expression of a gene in an automated manner. Light responsive promoter enables reversible and noninvasive control on gene activity, providing a promising method in controlling gene expression with time and space resolution in metabolic engineering involving complicated genetic circuits. Through directed evolution and/or rational design, the encoding sequences of a gene can be altered, leading to the possibly most profound changes in properties of a metabolic enzyme. Introducing an engineered riboswitch in mRNA can make it a regulatory molecule at the same time; ribosomal binding site is commonly engineered to be more attractive for a ribosome through design. Terminator of a gene will affect the stability of an mRNA, and intergenic region will influence the expression of many related genes. Improving the performance of these elements are generally the main activities in metabolic engineering.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.