Literature DB >> 25155412

Genome engineering and gene expression control for bacterial strain development.

Chan Woo Song1, Joungmin Lee, Sang Yup Lee.   

Abstract

In recent years, a number of techniques and tools have been developed for genome engineering and gene expression control to achieve desired phenotypes of various bacteria. Here we review and discuss the recent advances in bacterial genome manipulation and gene expression control techniques, and their actual uses with accompanying examples. Genome engineering has been commonly performed based on homologous recombination. During such genome manipulation, the counterselection systems employing SacB or nucleases have mainly been used for the efficient selection of desired engineered strains. The recombineering technology enables simple and more rapid manipulation of the bacterial genome. The group II intron-mediated genome engineering technology is another option for some bacteria that are difficult to be engineered by homologous recombination. Due to the increasing demands on high-throughput screening of bacterial strains having the desired phenotypes, several multiplex genome engineering techniques have recently been developed and validated in some bacteria. Another approach to achieve desired bacterial phenotypes is the repression of target gene expression without the modification of genome sequences. This can be performed by expressing antisense RNA, small regulatory RNA, or CRISPR RNA to repress target gene expression at the transcriptional or translational level. All of these techniques allow efficient and rapid development and screening of bacterial strains having desired phenotypes, and more advanced techniques are expected to be seen.
Copyright © 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Keywords:  Bacteria; CRISPR-Cas9; Genome engineering; Metabolic engineering; Small regulatory RNA

Mesh:

Substances:

Year:  2014        PMID: 25155412     DOI: 10.1002/biot.201400057

Source DB:  PubMed          Journal:  Biotechnol J        ISSN: 1860-6768            Impact factor:   4.677


  16 in total

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10.  A Bioinformatic Method For Identifying Group II Introns In Organella Genomes.

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Journal:  Front Genet       Date:  2019-11-14       Impact factor: 4.599

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