Literature DB >> 24212579

A vector library for silencing central carbon metabolism genes with antisense RNAs in Escherichia coli.

Nobutaka Nakashima1, Satoshi Ohno, Katsunori Yoshikawa, Hiroshi Shimizu, Tomohiro Tamura.   

Abstract

We describe here the construction of a series of 71 vectors to silence central carbon metabolism genes in Escherichia coli. The vectors inducibly express antisense RNAs called paired-terminus antisense RNAs, which have a higher silencing efficacy than ordinary antisense RNAs. By measuring mRNA amounts, measuring activities of target proteins, or observing specific phenotypes, it was confirmed that all the vectors were able to silence the expression of target genes efficiently. Using this vector set, each of the central carbon metabolism genes was silenced individually, and the accumulation of metabolites was investigated. We were able to obtain accurate information on ways to increase the production of pyruvate, an industrially valuable compound, from the silencing results. Furthermore, the experimental results of pyruvate accumulation were compared to in silico predictions, and both sets of results were consistent. Compared to the gene disruption approach, the silencing approach has an advantage in that any E. coli strain can be used and multiple gene silencing is easily possible in any combination.

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Year:  2013        PMID: 24212579      PMCID: PMC3911099          DOI: 10.1128/AEM.02376-13

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   4.792


  48 in total

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5.  Effect of microaerophilic cell growth conditions on expression of the aerobic (cyoABCDE and cydAB) and anaerobic (narGHJI, frdABCD, and dmsABC) respiratory pathway genes in Escherichia coli.

Authors:  C P Tseng; J Albrecht; R P Gunsalus
Journal:  J Bacteriol       Date:  1996-02       Impact factor: 3.490

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7.  Growth rate regulation of Escherichia coli acetyl coenzyme A carboxylase, which catalyzes the first committed step of lipid biosynthesis.

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8.  Transcriptional regulation of the proton translocating NADH dehydrogenase genes (nuoA-N) of Escherichia coli by electron acceptors, electron donors and gene regulators.

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9.  Generation of gene deletions and gene replacements in Escherichia coli O157:H7 using a temperature sensitive allelic exchange system.

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10.  Variable coordination of cotranscribed genes in Escherichia coli following antisense repression.

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Journal:  BMC Microbiol       Date:  2006-11-21       Impact factor: 3.605

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  8 in total

1.  Silencing of Essential Genes within a Highly Coordinated Operon in Escherichia coli.

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Journal:  Appl Environ Microbiol       Date:  2015-06-12       Impact factor: 4.792

2.  Fine-Tuning of the Fatty Acid Pathway by Synthetic Antisense RNA for Enhanced (2S)-Naringenin Production from l-Tyrosine in Escherichia coli.

Authors:  Junjun Wu; Oliver Yu; Guocheng Du; Jingwen Zhou; Jian Chen
Journal:  Appl Environ Microbiol       Date:  2014-09-19       Impact factor: 4.792

3.  Multi-level kinetic model explaining diverse roles of isozymes in prokaryotes.

Authors:  Jiri Jablonsky; Doreen Schwarz; Martin Hagemann
Journal:  PLoS One       Date:  2014-08-15       Impact factor: 3.240

4.  Pyruvate production using engineered Escherichia coli.

Authors:  Hironaga Akita; Nobutaka Nakashima; Tamotsu Hoshino
Journal:  AMB Express       Date:  2016-10-08       Impact factor: 3.298

5.  CRISPRi enables fast growth followed by stable aerobic pyruvate formation in Escherichia coli without auxotrophy.

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6.  Enhancing flavonoid production by systematically tuning the central metabolic pathways based on a CRISPR interference system in Escherichia coli.

Authors:  Junjun Wu; Guocheng Du; Jian Chen; Jingwen Zhou
Journal:  Sci Rep       Date:  2015-09-01       Impact factor: 4.379

Review 7.  Bacterial cellular engineering by genome editing and gene silencing.

Authors:  Nobutaka Nakashima; Kentaro Miyazaki
Journal:  Int J Mol Sci       Date:  2014-02-18       Impact factor: 5.923

8.  Different strategies of metabolic regulation in cyanobacteria: from transcriptional to biochemical control.

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Journal:  Sci Rep       Date:  2016-09-09       Impact factor: 4.379

  8 in total

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