Genome-wide gene-deletion screening identifies mutations that significantly enhance explosives vapor detection by a microbial sensor.


Journal

New biotechnology
ISSN: 1876-4347
Titre abrégé: N Biotechnol
Pays: Netherlands
ID NLM: 101465345

Informations de publication

Date de publication:
25 Nov 2020
Historique:
received: 04 04 2020
revised: 25 06 2020
accepted: 26 06 2020
pubmed: 6 7 2020
medline: 15 12 2020
entrez: 6 7 2020
Statut: ppublish

Résumé

Genetically engineered microbial biosensors, capable of detecting traces of explosives residues above buried military ordnance and emitting an optical signal in response, may potentially serve for the standoff detection of buried landmines. A promising candidate for such an application is a previously reported Escherichia coli-based reporter strain that employs the yqjF gene promoter as its sensing element; however, for this sensor to be able to detect actual landmines reliably, it was necessary for its detection sensitivity and signal intensity to be enhanced. In this study, a high-throughput approach was employed to screen the effects of individual gene deletions on yqjF activation by 2,4-dinitrotoluene (DNT). Several genes were identified, the deletion of which elicited a significant enhancement of yqjF induction by DNT. The most promising of these mutations were introduced into the sensor strain, individually or in pairs, yielding a considerable increase in signal intensity and a lowering of the detection threshold. A strain harboring two of the identified mutations, ygdD and eutE, appears to be the most sensitive microbial biosensor currently described for the detection of traces of landmine explosives.

Identifiants

pubmed: 32622861
pii: S1871-6784(20)30136-9
doi: 10.1016/j.nbt.2020.06.002
pii:
doi:

Substances chimiques

Dinitrobenzenes 0
Escherichia coli Proteins 0
2,4-dinitrotoluene 6741D310ED

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

65-73

Informations de copyright

Copyright © 2020 Elsevier B.V. All rights reserved.

Auteurs

Benjamin Shemer (B)

Department of Plant and Environmental Sciences, Institute of Life Sciences, The Hebrew University of Jerusalem, Israel.

Etai Shpigel (E)

Department of Plant and Environmental Sciences, Institute of Life Sciences, The Hebrew University of Jerusalem, Israel.

Anat Glozman (A)

Department of Plant and Environmental Sciences, Institute of Life Sciences, The Hebrew University of Jerusalem, Israel.

Sharon Yagur-Kroll (S)

Department of Plant and Environmental Sciences, Institute of Life Sciences, The Hebrew University of Jerusalem, Israel.

Yosssef Kabessa (Y)

Department of Applied Physics and the Brojde Center for Innovative Engineering and Computer Science, The Hebrew University of Jerusalem, Israel.

Aharon J Agranat (AJ)

Department of Applied Physics and the Brojde Center for Innovative Engineering and Computer Science, The Hebrew University of Jerusalem, Israel.

Shimshon Belkin (S)

Department of Plant and Environmental Sciences, Institute of Life Sciences, The Hebrew University of Jerusalem, Israel. Electronic address: sb@mail.huji.ac.il.

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Classifications MeSH