Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/142191
Title: | Development and application of a transcriptional sensor for detection of heterologous acrylic acid production in E. coli | Authors: | Raghavan, Sarada S. Chee, Sharon Li, Juntao Poschmann, Jeremie Nagarajan, Niranjan Wei, Siau Jia Verma, Chandra Shekhar Ghadessy, Farid John |
Keywords: | Science::Biological sciences | Issue Date: | 2019 | Source: | Raghavan, S. S., Chee, S., Li, J., Poschmann, J., Nagarajan, N., Wei, S. J., . . . Ghadessy, F. J. (2019). Development and application of a transcriptional sensor for detection of heterologous acrylic acid production in E. coli. Microbial Cell Factories, 18(1), 139-. doi:10.1186/s12934-019-1185-y | Journal: | Microbial Cell Factories | Abstract: | Background: Acrylic acid (AA) is a widely used commodity chemical derived from non-renewable fossil fuel sources. Alternative microbial-based production methodologies are being developed with the aim of providing “green” acrylic acid. These initiatives will benefit from component sensing tools that facilitate rapid and easy detection of in vivo AA production. Results: We developed a novel transcriptional sensor facilitating in vivo detection of acrylic acid (AA). RNAseq analysis of Escherichia coli exposed to sub-lethal doses of acrylic acid identified a selectively responsive promoter (PyhcN) that was cloned upstream of the eGFP gene. In the presence of AA, eGFP expression in E. coli cells harbouring the sensing construct was readily observable by fluorescence read-out. Low concentrations of AA (500 μM) could be detected whilst the closely related lactic and 3-hydroxy propionic acids failed to activate the sensor. We further used the developed AA-biosensor for in vivo FACS-based screening and identification of amidase mutants with improved catalytic properties for deamination of acrylamide to acrylic acid. Conclusions: The transcriptional AA sensor developed in this study will benefit strain, enzyme and pathway engineering initiatives targeting the efficient formation of bio-acrylic acid. | URI: | https://hdl.handle.net/10356/142191 | ISSN: | 1475-2859 | DOI: | 10.1186/s12934-019-1185-y | Schools: | School of Biological Sciences | Organisations: | Bioinformatics Institute, A*STAR | Rights: | © 2019 The Author(s). This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/ publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | SBS Journal Articles |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Development and application of a transcriptional sensor for detection of heterologous acrylic acid production in E. coli.pdf | 3.61 MB | Adobe PDF | ![]() View/Open |
SCOPUSTM
Citations
20
11
Updated on Jun 2, 2023
Web of ScienceTM
Citations
20
10
Updated on Jun 2, 2023
Page view(s)
257
Updated on Jun 6, 2023
Download(s) 50
33
Updated on Jun 6, 2023
Google ScholarTM
Check
Altmetric
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.