Improving ethanol tolerance of Escherichia coli by rewiring Its global regulator cAMP receptor protein (CRP)

A major challenge in bioethanol fermentation is the low tolerance of the microbial host towards the end product bioethanol. Here we report to improve the ethanol tolerance of E. coli from the transcriptional level by engineering its global transcription factor cAMP receptor protein (CRP), which is...

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Main Authors: Chong, Huiqing, Huang, Lei, Yeow, Jianwei, Wang, Ivy, Zhang, Hongfang, Song, Hao, Jiang, Rongrong
Other Authors: School of Chemical and Biomedical Engineering
Format: Journal Article
Language:English
Published: 2013
Subjects:
Online Access:https://hdl.handle.net/10356/96553
http://hdl.handle.net/10220/9887
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author Chong, Huiqing
Huang, Lei
Yeow, Jianwei
Wang, Ivy
Zhang, Hongfang
Song, Hao
Jiang, Rongrong
author2 School of Chemical and Biomedical Engineering
author_facet School of Chemical and Biomedical Engineering
Chong, Huiqing
Huang, Lei
Yeow, Jianwei
Wang, Ivy
Zhang, Hongfang
Song, Hao
Jiang, Rongrong
author_sort Chong, Huiqing
collection NTU
description A major challenge in bioethanol fermentation is the low tolerance of the microbial host towards the end product bioethanol. Here we report to improve the ethanol tolerance of E. coli from the transcriptional level by engineering its global transcription factor cAMP receptor protein (CRP), which is known to regulate over 400 genes in E. coli. Three ethanol tolerant CRP mutants (E1– E3) were identified from error-prone PCR libraries. The best ethanol-tolerant strain E2 (M59T) had the growth rate of 0.08 h^-1 in 62 g/L ethanol, higher than that of the control at 0.06 h^-1. The M59T mutation was then integrated into the genome to create variant iE2. When exposed to 150 g/l ethanol, the survival of iE2 after 15 min was about 12%, while that of BW25113 was ,0.01%. Quantitative real-time reverse transcription PCR analysis (RT-PCR) on 444 CRP-regulated genes using OpenArrayH technology revealed that 203 genes were differentially expressed in iE2 in the absence of ethanol, whereas 92 displayed differential expression when facing ethanol stress. These genes belong to various functional groups, including central intermediary metabolism (aceE, acnA, sdhD, sucA), iron ion transport (entH, entD, fecA, fecB), and general stress response (osmY, rpoS). Six up-regulated and twelve down-regulated common genes were found in both iE2 and E2 under ethanol stress, whereas over one hundred common genes showed differential expression in the absence of ethanol. Based on the RT-PCR results, entA, marA or bhsA was knocked out in iE2 and the resulting strains became more sensitive towards ethanol.
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spelling ntu-10356/965532023-12-29T06:50:04Z Improving ethanol tolerance of Escherichia coli by rewiring Its global regulator cAMP receptor protein (CRP) Chong, Huiqing Huang, Lei Yeow, Jianwei Wang, Ivy Zhang, Hongfang Song, Hao Jiang, Rongrong School of Chemical and Biomedical Engineering DRNTU::Science::Biological sciences::Genetics A major challenge in bioethanol fermentation is the low tolerance of the microbial host towards the end product bioethanol. Here we report to improve the ethanol tolerance of E. coli from the transcriptional level by engineering its global transcription factor cAMP receptor protein (CRP), which is known to regulate over 400 genes in E. coli. Three ethanol tolerant CRP mutants (E1– E3) were identified from error-prone PCR libraries. The best ethanol-tolerant strain E2 (M59T) had the growth rate of 0.08 h^-1 in 62 g/L ethanol, higher than that of the control at 0.06 h^-1. The M59T mutation was then integrated into the genome to create variant iE2. When exposed to 150 g/l ethanol, the survival of iE2 after 15 min was about 12%, while that of BW25113 was ,0.01%. Quantitative real-time reverse transcription PCR analysis (RT-PCR) on 444 CRP-regulated genes using OpenArrayH technology revealed that 203 genes were differentially expressed in iE2 in the absence of ethanol, whereas 92 displayed differential expression when facing ethanol stress. These genes belong to various functional groups, including central intermediary metabolism (aceE, acnA, sdhD, sucA), iron ion transport (entH, entD, fecA, fecB), and general stress response (osmY, rpoS). Six up-regulated and twelve down-regulated common genes were found in both iE2 and E2 under ethanol stress, whereas over one hundred common genes showed differential expression in the absence of ethanol. Based on the RT-PCR results, entA, marA or bhsA was knocked out in iE2 and the resulting strains became more sensitive towards ethanol. Published version 2013-05-06T08:49:28Z 2019-12-06T19:32:27Z 2013-05-06T08:49:28Z 2019-12-06T19:32:27Z 2013 2013 Journal Article Chong, H., Huang, L., Yeow, J., Wang, I., Zhang, H., Song, H., & Jiang, R. (2013). Improving Ethanol Tolerance of Escherichia coli by Rewiring Its Global Regulator cAMP Receptor Protein (CRP). PLoS ONE, 8(2). 1932-6203 https://hdl.handle.net/10356/96553 http://hdl.handle.net/10220/9887 10.1371/journal.pone.0057628 23469036 en PLoS ONE © 2013 The Author(s). application/pdf
spellingShingle DRNTU::Science::Biological sciences::Genetics
Chong, Huiqing
Huang, Lei
Yeow, Jianwei
Wang, Ivy
Zhang, Hongfang
Song, Hao
Jiang, Rongrong
Improving ethanol tolerance of Escherichia coli by rewiring Its global regulator cAMP receptor protein (CRP)
title Improving ethanol tolerance of Escherichia coli by rewiring Its global regulator cAMP receptor protein (CRP)
title_full Improving ethanol tolerance of Escherichia coli by rewiring Its global regulator cAMP receptor protein (CRP)
title_fullStr Improving ethanol tolerance of Escherichia coli by rewiring Its global regulator cAMP receptor protein (CRP)
title_full_unstemmed Improving ethanol tolerance of Escherichia coli by rewiring Its global regulator cAMP receptor protein (CRP)
title_short Improving ethanol tolerance of Escherichia coli by rewiring Its global regulator cAMP receptor protein (CRP)
title_sort improving ethanol tolerance of escherichia coli by rewiring its global regulator camp receptor protein crp
topic DRNTU::Science::Biological sciences::Genetics
url https://hdl.handle.net/10356/96553
http://hdl.handle.net/10220/9887
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