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Protein-based biorefining driven by nitrogen-responsive transcriptional machinery

BACKGROUND: Protein-based bioconversion has been demonstrated as a sustainable approach to produce higher alcohols and ammonia fertilizers. However, owing to the switchover from transcription mediated by the bacterial RNA polymerase σ(70) to that mediated by alternative σ factors, the biofuel produc...

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Autores principales: Ma, Lianjie, Guo, Liwei, Yang, Yunpeng, Guo, Kai, Yan, Yajun, Ma, Xiaoyan, Huo, Yi-Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7045595/
https://www.ncbi.nlm.nih.gov/pubmed/32127916
http://dx.doi.org/10.1186/s13068-020-1667-5
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author Ma, Lianjie
Guo, Liwei
Yang, Yunpeng
Guo, Kai
Yan, Yajun
Ma, Xiaoyan
Huo, Yi-Xin
author_facet Ma, Lianjie
Guo, Liwei
Yang, Yunpeng
Guo, Kai
Yan, Yajun
Ma, Xiaoyan
Huo, Yi-Xin
author_sort Ma, Lianjie
collection PubMed
description BACKGROUND: Protein-based bioconversion has been demonstrated as a sustainable approach to produce higher alcohols and ammonia fertilizers. However, owing to the switchover from transcription mediated by the bacterial RNA polymerase σ(70) to that mediated by alternative σ factors, the biofuel production driven by σ(70)-dependent promoters declines rapidly once cells enter the stationary phase or encounter stresses. To enhance biofuel production, in this study the growth phase-independent and nitrogen-responsive transcriptional machinery mediated by the σ(54) is exploited to drive robust protein-to-fuel conversion. RESULTS: We demonstrated that disrupting the Escherichia coli ammonia assimilation pathways driven by glutamate dehydrogenase and glutamine synthetase could sustain the activity of σ(54)-mediated transcription under ammonia-accumulating conditions. In addition, two σ(54)-dependent promoters, argTp and glnAp2, were identified as suitable candidates for driving pathway expression. Using these promoters, biofuel production from proteins was shown to persist to the stationary phase, with the net production in the stationary phase being 1.7-fold higher than that derived from the optimal reported σ(70)-dependent promoter P(L)lacO(1). Biofuel production reaching levels 1.3- to 3.4-fold higher than those of the σ(70)-dependent promoters was also achieved by argTp and glnAp2 under stressed conditions. Moreover, the σ(54)-dependent promoters realized more rapid and stable production than that of σ(70)-dependent promoters during fed-batch fermentation, producing up to 4.78 g L (− 1) of total biofuels. CONCLUSIONS: These results suggested that the nitrogen-responsive transcriptional machinery offers the potential to decouple production from growth, highlighting this system as a novel candidate to realize growth phase-independent and stress-resistant biofuel production.
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spelling pubmed-70455952020-03-03 Protein-based biorefining driven by nitrogen-responsive transcriptional machinery Ma, Lianjie Guo, Liwei Yang, Yunpeng Guo, Kai Yan, Yajun Ma, Xiaoyan Huo, Yi-Xin Biotechnol Biofuels Research BACKGROUND: Protein-based bioconversion has been demonstrated as a sustainable approach to produce higher alcohols and ammonia fertilizers. However, owing to the switchover from transcription mediated by the bacterial RNA polymerase σ(70) to that mediated by alternative σ factors, the biofuel production driven by σ(70)-dependent promoters declines rapidly once cells enter the stationary phase or encounter stresses. To enhance biofuel production, in this study the growth phase-independent and nitrogen-responsive transcriptional machinery mediated by the σ(54) is exploited to drive robust protein-to-fuel conversion. RESULTS: We demonstrated that disrupting the Escherichia coli ammonia assimilation pathways driven by glutamate dehydrogenase and glutamine synthetase could sustain the activity of σ(54)-mediated transcription under ammonia-accumulating conditions. In addition, two σ(54)-dependent promoters, argTp and glnAp2, were identified as suitable candidates for driving pathway expression. Using these promoters, biofuel production from proteins was shown to persist to the stationary phase, with the net production in the stationary phase being 1.7-fold higher than that derived from the optimal reported σ(70)-dependent promoter P(L)lacO(1). Biofuel production reaching levels 1.3- to 3.4-fold higher than those of the σ(70)-dependent promoters was also achieved by argTp and glnAp2 under stressed conditions. Moreover, the σ(54)-dependent promoters realized more rapid and stable production than that of σ(70)-dependent promoters during fed-batch fermentation, producing up to 4.78 g L (− 1) of total biofuels. CONCLUSIONS: These results suggested that the nitrogen-responsive transcriptional machinery offers the potential to decouple production from growth, highlighting this system as a novel candidate to realize growth phase-independent and stress-resistant biofuel production. BioMed Central 2020-02-26 /pmc/articles/PMC7045595/ /pubmed/32127916 http://dx.doi.org/10.1186/s13068-020-1667-5 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.
spellingShingle Research
Ma, Lianjie
Guo, Liwei
Yang, Yunpeng
Guo, Kai
Yan, Yajun
Ma, Xiaoyan
Huo, Yi-Xin
Protein-based biorefining driven by nitrogen-responsive transcriptional machinery
title Protein-based biorefining driven by nitrogen-responsive transcriptional machinery
title_full Protein-based biorefining driven by nitrogen-responsive transcriptional machinery
title_fullStr Protein-based biorefining driven by nitrogen-responsive transcriptional machinery
title_full_unstemmed Protein-based biorefining driven by nitrogen-responsive transcriptional machinery
title_short Protein-based biorefining driven by nitrogen-responsive transcriptional machinery
title_sort protein-based biorefining driven by nitrogen-responsive transcriptional machinery
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7045595/
https://www.ncbi.nlm.nih.gov/pubmed/32127916
http://dx.doi.org/10.1186/s13068-020-1667-5
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