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Development and optimization of a microbial co-culture system for heterologous indigo biosynthesis

BACKGROUND: Indigo is a color molecule with a long history of being used as a textile dye. The conventional production methods are facing increasing economy, sustainability and environmental challenges. Therefore, developing a green synthesis method converting renewable feedstocks to indigo using en...

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Autores principales: Chen, Tingting, Wang, Xiaonan, Zhuang, Lei, Shao, Alan, Lu, Yinghua, Zhang, Haoran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8336371/
https://www.ncbi.nlm.nih.gov/pubmed/34348711
http://dx.doi.org/10.1186/s12934-021-01636-w
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author Chen, Tingting
Wang, Xiaonan
Zhuang, Lei
Shao, Alan
Lu, Yinghua
Zhang, Haoran
author_facet Chen, Tingting
Wang, Xiaonan
Zhuang, Lei
Shao, Alan
Lu, Yinghua
Zhang, Haoran
author_sort Chen, Tingting
collection PubMed
description BACKGROUND: Indigo is a color molecule with a long history of being used as a textile dye. The conventional production methods are facing increasing economy, sustainability and environmental challenges. Therefore, developing a green synthesis method converting renewable feedstocks to indigo using engineered microbes is of great research and application interest. However, the efficiency of the indigo microbial biosynthesis is still low and needs to be improved by proper metabolic engineering strategies. RESULTS: In the present study, we adopted several metabolic engineering strategies to establish an efficient microbial biosynthesis system for converting renewable carbon substrates to indigo. First, a microbial co-culture was developed using two individually engineered E. coli strains to accommodate the indigo biosynthesis pathway, and the balancing of the overall pathway was achieved by manipulating the ratio of co-culture strains harboring different pathway modules. Through carbon source optimization and application of biosensor-assisted cell selection circuit, the indigo production was improved significantly. In addition, the global transcription machinery engineering (gTME) approach was utilized to establish a high-performance co-culture variant to further enhance the indigo production. Through the step-wise modification of the established system, the indigo bioproduction reached 104.3 mg/L, which was 11.4-fold higher than the parental indigo producing strain. CONCLUSION: This work combines modular co-culture engineering, biosensing, and gTME for addressing the challenges of the indigo biosynthesis, which has not been explored before. The findings of this study confirm the effectiveness of the developed approach and offer a new perspective for efficient indigo bioproduction. More broadly, this innovative approach has the potential for wider application in future studies of other valuable biochemicals’ biosynthesis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12934-021-01636-w.
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spelling pubmed-83363712021-08-04 Development and optimization of a microbial co-culture system for heterologous indigo biosynthesis Chen, Tingting Wang, Xiaonan Zhuang, Lei Shao, Alan Lu, Yinghua Zhang, Haoran Microb Cell Fact Research BACKGROUND: Indigo is a color molecule with a long history of being used as a textile dye. The conventional production methods are facing increasing economy, sustainability and environmental challenges. Therefore, developing a green synthesis method converting renewable feedstocks to indigo using engineered microbes is of great research and application interest. However, the efficiency of the indigo microbial biosynthesis is still low and needs to be improved by proper metabolic engineering strategies. RESULTS: In the present study, we adopted several metabolic engineering strategies to establish an efficient microbial biosynthesis system for converting renewable carbon substrates to indigo. First, a microbial co-culture was developed using two individually engineered E. coli strains to accommodate the indigo biosynthesis pathway, and the balancing of the overall pathway was achieved by manipulating the ratio of co-culture strains harboring different pathway modules. Through carbon source optimization and application of biosensor-assisted cell selection circuit, the indigo production was improved significantly. In addition, the global transcription machinery engineering (gTME) approach was utilized to establish a high-performance co-culture variant to further enhance the indigo production. Through the step-wise modification of the established system, the indigo bioproduction reached 104.3 mg/L, which was 11.4-fold higher than the parental indigo producing strain. CONCLUSION: This work combines modular co-culture engineering, biosensing, and gTME for addressing the challenges of the indigo biosynthesis, which has not been explored before. The findings of this study confirm the effectiveness of the developed approach and offer a new perspective for efficient indigo bioproduction. More broadly, this innovative approach has the potential for wider application in future studies of other valuable biochemicals’ biosynthesis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12934-021-01636-w. BioMed Central 2021-08-04 /pmc/articles/PMC8336371/ /pubmed/34348711 http://dx.doi.org/10.1186/s12934-021-01636-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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
Chen, Tingting
Wang, Xiaonan
Zhuang, Lei
Shao, Alan
Lu, Yinghua
Zhang, Haoran
Development and optimization of a microbial co-culture system for heterologous indigo biosynthesis
title Development and optimization of a microbial co-culture system for heterologous indigo biosynthesis
title_full Development and optimization of a microbial co-culture system for heterologous indigo biosynthesis
title_fullStr Development and optimization of a microbial co-culture system for heterologous indigo biosynthesis
title_full_unstemmed Development and optimization of a microbial co-culture system for heterologous indigo biosynthesis
title_short Development and optimization of a microbial co-culture system for heterologous indigo biosynthesis
title_sort development and optimization of a microbial co-culture system for heterologous indigo biosynthesis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8336371/
https://www.ncbi.nlm.nih.gov/pubmed/34348711
http://dx.doi.org/10.1186/s12934-021-01636-w
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