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Generation of a platform strain for ionic liquid tolerance using adaptive laboratory evolution

BACKGROUND: There is a need to replace petroleum-derived with sustainable feedstocks for chemical production. Certain biomass feedstocks can meet this need as abundant, diverse, and renewable resources. Specific ionic liquids (ILs) can play a role in this process as promising candidates for chemical...

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Autores principales: Mohamed, Elsayed T., Wang, Shizeng, Lennen, Rebecca M., Herrgård, Markus J., Simmons, Blake A., Singer, Steven W., Feist, Adam M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5691611/
https://www.ncbi.nlm.nih.gov/pubmed/29145855
http://dx.doi.org/10.1186/s12934-017-0819-1
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author Mohamed, Elsayed T.
Wang, Shizeng
Lennen, Rebecca M.
Herrgård, Markus J.
Simmons, Blake A.
Singer, Steven W.
Feist, Adam M.
author_facet Mohamed, Elsayed T.
Wang, Shizeng
Lennen, Rebecca M.
Herrgård, Markus J.
Simmons, Blake A.
Singer, Steven W.
Feist, Adam M.
author_sort Mohamed, Elsayed T.
collection PubMed
description BACKGROUND: There is a need to replace petroleum-derived with sustainable feedstocks for chemical production. Certain biomass feedstocks can meet this need as abundant, diverse, and renewable resources. Specific ionic liquids (ILs) can play a role in this process as promising candidates for chemical pretreatment and deconstruction of plant-based biomass feedstocks as they efficiently release carbohydrates which can be fermented. However, the most efficient pretreatment ILs are highly toxic to biological systems, such as microbial fermentations, and hinder subsequent bioprocessing of fermentative sugars obtained from IL-treated biomass. METHODS: To generate strains capable of tolerating residual ILs present in treated feedstocks, a tolerance adaptive laboratory evolution (TALE) approach was developed and utilized to improve growth of two different Escherichia coli strains, DH1 and K-12 MG1655, in the presence of two different ionic liquids, 1-ethyl-3-methylimidazolium acetate ([C(2)C(1)Im][OAc]) and 1-butyl-3-methylimidazolium chloride ([C(4)C(1)Im]Cl). For multiple parallel replicate populations of E. coli, cells were repeatedly passed to select for improved fitness over the course of approximately 40 days. Clonal isolates were screened and the best performing isolates were subjected to whole genome sequencing. RESULTS: The most prevalent mutations in tolerant clones occurred in transport processes related to the functions of mdtJI, a multidrug efflux pump, and yhdP, an uncharacterized transporter. Additional mutations were enriched in processes such as transcriptional regulation and nucleotide biosynthesis. Finally, the best-performing strains were compared to previously characterized tolerant strains and showed superior performance in tolerance of different IL and media combinations (i.e., cross tolerance) with robust growth at 8.5% (w/v) and detectable growth up to 11.9% (w/v) [C(2)C(1)Im][OAc]. CONCLUSION: The generated strains thus represent the best performing platform strains available for bioproduction utilizing IL-treated renewable substrates, and the TALE method was highly successful in overcoming the general issue of substrate toxicity and has great promise for use in tolerance engineering. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12934-017-0819-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-56916112017-11-24 Generation of a platform strain for ionic liquid tolerance using adaptive laboratory evolution Mohamed, Elsayed T. Wang, Shizeng Lennen, Rebecca M. Herrgård, Markus J. Simmons, Blake A. Singer, Steven W. Feist, Adam M. Microb Cell Fact Research BACKGROUND: There is a need to replace petroleum-derived with sustainable feedstocks for chemical production. Certain biomass feedstocks can meet this need as abundant, diverse, and renewable resources. Specific ionic liquids (ILs) can play a role in this process as promising candidates for chemical pretreatment and deconstruction of plant-based biomass feedstocks as they efficiently release carbohydrates which can be fermented. However, the most efficient pretreatment ILs are highly toxic to biological systems, such as microbial fermentations, and hinder subsequent bioprocessing of fermentative sugars obtained from IL-treated biomass. METHODS: To generate strains capable of tolerating residual ILs present in treated feedstocks, a tolerance adaptive laboratory evolution (TALE) approach was developed and utilized to improve growth of two different Escherichia coli strains, DH1 and K-12 MG1655, in the presence of two different ionic liquids, 1-ethyl-3-methylimidazolium acetate ([C(2)C(1)Im][OAc]) and 1-butyl-3-methylimidazolium chloride ([C(4)C(1)Im]Cl). For multiple parallel replicate populations of E. coli, cells were repeatedly passed to select for improved fitness over the course of approximately 40 days. Clonal isolates were screened and the best performing isolates were subjected to whole genome sequencing. RESULTS: The most prevalent mutations in tolerant clones occurred in transport processes related to the functions of mdtJI, a multidrug efflux pump, and yhdP, an uncharacterized transporter. Additional mutations were enriched in processes such as transcriptional regulation and nucleotide biosynthesis. Finally, the best-performing strains were compared to previously characterized tolerant strains and showed superior performance in tolerance of different IL and media combinations (i.e., cross tolerance) with robust growth at 8.5% (w/v) and detectable growth up to 11.9% (w/v) [C(2)C(1)Im][OAc]. CONCLUSION: The generated strains thus represent the best performing platform strains available for bioproduction utilizing IL-treated renewable substrates, and the TALE method was highly successful in overcoming the general issue of substrate toxicity and has great promise for use in tolerance engineering. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12934-017-0819-1) contains supplementary material, which is available to authorized users. BioMed Central 2017-11-16 /pmc/articles/PMC5691611/ /pubmed/29145855 http://dx.doi.org/10.1186/s12934-017-0819-1 Text en © The Author(s) 2017 Open AccessThis 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.
spellingShingle Research
Mohamed, Elsayed T.
Wang, Shizeng
Lennen, Rebecca M.
Herrgård, Markus J.
Simmons, Blake A.
Singer, Steven W.
Feist, Adam M.
Generation of a platform strain for ionic liquid tolerance using adaptive laboratory evolution
title Generation of a platform strain for ionic liquid tolerance using adaptive laboratory evolution
title_full Generation of a platform strain for ionic liquid tolerance using adaptive laboratory evolution
title_fullStr Generation of a platform strain for ionic liquid tolerance using adaptive laboratory evolution
title_full_unstemmed Generation of a platform strain for ionic liquid tolerance using adaptive laboratory evolution
title_short Generation of a platform strain for ionic liquid tolerance using adaptive laboratory evolution
title_sort generation of a platform strain for ionic liquid tolerance using adaptive laboratory evolution
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5691611/
https://www.ncbi.nlm.nih.gov/pubmed/29145855
http://dx.doi.org/10.1186/s12934-017-0819-1
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