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Discovery of novel amino acid production traits by evolution of synthetic co-cultures

BACKGROUND: Amino acid production features of Corynebacterium glutamicum were extensively studied in the last two decades. Many metabolic pathways, regulatory and transport principles are known, but purely rational approaches often provide only limited progress in production optimization. We recentl...

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Autores principales: Zuchowski, Rico, Schito, Simone, Neuheuser, Friederike, Menke, Philipp, Berger, Daniel, Hollmann, Niels, Gujar, Srushti, Sundermeyer, Lea, Mack, Christina, Wirtz, Astrid, Weiergräber, Oliver H., Polen, Tino, Bott, Michael, Noack, Stephan, Baumgart, Meike
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10105947/
https://www.ncbi.nlm.nih.gov/pubmed/37061714
http://dx.doi.org/10.1186/s12934-023-02078-2
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author Zuchowski, Rico
Schito, Simone
Neuheuser, Friederike
Menke, Philipp
Berger, Daniel
Hollmann, Niels
Gujar, Srushti
Sundermeyer, Lea
Mack, Christina
Wirtz, Astrid
Weiergräber, Oliver H.
Polen, Tino
Bott, Michael
Noack, Stephan
Baumgart, Meike
author_facet Zuchowski, Rico
Schito, Simone
Neuheuser, Friederike
Menke, Philipp
Berger, Daniel
Hollmann, Niels
Gujar, Srushti
Sundermeyer, Lea
Mack, Christina
Wirtz, Astrid
Weiergräber, Oliver H.
Polen, Tino
Bott, Michael
Noack, Stephan
Baumgart, Meike
author_sort Zuchowski, Rico
collection PubMed
description BACKGROUND: Amino acid production features of Corynebacterium glutamicum were extensively studied in the last two decades. Many metabolic pathways, regulatory and transport principles are known, but purely rational approaches often provide only limited progress in production optimization. We recently generated stable synthetic co-cultures, termed Communities of Niche-optimized Strains (CoNoS), that rely on cross-feeding of amino acids for growth. This setup has the potential to evolve strains with improved production by selection of faster growing communities. RESULTS: Here we performed adaptive laboratory evolution (ALE) with a CoNoS to identify mutations that are relevant for amino acid production both in mono- and co-cultures. During ALE with the CoNoS composed of strains auxotrophic for either l-leucine or l-arginine, we obtained a 23% growth rate increase. Via whole-genome sequencing and reverse engineering, we identified several mutations involved in amino acid transport that are beneficial for CoNoS growth. The l-leucine auxotrophic strain carried an expression-promoting mutation in the promoter region of brnQ (cg2537), encoding a branched-chain amino acid transporter in combination with mutations in the genes for the Na(+)/H(+)-antiporter Mrp1 (cg0326-cg0321). This suggested an unexpected link of Mrp1 to l-leucine transport. The l-arginine auxotrophic partner evolved expression-promoting mutations near the transcriptional start site of the yet uncharacterized operon argTUV (cg1504-02). By mutation studies and ITC, we characterized ArgTUV as the only l-arginine uptake system of C. glutamicum with an affinity of K(D) = 30 nM. Finally, deletion of argTUV in an l-arginine producer strain resulted in a faster and 24% higher l-arginine production in comparison to the parental strain. CONCLUSION: Our work demonstrates the power of the CoNoS-approach for evolution-guided identification of non-obvious production traits, which can also advance amino acid production in monocultures. Further rounds of evolution with import-optimized strains can potentially reveal beneficial mutations also in metabolic pathway enzymes. The approach can easily be extended to all kinds of metabolite cross-feeding pairings of different organisms or different strains of the same organism, thereby enabling the identification of relevant transport systems and other favorable mutations. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12934-023-02078-2.
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spelling pubmed-101059472023-04-17 Discovery of novel amino acid production traits by evolution of synthetic co-cultures Zuchowski, Rico Schito, Simone Neuheuser, Friederike Menke, Philipp Berger, Daniel Hollmann, Niels Gujar, Srushti Sundermeyer, Lea Mack, Christina Wirtz, Astrid Weiergräber, Oliver H. Polen, Tino Bott, Michael Noack, Stephan Baumgart, Meike Microb Cell Fact Research BACKGROUND: Amino acid production features of Corynebacterium glutamicum were extensively studied in the last two decades. Many metabolic pathways, regulatory and transport principles are known, but purely rational approaches often provide only limited progress in production optimization. We recently generated stable synthetic co-cultures, termed Communities of Niche-optimized Strains (CoNoS), that rely on cross-feeding of amino acids for growth. This setup has the potential to evolve strains with improved production by selection of faster growing communities. RESULTS: Here we performed adaptive laboratory evolution (ALE) with a CoNoS to identify mutations that are relevant for amino acid production both in mono- and co-cultures. During ALE with the CoNoS composed of strains auxotrophic for either l-leucine or l-arginine, we obtained a 23% growth rate increase. Via whole-genome sequencing and reverse engineering, we identified several mutations involved in amino acid transport that are beneficial for CoNoS growth. The l-leucine auxotrophic strain carried an expression-promoting mutation in the promoter region of brnQ (cg2537), encoding a branched-chain amino acid transporter in combination with mutations in the genes for the Na(+)/H(+)-antiporter Mrp1 (cg0326-cg0321). This suggested an unexpected link of Mrp1 to l-leucine transport. The l-arginine auxotrophic partner evolved expression-promoting mutations near the transcriptional start site of the yet uncharacterized operon argTUV (cg1504-02). By mutation studies and ITC, we characterized ArgTUV as the only l-arginine uptake system of C. glutamicum with an affinity of K(D) = 30 nM. Finally, deletion of argTUV in an l-arginine producer strain resulted in a faster and 24% higher l-arginine production in comparison to the parental strain. CONCLUSION: Our work demonstrates the power of the CoNoS-approach for evolution-guided identification of non-obvious production traits, which can also advance amino acid production in monocultures. Further rounds of evolution with import-optimized strains can potentially reveal beneficial mutations also in metabolic pathway enzymes. The approach can easily be extended to all kinds of metabolite cross-feeding pairings of different organisms or different strains of the same organism, thereby enabling the identification of relevant transport systems and other favorable mutations. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12934-023-02078-2. BioMed Central 2023-04-15 /pmc/articles/PMC10105947/ /pubmed/37061714 http://dx.doi.org/10.1186/s12934-023-02078-2 Text en © The Author(s) 2023 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
Zuchowski, Rico
Schito, Simone
Neuheuser, Friederike
Menke, Philipp
Berger, Daniel
Hollmann, Niels
Gujar, Srushti
Sundermeyer, Lea
Mack, Christina
Wirtz, Astrid
Weiergräber, Oliver H.
Polen, Tino
Bott, Michael
Noack, Stephan
Baumgart, Meike
Discovery of novel amino acid production traits by evolution of synthetic co-cultures
title Discovery of novel amino acid production traits by evolution of synthetic co-cultures
title_full Discovery of novel amino acid production traits by evolution of synthetic co-cultures
title_fullStr Discovery of novel amino acid production traits by evolution of synthetic co-cultures
title_full_unstemmed Discovery of novel amino acid production traits by evolution of synthetic co-cultures
title_short Discovery of novel amino acid production traits by evolution of synthetic co-cultures
title_sort discovery of novel amino acid production traits by evolution of synthetic co-cultures
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10105947/
https://www.ncbi.nlm.nih.gov/pubmed/37061714
http://dx.doi.org/10.1186/s12934-023-02078-2
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