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Accelerated strain construction and characterization of C. glutamicum protein secretion by laboratory automation

ABSTRACT: Secretion of bacterial proteins into the culture medium simplifies downstream processing by avoiding cell disruption for target protein purification. However, a suitable signal peptide for efficient secretion needs to be identified, and currently, there are no tools available to predict op...

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Autores principales: Müller, Carolin, Bakkes, Patrick J., Lenz, Patrick, Waffenschmidt, Vera, Helleckes, Laura M., Jaeger, Karl-Erich, Wiechert, Wolfgang, Knapp, Andreas, Freudl, Roland, Oldiges, Marco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9259529/
https://www.ncbi.nlm.nih.gov/pubmed/35759036
http://dx.doi.org/10.1007/s00253-022-12017-7
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author Müller, Carolin
Bakkes, Patrick J.
Lenz, Patrick
Waffenschmidt, Vera
Helleckes, Laura M.
Jaeger, Karl-Erich
Wiechert, Wolfgang
Knapp, Andreas
Freudl, Roland
Oldiges, Marco
author_facet Müller, Carolin
Bakkes, Patrick J.
Lenz, Patrick
Waffenschmidt, Vera
Helleckes, Laura M.
Jaeger, Karl-Erich
Wiechert, Wolfgang
Knapp, Andreas
Freudl, Roland
Oldiges, Marco
author_sort Müller, Carolin
collection PubMed
description ABSTRACT: Secretion of bacterial proteins into the culture medium simplifies downstream processing by avoiding cell disruption for target protein purification. However, a suitable signal peptide for efficient secretion needs to be identified, and currently, there are no tools available to predict optimal combinations of signal peptides and target proteins. The selection of such a combination is influenced by several factors, including protein biosynthesis efficiency and cultivation conditions, which both can have a significant impact on secretion performance. As a result, a large number of combinations must be tested. Therefore, we have developed automated workflows allowing for targeted strain construction and secretion screening using two platforms. Key advantages of this experimental setup include lowered hands-on time and increased throughput. In this study, the automated workflows were established for the heterologous production of Fusarium solani f. sp. pisi cutinase in Corynebacterium glutamicum. The target protein was monitored in culture supernatants via enzymatic activity and split GFP assay. Varying spacer lengths between the Shine-Dalgarno sequence and the start codon of Bacillus subtilis signal peptides were tested. Consistent with previous work on the secretory cutinase production in B. subtilis, a ribosome binding site with extended spacer length to up to 12 nt, which likely slows down translation initiation, does not necessarily lead to poorer cutinase secretion by C. glutamicum. The best performing signal peptides for cutinase secretion with a standard spacer length were identified in a signal peptide screening. Additional insights into the secretion process were gained by monitoring secretion stress using the C. glutamicum K9 biosensor strain. KEY POINTS: • Automated workflows for strain construction and screening of protein secretion • Comparison of spacer, signal peptide, and host combinations for cutinase secretion • Signal peptide screening for secretion by C. glutamicum using the split GFP assay SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00253-022-12017-7.
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spelling pubmed-92595292022-07-08 Accelerated strain construction and characterization of C. glutamicum protein secretion by laboratory automation Müller, Carolin Bakkes, Patrick J. Lenz, Patrick Waffenschmidt, Vera Helleckes, Laura M. Jaeger, Karl-Erich Wiechert, Wolfgang Knapp, Andreas Freudl, Roland Oldiges, Marco Appl Microbiol Biotechnol Biotechnological Products and Process Engineering ABSTRACT: Secretion of bacterial proteins into the culture medium simplifies downstream processing by avoiding cell disruption for target protein purification. However, a suitable signal peptide for efficient secretion needs to be identified, and currently, there are no tools available to predict optimal combinations of signal peptides and target proteins. The selection of such a combination is influenced by several factors, including protein biosynthesis efficiency and cultivation conditions, which both can have a significant impact on secretion performance. As a result, a large number of combinations must be tested. Therefore, we have developed automated workflows allowing for targeted strain construction and secretion screening using two platforms. Key advantages of this experimental setup include lowered hands-on time and increased throughput. In this study, the automated workflows were established for the heterologous production of Fusarium solani f. sp. pisi cutinase in Corynebacterium glutamicum. The target protein was monitored in culture supernatants via enzymatic activity and split GFP assay. Varying spacer lengths between the Shine-Dalgarno sequence and the start codon of Bacillus subtilis signal peptides were tested. Consistent with previous work on the secretory cutinase production in B. subtilis, a ribosome binding site with extended spacer length to up to 12 nt, which likely slows down translation initiation, does not necessarily lead to poorer cutinase secretion by C. glutamicum. The best performing signal peptides for cutinase secretion with a standard spacer length were identified in a signal peptide screening. Additional insights into the secretion process were gained by monitoring secretion stress using the C. glutamicum K9 biosensor strain. KEY POINTS: • Automated workflows for strain construction and screening of protein secretion • Comparison of spacer, signal peptide, and host combinations for cutinase secretion • Signal peptide screening for secretion by C. glutamicum using the split GFP assay SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00253-022-12017-7. Springer Berlin Heidelberg 2022-06-27 2022 /pmc/articles/PMC9259529/ /pubmed/35759036 http://dx.doi.org/10.1007/s00253-022-12017-7 Text en © The Author(s) 2022 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/) .
spellingShingle Biotechnological Products and Process Engineering
Müller, Carolin
Bakkes, Patrick J.
Lenz, Patrick
Waffenschmidt, Vera
Helleckes, Laura M.
Jaeger, Karl-Erich
Wiechert, Wolfgang
Knapp, Andreas
Freudl, Roland
Oldiges, Marco
Accelerated strain construction and characterization of C. glutamicum protein secretion by laboratory automation
title Accelerated strain construction and characterization of C. glutamicum protein secretion by laboratory automation
title_full Accelerated strain construction and characterization of C. glutamicum protein secretion by laboratory automation
title_fullStr Accelerated strain construction and characterization of C. glutamicum protein secretion by laboratory automation
title_full_unstemmed Accelerated strain construction and characterization of C. glutamicum protein secretion by laboratory automation
title_short Accelerated strain construction and characterization of C. glutamicum protein secretion by laboratory automation
title_sort accelerated strain construction and characterization of c. glutamicum protein secretion by laboratory automation
topic Biotechnological Products and Process Engineering
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9259529/
https://www.ncbi.nlm.nih.gov/pubmed/35759036
http://dx.doi.org/10.1007/s00253-022-12017-7
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