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Biosensor Guided Polyketide Synthases Engineering for Optimization of Domain Exchange Boundaries
Type I modular polyketide synthases (PKSs) are multi-domain enzymes functioning like assembly lines. Many engineering attempts have been made for the last three decades to replace, delete and insert new functional domains into PKSs to produce novel molecules. However, inserting heterologous domains...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10423236/ https://www.ncbi.nlm.nih.gov/pubmed/37573440 http://dx.doi.org/10.1038/s41467-023-40464-x |
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author | Englund, Elias Schmidt, Matthias Nava, Alberto A. Klass, Sarah Keiser, Leah Dan, Qingyun Katz, Leonard Yuzawa, Satoshi Keasling, Jay D. |
author_facet | Englund, Elias Schmidt, Matthias Nava, Alberto A. Klass, Sarah Keiser, Leah Dan, Qingyun Katz, Leonard Yuzawa, Satoshi Keasling, Jay D. |
author_sort | Englund, Elias |
collection | PubMed |
description | Type I modular polyketide synthases (PKSs) are multi-domain enzymes functioning like assembly lines. Many engineering attempts have been made for the last three decades to replace, delete and insert new functional domains into PKSs to produce novel molecules. However, inserting heterologous domains often destabilize PKSs, causing loss of activity and protein misfolding. To address this challenge, here we develop a fluorescence-based solubility biosensor that can quickly identify engineered PKSs variants with minimal structural disruptions. Using this biosensor, we screen a library of acyltransferase (AT)-exchanged PKS hybrids with randomly assigned domain boundaries, and we identify variants that maintain wild type production levels. We then probe each position in the AT linker region to determine how domain boundaries influence structural integrity and identify a set of optimized domain boundaries. Overall, we have successfully developed an experimentally validated, high-throughput method for making hybrid PKSs that produce novel molecules. |
format | Online Article Text |
id | pubmed-10423236 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-104232362023-08-14 Biosensor Guided Polyketide Synthases Engineering for Optimization of Domain Exchange Boundaries Englund, Elias Schmidt, Matthias Nava, Alberto A. Klass, Sarah Keiser, Leah Dan, Qingyun Katz, Leonard Yuzawa, Satoshi Keasling, Jay D. Nat Commun Article Type I modular polyketide synthases (PKSs) are multi-domain enzymes functioning like assembly lines. Many engineering attempts have been made for the last three decades to replace, delete and insert new functional domains into PKSs to produce novel molecules. However, inserting heterologous domains often destabilize PKSs, causing loss of activity and protein misfolding. To address this challenge, here we develop a fluorescence-based solubility biosensor that can quickly identify engineered PKSs variants with minimal structural disruptions. Using this biosensor, we screen a library of acyltransferase (AT)-exchanged PKS hybrids with randomly assigned domain boundaries, and we identify variants that maintain wild type production levels. We then probe each position in the AT linker region to determine how domain boundaries influence structural integrity and identify a set of optimized domain boundaries. Overall, we have successfully developed an experimentally validated, high-throughput method for making hybrid PKSs that produce novel molecules. Nature Publishing Group UK 2023-08-12 /pmc/articles/PMC10423236/ /pubmed/37573440 http://dx.doi.org/10.1038/s41467-023-40464-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 | Article Englund, Elias Schmidt, Matthias Nava, Alberto A. Klass, Sarah Keiser, Leah Dan, Qingyun Katz, Leonard Yuzawa, Satoshi Keasling, Jay D. Biosensor Guided Polyketide Synthases Engineering for Optimization of Domain Exchange Boundaries |
title | Biosensor Guided Polyketide Synthases Engineering for Optimization of Domain Exchange Boundaries |
title_full | Biosensor Guided Polyketide Synthases Engineering for Optimization of Domain Exchange Boundaries |
title_fullStr | Biosensor Guided Polyketide Synthases Engineering for Optimization of Domain Exchange Boundaries |
title_full_unstemmed | Biosensor Guided Polyketide Synthases Engineering for Optimization of Domain Exchange Boundaries |
title_short | Biosensor Guided Polyketide Synthases Engineering for Optimization of Domain Exchange Boundaries |
title_sort | biosensor guided polyketide synthases engineering for optimization of domain exchange boundaries |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10423236/ https://www.ncbi.nlm.nih.gov/pubmed/37573440 http://dx.doi.org/10.1038/s41467-023-40464-x |
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