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...
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Published in | Nature communications Vol. 14; no. 1; p. 4871 |
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Main Authors | , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
London
Nature Publishing Group UK
12.08.2023
Nature Publishing Group Nature Portfolio |
Subjects | |
Online Access | Get full text |
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Summary: | 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.
Engineering polyketide synthases can be challenging due to the absence of efficient high-throughput methods. Here, the authors used a solubility biosensor to identify stable variants from libraries of modified polyketide synthases. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 USDOE Office of Science (SC), Basic Energy Sciences (BES). Scientific User Facilities (SUF) USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) National Science Foundation (NSF) AC02-05CH11231; 2036849 USDOE Office of Science (SC), Biological and Environmental Research (BER) |
ISSN: | 2041-1723 2041-1723 |
DOI: | 10.1038/s41467-023-40464-x |