Biosensor Guided Polyketide Synthases Engineering for Optimization of Domain Exchange Boundaries

  • Elias Englund
  • , Matthias Schmidt
  • , Alberto A. Nava
  • , Sarah Klass
  • , Leah Keiser
  • , Qingyun Dan
  • , Leonard Katz
  • , Satoshi Yuzawa
  • , Jay D. Keasling*
  • *Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

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Abstract

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.

Original languageEnglish
Article number4871
JournalNature Communications
Volume14
Number of pages12
ISSN2041-1723
DOIs
Publication statusPublished - 2023

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