Non-ribosomal peptide synthetase (NRPS) enzymes form modular assembly-lines, wherein each module governs the incorporation of a specific monomer into a short peptide product. Modules are comprised of one or more key domains, including adenylation (A) domains, which recognise and activate the monomer substrate; condensation (C) domains, which catalyse amide bond formation; and thiolation (T) domains, which shuttle reaction intermediates between catalytic domains. This arrangement offers prospects for rational peptide modification via substitution of substrate-specifying domains. For over 20 years, it has been considered that C domains play key roles in proof-reading the substrate; a presumption that has greatly complicated rational NRPS redesign. Here we present evidence from both directed and natural evolution studies that any substrate-specifying role for C domains is likely to be the exception rather than the rule, and that novel non-ribosomal peptides can be generated by substitution of A domains alone. We identify permissive A domain recombination boundaries and show that these allow us to efficiently generate modified pyoverdine peptides at high yields. We further demonstrate the transferability of our approach in the PheATE-ProCAT model system originally used to infer C domain substrate specificity, generating modified dipeptide products at yields that are inconsistent with the prevailing dogma. Non-ribosomal peptide synthases are multimodular enzymes comprised of adenylation (A), condensation (C) and thiolation domains. Here, the authors show that non-ribosomal peptides can be generated solely by A domain substitutions, providing evidence that the postulated substrate specifying role of C-domains may be rare in nature.
Efficient rational modification of non-ribosomal peptides by adenylation domain substitution
M. Calcott,J. Owen,D. Ackerley
Published 2020 in Nature Communications
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- Publication year
2020
- Venue
Nature Communications
- Publication date
2020-03-02
- Fields of study
Biology, Medicine, Chemistry
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- Source metadata
Semantic Scholar, PubMed
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