TY - JOUR
T1 - Substrate Sequence Controls Regioselectivity of Lanthionine Formation by ProcM
AU - Le, Tung
AU - Jeanne Dit Fouque, Kevin
AU - Santos-Fernandez, Miguel
AU - Navo, Claudio D.
AU - Jiménez-Osés, Gonzalo
AU - Sarksian, Raymond
AU - Fernandez-Lima, Francisco Alberto
AU - Van Der Donk, Wilfred A.
N1 - Funding Information:
We dedicate this study to the memory of Prof. Dan Tawfik (Weizmann Institute of Science) and fondly remember the stimulating discussions with him regarding the prochlorosins. We thank Dr. Alex V. Ulanov (Carver Biotechnology Center at UIUC) for help with the GC-MS experiments. This work was funded by the National Institutes of Health (R37 GM058822 to W.A.V.), the National Science Foundation Division of Chemistry (under CAREER award CHE-1654274 to F.F.L.) with cofunding from the Division of Molecular and Cellular Biosciences, the Agencia Estatal Investigación of Spain (AEI; Grant RTI2018-099592–B-C22 to G.J.O.), and Severo Ochoa Excellence Accreditation (SEV-2016-0644 to CIC bioGUNE).
Publisher Copyright:
©
PY - 2021/11/10
Y1 - 2021/11/10
N2 - Lanthipeptides belong to the family of ribosomally synthesized and post-translationally modified peptides (RiPPs). The (methyl)lanthionine cross-links characteristic to lanthipeptides are essential for their stability and bioactivities. In most bacteria, lanthipeptides are maturated from single precursor peptides encoded in the corresponding biosynthetic gene clusters. However, cyanobacteria engage in combinatorial biosynthesis and encode as many as 80 substrate peptides with highly diverse sequences that are modified by a single lanthionine synthetase into lanthipeptides of different lengths and ring patterns. It is puzzling how a single enzyme could exert control over the cyclization processes of such a wide range of substrates. Here, we used a library of ProcA3.3 precursor peptide variants and show that it is not the enzyme ProcM but rather its substrate sequences that determine the regioselectivity of lanthionine formation. We also demonstrate the utility of trapped ion mobility spectrometry-tandem mass spectrometry (TIMS-MS/MS) as a fast and convenient method to efficiently separate lanthipeptide constitutional isomers, particularly in cases where the isomers cannot be resolved by conventional liquid chromatography. Our data allowed identification of factors that are important for the cyclization outcome, but also showed that there are no easily identifiable predictive rules for all sequences. Our findings provide a platform for future deep learning approaches to allow such prediction of ring patterns of products of combinatorial biosynthesis.
AB - Lanthipeptides belong to the family of ribosomally synthesized and post-translationally modified peptides (RiPPs). The (methyl)lanthionine cross-links characteristic to lanthipeptides are essential for their stability and bioactivities. In most bacteria, lanthipeptides are maturated from single precursor peptides encoded in the corresponding biosynthetic gene clusters. However, cyanobacteria engage in combinatorial biosynthesis and encode as many as 80 substrate peptides with highly diverse sequences that are modified by a single lanthionine synthetase into lanthipeptides of different lengths and ring patterns. It is puzzling how a single enzyme could exert control over the cyclization processes of such a wide range of substrates. Here, we used a library of ProcA3.3 precursor peptide variants and show that it is not the enzyme ProcM but rather its substrate sequences that determine the regioselectivity of lanthionine formation. We also demonstrate the utility of trapped ion mobility spectrometry-tandem mass spectrometry (TIMS-MS/MS) as a fast and convenient method to efficiently separate lanthipeptide constitutional isomers, particularly in cases where the isomers cannot be resolved by conventional liquid chromatography. Our data allowed identification of factors that are important for the cyclization outcome, but also showed that there are no easily identifiable predictive rules for all sequences. Our findings provide a platform for future deep learning approaches to allow such prediction of ring patterns of products of combinatorial biosynthesis.
UR - http://www.scopus.com/inward/record.url?scp=85119267934&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85119267934&partnerID=8YFLogxK
U2 - 10.1021/jacs.1c09370
DO - 10.1021/jacs.1c09370
M3 - Article
C2 - 34724611
AN - SCOPUS:85119267934
SN - 0002-7863
VL - 143
SP - 18733
EP - 18743
JO - Journal of the American Chemical Society
JF - Journal of the American Chemical Society
IS - 44
ER -