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Lecture 1: Methods for in silico analysis of cryptic natural product biosynthetic gene clusters. Microbial Genomics and Secondary Metabolites Summer School, MedILS, Split, Croatia, 25-29 June 2007. Greg Challis Department of Chemistry. Overview. Introduction
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Lecture 1: Methods for in silico analysis of cryptic natural product biosynthetic gene clusters Microbial Genomics and Secondary Metabolites Summer School, MedILS, Split, Croatia, 25-29 June 2007 Greg Challis Department of Chemistry
Overview • Introduction • cryptic (orphan) gene clusters in microbial genomes • Clusters encoding nonribosomal peptide synthetases (NRPSs) • domains, modules,substrate specificity, predicting products • Clusters encoding modular polyketide synthases (PKSs) • domains, modules, substrate specificity, predicting products • Clusters encoding other biosynthetic systems • terpene synthases, iterative PKSs
‘Cryptic’ (orphan) biosynthetic gene clusters • Present in many of the 300 or so sequenced microbial genomes • e.g. Streptomyces avermitilis • Streptomyces coelicolor • Bacillus subtilis • Pseudomonas fluorescens • Pseudomonas syringae • Nostoc punctiforme • Aspergillus nidulans • Polyketide synthases • Nonribosomal peptide • synthetases • Terpene synthases • May prove a valuable new source of bioactive metabolites
Genome sequence of the model antibiotic-producer Streptomyces coelicolor M145
Gene clusters directing complex metabolite biosynthesis in the S. coelicolor genome Bentley et al. Nature (2002) 417, 141-147
Recap of NRPS organisation and function: the gramicidin S synthetase as an example grsT grsA grsB synthetase 1 synthetase 2 module 2 module 4 module 1 module 3 module 5 A E C A C A C A C A TE PCP PCP PCP PCP PCP A = Adenylation PCP = peptidyl carrier protein C = Condensation E = Epimerisation TE = Thioesterase
Recap of NRPS organisation and function: the gramicidin S synthetase as an example TE PCP TE For further information see Lars Robbel’s poster
Nonribosomal peptide synthetases encoded by the S. coelicolor genome
A new S. coelicolor NRPS gene cluster cchI cchJ cchH cchB cchA Non-ribosomal peptide synthetase (cchH) MbtH-like protein (cchK) Flavin-dependent monooxygenase (cchB) Formyl-tetrahydrofolate-dependent formyl transferase (cchA) Esterase (cchJ) Export functions Ferric-siderophore import Challis and Ravel FEMS Microbiol. Lett. (2000) 187, 111-114
Deduced domain and module organization Prediction of domain and module structure Conserved Domain (CD) search (http://www.ncbi.nlm.nih.gov/Structure/cdd/wrpsb.cgi)
GrsADASVWEMFMALLTGASLYIILKDTINDFVKFEQYINQKEITVITLPPTYVVHL-----DPERILSIQTLITAGSATSPSLVNKWKEK--VTYINAYGPTETTIGrsADASVWEMFMALLTGASLYIILKDTINDFVKFEQYINQKEITVITLPPTYVVHL-----DPERILSIQTLITAGSATSPSLVNKWKEK--VTYINAYGPTETTI Ncs1-M1DIAVWELLAAFVGGARLVIAEHRLRGVVPHLPELMTDHRVTVAHFVPSVLEELLGWMADGGRVG-LRLVVCGGEAVPPSQRDRLLALSGARMVHAYGPTETTI GrsA D A W T I A A I Ncs1-M1 D I W H V G A I Prediction of A-domain selectivity pocket residues Stachelhaus, Mootz and Marahiel Chem. Biol. (1999) 6, 493-505 Challis, Ravel and Townsend Chem. Biol. (2000) 7, 211-224
Empirical correlation between specificity pocket residues and substrate Challis, Ravel and Townsend Chem. Biol. (2000) 7, 211-224
Prediction of substrates and possible products for the S. coelicolor cryptic NRPS Challis and Ravel FEMS Microbiol. Lett. (2000) 187, 111-114
Recap of modular PKS organisation and function: the erythromycin synthase as an example • Three large modular enzymes (DEBS 1-3), encoded by eryAI, eryAII, and eryAIII, assemble 6-DEB • Each module performs one chain extension
-CO2 Recap of modular PKS organisation and function: the erythromycin synthase as an example
Recap of modular PKS organisation and function: the erythromycin synthase as an example • Three large modular enzymes (DEBS 1-3), encoded by eryAI, eryAII, and eryAIII, assemble 6-DEB • Each module performs one chain extension
Gene clusters directing complex metabolite biosynthesis in the S. coelicolor genome Bentley et al. Nature (2002) 417, 141-147
A new S. coelicolor modular PKS cluster Genes encoding a modular PKS
Prediction of domain and modules in CpkA Conserved Domain (CD) search (http://www.ncbi.nlm.nih.gov/Structure/cdd/wrpsb.cgi)
Prediction of domains and modules in CpkABC Pawlik, Kotowska, Chater, Kuczek and Takano Arch. Microbiol. (2007) 187, 87-99
Prediction of AT domain substrate selectivity Haydock et al.FEBS Lett. (1995) 374, 246-248 Banskota et al. J. Antibiot. (2006) 59, 168-176
Prediction of KR domain stereoselectivity Caffrey ChemBioChem (2003) 4, 654-657 Reid et al. Biochemistry (2003) 42, 72-79
Prediction of substrates and possible products for the S. coelicolor cryptic PKS
Non-linear enzymatic logic can complicate things! Haynes and Challis, Curr. Op. Drug Discov. Develop. (2007) 10, 203-218
Non-linear enzymatic logic can complicate things! Haynes and Challis, Curr. Op. Drug Discov. Develop. (2007) 10, 203-218
Conclusions • Reasonably confident in silico predictions of domain / module organisation and substrate specificity of modular PKS / NRPS can be made • Non-linear enzymatic logic can complicate the reliable prediction of product structure(s) • For other types of biosynthetic system, reasonably confident predictions of substrate specificity can sometimes be made • Prediction of chain length and substrate specificity in some iterative PKS systems, especially type III and fungal type I, remains difficult