In Vitro Type I Modular Polyketide Synthase Catalysis for New Antibiotics

2018 ◽  
Vol 39 (4) ◽  
pp. 421-422 ◽  
Author(s):  
Ramesh Prasad Pandey ◽  
Jae Kyung Sohng
2014 ◽  
Vol 61 (1) ◽  
Author(s):  
Magdalena Kotowska ◽  
Jarosław Ciekot ◽  
Krzysztof Pawlik

Type II thioesterases were shown to maintain efficiency of modular type I polyketide synthases and nonribosomal peptide synthetases by removing acyl residues blocking extension modules. We found that thioesterase ScoT from Streptomyces coelicolor A3(2) is required for the production of the yellow-pigmented coelimycin by the modular polyketide synthase Cpk. No production of coelimycin was observed in cultures of scoT disruption mutant. Polyketide production was restored upon complementation with an intact copy of the scoT gene. An enzymatic assay showed that ScoT thioesterase can hydrolyse a 12-carbon acyl chain but the activity is too low to play a role in product release from the polyketide synthase. We conclude that ScoT is an editing enzyme necessary to maintain the activity of polyketide synthase Cpk. We provide a HPLC based method to measure the amount of coelimycin P2 in a culture medium.


2018 ◽  
Vol 13 (8) ◽  
pp. 2261-2268 ◽  
Author(s):  
Samuel C. Curran ◽  
Andrew Hagen ◽  
Sean Poust ◽  
Leanne Jade G. Chan ◽  
Brett M. Garabedian ◽  
...  

2017 ◽  
Vol 46 (D1) ◽  
pp. D509-D515 ◽  
Author(s):  
Clara H Eng ◽  
Tyler W H Backman ◽  
Constance B Bailey ◽  
Christophe Magnan ◽  
Héctor García Martín ◽  
...  

2015 ◽  
Vol 6 (8) ◽  
pp. 5076-5085 ◽  
Author(s):  
H. Sucipto ◽  
J. H. Sahner ◽  
E. Prusov ◽  
S. C. Wenzel ◽  
R. W. Hartmann ◽  
...  

α-Pyrone rings exist in many polyketide synthase (PKS) derived natural products. We report the first in vitro reconstitution of α-pyrone ring formation by a type I PKS using chemically synthesized substrates.


2019 ◽  
Author(s):  
Tingyang Li ◽  
Ashootosh Tripathi ◽  
Fengan Yu ◽  
David H. Sherman ◽  
Arvind Rao

AbstractSummaryDDAP is a tool for predicting the biosynthetic pathways of the products of type I modular polyketide synthase (PKS) with the focus on providing a more accurate prediction of the ordering of proteins and substrates in the pathway. In this study, the module docking domain (DD) affinity prediction performance on a hold-out testing data set reached AUC = 0.88; the MRR of pathway prediction reached 0.67. DDAP has advantages compared to previous informatics tools in several aspects: (i) it does not rely on large databases, making it a high efficiency tool, (ii) the predicted DD affinity is represented by a probability (0 to 1), which is more intuitive than raw scores, (iii) its performance is competitive compared to the current popular rule-based algorithm. To the best of our knowledge, DDAP is so far the first machine learning based algorithm for type I PKS pathway prediction. We also established the first database of type I modular PKSs, featuring a comprehensive annotation of available docking domains information in bacterial biosynthetic pathways.Availability and implementationThe DDAP database is available at https://tylii.github.io/ddap. The prediction algorithm DDAP is freely available on GitHub (https://github.com/tylii/ddap) and released under the MIT [email protected]


2020 ◽  
Author(s):  
Edward Kalkreuter ◽  
Kyle S Bingham ◽  
Aaron M Keeler ◽  
Andrew N Lowell ◽  
Jennifer J. Schmidt ◽  
...  

ABSTRACTAcyltransferases (ATs) of modular polyketide synthases catalyze the installation of malonyl-CoA extenders into polyketide scaffolds. Subsequently, AT domains have been targeted extensively to site-selectively introduce various extenders into polyketides. Yet, a complete inventory of AT residues responsible for substrate selection has not been established, critically limiting the efficiency and scope of AT engineering. Here, molecular dynamics simulations were used to prioritize ~50 mutations in the active site of EryAT6 from erythromycin biosynthesis. Following detailed in vitro studies, 13 mutations across 10 residues were identified to significantly impact extender unit selectivity, including nine residues that were previously unassociated with AT specificity. Unique insights gained from the MD studies and the novel EryAT6 mutations led to identification of two previously unexplored structural motifs within the AT active site. Remarkably, exchanging both motifs in EryAT6 with those from ATs with unusual extender specificities provided chimeric PKS modules with expanded and inverted substrate specificity. Our enhanced understanding of AT substrate selectivity and application of this motif-swapping strategy is expected to advance our ability to engineer PKSs towards designer polyketides.


2008 ◽  
Vol 74 (17) ◽  
pp. 5571-5574 ◽  
Author(s):  
Hisayuki Komaki ◽  
Ryosuke Fudou ◽  
Takashi Iizuka ◽  
Daisuke Nakajima ◽  
Koei Okazaki ◽  
...  

ABSTRACT The diversity of type I modular polyketide synthase (PKS) was explored by PCR amplification of DNA encoding ketosynthase and acyltransferase domains in myxobacteria. The sequencing of the amplicons revealed that many PKS genes were distantly related to the published sequences. Thus, myxobacteria may be excellent resources for novel and diverse polyketides.


Author(s):  
Delaney L. Miller ◽  
Eric A. Smith ◽  
Irene L. G. Newton

Fungi are the leading cause of insect disease, contributing to the decline of wild and managed populations1,2. For ecologically and economically critical species, such as the European honey bee (Apis mellifera), the presence and prevalence of fungal pathogens can have far reaching consequences, endangering other species and threatening food security3,4,5. Our ability to address fungal epidemics and opportunistic infections is currently hampered by the limited number of antifungal therapies6,7. Novel antifungal treatments are frequently of bacterial origin and produced by defensive symbionts (bacteria that associate with an animal/plant host and protect against natural enemies 89. Here we examined the capacity of a honey bee-associated bacterium, Bombella apis, to suppress the growth of fungal pathogens and ultimately protect bee brood (larvae and pupae) from infection. Our results showed that strains of B. apis inhibit the growth of two insect fungal pathogens, Beauveria bassiana and Aspergillus flavus, in vitro. This phenotype was recapitulated in vivo; bee brood supplemented with B. apis were significantly less likely to be infected by A. flavus. Additionally, the presence of B. apis reduced sporulation of A. flavus in the few bees that were infected. Analyses of biosynthetic gene clusters across B. apis strains suggest antifungal production via a Type I polyketide synthase. Secreted metabolites from B. apis alone were sufficient to suppress fungal growth, supporting this hypothesis. Together, these data suggest that B. apis protects bee brood from fungal infection by the secretion of an antifungal metabolite. On the basis of this discovery, new antifungal treatments could be developed to mitigate honey bee colony losses, and, in the future, could address fungal epidemics in other species.


2019 ◽  
Author(s):  
Tingyang Li ◽  
Ashootosh Tripathi ◽  
Fengan Yu ◽  
David H Sherman ◽  
Arvind Rao

Abstract Summary DDAP is a tool for predicting the biosynthetic pathways of the products of type I modular polyketide synthase (PKS) with the focus on providing a more accurate prediction of the ordering of proteins and substrates in the pathway. In this study, the module docking domain (DD) affinity prediction performance on a hold-out testing dataset reached 0.88 as measured by the area under the receiver operating characteristic (ROC) curve (AUC); the Mean Reciprocal Ranking (MRR) of pathway prediction reached 0.67. DDAP has advantages compared to previous informatics tools in several aspects: (i) it does not rely on large databases, making it a high efficiency tool, (ii) the predicted DD affinity is represented by a probability (0–1), which is more intuitive than raw scores, (iii) its performance is competitive compared to the current popular rule-based algorithm. DDAP is so far the first machine learning based algorithm for type I PKS DD affinity and pathway prediction. We also established the first database of type I modular PKSs, featuring a comprehensive annotation of available docking domains information in bacterial biosynthetic pathways. Availability and implementation The DDAP database is available at https://tylii.github.io/ddap. The prediction algorithm DDAP is freely available on GitHub (https://github.com/tylii/ddap) and released under the MIT license. Supplementary information Supplementary data are available at Bioinformatics online.


2015 ◽  
Vol 112 (33) ◽  
pp. 10359-10364 ◽  
Author(s):  
Ming Ma ◽  
Jeremy R. Lohman ◽  
Tao Liu ◽  
Ben Shen

Leinamycin (LNM) is a sulfur-containing antitumor antibiotic featuring an unusual 1,3-dioxo-1,2-dithiolane moiety that is spiro-fused to a thiazole-containing 18-membered lactam ring. The 1,3-dioxo-1,2-dithiolane moiety is essential for LNM’s antitumor activity, by virtue of its ability to generate an episulfonium ion intermediate capable of alkylating DNA. We have previously cloned and sequenced the lnm gene cluster from Streptomyces atroolivaceus S-140. In vivo and in vitro characterizations of the LNM biosynthetic machinery have since established that: (i) the 18-membered macrolactam backbone is synthesized by LnmP, LnmQ, LnmJ, LnmI, and LnmG, (ii) the alkyl branch at C-3 of LNM is installed by LnmK, LnmL, LnmM, and LnmF, and (iii) leinamycin E1 (LNM E1), bearing a thiol moiety at C-3, is the nascent product of the LNM hybrid nonribosomal peptide synthetase (NRPS)-acyltransferase (AT)-less type I polyketide synthase (PKS). Sulfur incorporation at C-3 of LNM E1, however, has not been addressed. Here we report that: (i) the bioinformatics analysis reveals a pyridoxal phosphate (PLP)-dependent domain, we termed cysteine lyase (SH) domain (LnmJ-SH), within PKS module-8 of LnmJ; (ii) the LnmJ-SH domain catalyzes C-S bond cleavage by using l-cysteine and l-cysteine S-modified analogs as substrates through a PLP-dependent β-elimination reaction, establishing l-cysteine as the origin of sulfur at C-3 of LNM; and (iii) the LnmJ-SH domain, sharing no sequence homology with any other enzymes catalyzing C-S bond cleavage, represents a new family of PKS domains that expands the chemistry and enzymology of PKSs and might be exploited to incorporate sulfur into polyketide natural products by PKS engineering.


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