Global analysis of prokaryotic tRNA-derived cyclodipeptide biosynthesis

Abstract Background Among naturally occurring small molecules, tRNA-derived cyclodipeptides are a class that have attracted attention for their diverse and desirable biological activities. However, no tools are available to link cyclodipeptide synthases identified within prokaryotic genome sequences...

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Main Authors: Michael A. Skinnider, Chad W. Johnston, Nishanth J. Merwin, Chris A. Dejong, Nathan A. Magarvey
Format: Article
Language:English
Published: BMC 2018-01-01
Series:BMC Genomics
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12864-018-4435-1
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author Michael A. Skinnider
Chad W. Johnston
Nishanth J. Merwin
Chris A. Dejong
Nathan A. Magarvey
author_facet Michael A. Skinnider
Chad W. Johnston
Nishanth J. Merwin
Chris A. Dejong
Nathan A. Magarvey
author_sort Michael A. Skinnider
collection DOAJ
description Abstract Background Among naturally occurring small molecules, tRNA-derived cyclodipeptides are a class that have attracted attention for their diverse and desirable biological activities. However, no tools are available to link cyclodipeptide synthases identified within prokaryotic genome sequences to their chemical products. Consequently, it is unclear how many genetically encoded cyclodipeptides represent novel products, and which producing organisms should be targeted for discovery. Results We developed a pipeline for identification and classification of cyclodipeptide biosynthetic gene clusters and prediction of aminoacyl-tRNA substrates and complete chemical structures. We leveraged this tool to conduct a global analysis of tRNA-derived cyclodipeptide biosynthesis in 93,107 prokaryotic genomes, and compared predicted cyclodipeptides to known cyclodipeptide synthase products and all known chemically characterized cyclodipeptides. By integrating predicted chemical structures and gene cluster architectures, we created a unified map of known and unknown genetically encoded cyclodipeptides. Conclusions Our analysis suggests that sizeable regions of the chemical space encoded within sequenced prokaryotic genomes remain unexplored. Our map of the landscape of genetically encoded cyclodipeptides provides candidates for targeted discovery of novel compounds. The integration of our pipeline into a user-friendly web application provides a resource for further discovery of cyclodipeptides in newly sequenced prokaryotic genomes.
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spelling doaj.art-4161aa238ce542d18449758c8ca3706a2022-12-21T18:57:20ZengBMCBMC Genomics1471-21642018-01-0119111110.1186/s12864-018-4435-1Global analysis of prokaryotic tRNA-derived cyclodipeptide biosynthesisMichael A. Skinnider0Chad W. Johnston1Nishanth J. Merwin2Chris A. Dejong3Nathan A. Magarvey4Department of Biochemistry and Biomedical Sciences, Michael G. DeGroote Institute for Infectious Disease Research, McMaster UniversityDepartment of Biochemistry and Biomedical Sciences, Michael G. DeGroote Institute for Infectious Disease Research, McMaster UniversityDepartment of Biochemistry and Biomedical Sciences, Michael G. DeGroote Institute for Infectious Disease Research, McMaster UniversityDepartment of Biochemistry and Biomedical Sciences, Michael G. DeGroote Institute for Infectious Disease Research, McMaster UniversityDepartment of Biochemistry and Biomedical Sciences, Michael G. DeGroote Institute for Infectious Disease Research, McMaster UniversityAbstract Background Among naturally occurring small molecules, tRNA-derived cyclodipeptides are a class that have attracted attention for their diverse and desirable biological activities. However, no tools are available to link cyclodipeptide synthases identified within prokaryotic genome sequences to their chemical products. Consequently, it is unclear how many genetically encoded cyclodipeptides represent novel products, and which producing organisms should be targeted for discovery. Results We developed a pipeline for identification and classification of cyclodipeptide biosynthetic gene clusters and prediction of aminoacyl-tRNA substrates and complete chemical structures. We leveraged this tool to conduct a global analysis of tRNA-derived cyclodipeptide biosynthesis in 93,107 prokaryotic genomes, and compared predicted cyclodipeptides to known cyclodipeptide synthase products and all known chemically characterized cyclodipeptides. By integrating predicted chemical structures and gene cluster architectures, we created a unified map of known and unknown genetically encoded cyclodipeptides. Conclusions Our analysis suggests that sizeable regions of the chemical space encoded within sequenced prokaryotic genomes remain unexplored. Our map of the landscape of genetically encoded cyclodipeptides provides candidates for targeted discovery of novel compounds. The integration of our pipeline into a user-friendly web application provides a resource for further discovery of cyclodipeptides in newly sequenced prokaryotic genomes.http://link.springer.com/article/10.1186/s12864-018-4435-1Cyclodipeptide synthaseGenome miningSecondary metabolism
spellingShingle Michael A. Skinnider
Chad W. Johnston
Nishanth J. Merwin
Chris A. Dejong
Nathan A. Magarvey
Global analysis of prokaryotic tRNA-derived cyclodipeptide biosynthesis
BMC Genomics
Cyclodipeptide synthase
Genome mining
Secondary metabolism
title Global analysis of prokaryotic tRNA-derived cyclodipeptide biosynthesis
title_full Global analysis of prokaryotic tRNA-derived cyclodipeptide biosynthesis
title_fullStr Global analysis of prokaryotic tRNA-derived cyclodipeptide biosynthesis
title_full_unstemmed Global analysis of prokaryotic tRNA-derived cyclodipeptide biosynthesis
title_short Global analysis of prokaryotic tRNA-derived cyclodipeptide biosynthesis
title_sort global analysis of prokaryotic trna derived cyclodipeptide biosynthesis
topic Cyclodipeptide synthase
Genome mining
Secondary metabolism
url http://link.springer.com/article/10.1186/s12864-018-4435-1
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