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Comparative genomics reveals phylogenetic distribution patterns of secondary metabolites in Amycolatopsis species

BACKGROUND: Genome mining tools have enabled us to predict biosynthetic gene clusters that might encode compounds with valuable functions for industrial and medical applications. With the continuously increasing number of genomes sequenced, we are confronted with an overwhelming number of predicted...

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Autores principales: Adamek, Martina, Alanjary, Mohammad, Sales-Ortells, Helena, Goodfellow, Michael, Bull, Alan T., Winkler, Anika, Wibberg, Daniel, Kalinowski, Jörn, Ziemert, Nadine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5984834/
https://www.ncbi.nlm.nih.gov/pubmed/29859036
http://dx.doi.org/10.1186/s12864-018-4809-4
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author Adamek, Martina
Alanjary, Mohammad
Sales-Ortells, Helena
Goodfellow, Michael
Bull, Alan T.
Winkler, Anika
Wibberg, Daniel
Kalinowski, Jörn
Ziemert, Nadine
author_facet Adamek, Martina
Alanjary, Mohammad
Sales-Ortells, Helena
Goodfellow, Michael
Bull, Alan T.
Winkler, Anika
Wibberg, Daniel
Kalinowski, Jörn
Ziemert, Nadine
author_sort Adamek, Martina
collection PubMed
description BACKGROUND: Genome mining tools have enabled us to predict biosynthetic gene clusters that might encode compounds with valuable functions for industrial and medical applications. With the continuously increasing number of genomes sequenced, we are confronted with an overwhelming number of predicted clusters. In order to guide the effective prioritization of biosynthetic gene clusters towards finding the most promising compounds, knowledge about diversity, phylogenetic relationships and distribution patterns of biosynthetic gene clusters is necessary. RESULTS: Here, we provide a comprehensive analysis of the model actinobacterial genus Amycolatopsis and its potential for the production of secondary metabolites. A phylogenetic characterization, together with a pan-genome analysis showed that within this highly diverse genus, four major lineages could be distinguished which differed in their potential to produce secondary metabolites. Furthermore, we were able to distinguish gene cluster families whose distribution correlated with phylogeny, indicating that vertical gene transfer plays a major role in the evolution of secondary metabolite gene clusters. Still, the vast majority of the diverse biosynthetic gene clusters were derived from clusters unique to the genus, and also unique in comparison to a database of known compounds. Our study on the locations of biosynthetic gene clusters in the genomes of Amycolatopsis’ strains showed that clusters acquired by horizontal gene transfer tend to be incorporated into non-conserved regions of the genome thereby allowing us to distinguish core and hypervariable regions in Amycolatopsis genomes. CONCLUSIONS: Using a comparative genomics approach, it was possible to determine the potential of the genus Amycolatopsis to produce a huge diversity of secondary metabolites. Furthermore, the analysis demonstrates that horizontal and vertical gene transfer play an important role in the acquisition and maintenance of valuable secondary metabolites. Our results cast light on the interconnections between secondary metabolite gene clusters and provide a way to prioritize biosynthetic pathways in the search and discovery of novel compounds. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-4809-4) contains supplementary material, which is available to authorized users.
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spelling pubmed-59848342018-06-07 Comparative genomics reveals phylogenetic distribution patterns of secondary metabolites in Amycolatopsis species Adamek, Martina Alanjary, Mohammad Sales-Ortells, Helena Goodfellow, Michael Bull, Alan T. Winkler, Anika Wibberg, Daniel Kalinowski, Jörn Ziemert, Nadine BMC Genomics Research Article BACKGROUND: Genome mining tools have enabled us to predict biosynthetic gene clusters that might encode compounds with valuable functions for industrial and medical applications. With the continuously increasing number of genomes sequenced, we are confronted with an overwhelming number of predicted clusters. In order to guide the effective prioritization of biosynthetic gene clusters towards finding the most promising compounds, knowledge about diversity, phylogenetic relationships and distribution patterns of biosynthetic gene clusters is necessary. RESULTS: Here, we provide a comprehensive analysis of the model actinobacterial genus Amycolatopsis and its potential for the production of secondary metabolites. A phylogenetic characterization, together with a pan-genome analysis showed that within this highly diverse genus, four major lineages could be distinguished which differed in their potential to produce secondary metabolites. Furthermore, we were able to distinguish gene cluster families whose distribution correlated with phylogeny, indicating that vertical gene transfer plays a major role in the evolution of secondary metabolite gene clusters. Still, the vast majority of the diverse biosynthetic gene clusters were derived from clusters unique to the genus, and also unique in comparison to a database of known compounds. Our study on the locations of biosynthetic gene clusters in the genomes of Amycolatopsis’ strains showed that clusters acquired by horizontal gene transfer tend to be incorporated into non-conserved regions of the genome thereby allowing us to distinguish core and hypervariable regions in Amycolatopsis genomes. CONCLUSIONS: Using a comparative genomics approach, it was possible to determine the potential of the genus Amycolatopsis to produce a huge diversity of secondary metabolites. Furthermore, the analysis demonstrates that horizontal and vertical gene transfer play an important role in the acquisition and maintenance of valuable secondary metabolites. Our results cast light on the interconnections between secondary metabolite gene clusters and provide a way to prioritize biosynthetic pathways in the search and discovery of novel compounds. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-4809-4) contains supplementary material, which is available to authorized users. BioMed Central 2018-06-01 /pmc/articles/PMC5984834/ /pubmed/29859036 http://dx.doi.org/10.1186/s12864-018-4809-4 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Adamek, Martina
Alanjary, Mohammad
Sales-Ortells, Helena
Goodfellow, Michael
Bull, Alan T.
Winkler, Anika
Wibberg, Daniel
Kalinowski, Jörn
Ziemert, Nadine
Comparative genomics reveals phylogenetic distribution patterns of secondary metabolites in Amycolatopsis species
title Comparative genomics reveals phylogenetic distribution patterns of secondary metabolites in Amycolatopsis species
title_full Comparative genomics reveals phylogenetic distribution patterns of secondary metabolites in Amycolatopsis species
title_fullStr Comparative genomics reveals phylogenetic distribution patterns of secondary metabolites in Amycolatopsis species
title_full_unstemmed Comparative genomics reveals phylogenetic distribution patterns of secondary metabolites in Amycolatopsis species
title_short Comparative genomics reveals phylogenetic distribution patterns of secondary metabolites in Amycolatopsis species
title_sort comparative genomics reveals phylogenetic distribution patterns of secondary metabolites in amycolatopsis species
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5984834/
https://www.ncbi.nlm.nih.gov/pubmed/29859036
http://dx.doi.org/10.1186/s12864-018-4809-4
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