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Assessing in silico the recruitment and functional spectrum of bacterial enzymes from secondary metabolism

BACKGROUND: Microbes, plants, and fungi synthesize an enormous number of metabolites exhibiting rich chemical diversity. For a high-level classification, metabolism is subdivided into primary (PM) and secondary (SM) metabolism. SM products are often not essential for survival of the organism and it...

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Autores principales: Veprinskiy, Valery, Heizinger, Leonhard, Plach, Maximilian G., Merkl, Rainer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5270213/
https://www.ncbi.nlm.nih.gov/pubmed/28125959
http://dx.doi.org/10.1186/s12862-017-0886-2
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author Veprinskiy, Valery
Heizinger, Leonhard
Plach, Maximilian G.
Merkl, Rainer
author_facet Veprinskiy, Valery
Heizinger, Leonhard
Plach, Maximilian G.
Merkl, Rainer
author_sort Veprinskiy, Valery
collection PubMed
description BACKGROUND: Microbes, plants, and fungi synthesize an enormous number of metabolites exhibiting rich chemical diversity. For a high-level classification, metabolism is subdivided into primary (PM) and secondary (SM) metabolism. SM products are often not essential for survival of the organism and it is generally assumed that SM enzymes stem from PM homologs. RESULTS: We wanted to assess evolutionary relationships and function of bona fide bacterial PM and SM enzymes. Thus, we analyzed the content of 1010 biosynthetic gene clusters (BGCs) from the MIBiG dataset; the encoded bacterial enzymes served as representatives of SM. The content of 15 bacterial genomes known not to harbor BGCs served as a representation of PM. Enzymes were categorized on their EC number and for these enzyme functions, frequencies were determined. The comparison of PM/SM frequencies indicates a certain preference for hydrolases (EC class 3) and ligases (EC class 6) in PM and of oxidoreductases (EC class 1) and lyases (EC class 4) in SM. Based on BLAST searches, we determined pairs of PM/SM homologs and their functional diversity. Oxidoreductases, transferases (EC class 2), lyases and isomerases (EC class 5) form a tightly interlinked network indicating that many protein folds can accommodate different functions in PM and SM. In contrast, the functional diversity of hydrolases and especially ligases is significantly limited in PM and SM. For the most direct comparison of PM/SM homologs, we restricted for each BGC the search to the content of the genome it comes from. For each homologous hit, the contribution of the genomic neighborhood to metabolic pathways was summarized in BGC-specific html-pages that are interlinked with KEGG; this dataset can be downloaded from https://www.bioinf.ur.de. CONCLUSIONS: Only few reaction chemistries are overrepresented in bacterial SM and at least 55% of the enzymatic functions present in BGCs possess PM homologs. Many SM enzymes arose in PM and Nature utilized the evolvability of enzymes similarly to establish novel functions both in PM and SM. Future work aimed at the elucidation of evolutionary routes that have interconverted a PM enzyme into an SM homolog can profit from our BGC-specific annotations. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12862-017-0886-2) contains supplementary material, which is available to authorized users.
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spelling pubmed-52702132017-02-01 Assessing in silico the recruitment and functional spectrum of bacterial enzymes from secondary metabolism Veprinskiy, Valery Heizinger, Leonhard Plach, Maximilian G. Merkl, Rainer BMC Evol Biol Research Article BACKGROUND: Microbes, plants, and fungi synthesize an enormous number of metabolites exhibiting rich chemical diversity. For a high-level classification, metabolism is subdivided into primary (PM) and secondary (SM) metabolism. SM products are often not essential for survival of the organism and it is generally assumed that SM enzymes stem from PM homologs. RESULTS: We wanted to assess evolutionary relationships and function of bona fide bacterial PM and SM enzymes. Thus, we analyzed the content of 1010 biosynthetic gene clusters (BGCs) from the MIBiG dataset; the encoded bacterial enzymes served as representatives of SM. The content of 15 bacterial genomes known not to harbor BGCs served as a representation of PM. Enzymes were categorized on their EC number and for these enzyme functions, frequencies were determined. The comparison of PM/SM frequencies indicates a certain preference for hydrolases (EC class 3) and ligases (EC class 6) in PM and of oxidoreductases (EC class 1) and lyases (EC class 4) in SM. Based on BLAST searches, we determined pairs of PM/SM homologs and their functional diversity. Oxidoreductases, transferases (EC class 2), lyases and isomerases (EC class 5) form a tightly interlinked network indicating that many protein folds can accommodate different functions in PM and SM. In contrast, the functional diversity of hydrolases and especially ligases is significantly limited in PM and SM. For the most direct comparison of PM/SM homologs, we restricted for each BGC the search to the content of the genome it comes from. For each homologous hit, the contribution of the genomic neighborhood to metabolic pathways was summarized in BGC-specific html-pages that are interlinked with KEGG; this dataset can be downloaded from https://www.bioinf.ur.de. CONCLUSIONS: Only few reaction chemistries are overrepresented in bacterial SM and at least 55% of the enzymatic functions present in BGCs possess PM homologs. Many SM enzymes arose in PM and Nature utilized the evolvability of enzymes similarly to establish novel functions both in PM and SM. Future work aimed at the elucidation of evolutionary routes that have interconverted a PM enzyme into an SM homolog can profit from our BGC-specific annotations. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12862-017-0886-2) contains supplementary material, which is available to authorized users. BioMed Central 2017-01-26 /pmc/articles/PMC5270213/ /pubmed/28125959 http://dx.doi.org/10.1186/s12862-017-0886-2 Text en © The Author(s). 2017 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
Veprinskiy, Valery
Heizinger, Leonhard
Plach, Maximilian G.
Merkl, Rainer
Assessing in silico the recruitment and functional spectrum of bacterial enzymes from secondary metabolism
title Assessing in silico the recruitment and functional spectrum of bacterial enzymes from secondary metabolism
title_full Assessing in silico the recruitment and functional spectrum of bacterial enzymes from secondary metabolism
title_fullStr Assessing in silico the recruitment and functional spectrum of bacterial enzymes from secondary metabolism
title_full_unstemmed Assessing in silico the recruitment and functional spectrum of bacterial enzymes from secondary metabolism
title_short Assessing in silico the recruitment and functional spectrum of bacterial enzymes from secondary metabolism
title_sort assessing in silico the recruitment and functional spectrum of bacterial enzymes from secondary metabolism
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5270213/
https://www.ncbi.nlm.nih.gov/pubmed/28125959
http://dx.doi.org/10.1186/s12862-017-0886-2
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