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

Overview of attention for article published in BMC Ecology and Evolution, January 2017
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Title
Assessing in silico the recruitment and functional spectrum of bacterial enzymes from secondary metabolism
Published in
BMC Ecology and Evolution, January 2017
DOI 10.1186/s12862-017-0886-2
Pubmed ID
Authors

Valery Veprinskiy, Leonhard Heizinger, Maximilian G. Plach, Rainer Merkl

Abstract

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. 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 . 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.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 18%
Researcher 2 18%
Student > Ph. D. Student 2 18%
Student > Doctoral Student 1 9%
Student > Bachelor 1 9%
Other 2 18%
Unknown 1 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 36%
Biochemistry, Genetics and Molecular Biology 3 27%
Chemistry 1 9%
Engineering 1 9%
Unknown 2 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 April 2017.
All research outputs
#22,764,772
of 25,377,790 outputs
Outputs from BMC Ecology and Evolution
#3,511
of 3,714 outputs
Outputs of similar age
#363,507
of 422,426 outputs
Outputs of similar age from BMC Ecology and Evolution
#69
of 73 outputs
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