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Merkl, Rainer ; Verprinsky, Valery ; Plach, Maximilian G. ; Heizinger, Leonhard

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

Merkl, Rainer, Verprinsky, Valery, Plach, Maximilian G. und Heizinger, Leonhard (2017) Assessing in silico the recruitment and functional spectrum of bacterial enzymes from secondary metabolism. BMC Evolutionary Biology 17 (36), S. 1-15.

Veröffentlichungsdatum dieses Volltextes: 21 Apr 2017 13:32
Artikel
DOI zum Zitieren dieses Dokuments: 10.5283/epub.35573


Zusammenfassung

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 ...

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.



Beteiligte Einrichtungen


Details

DokumentenartArtikel
Titel eines Journals oder einer ZeitschriftBMC Evolutionary Biology
Verlag:BIOMED CENTRAL LTD
Ort der Veröffentlichung:LONDON
Band:17
Nummer des Zeitschriftenheftes oder des Kapitels:36
Seitenbereich:S. 1-15
Datum26 Januar 2017
InstitutionenBiologie und Vorklinische Medizin > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Rainer Merkl
Identifikationsnummer
WertTyp
10.1186/s12862-017-0886-2DOI
Stichwörter / KeywordsCHORISMATE-UTILIZING ENZYMES; EVOLUTION; CLASSIFICATION; BIOSYNTHESIS; INFORMATION; DIVERSITY; PATHWAYS; OPERONS; GENOMES; Primary metabolism; Secondary metabolism; Enzyme evolution; Enzyme design
Dewey-Dezimal-Klassifikation600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin
StatusVeröffentlicht
BegutachtetJa, diese Version wurde begutachtet
An der Universität Regensburg entstandenJa
URN der UB Regensburgurn:nbn:de:bvb:355-epub-355737
Dokumenten-ID35573

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