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Metabolomics Study on Pathogenic and Non-pathogenic E. coli with Closely Related Genomes with a Focus on Yersiniabactin and Its Known and Novel Derivatives
The Escherichia coli (E. coli) strains Nissle 1917 (EcN), 83972 and CFT073 are closely related but differ in their phenotypes and pathogenicity. The aim of this study was to compare the metabolome of these strains based on metabolomic data analysis of bacterial samples using liquid chromatography-hi...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7344775/ https://www.ncbi.nlm.nih.gov/pubmed/32481767 http://dx.doi.org/10.3390/metabo10060221 |
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author | Schulz, Mareike Gaitanoglou, Vasiliki Mantel, Olena Hövelmann, Yannick Hübner, Florian Dobrindt, Ulrich Humpf, Hans-Ulrich |
author_facet | Schulz, Mareike Gaitanoglou, Vasiliki Mantel, Olena Hövelmann, Yannick Hübner, Florian Dobrindt, Ulrich Humpf, Hans-Ulrich |
author_sort | Schulz, Mareike |
collection | PubMed |
description | The Escherichia coli (E. coli) strains Nissle 1917 (EcN), 83972 and CFT073 are closely related but differ in their phenotypes and pathogenicity. The aim of this study was to compare the metabolome of these strains based on metabolomic data analysis of bacterial samples using liquid chromatography-high resolution mass spectrometry (LC-HRMS). The strains were cultivated in minimum essential medium at 37 °C for 6 h. The sterilized culture supernatant was analyzed, followed by data processing to create feature lists, and statistical analysis to identify discriminating features in the metabolomes of the three strains. Metabolites were identified using the exact masses, isotope patterns, and fragmentation spectra. The results showed that the metabolome of EcN differs significantly from the metabolomes of E. coli 83972 and CFT073. Based on the analysis, yersiniabactin (Ybt), its metal complexes, and its known structural derivatives escherichelin and ulbactin B were identified as discriminating features; the latter has not been described for E. coli before. Additionally, novel Ytb derivatives were found and tentatively identified by LC-MS/HRMS. All these metabolites were determined in significantly higher levels in the metabolome of EcN compared to E. coli 83972, which may explain a large part of the observed differences of the metabolomes. |
format | Online Article Text |
id | pubmed-7344775 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-73447752020-07-09 Metabolomics Study on Pathogenic and Non-pathogenic E. coli with Closely Related Genomes with a Focus on Yersiniabactin and Its Known and Novel Derivatives Schulz, Mareike Gaitanoglou, Vasiliki Mantel, Olena Hövelmann, Yannick Hübner, Florian Dobrindt, Ulrich Humpf, Hans-Ulrich Metabolites Article The Escherichia coli (E. coli) strains Nissle 1917 (EcN), 83972 and CFT073 are closely related but differ in their phenotypes and pathogenicity. The aim of this study was to compare the metabolome of these strains based on metabolomic data analysis of bacterial samples using liquid chromatography-high resolution mass spectrometry (LC-HRMS). The strains were cultivated in minimum essential medium at 37 °C for 6 h. The sterilized culture supernatant was analyzed, followed by data processing to create feature lists, and statistical analysis to identify discriminating features in the metabolomes of the three strains. Metabolites were identified using the exact masses, isotope patterns, and fragmentation spectra. The results showed that the metabolome of EcN differs significantly from the metabolomes of E. coli 83972 and CFT073. Based on the analysis, yersiniabactin (Ybt), its metal complexes, and its known structural derivatives escherichelin and ulbactin B were identified as discriminating features; the latter has not been described for E. coli before. Additionally, novel Ytb derivatives were found and tentatively identified by LC-MS/HRMS. All these metabolites were determined in significantly higher levels in the metabolome of EcN compared to E. coli 83972, which may explain a large part of the observed differences of the metabolomes. MDPI 2020-05-28 /pmc/articles/PMC7344775/ /pubmed/32481767 http://dx.doi.org/10.3390/metabo10060221 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Schulz, Mareike Gaitanoglou, Vasiliki Mantel, Olena Hövelmann, Yannick Hübner, Florian Dobrindt, Ulrich Humpf, Hans-Ulrich Metabolomics Study on Pathogenic and Non-pathogenic E. coli with Closely Related Genomes with a Focus on Yersiniabactin and Its Known and Novel Derivatives |
title | Metabolomics Study on Pathogenic and Non-pathogenic E. coli with Closely Related Genomes with a Focus on Yersiniabactin and Its Known and Novel Derivatives |
title_full | Metabolomics Study on Pathogenic and Non-pathogenic E. coli with Closely Related Genomes with a Focus on Yersiniabactin and Its Known and Novel Derivatives |
title_fullStr | Metabolomics Study on Pathogenic and Non-pathogenic E. coli with Closely Related Genomes with a Focus on Yersiniabactin and Its Known and Novel Derivatives |
title_full_unstemmed | Metabolomics Study on Pathogenic and Non-pathogenic E. coli with Closely Related Genomes with a Focus on Yersiniabactin and Its Known and Novel Derivatives |
title_short | Metabolomics Study on Pathogenic and Non-pathogenic E. coli with Closely Related Genomes with a Focus on Yersiniabactin and Its Known and Novel Derivatives |
title_sort | metabolomics study on pathogenic and non-pathogenic e. coli with closely related genomes with a focus on yersiniabactin and its known and novel derivatives |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7344775/ https://www.ncbi.nlm.nih.gov/pubmed/32481767 http://dx.doi.org/10.3390/metabo10060221 |
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