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Exploring Long-Read Metagenomics for Full Characterization of Shiga Toxin-Producing Escherichia coli in Presence of Commensal E. coli

The characterization of Shiga toxin-producing Escherichia coli (STEC) is necessary to assess their pathogenic potential, but isolation of the strain from complex matrices such as milk remains challenging. In previous work, we have shown the potential of long-read metagenomics to characterize eae-pos...

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Autores principales: Jaudou, Sandra, Deneke, Carlus, Tran, Mai-Lan, Salzinger, Carina, Vorimore, Fabien, Goehler, André, Schuh, Elisabeth, Malorny, Burkhard, Fach, Patrick, Grützke, Josephine, Delannoy, Sabine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10458860/
https://www.ncbi.nlm.nih.gov/pubmed/37630603
http://dx.doi.org/10.3390/microorganisms11082043
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author Jaudou, Sandra
Deneke, Carlus
Tran, Mai-Lan
Salzinger, Carina
Vorimore, Fabien
Goehler, André
Schuh, Elisabeth
Malorny, Burkhard
Fach, Patrick
Grützke, Josephine
Delannoy, Sabine
author_facet Jaudou, Sandra
Deneke, Carlus
Tran, Mai-Lan
Salzinger, Carina
Vorimore, Fabien
Goehler, André
Schuh, Elisabeth
Malorny, Burkhard
Fach, Patrick
Grützke, Josephine
Delannoy, Sabine
author_sort Jaudou, Sandra
collection PubMed
description The characterization of Shiga toxin-producing Escherichia coli (STEC) is necessary to assess their pathogenic potential, but isolation of the strain from complex matrices such as milk remains challenging. In previous work, we have shown the potential of long-read metagenomics to characterize eae-positive STEC from artificially contaminated raw milk without isolating the strain. The presence of multiple E. coli strains in the sample was shown to potentially hinder the correct characterization of the STEC strain. Here, we aimed at determining the STEC:commensal ratio that would prevent the characterization of the STEC. We artificially contaminated pasteurized milk with different ratios of an eae-positive STEC and a commensal E. coli and applied the method previously developed. Results showed that the STEC strain growth was better than the commensal E. coli after enrichment in acriflavine-supplemented BPW. The STEC was successfully characterized in all samples with at least 10 times more STEC post-enrichment compared to the commensal E. coli. However, the presence of equivalent proportions of STEC and commensal E. coli prevented the full characterization of the STEC strain. This study confirms the potential of long-read metagenomics for STEC characterization in an isolation-free manner while refining its limit regarding the presence of background E. coli strains.
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spelling pubmed-104588602023-08-27 Exploring Long-Read Metagenomics for Full Characterization of Shiga Toxin-Producing Escherichia coli in Presence of Commensal E. coli Jaudou, Sandra Deneke, Carlus Tran, Mai-Lan Salzinger, Carina Vorimore, Fabien Goehler, André Schuh, Elisabeth Malorny, Burkhard Fach, Patrick Grützke, Josephine Delannoy, Sabine Microorganisms Article The characterization of Shiga toxin-producing Escherichia coli (STEC) is necessary to assess their pathogenic potential, but isolation of the strain from complex matrices such as milk remains challenging. In previous work, we have shown the potential of long-read metagenomics to characterize eae-positive STEC from artificially contaminated raw milk without isolating the strain. The presence of multiple E. coli strains in the sample was shown to potentially hinder the correct characterization of the STEC strain. Here, we aimed at determining the STEC:commensal ratio that would prevent the characterization of the STEC. We artificially contaminated pasteurized milk with different ratios of an eae-positive STEC and a commensal E. coli and applied the method previously developed. Results showed that the STEC strain growth was better than the commensal E. coli after enrichment in acriflavine-supplemented BPW. The STEC was successfully characterized in all samples with at least 10 times more STEC post-enrichment compared to the commensal E. coli. However, the presence of equivalent proportions of STEC and commensal E. coli prevented the full characterization of the STEC strain. This study confirms the potential of long-read metagenomics for STEC characterization in an isolation-free manner while refining its limit regarding the presence of background E. coli strains. MDPI 2023-08-09 /pmc/articles/PMC10458860/ /pubmed/37630603 http://dx.doi.org/10.3390/microorganisms11082043 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Jaudou, Sandra
Deneke, Carlus
Tran, Mai-Lan
Salzinger, Carina
Vorimore, Fabien
Goehler, André
Schuh, Elisabeth
Malorny, Burkhard
Fach, Patrick
Grützke, Josephine
Delannoy, Sabine
Exploring Long-Read Metagenomics for Full Characterization of Shiga Toxin-Producing Escherichia coli in Presence of Commensal E. coli
title Exploring Long-Read Metagenomics for Full Characterization of Shiga Toxin-Producing Escherichia coli in Presence of Commensal E. coli
title_full Exploring Long-Read Metagenomics for Full Characterization of Shiga Toxin-Producing Escherichia coli in Presence of Commensal E. coli
title_fullStr Exploring Long-Read Metagenomics for Full Characterization of Shiga Toxin-Producing Escherichia coli in Presence of Commensal E. coli
title_full_unstemmed Exploring Long-Read Metagenomics for Full Characterization of Shiga Toxin-Producing Escherichia coli in Presence of Commensal E. coli
title_short Exploring Long-Read Metagenomics for Full Characterization of Shiga Toxin-Producing Escherichia coli in Presence of Commensal E. coli
title_sort exploring long-read metagenomics for full characterization of shiga toxin-producing escherichia coli in presence of commensal e. coli
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10458860/
https://www.ncbi.nlm.nih.gov/pubmed/37630603
http://dx.doi.org/10.3390/microorganisms11082043
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