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Long-read sequencing-based in silico phage typing of vancomycin-resistant Enterococcus faecium

BACKGROUND: Vancomycin-resistant enterococci (VRE) are successful nosocomial pathogens able to cause hospital outbreaks. In the Netherlands, core-genome MLST (cgMLST) based on short-read sequencing is often used for molecular typing. Long-read sequencing is more rapid and provides useful information...

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Autores principales: Lisotto, Paola, Raangs, Erwin C., Couto, Natacha, Rosema, Sigrid, Lokate, Mariëtte, Zhou, Xuewei, Friedrich, Alexander W., Rossen, John W. A., Harmsen, Hermie J. M., Bathoorn, Erik, Chlebowicz-Fliss, Monika A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8542323/
https://www.ncbi.nlm.nih.gov/pubmed/34688274
http://dx.doi.org/10.1186/s12864-021-08080-5
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author Lisotto, Paola
Raangs, Erwin C.
Couto, Natacha
Rosema, Sigrid
Lokate, Mariëtte
Zhou, Xuewei
Friedrich, Alexander W.
Rossen, John W. A.
Harmsen, Hermie J. M.
Bathoorn, Erik
Chlebowicz-Fliss, Monika A.
author_facet Lisotto, Paola
Raangs, Erwin C.
Couto, Natacha
Rosema, Sigrid
Lokate, Mariëtte
Zhou, Xuewei
Friedrich, Alexander W.
Rossen, John W. A.
Harmsen, Hermie J. M.
Bathoorn, Erik
Chlebowicz-Fliss, Monika A.
author_sort Lisotto, Paola
collection PubMed
description BACKGROUND: Vancomycin-resistant enterococci (VRE) are successful nosocomial pathogens able to cause hospital outbreaks. In the Netherlands, core-genome MLST (cgMLST) based on short-read sequencing is often used for molecular typing. Long-read sequencing is more rapid and provides useful information about the genome’s structural composition but lacks the precision required for SNP-based typing and cgMLST. Here we compared prophages among 50 complete E. faecium genomes belonging to different lineages to explore whether a phage signature would be usable for typing and identifying an outbreak caused by VRE. As a proof of principle, we investigated if long-read sequencing data would allow for identifying phage signatures and thereby outbreak-related isolates. RESULTS: Analysis of complete genome sequences of publicly available isolates showed variation in phage content among different lineages defined by MLST. We identified phage present in multiple STs as well as phages uniquely detected within a single lineage. Next, in silico phage typing was applied to twelve MinION sequenced isolates belonging to two different genetic backgrounds, namely ST117/CT24 and ST80/CT16. Genomic comparisons of the long-read-based assemblies allowed us to correctly identify isolates of the same complex type based on global genome architecture and specific phage signature similarity. CONCLUSIONS: For rapid identification of related VRE isolates, phage content analysis in long-read sequencing data is possible. This allows software development for real-time typing analysis of long-read sequencing data, which will generate results within several hours. Future studies are required to assess the discriminatory power of this method in the investigation of ongoing outbreaks over a longer time period. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-021-08080-5.
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spelling pubmed-85423232021-10-25 Long-read sequencing-based in silico phage typing of vancomycin-resistant Enterococcus faecium Lisotto, Paola Raangs, Erwin C. Couto, Natacha Rosema, Sigrid Lokate, Mariëtte Zhou, Xuewei Friedrich, Alexander W. Rossen, John W. A. Harmsen, Hermie J. M. Bathoorn, Erik Chlebowicz-Fliss, Monika A. BMC Genomics Research BACKGROUND: Vancomycin-resistant enterococci (VRE) are successful nosocomial pathogens able to cause hospital outbreaks. In the Netherlands, core-genome MLST (cgMLST) based on short-read sequencing is often used for molecular typing. Long-read sequencing is more rapid and provides useful information about the genome’s structural composition but lacks the precision required for SNP-based typing and cgMLST. Here we compared prophages among 50 complete E. faecium genomes belonging to different lineages to explore whether a phage signature would be usable for typing and identifying an outbreak caused by VRE. As a proof of principle, we investigated if long-read sequencing data would allow for identifying phage signatures and thereby outbreak-related isolates. RESULTS: Analysis of complete genome sequences of publicly available isolates showed variation in phage content among different lineages defined by MLST. We identified phage present in multiple STs as well as phages uniquely detected within a single lineage. Next, in silico phage typing was applied to twelve MinION sequenced isolates belonging to two different genetic backgrounds, namely ST117/CT24 and ST80/CT16. Genomic comparisons of the long-read-based assemblies allowed us to correctly identify isolates of the same complex type based on global genome architecture and specific phage signature similarity. CONCLUSIONS: For rapid identification of related VRE isolates, phage content analysis in long-read sequencing data is possible. This allows software development for real-time typing analysis of long-read sequencing data, which will generate results within several hours. Future studies are required to assess the discriminatory power of this method in the investigation of ongoing outbreaks over a longer time period. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-021-08080-5. BioMed Central 2021-10-23 /pmc/articles/PMC8542323/ /pubmed/34688274 http://dx.doi.org/10.1186/s12864-021-08080-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Lisotto, Paola
Raangs, Erwin C.
Couto, Natacha
Rosema, Sigrid
Lokate, Mariëtte
Zhou, Xuewei
Friedrich, Alexander W.
Rossen, John W. A.
Harmsen, Hermie J. M.
Bathoorn, Erik
Chlebowicz-Fliss, Monika A.
Long-read sequencing-based in silico phage typing of vancomycin-resistant Enterococcus faecium
title Long-read sequencing-based in silico phage typing of vancomycin-resistant Enterococcus faecium
title_full Long-read sequencing-based in silico phage typing of vancomycin-resistant Enterococcus faecium
title_fullStr Long-read sequencing-based in silico phage typing of vancomycin-resistant Enterococcus faecium
title_full_unstemmed Long-read sequencing-based in silico phage typing of vancomycin-resistant Enterococcus faecium
title_short Long-read sequencing-based in silico phage typing of vancomycin-resistant Enterococcus faecium
title_sort long-read sequencing-based in silico phage typing of vancomycin-resistant enterococcus faecium
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8542323/
https://www.ncbi.nlm.nih.gov/pubmed/34688274
http://dx.doi.org/10.1186/s12864-021-08080-5
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