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Detection of mixed-strain infections by FACS and ultra-low input genome sequencing
The epidemiological tracking of a bacterial outbreak may be jeopardized by the presence of multiple pathogenic strains in one patient. Nevertheless, this fact is not considered in most of the epidemiological studies and only one colony per patient is sequenced. On the other hand, the routine whole g...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7524272/ https://www.ncbi.nlm.nih.gov/pubmed/30289342 http://dx.doi.org/10.1080/19490976.2018.1526578 |
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author | Džunková, Mária Moya, Andrés Chen, Xinhua Kelly, Ciaran D’Auria, Giuseppe |
author_facet | Džunková, Mária Moya, Andrés Chen, Xinhua Kelly, Ciaran D’Auria, Giuseppe |
author_sort | Džunková, Mária |
collection | PubMed |
description | The epidemiological tracking of a bacterial outbreak may be jeopardized by the presence of multiple pathogenic strains in one patient. Nevertheless, this fact is not considered in most of the epidemiological studies and only one colony per patient is sequenced. On the other hand, the routine whole genome sequencing of many isolates from each patient would be costly and unnecessary, because the number of strains in a patient is never known a priori. In addition, the result would be biased by microbial culture conditions. Herein we propose an approach for detecting mixed-strain infection, providing C. difficile infection as an example. The cells of the target pathogenic species are collected from the bacterial suspension by the fluorescence activated cell sorting (FACS) and a shallow genome sequencing is performed. A modified sequencing library preparation protocol for low-input DNA samples can be used for low prevalence gut pathogens (< 0.1% of the total microbiome). This FACS-seq approach reduces diagnostics time (no culture is needed) and may promote discoveries of novel strains. Methodological details, possible issues and future directions for the sequencing of these natural pan-genomes are herein discussed. |
format | Online Article Text |
id | pubmed-7524272 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-75242722020-10-06 Detection of mixed-strain infections by FACS and ultra-low input genome sequencing Džunková, Mária Moya, Andrés Chen, Xinhua Kelly, Ciaran D’Auria, Giuseppe Gut Microbes Commentary and Views The epidemiological tracking of a bacterial outbreak may be jeopardized by the presence of multiple pathogenic strains in one patient. Nevertheless, this fact is not considered in most of the epidemiological studies and only one colony per patient is sequenced. On the other hand, the routine whole genome sequencing of many isolates from each patient would be costly and unnecessary, because the number of strains in a patient is never known a priori. In addition, the result would be biased by microbial culture conditions. Herein we propose an approach for detecting mixed-strain infection, providing C. difficile infection as an example. The cells of the target pathogenic species are collected from the bacterial suspension by the fluorescence activated cell sorting (FACS) and a shallow genome sequencing is performed. A modified sequencing library preparation protocol for low-input DNA samples can be used for low prevalence gut pathogens (< 0.1% of the total microbiome). This FACS-seq approach reduces diagnostics time (no culture is needed) and may promote discoveries of novel strains. Methodological details, possible issues and future directions for the sequencing of these natural pan-genomes are herein discussed. Taylor & Francis 2018-10-05 /pmc/articles/PMC7524272/ /pubmed/30289342 http://dx.doi.org/10.1080/19490976.2018.1526578 Text en © 2018 The Author(s). Published with license by Taylor & Francis Group, LLC. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Commentary and Views Džunková, Mária Moya, Andrés Chen, Xinhua Kelly, Ciaran D’Auria, Giuseppe Detection of mixed-strain infections by FACS and ultra-low input genome sequencing |
title | Detection of mixed-strain infections by FACS and ultra-low input genome sequencing |
title_full | Detection of mixed-strain infections by FACS and ultra-low input genome sequencing |
title_fullStr | Detection of mixed-strain infections by FACS and ultra-low input genome sequencing |
title_full_unstemmed | Detection of mixed-strain infections by FACS and ultra-low input genome sequencing |
title_short | Detection of mixed-strain infections by FACS and ultra-low input genome sequencing |
title_sort | detection of mixed-strain infections by facs and ultra-low input genome sequencing |
topic | Commentary and Views |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7524272/ https://www.ncbi.nlm.nih.gov/pubmed/30289342 http://dx.doi.org/10.1080/19490976.2018.1526578 |
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