Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Džunková, Mária, Moya, Andrés, Chen, Xinhua, Kelly, Ciaran, D’Auria, Giuseppe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2018
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
_version_ 1783588525798588416
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
work_keys_str_mv AT dzunkovamaria detectionofmixedstraininfectionsbyfacsandultralowinputgenomesequencing
AT moyaandres detectionofmixedstraininfectionsbyfacsandultralowinputgenomesequencing
AT chenxinhua detectionofmixedstraininfectionsbyfacsandultralowinputgenomesequencing
AT kellyciaran detectionofmixedstraininfectionsbyfacsandultralowinputgenomesequencing
AT dauriagiuseppe detectionofmixedstraininfectionsbyfacsandultralowinputgenomesequencing