Detection of mixed-strain infections by FACS and ultra-low input genome sequencing.

Gut Microbes

Department of Genomics and Health, Foundation for the Promotion of Health and Biomedical Research of Valencia Region (FISABIO-Public Health) , València, Spain.

Published: May 2020

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 . In addition, the result would be biased by microbial culture conditions. Herein we propose an approach for detecting mixed-strain infection, providing 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.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7524272PMC
http://dx.doi.org/10.1080/19490976.2018.1526578DOI Listing

Publication Analysis

Top Keywords

genome sequencing
12
strains patient
8
detection mixed-strain
4
mixed-strain infections
4
infections facs
4
facs ultra-low
4
ultra-low input
4
input genome
4
sequencing
4
sequencing epidemiological
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!