Targeting discriminatory SNPs in Salmonella enterica serovar Heidelberg genomes using RNase H2-dependent PCR.
RNase-H dependent PCR
SNP genotyping
Salmonella Heidelberg
rhPCR
Journal
Journal of microbiological methods
ISSN: 1872-8359
Titre abrégé: J Microbiol Methods
Pays: Netherlands
ID NLM: 8306883
Informations de publication
Date de publication:
02 2019
02 2019
Historique:
received:
08
11
2018
revised:
21
12
2018
accepted:
24
12
2018
pubmed:
29
12
2018
medline:
14
1
2020
entrez:
29
12
2018
Statut:
ppublish
Résumé
We report a novel RNase H2-dependent PCR (rhPCR) genotyping assay for a small number of discriminatory single-nucleotide polymorphisms (SNPs) that identify lineages and sub-lineages of the highly clonal pathogen Salmonella Heidelberg (SH). Standard PCR primers targeting numerous SNP locations were initially designed in silico, modified to be RNase H2-compatible, and then optimized by laboratory testing. Optimization often required repeated cycling through variations in primer design, assay conditions, reagent concentrations and selection of alternative SNP targets. The final rhPCR assay uses 28 independent rhPCR reactions to target 14 DNA bases that can distinguish 15 possible lineages and sub-lineages of SH. On evaluation, the assay correctly identified the 12 lineages and sub-lineages represented in a panel of 75 diverse SH strains. Non-specific amplicons were observed in 160 (15.2%) of the 1050 reactions, but due to their low intensity did not compromise assay performance. Furthermore, in silico analysis of 500 closed genomes from 103 Salmonella serovars and laboratory rhPCR testing of five prevalent Salmonella serovars including SH indicated the assay can identify Salmonella isolates as SH, since only SH isolates generated amplicons from all 14 target SNPs. The genotyping results can be fully correlated with whole genome sequencing (WGS) data in silico. This fast and economical assay, which can identify SH isolates and classify them into related or unrelated lineages and sub-lineages, has potential applications in outbreak identification, source attribution and microbial source tracking.
Identifiants
pubmed: 30592979
pii: S0167-7012(18)30892-3
doi: 10.1016/j.mimet.2018.12.021
pii:
doi:
Substances chimiques
Ribonucleases
EC 3.1.-
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
81-87Informations de copyright
Crown Copyright © 2019. Published by Elsevier B.V. All rights reserved.