A qPCR assay for Bordetella pertussis cells that enumerates both live and dead bacteria

Ramkissoon, Stacy, MacArthur, Iain, Ibrahim, Muktar, de Graaf, Hans, Read, Robert C. and Preston, Andrew (2020) A qPCR assay for Bordetella pertussis cells that enumerates both live and dead bacteria. PLoS ONE, 15 (4). e0232334. ISSN 1932-6203

[img]
Preview
Text
journal.pone.0232334.pdf - Published Version
Available under License Creative Commons Attribution 4.0.

Download (3MB) | Preview
Official URL: https://doi.org/10.1371/journal.pone.0232334

Abstract

Bordetella pertussis is the causative agent of whooping cough, commonly referred to as pertussis. Although the incidence of pertussis was reduced through vaccination, during the last thirty years it has returned to high levels in a number of countries. This resurgence has been linked to the switch from the use of whole-cell to acellular vaccines. Protection afforded by acellular vaccines appears to be short-lived compared to that afforded by whole cell vaccines. In order to inform future vaccine improvement by identifying immune correlates of protection, a human challenge model of B. pertussis colonisation has been developed. Accurate measurement of colonisation status in this model has required development of a qPCR-based assay to enumerate B. pertussis in samples that distinguishes between viable and dead bacteria. Here we report the development of this assay and its performance in the quantification of B. pertussis from human challenge model samples. This assay has future utility in diagnostic labs and in research where a quantitative measure of both B. pertussis number and viability is required.

Item Type: Article
Subjects: C400 Genetics
C700 Molecular Biology, Biophysics and Biochemistry
Department: Faculties > Health and Life Sciences > Applied Sciences
Depositing User: Elena Carlaw
Date Deposited: 20 Jul 2020 10:33
Last Modified: 20 Jul 2020 10:33
URI: http://nrl.northumbria.ac.uk/id/eprint/43816

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics