Development of a qPCR assay to identify and differentiate insect-associated strains of the <i>Serratia marcescens</i> complex

The <i>Serratia marcescens</i> complex contains important opportunistic pathogens of humans and vertebrate animals, as well as insects and other invertebrates. To date, the methods used for the identification of species within the genus <i>Serratia</i>, including PCR assays, have poor discriminatory power and may require further molecular typing or genomic sequence analysis to determine clinical relevance. We developed a duplex TaqMan probe-based quantitative real-time PCR (qPCR) assay targeting the <i>chiP</i> gene, which is involved in chitin degradation and transport, and the <i>ureD</i> gene, which is involved in urease production. This allowed us to simultaneously identify all members of the <i>S. marcescens</i> complex (<i>chiP</i> positive) and differentiate those most likely to act as insect pathogens (<i>chiP</i> and <i>ureD</i> positive). We applied our assay to identify potentially entomopathogenic members of the <i>S. marcescens</i> complex in the context of a conservation program for the critically endangered insect <i>Dryococelus australis</i> and found it to be a useful aid for rapid and accurate detection of infection with <i>S. marcescens</i> complex strains in insects and determination of their clinical relevance. By targeting 2 genes likely to be virulence factors, this assay may also be of use for research investigating the pathogenesis of entomopathogenic <i>Serratia</i> spp.

Authors

Institutions

Publication Details

Journal
Journal of Veterinary Diagnostic Investigation
Published
2025-01-27
DOI
https://doi.org/10.1177/10406387241313448
Citations
2
Primary Topic
Entomopathogenic Microorganisms in Pest Control
Type
article
Field-Weighted Citation Impact
3.34
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development of a qPCR assay to identify and differentiate insect-associated strains of the Serratia marcescens complex

Marc S. Marenda, Michael Lynch, Nicholas P. Doidge, Glenn Francis Browning et al.
2 citations
Journal of Veterinary Diagnostic Investigation
Entomopathogenic Microorganisms in Pest Control
3.34
article

Development of a qPCR assay to identify and differentiate insect-associated strains of the Serratia marcescens complex

Marc S. Marenda, Michael Lynch, Nicholas P. Doidge, Glenn Francis Browning, Joanne L. Allen, Rhys N. Bushell
article en
2 citations

Abstract

The <i>Serratia marcescens</i> complex contains important opportunistic pathogens of humans and vertebrate animals, as well as insects and other invertebrates. To date, the methods used for the identification of species within the genus <i>Serratia</i>, including PCR assays, have poor discriminatory power and may require further molecular typing or genomic sequence analysis to determine clinical relevance. We developed a duplex TaqMan probe-based quantitative real-time PCR (qPCR) assay targeting the <i>chiP</i> gene, which is involved in chitin degradation and transport, and the <i>ureD</i> gene, which is involved in urease production. This allowed us to simultaneously identify all members of the <i>S. marcescens</i> complex (<i>chiP</i> positive) and differentiate those most likely to act as insect pathogens (<i>chiP</i> and <i>ureD</i> positive). We applied our assay to identify potentially entomopathogenic members of the <i>S. marcescens</i> complex in the context of a conservation program for the critically endangered insect <i>Dryococelus australis</i> and found it to be a useful aid for rapid and accurate detection of infection with <i>S. marcescens</i> complex strains in insects and determination of their clinical relevance. By targeting 2 genes likely to be virulence factors, this assay may also be of use for research investigating the pathogenesis of entomopathogenic <i>Serratia</i> spp.

Journal of Veterinary Diagnostic InvestigationVol. 37(2)
The University of Melbourne (AU), Zoos Victoria (AU)
Reduced inequalities, Peace, Justice and strong institutions
Openalex Percentile: Top 11%
Entomopathogenic Microorganisms in Pest Control
3.34
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.