A high-throughput technique to quantify bacterial pathogens' virulence on the insect model Galleria mellonella

Nathalie Parthuisot; Jacques Rouquette; Jean-Baptiste Ferdy

doi:10.1016/j.mimet.2018.07.013

A high-throughput technique to quantify bacterial pathogens' virulence on the insect model Galleria mellonella

J Microbiol Methods. 2018 Sep:152:69-72. doi: 10.1016/j.mimet.2018.07.013. Epub 2018 Jul 30.

Authors

Nathalie Parthuisot¹, Jacques Rouquette², Jean-Baptiste Ferdy³

Affiliations

¹ Évolution et Diversité Biologique - UMR 5174 CNRS-UPS Université Paul Sabatier - F-31062, Toulouse cedex 9, France. Electronic address: [email protected].
² ITAV, Université de Toulouse, CNRS, UPS, France.
³ Évolution et Diversité Biologique - UMR 5174 CNRS-UPS Université Paul Sabatier - F-31062, Toulouse cedex 9, France.

PMID: 30071255
DOI: 10.1016/j.mimet.2018.07.013

Abstract

We combined spectrophotometry and an original statistical approach to infer bacteria virulence, using the lepidoptera Galleria mellonella as a host model. With this method, it is possible to use a microplate reader to automatize data collection on host survival on batches of 96 samples. The method also allows measurement of pathogen multiplication if GFP labelled bacterial strains are used.

Keywords: Galleria mellonella; Spectrophotometry; Virulence.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Animals
Bacteria / pathogenicity*
Disease Models, Animal*
Insecta / microbiology*
Larva / microbiology
Lepidoptera / microbiology*
Moths / microbiology
Spectrophotometry / methods*
Virulence
Virulence Factors

Substances

Virulence Factors