Refined methodology for quantifying <i>Pseudomonas aeruginosa</i> virulence using <i>Galleria mellonella</i>
Larvae of <i>Galleria mellonella</i> (the greater wax moth) are being increasingly used as a model to study microbial pathogenesis. In this model, bacterial virulence is typically measured by determining the 50% lethal dose (LD<sub>50</sub>) of a bacterial strain or mutant. The use of <i>G. mellonella</i> to study <i>Pseudomonas aeruginosa</i> pathogenesis, however, is challenging because of the extreme sensitivity of larvae to this bacterium. For some <i>P. aeruginosa</i> strains, as few as 1-5 colony-forming units are sufficient to kill <i>G. mellonella,</i> which poses challenges for determining LD<sub>50</sub> values. For this reason, some groups have used time-to-death as a measure of <i>P. aeruginosa</i> virulence, but methodologies have not been standardized. We provide a detailed protocol for using the time at which 50% of larvae have died (LT<sub>50</sub>) at a particular inoculum as a measure of <i>P. aeruginosa</i> virulence. We also describe a quality control metric for enhancing the reproducibility of LT<sub>50</sub> values. This approach provides an accurate and reproducible methodology for using <i>G. mellonella</i> larvae to measure and compare the virulence of <i>P. aeruginosa</i> strains.IMPORTANCE<i>Pseudomonas aeruginosa</i> is a significant cause of morbidity and mortality. The invertebrate <i>Galleria mellonella</i> is used as a model to determine the virulence of <i>P. aeruginosa</i> strains. We provide a protocol and analytical approach for using a time-to-death metric to accurately quantify the virulence of <i>P. aeruginosa</i> strains in <i>G. mellonella</i> larvae. This methodology, which has several advantages over 50% lethal dose approaches, is a useful resource for the study of <i>P. aeruginosa</i> pathogenicity.
Authors
- Sumitra D. Mitra (ORCID: https://orcid.org/0000-0001-7239-4000)
- D. Hynes
- Tania Afzal
- Aliki Valdes
- Prarthana Prashanth (ORCID: https://orcid.org/0009-0007-9901-4494)
- William Cheng (ORCID: https://orcid.org/0009-0003-5553-3672)
- Marc H. Scheetz (ORCID: https://orcid.org/0000-0002-1091-6130)
- Travis J. Kochan (ORCID: https://orcid.org/0000-0002-7560-8550)
- Alan R. Hauser (ORCID: https://orcid.org/0000-0003-4596-7939)
- Timothy J. Ward (ORCID: https://orcid.org/0000-0003-0864-2561)
- Joanne Lee (ORCID: https://orcid.org/0000-0002-7935-3233)
- Timothy L. Turner (ORCID: https://orcid.org/0000-0003-4276-5864)
- Kelly E. R. Bachta (ORCID: https://orcid.org/0000-0001-8838-5117)
- Julia Nelson
- Sophie Nozick
- Nathan B. Pincus (ORCID: https://orcid.org/0000-0002-3134-7176)
- Ethan M. VanGosen (ORCID: https://orcid.org/0009-0001-4219-3774)
- Christopher M. R. Axline (ORCID: https://orcid.org/0009-0002-8392-5991)
- Issay Niki
Institutions
- Tufts University (US)
- Midwestern University (US)
- Hamilton College (US)
- Northeastern Illinois University (US)
- Yale University (US)
- Illinois Mathematics and Science Academy (US)
- Midwestern State University (US)
Publication Details
- Journal
- Microbiology Spectrum
- Published
- 2024-12-12
- DOI
- https://doi.org/10.1128/spectrum.01666-24
- Citations
- 4
- Primary Topic
- Insect Resistance and Genetics
- Type
- article
- Field-Weighted Citation Impact
- 0.94
Funders
- Northwestern University
- National Institutes of Health