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Published on: June 15, 2022
The Dynamics of Cryptococcus neoformans infection in Galleria mellonella
Daniel F Q Smith1, Aviv Bergman2,3, Arturo Casadevall1
1Department of Molecular Microbiology and Immunology, Johns Hopkins School of Public Health, Baltimore, Maryland, USA.
Abstract:
Galleria mellonella has emerged as an important host for the study of fungal virulence, insect immune responses, and the evaluation of antifungal agents. In this study we investigated the dynamics of fungal infections in G. mellonella using Cryptococcus neoformans, a human pathogenic fungus. Since the analysis of infection dynamics requires a fine temporal resolution of larval death, we employed a photographic timelapse technique that allowed us to simultaneously measure death by proxy of larval melanization and absence of movement. Larval mortality occurred in two phases, early and late, which differed in their timing of melanization. Early phase deaths occurred with rapid whole-body onset of melanization, followed by sudden cessation of movement several hours later. Contrastingly, late phase deaths occurred with a gradual cessation of movement, followed by melanization, typically radiating from one location on the larva. The differences in mortality kinetics suggests differences in fungal pathogenesis with one population succumbing early while the rest linger for later death. Subsequent analysis of mortality data using the inversion method revealed predictable deterministic dynamics without evidence for chaotic signatures, indicating that this C. neoformans-G. mellonella infection model behaves differently than bacterial-insect models.
Insights
This study reveals two distinct phases of fungal infection dynamics in Galleria mellonella larvae using Cryptococcus neoformans. The research highlights predictable patterns in insect mortality, differing from bacterial infection models.
Area of Science:
- Mycology
- Insect Pathology
- Infectious Disease Dynamics
Background:
- Galleria mellonella is a key model organism for studying fungal virulence and insect immunity.
- Cryptococcus neoformans is a significant human fungal pathogen, making its study in insect models relevant.
Purpose of the Study:
- To investigate the temporal dynamics of fungal infections in G. mellonella using C. neoformans.
- To characterize distinct phases of larval mortality and their associated pathogenesis.
Main Methods:
- Utilized a photographic timelapse technique for high-resolution monitoring of larval death.
- Measured mortality through larval melanization and cessation of movement.
- Analyzed mortality data using the inversion method to assess deterministic dynamics.
Main Results:
- Identified two distinct phases of larval mortality: early and late.
- Early deaths showed rapid melanization followed by immobility; late deaths exhibited gradual immobility preceding melanization.
- Fungal infection dynamics in this model demonstrated predictable deterministic patterns, unlike some bacterial-insect models.
Conclusions:
- The observed mortality patterns suggest different C. neoformans pathogenesis strategies within the G. mellonella host.
- The C. neoformans-G. mellonella model exhibits predictable dynamics, offering a unique system for studying fungal infections.
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