The dynamics of Cryptococcus neoformans infection in Galleria mellonella

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 time-lapse 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 suggest 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 but did not observe evidence of chaotic signatures. While this does not preclude the existence of chaos, it indicates that this C. neoformans-G. mellonella infection model may behave differently than bacterial-insect models.