Direct Visualization of Fungal Burden in Filamentous Fungus-Infected Silkworms

Author:

Yu YidongORCID,Wolf Ann-Katrin,Thusek Sina,Heinekamp ThorstenORCID,Bromley Michael,Krappmann SvenORCID,Terpitz UlrichORCID,Voigt KerstinORCID,Brakhage Axel A.,Beilhack Andreas

Abstract

Invasive fungal infections (IFIs) are difficult to diagnose and to treat and, despite several available antifungal drugs, cause high mortality rates. In the past decades, the incidence of IFIs has continuously increased. More recently, SARS-CoV-2-associated lethal IFIs have been reported worldwide in critically ill patients. Combating IFIs requires a more profound understanding of fungal pathogenicity to facilitate the development of novel antifungal strategies. Animal models are indispensable for studying fungal infections and to develop new antifungals. However, using mammalian animal models faces various hurdles including ethical issues and high costs, which makes large-scale infection experiments extremely challenging. To overcome these limitations, we optimized an invertebrate model and introduced a simple calcofluor white (CW) staining protocol to macroscopically and microscopically monitor disease progression in silkworms (Bombyx mori) infected with the human pathogenic filamentous fungi Aspergillus fumigatus and Lichtheimia corymbifera. This advanced silkworm A. fumigatus infection model could validate knockout mutants with either attenuated, strongly attenuated or unchanged virulence. Finally, CW staining allowed us to efficiently visualize antifungal treatment outcomes in infected silkworms. Conclusively, we here present a powerful animal model combined with a straightforward staining protocol to expedite large-scale in vivo research of fungal pathogenicity and to investigate novel antifungal candidates.

Funder

Deutsche Forschungsgemeinschaft

Wellcome Trust

Publisher

MDPI AG

Subject

Plant Science,Ecology, Evolution, Behavior and Systematics,Microbiology (medical)

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