Direct visualization of fungal burden in filamentous fungus-infected silkworms

ORCID
0000-0002-2845-1175
Zugehörigkeit
Interdisciplinary Center for Clinical Research Laboratory, Department of Internal Medicine II, Würzburg University Hospital, 97080 Würzburg, Germany, Yu_Y1@ukw.de
Yu, Yidong;
Zugehörigkeit
Interdisciplinary Center for Clinical Research Laboratory, Department of Internal Medicine II, Würzburg University Hospital, 97080 Würzburg, Germany, Wolf_A7@ukw.de
Wolf, Ann-Katrin;
Zugehörigkeit
Interdisciplinary Center for Clinical Research Laboratory, Department of Internal Medicine II, Würzburg University Hospital, 97080 Würzburg, Germany, Thusek_S@ukw.de
Thusek, Sina;
GND
123957826
ORCID
0000-0001-9503-9634
Zugehörigkeit
Department of Molecular and Applied Microbiology, Leibniz Institute for Natural Product Research and Infection Biology—Hans Knöll Institute, 07745 Jena, Germany, Thorsten.Heinekamp@hki-jena.de
Heinekamp, Thorsten;
Zugehörigkeit
Manchester Fungal Infection Group, University of Manchester, Manchester M13 9PL, UK, mike.bromley@manchester.ac.uk
Bromley, Michael;
ORCID
0000-0002-8299-7777
Zugehörigkeit
Institute for Clinical Microbiology, Immunology and Hygiene, Erlangen University Hospital, 91054 Erlangen, Germany, Sven.Krappmann@uk-erlangen.de
Krappmann, Sven;
GND
137357761
ORCID
0000-0003-3031-3422
Zugehörigkeit
Department of Biotechnology and Biophysics, Theodor-Boveri-Institute, Biocenter, University of Würzburg, 97074 Würzburg, Germany, ulrich.terpitz@uni-wuerzburg.de
Terpitz, Ulrich;
GND
124730663
ORCID
0000-0002-1345-9991
Zugehörigkeit
Jena Microbial Resource Collection, Leibniz Institute for Natural Product Research and Infection Biology—Hans Knöll Institute, 07745 Jena, Germany, kerstin.voigt@leibniz-hki.de
Voigt, Kerstin;
GND
1138445681
Zugehörigkeit
Department of Molecular and Applied Microbiology, Leibniz Institute for Natural Product Research and Infection Biology—Hans Knöll Institute, 07745 Jena, Germany, Axel.Brakhage@hki-jena.de
Brakhage, Axel A.;
Zugehörigkeit
Interdisciplinary Center for Clinical Research Laboratory, Department of Internal Medicine II, Würzburg University Hospital, 97080 Würzburg, Germany, Beilhack_A@ukw.de
Beilhack, Andreas

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.

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