A microscopy-based image analysis pipeline for the quantification of germination of filamentous fungi.

Autor: Ortiz SC; Manchester Fungal Infection Group, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Core Technology Facility, Grafton Street, Manchester M13 9NT, UK., Easter T; Manchester Fungal Infection Group, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Core Technology Facility, Grafton Street, Manchester M13 9NT, UK., Valero C; Manchester Fungal Infection Group, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Core Technology Facility, Grafton Street, Manchester M13 9NT, UK., Bromley MJ; Manchester Fungal Infection Group, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Core Technology Facility, Grafton Street, Manchester M13 9NT, UK., Bertuzzi M; Manchester Fungal Infection Group, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Core Technology Facility, Grafton Street, Manchester M13 9NT, UK. Electronic address: margherita.bertuzzi@manchester.ac.uk.
Jazyk: angličtina
Zdroj: Fungal genetics and biology : FG & B [Fungal Genet Biol] 2024 Nov 29; Vol. 176, pp. 103942. Date of Electronic Publication: 2024 Nov 29.
DOI: 10.1016/j.fgb.2024.103942
Abstrakt: Germination is the fundamental process whereby fungi transition from the dormant and stress resistant spores into actively replicating cells such as hyphae. Germination is essential for fungal colonization of new environments and pathogenesis, yet this differentiation process remains relatively poorly understood. For filamentous fungi, the study of germination has been limited by the lack of high-throughput, temporal, low cost, and easy-to-use methods of quantifying germination. To this end we have developed an image analysis pipeline to automate the quantification of germination from microscopy images. We have optimized this tool for the fungal pathogen Aspergillus fumigatus and demonstrated its potential applications by evaluating different strains, germination inhibitors, and auxotrophic and antifungal resistant mutants. Finally, we have expanded this tool to a variety of filamentous fungi and developed an easy-to-use web app for the fungal research community.
Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Dr. Bertuzzi reports was provided by University Of Manchester. Prof. Bromley is a former employee of F2G Ltdt. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)
Databáze: MEDLINE
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