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Application of Membrane and Cell Wall Selective Fluorescent Dyes for Live-Cell Imaging of Filamentous Fungi
Published on: November 28, 2019
Morphological quantification of filamentous fungal development using membrane immobilization and automatic image
David J Barry1, Cecilia Chan, Gwilym A Williams
1School of Biological Sciences, Dublin Institute of Technology, Kevin Street, Dublin 8, Ireland. david.barry@dit.ie
A new image analysis system quantifies fungal morphology in industrial fermentations. This tool accurately measures filamentous growth, aiding in optimizing productivity for microorganisms like Aspergillus oryzae.
Area of Science:
- Microbiology
- Biotechnology
- Industrial Fermentation
Background:
- Mycelial morphology is crucial for productivity in industrial fermentations of filamentous microorganisms.
- Accurate quantification of complex fungal morphologies remains a significant challenge.
- Understanding morphology-phenotype-productivity relationships is key to optimizing fermentation processes.
Purpose of the Study:
- To develop and validate a high-resolution image analysis system for characterizing filamentous fungal growth on solid substrates.
- To quantify the microscopic development of Aspergillus oryzae, linking morphology to growth kinetics.
- To assess the robustness of the developed image analysis system.
Main Methods:
- Utilized membrane immobilization and automated plug-ins for Java-based ImageJ software.
- Quantified spore projected area, circularity, hyphal element length, tip number, and hyphal growth unit.
- Analyzed growth stages from spore swelling to branched hyphae over 24 hours.
Main Results:
- Spore swelling increased linearly with time; widespread germination observed by 8 hours.
- Hyphal tip number increased exponentially from approximately 12 hours.
- Calculated specific growth rate of 0.24-0.27 h⁻¹, noting significant population variation.
Conclusions:
- The developed image analysis system provides high-resolution characterization of fungal morphology.
- The system accurately quantifies key growth parameters, enabling better understanding of morphology-productivity relationships.
- This tool facilitates optimization of industrial fermentation processes by providing detailed insights into microbial development.
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