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Molecular Probe Optimization to Determine Cell Mortality in a Photosynthetic Organism Microcystis aeruginosa Using Flow Cytometry
Published on: January 29, 2016
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Best practices in the flow cytometry of microalgae
Dora Čertnerová1, David W Galbraith2,3
1Faculty of Science, Department of Botany, Charles University, Prague, Czech Republic.
Summary
Flow cytometry (FCM) is a valuable tool for estimating microalgal genome size, but methodological challenges exist. Optimizing sample preparation and nuclear isolation is crucial for accurate DNA content analysis in these diverse organisms.
Area of Science:
- Microbiology
- Genomics
- Biotechnology
Background:
- Microalgae are vital photosynthetic microorganisms with significant ecological roles.
- They produce diverse secondary metabolites, driving interest in their biotechnological applications.
- Flow cytometry (FCM) is effective for genome size estimation in plants and animals, but faces challenges in microalgae.
Purpose of the Study:
- To highlight the methodological challenges of applying flow cytometry (FCM) for genome size estimation in microalgae.
- To emphasize the importance of optimized sample preparation and nuclear isolation techniques.
- To underscore the vast diversity in microalgal nuclear DNA content and the need for caution in ploidy assignment.
Main Methods:
- Discusses the application of flow cytometry (FCM) for genome size estimation.
- Details sample preparation challenges, including biomass requirements and fixation/extraction needs.
- Explains essential techniques for isolating intact nuclei, such as lysis buffers, enzymatic digestion, and bead-beating.
Main Results:
- Microalgal nuclear DNA content varies dramatically, spanning a 30,000-fold range (0.01 to 286 pg).
- Current genome size standards often rely on animal or plant tissues, with new algal standards emerging.
- Accurate 1C/2C-value and ploidy level assignments require careful consideration due to limited knowledge of microalgal life cycles.
Conclusions:
- Optimized FCM protocols are essential for reliable microalgal genome size determination.
- Addressing challenges like cell wall composition and secondary metabolites is key for successful analysis.
- Further research into microalgal life cycles will improve the accuracy of ploidy level assessments.

