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CAYSS: Package for Automatic Cytometry Analysis of Yeast Spore Segregation
Xavier Raffoux1, Matthieu Falque1
1INRAE, CNRS, AgroParisTech, Université Paris-Saclay, Gif-sur-Yvette, France.
Yeast (Chichester, England)
|January 23, 2025
Summary
CAYSS software automates yeast recombination analysis from flow cytometry data. This tool saves significant time and ensures reproducible results for measuring genetic diversity and adaptation.
Area of Science:
- Genetics
- Evolutionary Biology
- Computational Biology
Background:
- Meiotic recombination generates genetic diversity crucial for adaptation.
- Quantifying recombination rates is challenging due to large offspring sample sizes.
- Flow cytometry of yeast spores offers an efficient method for recombination measurement.
Purpose of the Study:
- To introduce CAYSS, a software package for automated analysis of yeast meiotic recombination.
- To validate CAYSS by comparing its results to manual analysis of flow cytometry data.
Main Methods:
- Development of the CAYSS package for automated analysis of yeast spore fluorescence data.
- Application of Maximum-Likelihood estimation for fluorescence extinction within CAYSS.
- Comparative analysis of recombination rates and interference between manual and CAYSS methods.
Main Results:
- CAYSS automatically reproduces manual analysis steps for yeast recombination.
- Recombination rates and interference measurements showed less than 3% average difference between manual and CAYSS analyses.
- Strong correlations (R² > 0.9) were observed between the two analysis methods.
Conclusions:
- CAYSS significantly reduces human time required for yeast recombination analysis.
- The CAYSS package provides highly reproducible and accurate results compared to manual methods.
- Automated analysis with CAYSS enhances the efficiency of studying genetic diversity and adaptation.
