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A High-Throughput Microtiter-Based Fungicide Sensitivity Assay for Oomycetes Using Z'-Factor Statistic
Zachary A Noel1,2, Alejandro J Rojas1,2, Janette L Jacobs1
1Department of Plant, Soil and Microbial Sciences, Michigan State University, East Lansing, MI 48824.
Phytopathology
|April 25, 2019
Summary
A new high-throughput assay quantifies oomycete fungicide sensitivity faster than traditional methods. This tool improves fungicide resistance monitoring for oomycete populations and communities.
Area of Science:
- Plant Pathology
- Mycology
- Agricultural Science
Background:
- Assessing oomycete fungicide sensitivity is crucial but current methods are slow and labor-intensive.
- Microtiter-based assays offer higher throughput but require robust quality control for reproducibility.
- Developing efficient and reliable methods for assay quality detection is essential for accurate fungicide phenotyping.
Purpose of the Study:
- To develop and validate a robust, high-throughput fungicide phenotyping assay for oomycetes.
- To implement quality control measures, including the Z' factor and growth curves, for assay reliability.
- To compare the accuracy and precision of the new assay against the established amended medium (gold standard) method.
Main Methods:
- Spectrophotometric quantification of oomycete mycelial growth in liquid culture.
- Utilized Z' factor for quality control, ensuring sufficient growth in control conditions.
- Employed growth curves to confirm active growth during EC50 estimation.
Main Results:
- The high-throughput assay demonstrated accuracy comparable to the gold standard method.
- Concordance correlation indicated high accuracy, though precision may be slightly lower than the amended medium assay.
- Successfully tested the sensitivity of 216 oomycete isolates to mefenoxam and ethaboxam.
Conclusions:
- The developed assay enables efficient, high-throughput fungicide phenotyping of oomycetes.
- This method facilitates fungicide sensitivity assessment at population and community levels.
- The assay's quality control mechanisms ensure reliable data for fungicide resistance monitoring.