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Updated: Jun 29, 2026

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Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
Published on: June 21, 2018
QTL detection with bidirectional and unidirectional selective genotyping: marker-based and trait-based analyses.
Alizera Navabi1, D E Mather, J Bernier
1Department of Agricultural, Food, and Nutritional Science, University of Alberta, Edmonton, AB, T6G 2P5, Canada. navabia@agr.gc.ca
Summary
Selective genotyping, a cost-effective method, efficiently detects quantitative trait loci (QTL) by analyzing extreme phenotypes. This approach enhances the screening of potential donors for beneficial alleles in plant breeding.
Area of Science:
- Quantitative genetics
- Plant breeding
- Genomic selection
Background:
- Selective genotyping analyzes extreme phenotypes to detect quantitative trait loci (QTL).
- Full-population genotyping is often costly or infeasible for large populations.
- This method is crucial for rapidly screening potential donors for alleles with significant effects.
Purpose of the Study:
- To evaluate the effectiveness of selective genotyping for QTL detection.
- To compare the power of bidirectional versus unidirectional selective genotyping.
- To assess the application of selective genotyping in cereal and rice breeding programs.
Main Methods:
- Simulated bidirectional and unidirectional selective genotyping in cereal breeding contexts.
- Applied trait-based and marker-based analyses.
- Tested selective genotyping on a rice population segregating for a grain yield QTL under drought stress.
Main Results:
- Selective genotyping, particularly bidirectional, demonstrated high power for QTL detection, even with small sample sizes (e.g., 6% or 4.5% of the population).
- Trait-based and marker-based analyses showed comparable power.
- A large-effect QTL for rice grain yield under drought was reliably detected using selective genotyping.
Conclusions:
- Selective genotyping significantly reduces the cost of QTL detection, enabling broader screening of germplasm.
- It facilitates the identification of useful alleles across diverse genetic backgrounds.
- This method is a valuable tool for plant breeding programs aiming to detect QTL with limited progeny.
