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Genetic Mapping of Thermotolerance Differences Between Species of Saccharomyces Yeast via Genome-Wide Reciprocal Hemizygosity Analysis
Published on: August 12, 2019
Genetic complexity and quantitative trait loci mapping of yeast morphological traits
Satoru Nogami1, Yoshikazu Ohya, Gaël Yvert
1Department of Integrated Biosciences, Graduate School of Frontier Sciences, University of Tokyo, Kashiwa, Chiba, Japan.
Plos Genetics
|February 27, 2007
Summary
Investigating natural genetic diversity in Saccharomyces cerevisiae revealed complex cellular morphology traits. This study highlights the necessity of combining genetic variation analysis with gene deletion studies for comprehensive genome exploration.
Area of Science:
- Genomics
- Cell Biology
- Yeast Genetics
Background:
- Functional genomics requires sensitive phenotypic measures and the ability to detect genomic perturbations.
- Model organisms offer gene manipulation but can have phenotyping limitations.
- Natural genetic variations can be linked to phenotypes via genetic mapping.
Purpose of the Study:
- To investigate the natural genetic diversity of Saccharomyces cerevisiae cellular morphology.
- To identify genomic loci controlling morphological traits.
- To explore the relationship between genetic variation, morphology, and gene expression.
Main Methods:
- Utilized a high-throughput imaging platform to quantify 501 morphological parameters in over 50,000 yeast cells.
- Crossed two divergent wild-type Saccharomyces cerevisiae strains.
- Mapped quantitative trait loci (QTL) and correlated trait segregation with gene expression levels.
Main Results:
- Identified extensive morphological differences between divergent yeast backgrounds.
- Characterized complex genetic architectures, including epistasis and transgressive segregation.
- Mapped QTL for 67 traits and discovered 364 correlations between trait segregation and gene expression.
Conclusions:
- Natural yeast strains exhibit significant diversity and complexity in cellular traits.
- Combining natural variation studies with gene deletion approaches is crucial for functional genomics.
- The study provides a framework for dissecting multiple traits using genetical genomics.
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