Quantitative phenotypic analysis of yeast deletion mutants using a highly parallel molecular bar-coding strategy

Area of Science:

• Molecular Biology
• Genomics
• Yeast Genetics

Background:

• Thousands of newly identified open reading frames (ORFs) in Saccharomyces cerevisiae require functional characterization.
• Understanding gene function is crucial for advancing biological research and applications.

Purpose of the Study:

• To develop a quantitative, parallel method for analyzing deletion mutants to determine the biological function of yeast ORFs.
• To enable high-throughput functional genomics studies in Saccharomyces cerevisiae.

Main Methods:

• Utilized a PCR targeting strategy to generate a large collection of yeast deletion strains.
• Each deletion strain was labeled with a unique 20-base DNA tag sequence (molecular barcode).
• Employed high-density oligonucleotide arrays for specific, sensitive, and quantitative detection of tag sequences via hybridization.

Main Results:

• Demonstrated the specificity, sensitivity, and quantitative nature of the oligonucleotide array hybridization.
• Successfully used unique DNA tags for simultaneous analysis of numerous deletion strains under selective growth conditions.
• A pilot study with 11 known yeast genes indicated the method's scalability to the entire yeast genome.

Conclusions:

• The developed method provides a powerful tool for high-throughput functional analysis of yeast genes.
• This approach allows for whole-genome analysis of gene function using a single selective growth condition and hybridization.
• Facilitates rapid determination of biological functions for thousands of ORFs in Saccharomyces cerevisiae.