RNA-seq-based mapping and candidate identification of mutations from forward genetic screens

Area of Science:

• Genetics
• Molecular Biology
• Bioinformatics

Background:

• Forward genetic screens are crucial for discovering gene functions but identifying causative mutations is challenging, especially in vertebrates.
• Current methods for mutation identification can be time-consuming and labor-intensive, hindering research progress.

Purpose of the Study:

• To develop and validate a novel RNA-sequencing (RNA-seq) based approach for efficient mapping and identification of mutations from forward genetic screens in vertebrate models.
• To create an accessible bioinformatics pipeline to facilitate the implementation of this RNA-seq method.

Main Methods:

• Utilized RNA-sequencing (RNA-seq) to analyze samples from forward genetic screens in zebrafish.
• Developed computational algorithms to pinpoint genomic regions linked to mutations and identify candidate causal lesions.
• Validated the method's ability to detect various mutation types, including nonsense/missense codons, splicing alterations, and gene expression changes.

Main Results:

• The RNA-seq based approach successfully mapped mutation locations and identified candidate causal mutations in zebrafish.
• The method accurately detected diverse mutation types affecting protein sequence, transcript splicing, and gene expression levels.
• An accessible bioinformatics pipeline was developed, simplifying the application of the RNA-seq method.

Conclusions:

• RNA-sequencing offers a fast, reliable, and cost-effective solution for mutation mapping and identification in vertebrate forward genetics.
• This method significantly enhances the efficiency and power of forward genetic screens in vertebrate model organisms.
• The developed bioinformatics pipeline democratizes access to advanced mutation identification techniques for researchers.