solQTL: a tool for QTL analysis, visualization and linking to genomes at SGN database

Area of Science:

• Genomics
• Bioinformatics
• Plant Science

Background:

• Understanding the genetic basis of complex traits often involves identifying quantitative trait loci (QTL).
• Fine-mapping QTLs is traditionally labor-intensive, requiring extensive backcrossing and population analysis.
• Integrating diverse biological data (genomic, expression, phenotypic) remains a challenge for linking variation.

Purpose of the Study:

• To develop and present solQTL, a novel bioinformatics module for quantitative trait loci (QTL) data management and analysis.
• To provide a user-friendly platform for researchers studying the Solanaceae family and related species.

Main Methods:

• The Sol Genomics Network (SGN) developed solQTL, a web-based module integrated with existing databases and tools.
• solQTL facilitates uploading raw phenotype and genotype data, performing on-the-fly QTL analysis using R/QTL.
• It offers online visualization and cross-referencing of QTL data with genetic maps, expression data, and genome annotations.

Main Results:

• solQTL enables researchers to upload genotype and phenotype data for QTL analysis within the SGN environment.
• The module dynamically links QTL results to relevant genetic, expression, and genome annotation datasets.
• This facilitates the identification of candidate genes and markers associated with phenotypic variation.

Conclusions:

• solQTL streamlines the process of QTL analysis and candidate gene identification for Solanaceae researchers.
• The tool enhances data exploration and synthesis by integrating diverse biological information.
• solQTL is freely accessible on SGN, supporting both private and public research endeavors.