QTL-BSA

QTL-BSA identifies quantitative trait loci from QTL-seq whole-genome sequencing (WGS) data by integrating bulked segregant analysis (BSA) to locate genomic regions associated with phenotypic traits.

Key Features:

• QTL-seq analysis: Implements a genome-assisted QTL-seq strategy for detecting QTLs from pooled sequencing data.
• Bulked Segregant Analysis (BSA): Integrates BSA of two bulked populations derived from a segregating progeny with contrasting phenotypes.
• Whole Genome Sequencing (WGS) support: Processes WGS-derived variant and allele frequency information from pooled samples.
• High-throughput processing: Applies a high-throughput genome-assisted workflow to accelerate candidate QTL identification.
• Visualization: Provides visualization of QTL-seq results and identified genomic regions.
• Functional annotation: Facilitates functional annotation of genes and QTLs within identified regions.
• Programming capabilities: Exposes programming and analysis capabilities for downstream computational workflows.

Scientific Applications:

• QTL mapping in plant genomics: Identification of genomic regions associated with quantitative traits using WGS-derived bulks.
• Gene discovery for disease resistance: Applied to identify genes associated with partial blast resistance in rice, pinpointing a major QTL on chromosome 6 between 1.52 and 4.32 Mb (consistent with prior reports of 2.39–4.39 Mb).
• Functional analysis of candidate regions: Annotation and examination of genes and QTLs within detected loci for downstream biological interpretation.

Methodology:

Uses a high-throughput genome-assisted QTL-seq strategy that integrates bulked segregant analysis (BSA) with WGS data from two bulks of segregating progeny with contrasting phenotypes, analyzes allele frequency differences to identify candidate QTLs, and performs functional annotation and visualization of identified regions.