GBS

GBS detects copy number variations (CNVs) from genotyping-by-sequencing data to identify deletions and duplications across populations.

Key Features:

• Affordable high-throughput analysis: Enables cost-effective characterization of CNVs at population scale using sequencing data.
• Detection of CNV types: Identifies homozygous deletions, hemizygous deletions, and duplications.
• Modular integration: Supports combining multiple sequencing libraries or runs to accommodate varying study designs.
• Sensitivity and precision: Reported approximate detection thresholds are ~60 kb for homozygous deletions, ~500 kb for hemizygous deletions, and ~1 Mb for duplications.
• Validation against established methods: Validated in soybean fast neutron mutagenesis experiments against array comparative genomic hybridization (aCGH), targeted PCR, and droplet digital PCR (ddPCR).

Scientific Applications:

• Reverse genetic screens: Characterizes induced mutations across populations generated by methods such as fast neutron mutagenesis.
• Large-scale genomic studies: Enables population-wide CNV assessment across hundreds to thousands of individuals.

Methodology:

Sequence DNA samples, count reads per sample in discrete genomic bins along a reference genome, and infer CNVs by comparing observed read densities to expected values; the delgbs R package supports CNV detection from GBS read-count data.