Capture-Seq is the most comprehensive targeted genotyping system for discovering and characterizing the genome for:
Any organism can be analyzed using Capture-Seq, and we offer a suite of validated, ready-made Capture-Seq panels for industry-wide standardization of genotyping data.
|Genotyping System||Targeted Genotyping Data||Data Interval per Target||Development Cost||Ease of Customization & Adaptation||Missing Data %||Ascertainment Bias||Read Depth at Targets (Equivalent Sequencing)||Repeatability||Suitable for Novel Marker Discovery||Suitable for Haplotype REconstruction||Ease if Copy Number & Dosage Detection||Analytical Complexity|
|Capture-Seq||Yes||400-500bp||Low||High||Low||Low||Predictable & Controllable||High||Yes||Yes||High||Low|
|RADSeq/GBS||No||90bp||Low||Very Low||High||N/A||Often Low||Low||Yes||Yes||Low||High|
Capture-Seq flexibly targets SNPs, genes, and QTLs at the same time to produce sequence data at each region, instead of a single SNP, through the power of NGS. This enables Capture-Seq to provide greater genomic insights into breeding material and training populations, including the ability to phase alleles into haplotypes for more effective polyploid results.
Capture-Seq panels are suitable for different breeding programs of the same or closely related species, ensuring comprehensive pre-breeding marker discovery with minimal risk of ascertainment bias and wasted resources.
Capture-Seq uses targeted probe hybridization technology to selectively recover regions of interest throughout the genome of any species.
Restriction enzyme genotyping-by-sequencing (GBS), sometimes called RADseq, datasets are inconsistent and produce high levels of missing data, especially in polyploid plants, making agricultural applications more challenging or impossible.
Capture-Seq leads the genotyping industry in low missing data. This ensures consistent, effective applications of breeding data to improve genetic gains.
|Species||Genotyping Objective||# Capture-Seq Targets||# SNPs Detected||Missing data %|
|Maize||Fine mapping resistance genes (R-genes)||5,000||4,623||0.15|
|Sugarcane||Genomic selection and genetic mapping||10,000||37,976||0.1|
|Loblolly Pine||Genomic selection||20,000||67,525||0.002|
|Blueberry||Genomic selection and genetic mapping||31,000||205,057||0.03|