CD Genomics uses bioinformatics to provide QTL-Seq analysis service and help you quickly locate the extreme trait genes. Our unique skills in data analysis can meet customers' personalized data analysis needs and provide the most comprehensive data analysis.
Quantitative trait locus (QTL)-Seq is a method that combines bulked segregant analysis (BSA) and high-throughput whole-genome re-sequencing to detect the major locus of a certain quantitative trait in a segregating population.
QTL-Seq selects parents that show a contrasting phenotype on a trait of interest to build a segregating population—either F2 recombinant inbred lines, double haploid, or backcross populations—and then selects two groups of individual plants, each showing segregation of the trait to one of the parents, as two mixed pools to perform genotype analysis. The genomic position of the polymorphic molecular markers that shows significant segregation of genotypes is the region harboring the major QTL. Currently, BSA has been updated to QTL-Seq through the replacement of traditional markers such as RAPD (random amplification polymorphic DNA) or RFLP (restriction fragment length polymorphism) to SNP (single nucleotide polymorphism) markers, accompanied by high-throughput re-sequencing and SNP-index analysis. QTL-Seq has been widely and successfully used in many crop populations.
Fig 1. A simplified scheme of QTL-seq as applied to rice (Takagi H; et al.2013)
Special economic animals
Only mixed analysis of selected individuals in the population is necessary for genotyping according to traits, which can greatly reduce the workload and cost of research.
QTL-Seq shows much higher efficiency than the traditional QTL mapping, which is typically time-consuming and involves labor-intensive genotyping and maintenance of the mapping populations.
The original input data can be whole genome resequencing data or transcriptome sequencing data.
Quality evaluation of sequencing data
Raw data filtering
Gene coverage analysis
Comparison of polymorphism between parents
SNP frequency analysis of offspring
Target trait related area positioning
Analysis of target region candidate genes
The original input data is usually whole genome sequencing data or transcriptome sequencing data. If you have other types of data for BSA analysis, please feel free to contact us for details.
CD Genomics is a high-tech company specializing in multiomic data analysis. We provide services such as project design, data analysis, and database construction. With a focus on developing breakthrough products and services, we are a pioneer in the biotechnology industry, serving researchers and partners worldwide.
CD Genomics has over a decade of experience in QTL-Seq analysis. If you have any questions about how we can help you, please get in touch. We look forward to working with you!