LGC has the ability to deliver evenly distributed validated KASP™ assays across sequenced genome of choice for NIL (near-isogenic lines) development and introgression studies. An increase in genetic diversification without loss of valuable traits can be monitored using assays with a genetic distance of 1cM. Minimum number for accuracy would be 20 samples.

KASP in action

The below papers have KASP technology at the heart of the study:

A paper titled “Development of a next-generation NIL library in Arabidopsis thaliana for dissecting complex traits” was published in BMC Genomics. KASP SNP genotyping assays were used for sub-NIL development. Near-isogenic lines are the ideal raw material for QTL validation, refinement of QTL location and, ultimately, gene discovery.

A paper titled “Copy Number Variation Affecting the Photoperiod-B1 and Vernalization-A1 Genes Is Associated with Altered Flowering Time in Wheat (Triticum aestivum)” was published on PLoS ONE. The paper discusses how flowering time has been extensively manipulated in crops such as wheat (Triticum aestivum L.) during domestication, and this enables them to grow productively in a wide range of environments.

Several major genes controlling flowering time have been identified in wheat with mutant alleles having sequence changes such as insertions, deletions or point mutations. Genetic and genomic approaches such as KASP showed that in both cases alleles conferring altered flowering time had an increased copy number of the gene and altered gene expression, playing a significant role in wheat adaptation.

We want to help you with your specific application, so contact us if you would like more information or to receive and discuss examples of our work in your particular field of research.

We find that researchers often require a genotyping technology that offers more flexibility and accuracy to handle any combination of samples and markers. Once a particular study is completed, it is possible to effectively validate numerous SNP assays that can be used to identify genetic markers associated with QTL’s, enabling MAS.