2 research outputs found
Whole-exome sequencing of selected bread wheat recombinant inbred lines as a useful resource for allele mining and bulked segregant analysis
Although wheat (Triticum aestivum L.) is the main staple crop in the world and a
major source of carbohydrates and proteins, functional genomics and allele
mining are still big challenges. Given the advances in next-generation
sequencing (NGS) technologies, the identification of causal variants
associated with a target phenotype has become feasible. For these reasons,
here, by combining sequence capture and target-enrichment methods with
high-throughput NGS re-sequencing, we were able to scan at exome-wide
level 46 randomly selected bread wheat individuals from a recombinant inbred
line population and to identify and classify a large number of single nucleotide
polymorphisms (SNPs). For technical validation of results, eight randomly
selected SNPs were converted into Kompetitive Allele-Specific PCR (KASP)
markers. This resource was established as an accessible and reusable molecular
toolkit for allele data mining. The dataset we are making available could be
exploited for novel studies on bread wheat genetics and as a foundation for
starting breeding programs aimed at improving different key agronomic traits