Development of a Flex-Seq SNP panel for raspberry (Rubus idaeus L.) and validation through linkage map construction and identification of QTL for several traits of agronomic importance to raspberry breeding
High-throughput and reproducible genotyping platforms are critical for advancing genetic research and breeding in horticultural crops. Here, the development and validation of a custom single nucleotide polymorphism (SNP) panel using the Flex-Seq genotyping platform for red raspberry (Rubus idaeus L.) is described. SNPs were derived from existing linkage maps and RNA-seq data, resulting in a panel of 5,639 high-confidence, bi-allelic markers distributed across the seven chromosomes of the R. idaeus 'Malling Jewel' reference genome. The panel was used to genotype 457 red raspberry accessions including 161 individuals from a bi-parental mapping population (Paris×486), enabling the construction of high-density linkage maps and the identification of quantitative trait loci (QTL) for fruit size, leaf colour, plant vigour, and thorn density. Genome-wide association studies (GWAS) identified a major QTL for thornlessness on chromosome 4, co-locating with a candidate HOX3 gene, and multiple QTLs associated with anthocyanin biosynthesis genes for leaf colour. The SNP panel demonstrated utility for linkage mapping and trait association analyses, offering a powerful resource for marker-assisted selection and genetic improvement in red raspberry.
Authors
- Jahn Davik (ORCID: https://orcid.org/0000-0002-3621-6888)
- Matteo Buti (ORCID: https://orcid.org/0000-0002-1430-7826)
- Linda Milne
- Julie Graham
- Paolo Zucchi
- Daniel James Sargent
Institutions
- National Institute of Agricultural Botany (GB)
- James Hutton Institute (GB)
- IRCCS Azienda Ospedliero-Universitaria di Bologna Policlinico di Sant'Orsola (IT)
- Norwegian Institute of Bioeconomy Research (NO)
- University of Florence (IT)
Publication Details
- Journal
- PLoS ONE
- Published
- 2026-02-17
- DOI
- https://doi.org/10.1371/journal.pone.0328606
- Primary Topic
- Berry genetics and cultivation research
- Type
- article
- Field-Weighted Citation Impact
- 0.00