Quantitative trait loci mapping of polyphenol metabolites from a 'Latham' x 'Glen Moy' red raspberry (Rubus idaeus L) cross

ObjectiveThe objective of this study was to investigate the genetic control of polyphenol accumulation in red raspberry (Rubus idaeus L).MethodsThe levels of total anthocyanins and 37 individual polyphenol metabolites were measured over three years in a raspberry biparental mapping population. Quantitative trait loci (QTLs) for these traits were mapped onto a high-density SNP linkage map.ResultsAt least one QTL was detected for each trait, with good consistency among the years. On four linkage groups (LG), there were major QTLs affecting several metabolites. On LG1, a QTL had large effects on anthocyanins and flavonols containing a rutinoside or rhamnose group. On LG4, a QTL had large effects on several flavonols and on LG5 and LG6 QTLs had large effects on ellagic acid derivatives. Smaller QTLs were found on LG2 and LG3.ConclusionThe identification of robust QTLs for key polyphenols in raspberry provides great potential for marker-assisted breeding for improved levels of potentially health beneficial components.

Automated summary

This study investigated the genetic control of polyphenol accumulation in red raspberry through measuring the levels of total anthocyanins and 37 individual polyphenol metabolites. Quantitative trait loci (QTLs) for these traits were identified, with different QTLs affecting the accumulation of different polyphenols. This provides great potential for marker-assisted breeding for improved levels of potentially health beneficial components.