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Quantitative trait loci mapping of polyphenol metabolites from a ‘Latham’ x ‘Glen Moy’ red raspberry (Rubus idaeus L) cross
OBJECTIVE: The objective of this study was to investigate the genetic control of polyphenol accumulation in red raspberry (Rubus idaeus L). METHODS: The levels of total anthocyanins and 37 individual polyphenol metabolites were measured over three years in a raspberry biparental mapping population....
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10409862/ https://www.ncbi.nlm.nih.gov/pubmed/37552331 http://dx.doi.org/10.1007/s11306-023-02033-7 |
Sumario: | OBJECTIVE: The objective of this study was to investigate the genetic control of polyphenol accumulation in red raspberry (Rubus idaeus L). METHODS: The 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. RESULTS: At 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. CONCLUSION: The identification of robust QTLs for key polyphenols in raspberry provides great potential for marker-assisted breeding for improved levels of potentially health beneficial components. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11306-023-02033-7. |
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