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

G. J. McDougall; J. W. Allwood; G. Dobson; C. Austin; S. Verrall; C. J. Alexander; R. D. Hancock; J. Graham; C. A. Hackett

doi:10.1007/s11306-023-02033-7

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

G. J. McDougall (Lead / Corresponding author), J. W. Allwood, G. Dobson, C. Austin, S. Verrall, C. J. Alexander, R. D. Hancock, J. Graham, C. A. Hackett

DArcy Thompson Unit

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Abstract

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.

Original language	English
Article number	71
Number of pages	26
Journal	Metabolomics : Official journal of the Metabolomic Society
Volume	19
Issue number	8
DOIs	https://doi.org/10.1007/s11306-023-02033-7
Publication status	Published - 8 Aug 2023

Keywords

Anthocyanins
Ellagitannins
Genetic control
Heritability
Polyphenols
QTLs
Raspberry

ASJC Scopus subject areas

Endocrinology, Diabetes and Metabolism
Biochemistry
Clinical Biochemistry

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/s11306-023-02033-7Licence: CC BY

Final Published VersionFinal published version, 4.1 MBLicence: CC BY

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McDougall, G. J., Allwood, J. W., Dobson, G., Austin, C., Verrall, S., Alexander, C. J., Hancock, R. D., Graham, J., & Hackett, C. A. (2023). Quantitative trait loci mapping of polyphenol metabolites from a 'Latham' x 'Glen Moy' red raspberry (Rubus idaeus L) cross. Metabolomics : Official journal of the Metabolomic Society, 19(8), Article 71. https://doi.org/10.1007/s11306-023-02033-7

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abstract = "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.",

keywords = "Anthocyanins, Ellagitannins, Genetic control, Heritability, Polyphenols, QTLs, Raspberry",

author = "McDougall, {G. J.} and Allwood, {J. W.} and G. Dobson and C. Austin and S. Verrall and Alexander, {C. J.} and Hancock, {R. D.} and J. Graham and Hackett, {C. A.}",

note = "Funding Information: This research was partly funded by Scottish Government{\textquoteright}s Rural and Environmental Science and Analytical Services Division (RESAS) under Theme 3 Improving Food and Drink (2016–2021) and continues in current RESAS funding (2022–27). Copyright: {\textcopyright} 2023. The Author(s).",

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Quantitative trait loci mapping of polyphenol metabolites from a 'Latham' x 'Glen Moy' red raspberry (Rubus idaeus L) cross. / McDougall, G. J. (Lead / Corresponding author); Allwood, J. W.; Dobson, G. et al.
In: Metabolomics : Official journal of the Metabolomic Society, Vol. 19, No. 8, 71, 08.08.2023.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - Quantitative trait loci mapping of polyphenol metabolites from a 'Latham' x 'Glen Moy' red raspberry (Rubus idaeus L) cross

AU - McDougall, G. J.

AU - Allwood, J. W.

AU - Dobson, G.

AU - Austin, C.

AU - Verrall, S.

AU - Alexander, C. J.

AU - Hancock, R. D.

AU - Graham, J.

AU - Hackett, C. A.

N1 - Funding Information: This research was partly funded by Scottish Government’s Rural and Environmental Science and Analytical Services Division (RESAS) under Theme 3 Improving Food and Drink (2016–2021) and continues in current RESAS funding (2022–27). Copyright: © 2023. The Author(s).

PY - 2023/8/8

Y1 - 2023/8/8

N2 - 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.

AB - 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.

KW - Anthocyanins

KW - Ellagitannins

KW - Genetic control

KW - Heritability

KW - Polyphenols

KW - QTLs

KW - Raspberry

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SN - 1573-3882

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JO - Metabolomics : Official journal of the Metabolomic Society

JF - Metabolomics : Official journal of the Metabolomic Society

IS - 8

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ER -

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

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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