High-density linkage map construction in an autotetraploid blueberry population and detection of quantitative trait loci for anthocyanin content

Publication Overview
TitleHigh-density linkage map construction in an autotetraploid blueberry population and detection of quantitative trait loci for anthocyanin content
AuthorsMontanari S, Thomson S, Cordiner S, Gunther CS, Miller P, Deng CH, McGhie T, Knabel M, Foster T, Turner J, Chagne D, Espley R.
TypeJournal Article
Journal NameFrontiers in Plant Science
Volume13
Year2022
Page(s)965397
CitationMontanari S, Thomson S, Cordiner S, Günther CS, Miller P, Deng CH, McGhie T, Knäbel M, Foster T, Turner J, Chagné D, Espley R. High-density linkage map construction in an autotetraploid blueberry population and detection of quantitative trait loci for anthocyanin content.. Frontiers in plant science. 2022; 13:965397.

Abstract

Highbush blueberry (Vaccinium corymbosum, 2n = 4x = 48) is the most cultivated type of blueberry, both in New Zealand and overseas. Its perceived nutritional value is conferred by phytonutrients, particularly anthocyanins. Identifying the genetic mechanisms that control the biosynthesis of these metabolites would enable faster development of cultivars with improved fruit qualities. Here, we used recently released tools for genetic mapping in autotetraploids to build a high-density linkage map in highbush blueberry and to detect quantitative trait loci (QTLs) for fruit anthocyanin content. Genotyping was performed by target sequencing, with ∼18,000 single nucleotide polymorphism (SNP) markers being mapped into 12 phased linkage groups (LGs). Fruits were harvested when ripe for two seasons and analyzed with high-performance liquid chromatography-mass spectrometry (HPLC-MS): 25 different anthocyanin compounds were identified and quantified. Two major QTLs that were stable across years were discovered, one on LG2 and one on LG4, and the underlying candidate genes were identified. Interestingly, the presence of anthocyanins containing acylated sugars appeared to be under strong genetic control. Information gained in this study will enable the design of molecular markers for marker-assisted selection and will help build a better understanding of the genetic control of anthocyanin biosynthesis in this crop.

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Pages

Projects
This publication contains information about 1 projects:
Project NameDescription
Blueberry-Anthocyanin_content-Montanari-2022
Featuremaps
This publication contains information about 1 maps:
Map Name
Blueberry-HortbluePetite/Nui-F1
Stocks
This publication contains information about 2 stocks:
Stock NameUniquenameType
Hortblue PetiteHortblue Petiteaccession
Hortblue Petite/Nui-F1Hortblue Petite/Nui-F1population
Properties
Additional details for this publication include:
Property NameValue
Journal AbbreviationFront Plant Sci
CopyrightCopyright © 2022 Montanari, Thomson, Cordiner, Günther, Miller, Deng, McGhie, Knäbel, Foster, Turner, Chagné and Espley.
Publication ModelElectronic-eCollection
Elocation10.3389/fpls.2022.965397
pISSN1664-462X
ISSN1664-462X
Journal CountrySwitzerland
Publication TypeJournal Article
LanguageEnglish
Publication Date2022
URLhttps://www.frontiersin.org/articles/10.3389/fpls.2022.965397/full
DOI10.3389/fpls.2022.965397
Language Abbreng