High-density linkage map construction and identification of loci regulating fruit quality traits in blueberry.

Publication Overview
TitleHigh-density linkage map construction and identification of loci regulating fruit quality traits in blueberry.
AuthorsMengist MF, Bostan H, Young E, Kay KL, Gillitt N, Ballington J, Kay CD, Ferruzzi MG, Ashrafi H, Lila MA, Iorizzo M
TypeJournal Article
Journal NameHorticulture research
Volume8
Issue1
Year2021
Page(s)169
CitationMengist MF, Bostan H, Young E, Kay KL, Gillitt N, Ballington J, Kay CD, Ferruzzi MG, Ashrafi H, Lila MA, Iorizzo M. High-density linkage map construction and identification of loci regulating fruit quality traits in blueberry.. Horticulture research. 2021 Aug 01; 8(1):169.

Abstract

Fruit quality traits play a significant role in consumer preferences and consumption in blueberry (Vaccinium corymbosum L). The objectives of this study were to construct a high-density linkage map and to identify the underlying genetic basis of fruit quality traits in blueberry. A total of 287 F1 individuals derived from a cross between two southern highbush blueberry cultivars, 'Reveille' and 'Arlen', were phenotyped over three years (2016-2018) for fruit quality-related traits, including titratable acidity, pH, total soluble solids, and fruit weight. A high-density linkage map was constructed using 17k single nucleotide polymorphisms markers. The linkage map spanned a total of 1397 cM with an average inter-loci distance of 0.08 cM. The quantitative trait loci interval mapping based on the hidden Markov model identified 18 loci for fruit quality traits, including seven loci for fruit weight, three loci for titratable acidity, five loci for pH, and three loci for total soluble solids. Ten of these loci were detected in more than one year. These loci explained phenotypic variance ranging from 7 to 28% for titratable acidity and total soluble solid, and 8-13% for pH. However, the loci identified for fruit weight did not explain more than 10% of the phenotypic variance. We also reported the association between fruit quality traits and metabolites detected by Proton nuclear magnetic resonance analysis directly responsible for these fruit quality traits. Organic acids, citric acid, and quinic acid were significantly (P < 0.05) and positively correlated with titratable acidity. Sugar molecules showed a strong and positive correlation with total soluble solids. Overall, the study dissected the genetic basis of fruit quality traits and established an association between these fruit quality traits and metabolites.

Stocks
This publication contains information about 2 stocks:
Stock NameUniquenameType
NC 2054Reveillecultivar
Reveille/Arlen-F1Reveille/Arlen-F1population
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This publication contains information about 17,473 features:
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Pages

Projects
This publication contains information about 1 projects:
Project NameDescription
Blueberry-Fruit_quality-Mengist-2021
Featuremaps
This publication contains information about 1 maps:
Map Name
Blueberry-Reveille/Arlen-F1
Properties
Additional details for this publication include:
Property NameValue
Publication ModelElectronic
ISSN2662-6810
pISSN2662-6810
Publication Date2021 Aug 01
Journal AbbreviationHortic Res
DOI10.1038/s41438-021-00605-z
Elocation10.1038/s41438-021-00605-z
Copyright© 2021. The Author(s).
LanguageEnglish
Language Abbreng
Publication TypeJournal Article
Journal CountryEngland
Cross References
This publication is also available in the following databases:
DatabaseAccession
PMID: PubMedPMID:34333532