Massive phenotyping of multiple cranberry populations reveals novel QTLs for fruit anthocyanin content and other important chemical traits

Publication Overview
TitleMassive phenotyping of multiple cranberry populations reveals novel QTLs for fruit anthocyanin content and other important chemical traits
AuthorsDiaz-Garcia L, Schlautman B, Covarrubias-Pazaran G, Maule A, Johnson-Cicalese J, Grygleski E, Vorsa N, Zalapa J
TypeJournal Article
Journal NameMolecular genetics and genomics : MGG
Volume293
Issue6
Year2018
Page(s)1379-1392
CitationDiaz-Garcia L, Schlautman B, Covarrubias-Pazaran G, Maule A, Johnson-Cicalese J, Grygleski E, Vorsa N, Zalapa J. Massive phenotyping of multiple cranberry populations reveals novel QTLs for fruit anthocyanin content and other important chemical traits. Molecular genetics and genomics : MGG. 2018 Jul 02.

Abstract

Because of its known phytochemical activity and benefits for human health, American cranberry (Vaccinium macrocarpon L.) production and commercialization around the world has gained importance in recent years. Flavonoid compounds as well as the balance of sugars and acids are key quality characteristics of fresh and processed cranberry products. In this study, we identified novel QTL that influence total anthocyanin content (TAcy), titratable acidity (TA), proanthocyanidin content (PAC), Brix, and mean fruit weight (MFW) in cranberry fruits. Using repeated measurements over the fruit ripening period, different QTLs were identified at specific time points that coincide with known chemical changes during fruit development and maturation. Some genetic regions appear to be regulating more than one trait. In addition, we demonstrate the utility of digital imaging as a reliable, inexpensive and high-throughput strategy for the quantification of anthocyanin content in cranberry fruits. Using this imaging approach, we identified a set of QTLs across three different breeding populations which collocated with anthocyanin QTL identified using wet-lab approaches. We demonstrate the use of a high-throughput, reliable and highly accessible imaging strategy for predicting anthocyanin content based on cranberry fruit color, which could have a large impact for both industry and cranberry research.

Stocks
This publication contains information about 1 stocks:
Stock NameUniquenameType
CNJ04-02CNJ04-02population
Features
This publication contains information about 113 features:
Feature NameUniquenameType
Total anthocyanin contentqTAC.CNJ02-1.LG03.2QTL
Total anthocyanin contentqTAC.CNJ02-1.LG04QTL
Total anthocyanin contentqTAC.CNJ02-1.LG06QTL
Total anthocyanin contentqTAC.CNJ02-1.LG06.2QTL
Total anthocyanin contentqTAC.CNJ02-1.LG07QTL
Total anthocyanin contentqTAC.CNJ02-1.LG07.2QTL
Total anthocyanin contentqTAC.CNJ02-1.LG07.3QTL
Total anthocyanin contentqTAC.CNJ02-1.LG07.4QTL
Total anthocyanin contentqTAC.CNJ02-1.LG11QTL
Total anthocyanin contentqTAC.CNJ02-1.LG11.2QTL
Total anthocyanin contentqTAC.CNJ02-1.LG12QTL
fruit weightqFWT.CNJ02-1.LG10.aQTL
fruit weightqFWT.CNJ02-1.LG11.2.aQTL

Pages

Projects
This publication contains information about 1 projects:
Project NameDescription
Cranberry-Fruit_anthocyanin-2018
Properties
Additional details for this publication include:
Property NameValue
Elocation10.1007/s00438-018-1464-z
eISSN1617-4623
ISSN1617-4623
Journal AbbreviationMol. Genet. Genomics
Publication ModelPrint-Electronic
Journal CountryGermany
Publication TypeJournal Article
LanguageEnglish
Publication Date2018 Jul 02
DOI10.1007/s00438-018-1464-z
Language Abbreng
Cross References
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DatabaseAccession
PMID: PubMedPMID:29967963