Mapping QTLs associated with fruit quality traits in peach [Prunus persica (L.) Batsch] using SNP maps

Publication Overview
TitleMapping QTLs associated with fruit quality traits in peach [Prunus persica (L.) Batsch] using SNP maps
AuthorsJosé Luis Zeballos, Walid Abidi , Rosa Giménez, Antonio J. Monforte, María Ángeles Moreno, Yolanda Gogorcena.
TypeJournal Article
Journal NameTree Genetics & Genomes
Volume12
Year2016
Page(s)37
CitationJosé Luis Zeballos, Walid Abidi , Rosa Giménez, Antonio J. Monforte, María Ángeles Moreno, Yolanda Gogorcena. Mapping QTLs associated with fruit quality traits in peach [Prunus persica (L.) Batsch] using SNP maps. Tree Genetics & Genomes June 2016, 12:37

Abstract

Fruit quality is an essential criterion used to select new cultivars in peach breeding programs and is determined based on a combination of organoleptic and nutritional traits. The aim of this study was to identify quantitative trait loci (QTLs) for fruit quality traits in an F1 nectarine population derived from ‘Venus’ and ‘Big Top’ cultivars. The progeny were evaluated over 4 years for agronomical and biochemical characteristics and genotyped using simple sequence repeat (SSR) markers and ‘IPSC 9K peach SNP array v1’. Two genetic maps were constructed using 411 markers. The ‘Venus’ map spanned 259 cM on nine linkage groups (LGs) with 104 markers. The ‘Big Top’ map spanned 464 cM on 10 LGs with 122 markers. Single or Multiple QTL models mapping was applied separately for each year and all years combined. A total of 54 QTLs mapped over 12 LGs belonged to seven peach chromosomes. Most of the QTLs were consistent over the 4 years of study and were validated with the multi-year analysis. QTLs for total phenolic, flavonoid, and anthocyanin contents were reported for the first time in peach. LG 4 in ‘Venus’ and LG 5 in ‘Big Top’ showed the highest numbers of QTLs. This work represents the first study in an F1 nectarine family to identify peach genomic regions that control fruit quality traits using ‘IPSC 9K SNP array v1’ and provides useful information for marker-assisted breeding to produce peaches with better antioxidant content and healthy attributes.
Projects
This publication contains information about 1 projects:
Project NameDescription
Peach-Fruit quality-Gogorcena-2016
Features
This publication contains information about 73 features:
Feature NameUniquenameType
sorbitol contentqSOR.V-Ch4-2009QTL
sorbitol contentqSOR.V-Ch4-2010QTL
sorbitol contentqSOR.V-Ch4- MeanQTL
sorbitol contentqSOR.BT-Ch5-2010QTL
fructose contentqFRU.V-Ch2_1-2008QTL
fructose contentqFRU.V-Ch4-2007QTL
fructose contentqFRU.BT-Ch1_2-2008QTL
fructose contentqFRU.BT-Ch1_2-MeanQTL
fructose contentqFRU.BT-Ch5-2007QTL
phenolic compound contentqPHE.V-Ch2_2-2009QTL
phenolic compound contentqPHE.V-Ch4-MeanQTL
phenolic compound contentqPHE.BT-Ch2-2009QTL
flavonoid contentqFV.V-Ch2_2-2010QTL
flavonoid contentqFV.V-Ch3-2008QTL
flavonoid contentqFV.V-Ch4-2008QTL
flavonoid contentqFV.V-Ch7-2008QTL
flavonoid contentqFV.BT-Ch2-2010QTL
anthocyanin contentqATCYN.BT-Ch5-2009QTL
anthocyanin contentqATCYN.BT-Ch5-2010QTL
anthocyanin contentqATCYN.BT-Ch5-MeanQTL
relative antioxidant capacityqRAC.V-Ch4-2009QTL
relative antioxidant capacityqRAC.V-Ch4-MeanQTL
relative antioxidant capacityqRAC.BT-Ch8-2009QTL

Pages

Featuremaps
This publication contains information about 2 maps:
Map Name
peach-VxBT-F1-Venus
peach-VxBT-F1-Big_Top