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Quantitative Trait Loci Mapping and Identification of Candidate Genes Linked to Fruit Acidity in Apricot (Prunus armeniaca L.).

Authors :
Dondini, Luca
Domenichini, Cecilia
Dong, Yonghui
Gennari, Fabio
Bassi, Daniele
Foschi, Stefano
Lama, Martina
Adami, Marco
De Franceschi, Paolo
Cervellati, Claudia
Bergonzoni, Lorenzo
Alessandri, Sara
Tartarini, Stefano
Source :
Frontiers in Plant Science; 3/18/2022, Vol. 13, p1-12, 12p
Publication Year :
2022

Abstract

Apricot breeding programs could be strongly improved by the availability of molecular markers linked to the main fruit quality traits. Fruit acidity is one of the key factors in consumer acceptance, but despite its importance, the molecular bases of this trait are still poorly understood. In order to increase the genetic knowledge on the fruit acidity, an F1 apricot population ('Lito' × 'BO81604311') has been phenotyped for titratable acidity and juice pH for the three following years. In addition, the contents of the main organic acids of the juice (malate, citrate, and quinate) were also evaluated. A Gaussian distribution was observed for most of the traits in this progeny, confirming their quantitative inheritance. An available simple sequence repeat (SSR)-based molecular map, implemented with new markers in specific genomic regions, was used to perform a quantitative trait loci (QTL) analysis. The molecular map was also anchored to the recently published apricot genome sequence of 'Stella.' Several major QTLs linked to fruit acidity-related traits have been identified both in the 'Lito' (no. 21) and 'BO81604311' (no. 13), distributed in five linkage groups (LG 4, 5, 6, 7, and 8). Some of these QTLs show good stability between years and their linked markers were used to identify candidate genes in specific QTLs genomic regions. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1664462X
Volume :
13
Database :
Complementary Index
Journal :
Frontiers in Plant Science
Publication Type :
Academic Journal
Accession number :
155888039
Full Text :
https://doi.org/10.3389/fpls.2022.838370