Quantitative Trait Loci Mapping and Identification of Candidate Genes Linked to Fruit Acidity in Apricot (

citrate fruit pH fruit quality malate quinate

Journal

Frontiers in plant science
ISSN: 1664-462X
Titre abrégé: Front Plant Sci
Pays: Switzerland
ID NLM: 101568200

Informations de publication

Date de publication:
2022
Historique:
received: 17 12 2021
accepted: 14 02 2022
entrez: 4 4 2022
pubmed: 5 4 2022
medline: 5 4 2022
Statut: epublish

Résumé

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.

Identifiants

pubmed: 35371156
doi: 10.3389/fpls.2022.838370
pmc: PMC8972129
doi:

Types de publication

Journal Article

Langues

eng

Pagination

838370

Informations de copyright

Copyright © 2022 Dondini, Domenichini, Dong, Gennari, Bassi, Foschi, Lama, Adami, De Franceschi, Cervellati, Bergonzoni, Alessandri and Tartarini.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Luca Dondini (L)

Department of Agricultural and Food Sciences, Alma Mater Studiorum - University of Bologna, Bologna, Italy.

Cecilia Domenichini (C)

Department of Agricultural and Food Sciences, Alma Mater Studiorum - University of Bologna, Bologna, Italy.

Yonghui Dong (Y)

Department of Agricultural and Food Sciences, Alma Mater Studiorum - University of Bologna, Bologna, Italy.

Fabio Gennari (F)

Department of Agricultural and Food Sciences, Alma Mater Studiorum - University of Bologna, Bologna, Italy.

Daniele Bassi (D)

Department of Agricultural and Environmental Sciences (DISAA), University of Milan, Milan, Italy.

Stefano Foschi (S)

Rinova, Cesena, Italy.

Martina Lama (M)

Astra Innovazione e Sviluppo, Imola, Italy.

Marco Adami (M)

Department of Agricultural and Food Sciences, Alma Mater Studiorum - University of Bologna, Bologna, Italy.

Paolo De Franceschi (P)

Department of Agricultural and Food Sciences, Alma Mater Studiorum - University of Bologna, Bologna, Italy.

Claudia Cervellati (C)

Department of Agricultural and Food Sciences, Alma Mater Studiorum - University of Bologna, Bologna, Italy.

Lorenzo Bergonzoni (L)

Department of Agricultural and Food Sciences, Alma Mater Studiorum - University of Bologna, Bologna, Italy.

Sara Alessandri (S)

Department of Agricultural and Food Sciences, Alma Mater Studiorum - University of Bologna, Bologna, Italy.

Stefano Tartarini (S)

Department of Agricultural and Food Sciences, Alma Mater Studiorum - University of Bologna, Bologna, Italy.

Classifications MeSH