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Quantitative Trait Loci Mapping and Identification of Candidate Genes Linked to Fruit Acidity in Apricot (Prunus armeniaca L.)
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 t...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8972129/ https://www.ncbi.nlm.nih.gov/pubmed/35371156 http://dx.doi.org/10.3389/fpls.2022.838370 |
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author | 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 |
author_facet | 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 |
author_sort | Dondini, Luca |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8972129 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-89721292022-04-02 Quantitative Trait Loci Mapping and Identification of Candidate Genes Linked to Fruit Acidity in Apricot (Prunus armeniaca L.) 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 Front Plant Sci Plant Science 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. Frontiers Media S.A. 2022-03-18 /pmc/articles/PMC8972129/ /pubmed/35371156 http://dx.doi.org/10.3389/fpls.2022.838370 Text en Copyright © 2022 Dondini, Domenichini, Dong, Gennari, Bassi, Foschi, Lama, Adami, De Franceschi, Cervellati, Bergonzoni, Alessandri and Tartarini. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Plant Science 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 Quantitative Trait Loci Mapping and Identification of Candidate Genes Linked to Fruit Acidity in Apricot (Prunus armeniaca L.) |
title | Quantitative Trait Loci Mapping and Identification of Candidate Genes Linked to Fruit Acidity in Apricot (Prunus armeniaca L.) |
title_full | Quantitative Trait Loci Mapping and Identification of Candidate Genes Linked to Fruit Acidity in Apricot (Prunus armeniaca L.) |
title_fullStr | Quantitative Trait Loci Mapping and Identification of Candidate Genes Linked to Fruit Acidity in Apricot (Prunus armeniaca L.) |
title_full_unstemmed | Quantitative Trait Loci Mapping and Identification of Candidate Genes Linked to Fruit Acidity in Apricot (Prunus armeniaca L.) |
title_short | Quantitative Trait Loci Mapping and Identification of Candidate Genes Linked to Fruit Acidity in Apricot (Prunus armeniaca L.) |
title_sort | quantitative trait loci mapping and identification of candidate genes linked to fruit acidity in apricot (prunus armeniaca l.) |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8972129/ https://www.ncbi.nlm.nih.gov/pubmed/35371156 http://dx.doi.org/10.3389/fpls.2022.838370 |
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