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...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-03-01
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| Series: | Frontiers in Plant Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpls.2022.838370/full |
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| author | Luca Dondini Cecilia Domenichini Yonghui Dong Fabio Gennari Daniele Bassi Stefano Foschi Martina Lama Marco Adami Paolo De Franceschi Claudia Cervellati Lorenzo Bergonzoni Sara Alessandri Stefano Tartarini |
| author_facet | Luca Dondini Cecilia Domenichini Yonghui Dong Fabio Gennari Daniele Bassi Stefano Foschi Martina Lama Marco Adami Paolo De Franceschi Claudia Cervellati Lorenzo Bergonzoni Sara Alessandri Stefano Tartarini |
| author_sort | Luca Dondini |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-13T00:57:36Z |
| format | Article |
| id | doaj.art-feb3da00614e48c48fdb40f4a9b2f620 |
| institution | Directory Open Access Journal |
| issn | 1664-462X |
| language | English |
| last_indexed | 2024-12-13T00:57:36Z |
| publishDate | 2022-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Plant Science |
| spelling | doaj.art-feb3da00614e48c48fdb40f4a9b2f6202022-12-22T00:04:46ZengFrontiers Media S.A.Frontiers in Plant Science1664-462X2022-03-011310.3389/fpls.2022.838370838370Quantitative Trait Loci Mapping and Identification of Candidate Genes Linked to Fruit Acidity in Apricot (Prunus armeniaca L.)Luca Dondini0Cecilia Domenichini1Yonghui Dong2Fabio Gennari3Daniele Bassi4Stefano Foschi5Martina Lama6Marco Adami7Paolo De Franceschi8Claudia Cervellati9Lorenzo Bergonzoni10Sara Alessandri11Stefano Tartarini12Department of Agricultural and Food Sciences, Alma Mater Studiorum – University of Bologna, Bologna, ItalyDepartment of Agricultural and Food Sciences, Alma Mater Studiorum – University of Bologna, Bologna, ItalyDepartment of Agricultural and Food Sciences, Alma Mater Studiorum – University of Bologna, Bologna, ItalyDepartment of Agricultural and Food Sciences, Alma Mater Studiorum – University of Bologna, Bologna, ItalyDepartment of Agricultural and Environmental Sciences (DISAA), University of Milan, Milan, ItalyRinova, Cesena, ItalyAstra Innovazione e Sviluppo, Imola, ItalyDepartment of Agricultural and Food Sciences, Alma Mater Studiorum – University of Bologna, Bologna, ItalyDepartment of Agricultural and Food Sciences, Alma Mater Studiorum – University of Bologna, Bologna, ItalyDepartment of Agricultural and Food Sciences, Alma Mater Studiorum – University of Bologna, Bologna, ItalyDepartment of Agricultural and Food Sciences, Alma Mater Studiorum – University of Bologna, Bologna, ItalyDepartment of Agricultural and Food Sciences, Alma Mater Studiorum – University of Bologna, Bologna, ItalyDepartment of Agricultural and Food Sciences, Alma Mater Studiorum – University of Bologna, Bologna, ItalyApricot 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.https://www.frontiersin.org/articles/10.3389/fpls.2022.838370/fullfruit pHmalatecitratequinatefruit quality |
| spellingShingle | Luca Dondini Cecilia Domenichini Yonghui Dong Fabio Gennari Daniele Bassi Stefano Foschi Martina Lama Marco Adami Paolo De Franceschi Claudia Cervellati Lorenzo Bergonzoni Sara Alessandri Stefano Tartarini Quantitative Trait Loci Mapping and Identification of Candidate Genes Linked to Fruit Acidity in Apricot (Prunus armeniaca L.) Frontiers in Plant Science fruit pH malate citrate quinate fruit quality |
| 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 | fruit pH malate citrate quinate fruit quality |
| url | https://www.frontiersin.org/articles/10.3389/fpls.2022.838370/full |
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