Quantitative genetic analysis of berry firmness in table grape (Vitis vinifera L.)

© 2014, Springer-Verlag Berlin Heidelberg. Berry texture is a determinant quality trait in the breeding of new table grape varieties. We present the first mapping quantitative trait loci (QTL) results for berry firmness in table grape. Two segregating progenies, Muscat Hamburg × Sugraone (153 offspring) and Ruby Seedless × Moscatuel (78 offspring), were evaluated for this trait during two and four productive seasons, respectively. Firmness was scored at harvest as the force (newtons) required for a 20 % deformation of the berries. Parental and consensus genetic maps were built for each population. QTL analyses revealed a complex genetic control of firmness. Significant QTLs at genome-wide level were detected in seven genomic regions on linkage groups (LGs) 1, 4, 5, 9, 10, 13, and 18, individually explaining up to 19.8 % of the total phenotypic variance. The combined effect of all the QTLs detected in one season explained up to 44.5 % of the total phenotypic variance. Some annotated genes colocating with the LOD-1 support intervals of those QTLs are proposed as putative candidate genes that might be responsible for the QTLs that affect berry firmness.

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Bibliographic Details
Main Authors: Carreño, Iván, Cabezas Martínez, José Antonio, Martínez-Mora, Celia, Arroyo García, Rosa Adela, Cenis, José Luis, Martínez-Zapater, José M., Ruiz-García, Leonor
Other Authors: Fundación Genoma España
Format: artículo biblioteca
Published: Springer Nature 2014-02
Subjects:Breeding, Candidate genes, QTL mapping, Genetic map, Phenotypic segregation,
Online Access:http://hdl.handle.net/10261/144316
http://dx.doi.org/10.13039/501100000780
http://dx.doi.org/10.13039/100007652
http://dx.doi.org/10.13039/501100009569
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spelling dig-inia-es-10261-1443162024-10-24T09:42:18Z Quantitative genetic analysis of berry firmness in table grape (Vitis vinifera L.) Carreño, Iván Cabezas Martínez, José Antonio Martínez-Mora, Celia Arroyo García, Rosa Adela Cenis, José Luis Martínez-Zapater, José M. Ruiz-García, Leonor Fundación Genoma España Gobierno de la Región de Murcia European Commission CSIC - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA) Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72] Breeding Candidate genes QTL mapping Genetic map Phenotypic segregation © 2014, Springer-Verlag Berlin Heidelberg. Berry texture is a determinant quality trait in the breeding of new table grape varieties. We present the first mapping quantitative trait loci (QTL) results for berry firmness in table grape. Two segregating progenies, Muscat Hamburg × Sugraone (153 offspring) and Ruby Seedless × Moscatuel (78 offspring), were evaluated for this trait during two and four productive seasons, respectively. Firmness was scored at harvest as the force (newtons) required for a 20 % deformation of the berries. Parental and consensus genetic maps were built for each population. QTL analyses revealed a complex genetic control of firmness. Significant QTLs at genome-wide level were detected in seven genomic regions on linkage groups (LGs) 1, 4, 5, 9, 10, 13, and 18, individually explaining up to 19.8 % of the total phenotypic variance. The combined effect of all the QTLs detected in one season explained up to 44.5 % of the total phenotypic variance. Some annotated genes colocating with the LOD-1 support intervals of those QTLs are proposed as putative candidate genes that might be responsible for the QTLs that affect berry firmness. This study was financially supported by the GRAPEGEN project from Genoma España as well as the BIO-AGR06/03-0007-Biocarm project from the Consejería de Educación y Cultura de la Región de Murcia. The authors wish to thank to Dr. P. Hellín for her help with Texture Analyzer TA.XT2, and M. Alcaraz, J.P. Rosa-Fernández, D. Vicente Cervantes, and A. Fuentes for their technical assistance. We are also grateful to the Genómica-Campus Moncloa del Parque Científico de Madrid http://www.fpcm.es for SSRs genotyping and the Centro Nacional de Genotipado http://www.cegen.org for SNPlex genotyping. L. Ruiz-García worked previously with an Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria contract cofunded by the European Social Fund, and currently works with a contract 80 % cofunded by the European Regional Development Fund. I. Carreño was a pre-doctoral fellow of the Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria. J.A. Cabezas was partially funded by a research contract from Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria–Autonomous Communities, Spanish Government. Peer Reviewed 2017-02-20T11:59:38Z 2017-02-20T11:59:38Z 2014-02 2017-02-20T11:59:39Z artículo http://purl.org/coar/resource_type/c_6501 e-issn: 1614-2950 issn: 1614-2942 Tree Genetics and Genomes 11: 818 (2014) http://hdl.handle.net/10261/144316 10.1007/s11295-014-0818-x http://dx.doi.org/10.13039/501100000780 http://dx.doi.org/10.13039/100007652 http://dx.doi.org/10.13039/501100009569 http://doi.org/10.1007/s11295-014-0818-x Sí none Springer Nature
institution INIA ES
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country España
countrycode ES
component Bibliográfico
access En linea
databasecode dig-inia-es
tag biblioteca
region Europa del Sur
libraryname Biblioteca del INIA España
topic Breeding
Candidate genes
QTL mapping
Genetic map
Phenotypic segregation
Breeding
Candidate genes
QTL mapping
Genetic map
Phenotypic segregation
spellingShingle Breeding
Candidate genes
QTL mapping
Genetic map
Phenotypic segregation
Breeding
Candidate genes
QTL mapping
Genetic map
Phenotypic segregation
Carreño, Iván
Cabezas Martínez, José Antonio
Martínez-Mora, Celia
Arroyo García, Rosa Adela
Cenis, José Luis
Martínez-Zapater, José M.
Ruiz-García, Leonor
Quantitative genetic analysis of berry firmness in table grape (Vitis vinifera L.)
description © 2014, Springer-Verlag Berlin Heidelberg. Berry texture is a determinant quality trait in the breeding of new table grape varieties. We present the first mapping quantitative trait loci (QTL) results for berry firmness in table grape. Two segregating progenies, Muscat Hamburg × Sugraone (153 offspring) and Ruby Seedless × Moscatuel (78 offspring), were evaluated for this trait during two and four productive seasons, respectively. Firmness was scored at harvest as the force (newtons) required for a 20 % deformation of the berries. Parental and consensus genetic maps were built for each population. QTL analyses revealed a complex genetic control of firmness. Significant QTLs at genome-wide level were detected in seven genomic regions on linkage groups (LGs) 1, 4, 5, 9, 10, 13, and 18, individually explaining up to 19.8 % of the total phenotypic variance. The combined effect of all the QTLs detected in one season explained up to 44.5 % of the total phenotypic variance. Some annotated genes colocating with the LOD-1 support intervals of those QTLs are proposed as putative candidate genes that might be responsible for the QTLs that affect berry firmness.
author2 Fundación Genoma España
author_facet Fundación Genoma España
Carreño, Iván
Cabezas Martínez, José Antonio
Martínez-Mora, Celia
Arroyo García, Rosa Adela
Cenis, José Luis
Martínez-Zapater, José M.
Ruiz-García, Leonor
format artículo
topic_facet Breeding
Candidate genes
QTL mapping
Genetic map
Phenotypic segregation
author Carreño, Iván
Cabezas Martínez, José Antonio
Martínez-Mora, Celia
Arroyo García, Rosa Adela
Cenis, José Luis
Martínez-Zapater, José M.
Ruiz-García, Leonor
author_sort Carreño, Iván
title Quantitative genetic analysis of berry firmness in table grape (Vitis vinifera L.)
title_short Quantitative genetic analysis of berry firmness in table grape (Vitis vinifera L.)
title_full Quantitative genetic analysis of berry firmness in table grape (Vitis vinifera L.)
title_fullStr Quantitative genetic analysis of berry firmness in table grape (Vitis vinifera L.)
title_full_unstemmed Quantitative genetic analysis of berry firmness in table grape (Vitis vinifera L.)
title_sort quantitative genetic analysis of berry firmness in table grape (vitis vinifera l.)
publisher Springer Nature
publishDate 2014-02
url http://hdl.handle.net/10261/144316
http://dx.doi.org/10.13039/501100000780
http://dx.doi.org/10.13039/100007652
http://dx.doi.org/10.13039/501100009569
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