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Fruit shape morphometric analysis and QTL detection in a set of eggplant introgression lines

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Fruit shape morphometric analysis and QTL detection in a set of eggplant introgression lines

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dc.contributor.author Mangino, Giulio es_ES
dc.contributor.author Vilanova Navarro, Santiago es_ES
dc.contributor.author Plazas Ávila, María de la O es_ES
dc.contributor.author Prohens Tomás, Jaime es_ES
dc.contributor.author Gramazio, Pietro es_ES
dc.date.accessioned 2022-04-28T18:04:56Z
dc.date.available 2022-04-28T18:04:56Z
dc.date.issued 2021-05-10 es_ES
dc.identifier.issn 0304-4238 es_ES
dc.identifier.uri http://hdl.handle.net/10251/182272
dc.description.abstract [EN] Eggplant fruit shape is an important quantitative agronomic trait. The use of introgression lines (ILs) for QTLs identification is a powerful tool for the elucidation of the genetic control of eggplant fruit shape. In the present study, a set of 16 eggplant ILs, each harboring a single marker-defined chromosomal segment from the wild eggplant relative S. incanum in the genetic background of S. melongena, was evaluated for fruit shape in two environments (open field and screenhouse). A detailed phenotyping of the fruits of the two parents, hybrid and ILs was performed using 32 morphological descriptors of the phenomics tool Tomato Analyzer. Several morphological differences were found between parents, and the hybrid displayed negative heterosis for many fruit shape traits, being more similar to the S. incanum parent. Significant differences for most fruit shape descriptors were found between ILs and the recipient parent. For many descriptors, the genotype factor had the highest contribution to the percentage of the sum of squares. Although the contributions of the environment and the G x E interaction were significant for almost all descriptors, their effects on fruit shape were relatively low. Hierarchical clustering revealed nine clusters of highly correlated traits and six ILs groups. A total of 41 stable QTLs spread over ten chromosomes were detected. Of these, twenty QTLs associated to Basic Measurement and Fruit Shape Index descriptors were syntenic to other previously reported in several intraspecific and interspecific eggplant populations, while twenty-one QTLs, including Blockiness, Homogeneity, Asymmetry and Internal Eccentricity, were new. In addition, mutations associated to genes belonging to SUN, OVATE and YABBY families described in tomato were reported in the QTLs genomic regions identified in eggplant. Eleven SUN and YABBY genes were proposed as potential candidate controlling fruit shape variations in eggplant. Our results provide novel and highly relevant insights on the genetics of fruit shape in eggplant and have important implications for eggplant breeding. es_ES
dc.description.sponsorship This work was undertaken as part of the initiative "Adapting Agriculture to Climate Change: Collecting, Protecting and Preparing Crop Wild Relatives", which is supported by the Government of Norway. The project is managed by the Global Crop Diversity Trust with the Millennium Seed Bank of the Royal Botanic Gardens, Kew and implemented in partnership with national and international gene banks and plant breeding institutes around the world. For further information see the project website: http://www.cwrdiversity.org/.Funding was also received from Spanish Ministerio de Economia, Industria y Competitividadand Fondo Europeo de Desarrollo Regional (grant AGL201564755-R from MINECO/FEDER),Ministerio de Ciencia, Innovacion y Universidades, Agencia Estatal de Investigaci ' onand Fondo Europeo de Desarrollo Regional (grant RTI-2018-094592-B-100from MCIU/AEI/FEDER, UE), and European Union's Horizon 2020 Research and Innovation Programmeunder grant agreement No. 677379 (G2P-SOL project: Linking genetic resources, genomes and phenotypes of Solanaceous crops). Pietro Gramazio is grateful to Japan Society for the Promotion of Science for a post-doctoral grant (P19105,FY2019JSPS Postdoctoral Fellowship for Research in Japan [Standard]). es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Scientia Horticulturae es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Solanum melongena es_ES
dc.subject S. incanum es_ES
dc.subject Introgression lines es_ES
dc.subject Fruit shape es_ES
dc.subject Morphometric analysis es_ES
dc.subject Tomato analyzer es_ES
dc.subject QTLs es_ES
dc.subject.classification GENETICA es_ES
dc.title Fruit shape morphometric analysis and QTL detection in a set of eggplant introgression lines es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.scienta.2021.110006 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/JSPS//FY2019/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-094592-B-I00/ES/INTROGRESION DE TOLERANCIA A LA SEQUIA PROCEDENTE DE ESPECIES SILVESTRES PARA LA MEJORA GENETICA DE LA BERENJENA/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/677379/EU es_ES
dc.relation.projectID info:eu-repo/grantAgreement/JSPS//P19105/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//AGL2015-64755-R/ES/MEJORA GENETICA DE LA CALIDAD FUNCIONAL Y APARENTE DE LA BERENJENA/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario Mixto de Biología Molecular y Celular de Plantas - Institut Universitari Mixt de Biologia Molecular i Cel·lular de Plantes es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario de Conservación y Mejora de la Agrodiversidad Valenciana - Institut Universitari de Conservació i Millora de l'Agrodiversitat Valenciana es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Biotecnología - Departament de Biotecnologia es_ES
dc.description.bibliographicCitation Mangino, G.; Vilanova Navarro, S.; Plazas Ávila, MDLO.; Prohens Tomás, J.; Gramazio, P. (2021). Fruit shape morphometric analysis and QTL detection in a set of eggplant introgression lines. Scientia Horticulturae. 282:1-14. https://doi.org/10.1016/j.scienta.2021.110006 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.scienta.2021.110006 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 14 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 282 es_ES
dc.relation.pasarela S\436908 es_ES
dc.contributor.funder Government of Norway es_ES
dc.contributor.funder THE GLOBAL CROP DIVERSITY TRUST es_ES
dc.contributor.funder AGENCIA ESTATAL DE INVESTIGACION es_ES
dc.contributor.funder MINISTERIO DE ECONOMIA Y EMPRESA es_ES
dc.contributor.funder European Regional Development Fund es_ES
dc.contributor.funder COMISION DE LAS COMUNIDADES EUROPEA es_ES
dc.contributor.funder Japan Society for the Promotion of Science es_ES
dc.subject.ods 02.- Poner fin al hambre, conseguir la seguridad alimentaria y una mejor nutrición, y promover la agricultura sostenible es_ES


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