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Genomic tools for the enhancement of vegetable crops: a case in eggplant

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Genomic tools for the enhancement of vegetable crops: a case in eggplant

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dc.contributor.author Gramazio, Pietro es_ES
dc.contributor.author Prohens Tomás, Jaime es_ES
dc.contributor.author Plazas Ávila, María de la O es_ES
dc.contributor.author Mangino, Giulio es_ES
dc.contributor.author Herraiz García, Francisco Javier es_ES
dc.contributor.author García-Fortea, Edgar es_ES
dc.contributor.author Vilanova Navarro, Santiago es_ES
dc.date.accessioned 2018-11-13T12:02:01Z
dc.date.available 2018-11-13T12:02:01Z
dc.date.issued 2018 es_ES
dc.identifier.issn 0255-965X es_ES
dc.identifier.uri http://hdl.handle.net/10251/112401
dc.description.abstract [EN] Dramatic advances in genomics during the last decades have led to a revolution in the field of vegetable crops breeding. Some vegetables, like tomato, have served as model crops in the application of genomic tools to plant breeding but other important crops, like eggplant (Solanum melongena), lagged behind. The advent of next generation sequencing (NGS) technologies and the continuous decrease of the sequencing costs have allowed to develop genomic tools with a greatly benefit for no-model plants such as eggplant. In this review we present the currently available genomic resources in eggplant and discuss their interest for breeding. The first draft of eggplant genome sequence and the new upcoming improved assembly, as well as the transcriptomes and RNA-based studies represent important genomic tools. The transcriptomes of cultivated eggplant and several wild relatives of eggplant are also available and have provided relevant information for the development of markers and understanding biological processes in eggplant. In addition, a historical overview of the eggplant genetic mapping studies, performed with different types of markers and experimental populations, provides a picture of the increase over time of the precision and resolution in the identification of candidate genes and QTLs for a wide range of stresses, and morphoagronomic and domestication traits. Finally, we discuss how the development of new genetic and genomic tools in eggplant can pave the way for increasing the efficiency of eggplant breeding for developing improved varieties able to cope with the old and new challenges in horticultural production. es_ES
dc.description.sponsorship This work has been funded in part by the initiative "Adapting Agriculture to Climate Change: Collecting, Protecting and Preparing Crop Wild Relatives", which is supported by the Government of Norway. This 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 has also been received from the European Union's Horizon 2020 Research and Innovation Programme under grant agreement No 677379 (G2P-SOL project: Linking genetic resources, genomes and phenotypes of Solanaceous crops) and from Spanish Ministerio de Economia, Industria y Competitividad and Fondo Europeo de Desarrollo Regional (grant AGL2015-64755-R from MINECO / FEDER). Pietro Gramazio is grateful to Universitat Politecnica de Valencia for a pre-doctoral (Programa FPI de la UPV-Subprograma 1/2013 call) contract. Mariola Plazas is grateful to Ministerio de Economia, Industria y Competitividad for a post-doctoral grant within the Juan de la Cierva programme (FCJI-2015-24835). Giulio Mangino is grateful to Conselleria d'Educacio, Investigacio, Cultura i Esport de la Generalitat Valenciana for a pre-doctoral grant within the Santiago Grisolia programme (GRISOLIAP / 2016/012).
dc.language Inglés es_ES
dc.publisher AcademicPres (EAP) Publishing House es_ES
dc.relation.ispartof Notulae Botanicae Horti Agrobotanici Cluj-Napoca es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Experimental populations es_ES
dc.subject Genetics es_ES
dc.subject Genomics es_ES
dc.subject Genotyping strategies es_ES
dc.subject QTLs es_ES
dc.subject Sequencing es_ES
dc.subject Solanum melongena es_ES
dc.subject.classification GENETICA es_ES
dc.title Genomic tools for the enhancement of vegetable crops: a case in eggplant es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.15835/nbha46110936 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GVA//GRISOLIA%2F2016%2F012/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/677379/EU/Linking genetic resources, genomes and phenotypes of Solanaceous crops/ 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.relation.projectID info:eu-repo/grantAgreement/MINECO//FJCI-2015-24835/ES/FJCI-2015-24835/
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Biotecnología - Departament de Biotecnologia,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.description.bibliographicCitation Gramazio, P.; Prohens Tomás, J.; Plazas Ávila, MDLO.; Mangino, G.; Herraiz García, FJ.; García-Fortea, E.; Vilanova Navarro, S. (2018). Genomic tools for the enhancement of vegetable crops: a case in eggplant. Notulae Botanicae Horti Agrobotanici Cluj-Napoca. 46(1):1-13. https://doi.org/10.15835/nbha46110936 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://doi.org/10.15835/nbha46110936 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 13 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 46 es_ES
dc.description.issue 1 es_ES
dc.relation.pasarela S\347972 es_ES
dc.contributor.funder Generalitat Valenciana es_ES
dc.contributor.funder European Commission es_ES
dc.contributor.funder Ministerio de Economía, Industria y Competitividad es_ES


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