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dc.contributor.authorBadenes, María Luisaes_ES
dc.contributor.authorFernández i Martí, Angel V.es_ES
dc.contributor.authorRíos, Gabinoes_ES
dc.contributor.authorRubio Cabetas, María Josées_ES
dc.date.accessioned2016-11-29T09:08:43Z-
dc.date.available2016-11-29T09:08:43Z-
dc.date.issued2016es_ES
dc.identifier.citationFrontiers in Genetics, 7en
dc.identifier.urihttp://hdl.handle.net/10532/3523-
dc.description.abstractThe recent introduction of Next Generation Sequencing (NGS) technologies represents a major revolution in providing new tools for identifying the genes and/or genomic intervals controlling important traits for selection in breeding programs. In perennial fruit trees with long generation times and large sizes of adult plants, the impact of these techniques is even more important. High-throughput DNA sequencing technologies have provided complete annotated sequences in many important tree species. Most of the high-throughput genotyping platforms described are being used for studies of genetic diversity and population structure. Dissection of complex traits became possible through the availability of genome sequences along with phenotypic variation data, which allow to elucidate the causative genetic differences that give rise to observed phenotypic variation. Association mapping facilitates the association between genetic markers and phenotype in unstructured and complex populations, identifying molecular markers for assisted selection and breeding. Also, genomic data provide in silico identification and characterization of genes and gene families related to important traits, enabling new tools for molecular marker assisted selection in tree breeding. Deep sequencing of transcriptomes is also a powerful tool for the analysis of precise expression levels of each gene in a sample. It consists in quantifying short cDNA reads, obtained by NGS technologies, in order to compare the entire transcriptomes between genotypes and environmental conditions. The miRNAs are non-coding short RNAs involved in the regulation of different physiological processes, which can be identified by high-throughput sequencing of RNA libraries obtained by reverse transcription of purified short RNAs, and by in silico comparison with known miRNAs from other species. All together, NGS techniques and their applications have increased the resources for plant breeding in tree species, closing the former gap of genetic tools between trees and annual species.en
dc.language.isoenes_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/es/*
dc.subject.otherHortofruticulturaes_ES
dc.titleApplication of Genomic Technologies to the Breeding of Treesen
dc.typeJournal Contribution*
dc.bibliographicCitation.volume7es_ES
dc.subject.agrovocÁrboles frutaleses
dc.subject.agrovocMarcadores genéticoses
dc.subject.agrovocIngeniería genéticaes
dc.description.statusPublishedes_ES
dc.type.refereedNon-Refereedes_ES
dc.type.specifiedArticlees_ES
dc.bibliographicCitation.titleFrontiers in Geneticsen
dc.relation.doi10.3389/fgene.2016.00198es_ES
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