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Transcriptome profiling of grapevine seedless segregants during berry development reveals candidate genes associated with berry weight

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dc.contributor.author Muñoz-Espinoza, Claudia
dc.contributor.author Di Genova, Alex
dc.contributor.author Correa, José
dc.contributor.author Silva, Romina
dc.contributor.author Maass, Alejandro
dc.contributor.author González-Agüero, Mauricio
dc.contributor.author Orellana, Ariel
dc.contributor.author Hinrichsen, Patricio
dc.date.accessioned 2016-07-28T20:39:19Z
dc.date.available 2016-07-28T20:39:19Z
dc.date.issued 2016-04
dc.identifier.citation BMC Plant BiologyBMC series – open, inclusive and trusted 2016 16:104 es
dc.identifier.issn 1471-2229
dc.identifier.other DOI: 10.1186/s12870-016-0789-1
dc.identifier.uri http://repositorio.unab.cl/xmlui/handle/ria/1565
dc.description Indexación: Web of Science; PubMed es
dc.description.abstract Background Berry size is considered as one of the main selection criteria in table grape breeding programs. However, this is a quantitative and polygenic trait, and its genetic determination is still poorly understood. Considering its economic importance, it is relevant to determine its genetic architecture and elucidate the mechanisms involved in its expression. To approach this issue, an RNA-Seq experiment based on Illumina platform was performed (14 libraries), including seedless segregants with contrasting phenotypes for berry weight at fruit setting (FST) and 6–8 mm berries (B68) phenological stages. Results A group of 526 differentially expressed (DE) genes were identified, by comparing seedless segregants with contrasting phenotypes for berry weight: 101 genes from the FST stage and 463 from the B68 stage. Also, we integrated differential expression, principal components analysis (PCA), correlations and network co-expression analyses to characterize the transcriptome profiling observed in segregants with contrasting phenotypes for berry weight. After this, 68 DE genes were selected as candidate genes, and seven candidate genes were validated by real time-PCR, confirming their expression profiles. Conclusions We have carried out the first transcriptome analysis focused on table grape seedless segregants with contrasting phenotypes for berry weight. Our findings contributed to the understanding of the mechanisms involved in berry weight determination. Also, this comparative transcriptome profiling revealed candidate genes for berry weight which could be evaluated as selection tools in table grape breeding programs. es
dc.description.uri http://bmcplantbiol.biomedcentral.com/articles/10.1186/s12870-016-0789-1
dc.language.iso en es
dc.publisher BIOMED CENTRAL es
dc.subject RNA-seq es
dc.subject Table grapes es
dc.subject Berry weight es
dc.subject Functional genomics es
dc.subject Candidate genes es
dc.subject VITIS-VINIFERA L. es
dc.subject QUANTITATIVE TRAIT LOCI es
dc.subject RNA-SEQ es
dc.subject CABERNET-SAUVIGNON es
dc.subject PROTEOMIC ANALYSIS es
dc.subject PROTEIN-KINASES es
dc.subject R-PACKAGE es
dc.subject IDENTIFICATION es
dc.subject EXPRESSION es
dc.subject ARABIDOPSIS es
dc.title Transcriptome profiling of grapevine seedless segregants during berry development reveals candidate genes associated with berry weight es
dc.type Article es


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