ArticleBMC plant biology2016
Transcriptome profiling of grapevine seedless segregants during berry development reveals candidate genes associated with berry weight.
Article in BMC plant biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Mineral Composition and Quality Traits ofJournal of fungi (Basel, Switzerland) · 2026Article
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- Characterization of Bunch Compactness in a Diverse Collection ofPlants (Basel, Switzerland) · 2025Article
- Dissecting the complex genetic basis of pre- and post-harvest traits inHorticulture research · 2024Article
- Article
- Genetic changes in the genusFrontiers in plant science · 2022Review
- Pre-Anthesis Cytokinin Applications Increase Table Grape Berry Firmness by Modulating Cell Wall Polysaccharides.Plants (Basel, Switzerland) · 2021Article
- Identification of SNPs and InDels associated with berry size in table grapes integrating genetic and transcriptomic approaches.BMC plant biology · 2020Article
- Transcriptome analysis of grapevine under salinity and identification of key genes responsible for salt tolerance.Functional & integrative genomics · 2019Article
- Identification of transcription factor genes involved in anthocyanin biosynthesis in carrot (Daucus carota L.) using RNA-Seq.BMC genomics · 2018Article
- Influence of natural variation in berry size on the volatile profiles of Vitis vinifera L. cv. Merlot and Cabernet Gernischt grapes.PloS one · 2018Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBerry 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.
resultsA 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.
conclusionsWe 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.
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