Transcriptome analysis of 5 red Italian grapevine varieties during berry development
Ontology highlight
ABSTRACT:
ORGANISM(S): Vitis vinifera
PROVIDER: GSE62744 | GEO | 2015/01/19
SECONDARY ACCESSION(S): PRJNA265040
REPOSITORIES: GEO
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Project description:We report the berry pericarp transcriptomic profiles of 5 red Vitis vinifera varieties: Sangiovese, Barbera, Negro amaro, Refosco and Primitivo at 4 growth stages: pea-sized berries (Bbch 75) at almost 20 days after flowering, berries beginning to touch (Bbch77) just prior véraison, the softening of the berries (Bbch 85) at the end of véraison and berries ripe for harvest (Bbch 89) mRNA profiles of 5 red grapevine varieties at 4 growth stages were generated by deep sequencing, in triplicate, using Illumina Hiseq 1000.
2015-01-19 | E-GEOD-62744 | biostudies-arrayexpress
Project description:We report the berry pericarp transcriptomic profiles of 5 white Vitis vinifera varieties: Vermentino, Garganega, Glera, Moscato bianco and Passerina at 4 growth stages: pea-sized berries (Bbch 75) at almost 20 days after flowering, berries beginning to touch (Bbch77) just prior véraison, the softening of the berries (Bbch 85) at the end of véraison and berries ripe for harvest (Bbch 89)
2017-06-28 | GSE62745 | GEO
Project description:The experiment was aimed at describing similarities and differences between grapevine flesh and skin ripening at the transcriptome level. Transcriptional profiles throughout flesh and skin ripening were followed in three biological replicas during two consecutive growing seasons in a table grape cultivar ‘Muscat Hamburg’. Berries were weekly picked off bunches (one bunch per vine from each selected vine) from june to august. For each sampling, berries were classified in five ripening stages based on monitoring developmental stages instead of a simple chronological sampling. They corresponded to pre-véraison (P), 50% véraison (V1), 100% véraison (V2), ripe 1 (R1), and ripe 2 R2). P samples were harvested as green, hard berries of at least 15 mm in size, according to touch-assessed hardiness. Véraison berries with half or full coloured skin surface corresponded to V1 and V2 samples. After véraison, ripening berries were classified according to their floatability in solutions with different NaCl densities, as an indication of the internal sugar concentration. At this stage berries were sampled with densities between 110-130 g NaCl/L for R1 and between 130-150 g NaCl/L for R2, which corresponded to commercially ripen table grape berries. On each of the five samples, frozen berries were dissected and RNA from flesh and skin was obtained and processed for Grapegen Genechip microarray hybridizations. ****[PLEXdb(http://www.plexdb.org) has submitted this series at GEO on behalf of the original contributor, Pablo Carbonell-Bejerano. The equivalent experiment is VV33 at PLEXdb.]
2012-09-27 | GSE41206 | GEO
Project description:Berries were sample at three developmental stages (green, veraison and ripe) and flash frozen in the field in liquid nitrogen. The frozen tissue was subsequently ground in liquid nitrogen and stored at 80°C. At least three independent berry samples were collected (with n≥50 berries per sample) at three time points: at pre-véraison/green stage (Eichhorn-Lorenz (E-L) system stage 31), at véraison (E-L stage 34) and at ripe/harvest stage (E-L stage 38)
2012-12-31 | GSE34634 | GEO
Project description:Berries were sample at three developmental stages (green, veraison and ripe) and flash frozen in the field in liquid nitrogen. The frozen tissue was subsequently ground in liquid nitrogen and stored at 80°C. At least three independent berry samples were collected (with n≥50 berries per sample) at three time points: at pre-véraison/green stage (Eichhorn-Lorenz (E-L) system stage 31), at véraison (E-L stage 34) and at ripe/harvest stage (E-L stage 38) Ground tissues for each developmental stage were pooled. Replicates: Separate RNA extractions were performed on aliquots of the ground tissue from each developmental stage, labeled and hybiridized to the microarrays
2012-12-31 | E-GEOD-34634 | biostudies-arrayexpress
Project description:Blueberry is one of the most desirable and nutritious fruits. During fruit development, the blueberry’s organoleptic properties and phytonutrient composition are ever-changing [1]. Blueberry fruit development is typically described in five phases: pads, cups, green, pink, and blue (ripe) [2]. The former two phases are referred to as the initial “expansion”. During expansion, young fruit is generally hard, dark green and distinguishable by size [3]. The latter three phases are referred to as maturation. Green fruit are hard and fully rounded green berries; pink berries are partially pigmented; blue (ripe) berries are fully colored and soft. Fruit maturation has attracted considerable research attention, and typically, the characteristics fruit softening, coloring, and sweetening are assessed [4].
2019-05-13 | PXD011815 | Pride
Project description:Background: Cluster thinning is an agronomic practice in which a proportion of berry clusters are removed from the vine to increase the source/sink ratio and improve the quality of the remaining berries. Until now no transcriptomic data have been reported describing the mechanisms that underlie the agronomic and biochemical effects of thinning. Results: We profiled the transcriptome of Vitis vinifera cv. Sangiovese berries before and after thinning at veraison using a genome-wide microarray representing all grapevine genes listed in the latest V1 gene prediction. Thinning increased the source/sink ratio from 0.6 to 1.2 m2 leaf area per kg of berries and boosted the sugar and anthocyanin content at harvest. Extensive transcriptome remodeling was observed in thinned vines 2 weeks after thinning and at ripening. This included the enhanced modulation of genes that are normally regulated during berry development and the induction of a large set of genes that are not usually expressed. Conclusion: Cluster thinning has a profound effect on several important cellular processes and metabolic pathways including carbohydrate metabolism and the synthesis and transport of secondary products. The integrated agronomic, biochemical and transcriptomic data revealed that the positive impact of cluster thinning on final berry composition reflects a much more complex outcome than simply enhancing the normal ripening process. Total RNA recovered from a pool of berries derived from three control plants (C) was compared to total RNA from a pool of berries derived from three cluster thinned vines (50% of cluster removed) at beginning of véraison (BV), end of véraison (EV) and harvest (H). For each sampling date microarray analyses were conducted for three different biological replicates for treatment.
2012-03-05 | E-GEOD-36234 | biostudies-arrayexpress
Project description:A bunch of grapes at veraison is comprised of berries at different stages of development ranging from hard green to soft ripe red. Veraison represents an important transition stage in the ripening process where key genes may be switched on or off. Single berries at various stages of development from hard green to ripe red were collected at a single time point from a single bunch of grapes going through veraison. Gene expression patterns were obtained from single berries representing different developmental stages. Keywords: Developmental series
2018-11-22 | GSE7394 | GEO
Project description:Pinot Meunier L1 dwarf grapevines were grown in a growth cabinet and both unripe (preveraison) and ripe (postveraison) berries were collected after various time points post heat shock treatment. The gene expression profiles of treated berries were compared to controls to identify gene expression changes associated with the heat shock response. Keywords: Heat shock treatment effect
2018-11-22 | GSE8389 | GEO
Project description:Purpose: The goal of this study is to detect the environmental influence on small RNAs population (miRNAs and other smallRNAs) in berries from two different grapevine varieties, evaluating Genotype x Environment interactions. Methods: The grapevine berries were collected in liquid nitrogen and their small RNA fractions were isolated from total RNA for library construction and subsequent sequencing on an Illumina HiSeq 2000. Results: Reads were mapped to the reference Vitis vinifera L. genomic sequence V1 (PN40024, (Jaillon et al., 2007) using Bowtie and retaining reads perfectly aligned to the genome. The static clustering analysis was carried out, using a proximity-based pipeline built with custom Perl and database scripts and MySQL database queries, to group and quantify clusters of small RNAs. The identification of annotated (conserved or known) and novel (or specie-specific) miRNAs was carried out applying a conservative and robust pipeline. Conclusions: Our results show that the distribution of small RNA-producing loci is variable between the two cultivars, and that the level of variation depends on the vineyard. Differently, the profile of miRNA accumulation mainly depends on the developmental stage. One of the environment, Riccione, maximizes the differences between the varieties, promoting the production of more than one thousand specific small RNA loci and modulating their expression depending on the cultivar and the maturation stage. The grapevine berries were collected for the sequencing at four different developmental stages from Cabernet Sauvignon (CS) and Sangiovese (SG) clones grown side by side in three different vineyards. The vineyards are located in three typical wine making italian areas: Bolgheri (Bol), a coastal area of Tuscany, Montalcino (Mont) a mountain area of Tuscany, and Riccione (Ric), a plain area of Emilia-Romagna.
2016-08-16 | E-GEOD-85611 | biostudies-arrayexpress