Browse
Submit Data
Databases
API
Help

Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Transcription profiling of grapevine cultivar Pinot Noir berry development during three seasons.

ABSTRACT: Global gene expression analysis of grapevine cv. Pinot Noir berries during development and ripening. Time-course comparison of samples collected at three developmental stages (stages 33, 34 and 36 according to the modified E-L system, ref: Coombe BG, Aust J Grape Wine Res 1995, 1: 104-110) during three seasons (2003, 2005 and 2006).

ORGANISM(S): Vitis vinifera

SUBMITTER: Stefania Pilati

PROVIDER: E-MEXP-1282 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Publications

Genome-wide transcriptional analysis of grapevine berry ripening reveals a set of genes similarly modulated during three seasons and the occurrence of an oxidative burst at vèraison.

Pilati Stefania S Perazzolli Michele M Malossini Andrea A Cestaro Alessandro A Demattè Lorenzo L Fontana Paolo P Dal Ri Antonio A Viola Roberto R Velasco Riccardo R Moser Claudio C

BMC genomics 20071122

<h4>Background</h4>Grapevine (Vitis species) is among the most important fruit crops in terms of cultivated area and economic impact. Despite this relevance, little is known about the transcriptional changes and the regulatory circuits underlying the biochemical and physical changes occurring during berry development.<h4>Results</h4>Fruit ripening in the non-climacteric crop species Vitis vinifera L. has been investigated at the transcriptional level by the use of the Affymetrix Vitis GeneChip w ...[more]

PMID: 18034875

Similar Datasets

Pinot Noir berry transcriptome during ripening.

2011-08-27 | GSE31674 | GEO

Pinot Noir berry transcriptome during ripening.

Project description:Global gene expression analysis of grapevine cv. Pinot Noir berries during development and ripening. Time-course comparison of samples collected at three developmental stages (stages 33, 34 and 36 according to the modified E-L system, ref: Coombe BG, Aust J Grape Wine Res 1995, 1: 104-110) during three seasons (2003, 2005 and 2006). Data for each of the three seasons were normalized independently within each season, using gcRMA. PLEXdb (http://www.plexdb.org) has submitted this series at GEO on behalf of the original contributor, Stefania Pilati. The equivalent experiment is VV11 at PLEXdb. year: 2003 - developmental stage: UD:0000034 33E-L (3-replications); year: 2003 - developmental stage: UD:0000035 34E-L (3-replications); year: 2003 - developmental stage: UD:0000037 36E-L (3-replications); year: 2005 - developmental stage: UD:0000034 33E-L (3-replications); year: 2005 - developmental stage: UD:0000035 34E-L (3-replications); year: 2005 - developmental stage: UD:0000037 36E-L (3-replications); year: 2006 - developmental stage: UD:0000034 33E-L (3-replications); year: 2006 - developmental stage: UD:0000035 34E-L (3-replications); year: 2006 - developmental stage: UD:0000037 36E-L (3-replications)

2011-08-26 | E-GEOD-31674 | biostudies-arrayexpress

Vitis vinifera cultivar:Pinot Noir

Project description:Vitis vinifera Pinot Noir Genome sequencing

| PRJNA951461 | ENA

Vitis vinifera cultivar:Pinot Noir

Project description:Vitis vinifera cultivar:Pinot Noir Epigenomics

| PRJNA490160 | ENA

Cluster thinning effect on Pinot noir berry ripening.

Project description:The impact of yield on fruit and wine quality has been studied extensively; vine response to increased yield is well known, but responsible mechanisms – including the regulation of pathways responsible for color, aroma and mouthfeel – have not been characterized at the level of genetic regulation. To examine the impact of crop load on transcriptomic and metabolomic changes during grape berry maturation vines from two cluster thinning treatments (50% or 75% of clusters removed following fruit set) were compared to control vines (no cluster thinning). Treatments were applied to mature Pinot noir grapevines over three consecutive vintages. Agronomic parameters, including yield per vine and the yield to pruning weight ratio, as well as fruit and wine composition, were determined at harvest. Fruit transcriptomic and metabolomic changes were measured in berry samples collected from each treatment at 7 to 10 day intervals from fruit set to harvest. The patterns of berry development by weight, sugar accumulation, and malic acid degradation indicated that vines responded differentially to crop load reduction by accelerating berry maturation progress. RNA-Seq analysis, and untargeted GC-MS and UHPLC-QTOF-MS -based metabolomic approaches were used. The indication of the acceleration of maturation transcriptional programs and of metabolite accumulation in the treated vines was suggested by multivariate analyses. To identify the transcriptional key triggers of this response we applied a two-regression step statistical approach which identified genes modulated over development dependent on the crop load. Comparing vintages we were able to estimate the environmental influence on the crop load treatments among years. The application of this multifaceted approach allowed the construction of robust models describing the impact of crop load on the genetic regulation of grape maturation.

2022-12-31 | GSE101532 | GEO

Transcriptome analysis along berry development of 'Syrah' x 'Pinot Noir' offspring extreme for flavonoid content

Project description:Anthocyanins and flavonols are natural compounds that accumulate preferentially in grapevine flowers and fruits. They are among the most abundant flavonoids and play a very important role in grape and wine quality. In particular, they confer and stabilize colour and contribute to other organoleptic characteristics of the final product. Their complex profile in terms of concentration and relative abundance varies among cultivars and makes wine typicity. The synthesis of these compounds is mainly regulated at transcriptional level. Flavonoids accumulate at specific stages and in specific tissues during flower and berry development, as a consequence of the timely expression of the genes necessary for their synthesis. Although the general flavonoid pathway has been genetically and biochemically elucidated and the main determinants of colour have been identified, the molecular reasons of the fine variation among grape cultivars are still not completely understood. To shed light on this issue, extreme genotypes of a segregating population derived from the cross Syrah x Pinot Noir were characterized at transcriptional level. The transcriptome analysis along three berry developmental stages of these genotypes has allowed the identification of a large set of transcripts differentially modulated between the two groups.

2014-08-13 | GSE42909 | GEO

Vitis vinifera cultivar:Pinot Noir

Project description:Vitis vinifera cultivar:Pinot Noir Raw sequence reads

| PRJNA323697 | ENA

Vitis vinifera cultivar:Pinot Noir

Project description:Vitis vinifera cultivar:Pinot Noir Transcriptome or Gene expression

| PRJNA323698 | ENA

Vitis vinifera cultivar:Pinot Noir

Project description:Vitis vinifera cultivar:Pinot Noir Transcriptome or Gene expression

| PRJNA736298 | ENA

Transcription profiling of grapevine cell cultures treated with DIMEB, a resveratrol elicitor

Project description:Analysis od the transcriptome changes of Vitis riparia x Vitis berlandieri culture cells in response to the modified beta-cyclodextrin, DIMEB, a resveratrol inducer. <br>Cell cultures were treated for 6 hours with 50 mM DIMEB (and without, as reference) and then used for Affymetrix Vitis GeneChip v1.0 hybridization. The experiment has been performed in biological triplicates.

2009-11-01 | E-MEXP-2114 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data