Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Pinot Noir berry transcriptome during ripening.

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). 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.

ORGANISM(S): Vitis vinifera

PROVIDER: GSE31674 | GEO | 2011/08/27

SECONDARY ACCESSION(S): PRJNA145369

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

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

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

2008-01-16 | E-MEXP-1282 | biostudies-arrayexpress

Gene expression in grapevine in response to Bois noir infection

Project description:Transcriptional changes in field-grown plants of Vitis Vinifera cultivars 'Chardonnay' and 'Incrocio Manzoni' naturally infected with Bois Noir phytoplasma, compared to healthy samples. ****[PLEXdb(http://www.plexdb.org) has submitted this series at GEO on behalf of the original contributor, Nicola Pecchioni. The equivalent experiment is VV14 at PLEXdb.]

2009-09-09 | GSE12842 | GEO

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 Pinot Noir Genome sequencing

| PRJNA951461 | ENA

Vitis vinifera cultivar:Pinot Noir

Project description:Vitis vinifera cultivar:Pinot Noir Epigenomics

| PRJNA490160 | ENA

Transcription profiling of grapevine Vitis vinifera cultivars Chardonnay and Incrocio Manzoni naturally infected with Bois Noir phytoplasma compared to healthy samples

Project description:Transcriptional changes in field-grown plants of Vitis Vinifera cultivars 'Chardonnay' and 'Incrocio Manzoni' naturally infected with Bois Noir phytoplasma, compared to healthy samples. SUBMITTER_CITATION: Albertazzi G., Caffagni A., Milc J.A., Francia E., Roncaglia E., Ferrari F., Tagliafico E., Stefani E., Pecchioni N. (2009) Gene expression in grapevine cultivars in response to Bois Noir phytoplasma infection. Plant Science 176: 792-804. ****[PLEXdb(http://www.plexdb.org) has submitted this series at GEO on behalf of the original contributor, Nicola Pecchioni. The equivalent experiment is VV14 at PLEXdb.] Experiment Overall Design: genotype: Chardonnay - disease type: Bois Noir infected(3-replications); genotype: Chardonnay - disease type: Healthy(3-replications); genotype: Incrocio Manzoni - disease type: Bois Noir infected(2-replications); genotype: Incrocio Manzoni - disease type: Healthy(2-replications)

2009-11-16 | E-GEOD-12842 | biostudies-arrayexpress

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