Bacteria
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA600377 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR10867429.fastq.gz | Fastqsanger.gz | |||
| SRR10867430.fastq.gz | Fastqsanger.gz | |||
| SRR10867431.fastq.gz | Fastqsanger.gz | |||
| SRR10867432.fastq.gz | Fastqsanger.gz |
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Project description:Transcriptional profiling of Vitis vinifera cv. Chardonnay healthy vs. Phytoplasma-infected plants (Bois noir phytoplasma). Study was conducted on grapevine plants grown in the same vineyard (leaf midribs were sampled). Keywords: disease state analysis
2008-03-21 | GSE10906 | GEO
Project description:Transcriptional profiling of Vitis vinifera cv. Chardonnay healthy vs. Phytoplasma-infected plants (Bois noir phytoplasma). Study was conducted on grapevine plants grown in the same vineyard (leaf midribs were sampled). Keywords: disease state analysis Two-condition experiment: healthy vs. infected plants/shoots. Biological replicates: 4 healthy, 4 infected. No replicates. Each sample was prepared as a pool of several samples (each sample was collected from a different shoots/plants) of the same disease status. Each sample was co-hybridized to a common reference cRNA (pool of all samples).
2010-05-25 | E-GEOD-10906 | biostudies-arrayexpress
Project description:White grape (Vitis vinifera cv. Furmint) berry samples subjected to natural noble rot were collected in a vineyard in Mád, Hungary (Tokaj wine region). Raw data include grapevine and Botrytis cinerea sequence reads.
2021-11-25 | E-MTAB-11205 | biostudies-arrayexpress
Project description:Vitis vinifera Pinot Noir Genome sequencing
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Project description:Vitis vinifera cultivar:Pinot Noir Epigenomics
| PRJNA490160 | ENA
Project description:Background: Grape cultivars and wines are distinguishable by their color, flavor and aroma profiles. Omic analyses (transcripts, proteins and metabolites) are powerful tools for assessing biochemical differences in biological systems. Results: Berry skins of red- (Cabernet Sauvignon, Merlot, Pinot Noir) and white-skinned (Chardonnay, Semillon) wine grapes were harvested near optimum maturity from the same experimental vineyard and Ë?Brix-to-titratable acidity ratio. Identical sample aliquots were analyzed for transcripts by grapevine whole-genome oligonucleotide microarray and RNA-seq technologies, proteins by nano-liquid chromatography-mass spectroscopy, and metabolites by gas chromatography-mass spectroscopy and liquid chromatography-mass spectroscopy. Principal components analysis of each of five Omic technologies showed similar results across cultivars in all Omic datasets. Comparison of the processed data of genes mapped in RNA-seq and microarray data revealed a strong Pearson's correlation (0.80). The exclusion of probesets associated with genes with potential for cross-hybridization on the microarray improved the correlation to 0.93. The overall concordance of protein with transcript data was low with a Pearson's correlation of 0.27 and 0.24 for the RNA-seq and microarray data, respectively. Integration of metabolite with protein and transcript data produced an expected model of phenylpropanoid biosynthesis, which distinguished red from white grapes, yet provided detail of individual cultivar differences. Conclusions: The five Omic technologies were consistent in distinguishing cultivar variation. There was high concordance between transcriptomic technologies, but generally protein abundance did not correlate well with transcript abundance. The integration of multiple high-throughput Omic datasets revealed complex biochemical variation amongst five cultivars of an ancient and economically important crop species. Vitis vinifera L. cv. Cabernet Sauvignon, Chardonnay, Merlot, Pinot Noir, Semillon berries were harvested from Nevada Agricultural Experiment Station Valley Road Vineyard, Reno, NV, USA. Whole-genome microarray analysis was used to assess the transcriptomic response of berry skins at harvest, approximately 24 °Brix (2011 vintage). Vines were grown under water deficit and well-watered conditions. At least two clusters harvested from non-adjacent vines were used for each of five experimental replicates.
2015-11-12 | E-GEOD-72421 | biostudies-arrayexpress
Project description:12plex_vitis_2012_04 - cold stress - In temperate species, low temperatures adversely affect plant growth and development, constraining spatial expansion and productivity. Cold can trigger adaptive process or lead to alterations in physiological traits when stress intensity exceeds a certain threshold. Grapevine flower development and fruit set are influenced by cold nights in the vineyard. The correct formation of sexual organs and the success of reproduction are dependent upon sugar supply which can be affected by low temperatures. Many pathways of carbon metabolism may be affected by low temperatures however limited information is available about fluctuations in carbon metabolism in inflorescences. - Experiments were performed on inflorescence of Vitis vinifera L. cv. Pinot noir fruiting cuttings. First, inflorescences at female meiosis were collected the day of the experiment, then cuttings with the inflorescence were placed at 0°C for a 8 h night. Control plants were maintained in a growth chamber for 8 h at 19°C. Inflorescences were collected after 1 h and 8 h of cold. Additional time point was performed 2 h after the end of the cold night by placing the inflorescence at 25°C after the end of the cold night. Control plants were also collected.
2016-10-01 | GSE87296 | GEO
Project description:The rhizosphere bacterial microbiota of Vitis vinifera cv. Pinot Noir in an integrated pest management vineyard Metagenome
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Project description:Plasmopara viticola (Berk. and Curt.) Berl. and de Toni is the agent of the destructive disease known as grapevine downy mildew, for the control of which intensive fungicide treatments are required. Natural sources of resistance are available in several wild Vitis species, which are being used in traditional breeding approaches. However, molecular switches, signals and effectors involved in resistance are poorly understood. In this paper we report a microarray analysis of early transcriptional changes associated to P. viticola infection in both susceptible Vitis vinifera and resistant Vitis riparia plants (12 and 24 h post inoculation). To provide a biological basis to the choice of time points for transcriptome analyses, we performed microscopic examinations of infected tissues at 12, 24, 48 and 96 hpi. Data suggest that resistance in V. riparia is mainly a post-infectional event and involves a large reprogramming of host metabolism. Transcripts of signal transduction-related genes are specifically and often strongly accumulated in response to infection. Well known defence genes also show marked transcript increases, especially pathogenesis-related proteins PR-10 and stylbene synthases, and genes related to an hypersensitive reaction. On the other hand, V. vinifera mounts a much weaker transcriptional response, involving mainly defence genes, not effective enough in preventing pathogen infection. Leaves from one resistant (V. riparia cv. Gloire de Montpellier) and one susceptible (V.vinifera cv. Pinot Noir) grapevine cultivars grown in vitro were infected with the oomycete Plasmopara viticola, and transcriptome changes were investigated at 12h and 24h after infection. Three biological replicates were considered and each hybridization was performed twice. One color labeling was performed
2010-06-24 | E-GEOD-18596 | biostudies-arrayexpress
Project description:Vitis vinifera cultivar:Pinot Noir Raw sequence reads
| PRJNA323697 | ENA