Drought Stress and Vitis Vinifera in different cultivars.
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB41682 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Berry skin total protein from Cabernet Sauvignon, Merlot, Pinot Noir, Chardonnay and Semillon. Treatments were control (well-watered) versus restricted irrigation (water-deficit). Samples were taken from harvest-ripe whole berry clusters following a seasonal water deficit in treatment vines. A comparative analysis between the cultivars and treatments was performed. Associated dataset identifiers: GSE72421, PRJNA268857.
2017-12-11 | PXD001661 | Pride
Project description:Three grapevines cultivars (Merlot, Cabernet-Sauvignon and Ugni Blanc) were infected by E. lata. The expression profiles of the wood part near the infection point were determined for both infected and non infected plant for each cultivars with Nimblegen microarrays vitis. Three plants were used for biological replicates. Comparisons between infected and non infected conditions allow, for each cultivars, the identifcation of genes which the expression is modified by E. lata.
2014-02-19 | E-MTAB-1514 | biostudies-arrayexpress
Project description:We generated the global transcriptome profile of the two rice genotypes under control and drought conditions. More than 80 million high-quality reads were obtained for each cultivar and different conditions using the Illumina platform. Reference-based assembly was generated for each cultivar and condition. Differentially expressed genes were identified between drought and control condittons for each cultivar.
2023-12-31 | GSE183894 | GEO
Project description:Systems responses of mature leaves from 4 reference cultivars of a larger collection of European potato cultivars (Solanum tuberosum L.) are investigated by metabolome profiling and RNA-Sequencing. The chosen reference cultivars, Milva, Alegria, Desiree, and Saturna, vary in ascending order in regard to drought tolerance. Systems analyses are based on 3 independent field trials and 3 paralleled greenhouse trials. Robust responses across all cultivars and conditions to natural seasonal drought stress comprise proline, raffinose, galactinol, arabitol, arabinonic acid, chlorogenic acid, and 102 transcripts which consist to a high proportion of heat shock proteins and genes with signaling or regulatory functions, such as a homolog of abscisic acid receptor PYL4. Constitutive differences of the tolerant cultivars, Desiree and Saturna, compared to the sensitive cultivars include arbutin (hydroquinone-β-D-glucopyranoside), octopamine (p-hydroxyphenylethanolamine), ribitol and 248 differential transcripts. Many of these transcripts are disease related, receptor kinases, or regulatory genes, for example a homolog of the Arabidopsis FOUR LIPS MYB-regulator of stomatal cell proliferation. Functional enrichment analyses imply that heat stress is a major acclimation component of potato leaves to agronomical relevant drought stress. Enhanced leaf heat stress is a result of drought caused by loss of transpiration cooling. This effect and CO2-limitation are the main dilemmas of drought- or ABA-induced stomatal closure. Constitutive differences between tolerant and sensitive cultivars indicate partially synergistic interactions of drought and biotic stress responses. We suggest that drought tolerance of the potato reference cultivars may be caused by general resistance mechanisms which are part of previously selected pathogen tolerance.
2016-07-06 | GSE77826 | GEO
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:Systems responses of mature leaves from 4 reference cultivars of a larger collection of European potato cultivars (Solanum tuberosum L.) are investigated by metabolome profiling and RNA-Sequencing. The chosen reference cultivars, Milva, Alegria, Desiree, and Saturna, vary in ascending order in regard to drought tolerance. Systems analyses are based on 3 independent field trials and 3 paralleled greenhouse trials. Robust responses across all cultivars and conditions to natural seasonal drought stress comprise proline, raffinose, galactinol, arabitol, arabinonic acid, chlorogenic acid, and 102 transcripts which consist to a high proportion of heat shock proteins and genes with signaling or regulatory functions, such as a homolog of abscisic acid receptor PYL4. Constitutive differences of the tolerant cultivars, Desiree and Saturna, compared to the sensitive cultivars include arbutin (hydroquinone-beta-D-glucopyranoside), octopamine (p-hydroxyphenylethanolamine), ribitol and 248 differential transcripts. Many of these transcripts are disease related, receptor kinases, or regulatory genes, for example a homolog of the Arabidopsis FOUR LIPS MYB-regulator of stomatal cell proliferation. Functional enrichment analyses imply that heat stress is a major acclimation component of potato leaves to agronomical relevant drought stress. Enhanced leaf heat stress is a result of drought caused by loss of transpiration cooling. This effect and CO2-limitation are the main dilemmas of drought- or ABA-induced stomatal closure. Constitutive differences between tolerant and sensitive cultivars indicate partially synergistic interactions of drought and biotic stress responses. We suggest that drought tolerance of the potato reference cultivars may be caused by general resistance mechanisms which are part of previously selected pathogen tolerance. Transcriptome profiling by RNA-sequencing of 48 leaf samples from 4 potato cultivars grown under control or drought stress conditions in 6 independent experiments
2016-07-06 | E-GEOD-77826 | biostudies-arrayexpress
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 ˚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.
2015-11-12 | GSE72421 | GEO
Project description:Traditional rice varieties found in India have many desirable characteristics. Amongst them, their differential responses to abiotic and biotic stresses are of great agricultural importance. Drought or osmotic stress is one of the major abiotic stresses afflicting crop plants in India. Indigenous varieties like Dagad deshi have been found to be drought resistant and, thereby, are being studied in great detail by plant breeders and biotechnologists alike. In this study, we have analyzed the transciptomes of two contrasting cultivars, i.e. Dagad deshi (tolerant) and IR20 (susceptible), under control and stress conditions to elucidate the differences in their responses to drought stress using Affymetrix microarray platform.
2015-06-30 | GSE41647 | GEO
Project description:Wheat cultivars ‘TAM 111’ and ‘TAM 112’ have been dominantly grown in the Southern U.S. Great Plains for many years due to their excellent, yet variable, drought tolerance. To identify the molecular basis and genetic control of drought tolerance in these two landmark cultivars, RNA-seq analysis was conducted to compare gene expression difference in flag leaves under fully irrigated (wet) and water deficient (dry) conditions. Of the 122,017 gene sequences assembled, 2,254 genes showed significantly altered expression patterns under dry and wet conditions in the two cultivars. TAM 111 had 593 and 1,532 dry-wet differentially expressed genes (DEGs), and TAM 112 had 777 and 1,670 at heading and grain-filling stages, respectively. The two cultivars have 1,214 (53.9%) dry-wet DEGs in common, which agreed with their excellent adaption to drought, but 438 and 602 dry-wet DEGs were respectively shown only in TAM 111 and TAM 112 suggested that each may have a specific mechanism to cope with drought. Annotation of all 2,254 genes with dry-wet expression difference found 1,855 have functions related to biosynthesis, stress responses, defense responses, transcription factors and cellular components related to ion or protein transportation and signal transduction. Comparing hierarchical structure of biological processes, molecule functions and cellular components revealed the significant regulation differences between TAM 111 and TAM 112, particularly for genes of phosphorylation and adenyl ribonucleotide binding, and proteins located in nucleus and plasma membrane. Comparing gene expressions involved in responses to stresses of water deprivation, heat and oxidative, ABA-induced signal pathway and transcription regulation found TAM 112 have more specific dry-wet DEGs than TAM 111 with most of them up-regulated, indicating that TAM 112 is more active than TAM 111 in response to drought. In addition, 399 dry-wet DEGs with unknown functions included 258 genes encoding predicted uncharacterized proteins and 141 unannotated genes with no similar sequences identified in the databases. These may represent novel genes related to drought response in TAM 111 or TAM 112. This research thus revealed different drought-tolerance mechanisms in TAM 111 and TAM 112 and identified useful drought tolerance genes for wheat adaption.
2020-08-29 | GSE157033 | GEO
Project description:Traditional rice varieties found in India have many desirable characteristics. Amongst them, their differential responses to abiotic and biotic stresses are of great agricultural importance. Drought or osmotic stress is one of the major abiotic stresses afflicting crop plants in India. Indigenous varieties like Dagad deshi have been found to be drought resistant and, thereby, are being studied in great detail by plant breeders and biotechnologists alike. In this study, we have analyzed the transcriptomes of two contrasting cultivars, i.e. Dagad deshi (tolerant) and IR20 (susceptible), under control and stress conditions to elucidate the differences in their responses to drought stress using Affymetrix microarray platform. Hydroponically grown seven-day-old seedlings of Dagad deshi and IR20 were subjected to drought stress by placing them on 3 mm Whatmann sheets under light for 3 h and 6 h at 28±1oC. For control samples, seedlings were kept in RGM (root growth medium) for 6 h at 28±1oC. RNA extracted from each sample was hybridized on rice Affymetrix microarrays. Three biological replicates of each sample were used for microarray analysis. Overall, eighteen samples were analyzed representing control, 3 h and 6 h of dehydration stress for each cultivar (Dagad deshi and IR20).
2015-06-30 | E-GEOD-41647 | biostudies-arrayexpress