Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Transcription profiling of V. vinifera Cabernet sauvignon and V. aestivalis Norton innoculated with Erysiphe necator conidiospores

ABSTRACT: we analyzed pathogen-induced changes in the transcriptome of Vitis vinifera âCabernet sauvignonâ and Vitis aestivalis âNortonâ by conducting a large-scale study to measure transcript abundance at 0, 4, 8, 12, 24, and 48 hours post-treatment in conidiospore- and mock-inoculated leaves using Affymetrix GeneChip Vitis vinifera Genome Array Experiment Overall Design: sixty plants were grown in each of two identical growth chamber labeled as Inoculation and Mock-inoculation under same conditions. Pairs of vines of same size were labeled, one with an âIâ, the other with a âMâ prefix for âinoculatedâ and âmockâ. The vines in each pair received the same ID number. This resulted in balanced groups for inoculated and mock-inoculated vines. âIâ and âMâ vines of a pair were placed in corresponding locations on the bench of the two growth chambers. The locations of the vines were determined by randomizing their ID numbers. Thus, the âIâ and âMâ groups were balanced according to their size and to their locations within the growth chamber. All vines were positioned at the same height from the light source. The locations of the individual plants within the growth chamber were recorded. At a time point, 10 randomly selected pairs of plants were sampled. (For example, at 8 hours post-inoculation, vines I-3, I-17, I -23, ..etc., and vines M-3, M-17, M-23, ...etc. were sampled from the âIâ and the âMâ growth chambers, respectively). The 10 corresponding leaves were combined into a single sample. At the next time point, another set of randomly selected 10 pairs were sampled from among the remaining plants, and so on. This random selection was independent from the random selection implemented to determine the location of the vines in the growth chambers

ORGANISM(S): Vitis aestivalis

SUBMITTER: Wenping Qiu

PROVIDER: E-GEOD-6404 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Powdery mildew induces defense-oriented reprogramming of the transcriptome in a susceptible but not in a resistant grapevine.

Fung Raymond W M RW Gonzalo Martin M Fekete Csaba C Kovacs Laszlo G LG He Yan Y Marsh Ellen E McIntyre Lauren M LM Schachtman Daniel P DP Qiu Wenping W

Plant physiology 20071109 1

Grapevines exhibit a wide spectrum of resistance to the powdery mildew fungus (PM), Erysiphe necator (Schw.) Burr., but little is known about the transcriptional basis of the defense to PM. Our microscopic observations showed that PM produced less hyphal growth and induced more brown-colored epidermal cells on leaves of PM-resistant Vitis aestivalis 'Norton' than on leaves of PM-susceptible Vitis vinifera 'Cabernet sauvignon'. We found that endogenous salicylic acid levels were higher in V. aest ...[more]

PMID: 17993546

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Project description:AtGenExpress: A multinational coordinated effort to uncover the transcriptome of the multicellular model organism Arabidopsis thaliana (Hybridisations done at NASC); The activity of genes and their encoded products can be regulated in several ways, but transcription is the primary level, since all other modes of regulation (RNA splicing, RNA and protein stability, etc.) are dependent on a gene being transcribed in the first place. The importance of transcriptional regulation has been underscored by the recent flood of global expression analyses, which have confirmed that transcriptional co-regulation of genes that act together is the norm, not the exception. Moreover, many studies suggest that evolutionary change is driven in large part by modifications of transcriptional programs. An essential first step toward deciphering the transcriptional code is to determine the expression pattern of all genes. With this goal in mind, an international effort to develop a gene expression atlas of Arabidopsis has been underway since fall 2003. This project, dubbed AtGenExpress, is funded by the DFG, and will provide the Arabidopsis community with access to a large set of Affymetrix microarray data. As part of this collaboration, we have generated expression data from 80 biologicaly different samples in triplicate. Series 2: Base line experiment for pathogen infection. Growth and infection conditions: Seeds will be stratified for 3 days at 4Â°C and sown on soil. Plants are grown at 22Â°C under a 8/16 hour light/dark regime in Percival growth chambers. All pathogen treatments will be performed on leaves of 5-weeks old plants. Bacterial infiltrations will be performed with 10-8 cfu/ml in 10 mM MgCl2. 5x105 spores of Phytophthora infestans in water will be applied to leaf surfaces. LPS (100 Âµg/ml), HrpZ (1 ÂµM), NPP1 (2 ÂµM) or flagellin (1 ÂµM flg22) will be applied in water. Experiments should be performed in triplicate at the time points indicated below. Experimenter name = Dierk Scheel , Frederic Brunner , Lore Westphal; Experimenter institute = AtGenExpress Experiment Overall Design: 18 samples were used in this experiment

Project description:Infection by the pathogen grape powdery mildew (Erysiphe necator) causes changes in the transcriptome of its susceptible host Vitis vinifera. Infection triggers the host to synthesize the signaling molecule salicylic acid (SA) which regulates the expression of a broad range of defense-related plant genes. In addition, it is hypothesized that E. necator directly modulates gene expression in V. vinifera via the haustorial complex. This microarray experiment was designed to dissect host transcriptome changes triggered directly by E. necator infection and indirectly through the SA response. We accomplished this by conducting two separate global leaf transcriptome analyses using the Vitis Affymetrix GeneChip platform: in one, we compared the leaves with fully established PM colonies to healthy reference leaves, in another, we compared healthy leaves with artificially elevated SA levels to healthy reference leaves. Overlaying host transcriptome changes from these two experiments enabled us to glean out V. vinifera genes that modulate their expression in response E. necator in an SA-independent manner. We characterized gene expression profiles in (1) healthy reference leaves, (2) leaves with well-established by E. necator colonies, and (3) healthy leaves in which SA levels were artificially elevated by the presence of methyl salicylate (15 µM) in the atmosphere. Treatments (1) and (2) differed only in the presence E. necator infection, whereas treatments (1) and (3) differed only in SA levels. Consequently, statistical comparisons were made only between signal intensities from treatments (1) and (2) and from treatments (1) and (3). Each treatment was done in three biological repeats, that is, each experiment was repeated three times in 14-day intervals with dedicated biological material (plants were used in a single replicate and not reused in another repeat or treatment). Each biological replicate consisted of 10 potted vines. For RNA extraction, two young leaves were harvested from each of the 10 vines and pooled into a single sample.

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 Â°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.

Dataset Information

Transcription profiling of V. vinifera Cabernet sauvignon and V. aestivalis Norton innoculated with Erysiphe necator conidiospores

Publications

Powdery mildew induces defense-oriented reprogramming of the transcriptome in a susceptible but not in a resistant grapevine.

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