Plant microbiome
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1083792 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:The cell wall is among the first plant structures encountered by necrotrophic fungal pathogens, such as Botrytis cinerea. The composition of plant cell walls varies depending on the species, type of cell or tissue, and stage of development. Cell walls are important reservoirs of energy-rich sugars for pathogens, but also are barriers that impair colonization of host tissues. Growing fungal hyphae secrete enzymes that hydrolyze cell wall polysaccharides. Degradation of wall polysaccharides provides nutrients for the pathogen and improves the access of secreted Botrytis enzymes to all host cell wall targets and cytoplasmic constituents. Destruction of host cell walls results in tissue maceration, a hallmark of diseases caused by Botrytis. The Botrytis genome encodes 1,155 predicted carbohydrate-active enzyme (CAZy) genes; products of 275 are potentially secreted. Transcriptome sequencing identified Botrytis CAZy genes expressed during infections of lettuce leaves, ripe tomato fruit and grape berries. On all three hosts, Botrytis expresses a common group of 229 predicted CAZy genes including 28 pectin-modifying enzymes, 21 hemicellulose-modifying proteins, 18 enzymes targeting pectin and hemicellulose side-branches, and 16 enzymes that may degrade cellulose. Pectin polysaccharides are abundant in grape and tomato cell walls, but lettuce leaf walls are predominantly hemicelluloses and cellulose. These results suggest that Botrytis targets similar wall polysaccharide networks; e.g., pectins, on leaves and fruit, but also attacks unique host wall polysaccharide substrates The diversity of the Botrytis CAZy proteins may be partly responsible for its wide host range. 4 biological replicates consisting of groups of infected berries from different plants
2014-09-24 | E-GEOD-57587 | biostudies-arrayexpress
Project description:Transcriptional profiling comparing control berries (sampled at Traditional harvest, TH) with berries sampled after the application of different post-harvest techniques (late-harvest LH; double reasoned maturation-A, DMR-A; double reasoned maturation-B, DMR-B) Comparison of Grape berries subjected to three different post-harvest techniques (LH, DMR-A, DMR-B) versus Grape berries sampled at traditional harvest (TH). Comparisons were as follows: LH berries versus TH berries (2 biological replicates), DMR-A berries versus TH berries (2 biological replicates, only one dye-swapped), DMR-B berries versus TH berries (2 biological replicates, only one dye-swapped).
2013-09-01 | E-GEOD-43385 | biostudies-arrayexpress
Project description:Grapevine is a popular fruit crop worldwide with essential economic importance. The grape berry undergoes complex biochemical changes from fruit set until ripening. To better understand this dynamic process, we applied mass spectrometry based platforms to analysis the metabolome and proteome of grape berries at 12 developmental stages covering the whole developmental process of grape berries. Primary metabolites involved in central carbon metabolism such as sugars, organic acids and amino acids metabolism together with various bioactive secondary metabolites like flavonols, flavan-3-ols and anthocyanins were annotated and quantified. At the same time, the proteomic analysis revealed the protein dynamics of the developing grape berries. Multivariate statistical analysis of the metabolomic and proteomic data revealed growing trajectories with minor difference indicating that grape berry development is a sequential process resulting in changes in all examined processes. The incorporation of the metabolomic and proteomic results allowed us to schematize representative metabolome and proteome candidates on sugar, glycolysis, TCA cycle, amino acid, phenylpropanoid, flavonoid biosynthetic pathways. The overview of the metabolism dynamics on both protein and metabolite level unveiled the metabolism switch and adjustments during grape berry development.
2018-10-18 | PXD003769 | Pride
Project description:We used Affymetrix microarray analyses of thirty-two individual Vitis vinifera cv. Cabernet Sauvignon berries sampled from two clusters at fifty-percent ripening initiation. By delineating four developmental stages of ripening initiation, we demonstrate that color is a statistically significant indicator of transcriptional state during ripening initiation. We report on clustered gene expression patterns which were mined for genes annotated with signal transduction functions in order to advance regulatory network modeling of ripening initiation in grape berries. We also demonstrated that gene expression does not differ statistically significantly at a global level in berries sampled from different plants or different positions in a cluster. Experiment Overall Design: Individual grape berries were selected at 4 developmental stages along ripening initiation for RNA extraction and hybridization to Affymetrix Vitis Genome GeneChips. One goal of this study was to determine the association between the global transcriptome state and phenotypic variables frequently used in berry staging such as color and firmness, so we defined the four time-points (development series) by color/firmness combinations: green hard (GH), green soft (GS), pink soft (PS) and red soft (RS). Individual berries representing each stage were collected from either the distal or the proximal position of one cluster one each of two plants used for experiments.
2008-10-20 | E-GEOD-11406 | biostudies-arrayexpress
Project description:MicroRNAs (miRNAs) play a important part in post-transcriptional gene regulation and have been shown to control many genes involved in various biological and metabolic processes. There have been extensive studies to discover miRNAs and analyze their functions in model plant species, such as Arabidopsis and rice and other plants. However, the number of miRNAs discovered in grape is relatively low and little is known about miRNAs responded gibberellin during fruit germination. In this study, a small RNA library from gibberellin grape fruits was sequenced by the high throughput sequencing technology. A total of 16,033,273 reads were obtained. 812,099 total reads representing 1726 unique sRNAs matched to known grape miRNAs. Further analysis confirmed a total of 149 conserved grapevine miRNA (Vv-miRNA) belonging to 27 Vv-miRNA families were validated, and 74 novel potential grapevine-specific miRNAs and 23 corresponding novel miRNAs* were discovered. Twenty-seven (36.5%) of the novel miRNAs exhibited differential QRT-PCR expression profiles in different development gibberellin-treated grapevine berries that could further confirm their existence in grapevine. QRT-PCR analysis on transcript abundance of 27 conserved miRNA family and the new candidate miRNAs revealed that most of them were differentially regulated by the gibberellin, with most conserved miRNA family and 26 miRNAs being specifically induced by gibberellin exposure. All novel sequences had not been earlier described in other plant species. In addition, 117 target genes for 29 novel miRNAs were successfully predicted. Our results indicated that miRNA-mediated gene expression regulation is present in gibberellin-treated grape berries. This study led to the confirmation of 101 known miRNAs and the discovery of 74 novel miRNAs in grapevine. Identification of miRNAs resulted in significant enrichment of the gibberellin of grapevine miRNAs and provided insights into miRNA regulation of genes expressed in grape berries. GSM604831 is the control for the gibberellin-treated sample. The mixture samples of young berries (one week after flowering) large berries (five week after flowering after flowering), and old berries (nine week after flowering) treated with gibberellin, respectively, were generated by deep sequencing, in triplicate, using Illumina 1G Genome Analyzer.
2013-10-05 | E-GEOD-39734 | biostudies-arrayexpress
Project description:Global studies of microbial diversity
| PRJNA1008400 | ENA
Project description:MicroRNAs (miRNAs) play a important part in post-transcriptional gene regulation and have been shown to control many genes involved in various biological and metabolic processes. There have been extensive studies to discover miRNAs and analyze their functions in model plant species, such as Arabidopsis and rice and other plants. However, the number of miRNAs discovered in grape is relatively low and little is known about miRNAs responded gibberellin during fruit germination. In this study, a small RNA library from gibberellin grape fruits was sequenced by the high throughput sequencing technology. A total of 16,033,273 reads were obtained. 812,099 total reads representing 1726 unique sRNAs matched to known grape miRNAs. Further analysis confirmed a total of 149 conserved grapevine miRNA (Vv-miRNA) belonging to 27 Vv-miRNA families were validated, and 74 novel potential grapevine-specific miRNAs and 23 corresponding novel miRNAs* were discovered. Twenty-seven (36.5%) of the novel miRNAs exhibited differential QRT-PCR expression profiles in different development gibberellin-treated grapevine berries that could further confirm their existence in grapevine. QRT-PCR analysis on transcript abundance of 27 conserved miRNA family and the new candidate miRNAs revealed that most of them were differentially regulated by the gibberellin, with most conserved miRNA family and 26 miRNAs being specifically induced by gibberellin exposure. All novel sequences had not been earlier described in other plant species. In addition, 117 target genes for 29 novel miRNAs were successfully predicted. Our results indicated that miRNA-mediated gene expression regulation is present in gibberellin-treated grape berries. This study led to the confirmation of 101 known miRNAs and the discovery of 74 novel miRNAs in grapevine. Identification of miRNAs resulted in significant enrichment of the gibberellin of grapevine miRNAs and provided insights into miRNA regulation of genes expressed in grape berries. GSM604831 is the control for the gibberellin-treated sample.
2013-10-05 | GSE39734 | GEO