DrVicParv
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB80416 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Impatiens parviflora, genomic and transcriptomic data
| PRJEB79803 | ENA
Project description:Vicia sativa (common vetch), genomic and transcriptomic data
| PRJEB73929 | ENA
Project description:Hairy vetch (Vicia villosa Roth) is recognized as a beneficial winter cover crop in the Midwestern U.S. DNA microarrays are used for assessing gene expression significance. The objective of the study was to identify a set of genes expressed in hairy vetch, that could be further analyzed for their potential in improving the crop. The RNA of four targets (soybean (Glycine max), hairy vetch, Vicia pannonica PI 170008, and Vicia pannonica PI 515988) were purified, labeled, and hybridized to 142 cDNA clones of biotic stress genes and gene sequences of soybean that were robotically spotted onto aminosilicated slides with duplicate spots and three arrays per slide. The microarray experiments were completed in a reference design experiment incorporating a two-dye system. The data were analyzed using the individual fluorescence intensities to fit two statistical models in a mixed model analysis of variance. In this analysis, systematic error effects were observed to account for 24% of the total variation. The use of a Bonferroni adjusted significance threshold allowed for adequate control over the number of falsely identified significant genes showing expression in the different target comparisons. We observed that 64 of the 142 gene sequences (45%) were differentially expressed in at least one of the target comparisons. Two of these expressed genes in hairy vetch encoded for a cold tolerance indicator, proline, and two other gene sequences encode for stress tolerance indicators, myo-inositol and calmodulin. A soybean cDNA microarray was used effectively to differentiate gene expression in hairy vetch. Keywords: comparative genomic hybridization (cross-species)
2005-12-01 | GSE3263 | GEO
Project description:Gordius_albopunctatus, genomic and transcriptomic data
| PRJEB78907 | ENA
Project description:Analyses of new genomic, transcriptomic or proteomic data commonly result in trashing many unidentified data escaping the ‘canonical’ DNA-RNA-protein scheme. Testing systematic exchanges of nucleotides over long stretches produces inversed RNA pieces (here named “swinger” RNA) differing from their template DNA. These may explain some trashed data. Here analyses of genomic, transcriptomic and proteomic data of the pathogenic Tropheryma whipplei according to canonical genomic, transcriptomic and translational 'rules' resulted in trashing 58.9% of DNA, 37.7% RNA and about 85% of mass spectra (corresponding to peptides). In the trash, we found numerous DNA/RNA fragments compatible with “swinger” polymerization. Genomic sequences covered by «swinger» DNA and RNA are 3X more frequent than expected by chance and explained 12.4 and 20.8% of the rejected DNA and RNA sequences, respectively. As for peptides, several match with “swinger” RNAs, including some chimera, translated from both regular, and «swinger» transcripts, notably for ribosomal RNAs. Congruence of DNA, RNA and peptides resulting from the same swinging process suggest that systematic nucleotide exchanges increase coding potential, and may add to evolutionary diversification of bacterial populations.
2017-12-18 | PXD006238 | Pride