Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1304948 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Purpose: Investigate genes associated with Phn7.1, a major QTL influencing partial resistance to the soil-borne pathogen Phytophthora nicotianae in tobacco. Methods: Resistant and susceptible tobacco near isogenic lines with and without Phn7.1 QTL were subjected to the inoculation with Phytophthora nicotianae suspension and suspension buffer without pathogen as control followed by sample collection at 42 hour past inoculation for RNA-seq analysis. Results: Revealed gene expression profiles associated disease resistance and susceptiblilty.
2021-09-14 | GSE168854 | GEO
Project description:In order to get insights into the ability of ectomycorrhizal fungi to perceive their biotic environment as well as into the mechanisms of the interactions between ectomycorrhizal fungi and soil bacteria, we analysed the transcriptomic response of the ectomycorrhizal fungus L. bicolor and of two beneficial, and neutral soil bacteria during their interactions in vitro.
2014-06-12 | GSE53608 | GEO
Project description:Spirosoma montaniterrae DY10T is an uncharacterized radiation-resistanct bacteria isolated from soil in South Korea. In order to identify the underlying mechanisms involved in UVC-resistance, we generated time-series transcriptome data with UVC radiation and analyzed data with computational methods.
2023-01-31 | GSE223604 | GEO
Project description:Some soil bacteria promote plant growth, including Pseudomonas species. With this approach we detected significant changes in Arabidopsis genes related to primary metabolism that were induced by the bacteria.
2010-10-07 | GSE24552 | GEO
Project description:For decades the tobacco plant has served as a model organism in plant biology to answer fundamental biological questions in the areas of plant development, physiology, and genetics. Due to the lack of sufficient coverage of genomic sequences, however, none of the expressed sequence tag (EST)-based chips developed to date cover gene expression from the whole genome. The availability of Tobacco Genome Initiative (TGI) sequences provides a useful resource to build a whole genome exon array, even if the assembled sequences are highly fragmented. Here, the design of a Tobacco Exon Array is reported and an application to improve the understanding of genes regulated by cadmium (Cd) in tobacco is described. From the analysis and annotation of the 1,271,256 Nicotiana tabacum fasta and quality files from methyl filtered genomic survey sequences (GSS) obtained from the TGI and ~56,000 ESTs available in public databases, an exon array with 272,342 probesets was designed (four probes per exon) and tested on two selected tobacco varieties. Two tobacco varieties out of 45 accumulating low and high cadmium in leaf were identified based on the GGE biplot analysis, which is analysis of the genotype main effect (G) plus analysis of the genotype by environment interaction (GE) of eight field trials (four fields over two years) showing reproducibility across the trials. The selected varieties were grown under greenhouse conditions in two different soils and subjected to exon array analyses using root and leaf tissue to understand the genetic make-up of the Cd accumulation. An Affymetrix Exon Array was developed to cover a large (~90%) proportion of the tobacco gene space. The Tobacco Exon Array will be available for research use through the Affymetrix array catalogue. As a proof of the exon array usability, we have demonstrated that the Tobacco Exon Array is a valuable tool for studying Cd accumulation in tobacco leaves. Data from field and greenhouse experiments supported by gene expression studies strongly suggested that the difference in leaf Cd accumulation between the two specific tobacco cultivars is dependent solely on genetic factors and genetic variability rather than on the environment. 22 samples were used with 3 different experimental factors: [1] 2 different tissues (leaves and roots/lateral), [2] 2 different mutations (V5 and V21), and [3] 2 different stimuli (Soil 1 and Soil 2). 2-3 biological replicates were used. One sample did not pass QC and is not included in this submission.
2012-11-16 | E-GEOD-42319 | biostudies-arrayexpress
Project description:Transcriptional profiling of methanotrophic bacteria (pmoA gene) in methane oxidation biocover soil by depth
2013-09-28 | GSE51235 | GEO