Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Transcriptome profiling of Pythium graminicola-inoculated rice roots.

ABSTRACT: Contrary to the relative wealth of information regarding pathogen defense responses in aboveground plant parts, little is known about the mechanistic basis and regulation of plant immunity in root tissues. Aiming to further our fundamental understanding of root immune responses, we have investigated the interaction between rice and one of its major root pathogens, the oomycete Pythium graminicola. The specificic objectives of this study were twofold: i) to disentangle the molecular and genetic basis of the rice-Pythium interaction by comparing the transcriptome of rice roots at different times after inoculation with a highly virulent Pythium strains, and ii) to offer fundamental insights into the genetic architecture and regulation of rice disease resistance pathways operative in root tissue and to identify the molecular players controlling the possible nodes of convergence between these resistance conduits Comparison between P. graminicola- and mock-infected rice roots. Two treatments (infected and non-infected) x three timepoints (1, 2 and 4 days post inoculation) x three biological replicates

ORGANISM(S): Oryza sativa Japonica Group

SUBMITTER: David De Vleesschauwer

PROVIDER: E-GEOD-32582 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Similar Datasets

Project description:Rare sugars are monosaccharides that are rarely present in nature. One of the rare sugars, D-allose had a negative effect on shoot growth of rice. This negative effect to rice growth was not observed in other tested rare sugars. To clarify the response to the D-allose in rice at gene expression level, we performed a microarray analysis using the Agilent Rice Oligo Microarray (44k, custom-made; Agilent Technologies, Redwood City, CA, USA). As a result, treatment of D-allose caused high induction of many defense-related genes including pathogenesis-related (PR) genes in rice. An Agilent Rice Oligo Microarray (44k, custom-made; Agilent Technologies, Redwood City, CA, USA) was used for the microarray analysis. By using RNeasy plant mini kit (Qiagen, Hilden, Germany), total RNA was extracted from shoots of two-leaf stage rice plants that had been treated with 0.5 mM D-allose, 0.5 mM D-glucose, or no sugar for 2 days. For each biological replicate, material from at least five rice plants was pooled to provide a single sample for RNA extraction. We performed 3 biological replicates for each treatment. All microarray procedures and data analyses were performed according to the manufacturer’s instructions. RNA integrity was checked using an Agilent 2100 Bioanalyzer (Agilent Technologies, Redwood City, CA, USA). Total RNA (400 ng) was labeled with Cy-3 or Cy-5 using an Agilent Low RNA Input Fluorescent Linear Amplification Kit (Agilent Technologies). Fluorescently labeled targets were hybridized to Agilent Rice Oligo Microarrays for 17 h at 65°C. After hybridization, following wash processes were performed according to the manufacturer’s instructions, and hybridized microarrays were scanned using an Agilent Microarray Scanner (G2505B and software G2565BA; Agilent Technologies). Feature extraction software (version 9.1; Agilent Technologies) was used to delineate and measure the signal intensity of each spot in the array, and to normalize intensities. The background was measured around each spot as local background, calculated by the Feature Extraction software. Statistical data extraction processes were performed according to the manufacturer’s instructions.

Dataset Information

Transcriptome profiling of Pythium graminicola-inoculated rice roots.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets