Project description:An indica rice cultivar IET8585 (Ajaya), resists diverse races of the Xanthomonas oryzae pv oryzae (Xoo) pathogen attack, and is often cultivated as bacterial leaf blight (blb) resistant check in India. Earlier we reported a recessive blb resistance gene mapped to the long arm of chromosome 5 in IET8585. To further understand the mechanism of recessive and durable resistance response, two indica rice genotypes namely, i) IET8585 (Ajaya), a disease resistant indica veriety from India and ii) IR24, a bacterial leaf blight disease susceptible genotype were selected for this study. We used the 22K rice Oligoarray from Agilent technologies to study the transcript profile in the leaves of the two contrasting rice genotypes under inoculated and un-inoculated conditions during seedling stage. Keywords: Bacterial leaf blight disease resistance mechanism
Project description:An indica rice cultivar IET8585 (Ajaya), resists diverse races of the Xanthomonas oryzae pv oryzae (Xoo) pathogen attack, and is often cultivated as bacterial leaf blight (blb) resistant check in India. Earlier we reported a recessive blb resistance gene mapped to the long arm of chromosome 5 in IET8585. To further understand the mechanism of recessive and durable resistance response, two indica rice genotypes namely, i) IET8585 (Ajaya), a disease resistant indica veriety from India and ii) IR24, a bacterial leaf blight disease susceptible genotype were selected for this study. We used the 22K rice Oligoarray from Agilent technologies to study the transcript profile in the leaves of the two contrasting rice genotypes under inoculated and un-inoculated conditions during seedling stage. Experiment Overall Design: We used Agilent rice gene chips (G4138A) to investigate the transcript level changes in rice leaf tissues during bacterial pathogen infection. We used two contrasting rice genotypes (IET8585 (Ajaya) blb resistant IR24 blb susceptible) differing in bacterial disease response. Plants were grown growth chambers and inoculated with bacterial pathogen on 18th DAS. Leaf sampling was done in both un-inoculated and inoculated plants at 3 time points. Two replications of microarray experiments were carried out by hybridizing the resistant samples against the susceptible samples.
Project description:The transcriptomic modulations leading to defense response in rice one hour after inoculation by Xanthomonas oryzae pv oryzae. Xoo and mock inoculated plant of cultivars IET8585 (bacterial leaf blight resistant) and IR-24 (bacterial leaf blight susceptible) were compared.
Project description:Previously, we successfully introduce the bacterial blight resistance trait from Oryza meyeriana into O. sativa using asymmetric somatic hybridization with O. meyeriana as the donor species. After years of breeding, a progeny named Y73 was generated with recurrent parent O. sativa L. ssp. japonica cv. Dalixiang, and it shows high resistance to broad-spectrum of bacterial blight pathogens Xanthomonas oryzae pv. Oryzae (Xoo). However, the resistance mechanism of Y73 is remain undiscovered. To provide insights into the high resistance phenotype of these plants, we examined the transcriptome response in leaves of Y73 to the bacterial blight infection in this study. Xoo inoculated and mock inoculated rice plants were grown in growth room and the global analysis of gene expression events in rice leaves at 24 hours post inoculation (hpi) were analyzed using Affymetrix Rice GeneChip microarrays. We used microarrays to detail the global programme of gene expression underlying Xoo infection in rice Y73.
Project description:Yield loss in crop plants due to biotic stresses is a major problem and pyramiding of R genes is often suggested for sustained and durable resistance against target pests. Information is available for single R gene interaction in rice and other crop plants, but not much data is available for multiple R gene interaction against multiple pathogens/pests. In this study we carried out transcriptional analysis of two rice lines introgressed with either R gene against bacterial blight and gall midge or, against bacterial blight and fungal blast. The gene expression changes were investigated through microarray and the expression pattern upon co-infection with multiple pathogens was analyzed to study the synergistic effect of R gene mediated defense responses as well as to explore the possibility of any antagonism between the R genes as defense pathway employed due to R gene mediated resistance varies as per the attacking pathogen/pest. Keywords: Expression profiling by array
Project description:Yield loss in crop plants due to biotic stresses is a major problem and pyramiding of R genes is often suggested for sustained and durable resistance against target pests. Information is available for single R gene interaction in rice and other crop plants, but not much data is available for multiple R gene interaction against multiple pathogens/pests. In this study we carried out transcriptional analysis of two rice lines introgressed with either R gene against bacterial blight and gall midge or, against bacterial blight and fungal blast. The gene expression changes were investigated through microarray and the expression pattern upon co-infection with multiple pathogens was analyzed to study the synergistic effect of R gene mediated defense responses as well as to explore the possibility of any antagonism between the R genes as defense pathway employed due to R gene mediated resistance variesaccording to the attacking pathogen/pest. Keywords: Expression profiling by array
Project description:Xanthomonas oryzae pv. oryzae (Xoo) causes the bacterial leaf blight of rice, which leads to as much as 50% yield losses. To understand the landscape of virulence mechanisms, we constructed in planta transcriptional profiling of Xoo KACC10331 using RNA-seq. Three in planta transcriptome of Xoo KACC10331 derived from infected rice leafs were compared to three in vitro data from rich media. To obtain differentially expressed genes, we used the DEGseq package with MA-plot-based method in the R statistical environment and identified 2,094 transcripts that were significantly altered.
