Project description:A High Density Rice Array (HDRA) was developed as an Affymetrix Custom GeneChip Array by the McCouch Rice Lab at Cornell University. The HDRA assays 700,000 SNPs, or approximately one SNP every 0.54 Kb across the rice genome (genome size = 380 Mb). It was designed to capture most of the haplotype variation observed in a discovery panel consisting of 16M SNPs (generated by sequencing 125 rice genomes at ~7X genome coverage) and to maximize the inclusion of non-synonymous SNPs. Six probes per SNP target were designed as 3 A-allele and 3 B-allele probes at offsets from center ranging from -6 to +6. A small fraction of SNPs have only 4 probes (2-A, 2-B). For all SNPs, the “A” allele is the reference allele (Os-Nipponbare-Reference-IRGSP-1.0 assembly). Additionally, we designed 23,656 x 25-bp probes complimentary to invariant regions of the genome that were used to normalize systematic differences between samples. An estimated 45% of HDRA SNPs map within genes, hitting all 39,045 unique, non-TE rice gene models (MSUv7 rice genome annotation, GFF3 file, Feb. 7, 2012, http://rice.plantbiology.msu.edu/), while 55% of SNPs map to intergenic regions. Non-synonymous are found in 91% of unique, non-TE gene models, and 57% of genic SNPs are distributed within exons, 36% within introns, 5% within 5’ UTRs and 2% within 3’ UTRs. Of the intergenic SNPs, 40% are located in putative regulatory regions within 2 Kb of a transcriptional start site.
Project description:In this study, we aim to present a global view of transcriptome dynamics in different rice cultivars (IR64, Nagina 22 and Pokkali) under control and stress conditions. More than 50 million high quality reads were obtained for each tissue sample using Illumina platform. Reference-based assembly was performed for each rice cultivar. The transcriptome dynamics was studied by differential gene expression analyses between stress treatment and control sample. We collected seedlings of three rice cultivars subjected to control (kept in water), desiccation (transferred on folds of tissue paper) and salinity (transferred to beaker containing 200 mM NaCl solution) treatments. Total RNA isolated from these tissue samples was subjected to Illumina sequencing. The sequence data was further filtered using NGS QC Toolkit to obtain high-quality reads. The filtered reads were mapped to Japonica reference genome using Tophat software. Cufflinks was used for reference-based assembly and differential gene expression was studied using cuffdiff software. The differentially expressed genes during various abiotic stress conditions were identified.
Project description:This project characterizes the apoplast proteome of Ryegrass (Lollium perenne) under treatment with different epiphyte strains (Epichloe festucae).
