Project description:The aim of this study was to identify candidate genes responsible for grain number per panicle between a pair of rice varieties (Pusa 1266 and Pusa Basmati 1) by combining QTL analysis with expression analysis. Microarray analysis of RNA extracted from the panicle primordia showed 2741 differentially expressed genes. The differentially expressed genes were shortened to 18 on the basis of their occurance in the QTL region (responsible for grain number regulation) detected in RIL population derived from Pusa 1266 and Pusa Basmati 1. RNA from the stage '0' panicle primordia of Pusa 1266 and Pusa Basmati 1 were analysed in two different biological replications (A and B) making total four samples
Project description:Whole genome transcriptome profiling of bulked RILs with high and low grain number per panicle derived from 2 cultivars at panicle primordia stage The aim of this study was to identify candidate genes responsible for grain number per panicle by combining QTLs analysis with expression analysis. Microarray analysis of RNA extracted from the panicle primordia showed 20 differentially expressed genes, respectively. The differentially expressed genes were shorted to 4 on the basis of their occurance in the QTL region (responcible for grain number regulation) detected in RIL population derived from Pusa 1266 and Pusa Basmati 1.
Project description:Whole genome transcriptome profiling of bulked RILs with high and low grain number per panicle derived from 2 cultivars at panicle primordia stage The aim of this study was to identify candidate genes responsible for grain number per panicle by combining QTLs analysis with expression analysis. Microarray analysis of RNA extracted from the panicle primordia showed 20 differentially expressed genes, respectively. The differentially expressed genes were shorted to 4 on the basis of their occurance in the QTL region (responcible for grain number regulation) detected in RIL population derived from Pusa 1266 and Pusa Basmati 1. RNA from the stage '0' panicle primordia of 10 RILs with high grain number and 10 with low grain number were bulked and analysed in two different biological replications (A and B) making total four samples
Project description:The aim of this study was to identify candidate genes responsible for grain number per panicle between a pair of rice varieties (Pusa 1266 and Pusa Basmati 1) by combining QTL analysis with expression analysis. Microarray analysis of RNA extracted from the panicle primordia showed 2741 differentially expressed genes. The differentially expressed genes were shortened to 18 on the basis of their occurance in the QTL region (responsible for grain number regulation) detected in RIL population derived from Pusa 1266 and Pusa Basmati 1.
Project description:Purpose: The goal of the study is to compare the transcriptomic differences of the panicle tissue at the reproductive-stage of the Introgression Line (IR 96321-1447-165-B-3-1-2), which is drought-tolerant, to Swarna (recipient parent), which is drought-sensitive.
Project description:To investigate how OsGATA6 regulates heading date, grain number per panicle, and grain phenotypes, we collected panicle primordia of ZH11 and OsGATA6-AM lines at the In2 and In3 stages. We analyzed gene expression using a rice expression profiling chip. Compared with ZH11, OsGATA6-AM lines had 818 up-regulated genes and 284 down-regulated genes
Project description:This experiment was designed to identify transcribed regions of japonica subspecies of the rice genome. A series of high-density oligonucleotide tiling arrays that represent sense and antisense strands of the entire nonrepetitive sequence of all the 12 chromosomes were designed to measure genome-wide transcription. A total of 12253842 36mer oligonucleotide probes positioned every 46 nt on average were used for this purpose. The probes were synthesized via maskless photolithography at a feature density of approximately 389,000 probes per slide. The arrays were hybridized with fluorescence-labeled cDNA reverse-transcribed from equal amounts of four selected poly(A)+ RNA population (seedling root, seedling shoot, panicle, and suspension cultured cells). Keywords: tiling array, genome-wide transcription
Project description:We report the application of small RNA sequencing (Illumina) technology for the identification of miRNA from panical and flag leaf tissues of pusa basmati rice cultivar grown under normal and heat stress conditions. We used this data to predict and identify known and novel miRNAs.
