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: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:In rice (Oryza sativa L.), the number of panicles, spikelets per panicle and grain weight are important components of grain yield. These characteristics are controlled by quantitative trait loci (QTLs) and are derived from variation inherent in crops.The identification of different yield related QTLs facilitates an understanding of the mechanisms involved in cereal crop yield, and may have utility in improving grain yield in cereal crops. an understanding of the mechanisms involved in cereal crop yield, and may have utility in improving grain yield in cereal crops. In the present study, We cloned and characterized a large-panicle QTL, and confirmed that the newly identified gene OsEBS (enhancing biomass and spikelet number) increased plant height, leaf size and spikelet number per panicle, leading to an average of 37.62% increase in total grain yield per plant. trait loci (QTLs) and are derived from variation inherent in crops.
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:In rice (Oryza sativa L.), the number of panicles, spikelets per panicle and grain weight are important components of grain yield. These characteristics are controlled by quantitative trait loci (QTLs) and are derived from variation inherent in crops.The identification of different yield related QTLs facilitates an understanding of the mechanisms involved in cereal crop yield, and may have utility in improving grain yield in cereal crops. an understanding of the mechanisms involved in cereal crop yield, and may have utility in improving grain yield in cereal crops. In the present study, We cloned and characterized a large-panicle QTL, and confirmed that the newly identified gene OsEBS (enhancing biomass and spikelet number) increased plant height, leaf size and spikelet number per panicle, leading to an average of 37.62% increase in total grain yield per plant. trait loci (QTLs) and are derived from variation inherent in crops. OsEBS-transgenic rice B10201 and B10301 and control Guichao2
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. 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:Tiller angle is a key factor determining rice plant architecture, planting density, light interception, photosynthetic efficiency, disease resistance, and grain yield. The distribution of auxin and shoot gravitropism play important roles in regulating tiller angles of rice. Several tiller angle-associated genes have been cloned. However, the mechanisms underlying tiller angle control are far from clear. In this study, we isolate bta1-1, a mutant with an enlarged tiller angle throughout its life cycle. A detailed analysis reveals that BTA1 has multiple functions because several major agronomic traits, including tiller and panicle number, biomass production, secondary branch number per panicle, panicle weight, grain size, and grain weight, are increased in bta1-1 plants. Moreover, BTA1 is a positive regulator of shoot gravitropism in rice. Shoot responses to gravistimulation are disrupted in bta1-1 under both light and dark conditions. Gene cloning reveals that bta1-1 is a novel mutant allele of LA1. LA1 is able to rescue the tiller angle and shoot gravitropism defects observed in bta1-1. BTA1/LA1 is required to regulate the expression of auxin transporters and signaling factors that control shoot gravitropism and tiller angle. High-throughput mRNA sequencing is performed to elucidate the molecular and cellular functions of BTA1/LA1. The results show that BTA1/LA1 may have multiple functions in regulating nucleosome and chromatin assembly, and protein and DNA interactions. Our results provide new insight into the mechanisms whereby BTA1/LA1 controls shoot gravitropism and tiller angle in rice.
Project description:Rice genome contains three genes that encode for glutathione reductase (GR) viz., OsGR1, 2 and 3. GR is an important component of the anti-oxidative machinery of plant cells. GR2 down-regulated plants were produced by RNAi mediated down-regulation of GR2 (GR2-Ri). GR2-Ri plants were significantly smaller and have significantly lower grain yield (grain number per panicle) compared to WT(Wild type), under control conditions. RNA-Seq analysis of panicles (differentiation stage) identified genes known to affect grain size to be differentially regulated in GR2-Ri compared to WT, respectively, under control conditions.
Project description:Two types of small (18-24 nt) non-coding RNAs (ncRNAs), microRNAs (miRNAs) and small interfering RNAs (siRNAs) have been found to exist widely in higher plants. OsDCL3b has just been reported to process the 24-nt phased small RNAs in rice, which are preferentially expressed in panicle. In this study, we find that down-regulated expression of OsDCL3b leads to lower pollen sterility and seed setting rate, which results in decreased grain yield per plant in rice. Next, small RNA and mRNA sequencing were performed to study the decrease of pollen fertility and seed setting rate. 942 differentially expressed genes were identified, and some of them have already been known to be involved in rice panicle development. Our results indicate that there is a close correlation between small RNA and rice yield.