Oryza sativa Indica Group
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ABSTRACT:
PROVIDER: PRJNA119763 | ENA |
REPOSITORIES: ENA
Similar Datasets
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
2009-12-31 | E-GEOD-17169 | biostudies-arrayexpress
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.
2010-01-01 | GSE17169 | GEO
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
2022-06-29 | GSE199873 | GEO
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
2010-04-28 | E-GEOD-15912 | biostudies-arrayexpress
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.
2010-04-20 | GSE15912 | GEO
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.
2013-05-04 | GSE46616 | GEO
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
2013-05-04 | E-GEOD-46616 | biostudies-arrayexpress
Project description:Rice (Oryza sativa L.) is the main staple food for nearly half of the world’s population. Cereals, especially rice is deficient in micronutrients such as Fe. However, rice genotypes differ in grain Fe concentration (Panda B, et.al. Am J Plant Sci. 2014;5:2829-41. doi: 10.4236/ajps.2014.518299). The present study is focused on identification of gene(s) involved in Fe accumulation in developing rice grain through high throughput RNA-seq technology and to understand the basis of differential Fe accumulation in developing rice grain. Two cultivars of rice viz. Sharbati (high Fe) and Lalat (low Fe) differing in grain iron concentration were used in the study. Root and grain transcriptome sequences of these two cultivars (at mid-grain filling stage) were generated using RNA-Seq (Illumina Hiseq 2000 platform). For each genotype, on an average 9.7 and 7 Gb data was generated for grain and root samples, respectively. The short reads were aligned against the Nipponbare reference genome (IRGSP build 5.0), thereby successfully mapping 95% and 67% of the reads from grain and root samples, respectively. Genes known to be involved in Fe metabolism were analyzed for expression. Among the genes coding for phytosiderophore synthesizing enzymes, OsNAS1 and OsNAAT2 showed higher expression in the grains of Sharbati while OsDMAS1 had higher expression in its root. Of the 18 yellow-stripe like (YSL) genes in rice, only 11 were found to be expressed in the two cultivars. Out of these, 2 (OsYSL2 and OsYSL 8) were up-regulated in the grains of Sharbati highlighting their importance in the uptake of Fe from soil and its accumulation in the developing grain. Two other genes (OsFRO1 and OsIRT1) known to be involved in Fe uptake by the root were also found to be highly expressed in the root of Sharbati. Our findings suggest that higher grain iron concentration of cv. Sharbati might be due to higher expression of key Fe transporters (viz. OsYSL2, OsYSL8 and OsITR1) and root membrane bound OsFRO1, which give an advantage in terms of absorption, transport and assimilation of Fe by this cultivar as compared to the low iron containing cultivar, Lalat.
2016-12-31 | GSE70093 | GEO
Project description:Based our serial analysis of gene expression (SAGE) data from an elite Chinese super-hybrid rice (LYP9) and its parental cultivars (93-11 and PA64s) in three major tissue types at three different developmental stages, we obtained a much more comprehensive view of genes that related to rice heterosis and analyzed the potential effects of gene-expression difference on the heterosis of rice.These heterotic expression genes among different genotypes provided new avenues for exploring the molecular mechanisms underlying heterosis, including variable gene expression patterns. Keywords: Heterosis study by SAGE We constructed nine SAGE libraries parallelly, including root at the first tillering stage, leaf at the milky stage of rice grain maturation, and panicle at the pollen-maturing stage of hybrid rice (LYP9) and its paternal lines (9311, PA64s).
2007-06-07 | E-GEOD-8048 | biostudies-arrayexpress
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.
2022-02-19 | GSE126759 | GEO