Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Oryza sativa isolate:HHZ | cultivar:Huanghuazhan

ABSTRACT: Oryza sativa isolate:HHZ | cultivar:Huanghuazhan Genome sequencing

PROVIDER: PRJNA283022 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR2029574_1.fastq.gz	Fastqsanger.gz
	SRR2029574_2.fastq.gz	Fastqsanger.gz
	SRR2032335_1.fastq.gz	Fastqsanger.gz
	SRR2032335_2.fastq.gz	Fastqsanger.gz
	SRR2040560_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 30

Similar Datasets

Oryza sativa cultivar:Huanghuazhan(HHZ)

Project description:Oryza sativa cultivar:Huanghuazhan(HHZ) Raw sequence reads

| PRJNA513444 | ENA

Oryza sativa cultivar:Huanghuazhan

Project description:Oryza sativa cultivar:Huanghuazhan

| PRJNA318302 | ENA

Oryza sativa cultivar:Huanghuazhan

Project description:Oryza sativa cultivar:Huanghuazhan Genome sequencing

| PRJNA271838 | ENA

Morphological and physiological factors contributing to stronger early vigor in the elite rice cultivar 9311 compared to Huanghuazhan (HHZ)

Project description:Huanghuazhan (HHZ) and 9311 are two elite rice cultivars in China. They have achieved high yield through quite different mechanisms. One of the major features that gives high yield capacity to 9311 is its strong early vigor, i.e., faster establishment of its seedling as well as its better growth in its early stages. To understand the mechanistic basis of early vigor in 9311, as compared to HHZ the cultivar, we have examined, under controlled environmental conditions, different morphological and physiological traits that may contribute to its early vigor. Our results show that the fresh weight of the seeds, at germination, not only determined the seedling biomass at 10 days after germination (DAG), but was also responsible for ~ 80% of variations in plant biomass between the two cultivars even up to 30 DAG. Furthermore, the 9311 cultivar had a larger root system, which led to its higher nitrogen uptake capacity. Other noteworthy observations about 9311 being a better cultivar than HHZ are : (i) Ten out of 15 genes involved in nitrogen metabolism were much more highly expressed in its roots; (ii) it had a higher water uptake rate, promoting better root-to-shoot nitrogen transfer; and (iii) consistent with the above, it had higher leaf photosynthetic rate and stomatal conductance. All of the above identified features explain, to a large extent, why the 9311, as compared to HHZ, exhibits much more vigorous early growth.

2020-10-02 | GSE148299 | GEO

Oryza sativa strain:HHZ

Project description:Oryza sativa strain:HHZ Genome sequencing

| PRJNA203107 | ENA

Oryza sativa Japonica cultivar:Kitaake Transcriptome or Gene expression

Project description:RNA-seq of Oryza sativa Japonica cultivar Kitaake

2015-02-11 | E-MTAB-4326 | biostudies-arrayexpress

Dynamic Profiles of transcriptome in Oryza sativa leaf

Project description:To evaluate the roles of gene regulation in Oryza sativa leaf, dynamic profiles of transcriptome were investigated in Oryza sativa L. spp. indica with different treatments, the aerial tissues of one-month-old plants from four different areas (groups 1–4) were treated with 0, 40 mL of 25% azoxystrobin, 0.01 g of VdAL, or 40 mL of 25% azoxystrobin plus 0.01 g VdAL, respectively.

2018-12-18 | GSE108204 | GEO

Expression data from Oryza sativa 3037 (wild-type) and sd37 (mutant) seedlings

Project description:We characterized a rice (Oryza sativa L ssp. indica cultivar 3037) semi-dwarf mutant sd37, in which CYP96B4 gene (Cytochrome P450 96B subfamily) was identified as the target gene by map-based cloning and complementation test. A point mutation in CYP96B4 leads to a substitution of Thr to Lys in the SRS2 region. The sd37 leaves, panicles and seeds are all smaller compared with those of wild-type, and histological analysis showed that the decreased cell number was the main reason for the dwarf phenotype. We used microarrays to detail the global programme of gene expression underlying cellularisation and identified distinct classes of up- and down- regulated genes during this process.

2013-07-09 | GSE48593 | GEO

Screening Salinity Tolerance and Transcriptome Analysis in Rice (Oryza sativa L.)

Project description:Comparative transcriptome sequencing in leaf and root tissues of Control and Salt-treated Oryza sativa generated 52.2 and 17.29 million high-quality reads.

2019-06-05 | GSE132153 | GEO

Degradome sequencing reveals endogenous small RNA targets in rice (Oryza sativa L. ssp. indica)

Project description:MicroRNAs (miRNAs) and small interfering RNAs (siRNAs) regulate gene expression in eukaryotes. Plant miRNAs modulate their targets mainly via messenger RNA (mRNA) cleavage. Small RNA targets have been extensively investigated in Arabidopsis using computational prediction, experimental validation, and degradome sequencing. However, small RNA targets are largely unknown in rice (Oryza sativa). Here, we report global identification of small RNA targets using high throughput degradome sequencing in the rice indica cultivar 93-11 (Oryza sativa L. ssp. indica). 177 transcripts targeted by total of 87 unique miRNAs were identified. Of targets for the conserved miRNAs between Arabidopsis and rice, transcription factors comprise around 70% (58 in 82), indicating that these miRNAs act as masters of gene regulatory nodes in rice. In contrast, non-conserved miRNAs targeted diverse genes which provide more complex regulatory networks. In addition, 5 AUXIN RESPONSE FACTORS (ARF) cleaved by the TAS3 derived ta-siRNAs were also detected. A total of 40 sRNA targets were further validated via RNA ligase-mediated 5’ rapid amplification of cDNA ends (RLM 5’-RACE). Our degradome results present a detailed sRNA-target interaction atlas, which provides a guide for the study of the roles of sRNAs and their targets in rice.

2010-01-01 | GSE19050 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data