Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Soil metagenome

ABSTRACT: Integrated rice based farming system for enhancing climate resilient and profitability in eastern India.

PROVIDER: PRJNA475025 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR7276103_1.fastq.gz	Fastqsanger.gz
	SRR7276103_2.fastq.gz	Fastqsanger.gz
	SRR7276104_1.fastq.gz	Fastqsanger.gz
	SRR7276104_2.fastq.gz	Fastqsanger.gz
	SRR7276105_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 12

Similar Datasets

soil metagenome

Project description:Nitrogen used efficiency in Integrated rice-based farming system for enhancing climate resilient and profitability in eastern India.

| PRJNA531347 | ENA

Project description:Integrated rice-yellow catfish farming

| PRJNA1056777 | ENA

RNA Seq analysis of tolerant (BPT5204) and susceptible (TN1) variety of Oryza sativa cv. Indica under drought, pathogen, and combined stress

Project description:Climate change is affecting the unprecedented drought scenario and frequent occurrence of pathogen infection in rice. Simultaneous occurrence of these stresses could lead to more crop loss. Transcription response of genes involved in combined stress would provide relevant candidate gene to develop climate resilient rice. We report individual drought, Xoo infection and combined stress on rice. RNA Seq of contrasting genotypes BPT5204 and TN1 has revealed many candidate genes. A meta-analysis further filtered out some candidate genes which could be used for breeding programme. Several genes identified were already characterized by other groups for individual stress condition. However the genes involved in drought and pathogen infection could be further used for genetic manipulation studies in future.

2022-06-16 | GSE197133 | GEO

soil metagenome

Project description:Enhancing nutrient use efficiency and productivity in rice based system

| PRJNA393493 | ENA

Project description:Bacterial community in paddy soil of integrated rice-giant river prawn farming system

| PRJNA1116116 | ENA

Identifying putative key metabolites from fingerprinting metabolomics for the authentication of rice origin: A case study of Sengcu rice

Project description:The expanding scale and nature of rice fraud in the global food system has caused major economic and human health concerns. Herein, an untargeted metabolomics approach based on the UHPLC-Q-Orbitrap-HRMS system was utilized for the discrimination between authentic and commercial Sengcu rice, a local specialty cultivated by terraced farming in northern Vietnam. A total of 8398 positive and 5250 negative mode compounds were introduced to multivariate statistical analyses for the construction of classification models. The first two principal components explaining 52% of the total variance in both datasets exhibited distinguished clusters of authentic against commercial Sengcu rice. Partial least squares-discriminant analysis models were optimized to obtain the optimal number of retained components, the optimal number of variables retained in each component and the best prediction distance type for model evaluation. One component containing five positive (DMG, RSA, RCA, PAL and BOSe) and six negative mode variables (PXP, RXP, TDHP, ISS, MXP and RGB) was sufficient to discriminate between authentic and commercial Sengcu rice. The classification error rate was less than 1.1310-4, as determined from repeated k-fold cross validation. These putative signature metabolites clearly separated authentic and commercial Sengcu rice in the hierarchical clustering models. In addition, the isolated metabolites also reflected the cultivation practices of terraced farming of authentic Sengcu rice. Overall, we have proposed an effective method for the identification of key metabolites from fingerprinting metabolomics, and it could serve as a fundamental approach for other in-depth food authentication studies.

2022-05-08 | ST002169 | MetabolomicsWorkbench

Custom array CGH of Oral Squamous Cell Cancer

Project description:Over last decade several studies on oral cancer patients from eastern India have identified alterations in copy numbers in many regions of the chromosome such as 3p21.3, 8q24.21, 9p21, 9p22, 11q13, 11q21-24. However, all these studies employed microsatellite markers to map these CNV regions. This resulted in large map intervals (10-12 megabases) between the adjacent markers studied. As these regions contain a large number of genes, a high resolution CNV map of these regions was necessary to precisely identify novel genes affected by the amplifications and deletions. We thus used custom made Agilent 4X44K oligonucleotide array CGH platform to map the identified CNV regions in a resolution of 3 Kb in oral cancer patients from eastern India.

2015-02-28 | GSE54165 | GEO

Project description:Integrated rice-crayfish farming with different stocking densities

| PRJNA1091544 | ENA

Proteomic analysis of Daboia russelli venom samples from Burdwan and Nadia districts of West Bengal, eastern India

Project description:Russell’s viper (Daboia russelii) (RV), a category I medically important snake as well as a member of the “Big Four”, is responsible for a heavy toll of snake bite mortality and morbidity in Indian sub-continent. Epidemiological studies suggest highest incidence of RV envenomation in eastern India (EI). In this study the RV venom proteomes from Burdwan and Nadia, the two districts of West Bengal, eastern India was deciphered for the first time using tandem mass spectrometry analysis.

2018-07-16 | PXD008607 | Pride

Custom array CGH of Oral Squamous Cell Cancer

2015-02-28 | E-GEOD-54165 | biostudies-arrayexpress