Soil metagenome
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA208116 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR908208_1.fastq.gz | Fastqsanger.gz | |||
| SRR908208_2.fastq.gz | Fastqsanger.gz | |||
| SRR908211_1.fastq.gz | Fastqsanger.gz | |||
| SRR908211_2.fastq.gz | Fastqsanger.gz | |||
| SRR908272_1.fastq.gz | Fastqsanger.gz |
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Project description:Arsenic (As) bioavailability in the rice rhizosphere is influenced by many microbial interactions, particularly by metal-transforming functional groups at the root-soil interface. This study was conducted to examine As-transforming microbes and As-speciation in the rice rhizosphere compartments, in response to two different water management practices (continuous and intermittently flooded), established on fields with high to low soil-As concentration. Microbial functional gene composition in the rhizosphere and root-plaque compartments were characterized using the GeoChip 4.0 microarray. Arsenic speciation and concentrations were analyzed in the rhizosphere soil, root-plaque, porewater and grain samples. Results indicated that intermittent flooding significantly altered As-speciation in the rhizosphere, and reduced methyl-As and AsIII concentrations in the pore water, root-plaque and rice grain. Ordination and taxonomic analysis of detected gene-probes indicated that root-plaque and rhizosphere assembled significantly different metal-transforming functional groups. Taxonomic non-redundancy was evident, suggesting that As-reduction, -oxidation and -methylation processes were performed by different microbial groups. As-transformation was coupled to different biogeochemical cycling processes establishing functional non-redundancy of rice-rhizosphere microbiome in response to both rhizosphere compartmentalization and experimental treatments. This study confirmed diverse As-biotransformation at root-soil interface and provided novel insights on their responses to water management, which can be applied for mitigating As-bioavailability and accumulation in rice grains.
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Project description:We present metaproteome data from wheat rhizosphere from saline and non-saline soil. For collection and acquisition of metaproteome from wheat rhizosphere under saline and normal conditions, a survey was conducted in regions of Haryana, India. Samples from 65 days old plants (wheat var HD2967) were collected and pooled and based on EC,saline (NBAIM B; EC 6mS cm-1; pH 9.0; Bhaupur 2, Haryana, INDIA; 29°19'8"N;76°48'53"E) and normal soil samples (NBAIM C; EC 200 uS cm-1; pH 7.2; Near Nainform, Haryana, INDIA; 29°19'8"N;76°48'53"E) were selected for isolation of proteome with the standardized protocol at our laboratory followed by metaproteome analysis with the standardized pipepline. In total 1538 and 891 proteins were obtained from wheat rhizosphere from saline and non-saline respectively with the given parameters and software. Among 1410 proteins unique for saline soil, proteins responsible for glycine, serine and threonine metabolism and arginine and proline biosynthesis were found in saline and absent in non-saline. The present study extends knowledge about the physiology and adaptations of the wheat rhizosphere associated microbiota under saline soil.
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Project description:Microbial communities in the rhizosphere make significant contributions to crop health and nutrient cycling. However, their ability to perform important biogeochemical processes remains uncharacterized. Important functional genes, which characterize the rhizosphere microbial community, were identified to understand metabolic capabilities in the maize rhizosphere using GeoChip 3.0-based functional gene array method. Triplicate samples were taken for both rhizosphere and bulk soil, in which each individual sample was a pool of four plants or soil cores. To determine the abundance of functional genes in the rhizosphere and bulk soils, GeoChip 3.0 was used.
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Project description:Microbial communities in the rhizosphere make significant contributions to crop health and nutrient cycling. However, their ability to perform important biogeochemical processes remains uncharacterized. Important functional genes, which characterize the rhizosphere microbial community, were identified to understand metabolic capabilities in the maize rhizosphere using GeoChip 3.0-based functional gene array method. Triplicate samples were taken for both rhizosphere and bulk soil, in which each individual sample was a pool of four plants or soil cores. To determine the abundance of functional genes in the rhizosphere and bulk soils, GeoChip 3.0 was used.
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| PRJNA1158536 | ENA