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.
2021-07-12 | GSE179671 | GEO
Project description:16s high-throughput sequencing data of potting rhizosphere soil
Project description:Understanding the mechanisms underlying the establishment of invasive plants is critical in community ecology. According to a widely accepted theory, plant-soil-microbe interactions mediate the effects of invasive plants on native species, thereby affecting invasion success. However, the roles and molecular mechanisms associated with such microbes remain elusive. Using high throughput sequencing and a functional gene microarray, we found that soil taxonomic and functional microbial communities in plots dominated by Ageratina adenophora developed to benefit the invasive plant. There were increases in nitrogen-fixing bacteria and labile carbon degraders, as well as soil-borne pathogens in bulk soil, which potentially suppressed native plant growth. Meanwhile, there was an increase of microbial antagonism in the A. adenophora rhizosphere, which could inhibit pathogenicity against plant invader. These results suggest that the invasive plant A. adenophora establishes a self-reinforcing soil environment by changing the soil microbial community. It could be defined as a ‘bodyguard/mercenary army’ strategy for invasive plants, which has important insights for the mitigation of plant invasion.
Project description:We used wheat as rotational crop to assess the influence of continuous cropping on microbiome in Pinellia ternata rhizosphere and the remediation of rotational cropping to the impacted microbiota. Illumina high-throughput sequencing technology was utilized for this method to explore the rhizosphere microbial structure and diversity based on continuous and rotational cropping.
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.
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.
Project description:Background: The soil environment is responsible for sustaining most terrestrial plant life on earth, yet we know surprisingly little about the important functions carried out by diverse microbial communities in soil. Soil microbes that inhabit the channels of decaying root systems, the detritusphere, are likely to be essential for plant growth and health, as these channels are the preferred locations of new root growth. Understanding the microbial metagenome of the detritusphere and how it responds to agricultural management such as crop rotations and soil tillage will be vital for improving global food production. Methods: The rhizosphere soils of wheat and chickpea growing under + and - decaying root were collected for metagenomics sequencing. A gene catalogue was established by de novo assembling metagenomic sequencing. Genes abundance was compared between bulk soil and rhizosphere soils under different treatments. Conclusions: The study describes the diversity and functional capacity of a high-quality soil microbial metagenome. The results demonstrate the contribution of the microbiome from decaying root in determining the metagenome of developing root systems, which is fundamental to plant growth, since roots preferentially inhabit previous root channels. Modifications in root microbial function through soil management, can ultimately govern plant health, productivity and food security.
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.
Project description:The rapid development of high-throughput sequencing is conducive to the discovery of many new theories. The purpose of this study is to explore the differentially expressed of tRF & tiRNA in cholangiocarcinoma by high-throughput sequencing technology. We collected cholangiocarcinoma and adjacent normal tissues from three patients. After RNA extraction and RNA library preparation, we determined the raw data of tRF & tiRNA in cholangiocarcinoma and adjacent normal tissues by high-throughput RNA sequencing. Raw data were generated after sequencing,image analysis,basecalling and quality filtering on lllumina sequencer.Firstly,Q30 was used to perform quality control.The adaptor sequences were trimmed and the adaptor-trimmed-reads(>=16nt) were left by cut adapt software(v1.9.3).Then,the raw counts of each tRF&tiRNA(MINTbasev2.0) was calculated for all samples,defined as the raw expression level soft.The results showed that a total of 20102 tsRNA were detected in the two groups, 9616tsRNA were upregulated and 10486 were downregulated. There were 535 differentially expressed tsRNA in cholangiocarcinoma after edger standardization, of which 241 were upregulated and 294 were downregulated (| log2 (foldchange) | = 1andpvalue < 0.05). This study shows that high-throughput sequencing technology is helpful for us to determine the expression of tRF & tiRNA in cholangiocarcinoma, and to screen out differentially expressed tRF & tiRNA, and further to explore the factors that affect the progress of cholangiocarcinoma.
Project description:We present metaproteome data from maize rhizosphere from sodic soil. Isolation of proteome from maize rhizosphere collected from Experimental Farm, ICAR-IISS, Mau, India was done with the standardized protocol at our laboratory and metaproteome analysis was done with the standardized pipepline. In total 696 proteins with different functions representing 245 genus and 395 species were identified. The proteome data provides direct evidence on the biological processes in soil ecosystem and is the first reported reference data from maize rhizosphere.