Project description:Tomato rhizosphere microbiome in the belowground segregation experiment
| PRJNA755741 | ENA
Project description:Tomato rhizosphere bacterial community in the belowground segregation experiment
| PRJNA755739 | ENA
Project description:EMG produced TPA metagenomics assembly of PRJNA755741 data set (Tomato rhizosphere microbiome in the belowground segregation experiment).
Project description:Phosphate (P) fertilization impacts many rhizosphere processes, driving plant P use efficiency. However, less is known about the induced molecular and physiological root-rhizosphere traits in responses to polyphosphates (PolyP), particularly root transcriptome and belowground functional traits responsible for P acquisition. The present study aims to investigate physiological and transcriptomic belowground mechanisms explaining the enhanced durum wheat P acquisition under PolyP (PolyB and PolyC) supply. Root molecular traits were differentially expressed in response to PolyP, where PolyB induced upregulation of OGDH, MDH, and ENO, PAP21 and downregulation of PFK, and LDH genes. The modulation of gene expression can presumably explain the PolyP-induced changes in rhizosphere (root, rhizosphere soil, soil solution) acidification (pH decreased from 8 to 6.3) and acid phosphatase activities, which were concomitant with enhanced rhizosphere soil P availability and shoot Pi content (145% and 36% compared to OrthoP, respectively) along with changes in morphological and transcriptomic root (particularly, the upregulation of AUX1 and ABA transporter genes) traits. These findings provide novel insights that P acquisition from polyphosphates involves the coordinated regulation of genes governing root-rhizosphere processes and root development, ultimately enhancing wheat P acquisition.
Project description:ISR is the initiation of a beneficial association by certain fungi in the rhizosphere followed by the establishment of belowground-aboveground signaling communication may result in the induction of heightened host resistance to foliar and stem pathogens, as well as insect pests.
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:Tomato rhizosphere microbiome in the pot experiment
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.