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14 results for “rhizosphere microbiome”

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zenodo36/100

Data from: Heterosis of leaf and rhizosphere microbiomes in field-grown maize

<p>Data and code associated with the submitted manuscript &quot;<strong>Heterosis of leaf and rhizosphere microbiomes in field-grown maize</strong>&quot;. Detailed descriptions of each file can be found in the README.txt . The raw sequence data associated with this work can be downloaded from the NCBI Sequence Read Archive, listed under BioProject #PRJNA597058.</p>

opencc-by-4.0Mar 2020View details →
dryad36/100

Phages enhance both phytopathogen density control and rhizosphere microbiome suppressiveness

<p>Bacteriophages, viruses that specifically target plant pathogenic bacteria, have emerged as a promising alternative to traditional agrochemicals. However, it remains unclear how phages should be applied to achieve efficient pathogen biocontrol, and to what extent their efficacy is shaped by indirect interactions with the resident microbiota. Here we tested if the phage biocontrol efficacy of <em>Ralstonia solanacearum</em> phytopathogenic bacterium can be improved by increasing the phage cocktail application frequency, and if the phage efficacy is affected by pathogen-suppressing bacteria already present in the rhizosphere. We find that increasing phage application frequency improves <em>R. solanacearum</em> density control, leading to a clear reduction in bacterial wilt disease in both greenhouse and field experiments with tomatoes. The high phage application frequency also increased the diversity of resident rhizosphere microbiota and enriched several bacterial taxa that were associated with the reduction in pathogen densities. Interestingly, these taxa often belonged to <em>Actinobacteria</em> known for antibiotics production and soil suppressiveness. To test if they could have had secondary effects on <em>R. solanacearum </em>biocontrol, we isolated Actinobacteria from <em>Nocardia</em> and <em>Streptomyces</em> genera and tested their suppressiveness to the pathogen <em>in vitro</em> and <em>in planta</em>. We found that these taxa could clearly inhibit <em>R. solanacearum</em> growth and constrain bacterial wilt disease, especially when combined with the phage cocktail. Together, our findings unravel an undiscovered benefit of phage therapy, where phages trigger a second line of defense by the pathogen-suppressing bacteria that already exist in resident microbial communities.</p>

opencc-zeroMay 2024View details →
dryad36/100

Stimulated saprotrophic fungi in arable soil extend their activities to the rhizosphere and root microbiomes of crop seedlings

Open the record for dataset details and reuse information.

publicJun 2021View details →
dryad36/100

Data from: Controlled irrigation suppresses methane emissions by reshaping the rhizosphere microbiomes in rice

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publicDec 2025View details →
dryad36/100

Phages enhance both phytopathogen density control and rhizosphere microbiome suppressiveness

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publicMay 2024View details →
zenodo32/100

Gradual Enhancement of the Assemblage Stability of the Reed Rhizosphere Microbiome with Recovery Time

<p>This is a supplementary material for the article of &quot;Gradual Enhancement of the Assemblage Stability of the Reed Rhizosphere Microbiome with Recovery Time&quot;</p>

opencc-by-4.0Apr 2022View details →
zenodo32/100

Impact of Rhizosphere Quantitative Microbiome and Soil Properties on Alkaloid Dynamics in Lycoris aurea

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opencc-by-4.0Jun 2024View details →
zenodo32/100

Supplementary data: Integrated use of consortia-based microbial inoculants and nutrient complex stimulates the rhizosphere microbiome and soybean productivity

<p>The data represent the impact of microbial consortia consisting of different combinations of <em>Bradyrhizobium japonicum</em>, <em>Bacillus megaterium</em>, <em>Bacillus subtilis</em>, and <em>Azotobacter chroococcum</em> with or without nutrient complex (S, Mg, Mn, Fe, Zn, Cu, B, and Mo) on the abundance and activity of microorganisms in the rhizosphere, soybean growth and development, as well as the quantity and quality of seed yield under field conditions.</p> <p>A field experiment was performed to evaluate the responses of the rhizomicrobiome and soybean to seed treatments with multiple bacterial strains (<em>Bradyrhizobium japonicum</em>, <em>Bacillus subtilis</em>, <em>Bacillus megaterium</em>, and <em>Azotobacter chroococcum</em>), applied individually or in consortia, with and without nutrient complex (S, Mg, Mn, Fe, Zn, Cu, B, and Mo). Seed treatments with microbial consortia of <em>Br. japonicum</em>, <em>B. subtilis</em>/<em>B. megaterium</em>, <em>A. chroococcum</em> strains and nutrients had the highest effect on the abundance of total bacteria, azotobacters, nitrogen-fixing bacteria, actinomycetes, and activity of dehidrogenase in soybean rhizosphere. The highest effect on plant height, plant weight, pod number, pod weight, seed number, and seed weight was obtained from treatment with <em>Br. japonicum</em> strains with nutrients, followed by co-inoculation with <em>B. megaterium</em> and <em>A. chroococcum</em>. In comparison with the control and <em>Bradyrhizobium</em> single inoculation, a statistically significant increase in the seed yield was recorded in treatment with <em>Br. japonicum</em>, <em>B. megaterium</em>, <em>A. chroococcum,</em> and nutrients, reflecting the highest increase in protein and oil yield. The interactive effects of microbial consortia and nutrients could be used as promising seed technology for sustainable soybean cropping.</p>

openAug 2023View details →
dryad32/100

Competition for iron drives phytopathogen control by natural rhizosphere microbiomes

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publicApr 2020View details →
zenodo28/100

Drought influences fungal community dynamics in the grapevine rhizosphere and root microbiome

<p>xxx</p>

opencc-by-4.0Jul 2021View details →
dryad24/100

Data from: Systemic enrichment of antifungal traits in the rhizosphere microbiome after pathogen attack

1. Plant-associated microbial communities are crucial for plant growth and play an important role in disease suppression. Community composition and function change upon pathogen attack, yet to date we do not know if these changes are a side effect of the infection or actively driven by the plant. 2. Here we used a split-root approach to test whether barley plants recruit bacteria carrying antifungal traits upon infestation with Fusarium graminearum. Split-root systems allow disentangling local infection effects, such as root damage, from systemic, plant-driven effects on microbiome functionality. We assessed the recruitment of fluorescent pseudomonads, a taxon correlated with disease suppression, and of two well-described antifungal genes (phlD coding for 2,4-DAPG and hcnAB coding for HCN). 3. We show an enrichment of fluorescent pseudomonads, phlD and hcnAB upon pathogen infection. This effect was only measurable in the uninfected root compartment. We link these effects to an increased chemotaxis of pseudomonads towards exudates of infected plants. 4. Synthesis. We conclude that barley plants selectively recruited bacteria carrying antifungal traits upon pathogen attack and that the pathogen application locally interfered with this process. By disentangling these two effects we set the base for enhancing strategies unravelling how pathogens and plant hosts jointly shape microbiome functionality.

opencc-zeroDec 2015View details →
dryad24/100

Data from: Systemic enrichment of antifungal traits in the rhizosphere microbiome after pathogen attack

Open the record for dataset details and reuse information.

publicJun 2017View details →
geo16/100

The preceding root system drives the rhizosphere microbiome

GEO Series GSE146427. soil metagenome. 18 samples. Type: Other.

openGEO-OpenMar 2020View details →
geo16/100

A SWEET Challenge: Less Sugar for Rhizospheric Microbiome Under the Successive Wheat Cultivatoin

GEO Series GSE299883. Triticum aestivum. 12 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJun 2025View details →

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International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

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Last verified 2026-04-29Open record

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Last verified 2026-04-29Open record