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48 results for “microbial community structure”
Microbial Observatory at North Temperate Lakes LTER High-resolution temporal and spatial dynamics of microbial community structure in freshwater bog lakes 2005 - 2009 original format (Reformatted to the ecocomDP Design Pattern)
This data package is formatted as an ecocomDP (Ecological Community Data Pattern). For more information on ecocomDP see https://github.com/EDIorg/ecocomDP. This Level 1 data package was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-ntl/349/4. The abstract below was extracted from the Level 0 data package and is included for context: The North Temperate Lakes - Microbial Observatory seeks to study freshwater microbes over long time scales (10+ years). Observing microbial communities over multiple years using DNA sequencing allows in-depth assessment of diversity, variability, gene content, and seasonal/annual drivers of community composition. Combining information obtained from DNA sequencing with additional experiments, such as investigating the biochemical properties of specific compounds, gene expression, or nutrient concentrations, provides insight into the functions of microbial taxa. Our 16S rRNA gene amplicon datasets were collected from bog lakes in Vilas County, WI, and from Lake Mendota in Madison, WI. Ribosomal RNA gene amplicon sequencing of freshwater environmental DNA was performed on samples from Crystal Bog, North Sparkling Bog, West Sparkling Bog, Trout Bog, South Sparkling Bog, Hell’s Kitchen, and Mary Lake. These microbial time series are valuable both for microbial ecologists seeking to understand the properties of microbial communities and for ecologists seeking to better understand how microbes contribute to ecosystem functioning in freshwater.
Microbial Observatory at North Temperate Lakes LTER High-resolution temporal and spatial dynamics of microbial community structure in freshwater bog lakes 2005 - 2009 original format
The North Temperate Lakes - Microbial Observatory seeks to study freshwater microbes over long time scales (10+ years). Observing microbial communities over multiple years using DNA sequencing allows in-depth assessment of diversity, variability, gene content, and seasonal/annual drivers of community composition. Combining information obtained from DNA sequencing with additional experiments, such as investigating the biochemical properties of specific compounds, gene expression, or nutrient concentrations, provides insight into the functions of microbial taxa. Our 16S rRNA gene amplicon datasets were collected from bog lakes in Vilas County, WI, and from Lake Mendota in Madison, WI. Ribosomal RNA gene amplicon sequencing of freshwater environmental DNA was performed on samples from Crystal Bog, North Sparkling Bog, West Sparkling Bog, Trout Bog, South Sparkling Bog, Hell’s Kitchen, and Mary Lake. These microbial time series are valuable both for microbial ecologists seeking to understand the properties of microbial communities and for ecologists seeking to better understand how microbes contribute to ecosystem functioning in freshwater.
Microbial Observatory at North Temperate Lakes LTER High-resolution temporal and spatial dynamics of microbial community structure in freshwater bog lakes 2005 - 2009 original format (Reformatted to a Darwin Core Archive)
This data package is formatted as a Darwin Core Archive (DwC-A, event core). For more information on Darwin Core see https://www.tdwg.org/standards/dwc/. This Level 2 data package was derived from the Level 1 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-ntl/344/6, which was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-ntl/349/4. The abstract below was extracted from the Level 0 data package and is included for context: The North Temperate Lakes - Microbial Observatory seeks to study freshwater microbes over long time scales (10+ years). Observing microbial communities over multiple years using DNA sequencing allows in-depth assessment of diversity, variability, gene content, and seasonal/annual drivers of community composition. Combining information obtained from DNA sequencing with additional experiments, such as investigating the biochemical properties of specific compounds, gene expression, or nutrient concentrations, provides insight into the functions of microbial taxa. Our 16S rRNA gene amplicon datasets were collected from bog lakes in Vilas County, WI, and from Lake Mendota in Madison, WI. Ribosomal RNA gene amplicon sequencing of freshwater environmental DNA was performed on samples from Crystal Bog, North Sparkling Bog, West Sparkling Bog, Trout Bog, South Sparkling Bog, Hell’s Kitchen, and Mary Lake. These microbial time series are valuable both for microbial ecologists seeking to understand the properties of microbial communities and for ecologists seeking to better understand how microbes contribute to ecosystem functioning in freshwater.
Data and analytical codes for: Learning beyond-pairwise interactions enables the bottom-up prediction of microbial community structure
<p>Data and analytical codes for: Ishizawa et al. (2023) Learning beyond-pairwise interactions enables the bottom-up prediction of microbial community structure, bioRxiv, 2023.07.04.546222</p> <p> https://www.biorxiv.org/content/10.1101/2023.07.04.546222v1</p> <p> </p>
Data from: Sierra Nevada mountain lake microbial communities are structured by temperature, resources, and geographic location
<p><span>Warming, eutrophication (nutrient fertilization) and brownification (increased loading of allochthonous organic matter) are three global trends impacting lake ecosystems. However, the independent and synergistic effects of resource addition and warming on autotrophic and heterotrophic microorganisms are largely unknown. In this study, we investigate the independent and interactive effects of temperature, dissolved organic carbon (DOC, both allochthonous and autochthonous), and nitrogen (N) supply, in addition to the effect of spatial variables, on the composition, richness, and evenness of prokaryotic and eukaryotic microbial communities in lakes across elevation and N deposition gradients in the Sierra Nevada mountains of California, USA. We found that both prokaryotic and eukaryotic communities are structured by temperature, terrestrial (allochthonous) DOC and latitude. Prokaryotic communities are also influenced by total and aquatic (autochthonous) DOC, while eukaryotic communities are also structured by nitrate. Additionally, increasing N availability was associated with reduced richness of prokaryotic communities, and both lower richness and evenness of eukaryotes. We did not detect any synergistic or antagonistic effects as there were no interactions among temperature and resource variables. Together, our results suggest that (a) organic and inorganic resources, temperature, and geographic location (based on latitude and longitude) independently influence lake microbial communities; and (b) increasing N supply due to atmospheric N deposition may reduce richness of both prokaryotic and eukaryotic microbes, likely by reducing niche dimensionality. Our study provides insight into abiotic processes structuring microbial communities across environmental gradients and their potential roles in material and energy fluxes within and between ecosystems.</span></p>
Data and metadata of soil microbial community structure, enzyme activities, functional genes and earthworms derived from H2020 Diverfarming project
<p>Soil data and metadata of soil microbial community structure, enzyme activities (dehydrogenase, β-glucosidase, leucine-aminopeptidase, alkaline phosphatase and arylsusfatase activities), N functional genes and earthworms from the different cases studies and long terms from WP4 "Impact of crop diversification on biodiversity", derived from H2020 Diverfarming project. The main objective of workpackage is to provide a scientific understanding of the link between diversified cropping systems, above- and belowground biodiversity, and the resulting ecosystem services provided by soil microorganisms, soil invertebrates and vegetation in agro-ecosystems. Soil organisms contribute to all biogeochemical cycles, Soil organic matter mineralization and stabilization, shape soil structure and have associations with plant species promoting growth and development. http://www.diverfarming.eu.</p>
Biochar and nitrogen fertilizer promote rice yield by altering soil enzyme activity and microbial community structure
<p><span>Biochar can significantly change soil properties and improve soil quality.</span> <span>However, the effects of long-term combined application of biochar (B) and nitrogen (N) fertilizer on relationships between soil enzyme activity, microbial community structure and crop yield are still obscure. We characterized these relationships in a long-term (8 years) field experiment with rice, two biochar rates of 0 and 13.5 t ha<sup>-1</sup> year<sup>-1</sup> (B0 and B) and two N fertilizer rates of 0 and 300 kg N ha<sup>-1</sup> year<sup>-1</sup> (N0 and N).</span><span> The repeated, long-term combined applications of biochar and N fertilizer significantly increased microbial biomass carbon and nitrogen (MBC and MBN), but biochar decreased the abundance of total bacteria, fungi, actinomycetes, Gram-positive and Gram-negative bacteria as well as the amount of total phospholipid fatty acids. </span><span>The activity of leucine aminopeptidase (LAP) </span><span>decreased significantly in the biochar-amended and N fertilized treatment, but</span><span> the LAP activity either remained unchanged or increased with biochar amendment at N0. The relative abundance of bacterial phylum <em>Chloroflexi</em> was increased in the combined biochar and N fertilizer treatment. The changes in soil organic matter and the activity of α-1,4-xylosidase were the major properties influencing soil bacterial community composition, whereas the structure of fungal community was governed by MBC, MBN and LAP activity. In addition, long-term biochar and N fertilizer applied together significantly increased rice yield (more than biochar and nitrogen fertilizer applied alone). Yield</span> <span>was significantly positively correlated with LAP activity, but significantly negatively correlated with the relative abundance of Chloroflexi. In conclusion, long-term biochar and nitrogen fertilizer applications increased rice yield, which was associated with altered soil microbial community and enhanced activity of some enzymes.</span></p>
Data from: Positive plant diversity effects on soil microbial drought resistance are linked to variation in labile carbon and microbial community structure
<p><span>Biodiversity loss and drought are substantially altering both above-and belowground terrestrial ecosystem functioning, but mechanistic understanding of plant diversity effects on the drought resistance of soil microbial biomass remains limited. </span></p> <p><span>We designed a mesocosm experiment to examine drought resistance of soil microbial biomass along a plant species richness gradient (five plant species richness levels based on old-field communities). We calculated resistance of microbial biomass to drought and recorded key belowground properties which may influence microbial resistance to drought (i.e., microbial diversity, microbial community structure, soil carbon stocks and root biomass). </span></p> <p><span>Plant species richness had a positive effect on microbial resistance to drought. Variation in microbial resistance to drought was linked to properties of the fungal community in ambient soil (Shannon diversity, arbuscular mycorrhizal fungal richness and abundance) but not soil bacterial diversity. Moreover, microbial resistance to drought increased with increasing root biomass and dissolved organic carbon recorded under ambient conditions. </span></p> <p><span>These results highlight the importance of plant diversity for microbial biomass stability in our old-field study system with implications for biogeochemical cycling, and suggest that indirect effects of plant species richness on labile soil carbon and soil fungi may drive resistance of soil microbial biomass to drought. </span></p>
Data for: Lipid biomarkers recording marine microbial community structure changes through the Frasnian‐Famennian mass extinction event
<p>This dataset contains data for a research article published on Geobiology. The article is entitled " <span class="Dummy">Lipid biomarkers recording marine microbial community structure changes through the </span><span class="fc">Frasnian‐Famennian</span><span class="Dummy"> mass extinction event</span>". <span class="Dummy"><span class="Dummy">This study aims to reconstruct changes in the marine microbial community structure through the Late Devonian Frasnian‐Famennian (F‐F) transition. We performed a multiproxy investigation on a drill core of the Upper Devonian New Albany Shale from the Illinois Basin (western Kentucky, USA). </span><span class="Dummy">Detailed information regarding the data collection, analysis, and interpretation can be found in the </span></span><span class="Dummy"><span class="Dummy">following paper:<br></span></span></p> <p class="MsoNormal">Chen J., Hogancamp<sup> </sup>N., Lu<sup> </sup>M., Ikejiri T., Malina N., Ojeda<sup> </sup>A., Sun Y., Lu Y. 2023. Lipid Biomarkers Recording Marine Microbial Community Structure Changes Through the Frasnian‐Famennian Mass Extinction Event. Geobiology <a href="https://doi.org/10.1111/gbi.12568"><span>https://doi.org/10.1111/gbi.12568</span></a></p>
Community assembly amplicon sequences, with pipeline to get asv table for "Spatial structure drives compositional convergence between nutrient environments in experimental microbial communities"
<p>Community assembly amplicon sequences, with pipeline to get asv table for "Spatial structure drives compositional convergence between nutrient environments in experimental microbial communities"</p> <p> </p> <p>compressed FASTA files for 16s amplicon sequences relating to two separate projects, "Spatial structure drives compositional convergence between nutrient environments in experimental microbial communities" and "Habitat filtering leads to phylogenetic clustering in synthetic microbial communities". DADA22 pipeline is included, which pools all samples for better accuracy. A Julia script bioinfo.jl is then used to select only the samples relevant to spatial structure project.</p> <p> </p> <p>All csv filenames are appended with "_q" indicating an increase in the stringency of quality filtering parameters (also increasing minimum hamming distance used in DADA2 algorithm to 5) to produce a taxa table with a sensible number of ASVs (given a known number of input strains) with each ASV uniquely aligning to an individual sequence from colony PCR of said input strains.</p> <p> </p>
Data from: Diversity and structural variability of bacterial microbial communities in rhizocompartments of desert leguminous plants
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Data for: Lipid biomarkers recording marine microbial community structure changes through the Frasnian‐Famennian mass extinction event
Open the record for dataset details and reuse information.
Data from: Sierra Nevada mountain lake microbial communities are structured by temperature, resources, and geographic location
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The role of plant-pollinator interactions in structuring nectar microbial communities
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Data from: Positive plant diversity effects on soil microbial drought resistance are linked to variation in labile carbon and microbial community structure
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Biochar and nitrogen fertilizer promote rice yield by altering soil enzyme activity and microbial community structure
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Data from: Multiple stressors affect function rather than taxonomic structure of freshwater microbial communities
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Streptomyces pathogen suppressive activity in plant communities varying in diversity:Plant host and plant diversity effects on rhizosphere microbial community composition, diversity, structure, and function.
Effects of plant host and plant community diversity on soil rhizosphere microbial community composition, diversity, structure, and function were explored in long-term experimental plots. Soil samples were collected from the rhizosphere of one of 4 target plants species (Andropogon gerardii, Schizachyrium scoparium, Lespedeza capitata, or Lupinus perennis) growing in 1, 4, 8, 16, or 32-species plots. Pathogen-suppressive activities of soil streptomycetes were determined for every sample. In addition, soil metagenomic analyses were performed targeting bacterial or streptomycete communities. Soil edaphic characteristics were determined for every sample. Analyses consider both the effects of plant host and plant community diversity on microbial community structure and function, and the relationships of diverse taxa with plant host, plant community diversity, and soil edaphic characteristics.
Microbial community structure across grazing treatments and environmental gradients in the Serengeti
<p>Field-based observational research is the first step in understanding the factors that structure microbial communities and generate biogeography of soil microbes. As one of the last remaining naturally grazed ecosystems on Earth, the Serengeti National Park in Tanzania is an ideal location to study the influence of large migratory mammals on microbial communities. Also, active volcanoes generate strong environmental gradients due to ash deposition and a rain shadow. We used 16S rRNA amplicons to characterize bacterial and archaeal communities in soils from a 13-year herbivore removal experiment to study the influence of grazing and environmental gradients on the natural distribution of soil microbes. Removal of mammalian herbivores shifted microbial community structure, with 31 amplicon sequence variants (ASVs) that were significant indicator taxa of the ungrazed treatment and only three ASVs that were significant indicators of the grazed treatment. The abundance of many ASVs were correlated with soil texture, phosphorus, iron, calcium and rainfall, and the evenness of taxa within samples increased with fine-textured soil. Bayesian general linear mixed effects models that parse the relative importance of multiple, highly correlated predictors of beta diversity were consistent with a significant, but weak (2%), effect of grazing, and stronger effects of phosphorus (14%) and silt (14%) contents in soil. Beta diversity of microbial communities was greater in grazed than in ungrazed plots; consequently, our results suggest that the impacts of grazing on the community assembly of microbes results from deterministic environmental filtering caused by the influence of herbivores on plant communities and soil properties rather than stochastic dispersal via herds of large mammalian herbivores. These herbivore effects are superimposed on deterministic environmental filtering by natural soil and precipitation gradients across the Serengeti.</p>
A dataset of plant and microbial community structure after long-term grazing and mowing in a semiarid steppe
<p>Grazing and mowing are two dominant management regimes used in grasslands. Although many studies have focused on the effects of grazing intensity on plant community structure, far fewer test how grazing impacts the soil microbial community. Furthermore, the effects of long-term grazing and mowing on plant and microbial community structure are poorly understood. To elucidate how these management regimes affect plant and microbial communities, we collected data from 280 quadrats in a semiarid steppe after 12-year of grazing and mowing treatments. We measured plant species abundance, height, coverage, plant species diversity, microbial biomass, and microbial community composition (G+ and G- bacteria; arbuscular mycorrhizal and saprotrophic fungi; G+/G- and Fungi/Bacteria). In addition, we determined the soil's physical and chemical properties, including soil hardness, moisture, pH, organic carbon, total nitrogen, and total phosphorus. This is a long-term and multifactorial dataset with plant, soil, and microbial attributes which can be used to answer questions regarding the mechanisms of sustainable grassland management in terms of plant and microbial community structure.</p>
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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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.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.