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51 results for “all soil bacteria”
Soil Bacteria and Archaea in Macrosystems Biodiversity Project at Harvard Forest 2012
Patterns of biodiversity, such as the increase toward the tropics and the peaked curve during ecological succession, are fundamental phenomena for ecology. Such patterns have multiple, interacting causes, but temperature emerges as a dominant factor across organisms from microbes to trees and mammals, and across terrestrial, marine, and freshwater environments. However, there is little consensus on the underlying mechanisms, even as global temperatures increase and the need to predict their effects becomes more pressing. The purpose of this project is to generate and test theory for how temperature impacts biodiversity through its effect on biochemical processes and metabolic rate. A combination of standardized surveys in the field and controlled experiments in the field and laboratory measure diversity of three taxa -- trees, invertebrates, and microbes -- and key biogeochemical processes of decomposition in seven forests distributed along a geographic gradient of increasing temperature from cold temperate to warm tropical. This field experiment focused on soil microbes. DNA was extracted and purified from soil cores from an array of 21 1m2 subplots. The V4 region of the 16S rRNA genes for bacteria and archaea were amplified and sequenced using Illumina MiSeq by the University of Oklahoma Institute for Environmental Genomics as part of a macrosystems biodiversity and latitude project supported by the National Science Foundation under Cooperative Agreement DEB#1065836.
Soil Bacteria Community-Weighted rrn Operon Copy Number Estimation
<p>Datasets and R-Scripts for estimating community-weighted rrn operon copy number for soil bacteria communities collected from the Yukon-Kuskokwim River Delta, AK, USA, and from La Selva Biological Station, Costa Rica. File descriptions follow:</p> <p>"rrnDB_copy_number_database.csv": The Ribosomal RNA Database downloaded from <a href="rrndb.umms.med.umich.edu.">rrndb.umms.med.umich.edu.</a> Citation: </p> <ul> <li>Stoddard S.F, Smith B.J., Hein R., Roller B.R.K. and Schmidt T.M. (2015) <em>rrn</em>DB: improved tools for interpreting rRNA gene abundance in bacteria and archaea and a new foundation for future development. <em>Nucleic Acids Research</em> 2014; doi: 10.1093/nar/gku1201 [<a href="http://www.ncbi.nlm.nih.gov/pubmed/25414355">PMID:25414355</a></li> </ul> <p>"AK_16S_Genus_Abundance.csv": Count of ASVs by taxon (assigned to genus level) present in each soil sample collected in the Yukon_Kuskokwim River Delta, AK, USA.</p> <p>"Costa_Rica_16S_OTU_Abundance": Count of OTUs by taxon present in each soil sample collected in La Selva Biological Station, Costa Rica.</p> <p>"Alaska_rrn_copy_number_estimation_script.R": an R script for processing Alaska ASV count table and estimating community-weighted rrn operon copy numbers for each soil sample.</p> <p>"CostaRica_rrn_copy_number_estimation_script.R": an R script for processing Costa Rica OTU count table and estimating community-weighted rrn operon copy numbers for each soil sample.</p>
16S gene and ASV sequences of bacteria isolated from soil and the phyllosphere of Arabidopsis thaliana
<p>Data from "Induction of antibiotic specialized metabolism by co-culturing in a collection of phyllosphere bacteria" by Qi et al. </p> <p>- 16S gene sequences of bacteria isolated from soil and the phyllosphere of Arabidopsis thaliana in FASTA format. </p> <p>- Filtered OTU (ASV) table across all samples </p> <p>- ASV sequences</p>
Dataset for Aqueous habitats and carbon inputs shape the microscale geography and interaction ranges of soil bacteria
<p>This repository hosts data for the paper entitled: "<em>Aqueous habitats and carbon inputs shape the microscale geography and interaction ranges of soil bacteria</em>" by Samuel Bickel and Dani Or.</p> <p>The following files are provided:</p> <p><strong>Microcosm experiment:</strong></p> <p>- Fluorescence microscopy images of the microcosm experiment (*.tif)</p> <p>- Code used for extracting cell locations from images (image_analysis.py)</p> <p><strong>Global model estimates from the bacterial interactions heuristic model:</strong></p> <p>- Maps of estimated cell density and proportion of biomass associated with anoxic cell clusters (*.nc)</p> <p> </p>
Meta-omics-aided isolation of elusive anaerobic arsenic-methylating soil bacteria
<p>Data pertaining to the manuscript "<strong>Meta-omics-aided isolation of an elusive anaerobic arsenic-methylating soil bacterium"</strong> by Karen Viacava, Jiangtao, Qiao, Andrew Janowczyk, Suresh Poudel, Nicolas Jacquemin, Karin Lederballe Meibom, Him K. Shrestha, Matthew C. Reid, Robert L. Hettich and Rizlan Bernier-Latmani published in ISME journal.</p>
Fig. 3 in Effects of the Secondary Metabolite Producing Pseudomonas fluorescens CHA0 on Soil Protozoa and Bacteria
Fig. 3. Colony forming curves of culturable bacteria in soil microcosms harvested after 1, 7, and 14 days on non-selective agar media. For each harvest event the same plates were counted repeatedly. Statistical significant differences between the treatments at the last counting event of each harvest are indicated by different letters.
Fig. 4 in Effects of the Secondary Metabolite Producing Pseudomonas fluorescens CHA0 on Soil Protozoa and Bacteria
Fig. 4. Abundance of culturable protozoa in the four different soil microcosms. The protozoa were counted by MPN as fast-growing protozoa after 1 week of incubation and as total protozoa after 3 weeks of incubation by inspecting the same plates twice. Significant differences of treatments within each sampling time and incubation time are shown as different small letters above the bars. After one day protozoa was only counted in the control microcosm. Significant differences between the abundance of protozoa in the control microcosm are shown as capital letters. bd: below detection limit of 157 protozoa g–1 dw. nd: not determined.
Fig. 2 in Effects of the Secondary Metabolite Producing Pseudomonas fluorescens CHA0 on Soil Protozoa and Bacteria
Fig. 2. Fate of inoculated P. fluorescence CHA0/gfp1 and P. fluorescens CHA0/pME3424 during incubation in soil microcosms determined as CFU on selective agar media (see Materials and Methods for selective agents). The individual data points for each replicate are shown along with the linear regression line for each strain.
Fig. 1 in Effects of the Secondary Metabolite Producing Pseudomonas fluorescens CHA0 on Soil Protozoa and Bacteria
Fig. 1. Soil respiration measured as accumulated CO 2 during the incubation of microcosms consisting of soil, shredded barley straw and either of three bacterial inoculants: E. aerogenes, P. fluorescens CHA0/gfp1, P. fluorescens CHA0/pME3424. Control treatment did not receive any bacteria.
Metadata from: Rhizosphere bacteria and fungi are differentially structured by host plants, soil mineralogy and ectomycorrhizal communities in the Alaskan tundra
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Data from: Plant-bacteria-soil response to frequency of simulated nitrogen deposition has implications for global ecosystem change
<ol> <li><span>Atmospheric nitrogen (N) deposition, generally, has been simulated through a single or relatively few N applications per year for its ecological effect study. Despite the importance of timing in ecosystem processes, ecological experiments with more realistic N addition frequencies are rare.</span></li> <li><span>We employed a novel design with typical twice (2X) vs. atypical monthly (12X) N applications per year to explore effects of N addition frequency on above- and below-ground biodiversity and function. </span></li> <li><span>Each year, several response variables from either belowground or aboveground growth, N status and cycling, or plant and bacterial diversity differed as a result of N addition frequency. BNPP showed a large frequency effect in the relatively moist year but not in the dry year. Nitrogen addition decreased root growth in the monthly relative to the biannual applications, which could be highly consequential for predicting changes in global carbon and nitrogen cycling. Simulated N deposition tended to perturb biodiversity, but it is noteworthy that 12X applications that spread N deposition more evenly through a year have much less negative impacts on plant and bacterial diversities than 2X amendments per year. Soil N mineralization rate in year 6 was much lower when N additions were monthly compared with a biannual amendment, especially when simulated N deposition was high. </span></li> <li><span>We have established that amendment frequency matters for understanding ecosystem response to N deposition. Experiments that more closely mimic the anthropogenic process of N deposition are needed to best assess ecosystem and potential global biogeochemical changes.</span></li> </ol>
Data from: Decoupled responses of soil bacteria and their invertebrate consumer to warming, but not freeze-thaw cycles, in the Antarctic Dry Valleys
Altered temperature profiles resulting in increased warming and freeze–thaw cycle (FTC) frequency pose great ecological challenges to organisms in alpine and polar ecosystems. We performed a laboratory microcosm experiment to investigate how temperature variability affects soil bacterial cell numbers, and abundance and traits of soil microfauna (the microbivorous nematode Scottnema lindsayae) from McMurdo Dry Valleys, Antarctica. FTCs and constant freezing shifted nematode body size distribution towards large individuals, driven by higher mortality among smaller individuals. FTCs reduced both bacterial and nematode abundance, but bacterial cell numbers also declined under warming, demonstrating decoupled consumer–prey responses. We predict that higher occurrence of FTCs in cold ecosystems will select for large body size within soil microinvertebrates and overall reduce their abundance. In contrast, warm temperatures without FTCs could lead to divergent responses in soil bacteria and their microinvertebrate consumers, potentially affecting energy and nutrient transfer rates in soil food webs of cold ecosystems.
3D dataset of root soil bacteria dynamics obtained using large field of view light sheet microscope
<p>A tailor made dual-illumination light-sheet system acquired photons scattered from the plant whilst fluorescence emissions were simultaneously captured from transparent soil particles and labelled microorganisms, allowing the generation of quantitative data on samples approximately 3600 mm<sup>3</sup> in size with as good as 5 µm resolution at a rate of up to one scan every 30 minutes. The dataset shows the dynamics of Bacillus subtilis populations in the rhizosphere of lettuce plants in real time.</p> <p> </p> <p> </p>
In Situ Diversity of Metabolism and Carbon Use Efficiency among Soil Bacteria
<p>Dataset for the MS</p>
Traits of soil bacteria predict plant responses to soil moisture
<p>Microbes can promote beneficial plant and animal responses to abiotic environments, but the ecological drivers of this benefit remain elusive. Here we investigated byproduct benefits, which occur when traits that increase the fitness of one species provide incidental benefits to another species with no direct cost to the provider species. In experimental mesocosms, microbial traits predicted plant responses to soil moisture such that bacteria with self-beneficial traits in drought increased plant early growth, size at reproduction, and chlorophyll concentration under drought, while bacteria with self-beneficial traits in well-watered environments increased these same plant traits in well-watered environments. Thus, microbial traits that promote microbial success in different soil moisture environments also promote plant success in these same environments. Our results show that the concept of byproduct benefits, originally conceived to explain the evolution of cooperation in pairwise mutualisms, also applies to interactions between plants and non-symbiotic soil microbes.</p>
Succession of bacteria and archaea within the soil micro-food web shifts soil respiration dynamics
<p>Supplementary Table 5. Overview over abundance changes, taxonomic affiliation, and response type of dominant ASVs under the different treatment combinations. M: maize litter , A: A. buetschlii, + and – signs indicate presence and absence, respectively.</p>
Fractions of soil phosphorus mediated by rhizospheric phoD-harboring bacteria of deep-rooted desert species are determined by fine-root traits
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Traits of soil bacteria predict plant responses to soil moisture
Open the record for dataset details and reuse information.
Data from: Decoupled responses of soil bacteria and their invertebrate consumer to warming, but not freeze-thaw cycles, in the Antarctic Dry Valleys
Open the record for dataset details and reuse information.
Data from: Plant-bacteria-soil response to frequency of simulated nitrogen deposition has implications for global ecosystem change
Open the record for dataset details and reuse information.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
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.