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67 results for “microbial interactions”
Fig. 2 in Review paper Stimulation of Plant Growth through Interactions of Bacteria and Protozoa: Testing the Auxiliary Microbial Loop Hypothesis
Fig. 2. Effects of Acanthamoeba castellanii on root diameter size classes of a grass (Lolium perenne). Grass plants were grown for 20 days in presence (+ Amo) and absence (– Amo) of amoebae on 1% agar with ½ Murashigge and Skoog medium in Petri dishes with a diverse soil bacterial community (Kreuzer, unpublished).
Dimethyl sulfide mediates microbial predator-prey interactions between zooplankton and algae in the ocean
<p>Phytoplankton are key components of the oceanic carbon and sulfur cycles. During bloom events, some species can emit large amounts of the organosulfur volatile dimethyl sulfide (DMS) into the ocean, and consequently the atmosphere, where it can modulate aerosol formation and affect climate. In aquatic environments, DMS plays an important role as a chemical signal mediating diverse trophic interactions. Yet, its role in microbial predator-prey interactions remains elusive with contradicting evidence for its role in either algal chemical defense or in the chemoattraction of grazers to prey cells. Here, we investigated the signaling role of DMS during zooplankton-algae interactions by genetic and biochemical manipulation of the algal DMS-generating enzyme dimethylsulfoniopropionate lyase (DL) in the bloom-forming alga <em>Emiliania huxleyi</em>. We inhibited DL activity in <em>E. huxleyi</em> cells in-vivo using the selective DL-inhibitor 2-bromo-3-(dimethylsulfonio)-propionate (Br-DMSP), and overexpressed the DL encoding gene in the model diatom <em>Thalassiosira pseudonana.</em> We showed that algal DL activity did not serve as an anti-grazing chemical defense, but paradoxically enhanced predation by the grazer <em>Oxyrrhis marina </em>and other micro- and mesozooplankton, including ciliates and copepods. Consumption of algal prey with induced DL activity also promoted <em>O. marina</em> growth. Overall, our results demonstrate that DMS-mediated grazing may be ecologically important and prevalent during prey-predator dynamics in aquatic ecosystems. The role of algal DMS revealed here, acting as an eat-me signal for grazers, raises fundamental questions regarding the retention of its biosynthetic enzyme through the evolution of dominant bloom-forming phytoplankton in the ocean.</p>
Contribution of microbial interactions to the local adaptation of Bromus tectorum to variable salinity conditions
<p>We conducted a greenhouse experiment examining the contribution of microbes to plant local adaptation. We collected genotypes of Bromus tectorum from a variety of locations varying in their soil salinity. We then grew these genotypes in the greenhouse under variable salinity and microbial conditions, and measured their biomass and survival.</p>
Dataset for Interspecies interactions determine growth dynamics of biopolymer degrading populations in microbial communities.
<p>This is the dataset (containing raw and annotated image sets, scripts, and growth dynamics) </p>
Contribution of microbial interactions to the local adaptation of Bromus tectorum to variable salinity conditions
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Data from: Macroalgal-bacterial interactions: role of dimethylsulfoniopropionate in microbial gardening by Ulva (Chlorophyta)
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Siderophore-mediated interactions determine the disease suppressiveness of microbial consortia
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Data from: Viral dark matter and virus–host interactions resolved from publicly available microbial genomes
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Data from: Resource constraints highlight complex microbial interactions during lake biofilm development
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Dimethyl sulfide mediates microbial predator-prey interactions between zooplankton and algae in the ocean
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Data from: Interactions among roots, mycorrhizae and free-living microbial communities differentially impact soil carbon processes
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Data from: Modeling and quantifying frequency-dependent fitness in microbial populations with cross-feeding interactions
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Early-life microbial exposure imprints the abundance of mucosal-associated invariant T cells and subsequent interactions modulate their function
GEO Series GSE128814. Mus musculus. 10 samples. Type: Expression profiling by high throughput sequencing.
Commensal Microbial Interactions Alter Streptococcus mutans Transcriptome Profile and Cell-Cell Signaling
GEO Series GSE147421. Streptococcus mutans. 9 samples. Type: Expression profiling by high throughput sequencing.
Data from: The impact of bottlenecks on microbial survival, adaptation and phenotypic switching in host-pathogen interactions
Microbial pathogens and viruses can often maintain sufficient population diversity to evade a wide range of host immune responses. However, when populations experience bottlenecks, as occurs frequently during initiation of new infections, pathogens require specialized mechanisms to regenerate diversity. We address the evolution of such mechanisms, known as stochastic phenotype switches, which are prevalent in pathogenic bacteria. We analyze a model of pathogen diversification in a changing host environment that accounts for selective bottlenecks, wherein different phenotypes have distinct transmission probabilities between hosts. We show that under stringent bottlenecks, such that only one phenotype can initiate new infections, there exists a threshold stochastic switching rate below which all pathogen lineages go extinct, and above which survival is a near certainty. We determine how quickly stochastic switching rates can evolve by computing a fitness landscape for the evolutionary dynamics of switching rates, and analyzing its dependence on both the stringency of bottlenecks and the duration of within-host growth periods. We show that increasing the stringency of bottlenecks or decreasing the period of growth results in faster adaptation of switching rates. Our model provides strong theoretical evidence that bottlenecks play a critical role in accelerating the evolutionary dynamics of pathogens.
Interactions of Environmental and Human Microbial Communities in a Pediatric Oncology Hospital
ClinicalTrials.gov study NCT02948335. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Microbial iCLIP2: Enhanced mapping of RNA-protein interaction by promoting protein and RNA stability
GEO Series GSE273496. Mycosarcoma maydis. 5 samples. Type: Other.
Data from: The impact of bottlenecks on microbial survival, adaptation and phenotypic switching in host-pathogen interactions
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Enhanced metabolic potentials and functional gene interactions of microbial stress response towards high elevation in freshwater lakes
GEO Series GSE156784. Archaea; uncultured microorganism; Bacteria; Eukaryota; Viruses. 24 samples. Type: Other.
A novel metabolic monitoring system identified nutrition-mediated microbial interactions
GEO Series GSE18474. Escherichia coli; Bifidobacterium longum. 8 samples. Type: Expression profiling by array.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.