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360 results for “microbes”
Isotopic evidence for increased carbon and nitrogen exchanges between peatland plants and their symbiotic microbes with rising atmospheric CO2 concentrations since 15000 cal. yr BP
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Native soil microbes buffer savanna trees against nutrient limitation but are drought sensitive
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Soil microbe-induced plant volatiles can alert neighboring plants for tolerating heavy metal stress
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Salamander skin microbiome sample metadata: Variation in amphibian skin microbes
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Interactive effects of rhizospheric soil microbes and litter on the growth of the invasive hyperaccumulator Bidens pilosa in cadmium-contaminated soil
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Genetic architecture of heritable leaf microbes
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Data from: Roles of soil microbes in shaping the nutrient accumulation of dietary bamboo of giant pandas
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Data from: Competition and soil-microbe mediated interactions following dieback of a dominant wetland plant
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Novel plant-microbe interactions: rapid evolution of a legume-rhizobium mutualism in restored prairies
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Root microbes can improve plant tolerance to insect damage: A systematic review and meta-analysis
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Heatwave grazing kelp microbes sequences
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Competition mode and soil nutrient status shape the role of soil microbes in the diversity–invasibility relationship
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Nutribloods: Novel synthetic lepidopteran haemolymphs for understanding insect-microbe nutritional interactions in vitro
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Habitat quality drives the species-area relationship of plants and soil microbes in an ocean archipelago
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Diversity and predicted function of gut microbes from two species of viviparid snails
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Data from: Soil microbes generate stronger fitness differences than stabilization among California annual plants
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Data for: Prescribed versus wildfire impacts on exotic plants and soil microbes in California grasslands
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Total biomass of two native and one nonnative Eugenia congeners from growth chamber experiment with site, soil microbe, and temperature treatments to test biotic interaction effects of range expansion.
To assess the potential for invasive plants to shift ranges more readily than native plant species, a growth chamber experiment was set up to monitor changes in biomass under different site, temperature, and soil biota treatments. Total biomass (above and belowground) of three Eugenia congeners was assessed by site, soil microbe, and temperature treatments. Of the three congeneric shrub species, two are native to southern and central Florida (Eugenia foetida and E. axillaris,), and one is a non-native invasive from south America (E. uniflora). We measured total biomass for these plant species in growth chambers grown under live and sterile soils from two sites within their current range, and one site in their expected range, simulating current (2010) and predicted future (2050) spring growing season temperatures in the new range. The experiments took place from 2012 - 2013 in University of Central Florida growth chambers.
Talus microbes and plant assessment for the upper Green Lake Valley from 2007 to 2008.
It is increasingly recognized that species distributions are driven by both abiotic factors and biotic interactions. Despite much recent work incorporating competition, predation, and mutualism into species distribution models (SDMs), the focus has been confined to aboveground macroscopic interactions. Biotic interactions between plants and soil microbial communities are understudied as potentially important drivers of plant distributions. Some soil bacteria promote plant growth by cycling nutrients, while others are pathogenic; thus they have a high potential for influencing plant occurrence. We investigated the influence of soil bacterial clades on the distributions of bryophytes and 12 vascular plant species in a high elevation talus-field ecosystem in the Rocky Mountain Front Range, Colorado, USA. We used an information- theoretic criterion (AICc) modeling approach to compare SDMs with the following different sets of predictors: abiotic variables, abiotic variables and other plant abundances, abiotic variables and soil bacteria clade relative abundances, and a full model with abiotic factors, plant abundances, and bacteria relative abundances. We predicted that bacteria would influence plant distributions both positively and negatively, and that these interactions would improve prediction of plant species distributions. We found that inclusion of either plant or bacteria biotic predictors generally improved the fit, deviance explained, and predictive power of the SDMs, and for the majority of the species, adding information on both other plants and bacteria yielded the best model. Interactions between the modeled species and biotic predictors were both positive and negative, suggesting the presence of competition, parasitism, and facilitation. While our results indicate that plant–plant co-occurrences are a stronger driver of plant distributions than plant–bacteria co-occurrences, they also show that bacteria can explain parts of plant distributions that remain
Data from: Do plant-microbe interactions support the Stress Gradient Hypothesis?
<p>The Stress Gradient Hypothesis (SGH), which predicts increasing ratios of facilitative:competitive interactions with increasing stress, has long been a guiding framework for conceptualizing plant-plant interactions. Recently, there has been a growing recognition of the roles of microbes in mitigating or exacerbating environmental stress for their plant hosts. As such, we might predict based on the SGH that beneficial microbial effects on plant performance should be positively associated with stress. We hypothesized that support for the SGH would also vary depending on the host plant's habitat specialization such that species that specialize in high stress habitats and thus likely coevolved with the resident microbes would exhibit stronger support for the SGH than non-specialist plant species. We further hypothesized that support for the SGH would vary with germination frequency, since boosting germination of low-frequency germinators is one effective means by which microbes can benefit plant species performance. Here, we explore whether plant-microbial interactions support the SGH, using 12 plant species native to the Florida rosemary scrub. We conducted factorial experiments that manipulated the presence of microbes in nine soils collected along an elevational stress gradient, and recorded germination frequency and biomass. Microbes increased the germination frequency of four species, all of which had relatively low germination rates. Furthermore, we found support for the SGH in nearly half of the species examined, with soil microbes facilitating germination with increasing stress for five of the 12 species tested, and none of the species exhibiting the opposite trend. Support for the SGH was not predicted by either the plant hosts' habitat specialization or germination frequency. In contrast to germination, biomass results showed little support for the SGH, with four of 12 species refuting and one species supporting SGH predictions. Taken together, our study documents that interactions between the soil microbial community and plant species along a stress gradient can support the SGH, but emphasizes that these effects are life history stage-dependent. This work also identifies a common mechanism (germination facilitation) by which microbes can benefit plant species in stressful habitats.</p>
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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.