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520 results for “Host interactions”

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dryad32/100

Data from: Vaginal host immune-microbiome interactions in a cohort of primarily African-American women who ultimately underwent spontaneous preterm birth or delivered at term

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publicOct 2020View details →
dryad32/100

Data from: Host plant distributions and climate interact to affect the predicted geographic distribution of a neotropical termite

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publicFeb 2018View details →
dryad32/100

Data from: Transcriptomics of host-specific interactions in natural populations of the parasitic plant purple witchweed (Striga hermonthica)

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publicJun 2019View details →
dryad32/100

Data from: Context-dependent interactions between pathogens and a mutualist affect pathogen fitness and mutualist benefits to hosts

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publicSep 2019View details →
dryad32/100

Data from: Virus infection influences host plant interactions with non-vector herbivores and predators

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publicAug 2015View details →
dryad32/100

Data from: Environmentally dependent host-pathogen and vector-pathogen interactions in the barley yellow dwarf virus pathosystem

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publicJun 2016View details →
dryad32/100

Data from: Thermal variability and plasticity drive the outcome of a host-pathogen interaction

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publicOct 2019View details →
dryad32/100

Host-Parasite biogeographic interactions: modelling the distribution of Phyllotis xanthopygus rodents complex and their flea assemblage using the favorability function

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publicAug 2025View details →
dryad32/100

Data from: Migratory divides and their consequences for dispersal, population size and parasite-host interactions

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publicApr 2011View details →
dryad28/100

Data from: Starving the enemy? Feeding behavior shapes host-parasite interactions

The loss of appetite that typically accompanies infection or the mere exposure to parasites is traditionally considered a negative by-product of infection, benefitting neither the host nor the parasite. In fact, numerous medical and veterinary practices directly or indirectly subvert this 'illness-mediated anorexia'. However, the ecological factors that influence it, its effects on disease outcomes, or why it evolved remains poorly resolved. We explore how hosts use anorexia to defend against infection and how parasites can manipulate anorexia to enhance transmission. Then, we use a coevolutionary model to illustrate how changes to anorexia could alter disease dynamics and virulence evolution. Anorexia could be exploited to improve host health and disease management; we propose an interdisciplinary approach to minimize unintended consequences.

opencc-zeroAug 2020View details →
dryad28/100

Generalised host-plant feeding can hide sterol specialised foraging behaviours in bee-plant interactions

<p><span><span><span><span><span><span><span><span><span><span><span>Host-plant selection is a key factor driving the ecology and evolution of insects. While the majority of phytophagous insects are highly host specific, generalist behaviour is quite widespread among bees and presumably involves physiological adaptations that remain largely unexplored. However floral visitation patterns suggest that generalist bees do not forage randomly on all available resources. While resource availability and accessibility as well as nectar composition have been widely explored, pollen chemistry could also have an impact on the range of suitable host-plants. This study focuses on particular pollen nutrients that cannot be synthesised de novo by insects but are key compounds of cell membranes and the precursor for moulting process: the sterols. We compared the sterol composition of pollen from the main host-plants of three generalist bees: <i>Anthophora plumipes</i>,<i>Colletes cunicularius</i>and <i>Osmia cornuta</i>, as well as one specialist bee <i>Andrena vaga</i>. We also analysed the sterols of their brood cell provisions, the tissues of larvae and non-emerged females to determine which sterols are used by the different species. Our results show that sterols are not used accordingly to foraging strategy: Both the specialist species <i>Andrena vaga</i>and the generalist species <i>Colletes cunicularius</i>might metabolise a rare C<sub>27</sub>sterol, while the two generalist species <i>Anthophora plumipes</i>and <i>Osmia</i><i>cornuta</i>might rather use a very common C<sub>28</sub>sterol. Our results suggest that shared sterolic compounds among plant species could facilitate the exploitation of multiple host-plants by <i>A. plumipes</i>and <i>O. cornuta</i>whereas the generalist <i>C. cunicularius</i>might be more constrained due to its physiological requirements of a more uncommon dietary sterol. Our findings suggest that a bee displaying a generalist foraging behaviour may sometimes hide a sterol-specialised species. This evidence challenges the hypothesis that all generalist free-living bee species are all able to develop on a wide range of different pollen types.</span></span></span></span></span></span></span></span></span></span></span></p>

opencc-zeroNov 2020View details →
dryad28/100

Data from: Selection mosaics differentiate Rhizobium–host plant interactions across different nitrogen environments

The nature and direction of coevolutionary interactions between species is expected to differentiate among distinct environments. Consequently, locally coevolved symbiotic traits would be well matched in similar environments, but mismatched elsewhere. In a classic mutualistic tradeoff, rhizobia provide nitrogen (N) to legume host plants in return for photosynthates. Despite earlier predictions, there is little evidence so far that spatial differences in soil N content mediate the coevolutionary outcome of the legume–Rhizobium mutualism. To test the existence of such selection mosaics, different genotypes of Vicia cracca and Rhizobium leguminosarum originating from spatially and environmentally highly differentiated sites were cross inoculated across different soil N regimes. In accordance with theoretical predictions, we found highly significant effects of genotype by genotype by environment (G× G × E) interactions, on both nodulation and plant growth, even when R. leguminosarum genotypes showed high genetic similarity. Our results show that the trajectory of the coevolutionary interactions between rhizobia and legumes is differentiated across different environments, and that selection mosaics may play an important role in shaping differences in the genetic composition of rhizobial populations.

opencc-zeroDec 2015View details →
dryad28/100

Data from: Interactions between host sex and age of exposure modify the virulence-transmission trade-off

The patterns of immunity conferred by host sex or age represent two sources of host heterogeneity that can potentially shape the evolutionary trajectory of disease. With each host sex or age encountered, a pathogen's optimal exploitative strategy may change, leading to considerable variation in expression of pathogen transmission and virulence. To date, these host characteristics have been studied in the context of host fitness alone, overlooking the effects of host sex and age on the fundamental virulence-transmission trade-off faced by pathogens. Here we explicitly address the interaction of these characteristics and find that host sex and age at exposure to a pathogen affect age-specific patterns of mortality and the balance between pathogen transmission and virulence. When infecting age-structured male and female Daphnia magna with different genotypes of Pasteuria ramosa, we found that infection increased mortality rates across all age classes for females, whereas mortality only increased in the earliest age class for males. Female hosts allowed a variety of trade-offs between transmission and virulence to arise with each age and pathogen genotype. In contrast, this variation was dampened in males, with pathogens exhibiting declines in both virulence and transmission with increasing host age. Our results suggest that differences in exploitation potential of males and females to a pathogen can interact with host age to allow different virulence strategies to coexist, and illustrate the potential for these widespread sources of host heterogeneity to direct the evolution of disease in natural populations.

opencc-zeroDec 2016View details →
dryad28/100

Data from: Evolving interactions between diazotrophic cyanobacterium and phage mediate nitrogen release and host competitive ability

Interactions between nitrogen-fixing (i.e. diazotrophic) cyanobacteria and their viruses, cyanophages, can have large-scale ecosystem effects. These effects are mediated by temporal alterations in nutrient availability in aquatic systems owing to the release of nitrogen and carbon sources from cells lysed by phages, as well as by ecologically important changes in the diversity and fitness of cyanobacterial populations that evolve in the presence of phages. However, ecological and evolutionary feedbacks between phages and nitrogen-fixing cyanobacteria are still relative poorly understood. Here, we used an experimental evolution approach to test the effect of interactions between a common filamentous, nitrogen-fixing cyanobacterium (Nodularia sp.) and its phage on cellular nitrogen release and host properties. Ecological, community-level effects of phage-mediated nitrogen release were tested with a phytoplankton bioassay. We found that cyanobacterial nitrogen release increased significantly as a result of viral lysis, which was associated with enhanced growth of phytoplankton species in cell-free filtrates compared with phage-resistant host controls in which lysis and subsequent nutrient release did not occur after phage exposure. We also observed an ecologically important change among phage-evolved cyanobacteria with phage-resistant phenotypes, a short-filamentous morphotype with reduced buoyancy compared with the ancestral long-filamentous morphotype. Reduced buoyancy might decrease the ability of these morphotypes to compete for light compared with longer, more buoyant filaments. Together, these findings demonstrate the potential of cyanobacteria–phage interactions to affect ecosystem biogeochemical cycles and planktonic community dynamics.

opencc-zeroDec 2015View details →
dryad28/100

Data from: Learned parasite avoidance is driven by host personality and resistance to infection in a fish–trematode interaction

Cognitive abilities related to the assessment of risk improve survival. While earlier studies have examined the ability of animals to learn to avoid predators, learned parasite avoidance has received little interest. In a series of behavioural trials with the trematode parasite Diplostomum pseudospathaceum, we asked whether sea trout (Salmo trutta trutta) hosts show associative learning in the context of parasitism and if so, whether learning capacity is related to the likelihood of infection mediated through host personality and resistance. We show that animals are capable of learning to avoid visual cues associated with the presence of parasites. However, avoidance behaviour ceased after the likely activation of host resistance following consecutive exposures during learning, suggesting that resistance to infection outweighs avoidance. Further, we found a positive relationship between learning ability and boldness, suggesting a compensation of risky lifestyles through increased investment in cognitive abilities. By contrast, an increased risk of infection due to low resistance was not balanced by learning ability. Instead, these traits were positively related, which may be explained by inherent physiological qualities controlling both traits. Overall, the results demonstrate that parasitism, in addition to other biological interactions such as predation, is an important selective factor in the evolution of animal cognition.

opencc-zeroDec 2015View details →
dryad28/100

Data from: Multiple-strain infections of borrelia afzelii: a role for within-host interactions in the maintenance of antigenic diversity?

Genetically diverse infections are common but little is known about what effects coinfecting strains have on each other in natural host-parasite systems. To explore the nature and consequences of interactions in the wild, we studied the tick-transmitted bacterium Borrelia afzelii in one of its main reservoir hosts, the bank vole Myodes glareolus. We measured overall infection intensity with quantitative polymerase chain reaction (PCR) and resolved the composition of multiple infections using strain-specific PCR assays targeting the ospC gene (which encodes an immunodominant surface protein). We found seven different strains, as defined by ospC genotype. There was little evidence for interactions affecting infection intensities, but strains were highly aggregated (i.e., there were more multiple infections than expected from random co-occurrence). Moreover, there was a positive correlation between the difference at the amino acid level between two OspC types and their degree of association. Overall, the observed patterns suggest that facilitation is more important than competition in this system and that more diverse infections have an advantage in establishing and/or maintaining infection. We propose that this advantage is one of the factors that favors antigenic diversity.

opencc-zeroDec 2012View details →
dryad28/100

Data from: Strong specificity in the interaction between parasitoids and symbiont-protected hosts

Coevolution between hosts and parasites may promote the maintenance of genetic variation in both antagonists by negative-frequency-dependence if the host-parasite interaction is genotype-specific. Here we tested for specificity in the interaction between parasitoids (Lysiphlebus fabarum) and aphid hosts (Aphis fabae) that are protected by a heritable defensive endosymbiont, the γ-proteobacterium Hamiltonella defensa. Previous studies reported a lack of genotype-specificity between unprotected aphids and parasitoids, but suggested that symbiont-conferred resistance might exhibit a higher degree of specificity. Indeed, in addition to ample variation in host resistance as well as parasitoid infectivity, we found a strong aphid clone-by-parasitoid line interaction on the rates of successful parasitism. This genotype-specificity appears to be mediated by H. defensa, highlighting the important role that endosymbionts can play in host-parasite coevolution.

opencc-zeroDec 2011View details →
dryad28/100

Data from: Microbiome interactions shape host fitness

Gut bacteria can affect key aspects of host fitness, such as development, fecundity, and lifespan, while the host, in turn, shapes the gut microbiome. However, it is unclear to what extent individual species versus community interactions within the microbiome are linked to host fitness. Here, we combinatorially dissect the natural microbiome of Drosophila melanogaster and reveal that interactions between bacteria shape host fitness through life history tradeoffs. Empirically, we made germ-free flies colonized with each possible combination of the five core species of fly gut bacteria. We measured the resulting bacterial community abundances and fly fitness traits, including development, reproduction, and lifespan. The fly gut promoted bacterial diversity, which, in turn, accelerated development, reproduction, and aging: Flies that reproduced more died sooner. From these measurements, we calculated the impact of bacterial interactions on fly fitness by adapting the mathematics of genetic epistasis to the microbiome. Development and fecundity converged with higher diversity, suggesting minimal dependence on interactions. However, host lifespan and microbiome abundances were highly dependent on interactions between bacterial species. Higher-order interactions (involving three, four, and five species) occurred in 13–44% of possible cases depending on the trait, with the same interactions affecting multiple traits, a reflection of the life history tradeoff. Overall, we found these interactions were frequently context-dependent and often had the same magnitude as individual species themselves, indicating that the interactions can be as important as the individual species in gut microbiomes.

opencc-zeroDec 2017View details →
zenodo28/100

FIGURE 8 in Description and host interactions of a new species of Exetasis Walker (Diptera: Acroceridae), with a key to species of the genus

FIGURE 8. Exetasis jujuyensis Gillung sp. nov. pupa. A. dorsal view; B. lateral view.

opennotspecifiedDec 2013View details →
zenodo28/100

FIGURE 5 in Description and host interactions of a new species of Exetasis Walker (Diptera: Acroceridae), with a key to species of the genus

FIGURE 5. Acanthoscurria sternalis, dead spider showing the parasitoid's emergence opening.

opennotspecifiedDec 2013View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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