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310 results for “host use”
Fig. 1 in Redescription And New Host Record Of Diplostamenides Sciaenae (Monogenea, Microcotylidae) And Its Phylogenetic Status Using Molecular Markers
Fig. 1. Diplostamenides sciaenae: A — whole mount (ventral view): OS, oral sucker; P, pharyn×; OE, oesophagus; GA, genital atrium; IC, intestinal caecum; VI, vitellarium; H, haptor; C, clamp B — reproductive system: V, vas deferens; VD, vitelline duct; O, ovary; CVD, common vitelline duct; GIC, genitointestinal canal; OD, oviduct; OT, ootype; T, testes C — genital atrium and spines: AS, atrial spines; D — clamp and associated sclerites: SMD, scleritum marginal dorsale; SMV, scleritum marginal ventrale; SM, Scleritum median; SOB, scleritum obliqum basale; ETD, extreme terminal dorsale; ETV, extreme terminal ventrale.
Fig. 2 in Redescription And New Host Record Of Diplostamenides Sciaenae (Monogenea, Microcotylidae) And Its Phylogenetic Status Using Molecular Markers
Fig. 2. Diplostamenides sciaenae digital phototmicrographs (present study): A — whole mount; B — clamp and associated sclerites; C — gential atrium and spines; D — anterior region with oral suckers, pharyn× and oesophagus. Abbreviations are provided in figure 1.
Fig. 4 in The marine myxosporean Sigmomyxa sphaerica (Thélohan, 1895) gen. n., comb. n. (syn. Myxidium sphaericum) from garfish (Belone belone (L.)) uses the polychaete Nereis pelagica L. as invertebrate host
Fig. 4 Phylogenetic affinities of S. sphaerica among related members of the marine clade of Myxosporea. S. sphaerica is closest related to Ellipsomyxa spp., and these two genera represent a sister group to M. queenslandicus incertae sedis in a well-supported clade. Other Myxidium spp. in the marine clade are not closely related to S. sphaerica, including M. laticurvum (JN033229, new sequence) and M. bergense from the type host P. virens in Norway (JN033231, new sequence). All new sequences in bold. Clade support values: upper, MrBayes posterior probabilities (in percent); middle, maximum likelihood bootstrap (N=100) support values (Paup); lower, maximum parsimony (Mega)
Fig. 1 in The marine myxosporean Sigmomyxa sphaerica (Thélohan, 1895) gen. n., comb. n. (syn. Myxidium sphaericum) from garfish (Belone belone (L.)) uses the polychaete Nereis pelagica L. as invertebrate host
Fig. 1 Plasmodia and myxospores of S. sphaerica from the gallbladder of B. belone. a Plasmodium (flattened) without visible indication of sporogony, showing distinction between ecto- and endoplasm. b Sporulated plasmodium (flattened) showing spores in valvular view, vacuolate appearance and refractive granules. Note that any polar capsule lengths taken in valvular view may be erroneously short due to their oblique orientation in the spores. c Spore in sutural view. d, e Spores as seen in the focal plane of one polar capsule, showing polar filament coils and the valvular extensions associated with the protruding part of the capsules. Scale bars a, b 10 μm, c, d 5 μm
Fig. 3 in The marine myxosporean Sigmomyxa sphaerica (Thélohan, 1895) gen. n., comb. n. (syn. Myxidium sphaericum) from garfish (Belone belone (L.)) uses the polychaete Nereis pelagica L. as invertebrate host
Fig. 3 Actinospores of S. sphaerica in naturally infected N. pelagica from northern Øresund, Denmark. Interference contrast, to same scale. a Apical and lateral views of free actino-spores. b Lateral views showing the three nuclei of the shell valve cells (arrows) and the two nuclei of the sporoplasm cells (arrowheads). Scale bar 5 μm
Fig. 5 in The marine myxosporean Sigmomyxa sphaerica (Thélohan, 1895) gen. n., comb. n. (syn. Myxidium sphaericum) from garfish (Belone belone (L.)) uses the polychaete Nereis pelagica L. as invertebrate host
Fig. 5 Schematic illustration of the life cycle of S. sphaerica. The polychaete N. pelagica acts as the invertebrate hosts and the garfish B. belone acts as the fish hosts. a Actinospore, b myxospore. Not to scale
SI Figure 2: Compositional differences among bacterial microinvertebrate external and internal microbiomes as well as mats they were isolated from using Bray Curtis distance matrix visualized with a NMDS ordination. Circles indicate each community and stars show centroids of microbiome types for each animal host. All host microbiomes (internal and external) are distinct from mat communities (P<0.05), but external microbiomes are more similar to mats than internal microbiomes are to mats. in External and internal microbiomes of Antarctic nematodes are distinct, but more similar to each other than the surrounding environment
SI Figure 2: Compositional differences among bacterial microinvertebrate external and internal microbiomes as well as mats they were isolated from using Bray Curtis distance matrix visualized with a NMDS ordination. Circles indicate each community and stars show centroids of microbiome types for each animal host. All host microbiomes (internal and external) are distinct from mat communities (P<0.05), but external microbiomes are more similar to mats than internal microbiomes are to mats.
SI Figure 1: Dispersion values (a boxplot using distance to centroids based on Bray Curtis distance matrix) of external and internal bacterial microbiome composition for different hosts. In a mixed linear model, microinvertebrates did not significantly impact dispersion (P=0.44), but microbiome type did (P=0.03). Pairwise contrasts show that while external microbiomes of P. murrayi and Tardigrada are more variable than their internal microbiomes, E. antarcticus external and internal microbiomes are equally variable. in External and internal microbiomes of Antarctic nematodes are distinct, but more similar to each other than the surrounding environment
SI Figure 1: Dispersion values (a boxplot using distance to centroids based on Bray Curtis distance matrix) of external and internal bacterial microbiome composition for different hosts. In a mixed linear model, microinvertebrates did not significantly impact dispersion (P=0.44), but microbiome type did (P=0.03). Pairwise contrasts show that while external microbiomes of P. murrayi and Tardigrada are more variable than their internal microbiomes, E. antarcticus external and internal microbiomes are equally variable.
Fig. 2 in Host Ant Use Of Maculinea Teleius In The Carpathian Basin (Lepidoptera: Lycaenidae)
Fig. 2. The mean number (± SE) of M. teleius specimens found in nests of the different Myrmica ant species combining all data. Standard errors are based on a General Linear Model with negative bino-
Fig. 1 in Host Ant Use Of Maculinea Teleius In The Carpathian Basin (Lepidoptera: Lycaenidae)
Fig. 1. The investigated sites and the proportion of M. teleius specimens found in nests of different Myrmica species (see Table 2 for more details and for a key to site codes)
Figure 3 in Host conservation through their parasites: molecular surveillance of vector-borne microorganisms in bats using ectoparasitic bat flies
Figure 3. Comparison of detected microorganism prevalence (prevalence of infection) between bats and bat flies. Different bars represent hosts (black), all bat flies (dark grey), and consensus fly results, meaning that at least one infected fly individual was present on the host (light grey).
Figure 2 in Host conservation through their parasites: molecular surveillance of vector-borne microorganisms in bats using ectoparasitic bat flies
Figure 2. Prevalence of Bartonella spp., Polychromophilus spp., and Trypanosoma spp. infection in nycteribiid flies collected from 28 bats, which carried between 2 and 7 flies. Black: all flies are infected, dark grey: all flies are non-infected, light grey: both infected and non-infected flies occurred on the same host.
Figure 1 in Host conservation through their parasites: molecular surveillance of vector-borne microorganisms in bats using ectoparasitic bat flies
Figure 1. Number of detected vector-borne microorganisms in bats (A) and bat flies (B). Black colour corresponds to Miniopterus natalensis (A), and Nycteribia schmidlii scotti (B), whereas grey shows Miniopterus schreibersii (A) and Nycteribia schmidlii (B).
Fig. 1 in The ectoparasitoid Scleroderma guani (Hymenoptera: Bethylidae) uses innate and learned chemical cues to locate its host, larvae of the pine sawyer Monochamus alternatus (Coleoptera: Cerambycidae)
Fig. 1. Numbers of naïve Scleroderma guani females responding to various odor sources presented in pairs in a Y-tube olfactometer. W = wood diet, WF = mixture of wood diet and Monochamus alternatus frass, S = sawdust from M. alternatus galleries, L = 10 M. alternatus 3rd instars, and A = clean air. *: P ≤ 0.05, **: P ≤ 0.01. Numbers indicate numbers of wasps responding.
Fig. 4 in The ectoparasitoid Scleroderma guani (Hymenoptera: Bethylidae) uses innate and learned chemical cues to locate its host, larvae of the pine sawyer Monochamus alternatus (Coleoptera: Cerambycidae)
Fig. 4. Numbers of Scleroderma guani females responding to the odor of Monochamus alternatus 3rd instars (L) versus clean air (A) in a Y-tube olfactometer. Females were either naïve (N), previously exposed to gallery sawdust (S), or with previous exposure to the odor of M. alternatus larvae (L). *: P ≤ 0.05, **: P ≤ 0.01.
Fig. 3 in The ectoparasitoid Scleroderma guani (Hymenoptera: Bethylidae) uses innate and learned chemical cues to locate its host, larvae of the pine sawyer Monochamus alternatus (Coleoptera: Cerambycidae)
Fig. 3. Numbers of naïve Scleroderma guani females responding to the odor of 10 Monochamus alternatus 1st, 3rd, or 5th instars (L) versus clean air (A) in a Y-tube olfactometer. *: P ≤ 0.05, **: P ≤ 0.01.
Fig. 2 in The ectoparasitoid Scleroderma guani (Hymenoptera: Bethylidae) uses innate and learned chemical cues to locate its host, larvae of the pine sawyer Monochamus alternatus (Coleoptera: Cerambycidae)
Fig. 2. Relative proportions of organic compounds identified in headspace volatiles from Monochamus alternatus larvae and a mixture of wood diet, sawdust, and frass.
Fig. 7 in Using occupancy models to investigate the prevalence of ectoparasitic vectors on hosts: An example with fleas on prairie dogs
Fig. 7. Probabilities of flea occupancy (W) for black-tailed prairie dogs (Cynomys ludovicianus) in differing body condition during May–September 2011, at the Vermejo Park Ranch, New Mexico. The solid line depicts estimates of occupancy and dotted lines depict 95% confidence intervals.
Fig. 4 in Using occupancy models to investigate the prevalence of ectoparasitic vectors on hosts: An example with fleas on prairie dogs
Fig. 4. Model-averaged probabilities for detecting fleas (p) on a black-tailed prairie dog (Cynomys ludovicianus) during May–September 2011, at the Vermejo Park Ranch, New Mexico. Bars depict 95% confidence intervals.
Fig. 3 in Using occupancy models to investigate the prevalence of ectoparasitic vectors on hosts: An example with fleas on prairie dogs
Fig. 3. Indices for and estimates of flea prevalence on prairie dogs inside old colonies. The estimates are model-averaged values from occupancy models that accounted for imperfect detection of fleas. The naïve indices do not consider imperfect detection. Gains in precision (95% confidence interval) when estimating prevalence are depicted on the right. Confidence intervals for the estimates of prevalence during July–September are very small.
ScienceDex guides
Understand access before you commit
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.