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Fig. 2 in First report of Phyllocoptes fructiphilus Keifer (Eriophyidae), the vector of the rose rosette virus, in Florida, USA
Fig. 2. Presence of Phyllocoptes fructiphilus in Leon County, Florida, USA, in (A) Feb 2019 and (B) Jul 2019. Orange dots indicate sites sampled that had P. fructiphilus. Gray dots indicate surveyed areas where no P. fructiphilus were found. (C) Average number of P. fructiphilus per rose sample. Samples were taken from sites in Leon County, Florida, on 14 Feb and 16 Jul 2019. Asterisks represent significant differences as calculated by pairwise t-tests of the 5 sites tested for P. fructiphilus during both mo. P-value <0.001.
Fig. 1 in First report of Phyllocoptes fructiphilus Keifer (Eriophyidae), the vector of the rose rosette virus, in Florida, USA
Fig. 1. (A) Symptoms of rose rosette disease: witches' broom, and (B) excessive thorn proliferation; (C) Phyllocoptes fructiphilus Keifer (female) from Leon County, Florida, USA: body (scale bar = 100 µm); (D) enlargement of P. fructiphilus prodorsal shield to show detail (scale bar = 20 µm).
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).
A plant virus differentially alters DNA methylation in two cryptic species of a hemipteran vector
<p>This study investigated DNA methylation patterns in two cryptic species (B and Q) of the sweet potato whitefly, <em>Bemisia tabaci</em> (Gennadius), following the acquisition of the tomato yellow curl virus, a single-stranded DNA virus. The methylation levels in genomic features such as promoters, gene bodies, and transposable elements in both cryptic species were described in this study. While overall trends were found to be similar, specific differences in methylation levels were observed. Virus-induced differentially methylated regions (DMRs) were associated with different genes in each cryptic species and were negatively correlated with differential gene expression. These DMRs were analyzed for changes in gene expression and alternative splicing, revealing clusters of hyper- and hypomethylated genes related to virus-vector interactions, immune functions, and detoxification processes. These methylation differences may help explain the distinct biological and physiological traits observed between the B and Q cryptic species.</p>
Fig. 1 in Thrips species (Thysanoptera: Thripidae) in Brazilian papaya (Brassicales: Caricaceae) orchards as potential virus vectors
Fig. 1. Location of the 20 papaya orchards sampled in the main Brazilian papaya-producing and -exporting region, Espírito Santo State, Brazil.
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.
Fig. 2 in Using occupancy models to investigate the prevalence of ectoparasitic vectors on hosts: An example with fleas on prairie dogs
Fig. 2. The robust design for occupancy models of flea prevalence on black-tailed prairie dogs (Cynomys ludovicianus). Prairie dogs were sampled during primary occasions in different months of the year (May–September 2012). Each primary occasion comprised three secondary occasions (combings) during which fleas might be detected (p = probability of detection, given presence). A prairie dog was ''open'' to colonization by fleas between primary occasions. Once a prairie dog was colonized, it was occupied by fleas during all subsequent primary occasions (thus, the extinction probability, E, was fixed at zero, once a prairie dog was occupied by fleas). Closure was assumed during the secondary occasions, but we used behavioral covariates to account for removal of fleas from hosts during each secondary combing (REMOVAL1 and REMOVAL2, see text). In the example encounter history, a '1' indicates that at least one flea was detected during a combing event, and a '0' indicates that no fleas were detected.
Fig. 5 in Using occupancy models to investigate the prevalence of ectoparasitic vectors on hosts: An example with fleas on prairie dogs
Fig. 5. Model-averaged probabilities of flea occupancy (W) and flea colonization (γ) for black-tailed prairie dogs (Cynomys ludovicianus) in old and young colonies, and natural and translocation colonies during May–September 2011, at the Vermejo Park Ranch, New Mexico (see Fig. 1 and text for colony descriptions). Bars depict 95% confidence intervals. We do not report estimates of colonization for September, because few prairie dogs were sampled in that month.
Fig. 1 in Using occupancy models to investigate the prevalence of ectoparasitic vectors on hosts: An example with fleas on prairie dogs
Fig. 1. Map of the study area within the Vermejo Park Ranch, Colfax County, New Mexico, showing old and young, and natural and translocation colonies of black-tailed prairie dogs (Cynomys ludovicianus). Gray areas indicate extent of prairie dog colonies in 2009.
Fig. 6 in Using occupancy models to investigate the prevalence of ectoparasitic vectors on hosts: An example with fleas on prairie dogs
Fig. 6. Probabilities of flea occupancy (W) and flea colonization (γ) for black-tailed prairie dogs (Cynomys ludovicianus) in plots with differing densities of prairie dogs during May–September 2011, at the Vermejo Park Ranch, New Mexico. Solid lines depict estimates and dotted lines depict 95% confidence intervals.
Рис. 1. КоΛичество макрокониΑий грибов роΑа Fusarium (% от общего чисΛа эΛементов морфоΛогии) на органах и в физиоΛогических жиΑкостях картофеΛьной коровки Fig. 1. Number of macroconidia of fungus species from the genus Fusarium (% of the total number of morphological elements) on organs and in physiological fluids of the potato ladybird beetle in On the vector characteristics of the potato ladybird beetle Henosepilachna Vigintioctomaculata (Motsch.) (Coleoptera, Coccinellidae) in the system "phytophagous insect - plant pathogen - plant"
Рис. 1. КоΛичество макрокониΑий грибов роΑа Fusarium (% от общего чисΛа эΛементов морфоΛогии) на органах и в физиоΛогических жиΑкостях картофеΛьной коровки Fig. 1. Number of macroconidia of fungus species from the genus Fusarium (% of the total number of morphological elements) on organs and in physiological fluids of the potato ladybird beetle
Fig. 2 in Molecular epidemiology of Theileria equi in horses and their association with possible tick vectors in the state of Rio de Janeiro, Brazil
Fig. 2 Real-time polymerase chain reaction analytical sensitivity, showing the amplification curves of plasmid DNA, containing the Theileria equi 18S rRNA gene (∼1,600 bp), in serial dilutions (3–30,000 copies)
Fig. 1 in Molecular epidemiology of Theileria equi in horses and their association with possible tick vectors in the state of Rio de Janeiro, Brazil
Fig. 1 Standard curve plotted from serial decimal dilutions of plasmid DNA, containing the Theileria equi 18S rRNA gene (∼1,600 bp). The quantification cycle (Cq) value obtained by real-time polymerase chain reaction using Taqman system was plotted as a function of the initial number of plasmid copies
Fig. 4 in Assessing the natural circulation of canine vector-borne pathogens in foxes, ticks and fleas in protected areas of Argentine Patagonia with negligible dog participation
Fig. 4. Maximum-likelihood tree based on the Tamura-Nei model of selected sequences from Hepatozoon sp. The name of the sequence indicates the GenBank accession number and host species. The percentage of trees in which the associated taxa clustered together (bootstrap values) is shown next to the branches.
Fig. 3 in Assessing the natural circulation of canine vector-borne pathogens in foxes, ticks and fleas in protected areas of Argentine Patagonia with negligible dog participation
Fig. 3. Abundance of Amblyomma tigrinum in grey foxes depending on the Hepatozoon infection status of the fox. (*) indicates significant differences.
Fig. 2 in Assessing the natural circulation of canine vector-borne pathogens in foxes, ticks and fleas in protected areas of Argentine Patagonia with negligible dog participation
Fig. 2. Abundance of Pulex irritans and Amblyomma tigrinum in grey foxes depending on the study area. (*) indicates significant differences.
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.