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447 results for “parasitic nematode”
Figure 4 in Genetic variation within a species of parasitic nematode, Skrjabingylus chitwoodorum, in skunks
Figure 4: Median joining network showing the relationships among haplotypes of 44 samples of Skrjabingylus chitwoodorum from hosts Mephitis mephitis and Spilogale putorius interrupta using COI mtDNA. Sizes of solid black circles correlate to shared haplotypes among multiple counties. Small open circles represent hypothetical haplotypes and ticks on branches represent number of mutational steps.
Figure 2 in Genetic variation within a species of parasitic nematode, Skrjabingylus chitwoodorum, in skunks
Figure 2: Texas map showing the 25 counties represented in the analysis of Skrjabingylus within Mephitis mephitis hosts. Sample size included if greater than one.
Figure 1 in Genetic variation within a species of parasitic nematode, Skrjabingylus chitwoodorum, in skunks
Figure 1: Life cycle of Skrjabingylus chitwoodorum in Mephitis mephitis. Large gray arrows correspond to the movement of Skrjabingylus to an intermediate or paratenic host. Large black arrows correspond to the movement to the definitive host. Smaller arrows correspond to a molt occurring and the larva progressing to the next juvenile phase.
Figure 6 in Depth distribution of plant-parasitic nematodes on bentgrass golf greens in Missouri and Indiana
Figure 6: PCR results using Meloidogyne-specific and M. naasi and M. marylandi-specific primers. DL: DNA Ladder; 1: Meloidogyne spp. (DNA ID:9); 2: M. naasi (DNA ID:9); 3: Meloidogyne spp. (DNA ID:4); 4: M. marylandi (DNA ID:4); and 5: Meloidogyne spp.(DNA ID:4).
Figure 3 in Depth distribution of plant-parasitic nematodes on bentgrass golf greens in Missouri and Indiana
Figure 3: PCR results using Hoplolaimus-specific and H. stephanus, H. columbus and H. galeatus-specific primers. DL: DNA Ladder; 1: Hoplolaimus spp. (DNA ID:10); 2: H. stephanus (DNA ID:10); 3: H. columbus (DNA ID:10); 4 H. galeatus (DNA ID:10); 5: Hoplolaimus spp. (DNA ID:3); 6: H. stephanus (DNA ID:3); 7: H. columbus (DNA ID:3); 8 H. galeatus (DNA ID:3); 9: Hoplolaimus spp. (DNA ID:4); 10: H. stephanus (DNA ID:4); 11: H. columbus (DNA ID:4); and 12 H. galeatus (DNA ID:4).
Figure 2 in Depth distribution of plant-parasitic nematodes on bentgrass golf greens in Missouri and Indiana
Figure 2: Phylogeny of the rDNA ITS region of Hoplolaimus spp. isolated from golf putting greens. Phylogenetic trees were constructed with the neighbor-joining algorithm using the Kimura two-parameter model with Litylenchus spp. (LC383724) as the outgroup. Bootstrap values are based on 1000 resamplings of the data set. DNAID codes correlate to Table 2.
Figure 1 in Depth distribution of plant-parasitic nematodes on bentgrass golf greens in Missouri and Indiana
Figure 1: Distribution of plant-parasitic nematode species sampled from creeping bentgrass putting greens in Missouri and eastern Kansas in 2021 and Indiana in 2022 in two independent pie charts. Samples were collected during the months of April, June, August and October of 2021 and 2022, respectively. "n" indicates total PPNs represented within each chart.
Figure 3 in Plant-Parasitic Nematodes and their Effects on Ornamental Plants: A Review
Figure 3: Hot water dipping tank (A) and the interior of the tank (B) at a commercial nursery in Michigan.
Figure 4 in Depth distribution of plant-parasitic nematodes on bentgrass golf greens in Missouri and Indiana
Figure 4: Scanning-electron micrographs of a lance nematode specimen collected form Site 5. A) four lip annules; B) the presence of an epiptygma; C) 25 longitudinal striae on the basal lip annule; and D) four lateral incisures.
Figure 5 in Depth distribution of plant-parasitic nematodes on bentgrass golf greens in Missouri and Indiana
Figure 5: Phylogeny of molecularly characterized Meloidogyne spp. isolated from golf coursed based on D2/D3 28S genes. phylogenetic trees were constructed with the neighborjoining algorithm using the Kimura two-parameter model with Litylenchus spp. (LC383724) as the outgroup. Bootstrap values are based on 1000 resamplings of the data set and displayed near branch nodes. DNAID codes correlate to Table 2.
Figure 2 in Plant-Parasitic Nematodes and their Effects on Ornamental Plants: A Review
Figure 2: Light micrograph of an adult male (A) and head (B) of Aphelenchoides spp. extracted from Heliopsis spp. leaves. Angular lesions (C,D) on the leaves of two varieties of Heliopsis spp. infected with Aphelenchoides spp.
Figure 1 in Plant-Parasitic Nematodes and their Effects on Ornamental Plants: A Review
Figure 1: Light micrograph of Meloidogyne hapla second-stage juvenile (A) extracted from a daylily field at a commercial nursery in Michigan. Daylily roots were taken from the same field showing galling and stunting due to M. hapla infection (B) compared to healthy roots (C).
Figure 1 in Impact of parasitism by nematodes on gonadal anatomy of Pagellus erythrinus (L.)
Figure 1. – Pathological effect observed macroscopically on the examined teleost fish of P. erythrinus. A-E: Ovaries of Pagellus erythrinus infested by the nematodes Philometra filiformis; P. filiformis was found inside the ovaries; F: P. filiformis external form. o: ovaries, white arrow: P. filiformis. Scale bars: A, B, D, E = 1 cm; C = 0.5 cm; F = 0.10 cm.
Fig. 4 in Nematode-coccidia parasite co-infections in African buffalo: Epidemiology and associations with host condition and pregnancy
Fig. 4. Predicted mean and standard error body condition scores show associations with infection presence and season, with co-infected buffalo in much lower condition in the early wet season (Table S2). Coccidia infection status is represented with C– and C+; nematode infection status is represented with N– and N+.
Fig. 5 in Nematode-coccidia parasite co-infections in African buffalo: Epidemiology and associations with host condition and pregnancy
Fig. 5. Season and co-infection differences in nematode aggregation. (a) Aggregation patterns in calves (b) and non-calves. (c) In non-calves, the distribution of nematode parasites in the late wet season shows that k is not significantly different in coccidia positive vs. negative buffalo. (d) In the early wet season coccidia positive buffalo have a truncated distribution, resulting in significantly reduced aggregation. Arrows indicate nematode intensity values in the tail of the distribution of coccidia negative buffalo. Coccidia infection status is represented with C– and C+.
Fig. 3 in Nematode-coccidia parasite co-infections in African buffalo: Epidemiology and associations with host condition and pregnancy
Fig. 3. Patterns of parasite egg/oocyst counts with co-infection for (a) nematodes and (b) coccidia. (c), the mean nematode intensity in calves is higher in early wet season than in the late wet season independent of co-infection with coccidia. (d) Co-infection with coccidia alters the seasonal patterns of nematode intensity in non-calf buffalo (>1 year, juvenile through senescent). Calf vs. non-calf division is based on model paramters (Table 1).
Fig. 2 in Nematode-coccidia parasite co-infections in African buffalo: Epidemiology and associations with host condition and pregnancy
Fig. 2. Age specific patterns of parasite prevalence with co-infection. (a) Prevalence of nematodes is higher in buffalo co-infected with coccidia (C+) compared to coccidia negative buffalo (C–) in all age categories (N = 33, 318, 166, 272, 162 for calf, juvenile, subadult, adult and senescent C– buffalo; N = 58, 237, 55, 54, 20 for C+ buffalo). (b) Prevalence of coccidia is higher in buffalo co-infected with nematodes (N+) compared to nematode negative buffalo (N–) in calf, juvenile, subadult, and senescent buffalo but not adult buffalo (N = 13, 107, 92, 144, 56 for calf, juvenile, subadult, adult and senescent N– buffalo; N = 38, 448, 129, 208, 100 for N+ buffalo).
Fig. 1 in Nematode-coccidia parasite co-infections in African buffalo: Epidemiology and associations with host condition and pregnancy
Fig. 1. Age, sex and seasonal patterns of infection. Both parasites had the highest (a) prevalence (sample size for calf, juvenile, subadult, adult, and senescent respectively: N = 91, 555, 221, 326, 182) and (b) mean intensity in calves and juveniles (nematode N = 78, 448, 129, 208, 100; coccidia N = 58, 237, 55, 60, 14). (c) Males had lower estimated nematode prevalence and (d) higher estimated coccidia intensity compared to female buffalo. (e) The estimated nematode prevalence, coccidia prevalence, and (f) mean coccidia intensity were all increased in the early wet season compared to the late wet season. ‡Indicates significant differences at p <0.05.
Figure 3 in Four new records of plant parasitic nematodes from Iran
Figure 3. Criconemoides morgensis: (A) anterior end of the body, (B) ovary, (C) body shape, (D–F) anastomoses, (G, H) variation of the tail.
Figure 4 in Four new records of plant parasitic nematodes from Iran
Figure 4. Paratylenchus vandenbrandei: (A) anterior end of the body, (B) lip region, (C) ovary, (D) body shape, (E, F) variation of the tail, (G) lateral lines with deirid.
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.