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87 results for “Cryptosporidium”
Fig. 2 in Detection and molecular characterization of Cryptosporidium species in wildcaught pet spiny-tailed lizards
Fig. 2. Phylogenetic relationships between Cryptosporidium sp. from the mastigures and other Cryptosporidium spp. The mid-point tree was generated with the neighbor-joining method using Tamura 3-parameter plus Gamma distribution. Nodal values represent boot strap values (> 50%) for neighbor-joining (left) and ML (right). Circle represents the major reptile-associated species. Bar represents the number of nucleotide substitutions per sites.
Fig. 3 in Detection and molecular characterization of Cryptosporidium species in wildcaught pet spiny-tailed lizards
Fig. 3. Phylogenetic relationships of Cryptosporidium detected from the Arabian blue mastigure and closely-related species/subtypes as inferred by a maximum likelihood analysis of concatenated sequences were constructed from the partial DNA sequences of SSU (left), actin (middle), and HSP70 (right) loci. Numbers represent the boot strap values for NJ (left) and ML (Right). Bar represents the number of nucleotide substitutions per sites. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in Detection and molecular characterization of Cryptosporidium species in wildcaught pet spiny-tailed lizards
Fig. 1. Histological findings of the deceased Arabian blue mastigure. (A) jejunoileum showing villous atrophy, muscle layer edema, and degenerated epithelial cells in the lumen. Bar = 500 μm. (B) Cryptosporidium appear as rounded purple structures (arrowheads) on the microvilli of the epithelial cells. HE staining. Bar = 50 μm. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 3 in Cryptosporidium cf. avium in an inland-bearded dragon (Pogona vitticeps) - A case report and review of the literature
Fig. 3. Relationship of the novel Cryptosporidium cf. avium taxa (in bold) from the faeces of the inland-bearded dragon with representative Cryptosporidium sequences, established based on a phylogenetic analysis of sequence data from a portion of the actin gene employing the neighbour-joining distance method. Branch supports are represented by neighbour-joining bootstrap percentages. C. andersoni was used as an outgroup.
Fig. 2 in Cryptosporidium cf. avium in an inland-bearded dragon (Pogona vitticeps) - A case report and review of the literature
Fig. 2. Relationship of the novel Cryptosporidium cf. avium taxa (in bold) from the faeces of the inland-bearded dragon with representative Cryptosporidium sequences, established based on a phylogenetic analysis of sequence data from a portion of the small subunit of nuclear ribosomal RNA gene (SSU) employing the neighbourjoining distance method. Branch supports are represented by neighbour-joining bootstrap percentages. C. andersoni was used as an outgroup.
Fig. 1 in Cryptosporidium cf. avium in an inland-bearded dragon (Pogona vitticeps) - A case report and review of the literature
Fig. 1. Sequence alignment of a partial region (124 bp) of SSU for selected Cryptosporidium sp. to verify the identity of the green iguana sequence from the Netherlands HM069184 (Kik et al., 2011) and the sequence from Cryptosporidium from an inland bearded dragon from Scotland MT074295 (Lewis et al., 2020). (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 2 in Molecular detection of Cryptosporidium parvum in wild rodents (Phyllotis darwini) inhabiting protected and rural transitional areas in north-central Chile
Fig. 2. Phylogram representing analysis of the 18 rRNA region. The evolutionary history was inferred with maximum likelihood method and the Tamura 3-parameter (T92) model with a discrete Gamma distribution (5 categories (+G)). Analysis contains sequences uploaded from GenBank (with Cryptosporidium species, host, country, and accessions numbers in brackets) and those obtained in the present study are shown in triangles (with ID isolate, host, site of sampling and country, and accessions numbers in brackets). Bootstrap values are represented as per cent of internal branches (1000 replicates), and values lower than 50 are hidden. The tree is drawn to scale, with branch lengths measured in the number of substitutions per site. Cryptosporidium muris was used to root the tree.
Fig. 1 in Molecular detection of Cryptosporidium parvum in wild rodents (Phyllotis darwini) inhabiting protected and rural transitional areas in north-central Chile
Fig. 1. Map of the Coquimbo region in Chile showing the two types of areas (i.e., Bosque Fray Jorge National Park - BFPNP [in green]; El Tangue Farm [in blue]) in which Darwin's leaf-eared mice (Phyllotis darwini) were sampled. In each area, 4 grids were established, and 200 capture points were allocated per grid. (UTM projection. Datum WGS84, Zone 19J).
Fig. 1 in Molecular detection and characterization of Giardia spp., Cryptosporidium spp., and Blastocystis in captive wild animals rescued from central Colombia
Fig. 1. Cryptosporidium species in wild animals kept in captivity. The chord diagram shows the relation between Cryptosporidium species and the order and species of infected animals.
Fig. 2 in Novel genotypes of Cryptosporidium and Enterocytozoon bieneusi detected in plateau zokors (Myospalax baileyi) from the Tibetan Plateau
Fig. 2. Phylogenetic relationships of E. bieneusi genotypes identified in the present study and other known genotypes deposited on GenBank was inferred by a maximum-likelihood phylogenetic analysis of ITS sequences using the Tamura 3-parameter model with 500 replicates. The Enterocytozoon hepatopenaei (GenBank: KR021167.1) was used as the outgroup. The blue triangle and squares indicate the novel genotypes identified in this study, respectively. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in Novel genotypes of Cryptosporidium and Enterocytozoon bieneusi detected in plateau zokors (Myospalax baileyi) from the Tibetan Plateau
Fig. 1. Phylogenetic relationships of Cryptosporidium sp. genotypes identified in the present study and other known genotypes and species on GenBank was inferred by a maximum-likelihood phylogenetic analysis of SSU rRNA gene sequences using the Tamura 3-parameter model and with 500 replicates. The Eimeria (GenBank: U40264.1) were used as the outgroup. The red circles and squares indicate the novel genotypes identified in this study. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Cryptosporidium datasets
<p>Version 1 of the <em>Cryptosporidium </em>dataset, to be used in deep learning models such as YOLO, for which in addition to the images there are labels in .txt files with the names of two parasites "Cryptosporidium" and "Giardia", which will serve as labels to be recognized by the model used. The next dataset has two sets of images, one with conventional optical microscopy images and one with phase contrast microscopy images, each with their respective labels. </p>
Cryptosporidium IFA tutorial
<p>Video tutorial for detection of<em> Cryptosporidium</em> spp. oocysts in fecal specimens.</p>
Cryptosporidium Nested-PCR on 18S rDNA Tutorial
<p>Video tutorial for<em> Cryptosporidium</em> spp. identification by nested-PCR on 18S rDNA locus.</p>
Fig. 1 in Systematic review of modifiable risk factors shows little evidential support for most current practices in Cryptosporidium management in bovine calves
Fig. 1 Study selection procedure
Data from: Multilocus patterns of genetic variation across Cryptosporidium species suggest balancing selection at the gp60 locus
Cryptosporidium is an apicomplexan protozoan that parasites most vertebrates, including humans. Its gp60 gene is functionally involved in its attachement to host's cells and its high level of genetic variation has made it the reference marker for sample typing in epidemiological studies. To understand the origin of such high diversity and to determine the extent to which this classification applies to the rest of the genome, we analysed the patterns of variation at gp60 and nine other nuclear loci in isolates of three Cryptosporidium species. Most loci showed low genetic polymorphism (πS < 1%) and similar levels of between-species divergence. Contrastingly, gp60 exhibited very different features: (i) it was nearly ten times more variable than the other loci, (ii) it displayed a significant excess of polymorphisms relative to between-species differences in a Maximum-likelihood Hudson-Kreitman-Aguadé test (iii) gp60 subtypes turned out to be much older than the species they were found in and (iv) showed a significant excess of polymorphic variants shared across species from random expectations. These observations suggest that this locus evolves under balancing selection, and specifically under negative frequency-dependent selection. Interestingly, genetic variation at the other loci cluster very well within the subtypes defined by gp60, which may provide new tools to understand the genome-wide patterns of genetic variation of the parasite in the wild. These results suggest that gp60 plays an active and essential role in the life cycle of the parasite and that genetic variation at this locus might be essential for the parasite's long-term success.
Anisakis Blastocystis Cryptosporidium Fish Prevalence
ClinicalTrials.gov study NCT02661074. IPD Sharing: NO. Countries: 1. Publications: 0.
Cryptosporidium Species in Sohag Governorate
ClinicalTrials.gov study NCT05208970. IPD Sharing: UNDECIDED. Countries: 1. Publications: 4.
Data from: Multilocus patterns of genetic variation across Cryptosporidium species suggest balancing selection at the gp60 locus
Open the record for dataset details and reuse information.
Dataset of Paper "Kinetic modeling of the synergistic thermal and spectral actions on the inactivation of Cryptosporidium parvum in water by sunlight"
<p>Dataset of Paper "Kinetic modeling of the synergistic thermal and spectral actions on the inactivation of Cryptosporidium parvum in water by sunlight"</p> <p>- Data of the experimental disinfection profiles for the viable <em>C. parvum</em> oocysts.</p>
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
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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
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