Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
237
datasets available to search
ShareScore release 0.9.0
Dataset results
237 results for “trypanosoma”
Fig. 1 in Phylogenetic position of the freshwater fish trypanosome, Trypanosoma ophiocephali (Kinetoplastida) inferred from the complete small subunit ribosomal RNA gene sequence
Fig. 1 The neighbor-joining tree of aquatic trypanosomes constructed from complete small subunit ribosomal RNA (SSrRNA) sequences indicating the systematic position of T. ophiocephali and phylogenetic relationships among the aquatic trypanosomes whose sequences are available. T. lewisi, T. theileri, and T. avium are taken as the outgroup. Bootstrap values are shown for the maximum parsimony/neighborjoining/Bayes analyses
Fig. 5 in Uncovering Trypanosoma spp. diversity of wild mammals by the use of DNA from blood clots
Fig. 5. Map of the distribution of the Trypanosoma spp. identified in this study. Thirteen different trypanosomes species/genotypes/MOTUs were identified, in single and mixed infection, in the blood clot of bats, carnivores and marsupials. The trypanosomes are distributed in five Brazilian biomes (Amazon Forest, Atlantic Forest, Cerrado, Pampa, and Pantanal). Each colored circle indicates different trypanosome species/genotypes/MOTUs. Abbreviations: Brazilian states: AC, Acre; ES, Espírito Santo; GO, Goiás; MS, Mato Grosso do Sul; PB, Paraíba; RJ, Rio de Janeiro; RS, Rio Grande do Sul.
Fig. 3. T in Uncovering Trypanosoma spp. diversity of wild mammals by the use of DNA from blood clots
Fig. 3. T. cruzi clade phylogenetic tree based on 18S (SSU) gene. The tree shows ten different species and genotypes identified in the blood clot of Carnivora, Chiroptera, and Didelphimorphia: T. cruzi (DTUs TcI, TcII and TcIII), T. dionisii, T. rangeli, T. sp. Neobats 2 and 3, T. janseni, and two novel MOTUs (T. sp. DID and T. sp. Neobat 4). The tree was inferred with neighbor-joining. The numbers at the nodes correspond, respectively, to NJ, ML and BI support values for the main branches. The scale-bar shows the number of nucleotide substitutions per site. Trypanosoma lewisi and Trypanosoma microti were used as outgroups.
Fig. 2 in Uncovering Trypanosoma spp. diversity of wild mammals by the use of DNA from blood clots
Fig. 2. Trypanosoma spp. identified in the blood clot of Carnivora, Chiroptera and Didelphimorphia. Each color indicates a different trypanosome species, genotype or mixed infections. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 4 in Uncovering Trypanosoma spp. diversity of wild mammals by the use of DNA from blood clots
Fig. 4. Lizard/snake/rodent/marsupial clade phylogenetic tree based on 18S (SSU) gene. The tree shows the three different species from the lizard/snake/rodent/ marsupial clade identified in the blood clot of Chiroptera and Didelphimorphia: T. cascavelli, T. gennari, and T. lainsoni. Tree inferred with neighbor-joining. The numbers at the nodes correspond, respectively, to NJ, ML and BI support values for the main branches. The scale-bar shows the number of nucleotide substitutions per site. Trypanosoma serpentis was used as outgroup.
Fig. 1 in Uncovering Trypanosoma spp. diversity of wild mammals by the use of DNA from blood clots
Fig. 1. Methodological algorithm employed for the identification of trypanosomes in blood clot samples.
Fig. 4 in Maintenance of Trypanosoma cruzi, T. evansi and Leishmania spp. by domestic dogs and wild mammals in a rural settlement in Brazil-Bolivian border
Fig. 4. Path analysis on the influences of contact and feeding on wild mammals in relation to infections of dogs surveyed at Urucum settlement, Corumbá, Mato Grosso do Sul, Brazil in 2015.
Fig. 3 in Maintenance of Trypanosoma cruzi, T. evansi and Leishmania spp. by domestic dogs and wild mammals in a rural settlement in Brazil-Bolivian border
Fig. 3. Path analysis on the influences of infections in relation to physical examination of dogs surveyed at Urucum settlement, Corumbá, Mato Grosso do Sul, Brazil in 2015.
Fig. 2 in Maintenance of Trypanosoma cruzi, T. evansi and Leishmania spp. by domestic dogs and wild mammals in a rural settlement in Brazil-Bolivian border
Fig. 2. Three-way Venn diagram illustrating coinfection, single infection or no infection of T. cruzi, T. evansi, and Leishmania spp. in 62 dogs from the Urucum settlement along the Brazil-Bolivia border. Total numbers and percentages are presented.
Fig. 1 in Maintenance of Trypanosoma cruzi, T. evansi and Leishmania spp. by domestic dogs and wild mammals in a rural settlement in Brazil-Bolivian border
Fig. 1. The Brazil-Bolivian border and Urucum settlement (Corumbá, MS) demonstrating the site of collections.
Molecular Epidemiology of Trypanosomatids and Trypanosoma cruzi in Primates from Peru
<p>Resultados de laboratorio para el diagnóstico de tripanosomatidos y <em>Tripanosoma cruzi </em>en primates Neotropicales en cautiverio y vida libre en Peru. El diagnostico se realizó mediante microscopia directa y PCR. Los resultados y metodología empleada fueron publicados en Aysanoa, E., Mayor, P., Mendoza, A.P. et al. EcoHealth (2017) 14: 732. https://doi.org/10.1007/s10393-017-1271-8</p>
Fig. 3 in Molecular characterization and phylogenetic analysis of Trypanosoma spp. detected from striped leaf-nosed bats (Hipposideros vittatus) in Zambia
Fig. 3. Species delimitation of Trypanosoma cruzi clade. Maximum likelihood phylogeny with outgroup (Trypanosoma lewisi) and with Baysian support values presented 17 linages recognized as species for the PTP analysis. Monophyletic groups in red indicated single putative species as well as terminal branches in blue.. (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 Molecular characterization and phylogenetic analysis of Trypanosoma spp. detected from striped leaf-nosed bats (Hipposideros vittatus) in Zambia
Fig. 1. Giemsa staining of Trypanosoma sp. from ZB17–105 in BSK-M medium Representative images of ZB17-105 in the BSK-M medium are displayed at the same magnification (x1000). (a,b) flagellates resembling promastigote forms. (c) possibly epimastigote forms under division. K: kinetoplast, N: nucleus, F: flagellum.
Fig. 3 in Trypanosoma spp. Neobats: Insights about those poorly known trypanosomatids
Fig. 3. Phylogenetic analysis of sequences of the 18S SSU rDNA gene of Crithidia detected in the blood clot of bats. Bayesian phylogenetic tree of Crithidia sequences using 18S SSU rDNA from blood clot of Carollia perspicillata captured at Guaribas Biological Reserve (EM 69) and Sturnira lilium at Guapiaçu Ecological Reserve (RM 872). Upper and lower numbers on tree nodes are posterior probabilities (>0.95) and bootstrap (>60), respectively. Accession numbers of sequences retrieved from Genbank are shown on tip labels. Yellow circle: Guaribas Biological Reserve, Mamanguape, Paraíba; green circle: Guapiaçu Ecological Reserve, Cachoeiras de Macacu, Rio de Janeiro. Sample number codes on the circles right represent parasite hosts. The decimal point divides the host genus (left number) and the host species (right number) codes. Host genera: 2. Carollia; 5. Sturnira. Host species: 2.2. Carollia perspicillata; 5.1. Sturnira lilium. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 2 in Trypanosoma spp. Neobats: Insights about those poorly known trypanosomatids
Fig. 2. Phylogenetic analysis of sequences of the 18S SSU rDNA gene of Trypanosoma detected in the blood clot of bats. ML phylogenetic tree of Trypanosoma sequences using 18S SSU rDNA from blood clot of bats captured at Guaribas Biological Reserve, Seringal Cachoeira, and Guapiaçu Ecological Reserve. Upper and lower numbers on tree nodes are posterior probabilities (>0.95) and bootstrap (>60), respectively. Accession numbers of sequences retrieved from Genbank are shown on tip labels. Localities are represented by colors - yellow circles: Guaribas Biological Reserve, Mamanguape, Paraíba; red circles: Seringal Cachoeira, Xapuri, Acre; and green circles: Guapiaçu Ecological Reserve, Cachoeiras de Macacu, Rio de Janeiro. Sample number codes on the circles right represent parasite hosts. The decimal point divides the host genus (left number) and the host species (right number) codes. Host genera: 1. Artibeus; 2. Carollia; 3. Desmodus; 4. Phyllostomus; 5. Sturnira. Host species: 1.1. Artibeus cinereus; 1.2. Artibeus lituratus; 1.3. Artibeus planirostris; 2.1. Carollia brevicauda; 2.2. Carollia perspicillata; 3.1. Desmodus rotundus; 4.1. Phyllostomus discolor; 4.2. Phyllostomus elongatus; 4.3. Phyllostomus hastatus; 5.1. Sturnira lilium. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in Trypanosoma spp. Neobats: Insights about those poorly known trypanosomatids
Fig. 1. Geographical location of the study areas. Bats were collected from 2014 to 2016 at three Brazilian Conservation Unities: Guaribas Biological Reserve, Mamanguape municipality, Paraíba; Seringal Cachoeira, Xapuri municipality, Acre; and Guapiaçu Ecological Reserve, Cachoeiras de Macacu municipality, Rio de Janeiro. (A) Political map of Brazil: areas filled in black indicate the study states; (B) Paraíba state; (C) Acre state; (D) Rio de Janeiro state. Red dots indicate the location of the Conservation Unities. Service Layer Credits Source: Esri, HERE, Garmin, © OpenStreetMap contributors, and the GIS user Community. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 4 in The neglected diversity: Description and molecular characterisation of Trypanosoma haploblephari Yeld and Smit, 2006 from endemic catsharks (Scyliorhinidae) in South Africa, the first trypanosome sequence data from sharks globally
Fig. 4. Bayesian Inference (BI)/Maximum Likelihood (ML) analysis showing the phylogenetic position of Trypanosoma haploblephari (Yeld and Smit, 2006) genotypes representing morphotypes A and B inferred from partial 18S rRNA gene sequences. Comparative sequences representing known Trypanosoma species, with Trypanosoma avium (KT728402) as outgroup, were obtained from GenBank. Tree topologies for both the BI and ML trees were identical; the nodal support values (BI/ML) are represented on the BI tree. Some branches have been shortened with each //= 0.04 substitutions per site.
Fig. 3 in The neglected diversity: Description and molecular characterisation of Trypanosoma haploblephari Yeld and Smit, 2006 from endemic catsharks (Scyliorhinidae) in South Africa, the first trypanosome sequence data from sharks globally
Fig. 3. Micrographs of Trypanosoma haploblephari (Yeld and Smit, 2006) morphotype A (A–C) and T. haploblephari morphotype B (D–F) in Giemsa-stained blood films of Haploblepharus pictus and Poroderma pantherinum, respectively. Blood stage with kinetoplast (k) and undulating membrane (μm) visible (A–C); slender forms (B, E); presence of a flagellum (f) in deeply stained individuals (C, F). Scale bar: 10 μm.
Fig. 2 in The neglected diversity: Description and molecular characterisation of Trypanosoma haploblephari Yeld and Smit, 2006 from endemic catsharks (Scyliorhinidae) in South Africa, the first trypanosome sequence data from sharks globally
Fig. 2. Line drawing of Trypanosoma haploblephari (Yeld and Smit, 2006) from the host Poroderma pantherinum (Slide HE18-18) next to a drawing of a red blood cell.
Fig. 2 in Bartonella, Blechomonas and Trypanosoma in fleas from the long-tailed ground squirrel (Spermophilus undulatus) in northwestern China
Fig. 2. Phylogenetic tree of (A) Bartonella (gltA gene) and (B) Trypanosomatidae (18S rRNA gene) from the LTGR fleas (NJ; bootstrap replicates: 1000). The new sequences provided in the present study are indicated by a black circle (followed by the accession number).
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.