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160 results for “Molecular detection”
Figure 3 in Ecological aspects and molecular detection of Leishmania DNA (Kinetoplastida: Trypanosomatidae) in phlebotomine sand flies (Diptera: Psychodidae) from a rural settlement in the Eastern Amazon, Brazil
Figure 3 Abundance of Phlebotominae Sand flies from Perimetral Norte Rural Settlement, Pedra Branca Municipality, Amapá State, Brazil, collected from February 2018 to February 2019, at the collection sites: ID intradomicile, PD peridomicile, F100m forest 100m from edge, F400m forest from edge. The letters "a" and "b" represent the significant difference.
Figure 2 in Ecological aspects and molecular detection of Leishmania DNA (Kinetoplastida: Trypanosomatidae) in phlebotomine sand flies (Diptera: Psychodidae) from a rural settlement in the Eastern Amazon, Brazil
Figure 2 Shannon's Index of Phlebotominae Sand Flies from Perimetral Norte Rural Settlement, Pedra Branca Municipality, Amapá State, Brazil, collected from February 2018 to February 2019, at the collection- sites: ID intradomicile, PD peridomicile, F100m forest 100m from edge, F400m forest from edge. The letters "a" and "b" represent the significant difference.
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. 2 in Molecular detection and characterization of Leishmania infantum in free- ranging Egyptian mongoose (Herpestes ichneumon)
Fig. 2. Maximum Likelihood (ML) phylogenetic tree of 27 L. infantum nucleotide sequences (410 nt long in the final dataset, including gaps), obtained during this study (MH799321) and others available in GenBank, based on the Hasegawa-Kishino-Yano model (HKY) (Hasegawa et al., 1985). The tree with the highest log likelihood (−1026.87) is shown. Initial tree(s) for the heuristic search were obtained automatically by applying Neighbor-Join and BioNJ algorithms to a matrix of pairwise distances estimated using the Maximum Composite Likelihood (MCL) approach, and then selecting the topology with superior log likelihood value. A discrete Gamma distribution was used to model evolutionary rate differences among sites (5 categories (+G, parameter = 0.3289) (HKY + G). The tree was drawn to scale, with branch lengths measured in the number of substitutions per site. Robustness of the tree nodes was assessed by bootstrapping 1000 times. The graphical edition of the phylogenetic tree was performed with tree explorer, MEGA7 software (Kumar et al., 2016). Only bootstrap (BS) values equal or greater than 70 are shown on the tree, with the exception of the MH799321 cluster wherein the Bs values, although <70, are displayed for the reader. A 2-letter code and a specific colour (Top left) was attributed to each country for better identification of the origin of each strain. Whenever possible, the host was identified by a specific shape (Top left), namely dog (Canis lupus familiaris, star), human (Homo sapiens, triangle), Egyptian mongoose (Herpestes ichneumon, square) and hoary fox (Lycalopex vetulus, diamond). Sampling dates are indicated, whenever available. (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 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. 1 in Molecular detection and characterization of Leishmania infantum in free- ranging Egyptian mongoose (Herpestes ichneumon)
Fig. 1. Spatial distribution of wild carnivore samples in mainland Portugal. Administrative regions at the district level are indicated. The overall proportion of samples per district is indicated by the grey scale. The abbreviatures of districts are as follows: Viana do Castelo (VC), Braga (BR), Vila Real (VR), Bragança (BG), Porto (PT), Aveiro (AV) Viseu (VS), Guarda (GR), Coimbra (CM), Castelo Branco (CB), Leiria (LR), Santarém (SA), Portalegre (PA), Lisboa (Lx), Setúbal (ST), Évora (EV), Beja (BJ) and Faro (FR). White circles with numbers in red specify the number and location of Egyptian mongooses that were kDNA-positive by PCR. (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 detection and genotypes of Enterocytozoon bieneusi in farmed mink (Neovison vison), blue foxes (Alopex lagopus), and raccoon dogs (Nyctereutes procyonoides) in Xinjiang, China
Fig. 1. Phylogenetic relationships of the E. bieneusi genotypes. The relationships were inferred using NJ analysis of the ITS rRNA gene and the values generated greater than 50% are shown beside the nodes. Genotypes with hollow circles and filled circles are known and novel genotypes identified in this study, respectively.
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 First detection and molecular identification of Babesia gibsoni and Hepatozoon canis in an Asiatic wild dog (Cuon alpinus) from Thailand
Fig. 2. Neighbor-joining (NJ) tree of the Hepatozoon partial 18S ribosomal RNA (18S rRNA) gene sequence. Hepatozoon canis (MK144332) was amplified from an Asiatic wild dog in Thailand and analyzed for comparison with other Hepatozoon spp. from the GenBank database. The numbers on branches indicate percent bootstrap support based on 1000 bootstrap replications and only bootstrap values ≥ 50% are shown.
Fig. 1 in First detection and molecular identification of Babesia gibsoni and Hepatozoon canis in an Asiatic wild dog (Cuon alpinus) from Thailand
Fig. 1. Neighbor-joining (NJ) tree of the Babesia partial 18S ribosomal RNA (18S rRNA) gene sequence. Babesia gibsoni (MK144331) was amplified from an Asiatic wild dog in Thailand and analyzed for comparison with other Babesia spp. from the GenBank database. The numbers on branches indicate percent bootstrap support based on 1000 bootstrap replications and only bootstrap values ≥ 50% are shown.
Fig. 1 in Detection of Dirofilaria immitis via integrated serological and molecular analyses in coyotes from Texas, United States
Fig. 1. Texas locations where samples were collected, including Webb, Maverick, Jim Hogg, Haskell, Throckmorton, Hutchinson, Roberts, Reeves, and Loving counties.
Fig. 1 in First report on the molecular detection of Enterocytozoon bieneusi in livestock and wildlife around Qinghai Lake in the Qinghai-Tibetan Plateau area, China
Fig. 1. Phylogenetic tree of E. bieneusi isolates and reference based on ITS region sequence of small-subunit ribosomal RNA (SSU rRNA) genes.
Fig. 1 in Molecular detection and characterization of a novel Theileria genotype in Dama Gazelle (Nanger dama)
Fig. 1. Phylogenetic analyses of sequence data for 393bp 18S rRNA gene of Theileria spp. in gazelles by Maximum Likelihood method with bootstrap of 1000 replications using MEGA software version10.
Fig. 2 in Molecular detection of Bartonella rochalimae and Hepatozoon canis in red foxes (Vulpes vulpes) from China
Fig. 2. The NJ phylogenetic tree of the 18S rRNA of Hepatozoon spp. (NJ; bootstrap replicates: 1000). Branch lengths correlate to the number of substitutions inferred according to the scale shown. Sequences of obtained in this study are indicated by solid cycle (●).
Fig. 1 in Molecular detection of Bartonella rochalimae and Hepatozoon canis in red foxes (Vulpes vulpes) from China
Fig. 1. The NJ phylogenetic tree of the gltA-rpoB concatenated sequences of Bartonella spp. (NJ; bootstrap replicates: 1000). Branch lengths correlate to the number of substitutions inferred according to the scale shown. Sequences of obtained in this study are indicated by solid cycle (●).
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.