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Figure 1. Dendrogram showing relationships among 70 in Analysis of the genetic diversity of Dragon fruit based on ISSR markers in Colombia
Figure 1. Dendrogram showing relationships among 70 genotypes of Selenicereus megalanthus, according to the UPGMA analysis using eight ISSR markers.
Figure 4 in PCR-RFLP Based genetic diversity of Plasmodium vivax genotypes in district Mardan, Pakistan
Figure 4. Prevalence of six different sub-allele types of Pvmsp-3β (A1-A3, B1-B2 and C1) based on PCR-RFLP.
Figure 2 in PCR-RFLP Based genetic diversity of Plasmodium vivax genotypes in district Mardan, Pakistan
Figure 2. Prevalence of nine different sub-allele types of Pvmsp- 3α(A1-A4), (B1-B3), C1 and D are the nine different alleles from PCR-RFLP.
Fig. 11 in Trypanosomes genetic diversity, polyparasitism and the population decline of the critically endangered Australian marsupial, the brush tailed bettong or woylie (Bettongia penicillata)
Fig. 11. Transmission electron micrograph of an epimastigote and an amastigote of G2 (Clade A). (A) Epimastigote in culture; Ax: Axoneme showing nine doublets of microtubules surrounding a central pair; Ac: Acidocalcisomes; Arrow: Subpellicular microtubules. (B) Amastigote inside a VERO cell. Scale bars = 0.5 µm (A), 1 µm (B).
Fig. 9 in Trypanosomes genetic diversity, polyparasitism and the population decline of the critically endangered Australian marsupial, the brush tailed bettong or woylie (Bettongia penicillata)
Fig. 9. Infection of Vero (A) and L6 cells (B) with G2 (Clade A) and T. cruzi as a positive control of infection (Diff-Quick stained). (A) Intracellular amastigotes of G2. (B) Intracellular amastigotes of T. cruzi. Scale bars = 10 µm.
Fig. 8 in Trypanosomes genetic diversity, polyparasitism and the population decline of the critically endangered Australian marsupial, the brush tailed bettong or woylie (Bettongia penicillata)
Fig. 8. Epimastigotes of G1 and G2 (Clade A) arranged in rosettes in culture. (A) Diff-Quick stained rosettes. (B) Rosettes in fresh wet preparations showing numerous intracellular acidocalcisomes. Scale bars = 10 µm.
Fig. 7 in Trypanosomes genetic diversity, polyparasitism and the population decline of the critically endangered Australian marsupial, the brush tailed bettong or woylie (Bettongia penicillata)
Fig. 7. Light microscopy of Diff-Quick stained blood and culture forms of G1 and G2 (Clade A) (A) Trypomastigote in blood of a woylie naturally infected; (B) slender epimastigote in culture; (C and D) shaped epimastigote in culture; (E) spheromastigote in culture; (F) spheromastigotes dividing in culture. Scale bars = 10 µm.
Fig. 6 in Trypanosomes genetic diversity, polyparasitism and the population decline of the critically endangered Australian marsupial, the brush tailed bettong or woylie (Bettongia penicillata)
Fig. 6. Structures suggestive of amastigotes (arrows) of G2 (Clade A) in heart tissue positive by PCR (H&E stained). Scale bars = (A) 20 µm, (B) 10 µm.
Fig. 5 in Trypanosomes genetic diversity, polyparasitism and the population decline of the critically endangered Australian marsupial, the brush tailed bettong or woylie (Bettongia penicillata)
Fig. 5. Histopathology of two woylies naturally infected with G2 (Clade A) (H&E stained). (A) Multifocal, moderate to severe, chronic, pyogranulomatous myocarditis and (B) endocarditis. (C) Mineralisation of heart tissue. (D) Tongue showing multifocal, moderate, chronic, pyogranulomatous glossitis. (E) Skeletal muscle degeneration. (F) Inflammatory cells around a blood vessel. Scale bars = 20 µm.
Fig. 3 in Trypanosomes genetic diversity, polyparasitism and the population decline of the critically endangered Australian marsupial, the brush tailed bettong or woylie (Bettongia penicillata)
Fig. 3. Phylogenetic relationships of the new trypanosome isolates from Western Australian marsupials based on gGAPDH sequences (~810 bp) using Mr Bayes. The tree was rooted with five sequences as outgroups. Bayesian posterior probabilities are shown at nodes. Bar, 0.07 substitutions per site.
Fig. 10 in Trypanosomes genetic diversity, polyparasitism and the population decline of the critically endangered Australian marsupial, the brush tailed bettong or woylie (Bettongia penicillata)
Fig. 10. Scanning electron micrograph of G2 (Clade A) grown in culture with Vero cells. (A) Trypomastigote invading a cell, with the flagella still external to the cell. (B) Dead cell(s) surrounded by amastigotes and trypomastigotes. Scale bars = 2 µm (A), 4 µm (B).
Fig. 4 in Trypanosomes genetic diversity, polyparasitism and the population decline of the critically endangered Australian marsupial, the brush tailed bettong or woylie (Bettongia penicillata)
Fig. 4. Prevalence of infection with trypanosomes within the different clades in woylies from the stable and declining populations. 95% confidence intervals (95% CI).
Fig. 2 in Trypanosomes genetic diversity, polyparasitism and the population decline of the critically endangered Australian marsupial, the brush tailed bettong or woylie (Bettongia penicillata)
Fig. 2. Phylogenetic analysis of the relationships between Australian trypanosomes based on 18S rDNA sequences. Phylogenetic trees were constructed by the Bayesian method sequences (~1410 bp). (B) Phylogenetic position of shorter 18S rDNA sequences (786 bp) CHA1, TRY1, TRY2, WYA1, WYA2, BDA1, Q3, Q10, GP63 and GP94. Threes were rooted with from Bayesian posterior probabilities are shown at nodes. In red: trypanosome genotypes found in this study. Bar, 0.2 substitutions per site.
Fig. 4 in Marked genetic diversity within Blastocystis in Australian wildlife revealed using a next generation sequencing-phylogenetic approach
Fig. 4. Relative abundance of Blastocystis subtypes (STs) in marsupial and deer species. Marsupials are represented by eastern grey kangaroos and wallabies; deer are represented by red, fallow and sambar deer. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 3 in Marked genetic diversity within Blastocystis in Australian wildlife revealed using a next generation sequencing-phylogenetic approach
Fig. 3. Phylogenetic analysis of SSU-rRNA sequence data (aligned over 2035 positions) to infer the relationships of recognised Blastocystis subtypes (STs) as well as new STs discovered in the present study. The tree was constructed using Bayesian Inference method (MrBayes) and used Proteromonas lacertae as an outgroup. Posterior probabilities less than 0.95% are not displayed. The two novel subtypes and additional ST13 and ST24 sequences are indicated in bold. After the present analysis was completed, Santín et al. (2023) reported a subdivision of "ST10" into four STs (i.e. ST10, ST42, ST43 and ST44).
Fig. 2 in Marked genetic diversity within Blastocystis in Australian wildlife revealed using a next generation sequencing-phylogenetic approach
Fig. 2. Diagram of the method used to obtain sequence for a SSU-rRNA gene region (~1750 bp) of Blastocystis. Two primer sets were used to obtain overlapping sequences for this region.
Fig. 3 in Haemosporidian parasite infections in grouse and ptarmigan: Prevalence and genetic diversity of blood parasites in resident Alaskan birds
Fig. 3. Bayesian phylogenetic tree of haemosporidian mtDNA cytochrome b haplotypes isolated from Alaskan grouse and ptarmigan species. Node tips are labeled with abbreviation for parasite genus (Haem = Haemoproteus, Leuc = Leucocytozoon, and Plas = Plasmodium), followed by the lineage name, GenBank accession number for each lineage, and avian (Phas = Phasianidae, Anat = Anatiade, Turd = Turdidae, Paru = Parulidae, Scol = Scolopacidae, Embe = Emberizidae, and Frin = Fringillidae) or invertebrate (Simu = Simuliidae) host family. All haplotypes identified in this study are highlighted in red and asterisks following tip labels indicate a lineage that was isolated from Alaskan bird hosts. Numbers on branches indicate posterior probabilities from our analysis. All reference sequences were obtained from the National Center for Biotechnology Information website or the MalAvi database. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)
Fig. 2. Minimum spanning network for haemosporidian mtDNA cytochrome b in Haemosporidian parasite infections in grouse and ptarmigan: Prevalence and genetic diversity of blood parasites in resident Alaskan birds
Fig. 2. Minimum spanning network for haemosporidian mtDNA cytochrome b haplotypes isolated from Alaskan grouse and ptarmigan species. Dark circles represent un-sampled nodes. All circles are proportional to the frequency at which the haplotypes were detected. Lines between nodes are drawn to scale based on the number of nucleotide mutations unless otherwise indicated by hash marks.
Fig. 1 in Haemosporidian parasite infections in grouse and ptarmigan: Prevalence and genetic diversity of blood parasites in resident Alaskan birds
Fig. 1. Map of Alaskan sampling regions assembled from multiple game management units and sub-units. Regions were grouped for analysis of haemosporidian prevalence as follows: southcoastal (Kenai Peninsula and southeastern Alaska; GMUs 1C, 1D, 2, 7, 15A, 15B, and 15C), southcentral (Anchorage area and Matanuska-Susitna Valley; GMUs 13A, 13D, 14A, 14C, 16A, and 16B), southwestern (Bristol Bay, Alaska Peninsula, and eastern Aleutian islands; 9D, 9E, and 17C), southern interior (south side of Alaska Range; GMUs 12, 13B, and 13E), northern interior (north side of Alaska Range; GMUs 20A-20E and 25C), and Seward Peninsula (GMU 22C).
Fig. 2 Maximum likelihood phylogenetic tree constructed using the mitochondrial cox1 gene for 103 in Genetic diversity and population genetics of large lungworms (Dictyocaulus, Nematoda) in wild deer in Hungary
ƒFig. 2 Maximum likelihood phylogenetic tree constructed using the mitochondrial cox1 gene for 103 Dictyocaulus lungworms originating from Hungary and five lungworms from GenBank indicated by their accession numbers (one dictyocaulid worm of red deer in New Zealand and four sequences of D. viviparus). Lungworms were collected from hunted deer (fallow, red and roe deer), indicated by triangle, square and circle, respectively. Geographical collecting regions are indicated for each sample
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.