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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. 48 Partial Cytochrome Oxidase I sequences for 14 in Cryptic, adaptive radiation of endoparasitic snails: sibling species of Leptoconchus (Gastropoda: Coralliophilidae) in corals
Fig. 48 Partial Cytochrome Oxidase I sequences for 14 species of Leptoconchus; for each species, the respective combination of underlined nucleotides is considered diagnostic
Fig. 5. Maximum likelihood tree for 10 in Molecular phylogeny of Indonesian Zeuzera (Lepidoptera: Cossidae) wood borer moths based on CO I gene sequence
Fig. 5. Maximum likelihood tree for 10 species of Zeuzera based on all substitution of CO I gene (Bootstrap support are shown ath the nodes).
Fig. 3 in Molecular phylogeny of Indonesian Zeuzera (Lepidoptera: Cossidae) wood borer moths based on CO I gene sequence
Fig. 3. Scatter plots of pairwise seqeunce divergence based on K2P model versus Transition/Transversion (Ts/Tv).
Fig. 4. A 50 in Molecular phylogeny of Indonesian Zeuzera (Lepidoptera: Cossidae) wood borer moths based on CO I gene sequence
Fig. 4. A 50% majority-rule consensus tree based on all substitutions of CO I gene (Bootstrap support are shown only for the nodes which have value>50%.
Fig. 1 in Molecular phylogeny of Indonesian Zeuzera (Lepidoptera: Cossidae) wood borer moths based on CO I gene sequence
Fig. 1. Cladogram of Zeuzera (Schoorl, 1990) (all the numbers showed in each branch are apomorphies charactes that are listed in Table 1).
Fig. 3. Maximum likelihood tree constructed from 38 nuclear rDNA ITS1 and ITS2 sequences from Apiaceae genus Daucus and relatives using a in Molecular phylogeny of Daucus (Apiaceae): Evidence from nuclear ribosomal DNA ITS sequences
Fig. 3. Maximum likelihood tree constructed from 38 nuclear rDNA ITS1 and ITS2 sequences from Apiaceae genus Daucus and relatives using a transition/transversion rate ratio of 1.6. Branch lengths are proportional to the number of expected nucleotide substitutions per site.
Fig. 2 in Molecular phylogeny of Daucus (Apiaceae): Evidence from nuclear ribosomal DNA ITS sequences
Fig. 2. Neighbor-joining tree inferred form the analysis of 39 nuclear rDNA ITS1 and ITS2 sequences from Apiaceae genus Daucus and its relatives using a transition/transversion rate ratio of 1.6. Branch lengths are proportional to distance estimated from the two parameter method of Kimura. Numbers at nodes indicate bootstrap values for 100 replicate analyses. On this tree, bootstrap values <20% are not indicated.
Fig. 1 in Molecular phylogeny of Daucus (Apiaceae): Evidence from nuclear ribosomal DNA ITS sequences
Fig. 1. Strict consensus of 11 parsimony trees derived from equally-weighted parsimony analysis of combined nuclear DNA ITS1 and ITS2 sequences from Daucus and its relatives using all unambiguously-aligned positions (CIs with and without uninformative characters= 0.6613 and 0.5817; RI=0.8387). From the left to the right, names of taxa, sections, and clades are given. Numbers above the nodes indicate the number of times a monophyletic group occurred in 100 bootstrap replicates; AutoDecay values are given below.
Fig. 3 in Next generation sequencing reveals widespread trypanosome diversity and polyparasitism in marsupials from Western Australia
Fig. 3. Phylogenetic relationships between Trypanosoma sp. ANU2 and other members of the Trypanosoma genus. Maximum likelihood tree is shown. Neighbour-joining and maximumlikelihood bootstrap support followed by Bayesian posterior probability is shown at nodes, respectively. Genbank accession numbers follow species/genotype description. Trypanosoma species/genotypes isolated in Australia are in bold. Scale bar represents substitution per site.
Fig. 6 in Next generation sequencing reveals widespread trypanosome diversity and polyparasitism in marsupials from Western Australia
Fig. 6. Principle Coordinates Analysis (PCoA) plots demonstrating relationship between Trypanosoma spp. ZOTUs and host species. Dissimilarity matrices were generated using sqrt transformed Bray-Curtis distances to show distance between abundance of ZOTUs between host marsupial species; the woylie (blue squares) and brushtail possum (red circles). (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 4 in The distribution and host-association of a haemoparasite of damselfishes (Pomacentridae) from the eastern Caribbean based on a combination of morphology and 18S rDNA sequences
Fig. 4. Phylogenetic analysis of the Haemohormidium-like parasite based on 18S rDNA sequences. Bayesian inference (BI) analysis showing the phylogenetic relationships for 8 Haemohormidium-like parasite isolates, 6 from the present study (GenBank: MH401637-42) (in bold) and 2 from Renoux et al. (2017), isolated from three species of Stegastes including Stegastes adustus, Stegastes diencaeus and Stegastes planifrons, from 5 sites in the eastern Caribbean. Comparative sequences representing known coccidia, with Adelina dimidiata (DQ096835) as outgroup, were downloaded from the GenBank database. Nodal support values> 50% are represented on the tree.
Fig. 2 in Next generation sequencing reveals widespread trypanosome diversity and polyparasitism in marsupials from Western Australia
Fig. 2. Abundance and diversity map of Trypanosoma copemani genotype 1 (G1) and genotype 2 (G2) positive samples. ZOTUs were sorted into G1 or G2 based on phylogenetic inference shown in rows, while columns are individual marsupial blood samples from infected individuals. The map represents samples separated by host species, which were WOY = woylie, or BTP = brushtail possum. Grayscale indicates number of sequences obtained from that sample as shown in the scale of intensity on the right (log transformed abundance).
Fig. 5 in Next generation sequencing reveals widespread trypanosome diversity and polyparasitism in marsupials from Western Australia
Fig. 5. Trypanosoma spp. polyparasitism in 70 blood samples taken from marsupials in the Upper Warren Region. Marsupial species include: woylie (WOY), brushtail possum (BTP) and chuditch (CHU). Trypanosoma spp. include; C = Trypanosoma copemani, V = T. vegrandis, N = T. noyesi, G = T. gilletti, A = T. sp. ANU2, I = T. irwini, AT = T. sp. AAT, U = unknown, AA = T. avium, and CR = Crithidia spp.
Fig. 4 in Next generation sequencing reveals widespread trypanosome diversity and polyparasitism in marsupials from Western Australia
Fig. 4. Abundance and diversity map of Trypanosoma spp. ZOTUs in different marsupial blood samples assigned to species groups shown in rows, while columns are individual blood samples. Samples are separated by host species including; WOY = woylie (34), CHU = chuditch (3), and BTP = brushtail possum (33). The colour scale indicates increasing number of sequences obtained from that sample, in that species, as shown in the intensity bar on the right. Species include; C = Trypanosoma copemani, V = T. vegrandis, N = T. noyesi, G = T. gilletti, A = T. sp. ANU2, I = T. irwini, AT = T. sp. AAT, U = unknown, AA = T. avium, and CR = Crithidia spp. (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 Next generation sequencing reveals widespread trypanosome diversity and polyparasitism in marsupials from Western Australia
Fig. 1. Phylogenetic relationships between Trypanosoma spp. ZOTUs assigned to nine species groups compared to 24 representative reference strains downloaded from Genbank. Phytomonas serpens and Leptomonas sp. were used as outgroups. Bayesian analysis was used to produce tree topology and posterior probability is shown at nodes. Scale bar represents substitution per site.
Fig. 2 in The distribution and host-association of a haemoparasite of damselfishes (Pomacentridae) from the eastern Caribbean based on a combination of morphology and 18S rDNA sequences
Fig. 2. Peripheral blood stages of the Haemohormidium-like parasite infecting species of Stegastes. Giemsa stained light micrographs of the Haemohormidium-like parasite as observed in the peripheral blood of Stegastes diencaeus from St Thomas, eastern Caribbean (Genbank accession number MH401641). A. rare possible trophozoite stage. B. possible meront stages undergoing transverse binary fission. C. possible meront stages undergoing longitudinal binary fission. Scale bar = 10 μm.
Fig. 3 in The distribution and host-association of a haemoparasite of damselfishes (Pomacentridae) from the eastern Caribbean based on a combination of morphology and 18S rDNA sequences
Fig. 3. Prevalence of infection differences among six Stegastes spp., averaged across six study sites. 95% confidence intervals calculated using the Wilson procedure with continuity corrections. Different lower-case letters above each bar indicates a significant (p ≤ 0.05) difference between species, as indicated by a binomial logistic regression (GLMM results shown in Table 1).
Fig. 1 in The distribution and host-association of a haemoparasite of damselfishes (Pomacentridae) from the eastern Caribbean based on a combination of morphology and 18S rDNA sequences
Fig. 1. Map of the Eastern Caribbean region showing collection sites for the current study and Cook et al., 2015.
Fig. 3 in Close relationship of Plasmodium sequences detected from South American pampas deer (Ozotoceros bezoarticus) to Plasmodium spp. in North American white-tailed deer
Fig. 3. Phylogenetic relationship of Plasmodium sequences from Brazilian pampas deer within ungulate Plasmodium spp. The tree was constructed using concatenated partial nucleotide sequences of cytb and cox1 by maximum likelihood (ML) method based on the GTR + I + G model. Bootstrap values (BV) for ML with 1000 replicates of ultrafast bootstrap analysis and Bayesian posterior probability (BPP) are indicated for each internal branch. The compositions of collapsed clades are described in Fig. 2 legend. The length for the substitutions/site (0.07) is indicated.
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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)
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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.