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865 results for “mitochondrial genome”
Fig. 1 in Diversification of Hemidactylus geckos (Squamata: Gekkonidae) in coastal plains and islands of southwestern Arabia with descriptions and complete mitochondrial genomes of two endemic species to Saudi Arabia
Fig. 1 Phylogenetic tree resulting from the ML analysis of two mitochondrial and five nuclear markers concatenated. Branch support is given by each node in the following order: SH-aLRT, UFBoot, standard bootstrap, and posterior probabilities from the Bayesian analysis. The lengths of the branches leading to the outgroup have been truncated. The maps on the right show sampling localities for each spe-
Fig. 6 in Complete mitochondrial genomes of Chionomys roberti and Chionomys nivalis (Mammalia: Rodentia) from Turkey: Insight into their phylogenetic position within Arvicolinae
Fig. 6 ML tree reconstructed from CYTB data set of the genus Chionomys. Bootstrap values are shown at nodes. The symbols and numbers indicate the compressed lineages within the snow vole species including cytochrome b sequences obtained from GenBank and this
Fig. 7 in Complete mitochondrial genomes of Chionomys roberti and Chionomys nivalis (Mammalia: Rodentia) from Turkey: Insight into their phylogenetic position within Arvicolinae
Fig. 7 BI tree reconstructed from CYTB data set of the genus Chionomys. Posterior probability values are shown at nodes. The symbols and numbers indicate the compressed lineages within the snow vole species including cytochrome b sequences obtained from GenBank
Fig. 5 in Complete mitochondrial genomes of Chionomys roberti and Chionomys nivalis (Mammalia: Rodentia) from Turkey: Insight into their phylogenetic position within Arvicolinae
Fig. 5 The reconstructed BI phylogenetic tree, based on the GTR nucleotide substitution model and including the PCG sequences of C. nivalis and C. roberti along with the representatives of other genera
Fig. 3 in Complete mitochondrial genomes of Chionomys roberti and Chionomys nivalis (Mammalia: Rodentia) from Turkey: Insight into their phylogenetic position within Arvicolinae
Fig. 3 Relative synonymous codon usage (RSCU) and codon usage of C. nivalis (1778_Kars) and C. roberti (1775_Trabzon) mitogenomes. Graphics above (a) give RSCU values; graphics below (b)
Fig. 1 in Complete mitochondrial genomes of Chionomys roberti and Chionomys nivalis (Mammalia: Rodentia) from Turkey: Insight into their phylogenetic position within Arvicolinae
Fig. 1 Circular mitogenome map of C. nivalis (1778_Kars) and C. roberti (1775_Trabzon). The map shows the 13 protein-coding, two rRNAs, 22 tRNAs genes and Dloop- OL regions in the mtDNA genome of the Chionomys species
Fig. 2 in Mitochondrial genome divergence supports an ancient origin of circatidal behaviour in the Anurida maritima (Collembola: Neanuridae) species group
Fig. 2 Phylogenetic and molecular dating analyses. Top: Bayesian divergence time estimation using fixed starting tree. The starting tree is shown on the right and is a maximum likelihood (ML) tree obtained using IQ-TREE. Numbers at the nodes of this ML tree are ultrafast bootstrap support values (%); only values <100 are given. Bottom: Divergence time estimation using the same starting tree, but
Fig. 1 in Mitochondrial genome divergence supports an ancient origin of circatidal behaviour in the Anurida maritima (Collembola: Neanuridae) species group
Fig. 1 Aggregation behaviour in Anurida bisetosa. A. bisetosa is a collembolan from the intertidal zone. It has 5 + 5 ocelli (top left inset). Bottom graph: Aggregation behaviour over time. Mean distance between animals was calculated at 30-min intervals. Five replicates were run for ~ 27 h each (each indicated using a different colour.
Mitochondrial genome of Dicotyles tajacu
<p><span>The collared peccary (Dicotyles tajacu Linnaeus, 1758) is a vital resource for the subsistence and economy of the Amazonian inhabitants. Despite its importance, there is a notable lack of genetic information on Peruvian collared peccary populations. This study presents the first complete mitogenome of <em>Dicotyles tajacu</em> from Peru, obtained by Illumina sequencing. The mitochondrial genome spans 16,836 bp and has a nucleotide composition of 34.2% A, 25.5% T, 13.5% G, and 26.8% C, with a GC content of 40.3%. The genome includes 13 protein-coding genes, 22 tRNA genes, 2 rRNA genes, and a control region. Phylogenetic analysis of protein-coding genes indicates that Peruvian D. tajacu is closely related to a Bolivian specimen within the family Tayassuidae. The annotated mitogenome of Peruvian D. tajacu provides valuable genomic data for evolutionary research and will serve in conservation and management strategies for the species.</span></p>
Figure 2 in The mitochondrial genome of the Yellowtail Snapper Ocyurus chrysurus (Bloch, 1791) (Perciformes: Lutjanidae)
Figure 2. Relative synonymous codon usage (RSCU) in protein-coding genes of the mitochondrial genome of yellowtail snapper Ocyurus chrysurus.
Figure 1. The yellowtail snapper Ocyurus chrysurus and a in The mitochondrial genome of the Yellowtail Snapper Ocyurus chrysurus (Bloch, 1791) (Perciformes: Lutjanidae)
Figure 1. The yellowtail snapper Ocyurus chrysurus and a circular map of its mitochondrial genome. Photograph of O. chrysurus by Briana Miele, used with permission.
Figure 3 in Characterisation of the complete mitochondrial genome of the imperiled Pearl darter Percina aurora (Perciformes: Percidae)
Figure 3. Selective pressure analysis in the protein coding genes of Percina aurora. Top: KA value for each protein-coding gene. Middle: KS value for each protein-coding gene. Bottom: KA/KS ratio for each protein-coding gene.
Figure 1 in Characterisation of the complete mitochondrial genome of the imperiled Pearl darter Percina aurora (Perciformes: Percidae)
Figure 1. Circular representation of Percina aurora mitochondrial genome. Photo credit: United States Fish and Wildlife Service (used with permission).
Figure 4 in The complete mitochondrial genome of the leopard shark Triakis semifasciata (Triakidae)
Figure 4. Visualisation of the tRNA secondary structure encoded in the mitochondrial genome of the leopard shark Triakis semifasciata.
Figure 2 in The complete mitochondrial genome of the leopard shark Triakis semifasciata (Triakidae)
Figure 2. Codon usage in 13 protein-coding genes encoded in the mitochondrial genome of the leopard shark Triakis semifasciata.
Figure 5 in Characterisation of the complete mitochondrial genome of the imperiled Pearl darter Percina aurora (Perciformes: Percidae)
Figure 5. Features present in the Control Region (CR) (987 bp) of the Percina aurora mitogenome. The CR is separated into an extended termination-associated sequence domain (ETAS), a core domain, and a conserved sequence block (CSB) domain. The underlined portion denotes the long tandem repeat sequence within the ETAS domain. The blue-green highlighted sequence represents the ETAS 1 region while the blue highlighted sequence represents the ETAS 2 region. Nucleotides in green, yellow and pink correspond to the F-box, E-box and D-box regions within the central domain, respectively. Nucleotides in cyan, red and dark green correspond to the CSB-1, CSB-2 and CSB-3 regions, respectively.
Figure 5 in The complete mitochondrial genome of the leopard shark Triakis semifasciata (Triakidae)
Figure 5. Phylomitogenomic analysis of the leopard shark Triakis semifasciata and related species in the family Triakidae. Total-evidence phylogenetic tree obtained from a maximum likelihood analysis based on a concatenated alignment of the 13 protein-coding genes (translated) encoded in the mitochondrial genome. Numbers above or below branches are bootstrap support values for the different internal nodes. Photograph of Triakis semifasciata from Matthew Field (used with permisssion).
Figure 3 in The complete mitochondrial genome of the leopard shark Triakis semifasciata (Triakidae)
Figure 3. Selective pressure analysis in the mitochondrial protein-coding genes of the leopard shark Triakis semifasciata. The estimated Ka/Ks ratio for each protein-coding gene is shown.
Figure 4 in Characterisation of the complete mitochondrial genome of the imperiled Pearl darter Percina aurora (Perciformes: Percidae)
Figure 4. Visualisation of the tRNA secondary structure in the mitochondrial genome of Percina aurora.
Figure 4 in The mitochondrial genome of the Yellowtail Snapper Ocyurus chrysurus (Bloch, 1791) (Perciformes: Lutjanidae)
Figure 4. Phylogram of Maximum Likelihod (ML) analysis of yellowtail snapper Ocyurus chrysurus and species in the family Lutjanidae, based on 13 concatenated mitochondrial protein-coding genes (PCGs). Outgroups included four species belonging to the family Scombridae (Thunnus albacares, T. alalunga, T. orientalis and T. obesus). ML bootstrap values ≥70% are shown below and Bayesian inference (BI) posterior probabilities ≥0.95 above the branches.
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.