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865 results for “Mitochondrial genomes”
Mitochondrial genome sequencing of marine leukemias reveals cancer contagion between clam species in the Seas of Southern Europe
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House mouse Mus musculus dispersal in East Eurasia inferred from 98 newly determined complete mitochondrial genome sequences
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FIGURE 2 in The complete mitochondrial genome of Zicrona caerulea (Linnaeus) (Hemiptera: Pentatomidae: Asopinae) and its phylogenetic implications
FIGURE 2. Codon usage in the Z. caerulea mitogenome
FIGURE 4 in The complete mitochondrial genome of Zicrona caerulea (Linnaeus) (Hemiptera: Pentatomidae: Asopinae) and its phylogenetic implications
FIGURE 4. Predicted secondary structure of the rrnS in the Z. caerulea mitogenome
FIGURE 3 in The complete mitochondrial genome of Zicrona caerulea (Linnaeus) (Hemiptera: Pentatomidae: Asopinae) and its phylogenetic implications
FIGURE 3. Predicted secondary structure of tRNA genes in the Z. caerulea mitogenome
FIGURE 6 in The complete mitochondrial genome of Zicrona caerulea (Linnaeus) (Hemiptera: Pentatomidae: Asopinae) and its phylogenetic implications
FIGURE 6. The stem-loop of control region in Z. caerulea mitogenome
Supplementary material 1 from: Hu C, Wang S, Huang B, Liu H, Xu L, Hu Z, Liu Y (2020) The complete mitochondrial genome sequence of Scolopendra mutilans L. Koch, 1878 (Scolopendromorpha, Scolopendridae), with a comparative analysis of other centipede genomes. ZooKeys 925: 73-88. https://doi.org/10.3897/zookeys.925.47820
Table S1
Figure 2 from: Hu C, Wang S, Huang B, Liu H, Xu L, Hu Z, Liu Y (2020) The complete mitochondrial genome sequence of Scolopendra mutilans L. Koch, 1878 (Scolopendromorpha, Scolopendridae), with a comparative analysis of other centipede genomes. ZooKeys 925: 73-88. https://doi.org/10.3897/zookeys.925.47820
Figure 2 Variation in length and base composition of each of the 13 core protein coding genes (PCGs) among eight centipedes' mitochondrial genomes A PCG length variation B GC content across PCGsC AT skew D GC skew.
Figure 4 from: Hu C, Wang S, Huang B, Liu H, Xu L, Hu Z, Liu Y (2020) The complete mitochondrial genome sequence of Scolopendra mutilans L. Koch, 1878 (Scolopendromorpha, Scolopendridae), with a comparative analysis of other centipede genomes. ZooKeys 925: 73-88. https://doi.org/10.3897/zookeys.925.47820
Figure 4 A Molecular phylogeny of eight centipede species based on Maximum Likelihood inference analysis of 13 protein-coding genes (PCGs) B Traditional morphological classification based on the position of spiracles and the variation of larvae.
Figure 1 from: Hu C, Wang S, Huang B, Liu H, Xu L, Hu Z, Liu Y (2020) The complete mitochondrial genome sequence of Scolopendra mutilans L. Koch, 1878 (Scolopendromorpha, Scolopendridae), with a comparative analysis of other centipede genomes. ZooKeys 925: 73-88. https://doi.org/10.3897/zookeys.925.47820
Figure 1 Mitochondrial genome map of the Scolopendra mutilans. Genes drawn inside the circle are transcribed clockwise, and those outside are counterclockwise. PCGs are shown as brown arrows, rRNA genes as green arrows, tRNA genes as pink arrows. The innermost circle shows the GC content. GC content is plotted as the deviation from the average value of the entire sequence.
Figure 3 from: Hu C, Wang S, Huang B, Liu H, Xu L, Hu Z, Liu Y (2020) The complete mitochondrial genome sequence of Scolopendra mutilans L. Koch, 1878 (Scolopendromorpha, Scolopendridae), with a comparative analysis of other centipede genomes. ZooKeys 925: 73-88. https://doi.org/10.3897/zookeys.925.47820
Figure 3 Mitogenome synteny among eight centipede species. Synteny analyses were generated in Mauve 2.4.0. A total of six large homologous regions were identified among the eight mitogenomes, while the sizes and relative positions of the homologous fragments varied across the mitogenomes.
Supplementary material 4 from: Wu Y-A, Gao J-W, Cheng X-F, Xie M, Yuan X-P, Liu D, Song R (2020) Characterization and comparative analysis of the complete mitochondrial genome of Azygia hwangtsiyui Tsin, 1933 (Digenea), the first for a member of the family Azygiidae. ZooKeys 945: 1-16. https://doi.org/10.3897/zookeys.945.49681
Figure S1
Supplementary material 1 from: Wu Y-A, Gao J-W, Cheng X-F, Xie M, Yuan X-P, Liu D, Song R (2020) Characterization and comparative analysis of the complete mitochondrial genome of Azygia hwangtsiyui Tsin, 1933 (Digenea), the first for a member of the family Azygiidae. ZooKeys 945: 1-16. https://doi.org/10.3897/zookeys.945.49681
Table S1
Supplementary material 3 from: Wu Y-A, Gao J-W, Cheng X-F, Xie M, Yuan X-P, Liu D, Song R (2020) Characterization and comparative analysis of the complete mitochondrial genome of Azygia hwangtsiyui Tsin, 1933 (Digenea), the first for a member of the family Azygiidae. ZooKeys 945: 1-16. https://doi.org/10.3897/zookeys.945.49681
Table S3
Supplementary material 2 from: Wu Y-A, Gao J-W, Cheng X-F, Xie M, Yuan X-P, Liu D, Song R (2020) Characterization and comparative analysis of the complete mitochondrial genome of Azygia hwangtsiyui Tsin, 1933 (Digenea), the first for a member of the family Azygiidae. ZooKeys 945: 1-16. https://doi.org/10.3897/zookeys.945.49681
Table S2
Supplementary material 5 from: Wu Y-A, Gao J-W, Cheng X-F, Xie M, Yuan X-P, Liu D, Song R (2020) Characterization and comparative analysis of the complete mitochondrial genome of Azygia hwangtsiyui Tsin, 1933 (Digenea), the first for a member of the family Azygiidae. ZooKeys 945: 1-16. https://doi.org/10.3897/zookeys.945.49681
Figure S2
Figure 2 from: Wu Y-A, Gao J-W, Cheng X-F, Xie M, Yuan X-P, Liu D, Song R (2020) Characterization and comparative analysis of the complete mitochondrial genome of Azygia hwangtsiyui Tsin, 1933 (Digenea), the first for a member of the family Azygiidae. ZooKeys 945: 1-16. https://doi.org/10.3897/zookeys.945.49681
Figure 2 Phylogenetic relationships and gene arrangement of Azygia hwangtsiyui with other selected digeneas based on translated mitochondrial proteins. The concatenated amino-acid sequence datasets of the 12 protein-coding genes were analyzed by Bayesian Inference (BI) and Maximum Likelihood (ML), utilizing Cloacotaenia megalops (NC_032295.1) and Dibothriocephalus latus (NC_008945.1) as the outgroups. Both ML and BI analyses constructed identical tree topologies.
Characterization of nuclear and mitochondrial genomes of Leptosphaerulina chartarum and Curvularia trifolii and their contributions to phylogenetic implications in the Pleosporales
<p>Previous studies reported that symbiont endophytic fungi are widely distributed in all tissues of tobacco plants and played important roles. It is therefore important to determine the species distribution and characteristics of endophytic fungi in tobacco. Here, two parasitic fungi <em>Leptosphaerulina chartarum</em> and <em>Curvularia trifolii</em> were isolated from normal tobacco tissue, then were used to sequence their nuclear and mitogenomes. Finally, we yield 41.68 Mb and 37.95 Mb nuclear genome for <em>C. trifolii </em>and <em>L. chartarum</em> with the contig N50 as 638.94 Kb and 284.12 Kb, respectively. The average GC content of these two species were 49.74% and 50.64%. And the <em>C. trifolii</em> and <em>L. chartarum</em> mitochondrial genomes were 68,926 bp and 59,100 bp long circular molecules with average GC contents of 28.60% and 29.31%, respectively. In order to gain additional evidence for the classification of <em>C. trifolii</em> and <em>L. chartarum</em>, we calculated the evolutionary rate of 7 nuclear and 12 mitochondrial genes and then performed phylogenetic analyses. The results showed that the phylogenetic trees performed by combining nuclear and mitochondrial genes showed similar topologies, only existing tiny difference. Combined with our studies, we further confirmed that the phylogenetic relationships of endophytic fungi in tobacco is better to construct based on the datasets of multi-protein coding genes either from nuclear or mitochondrial genomes. These data therefore provide an understanding of the gene content and evolutionary history of species within the Pleosporales.</p>
Figure 8 from: Gong J, Chen B, Li B, Zhou Z, Shi Y, Ke Q, Zhang D, Xu P (2020) Genetic analysis of whole mitochondrial genome of Lateolabrax maculatus (Perciformes: Moronidae) indicates the presence of two populations along the Chinese coast. Zoologia 37: 1-12. https://doi.org/10.3897/zoologia.37.e49046
Figure 8 The intensity of purifying selection of 12 mitochondrial genes of Lateolabrax maculatus. The different colors represent different geographical populations.
Figure 7 from: Gong J, Chen B, Li B, Zhou Z, Shi Y, Ke Q, Zhang D, Xu P (2020) Genetic analysis of whole mitochondrial genome of Lateolabrax maculatus (Perciformes: Moronidae) indicates the presence of two populations along the Chinese coast. Zoologia 37: 1-12. https://doi.org/10.3897/zoologia.37.e49046
Figure 7 The changed trend of effective population numbers with the time based on Bayesian skyline plot method. X-axis is the timescale before present, and Y-axis is the estimated effective population size. Solid curves indicate median effective population size; the shaded range indicates 95% highest posterior density intervals.
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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)
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.