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98 results for “mitochondrial marker”
Fig. 11 in Introgression at the emerging secondary contact zone of magpie Pica pica subspecies (Aves: Corvidae): integrating data on nuclear and mitochondrial markers, vocalizations, and field observations
Fig. 11 Rates of chatter calls in different magpie populations and individuals. a Each mark represents average chattering rate for a single bird from five populations indicated by colours. Figures are numbers for the outliers: 1, 2—jankowskii from the mixed population of Argun'; 3, 4, 5—hybrid birds from the hybridogeneous population of Kerulen. b Each mark represents average chattering rate for a series of chatterings of one selected individual representing jankowskii, leucoptera, and hybrid birds, respectively. Green mark—pair #6 jankowskii from Vladivostok; gray—pair #43 leucoptera from Tsasuchei, Transbaikalia; blue—pair #24 hybrids from Kerulen, eastern Mongolia. X-axis—number of elements per second in a total series of chattering; Y-axis— number of elements per second in a series of 5 elements of chattering
Fig. 12 in Introgression at the emerging secondary contact zone of magpie Pica pica subspecies (Aves: Corvidae): integrating data on nuclear and mitochondrial markers, vocalizations, and field observations
Fig. 12 Violin plot diagram of the chatter call speed (elements per second) of Eurasian magpie populations across regions. X-axis presents a set of populations; Y-axis—elements per second. Box outlines the interquantile range (25%, 75%), whiskers represent range without outliers, central bar is the median, red dot is the mean, and figure shape is the probability density. The brackets on the top denote statistically significant pairwise differences (GamesHowell test, p<0.05)
Fig. 9 in Introgression at the emerging secondary contact zone of magpie Pica pica subspecies (Aves: Corvidae): integrating data on nuclear and mitochondrial markers, vocalizations, and field observations
Fig. 9 Population genetic structure based on unlinked SNP markers. Scatter plots of principal component analysis (PCA) show individual variation in components one and two (a) and three and four (b). The amount of variance explained by each PC is shown in parentheses. I—leucoptera,
Fig. 7 in Introgression at the emerging secondary contact zone of magpie Pica pica subspecies (Aves: Corvidae): integrating data on nuclear and mitochondrial markers, vocalizations, and field observations
Fig. 7 Bayesian skyline plots (BSPs) for effective female population sizes for haplogroups, subspecies, and populations of Pica pica. a Comparison of 6 haplogroups, depicted in the network Fig. 4. b Comparison of 6 subspecies. c Comparison of 4 populations of P. p. jankowskii. d Comparison of 3 populations of P. p. leucoptera.
Fig. 6 in Introgression at the emerging secondary contact zone of magpie Pica pica subspecies (Aves: Corvidae): integrating data on nuclear and mitochondrial markers, vocalizations, and field observations
Fig. 6 Mismatch distribution of nucleotide differences in populations representing different haplogroups as at Figs. 4 and 5. X-axis— number of nucleotide differences; Y-axis—proportion (frequency). Solid lines—expected distributions (under expectation of population growth); dashed lines—observed distributions. a Haplogroup 1:
Fig. 5 in Introgression at the emerging secondary contact zone of magpie Pica pica subspecies (Aves: Corvidae): integrating data on nuclear and mitochondrial markers, vocalizations, and field observations
Fig. 5 Time-calibrated Bayesian tree based on mitochondrial control region sequences of Pica pica. Numbers at the branches indicate Bayesian posterior probability values (left) and bootstrap values of the ML analysis (right, in percent). Triangle widths are proportional to specimen numbers. Blue bars next to nodes indicate 95% credibility intervals for their age estimates. The figures in bold and the time scale below are in million years (Ma) before present
Fig. 4 in Introgression at the emerging secondary contact zone of magpie Pica pica subspecies (Aves: Corvidae): integrating data on nuclear and mitochondrial markers, vocalizations, and field observations
Fig. 4 Phylogenetic medianjoining network based on 256 mitochondrial control region sequences. Sizes of circles correspond to the number of birds sharing this haplotype; branch lengths are proportional to the number of substitutions and those over 2 are shown at the branches. Haplogroups 1–6 are indicated by numbers
Fig. 2 in Introgression at the emerging secondary contact zone of magpie Pica pica subspecies (Aves: Corvidae): integrating data on nuclear and mitochondrial markers, vocalizations, and field observations
Fig. 2 Map of sampling localities for mitochondrial DNA analysis in the zone of contact between Pica pica leucoptera and Pica pica jankowskii. Distribution of haplotypes is indicated by colours: Pica
Fig. 2 in Combination of nuclear and mitochondrial markers as a useful tool to identify Ctenophthalmus species and subspecies (Siphonaptera: Ctenophthalmidae)
Fig. 2 Morphological characteristics of males of C. b. arvernus and C. n. dobyi. A—C. b. arvernus distal arm of IX sternum (arrowed); B—C. b. arvernus dorsal process basimere with only one long setae (arrowed); C—C. b. arvernus ventral process basimere with an apical slot
Fig. 1 in Combination of nuclear and mitochondrial markers as a useful tool to identify Ctenophthalmus species and subspecies (Siphonaptera: Ctenophthalmidae)
Fig. 1 Morphological characteristics of males of C. a. catalaniensis. A—Distal arm of IX sternum (arrowed); B—dorsal process basimere with two long setae (arrowed); C—ventral process basimere with an apical slot (arrowed); D—telomere carrying one curved long setae (arrowed)
Fig. 5 in Phylogenetic relationships of the bumblebees Bombus moderatus, B. albocinctus, B. burjaeticus, B. florilegus and B. cryptarum based on mitochondrial DNA markers: a complex of closely related taxa with circumpolar distribution (Hymenoptera: Apidae: Bombus))
Fig. 5: Tree topology calculated as Maximum-Likelihood tree using Bayesian MCMC analysis with the general time reversal model of base substitution and gamma distribution for degraded DNA of museum specimens, only parsimony informative triplets included.
Fig. 4 in Phylogenetic relationships of the bumblebees Bombus moderatus, B. albocinctus, B. burjaeticus, B. florilegus and B. cryptarum based on mitochondrial DNA markers: a complex of closely related taxa with circumpolar distribution (Hymenoptera: Apidae: Bombus))
Fig. 4: Observed diagnostic character changes with position numbers mapped onto the Maximum- Likelihood tree. Black box = unambiguous diagnostic charactercharacter change, grey box = ambiguous diagnostic charactercharacter change, and white box = character change.
Fig. 3 in Phylogenetic relationships of the bumblebees Bombus moderatus, B. albocinctus, B. burjaeticus, B. florilegus and B. cryptarum based on mitochondrial DNA markers: a complex of closely related taxa with circumpolar distribution (Hymenoptera: Apidae: Bombus))
Fig. 3: Alignment of all parsimonious informative triplets (with uninformative sites deleted -), and with a pointer for position number (numbered for total COI) and codon position. Diagnostic (= private) positions marked with colour green = Thymine, violet = Cytosine, red = Adenine and yellow = Guanine.
Fig. 2 in Phylogenetic relationships of the bumblebees Bombus moderatus, B. albocinctus, B. burjaeticus, B. florilegus and B. cryptarum based on mitochondrial DNA markers: a complex of closely related taxa with circumpolar distribution (Hymenoptera: Apidae: Bombus))
Fig. 2: Tree topology calculated as Maximum-Likelihood tree using Bayesian MCMC analysis with the general time reversal model of base substitutions with gamma distribution.
Data from: Diversity of land snail tribe Helicini (Gastropoda: Stylommatophora: Helicidae): where do we stand after 20 years of sequencing mitochondrial markers?
<p>Sequences of mitochondrial genes revolutionized the understanding of animal diversity and continue to be an important tool in biodiversity research. In the tribe Helicini, a prominent group of the western Palaearctic land snail fauna, mitochondrial data accumulating since the 2000s helped to newly delimit genera, inform species-level taxonomy, and reconstruct past range dynamics. We combined the published data with own unpublished sequences and provide a detailed overview of what they revealed about the diversity of the group. The delimitation of <i>Helix</i> is revised by placing <i>Helix godetiana</i> back in the genus and new synonymies are suggested within the genera <i>Codringtonia</i> and<i> Helix</i>. The spatial distribution of intraspecific mitochondrial lineages of several species is shown for the first time. Comparisons between species reveal considerable variation in distribution patterns of intraspecific lineages, from broad postglacial distributions to regions with a fine-scale pattern of allopatric lineage replacement. To provide a baseline for further research and information for anyone re-using the data, we thoroughly discuss the gaps in the current dataset, focusing on both taxonomic and geographic coverage. Thanks to the wealth of data already amassed and the relative ease with which they can be obtained, mitochondrial sequences remain an important source of information on intraspecific diversity over large areas and taxa.</p>
Phylomitogenomics reveals mito-nuclear concordance in social wasps: the performance of mitochondrial markers and gene order for hymenopteran systematics.
<p>Mitochondrial (mtDNA) genes have served as widely utilized genetic loci for animal phylogenetics and phylogeography studies. However, the phylogenetic performance of many mtDNA genes has not been empirically evaluated across lineages within hymenopteran wasps. To address this question, we assembled and analyzed mitogenomic data from social wasps, representing the four recognized tribes of Polistinae and also all Epiponini genera. Additionally, we evaluated whether mtDNA gene order in Polistinae is congruent with its tribal classification. Using concatenation phylogenetic methods, we show phylogenetic congruence between mitogenomic and nuclear data. Statistically comparing the phylogenetic performance of individual mtDNA genes, we demonstrate that for social wasps the molecular markers COI, 16S, NAD5, and NAD2 perform best, while ATP6, COII, and 12S show the worst results. Finally, we verified that the tRNA cluster close to the noncoding region is a hotspot of rearrangement in Vespidae and can be used as additional information for the systematics of this group. Together, these results indicate that mitogenomes contain robust phylogenetic signal to elucidate the evolutionary history of Vespidae. Moreover, our study identifies the best choice of mitochondrial markers for systematic investigations of social wasps.</p>
Data from: Comparative phylogeography of trans-Andean freshwater fishes based on genome-wide nuclear and mitochondrial markers
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Data from: Diversity of land snail tribe Helicini (Gastropoda: Stylommatophora: Helicidae): where do we stand after 20 years of sequencing mitochondrial markers?
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Comparative phylogeography reveals consistently shallow genetic diversity in a mitochondrial marker in Antarctic bdelloid rotifers
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FIGURE 10 in Phylogeny of the genus Austinixa Heard & Manning, 1997, inferred from mitochondrial and nuclear molecular markers, with descriptions of three new species and redescription of Austinixa felipensis (Glassell, 1935) (Decapoda: Brachyura: Pinnotheridae)
FIGURE 10. Austinixa felipensis; male, cw 12.3 mm (ULLZ 5556); from San Felipe, Baja California, Mexico. A, carapace, chelipeds, and right ambulatory appendages, dorsal; B, carapace frontal region, from anterior; C. third maxilliped, external; D, right chela, internal; E, right cheliped, external; F, left cheliped internal; G, left cheliped external; H, right pereopod 2, dorsal; I, right pereopod 3, dorsal; J, right pereopod 4, dorsal; K, right pereopod 5, dorsal. Scale bars = 2.0 mm.
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.