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262 results for “Genetic variability”
FIGURES 20–21 in Morphological and genetic variability of Baetis (Rhodobaetis) braaschi Zimmermann, 1980 (Ephemeroptera: Baetidae)
FIGURES 20–21. Baetis braaschi, coloration of the imago male, Eastern Ukraine: 20, thorax and head, lateral view; 21, head, lateral view.
FIGURES 12–17 in Morphological and genetic variability of Baetis (Rhodobaetis) braaschi Zimmermann, 1980 (Ephemeroptera: Baetidae)
FIGURES 12–17. Baetis braaschi, shape of setae on pedicel: 12–13, Crimea; 14–15, Caucasus; 16–17, Eastern Ukraine.
FIGURES 3–11 in Morphological and genetic variability of Baetis (Rhodobaetis) braaschi Zimmermann, 1980 (Ephemeroptera: Baetidae)
FIGURES 3–11. Baetis braaschi, variability of the selected morphological characters: 3, shape of third segment of labial palp, Eastern Ukraine; 4, shape of third segment of labial palp, Crimea; 5, posterior margin of tergum IV, Eastern Ukraine; 6, posterior margin of tergum IV, Crimea; 7, posterior margin of tergum IV, Caucasus; 8, margin of paraproct plate, Crimea; 9, margin of paraproct plate, Caucasus; 10–11, margin of paraproct plate, Eastern Ukraine.
FIGURE 1 in Morphological and genetic variability of Baetis (Rhodobaetis) braaschi Zimmermann, 1980 (Ephemeroptera: Baetidae)
FIGURE 1. Map of the distribution of Baetis braaschi. Highlighted area—areal of the species; black points—localities of sampling for the present study.
FIGURE 24 in Morphological and genetic variability of Baetis (Rhodobaetis) braaschi Zimmermann, 1980 (Ephemeroptera: Baetidae)
FIGURE 24. Minimum spanning tree of 7 haplotypes. The base substitutions are marked by circles. Specimens exhibiting Eastern Ukrainian morphotype marked by "*", specimens exhibiting Crimean morphotype marked by "#".
FIGURE 2 in Morphological and genetic variability of Baetis (Rhodobaetis) braaschi Zimmermann, 1980 (Ephemeroptera: Baetidae)
FIGURE 2. Scheme of the labial palp measurements. The value q representing the degree of asymmetry was computed as q=a/b.
FIGURE 25 in Morphological and genetic variability of Baetis (Rhodobaetis) braaschi Zimmermann, 1980 (Ephemeroptera: Baetidae)
FIGURE 25. Topology of the Bayesian and ML tree of the molecular dataset. The numbers above branches are values of Bayesian posterior probability (first number, only values above 0.50 are displayed) and ML bootstrap support (second number, only values above 50% are displayed). Roman numbers indicate individual haplotypes as recognized by the TCS analysis. Specimens exhibiting Eastern Ukrainian morphotype marked by "*", specimens exhibiting Crimean morphotype marked by "#".
FIGURE 22–23 in Morphological and genetic variability of Baetis (Rhodobaetis) braaschi Zimmermann, 1980 (Ephemeroptera: Baetidae)
FIGURE 22–23. Baetis braaschi, hind wing (dorsal view): 22, Eastern Ukraine; 23, Crimea. Figure 23 redrawn from Godunko et al. (2004a).
Origin and genetic variability of populations of the invasive plant Rumex alpinus L. in the Giant (Krkonoše) Mountains
<p><span>Monk's rhubarb, <em>Rumex</em> <em>alpinus</em> L. (<em>R. alpinus</em>), is a perennial plant native to the mountains of Central and Southern Europe. Currently, the distribution of <em>R. alpinus</em> has been partly affected by its utilization as a vegetable and a medicinal herb. In the mountains of the Czech Republic, it is considered an invasive plant, probably introduced into the Krkonoše Mountains by colonists from the Alps. </span></p> <p><span>This study's main aim was to verify whether <em>R. alpinus</em> was introduced into the Krkonoše Mountains by alpine colonists or whether it was anthropogenically introduced from the Carpathians. Furthermore, the genetic structure of native and introduced populations of <em>R. alpinus</em> was determined.</span></p> <p><span>For the evaluation of genetic structure, 417 samples of <em>R. alpinus</em> were collected from the Alps, Carpathians, Balkan, Pyrenees, and Czech Mountains. In total, 12 simple sequence repeat (SSR) markers were applied.</span></p> <p><span>The results of AMOVA showed a high 60% variation within populations, 27% variation among groups, and 13% among the population within groups. The overall unbiased gene diversity was high (ĥ = 0.55). The higher level of genetic differentiation among populations (<em>F</em><sub>ST</sub> = 0.35; <em>p</em> < 0.01) indicated restricted gene flow between populations. Compared to native populations, limited genetic variability was observed in the nonnative populations. It was concluded that local adaptation, low gene exchange, and genetic drift affected the genetic diversity of nonnative <em>R. alpinus</em>.</span></p> <p><span>The results support a genetic link between Alpine and Czech genotypes of <em>R. alpinus</em>, while the Carpathians genotypes corresponded to the Balkan genotype.</span></p>
Genetic Bases of COVID-19 Clinical Variability
ClinicalTrials.gov study NCT04549831. IPD Sharing: YES. Countries: 1. Publications: 4.
Genetic Variability in CYP2D6 in U.S Active Duty Population
ClinicalTrials.gov study NCT02960568. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Genetic Variability in Taste Perception
ClinicalTrials.gov study NCT01841710. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Genetic Polymorphism Associated With Coronary Heart Disease Susceptibility and Variability of Clopidogrel Response
ClinicalTrials.gov study NCT03373552. IPD Sharing: NO. Countries: 1. Publications: 1.
Genetic Variants and Non-genetic Variables and Postoperative Nausea and Vomiting
ClinicalTrials.gov study NCT03490175. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Genetic Sources of Variability of the Adaptation of the Ventricular Repolarisation
ClinicalTrials.gov study NCT00773201. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Food Matrix and Genetic Variability as Determinants of Bioavailability and Biological Effects of Beta-cryptoxanthin and Phytosterols
ClinicalTrials.gov study NCT02065024. IPD Sharing: Not stated. Countries: 1. Publications: 1.
The Burden and Genetic Variability of Extended-Spectrum ß-Lactamase (ESBL) - Producing Pathogens in Swiss Children
ClinicalTrials.gov study NCT00894036. IPD Sharing: Not stated. Countries: 1. Publications: 10.
Data from: Short-distance barriers affect genetic variability of Rhizophora mangle L. in the Yucatan Peninsula
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Data from: Ancient landscapes of the Namib Desert harbour high levels of genetic variability and deeply divergent lineages for Collembola
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Data from: Genetic variation in variability: phenotypic variability of fledging weight and its evolution in a songbird population
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.