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6,383 results for “isolates”
Figures 5–11 in Morphological, ultrastructural, and molecular identification of a new microsporidian pathogen isolated from Crepidodera aurata (Coleoptera, Chrysomelidae)
Figures 5–11. Ultrastructure of spores of the new microsporidian pathogen from Crepidodera aurata. 5–8. Longitudinal sections through the mature spores isolated from the same host species at different times. All spores have unpaired nuclei. 9, 10. Anterior part of the mature spore. Two parts of the polaroplast are noticeable. 11. Cross-section of polar filament. Six layers of the isofilar polar filament are clearly visible. AD: Anchoring disk; EN: Endospore; EX: Exospore; MA: Manubrium; N: Nucleus; PF: Polar filament; PFs: the small cross-sections of the polar filament; PP: Polaroplast; PP1: lamellar and PP2: vesicular part of the polaroplast; PS: polar sac. Scale bars: 1 µm for Figures 5–7, 0.2 µm for Figures 8–10, and 0.1 µm for Figure 11.
Figures 1–4 in Morphological, ultrastructural, and molecular identification of a new microsporidian pathogen isolated from Crepidodera aurata (Coleoptera, Chrysomelidae)
Figures 1–4. Light microscopy of fresh (1) and Giemsa-stained stages (2–4) of the new microsporidian pathogen from Crepidodera aurata. Note that all stages have unpaired nuclei (no diplokarya) and are located in direct contact with the host-cell cytoplasm and not inside parasitophorous vacuoles. 1. Fresh spores. 2. Meronts (arrows). 3. Sporonts (arrows) and sporoblasts (arrowheads). 4. Mature spores. Scale bars: 5 µm.
Fig. 1 in Morphological and molecular characterization of parabasilids isolated from ex situ nonhuman primates and their keepers at different institutions in Brazil
Fig. 1. Diversity of species of group Parabasalia, characterized by molecular techniques, in samples from NHPs and their keepers at institutions in the Brazilian states of Par´a (northern region), Rio de Janeiro and S˜ao Paulo (southeast region) and Santa Catarina (southern region).
Summary of steps from Phytophthora colocasiae isolation and identification to mycelium production
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FIGURE 2 in Entoloma chamaemori (Entolomataceae, Basidiomycota)-a new boreal species, with isolated phylogenetic position
FIGURE 2. Entoloma chamaemori. Holotype in situ. Photo Jostein Lorås
FIGURE 3 in Entoloma chamaemori (Entolomataceae, Basidiomycota)-a new boreal species, with isolated phylogenetic position
FIGURE 3. Entoloma chamaemori. Habitat in Holmvassdalen Nature Reserve. Photo Jostein Lorås.
Giotto - Interoperability with isolated tools (ONTraC)
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DuoReduce: Bug Isolation for Multi-Layer Extensible Compilation
<p>Reproduction package for DuoReduce</p>
Figure 1 in The diversity of ants in moderately isolated islands of Japan: towards understanding of factors affecting their colonisation success
Figure 1. Location of the study islands and the main-island reference regions.
RASE Database with Isolates from the Gambia and Togo
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NMR raw spectra of 15 compounds isolated from Psiloxylon mauritianum (Bouton ex Hook.f.) Baill.
<p>NMR raw data containing 1H, 13C, COSY, HSQC, HMBC and NOESY spectra of 15 isolated compounds from a plant endemic of La Réunion and Mauritius island. Phytochemical investigation was conducted between 2021 and 2023 and was funded <span>by the European Regional Development Funds GURDTI 2018-1829-0002370 (FEDER PHAR, EU-Region Reunion-French State national counterpart).</span></p>
Wildtype Escherichia coli and Enterococcus lactis isolated from HK WWTP
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Antibacterial Activity of Micrococcus luteus YSD1 Isolated from Velankanni Water Source, Tamil Nadu
<p>The present study demonstrates the antibacterial activity of marine bacteria isolated from Velankanni Beach, Chennai, India. Five distinct isolates were identified, with <em>Micrococcus luteus</em> (YSD1) exhibiting the most promising antibacterial properties. The crude compounds extracted from YSD1 were examined for their antibacterial activity using the agar-well diffusion method against <em>Proteus mirabilis</em> ATCC 25933, <em>Bacillus</em> <em>subtilis</em>, <em>Bacillus cereus</em>, and methicillin-resistant <em>Staphylococcus aureus</em> (MRSA) ATCC 43300. Gas chromatography-mass spectrometry (GC-MS) analysis revealed 2-pentanone at high intensity, with potential applications in cancer treatment. This research underscores the potential of marine ecosystems as a source of novel antibiotics and the significance of reliable approaches in pharmaceutical discovery. Further research is required to corroborate these findings against a wider range of pathogens and to explore their ameliorative potential and mechanisms of action. The results of this study contribute to the wider field of research by spotlighting the untapped potential of marine ecosystems in bringing novel antibiotics to light, thereby paving the way for future studies to combat antibiotic resistance.</p>
Analysis result - base isolator low rise building
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Fig. 4 in Antioxidant and anticholinesterase potential of Ferulago cassia with farther bio-guided isolation of active coumarin constituents *
Fig. 4. DPHH free radical scavenging activity of Ferulago cassia methanolic extracts.
Fig. 1 in Antioxidant and anticholinesterase potential of Ferulago cassia with farther bio-guided isolation of active coumarin constituents *
Fig. 1. The isolation procedure of pure compounds from dichloromethane fraction.
Fig. 2 in Antioxidant and anticholinesterase potential of Ferulago cassia with farther bio-guided isolation of active coumarin constituents *
Fig. 2. Chemical structures of coumarins isolated from Ferulago cassia.
Table 3 in Antioxidant and anticholinesterase potential of Ferulago cassia with farther bio-guided isolation of active coumarin constituents *
<p><b>Table 3</b> In vitro AChE and BuChE inhibitory activities of samples from <i>Ferulago cassia</i> at 20 μg/mL.</p><table><tbody><tr><th>Samples</th><th>Enyzmes</th><th>Percentile of inhibition ± S.E.M a against AChE and BuChE</th></tr></tbody><tbody><tr><th></th><td></td><td>Aerial part</td><td>Root</td><td>Flower</td><td>Fruit</td></tr><tr><th>MeOH</th><td>AChE</td><td>4.78 ± 3.45</td><td>17.21 ± 3.20</td><td>18.35 ± 4.12</td><td>25.01 ± 3.65</td></tr><tr><td>BuChE</td><td>44.23 ± 1.96</td><td>69.22 ± 2.98</td><td>48.11 ± 1.78</td><td>55.41 ± 1.59</td></tr><tr><th>Hexane</th><td>AChE</td><td>b</td><td>3.66 ± 3.43</td><td>c</td><td>b</td></tr><tr><td>BuChE</td><td>27.33 ± 2.55</td><td>45.27 ± 1.87</td><td>40.01 ± 3.59</td><td>38.23 ± 1.78</td></tr><tr><th>CH2Cl2</th><td>AChE</td><td>b</td><td>53.24 ± 1.22</td><td>31.38 ± 5.41</td><td>29.14 ± 2.21</td></tr><tr><td>BuChE</td><td>42.39 ± 3.04</td><td>96.56 ± 2.98</td><td>79.71 ± 1.08</td><td>82.33 ± 2.69</td></tr><tr><th>EtOAc</th><td>AChE</td><td>ND c</td><td>5.98 ± 2.46</td><td>b</td><td>10.57 ± 4.05</td></tr><tr><td>BuChE</td><td>7.67 ± 1.78</td><td>36.43 ± 2.93</td><td>49.18 ± 3.51</td><td>50.61 ± 3.51</td></tr><tr><th>BuOH</th><td>AChE</td><td>b</td><td>c</td><td>c</td><td>b</td></tr><tr><td>BuChE</td><td>17.89 ± 1.41</td><td>19.58 ± 3.76</td><td>41.59 ± 2.05</td><td>b</td></tr><tr><th>Aqueous residue</th><td>AChE</td><td>b</td><td>b</td><td>b</td><td>b</td></tr><tr><td>BuChE</td><td>c</td><td>c</td><td>b</td><td>c</td></tr><tr><th>Lyophilized aqueous</th><td>AChE</td><td>1.45 ± 1.22</td><td>5.66 ± 3.24</td><td>c</td><td>b</td></tr><tr><td>BuChE</td><td>10. 56 ± 3.50</td><td>25.87 ± 4.21</td><td>16.78 ± 2.43</td><td>24.77 ± 2.49</td></tr><tr><th>Peucedanol</th><td>AChE</td><td>50.02 ± 2.09</td><td></td><td></td><td></td></tr><tr><td>BuChE</td><td>76.22 ± 2.13</td><td></td><td></td><td></td></tr><tr><th>Suberosin</th><td>AChE</td><td>17.60 ± 2.05</td><td></td><td></td><td></td></tr><tr><td>BuChE</td><td>71.67 ± 4.67</td><td></td><td></td><td></td></tr><tr><th>Grandivitinol</th><td>AChE</td><td>49.58 ± 5.44</td><td></td><td></td><td></td></tr><tr><td>BuChE</td><td>b</td><td></td><td></td><td></td></tr><tr><th>Umbelliferone</th><td>AChE</td><td>61.09 ± 4.46</td><td></td><td></td><td></td></tr><tr><td>BuChE</td><td>40.99 ± 5.61</td><td></td><td></td><td></td></tr><tr><th>Donepezil</th><td>AChE</td><td>82.45 ± 2.64</td><td></td><td></td><td></td></tr><tr><td>BuChE</td><td>90.33 ± 4.16</td><td></td><td></td><td></td></tr></tbody></table><p><sup>a</sup> Standard error mean.</p><p><sup>b</sup> No activity.</p><p><sup>c</sup> Not detected because of turbidity in the wells of microplates.</p>
Table 2 in Antioxidant and anticholinesterase potential of Ferulago cassia with farther bio-guided isolation of active coumarin constituents *
<p><b>Table 2</b> Antioxidant activities of the samples from <i>Ferulago cassia</i> in TBA test.</p><table><tbody><tr><th>Tested samples</th><th>IC50 values (μg/mL) ± SD*</th></tr></tbody><tbody><tr><th></th><td>Aerial part</td><td>Root</td><td>Flower</td><td>Fruit</td></tr><tr><th>MeOH</th><td>195.42 ± 4.25</td><td>92.21 ± 3.44</td><td>178.31 ± 4.33</td><td>155.67 ± 3.66</td></tr><tr><th>Hexane</th><td>500></td><td>500></td><td>500></td><td>500></td></tr><tr><th>CH2Cl2</th><td>85.66 ± 5.02</td><td>43.10 ± 2.23</td><td>101.13 ± 2.34</td><td>52.45 ± 1.67</td></tr><tr><th>EtOAc</th><td>145.65 ± 2.57</td><td>112.10 ± 3.47</td><td>181.21 ± 1.06</td><td>94.91 ± 3.41</td></tr><tr><th>BuOH</th><td>345.21 ± 4.30</td><td>471.31 ± 4.91</td><td>383.23 ± 2.43</td><td>276.51 ± 1.66</td></tr><tr><th>Aqueous residue</th><td>500></td><td>500></td><td>500></td><td>500></td></tr><tr><th>Lyophilized aqueous</th><td>500></td><td>464.89 ± 2.09</td><td>489 ± 3.28</td><td>356 ± 1.93</td></tr><tr><th>Peucedanol</th><td>18.12 ± 2.80</td><td></td><td></td><td></td></tr><tr><th>Suberosin</th><td>23.54 ± 2.43</td><td></td><td></td><td></td></tr><tr><th>Grandivitinol</th><td>61.11 ± 4.23</td><td></td><td></td><td></td></tr><tr><th>Umbelliferone</th><td>79.53 ± 3.98</td><td></td><td></td><td></td></tr><tr><th>Chlorogenic acid</th><td>12.98 ± 4.89</td><td></td><td></td><td></td></tr><tr><th>Propyl gallate</th><td>3.44 ± 2.05</td><td></td><td></td><td></td></tr><tr><th>Rutin</th><td>9.65 ± 3.09</td><td></td><td></td><td></td></tr></tbody></table><p>* Standard deviation.</p>
Data from: Habitat amount, not patch size and isolation, drives species richness of macro‐moth communities in countryside landscapes
Aim: Our aim is to test whether species richness patterns are best explained by the effect of the total amount of habitat within the landscape, or instead by a combination of patch size and patch isolation effects. To this end, we jointly contrast the habitat amount hypothesis and countryside biogeography with patch size and isolation concepts from island biogeography. Location: Three multi-habitat landscapes in Peneda-Gerês National Park, NW Portugal. Taxon: Macro-moths (Lepidoptera). Methods: Light-trapping using a semi-nested design at 84 fixed sites which were each repeatedly sampled six times. Results: Autocovariate models show that sampling sites with a higher number of forest and meadow macro-moth species (alpha diversity) were surrounded by a higher amount of forest and meadow habitat, respectively within a 160 and 320 m radius (scale of effect). These top-ranked models, containing only habitat amount as a significant variable, had lower AIC than models (only) containing patch size and/or isolation. Complementary to this, the countryside species-area relationship (SAR) model outperforms the classic SAR model, so that the effective area of habitat explains landscape species richness (gamma diversity) across spatial scales (beta diversity) better than the classic SAR. Specifically, we show that forest macro-moths have a higher spatial turnover than meadow macro-moths and that, on average, there are more species in forest than in meadow habitat. Main conclusions: The habitat amount hypothesis predicts alpha species richness in multi-habitat landscapes better than do patch size and isolation while the countryside SAR predicts beta and gamma diversity better than the classic SAR. We suggest that evidence is mounting to revise the application of the classical approaches of island biogeography and metapopulation theory to conservation biogeography.
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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.