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15,277 results for “GENETICS”
Figure 6. Conopeum oretiensis, 1951 in The bryozoan genus Conopeum (Electridae) in New Zealand, with description of a new species and discussion of the morphological and genetic characters of Conopeum seurati (Canu, 1928)
Figure 6. Conopeum oretiensis, 1951: (a, b), MITS 28211, Manukau Harbour, Auckland; (c), NIWA 132866, Oreti Beach, Southland, New Zealand. (a, b), Bipolar colony astogeny from ancestrula. (c), Etched traces in shell substratum from previously present autozooids. Scalebars: (a), 500 μm; (b, c), 200 μm.
Figure 5. Conopeum oretiensis Uttley, 1951 in The bryozoan genus Conopeum (Electridae) in New Zealand, with description of a new species and discussion of the morphological and genetic characters of Conopeum seurati (Canu, 1928)
Figure 5. Conopeum oretiensis Uttley, 1951: (a), NIWA 92728, Waiinu Beach, Wanganui; (b), MITS 28211, Manukau Harbour, Auckland; (c), unregistered specimen, no longer extant, Napier; (d), NIWA 132866, Oreti Beach, Southland, New Zealand. (a), Autozooids, each with small spine bases, mostly distolateral, and large midproximal spine base; note extent of proximal gymnocyst. (b), Autozooids with periopesial spines intact and adventitious kenozooids. (c), Autozooids, showing some spine bases and numerous adventitious kenozooids; autozooid cystid at middle right with reparative kenozooid inside its cystid. (d), Autozooid with interzooidal margins and gymnocyst completely concealed by kenozooids. Scalebars: (a–c), 300 μm; (d), 200 μm.
Figure 4 in The bryozoan genus Conopeum (Electridae) in New Zealand, with description of a new species and discussion of the morphological and genetic characters of Conopeum seurati (Canu, 1928)
Figure 4. Conopeum seurati (Canu, 1928): (a, c), NIWA 98946, Whanganui Inlet, South Island, New Zealand; (b), NIWA 134508, Piombino, Tuscany, Italy. (a), Autozooids showing the peripheral cryptocystal groove, and a small kenozooid. (b), Lateral view of the cryptocystal rim of an autozooid, showing part of the peripheral grove, granules, minute pores (in the groove and lateral interior wall, and multiporous septula). (c), Lateral view of an autozooid and its proximal neighbour with mural septula. Scalebars: (a, c), 200 μm; (b), 100 μm.
Figure 3 in The bryozoan genus Conopeum (Electridae) in New Zealand, with description of a new species and discussion of the morphological and genetic characters of Conopeum seurati (Canu, 1928)
Figure 3. (a–e). Conopeum seurati (Canu, 1928): A, B, NHMUK 2020.1.3.1, Wadi Bezirk, Tunisia; (c–e), MNHN, Paris, A66832, Wadi Abid, Tunisia. (a), Autozooids and kenozooids of unbleached specimen. (b), Distal end of autozooid showing cryptocystal groove, cryptocystal granules and acicular spinules on transverse interior wall. (c), Specimen of Nitscheina spiculata [= C. seurati]. (d, e), Unbleached autozooids of zooids from (c), showing, respectively, distolateral spines and a kenozooid. Scalebars: (a, d), 500 μm; (b), 100 μm; (e), 200 μm.
Figure 1 in The bryozoan genus Conopeum (Electridae) in New Zealand, with description of a new species and discussion of the morphological and genetic characters of Conopeum seurati (Canu, 1928)
Figure 1. (a–d). Conopeum antipodum n. sp.: NIWA 98813, Te Whanga Lagoon, Chatham Island, New Zealand. (a), Autozooids with membranous frontal walls and opercula in situ. (b), Autozooids with stout distolateral spines. (c), Post-ancestrular autozooids with stout distolateral spines and smaller lateral spines. (d), Ancestrula and daughter zooids. Arrows in (c) and (d) indicate communication-pore areas in lateral walls. Scalebars: All 200 μm.
Figure 2 in The bryozoan genus Conopeum (Electridae) in New Zealand, with description of a new species and discussion of the morphological and genetic characters of Conopeum seurati (Canu, 1928)
Figure 2. (a–e). Conopeum antipodum n. sp.: (a, b), NIWA 98813, Te Whanga Lagoon, Chatham Island; (c, e), NIWA 16174, Kaipara Harbour; (d), NIWA 98824, Waitemata Harbour, Auckland, New Zealand. (a), Inner face of operculum showing the form of the marginal sclerite. (b), Two kenozooids flanking a repaired autozooid. (c), Lateral view of an autozooid with mural septula and stumpy spine bases on each side midlaterally. Arrows indicate raised distal zooid rims in profile. (d), Distal end on an autozooid showing a dense pore cluster in the transverse wall and (arrowed), inner (left) and outer (right) multiporous mural septula. (e), Close-up of the interior face of a multiporous mural septulum. Scalebars: (a, d), 50 μm; (b), 200 μm; (c), 100 μm; (e), 20 μm.
Stresses affect inbreeding depression in complex ways: Disentangling stress-specific genetic effects from effects of initial size in plants
<p>The magnitude of inbreeding depression (ID) varies unpredictably among environments. ID often increases in stressful environments suggesting that these expose more deleterious alleles to selection or increase their effects. More simply, ID could increase under conditions that amplify phenotypic variation (CV²), e.g. by accentuating size hierarchies among plants. These mechanisms are difficult to distinguish when stress increases both ID and phenotypic variation. We grew in- and outbred progeny of <i>Mimulus guttatus</i> under six abiotic stress treatments (control, waterlogging, drought, nutrient deficiency, copper addition and clipping) with and without competition by the grass <i>Poa palustris</i>. ID differed greatly among stress treatments with δ varying from 7% (control) to 61% (waterlogging) but did not consistently increase with stress intensity. <i>Poa</i> competition increased ID under nutrient deficiency but not other stresses. Analyzing effects of initial size on performance of outbred plants suggests that under some conditions (low N, clipping) competition increased ID by amplifying initial size differences. In other cases (e.g., high ID under waterlogging), particular environments amplified the deleterious genetic effects of inbreeding suggesting differential gene expression. Interestingly, conditions that increased the phenotypic variability of inbred progeny regularly increased ID whereas variability among outbred progeny showed no relationship to ID. Our study reconciles the stress- and phenotypic variability hypotheses by demonstrating how specific conditions (rather than stress <i>per se</i>) act to increase ID. Analyzing CV² separately in inbred and outbred progeny while including effects of initial plant size improve our ability to predict how ID and gene expression vary across environments.</p>
A genetic and computational approach to structurally classify neuronal types
<p>This a missing piece of supplemental information that should accompany the article</p> <p>A genetic and computational approach to structurally classify neuronal types</p> <ul> <li>Uygar Sümbül,</li> <li>Sen Song,</li> <li>Kyle McCulloch,</li> <li>Michael Becker,</li> <li>Bin Lin,</li> <li>Joshua R. Sanes,</li> <li>Richard H. Masland</li> <li>& H. Sebastian Seung</li> </ul> <p>The file was kindly supplied by Uygar Sumbul, but has not yet appeared on the nature communications website.</p> <p> </p>
Dataset from "Employing hidden Markov models to assess the genetic content of genome assemblies"
<p>Dataset used to reach the conclusions in "Employing hidden Markov models to assess the genetic content of genome assemblies".</p>
Genetic risk factors for restenosis after percutaneous coronary intervention in Kazakh population
<p>QuantStudio 12K Flex (Life Technologies) raw data files</p>
Informative data about the biological sample studied in the article "Nineteenth century French rose (Rosa sp.) germplasm shows a shift over time from a European to an Asian genetic background"
<p>Informative data about the biological sample studied in the article "Nineteenth century French rose (<em>Rosa </em>sp.) germplasm shows a shift over time from a European to an Asian genetic background" published in Journal of Experimental Botany (https://doi.org/10.1093/jxb/erw269)</p>
Supplemental Data for "Modeled Fetal Risk of Genetic Diseases Identified by Expanded Carrier Screening"
<p>Data file accompanying: Haque IS, Lazarin GA, Kang HP, Evans EA, Goldberg JD, Wapner RJ. Modeled Fetal Risk of Genetic Diseases Identified by Expanded Carrier Screening. <em>JAMA. </em>2016;316(7):734-742. doi:10.1001/jama.2016.11139</p> <p>(SRC = self-reported racial/ethnic category; TG = targeted genotyping; NGS = next-generation sequencing)</p> <p>Data file includes:</p> <ul> <li><strong>Couple Data: </strong>Number of self-identified reproductive couples, separated by tandem or sequential screening status and by (mother SRC, father SRC)</li> <li><strong>Disease Severity</strong>: List of all diseases tested with severity rating as used in the manuscript.</li> <li><strong>Allele Data</strong>: Listing of all alleles considered pathogenic in manuscript's data analysis, with number of observations and number of tested chromosomes in each SRC.</li> <li><strong>Chromosome Frequencies</strong>: for each disease in each SRC: <ul> <li>Effective total chromosome count (effective sample size after integrating TG and NGS-only alleles).</li> <li>Beta posterior a,b: parameters a, b for the best-fit beta distribution approximating the probability that a random chromosome in this SRC carries a pathogenic allele (integrating both TG and NGS alleles).</li> <li># Chromosomes total/positive for TG alleles</li> <li># Chromosomes total/positive for NGS alleles</li> <li># Chromosomes total/positive for individuals tested by TG</li> <li># Chromosomes total/positive for individuals tested by NGS</li> </ul> </li> <li><strong>Disease Risks</strong>: for each disease in each pairing of SRCs <ul> <li>Father/Mother computed carrier frequency: probability that a random individual from father/mother's SRC is a carrier for the given disease</li> <li>Computed risk of affected conceptus (mean, 2.5, 97.5 percentiles): mean and CI of the posterior distribution over the probability that a random conceptus arising from the racial/ethnic pairing indicated would be homozygous or compound heterozygous for pathogenic alleles for the indicated disease.</li> <li>Computed carrier couple frequency: probability that a random couple from the given SRCs would be a carrier couple for the indicated disease (ie, that both members of the couple would be carriers for the indicated disease)</li> <li>Total couples: number of tandemly-tested couples of the indicated SRC pairing who both had the "routine carrier testing" indication for testing and were both tested for the given disease</li> <li>Number of carrier couple: from the set of "Total couples", the number of couples in which both members were carriers for the indicated disease</li> <li>Number of carrier couples expected: based on computed carrier couple frequency and number of tested couples, the expected number of carrier couples under the model described in sections 4.3.2 and 4.4 of the supplement.</li> <li>P-value: probability that the number of observed carrier couples or a more extreme count would have occurred by chance, given the posterior distribution over carrier couple counts (see section 4.4 of the supplement). One-tailed p-value.</li> </ul> </li> </ul>
FIGURE 5 in Taxonomic diagnosis of Dicyrtomina ornata and D. saundersi (Collembola: Dicyrtomidae) and analysis of their population genetic structure
FIGURE 5. Unrooted phylogenetic tree constructed with Freqpars (Swofford & Berlocher 1987) on the basis of allele frequencies.
FIGURE 4 in Taxonomic diagnosis of Dicyrtomina ornata and D. saundersi (Collembola: Dicyrtomidae) and analysis of their population genetic structure
FIGURE 4. UPGMA dendrogram showing evolutionary relationships between populations based on genetic identity values (Nei 1978).
FIGURE 3 in Taxonomic diagnosis of Dicyrtomina ornata and D. saundersi (Collembola: Dicyrtomidae) and analysis of their population genetic structure
FIGURE 3. Map of collecting sites. See Table 1 for abbreviations. Solid boxes are sites where only D. ornata was found; solid circles are sites where only D. saundersi was found; asterisks are sites where both species live sympatrically.
FIGURE 2 in Genetic evidence supports Sylvilagus mansuetus (Lagomorpha: Leporidae) as a subspecies of S. bachmani
FIGURE 2. Phylogram produced by the Bayesian analysis of concatenated genes (1,854 bp): Cyt b (800 bp), COI (654 bp), and β-fib I7 (400 bp). All specimens of the 3 subspecies of Sylvilagus bachmani, i.e. S. b. cerrosensis, S. b. mariposae, S. b. macrorhinus, and S. mansuetus were monophyletic. Nodes with solid circles have a posterior probability values of 1.0.
FIGURE 1 in Genetic evidence supports Sylvilagus mansuetus (Lagomorpha: Leporidae) as a subspecies of S. bachmani
FIGURE 1. Map of the distribution area of Sylvilagus bachmani (in grey) and examined specimens of S. mansuetus and the three different subspecies of S. bachmani: S. b. cerrosensis, S. b. mariposae, and S. b. macrorhinus, from the Baja California Peninsula, Mexico, and California, USA.
FIGURE 6. Genetic relationships between Munidopsis myojinensis and M in A new species of vent associated Munidopsis (Crustacea: Decapoda: Anomura: Galatheidae) from the Western Pacific, with notes on its genetic identification
FIGURE 6. Genetic relationships between Munidopsis myojinensis and M. lauensis based on DNA sequences. Munida taenia is the outgroup.
FIGURE 4 in A new species of vent associated Munidopsis (Crustacea: Decapoda: Anomura: Galatheidae) from the Western Pacific, with notes on its genetic identification
FIGURE 4. Munidopsis myojinensis paratype male (LACM CR 2004-019.1); a, carapace, frontal region, dorsal; b, right anterior part of carapace, lateral; c, right P1, dorsal; d, left P1, dorsal, with details of merus, ventral; e, thoracic sternum; f, right P2, lateral; g, right P5, lateral. Scales = 3 mm.
FIGURE 2 in A new species of vent associated Munidopsis (Crustacea: Decapoda: Anomura: Galatheidae) from the Western Pacific, with notes on its genetic identification
FIGURE 2. Munidopsis myojinensis holotype female (NSMT-Cr16877), a, carapace, lateral; b, right P1, dorsal; c, right P2, lateral; d, dactylus of P2, lateral e, thoracic sternum, f, endopod of right third maxilliped; g, posterior part of abdomen and telson; h, left antennal peduncle, ventral view; i, left antennular basal article, ventral. Scales: a, b, c = 3 mm; e, g = 3mm; d, f, h, i = 1 mm.
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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.