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927 results for “genetic study”
FIGURE 8 in On the identity of Spio filicornis (O. F. Müller, 1776) — with the designation of a neotype, and the description of two new species from the North East Atlantic Ocean based on morphological and genetic studies
FIGURE 8. Methyl green staining pattern of anterior end in ventral view with white dots in two Spio species: A. Spio filicornis (O.F. Müller, 1776). B. Spio arndti sp. nov. – A from type locality (ZSRO-P2058), B from Kiel Bight (ZSRO-P2052).
FIGURE 7 in On the identity of Spio filicornis (O. F. Müller, 1776) — with the designation of a neotype, and the description of two new species from the North East Atlantic Ocean based on morphological and genetic studies
FIGURE 7. Comparison of pigmentation in two Spio species: A, C. Spio filicornis (O.F. Müller, 1776), anterior end, dorsal view (above), lateral view (below). B, D. Spio arndti sp. nov., anterior end, dorsal view (above), lateral view (below). — A, C from type locality (ZSRO-P2060), B, D from Kiel Bight (ZSRO-P2050).
FIGURE 6 in On the identity of Spio filicornis (O. F. Müller, 1776) — with the designation of a neotype, and the description of two new species from the North East Atlantic Ocean based on morphological and genetic studies
FIGURE 6. Spio filicornis (O.F. Müller, 1776): Pigmentation of palps observed in: A. specimen alive in sea water, B. formalinfixed specimen (dorsal view), C. formalin-fixed specimen (anterior view). — All from type locality (ZSRO-P2060).
FIGURE 2 in On the identity of Spio filicornis (O. F. Müller, 1776) — with the designation of a neotype, and the description of two new species from the North East Atlantic Ocean based on morphological and genetic studies
FIGURE 2. Map of Greenland with sampling locations: Iluilârssuk = type locality for Spio filicornis (O.F. Müller, 1776).
FIGURE 1 in On the identity of Spio filicornis (O. F. Müller, 1776) — with the designation of a neotype, and the description of two new species from the North East Atlantic Ocean based on morphological and genetic studies
FIGURE 1. Drawings from the description of Spio filicornis (O.F. Müller, 1776) from Fabricius (1785)—arrangement of figures slightly amended: with "worm" removed from the tube in dorsal and ventral view; "worm" emerging from the tube as observed in the natural environment; middle segment from dorsal; two segments from lateral oblique view. Abbreviations: a=the tube, b=sea bed, c=the worm emerging from the tube, d=prostomium, e=eyes, f=mouth opening, g=palps, h=anterior dark segments, i=middle yellow-reddish segments, k=posterior dark segments, l=greyish stripe on dorsum, m=same on ventrum, n=anal cirri, o=dorsal "Fühlfäden", p=parapodia, q=ventral projection, r=lateral furrow, s=ventrum.
GWAS Summary data generated for study: disease clusters and their genetic determinants following a diagnosis of depression
<p>Second version of GWAS summary data</p> <p>A1: effect allele</p> <p>A2: other allele</p> <p>Project github page: https://github.com/HZcohort/3D-Disease-Network</p>
Figure 2 in Comparative genetic differentiation study of three coexisting mangrove crabs in western Atlantic
Figure 2. Map showing the sampling sites for Leptuca thayeri along the western Atlantic, with collection localities (circles) inside each designated population (dashed areas – names indicated). Different colours represent different populations. States and/or countries of each locality are indicated. For each population, the number of sequences obtained for both mtDNA COI and 16S rDNA genes is indicated. Details of the localities sampled are reported in Table 1. Abbreviations of States: Mexico: CC: Campeche; Brazil: AP: Amapá; PA: Pará; MA: Maranhão; CE: Ceará; PE: Pernambuco; AL: Alagoas; BA: Bahia; ES: Espírito Santo; RJ: Rio de Janeiro; SP: São Paulo; PR: Paraná; SC: Santa Catarina.
Figure 1 in Comparative genetic differentiation study of three coexisting mangrove crabs in western Atlantic
Figure 1. Map showing the sampling sites for Aratus pisonii along the western Atlantic, with collection localities (circles) inside each designated population (dashed areas – names indicated). Different colours represent different populations. States and/or countries of each locality are indicated. For each population, the number of sequences obtained for both mtDNA COI and 16S rDNA genes is indicated. Details of the localities sampled are reported in Table 1. Abbreviations of States: Mexico: CC: Campeche; VZ: Veracruz; TC: Tabasco; TS: Tamaulipas; YN: Yucatán; Brazil: AP: Amapá; PA: Pará; MA: Maranhão; CE: Ceará; RN: Rio Grande do Norte; PE: Pernambuco; AL: Alagoas; BA: Bahia; ES: Espírito Santo; RJ: Rio de Janeiro; SP: São Paulo; PR: Paraná; SC: Santa Catarina.
Figure 5 in Comparative genetic differentiation study of three coexisting mangrove crabs in western Atlantic
Figure 5. Leptuca thayeri. Median-Joining haplotype network for mtDNA COI (a) and 16S rDNA (b), showing the distribution of the haplotypes (H); the circle size is proportional to the haplotype frequency; black circles indicate the median vector; different colours represent different populations; dashed circles indicate suggested isolated geographic regions. (c) Bayesian analysis for genetic differentiation for mtDNA COI among populations.
Figure 4 in Comparative genetic differentiation study of three coexisting mangrove crabs in western Atlantic
Figure 4. Aratus pisonii. Median-Joining haplotype network for mtDNA COI (a) and 16S rDNA (b), showing the distribution of the haplotypes (H); the circle size is proportional to the haplotype frequency; black circles indicate the median vector; different colours represent different populations; dashed circles indicate suggested isolated geographic regions. (c) Bayesian analysis for genetic differentiation for mtDNA COI among populations.
Figure 7 in Comparative genetic differentiation study of three coexisting mangrove crabs in western Atlantic
Figure 7. Mismatch distribution for mtDNA COI of respective clades I (a), II (b), and III (c) of Aratus pisonii; clades I (d), and II (e) of Leptuca thayeri; and for all samples of Goniopsis cruentata (f), showing the frequency of distribution of the number of pairwise nucleotide differences among all individuals, under the sudden expansion model. Columns show the observed frequency distribution and the lines represent the simulated values under the sudden expansion model. Statistics for SSD and HRI with probability values are indicated.
Distribution. SW Arabian Peninsula in SW Saudi Arabia and W Yemen and E Africa in Ethiopia, E South Sudan, Somalia, and Kenya. This distribution is temporary although and pending of genetic studies including a complete representation of the species in the analysis. in Miniopteridae
Distribution. SW Arabian Peninsula in SW Saudi Arabia and W Yemen and E Africa in Ethiopia, E South Sudan, Somalia, and Kenya. This distribution is temporary although and pending of genetic studies including a complete representation of the species in the analysis.
FIGURE 4 in Comparative study and genetic diversity of Salicornia persica (Chenopodiaceae) using SCOT molecular markers
FIGURE 4. PCA plot of Salicornia persica populations based on morphological characters. Numbers are according to Table 1.
FIGURE 3 in Comparative study and genetic diversity of Salicornia persica (Chenopodiaceae) using SCOT molecular markers
FIGURE 3. PCoA plot of populations in Salicornia persica based on SCoT molecular markers, (Population numbers are according to Table 1.)
FIGURE 2 in Comparative study and genetic diversity of Salicornia persica (Chenopodiaceae) using SCOT molecular markers
FIGURE 2. WARD tree of populations in Salicornia persica based on SCoT molecular markers, (Population numbers are according to Table 1.)
One of the first cryptic mammal species discovered, when it was separated from the morphologically similar R. tumida (= R. bickhami) based on karyological studies. Karyotype of 2n = 42 of R. genowaysi is identical to that observed in R. velilla, but these species are genetically distinct; their ranges do not overlap. R. genowaysi is morphologically very similar to other species within the R. tumida complex and is sympatric with R. bickhami (2n = 34). Monotypic. Distribution. Two nearby localities in Pacific lowlands of S Chiapas, S Mexico. in Vespertilionidae
One of the first cryptic mammal species discovered, when it was separated from the morphologically similar R. tumida (= R. bickhami) based on karyological studies. Karyotype of 2n = 42 of R. genowaysi is identical to that observed in R. velilla, but these species are genetically distinct; their ranges do not overlap. R. genowaysi is morphologically very similar to other species within the R. tumida complex and is sympatric with R. bickhami (2n = 34). Monotypic. Distribution. Two nearby localities in Pacific lowlands of S Chiapas, S Mexico.
Data from: Competitive consequences determined by phenotypic but not genetic distance: a study with asexual Daphnia genotypes
<p><span><span>1. How </span><span>evolutionary relatedness influences the strength of competitive interactions among </span><span>genetically isolated populations has been a long-standing interest in ecology. Darwin's </span><span>"Competition </span><span>R</span><span>elatedness Hypothesis (CRH)" states that, since closely related species should compete more strongly, they are less likely to coexist, while </span><span>Herbert's </span><span>"Bimodal </span><span>Competition Hypothesis (BCH)" predicts that competitive exclusion is less likely to occur when the competing species are genetically close or distant.</span></span></p> <p><span>2. T</span><span>o test these hypotheses,</span><span> we</span><span> experimentally examined the difference in the competitive ability and life tables of fecundity</span><span> </span><span>and survivorship among four different genotypes of </span><span>asexual</span><span> Daphnia cf. pulex </span><span>that diverged from a single ancestral genotype</span><span>.</span></p> <p><span>3. </span><span>The experiments showed that the competitive consequences differed depending on the pairing of the competing genotypes, and that the degree of the competitive exclusion was lower when the competing genotypes were genetically closer to each other. These results partially supported the BCH but not the CRH at all. More importantly, the degree of competitive exclusion was better predicted by the phenotypic rather than genetic distances between the competing genotypes.</span></p> <p><span>4. </span><span>The life table experiments revealed that competitively inferior genotypes had higher early reproduction rates, but survival rates decreased with age and thus body size, probably a result of selection by predation pressures found in nature.</span></p> <p><span>5. </span><span>These results indicate that competitive superiority is highly dependent on selection pressures that given organisms have been evolutionally subjected to, and, that genetic similarity is not necessarily an appropriate measure for predicting the completive exclusion on an ecological time scale. </span><span>To predict competitive relationships among the organisms, it is essential to comprehend their phenotypic differences rather than simply knowing their genetic or phylogenetic relationships.</span></p>
A pilot study evaluating consumer motivations, perceptions, and responses to direct-to-consumer (DTC) canine genetic test results
<p>Survey responses exported from Qualtrics XM platform used for data analysis. The objectives of the study were to evaluate the user experience of current Wisdom Panel customers and evaluate their motivations to pursue canine genetic services, their perceptions of the services and test(s) used, and their response to the canine genetic test results. The file format provided is for Excel. Data analysis was completed using SPSS version 28. Please contact the author directly with any questions about the data.</p>
Data from: Using a reference population yardstick to calibrate and compare genetic diversity reported in different studies: an example from the brown bear.
In species with large geographic ranges, genetic diversity of different populations may be well studied, but differences in loci and sample sizes can make the results of different studies difficult to compare. Yet, such comparisons are important for assessing the status of populations of conservation concern. We propose a simple approach of using a single well-studied reference population as a "yardstick" to calibrate results of different studies to the same scale, enabling comparisons. We use a well-studied large carnivore, the brown bear (Ursus arctos), as a case study to demonstrate the approach. As a reference population, we genotyped 513 brown bears from Slovenia using 20 polymorphic microsatellite loci. We used this dataset to calibrate and compare heterozygosity and allelic richness for 30 brown bear populations from 10 different studies across the global distribution of the species. The simplicity of the reference population approach makes it useful for other species, enabling comparisons of genetic diversity estimates between previously incompatible studies and improving our understanding of how genetic diversity is distributed along a species range.
Data from: Genetic dissection of grain iron and zinc, and thousand kernel weight in wheat (Triticum aestivum L.) using genome-wide association study
<p>The study material in GWAS panel with 280 common bread wheat genotypes was selected from All India Coordinated Research Project on Wheat and Barley to map the genomic regions responsible for enhanced Grain Zinc Content (GZnC), Grain Iron Content (GZnC) and Thousand Kernel weight (TKW).</p> <p><strong>Phenotypic data:</strong></p> <p>The GWAS panel was evaluated at five different environments: E1-University of Agricultural Sciences, research farm, Dharwad (15°29'20.71"N, 74°59'3.35"E, 750m AMSL), E2-ICAR- Indian Agricultural Research Institute, New Delhi (28°38′30.5″N, 77°09′58.2″E, 228 m AMSL), E3-Indian Agricultural Research Institute, Jharkhand (24°16'58.4"N, 85°21'16.1"E, 651m AMSL), E4-ICAR-Indian Institute of Wheat and Barley, Karnal (29°41'8.2644''N, 76°59'25.9692''E, 250m AMSL), and E5-Punjab Agricultural University, Ludhiana (30o54' N, 75o48'E, 247m AMSL). Around 20 g of grain sample from each genotype were used for phenotyping GFeC and GZnC through high-throughput Energy Dispersive X-ray Fluorescence (ED-XRF) machine (model X-Supreme 8000; Oxford Instruments plc, Abingdon, United Kingdom) calibrated with glass beads-based values. To record TKW, the Numigral grain counter was used to count the grain number, the reading was set at 1000 grains and the weight of the grains was recorded in grams with an electronic balance. The GFeC, GZnC were expressed as milligram per kilogram (mg/kg), GPC in percentage (%), TKW in grams (gms).</p> <p><strong>Genotypic data:</strong></p> <p>Genomic DNA of the GWAS panel was extracted from the leaves of 21 days-old seedlings by Cetyl Trimethyl Ammonium Bromide (CTAB) method. The panel was genotyped using Axiom Wheat Breeder's Genotyping Array (Affymetrix, Santa Clara, CA, United States) having 35,143 genome-wide SNPs. The monomorphic, markers with minor allele frequency (MAF) of <5%, missing data of >20%, and heterozygote frequency >25% were removed from the analysis. The remaining set of 14,790 high-quality SNPs was used in GWAS analysis. The detailed information of the methods and software used, data analysis and GWAS is available at DOI: 10.1038/s41598-022-15992-z.</p>
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.