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2,785 results for “genotypes”
Fig. 1 in An evaluation of plant genotypes for rearing Asian citrus psyllid (Hemiptera: Liviidae)
Fig. 1. Adult Asian citrus psyllids with wing deformities. (a) Normal adult. (b–d) Mild to moderate wing deformities. (e–f) Severe wing deformities.
Fig. 5 in Evaluating categories of resistance in soybean genotypes from the United States and Brazil to Aphis glycines (Hemiptera: Aphididae)
Fig. 5. Mortality (%) of Aphis glycines on 7 soybean genotypes at 5, 7, and 10 d afer infestation (23 ± 3 °C; 60 ± 10% RH; 16:8 h L:D photoperiod).
Fig. 4 in Evaluating categories of resistance in soybean genotypes from the United States and Brazil to Aphis glycines (Hemiptera: Aphididae)
Fig. 4. Cumulative aphid-days (CAD) for soybean genotypes infested with Aphis glycines at V1 and V3 stages (23 ± 3 °C; 60 ± 10% RH; 16:8 h L:D photoperiod).
Fig. 3 in Evaluating categories of resistance in soybean genotypes from the United States and Brazil to Aphis glycines (Hemiptera: Aphididae)
Fig. 3. Number (mean ± SE) of Aphis glycines individuals on 7 soybean genotypes 24 h afer infestation (23 ± 3 °C; 60 ± 10% RH; 16:8 h L:D photoperiod). Means with the same lower case letter do not differ by Fisher's LSD test (P> 0.05). (F = 1.74; df = 6; P = 0.0110).
Fig. 2 in Evaluating categories of resistance in soybean genotypes from the United States and Brazil to Aphis glycines (Hemiptera: Aphididae)
Fig. 2. Number (mean ± SE) of Aphis glycines individuals on KS4202 plants 24 h afer infestation (23 ± 3 °C; 60 ± 10% RH; 16:8 h L:D photoperiod). Means with the same lower case letter do not differ by Fisher's LSD test (P> 0.05). (F = 1.09; df = 6; P = 0.3897).
Fig. 2 in Identification of novel Theileria genotypes from Grant's gazelle
Fig. 2. Phylogenetic analysis of Theileria genotypes isolated from Grant's gazelles (Nanger granti) in Kenya. Bayesian analysis of a 400 nucleotide fragment of the 18S ribosomal RNA gene from 1 sequence of Toxoplasma gondii, 33 Theileria sequences from GenBank, and 3 representative Theileria sequences from Grant's gazelles (GG1, GG2, GG3) in this study (bold font). The tree is rooted on the lineage of T.gondii. Numbers above the branches indicate bootstrap support based on 1000 replicates. Host species, geographic location of isolation, and GenBank accession numbers of the sequences are provided where known. Numbered sequences are listed in Table 1.
Fig. 1 in Identification of novel Theileria genotypes from Grant's gazelle
Fig. 1. Light microscopy of a blood smear stained with Giemsa showing single and paired hemoparasites (highlighted by arrows).
Fig. 1 in Surveillance for Echinococcus canadensis genotypes in Canadian ungulates
Fig. 1. Geographic locations of Echinococcus canadensis cysts recovered from wild ungulate intermediate hosts in the literature (1952-present) and the CCWHC database (1992–2010) [YT: Yukon Territory; NT: Northwest Territories; NU: Nunavut; BC: British Columbia; AB: Alberta; SK: Saskatchewan; MB: Manitoba; ON: Ontario; QC: Quebec; NB: New Brunswick; PE: Prince Edward Island; NS: Nova Scotia; NL: Newfoundland and Labrador].
Fig. 1 in Genetic characterization of Toxoplasma gondii from Brazilian wildlife revealed abundant new genotypes
Fig. 1. Phylogenetic network analysis of Toxoplasma gondii from wildlife in Brazil. Genotype ID and the representative strain are listed for each taxonomic branch. Reference strains are in black, the strains from this study are in red, and the Amazonic reference strains that did not cluster together are in boxes. Inside the circle are listed all the genotypes obtained from the Amazon region which are in the same branch as other isolates from this biome.
Fig. 2 in Genetic characterization of Toxoplasma gondii from Brazilian wildlife revealed abundant new genotypes
Fig. 2. Geographical distribution of the genotypes of Toxoplasma gondii from wildlife in Brazil. Samples are grouped by states. Sample size is represented by the size of the bar and the number written in brackets. The smallest bar represents one genotype. Color code: green, purple, red and blue are for BrI, BrII, previously described atypical genotypes and new atypical genotypes, respectively.
Fig. 1 in Toxoplasma gondii in four captive kangaroos (Macropus spp.) in China: Isolation of a strain of a new genotype from an eastern grey kangaroo (Macropus giganteus)
Fig. 1. Toxoplasma gondii cysts in kangaroos or mice. A. Toxoplasma gondii cysts in the diaphragm of case 2 kangaroo, H&E. B. Toxoplasma gondii cysts in the tongue of case 2 kangaroo, H&E. C. Toxoplasma gondii cysts in the diaphragm of case 2 kangaroo, IHC. D. Toxoplasma gondii cysts in the tongue of case 2 kangaroo, IHC. E. Toxoplasma gondii-like cysts in the myocardium of case 4 kangaroo, squashed section, unstained. F. Many TgRooCHn1 Toxoplasma gondii cysts were observed in the mouse brain, 27 DPI, squashed section, unstained. Bar = 50 μm.
Structural modelling results to accompany the paper "Uncommon mutational profiles of metastatic colorectal cancer detected during routine genotyping using next generation sequencing: an update"
<p>This repository contains the results of modelling missense mutants in KRAS, NRAS and BRAF observed in our study in the corresponding protein structures. Modelling was performed using FoldX.</p>
Comparison and Assessment of Family- and Population-based Genotype Imputation Methods in Large Pedigrees Dataset
<p>Here is the data corresponding to the paper "Comparison and Assessment of Family- and Population-based Genotype Imputation Methods in Large Pedigrees" submitted to Genome Research. The data includes the following:<br> <br> Simulated data for 1200 African and European subjects in pedigrees.<br> Lists of subjects selected by each of the 4 subject selection methods examined; Primus, GIGI-Pick, Exome-Picks, and Random selection. <br> <br> The positions of sparse markers for gl_auto for African and European data.<br> <br> The lists of GWAS SNPs for AFR and EUR. </p> <p>Please see the paper for further details of the data generation, this metadata will be updated following publication. </p>
SNP genotypes for 524 wild mice and selected laboratory strains
<p>SNP genotypes from the Mouse Universal Genotyping Array for 524 wild mice and 12 selected laboratory strains. Data are provided in PLINK binary format (*.bed/*.bim/*.fam files) with an accompanying sample manifest (comma-separated text.)</p>
VCF File containing genotype calls for 136 Populus alba x Populus tremula hybrids obtained through both RAD-seq and GBS
<p>VCF file used to compare genotype calls obtained through RAD-seq and GBS for 126 common garden seedlings of Populus tremula and Populus alba hybrids. See Bresadola et al. (2019) for more details.</p>
Skeleton of Struthiomimus altus. Genotype specimen, Amer. Mus. 5339. One-tenth natural size In this panel mount the animal is placed approximately as found. The pollex is too closely appressed to the other digits, see Fig. 3. in Skeletal Adaptations of Ornitholestes, Struthiomimus, Tyrannosaurus
Skeleton of Struthiomimus altus. Genotype specimen, Amer. Mus. 5339. One-tenth natural size In this panel mount the animal is placed approximately as found. The pollex is too closely appressed to the other digits, see Fig. 3.
Patients data for meta-analysis of genotype-phenotype associations in Bardet-Biedl Syndrome
<p>Data used for metaanalysis of the genotype-phenotype relationship in Bardet Biedl Syndrome.</p> <p>File "EV table 1 literature.xlsx" describes studies that were included in the metaanalysis. File "EV table 2 dataset.xlsx" contains individual patient data. Each row corresponds to a patient. If the same patient was reported in more than 1 study, their data were merged into one row. The columns are as follows:</p> <p>* source - a citation to the study the patient originated in</p> <p>* FamilyID - randomly generated ID of a family (unique over the dataset), two persons with the same FamilyID are related.</p> <p>* source case n. - A unique identifier of the patient within the study</p> <p>* gene - A gene carrying the principal BBSome related mutation</p> <p>* nucleotide change (allele 1,2) - description of the mutations in DNA individual alleles of the gene, in HGVS nomenclature</p> <p>* protein change (allele 1,2) - description of how the mutations in DNA change the resulting protein, in HGVS nomenclature</p> <p>* type of mut allele 1,2 - whether the given mutation is considered missense (MS) or large truncation (trunc)</p> <p>* mut/mut - combination of mutations for both alleles</p> <p>* additional mutations - mutations in other BBSome-related genes. Format is "gene: DNA mutation, protein mutation"</p> <p>* sex - "F" or "M" (where reported)</p> <p>* age group - age group (where reported)</p> <p>* age - age in years. Contains fractions, decimal values and "5 month"</p> <p>* RD, OBE, PD, CI, REP, REN, HEART, LIV, DD - presense or absence of phenotypes, if reported. RD – retinal dystrophy, OBE – obesity, PD – polydactyly, CI – cognitive impairment , REP – reproductive system anomalies, REN – renal anomalies, HRT – heart disease, LIV – liver anomalies, DD - Developmental delay. Values are "" (not reported), "0" (no phenotype), "1" (phenotype present), "1!" conflicting reports of phenotype in multiple studies (some patients were involved in multiple studies)</p> <p>* ethnicity - ethnicity of the patient, if reported</p> <p>* ethinc group - grouping of the ethnicities into 8 larger groups (see paper for details)</p> <p>* note - miscellanous text, in particular contains notes on patients merged from multiple studies</p> <p>====</p> <p>The protocol for this meta-analysis was pre-registered with PROSPERO (CRD42018096099).</p> <p>PubMed and Google Scholar databases were searched in May 2018 for the following keywords: [bardet-biedl syndrome AND (genotype phenotype OR cohort)]. Other suitable records were identified by snowball searching, in particular, by retrieving relevant articles from the references of the studied full-texts. In addition, all the references included in the publicly available Euro-Wabb database (<a href="https://lovd.euro-wabb.org/home.php">https://lovd.euro-wabb.org/home.php</a>) were covered. Our search was limited to the literature published in English language and covered the period from the inception of each database to the 21st of May 2018.</p>
Genotype-by-environment interaction in Corymbia citriodora (Hook.) K. D. Hill, & L. A. S. Johnson progeny test in Luiz Antonio, Brazil.
Corymbia citriodora is one of the most cultivated hardwood species by small farmers in Brazil, and the most traded wood on the east coast of Australia due its high growth rate combined with high wood density. The study of genotype-by-environment interaction (GEI) is one of the most critical elements in the management of a breeding program to define breeding zones and to select genetic material targeted to specific environmental conditions. The aim of this research was to estimate genetic parameters in a C. citriodora progeny tests, established using 56 open-pollinated families in three sites with contrasting soil texture within the Luiz Antônio's experimental station, Brazil. The following traits were measured at 30 years of age: total height, diameter at breast height (DBH), stem form and survival. Based on this data, the individual volume was estimated. The harmonic mean relative performance of genetic values (MHPRVG) predicted by BLUP was used to evaluate productivity, stability and adaptability. The GEI was found to be not significant in all growth traits. A complex GEI was detected only for survival, supporting the importance of choosing the right genetic material of the species to specific sites. The present analysis showed a significant difference between families for DBH, survival and volume. In summary, the material studied presents potential to obtain attractive genetic gains through selection. However, in order to keep these sustained gains over the next selection cycles it is necessary to incorporate new genetic materials in order to increase genetic diversity.
Figure 2 in Resistance of cassava genotypes to Vatiga manihotae (Drake 1922) (Hemiptera: Tingidae)
Figure 2 Ordination diagram representing the first axis of the principal components for the variables concerning the biology of Vatiga manihotae on different cassava genotypes. Genotypes: MEcu 72; Santa Helena; Col 22; Cl 02 Clone 02; Cl 33 Clone 33.
Figure 1 in Resistance of cassava genotypes to Vatiga manihotae (Drake 1922) (Hemiptera: Tingidae)
Figure 1 Relation between specific fertility (mx) and survival rate (lx) of Vatiga manihotae on five genotypes of cassava (T: 25 ± 2°C; Photophase: 14 hours).
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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.