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Figure 2 in Phenotypic and molecular characterization of fluoroquinolone resistant Pseudomonas aeruginosa isolates in Palestine

Figure 2. Median-joining network of GyrA (A), ParC (B) and ParE (C) of the haplotypes of fluoroquinolone resistant P. aeruginosa isolates. Each haplotype is represented by a circle. The asterisk (*) denotes the founder haplotype. The size of circle is relative to haplotype frequency. Bars indicate the number of nucleotide substitutions for GyrA (A), ParC (B) and ParE (C) sequences from fluoroquinolone resistant P. aeruginosa isolates recovered in Palestine.

Figure 3 in Phenotypic and molecular characterization of fluoroquinolone resistant Pseudomonas aeruginosa isolates in Palestine

Figure 3. Nucleotide variation positions of GyrA (A), ParC (B) and ParE (C) genes among the studied fluoroquinolone resistant P. aeruginosa isolates according to the references from GenBank. Parsimony informative sites are shaded in light grey, while InDels are shaded in dark gray.

Figure 1 in Phenotypic and molecular characterization of fluoroquinolone resistant Pseudomonas aeruginosa isolates in Palestine

Figure 1. Molecular phylogenetic analysis by Maximum Likelihood method based on the GyrA (A), ParC (B) and ParE (C) sequence from fluoroquinolone resistant P. aeruginosa isolated in Palestine. Reference sequences retrieved from Genbank for the GyrA (A), ParC (B) and ParE (C) genes were denoted by asterisks (*). Sequences from Palestine and reference sequences were used to construct the phylogenetic tree. Evolutionary analyses were conducted in MEGA6.

Fig. 9 in The origin and diversification of the Entorrhizales: deep evolutionary roots but recent speciation with a phylogenetic and phenotypic split between associates of the Cyperaceae and Juncaceae

Fig. 9 Macroscopic symptoms of the infection of Juncus oxycarpus (a, healthy plant) roots by Juncorrhiza oxycarpi (b). Scale bars: a approx. 1 cm, b = 1 mm

Fig. 5 in The origin and diversification of the Entorrhizales: deep evolutionary roots but recent speciation with a phylogenetic and phenotypic split between associates of the Cyperaceae and Juncaceae

Fig. 5 Macroscopic symptoms of the infection of Fuirena ciliaris roots by Entorrhiza fuirenae (arrows). Scale bar = approx. 1 cm

Fig. 7 in The origin and diversification of the Entorrhizales: deep evolutionary roots but recent speciation with a phylogenetic and phenotypic split between associates of the Cyperaceae and Juncaceae

Fig. 7 Macroscopic symptoms of the infection of Juncus ranarius roots by Juncorrhiza maritima (arrows). Scale bar = 5 mm

Fig. 4 in The origin and diversification of the Entorrhizales: deep evolutionary roots but recent speciation with a phylogenetic and phenotypic split between associates of the Cyperaceae and Juncaceae

Fig. 4 Tanglegram between host plant (left) and fungal (right) phylogenies reconstructed from the ITS + rbcL and ITS + LSU sequences, respectively. Nodal support is given as maximum likelihood bootstrap (≥

Fig. 10 in The origin and diversification of the Entorrhizales: deep evolutionary roots but recent speciation with a phylogenetic and phenotypic split between associates of the Cyperaceae and Juncaceae

Fig. 10 Juncorrhiza oxycarpi (holotype) on Juncus oxycarpus: a–b spores in the living host cells seen by light microscopy; c–d spores seen by light microscopy, median and superficial views; e–g spores seen by

Fig. 1 A in The origin and diversification of the Entorrhizales: deep evolutionary roots but recent speciation with a phylogenetic and phenotypic split between associates of the Cyperaceae and Juncaceae

Fig. 1 A root galls and spores of Juncorrhiza casparyana associated with Juncus articulatus: a plant roots with galls (arrowed); b coiled hyphae (arrowed) and spores in root cells. Scale bar = 20 μm

Fig. 8 in The origin and diversification of the Entorrhizales: deep evolutionary roots but recent speciation with a phylogenetic and phenotypic split between associates of the Cyperaceae and Juncaceae

Fig. 8 Juncorrhiza maritima (holotype) on Juncus ranarius: a–b spores in host cells seen by light microscopy; c–d spores seen by light microscopy, median and superficial views; e–h spores seen by scanning electron microscopy. Scale bars: e 30 μm, f 20 μm, a–d, g–h 10 μm

opencc-by-4.0Jul 2024View details →

Multicontextual Phenotype Models: Biomedical Database and Literature Phenotype and Social Media Phenotype

Open the record for dataset details and reuse information.

Fig. 4 in Physiological and Biochemical Thermoregulatory Responses in Male Chinese Hwameis to Seasonal Acclimatization: Phenotypic Flexibility in a Small Passerine.

Fig. 4. Seasonal variation in dry mass (A), state-4respiration (B), and cytochrome c oxidase (C) in the pectoral muscle, heart, liver and kidneys of hwameis (Garrulaxcanorus) captured in either summer or winter in Wenzhou, China. Data are shown as mean ± SEM, *p <0.05, **p <0.01, ***p <0.001.

Fig. 3 in Physiological and Biochemical Thermoregulatory Responses in Male Chinese Hwameis to Seasonal Acclimatization: Phenotypic Flexibility in a Small Passerine.

Fig. 3. Correlations between body mass and resting metabolic rate (RMR) (A), between body mass and EWL (B), between RMR and EWL (C), and between RMR and thermal conductance (D) in Chinese hwameis (Garrulax canorus) captured in either summer or winter in Wenzhou, China.

Fig. 1 in Physiological and Biochemical Thermoregulatory Responses in Male Chinese Hwameis to Seasonal Acclimatization: Phenotypic Flexibility in a Small Passerine.

Fig. 1. Minimum, maximum and mean ambient daily summer (July to August 2013) and winter (January to February 2014) temperatures in Wenzhou, China. Mean ambient temperature ranged from 31.3 ± 0.2°C in summer to 8.6 ± 0.4°C in winter.

Fig. 2 in Physiological and Biochemical Thermoregulatory Responses in Male Chinese Hwameis to Seasonal Acclimatization: Phenotypic Flexibility in a Small Passerine.

Fig. 2. Seasonal variation in body mass (A), resting metabolic rate (B), evaporative water loss (C) and thermal conductance (D) in Chinese hwamei (Garrulax canorus) captured in either summer or winter in Wenzhou, China. Data are shown as mean ± SEM, **p <0.01.

Fig. 5 in Physiological and Biochemical Thermoregulatory Responses in Male Chinese Hwameis to Seasonal Acclimatization: Phenotypic Flexibility in a Small Passerine.

Fig. 5. Correlations between resting metabolic rate (RMR) and state-4 respiration in the pectoral muscle (A), heart (C), liver (E) and kidneys (G), and between RMR and cytochrome c oxidase activity in the pectoral muscle (B), heart (D), liver (F) and kidneys (H), in Chinese hwameis (Garrulax canorus) captured in either summer or winter in Wenzhou, China.

opencc-by-4.0Feb 2018View details →

Taking advantage from phenotype variability in a local animal genetic resource: identification of genomic regions associated with the hairless phenotype in Casertana pigs

Ped and Map files for 96 Casertana breed pigs genotyped with Illumina BeadChip 60K Porcine. The first field of the ped file contains the id of the farm (1az-6az). The hairless phenotype, in the ped phenotype field, is codified as 1, the hairy phenotype is codified as 2.

opencc-by-4.0Sep 2018View details →

A guide to using a multiple-matrix animal model to disentangle genetic and nongenetic causes of phenotypic variance

Simulated data associated with the paper "A guide to using a multiple-matrix animal model to disentangle genetic and nongenetic causes of phenotypic variance". The main dataset is contained within the mermaids.csv, with columns explained within the associated README file. Epigenetic and social network information are contained within the other two datasets

opencc-by-sa-4.0Jan 2019View details →

Patients data for meta-analysis of genotype-phenotype associations in Bardet-Biedl Syndrome

Data used for metaanalysis of the genotype-phenotype relationship in Bardet Biedl Syndrome. 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: * source - a citation to the study the patient originated in * FamilyID - randomly generated ID of a family (unique over the dataset), two persons with the same FamilyID are related. * source case n. - A unique identifier of the patient within the study * gene - A gene carrying the principal BBSome related mutation * nucleotide change (allele 1,2)  - description of the mutations in DNA individual alleles of the gene, in HGVS nomenclature * protein change (allele 1,2)  - description of how the mutations in DNA change the resulting protein, in HGVS nomenclature * type of mut allele 1,2 - whether the given mutation  is considered missense (MS) or large truncation (trunc) * mut/mut - combination of mutations for both alleles * additional mutations - mutations in other BBSome-related genes. Format is "gene: DNA mutation, protein mutation" * sex - "F" or "M"  (where reported) * age group - age group (where reported) * age - age in years. Contains fractions, decimal values and "5 month" * 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) * ethnicity - ethnicity of the patient, if reported * ethinc group - grouping of the ethnicities into 8 larger groups (see paper for details) * note - miscellanous text, in particular contains notes on patients merged from multiple studies ==== The protocol for this meta-analysis was pre-registered with PROSPERO (CRD42018096099). 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.

Fig. 4 in Variability Of The Phenotypic Composition Of Cepaea Hortensis (Gastropoda, Helicidae) In Western Ukraine: In Space And Time

Fig. 4. Theoretical ratio of genotype frequencies among carriers of the recessive allele (presence of bands) depending on the percentage of banded individuals at the site.