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135 results for “Isolation by resistance”
Data from: Isolation by distance, resistance and/or clusters? Lessons learned from a forest-dwelling carnivore inhabiting a heterogeneous landscape
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Data from: Assessment of markers of antimalarial drug resistance in Plasmodium falciparum isolates from pregnant women in Lagos, Nigeria
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An evaluation of isolation by distance (IBD) and isolation by resistance (IBR) on genetic structure of the Persian squirrel (Sciurus anomalus) in the Zagros forests of Iran
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Data from: Novel conserved genotypes correspond to antibiotic resistance phenotypes of E. coli clinical isolates
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Assessment of four in vitro phenotypic biofilm detection methods in relation to antimicrobial resistance in aerobic clinical bacterial isolates
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Figure 3 from: Al-Rafyai HM, Alwash MS, Al-Khafaji NS (2021) Quinolone resistance (qnrA) gene in isolates of Escherichia coli collected from the Al-Hillah River in Babylon Province, Iraq. Pharmacia 68(1): 1-7. https://doi.org/10.3897/pharmacia.68.e57819
Figure 3 Distribution of the qnrA gene among quinolone-resistant E. coli isolates in the three sampling sites along the Al-Hillah River.
Figure 2 from: Al-Rafyai HM, Alwash MS, Al-Khafaji NS (2021) Quinolone resistance (qnrA) gene in isolates of Escherichia coli collected from the Al-Hillah River in Babylon Province, Iraq. Pharmacia 68(1): 1-7. https://doi.org/10.3897/pharmacia.68.e57819
Figure 2 Agarose gel electrophoresis of PCR products derived from amplifying the qnrA gene of 61 E. coli isolates (516-bp). Lane M is a 1-kb DNA Ladder, and lanes 1 to 61 are E. coli isolates. Samples were amplified on 1.5% agarose gel, and isolates are labelled at the top of the figure.
Figure 5 from: Al-Rafyai HM, Alwash MS, Al-Khafaji NS (2021) Quinolone resistance (qnrA) gene in isolates of Escherichia coli collected from the Al-Hillah River in Babylon Province, Iraq. Pharmacia 68(1): 1-7. https://doi.org/10.3897/pharmacia.68.e57819
Figure 5 Distribution of the qnrA gene among phylogenetic subgroups of quinolone-resistant E. coli isolates recovered from the three sampling sites.
Figure 4 from: Al-Rafyai HM, Alwash MS, Al-Khafaji NS (2021) Quinolone resistance (qnrA) gene in isolates of Escherichia coli collected from the Al-Hillah River in Babylon Province, Iraq. Pharmacia 68(1): 1-7. https://doi.org/10.3897/pharmacia.68.e57819
Figure 4 Distribution of the qnrA gene among phylogenetic groups of quinolone-resistant E. coli isolates recovered from the three sampling sites.
Data from: Isolation by resistance across a complex coral reef seascape
A detailed understanding of the genetic structure of populations and an accurate interpretation of processes driving contemporary patterns of gene flow are fundamental to successful spatial conservation management. The field of seascape genetics seeks to incorporate environmental variables and processes into analyses of population genetic data to improve our understanding of forces driving genetic divergence in the marine environment. Information about barriers to gene flow (such as ocean currents) is used to define a resistance surface to predict the spatial genetic structure of populations and explain deviations from the widely applied isolation-by-distance model. The majority of seascape approaches to date have been applied to linear coastal systems or at large spatial scales (more than 250 km), with very few applied to complex systems at regional spatial scales (less than 100 km). Here, we apply a seascape genetics approach to a peripheral population of the broadcast-spawning coral Acropora spicifera across the Houtman Abrolhos Islands, a high-latitude complex coral reef system off the central coast of Western Australia. We coupled population genetic data from a panel of microsatellite DNA markers with a biophysical dispersal model to test whether oceanographic processes could explain patterns of genetic divergence. We identified significant variation in allele frequencies over distances of less than 10 km, with significant differentiation occurring between adjacent sites but not between the most geographically distant ones. Recruitment probabilities between sites based on simulated larval dispersal were projected into a measure of resistance to connectivity that was significantly correlated with patterns of genetic divergence, demonstrating that patterns of spatial genetic structure are a function of restrictions to gene flow imposed by oceanographic currents. This study advances our understanding of the role of larval dispersal on the fine-scale genetic structure of coral populations across a complex island system and applies a methodological framework that can be tailored to suit a variety of marine organisms with a range of life-history characteristics.
Antibacterial effect of Hibiscus sabdariffa (Roselle) extract in synergism with voriconazole and fluconazole against fluconazole-resistant Candida albicans isolates: An in vitro study.
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In vitro Effects of Tigecycline in Combination with Other Antimicrobials against Multidrug-Resistant Acinetobacter baumannii Isolates
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Insertion sequences and other mobile elements associated with antibiotic resistance genes in Enterococcus isolates from an inpatient with prolonged bacteremia.
<p>Insertion sequences (ISs) and other transposable elements are associated with the mobilization of antibiotic resistance determinants and the modulation of pathogenic characteristics. In this work, we aimed to investigate the association between ISs and antibiotic resistance genes, and their role in dissemination and modification of the antibiotic resistant phenotype. To that end, we leveraged fully resolved <em>Enterococcus faecium</em> and <em>Enterococcus faecalis</em> genomes of isolates collected over five days from an inpatient with prolonged bacteremia. Isolates from both species harbored similar IS family content but showed significant species-dependent differences in copy number and arrangements of ISs throughout their replicons. Here, we describe two inter-specific IS-mediated recombination events and IS-mediated excision events in plasmids of <em>E. faecium</em> isolates. We also characterize a novel arrangement of the ISs in a Tn1546-like transposon in <em>E. faecalis</em> isolates likely implicated in a vancomycin genotype-phenotype discrepancy. Furthermore, an extended analysis revealed a novel association between daptomycin resistance mutations in <em>liaSR</em> genes and a putative composite transposon in<em> E. faecium</em>, offering a new paradigm for the study of daptomycin resistance and novel insights into the dissemination of daptomycin resistance. In conclusion, our study highlights the role ISs and other transposable elements play in the rapid adaptation and response to clinically relevant stresses such as aggressive antibiotic treatment in enterococci.</p>
Figure 4 in Phenotypic and molecular characterization of fluoroquinolone resistant Pseudomonas aeruginosa isolates in Palestine
Figure 4. Amino acid 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.
Fig. 9 in Twelve unrecorded UV-resistant bacterial species isolated in 2020
Fig. 9. Neighbor-joining phylogenetic tree based on 16S rRNA gene sequences shows the relationship between the strains isolated in this study and their relatives of the genus Hymenobacter BT183. Bootstrap values (>70%) are shown above nodes. Bar: 0.01 substitutions per nucleotide position.
Fig. 3 in Twelve unrecorded UV-resistant bacterial species isolated in 2020
Fig. 3. Neighbor-joining phylogenetic tree based on 16S rRNA gene sequences shows the relationship between the strains isolated in this study and their relatives of the genus Rhodococcus BT623, BT581 and BT582. Bootstrap values (>70%) are shown above nodes. Bar: 0.01 substitutions per nucleotide position.
Fig. 2 in Twelve unrecorded UV-resistant bacterial species isolated in 2020
Fig. 2. Neighbor-joining phylogenetic tree based on 16S rRNA gene sequences shows the relationship between the strains isolated in this study and their relatives of the genus Aeromicrobium BT578 and BT579. Bootstrap values (>70%) are shown above nodes. Bar: 0.01 substitutions per nucleotide position.
Fig. 4 in A report of eight unrecorded radiation resistant bacterial species in Korea isolated in 2018
Fig. 4. Neighbor-joining phylogenetic tree based on 16S rRNA gene sequences shows the relationship between the strain 18JY42-5 and their close relatives. Bootstrap values (>70%) are shown above nodes for the neighbor-joining methods. Bar: 0.01 and 0.02 substitutions per nucleotide position, respectively.
Fig. 10 in A report of eight unrecorded radiation resistant bacterial species in Korea isolated in 2018
Fig. 10. Survival rate of nine radiation-resistant strains after exposure to UV radiation (▲)18JY14-16, 18JY14-35, 18JY42-5, 18JY12-20, 18JY35-8, 18JY76-9, 18JY39-1 and 18JY54-12 to UV radiation. Survival rates of D. radiodurans R1 (■) and E. coli (●) are also shown. The survival rate after UV radiation was measured by a number of cells in R2A (18JY14-16, 18JY42-5, 18JY35-8, 18JY39-1, and 18JY54- 12) or 1/10LB (18JY14-35, 18JY12-20 and 18JY76-9) agar.
Fig. 9 in A report of eight unrecorded radiation resistant bacterial species in Korea isolated in 2018
Fig. 9. Neighbor-joining phylogenetic tree based on 16S rRNA gene sequences shows the relationship between the strain 18JY54-12 and their close relatives. Bootstrap values (>70%) are shown above nodes for the neighbor-joining methods. Bar: 0.01 and 0.02 substitutions per nucleotide position, respectively.
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.