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58 results for “Anopheles mosquito”
FIGURE 17. Anopheles superpictus s.l in An overview of the mosquitoes of Saudi Arabia (Diptera: Culicidae), with updated keys to the adult females
FIGURE 17. Anopheles superpictus s.l., male (photo by Rachel Diaz-Bastin, California Academy of Sciences).
FIGURE 16. Anopheles subpictus s.l in An overview of the mosquitoes of Saudi Arabia (Diptera: Culicidae), with updated keys to the adult females
FIGURE 16. Anopheles subpictus s.l., male (Natural History Museum, London, photo by James Turner, National Museum of Wales).
FIGURE 8. Anopheles fluviatilis s.l in An overview of the mosquitoes of Saudi Arabia (Diptera: Culicidae), with updated keys to the adult females
FIGURE 8. Anopheles fluviatilis s.l., female (Natural History Museum, London, photo by James Turner, National Museum of Wales).
FIGURE 6. Anopheles culicifacies s.l in An overview of the mosquitoes of Saudi Arabia (Diptera: Culicidae), with updated keys to the adult females
FIGURE 6. Anopheles culicifacies s.l., female (Smithsonian Institution, National Museum of Natural History, photo by David Pecor, Walter Reed Biosystematics Unit).
MosqVision-3K: A Balanced Multi-Source Dataset of 3,000 Annotated Images for Culex, Anopheles, and Aedes Mosquito Species Classification
<p><strong>Comprehensive Mosquito Species Image Dataset for Machine Learning</strong><br><strong>Description:</strong><br>This dataset is a meticulously curated collection of high-quality images featuring three major mosquito species: <strong>Culex</strong>, <strong>Anopheles</strong>, and <strong>Aedes</strong>. These species are significant vectors for transmitting vector-borne diseases such as malaria, dengue, and Zika. The dataset has been compiled to support research and development in entomology, vector-borne disease control, and image recognition.<br>With <strong>3,000 images in total</strong>, the dataset is structured to ensure a balanced representation of the three species, each having <strong>1,000 images</strong>. Images were sourced from four reputable platforms, including <strong>MosquitoAlert.com</strong>, <strong>Mendeley Data</strong>, <strong>IEEE DataPort</strong>, and the <strong>Dryad Digital Repository</strong>. These sources ensure a comprehensive and diverse representation of mosquito appearances, including variations in morphology, lighting conditions, and orientations.</p> <h2>The dataset is organized into directories for each species, making it easy to integrate into machine learning workflows for tasks like species identification and classification. The collection also includes metadata and annotations to enhance usability.</h2> <p><strong>Key Features:</strong></p> <ul> <li><strong>Species Represented:</strong> <ul> <li><em>Culex</em></li> <li><em>Anopheles</em></li> <li><em>Aedes</em></li> </ul> </li> <li><strong>Total Images:</strong> 3,000 (1,000 images per species)</li> <li><strong>Image Sources:</strong> <ul> <li><strong>MosquitoAlert.com</strong> (1,234 images)</li> <li><strong>Mendeley Data</strong> (876 images)</li> <li><strong>IEEE DataPort</strong> (748 images)</li> <li><strong>Dryad Digital Repository</strong> (600 images)</li> </ul> </li> </ul> <h2>- <strong>Image Annotations:</strong> Metadata and species labels are included for enhanced usability.</h2> <p><strong>Applications:</strong><br>This dataset is ideal for a variety of applications, including:</p> <ul> <li>Training machine learning models for mosquito species identification.</li> <li>Developing computer vision algorithms for pest control and public health.</li> </ul> <h2>- Enhancing vector control strategies to mitigate disease spread.</h2> <p><strong>Data Structure:</strong><br>The dataset is organized as follows:</p> <pre><code>Mosquito_Dataset/ ├── Anopheles/ │ ├── img_001<span>.jpg</span> │ ├── img_002<span>.jpg</span> │ └── ... ├── Aedes/ │ ├── img_001<span>.jpg</span> │ ├── img_002<span>.jpg</span> │ └── ... └── Culex/ ├── img_001<span>.jpg</span> ├── img_002<span>.jpg</span> └── ... </code></pre> <h2> </h2> <h2><strong>Acknowledgments:</strong><br>We acknowledge the following data sources for their contributions:</h2> <blockquote> <ul> <li>MosquitoAlert.com</li> <li>Mendeley Data</li> <li>IEEE DataPort</li> <li> Dryad Digital Repository</li> </ul> </blockquote>
Skin microbiome alters attractiveness to Anopheles mosquitoes
<p>16S skin microbiome dataset V3/4 variable region and human attractiveness to mosquitoes</p> <p>MCRO-D-21-00316</p>
Comparative mitochondrial genome and phylogenetic analysis of malaria mosquitoes Anopheles hyrcanus and Anopheles messeae supplementary files
<p><strong>T</strong><strong><span>able</span></strong><strong> S1.</strong> This study encompassed 105 species, along with their corresponding taxonomy and GenBank registration numbers.</p> <p><strong>Figure S1</strong> Inferred secondary structures of tRNAs in the mt genome of <em>An. </em><em><span>h</span></em><em>yrcanus</em><em> </em><span>(A)</span><em> </em><span>and </span><em>An. </em><em><span>m</span></em><em>esseae</em><em> </em><span>(B)</span>, with corresponding amino acids labeled next to the tRNAs.</p>
Data from: Whole genome sequencing reveals absence of recent gene-flow and separate demographic histories for Anopheles punctulatus mosquitoes in Papua New Guinea
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Data from: Laboratory rearing of Anopheles arabiensis: impact on genetic variability and implications for Sterile Insect Technique (SIT) based mosquito control in northern Sudan
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Data from: Extensive genetic diversity among populations of the malaria mosquito Anopheles moucheti revealed by population genomics
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Data from: The ace-1 locus is amplified in all resistant Anopheles gambiae mosquitoes: fitness consequences of homogeneous and heterogeneous duplications.
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Data from: Repeated land mass reformation limits diversification in the widespread littoral zone mosquito Anopheles sundaicus sensu lato in the Indo-Oriental Region
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Data from: Genetic isolation within the malaria mosquito Anopheles melas
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Data from: Comparative phylogeography reveals a shared impact of Pleistocene environmental change in shaping genetic diversity within nine Anopheles mosquito species across the Indo-Burma biodiversity hotspot
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Anopheles stephensi mosquitoes as vectors of Plasmodium vivax and falciparum, Horn of Africa, 2019
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Data from: Nets versus spraying: a spatial modelling approach reveals indoor residual spraying targets Anopheles mosquito habitats better than mosquito nets in Tanzania
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Data from: High-throughput genotyping of Anopheles mosquitoes using intact legs by Agena Biosciences iPLEX
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Data from: Large fluctuations in the effective population size of the malaria mosquito Anopheles gambiae s.s. during vector control cycle
On Bioko Island, Equatorial Guinea, indoor residual spraying (IRS) has been part of the Bioko Island Malaria Control Project since early 2004. Despite success in reducing childhood infections, areas of high transmission remained on the island. We therefore examined fluctuations in the effective population size (N_e) of the malaria vector Anopheles gambiae in an area of persistent high transmission over two spray rounds. We analyzed data for 13 microsatellite loci from 791 An. gambiae specimens collected at 6 time points in 2009 and 2010 and reconstructed the demographic history of the population during this period using Approximate Bayesian Computation (ABC). Our analysis shows that IRS rounds have a big impact on N_e, reducing it by 65% to 92% from pre-spray round N_e. More importantly our analysis shows that after 3-5 months, the An. gambiae population rebounded by 2,818% compared to shortly following the spray round. Our study underscores the importance of adequate spray round frequency to provide continuous suppression of mosquito populations, and that increased spray round frequency should substantially improve the efficacy of IRS campaigns. It also demonstrates the ability of ABC to reconstruct a detailed demographic history across only a few tens of generations in a large population.
Phenotypic resistance to pyrethroid associated to metabolic mechanism in Vgsc-L995F resistant-Anopheles gambiae malaria mosquitoes
<p>Pyrethroid resistance selection was performed over 20 generations with <em>Vgsc</em>-L995F <em>Anopheles gambiae</em> Tiassalé strain. <em>Vgsc</em>-L99F-resistant <em>An. gambiae</em> larvae were exposed to a sublethal dose (killing 20% of larvae) of deltamethrin (LS) and adults to PermaNet 2.0 (AS) at a sublethal time (killing 20% of adults) and combining exposure were realized at larvae and adult stages (LAS) and compared to unexposed group (NS). World Health Organization susceptible tube test was performed at each five generation to follow the evolutionary resistance to deltamethrin. The frequency of <em>Vgsc</em>-L995F/S mutation was screened using multiplex TaqMan qPCR method. Then, expression levels of detoxification enzymes associated to pyrethroid resistance, including CYP4G16, CYP6M2, CYP6P1, CYP6P3, CYP6P4, CYP6Z1 and CYP9K1, and glutathione S-transferase GSTe2 were measured.</p>
Data from: Large fluctuations in the effective population size of the malaria mosquito Anopheles gambiae s.s. during vector control cycle
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International Brain Laboratory public data
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OpenNeuro
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