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311 results for “Anopheles”
Figure 5 in Study of histoarchitectural changes in Anopheles stephensi larvae following exposure to Eucalyptus globulus and Aloe vera oils
Figure 5. Longitudinal sections of abdomen of 4th instar Anopheles stephensi larvae (10×): (a) Control larva showing lumen (L) and muscle fibers (MF); (b) Eucalyptus globulus oil treated larva showing disintegration; (c) Aloe vera oil treated larva showing perturbation and lesions in the alimentary canal.
Figure 7 in Study of histoarchitectural changes in Anopheles stephensi larvae following exposure to Eucalyptus globulus and Aloe vera oils
Figure 7. Longitudinal sections of midgut region highlighting fat bodies of 4th instar Anopheles stephensi larvae (40×): (a) Control larva showing deposition of fat bodies (FB); (b) Eucalyptus globulus oil treated larva showing disappearance of fat bodies (FB) in various areas; (c) Aloe vera oil treated larva showing very little disruption of fat bodies (FB).
Figure 1 in Identification of blood meals in field collected Culex pipiens, Anopheles sacharovi and Culex tritaeniorhynchus (Diptera: Culicidae) using the ELISA method
Figure 1. Sampling localities of Anopheles sacharovi, Culex pipiens, Culex tritaeniorhynchus populations (1. Huzurkent, 2. Düziçi, 3. Akhisar, 4. Dalaman, 5. Gelendost, 6. Selçuk, 7. Karataş, 8. Eşme, 9. Türkoğlu, 10. Dörtyol, 11. Kırıkhan, 12. Manavgat, 13. Afyon, 14. Tarsus, 15. Kadirli, 16. Aydın, 17. Kozan, 18. Sandıklı, 19. Dinar, 20. Uşak, 21. Ceyhan, 22. Antalya, 23. Tuzla 24. İzmir, 25. Söke, 26. Kuşadası, 27. Akköy). Red stars indicate locations where Cx. pipiens was sampled, the green diamond shape indicates locations of Cx. tritaeniorhynchus and the blue pins indicate the locations of An. sacharovi.
Figure 2 in Identification of blood meals in field collected Culex pipiens, Anopheles sacharovi and Culex tritaeniorhynchus (Diptera: Culicidae) using the ELISA method
Figure 2. Percentage distributions of single and multiple host meal choices for three mosquito species collected in the Aegean and Mediterranean regions.
Figs 18–20 in Redescription of larva, pupa and adult of Anopheles (Anopheles) annulipalpis (Diptera: Culicidae) and the removal of the specie of the Cycloleppteron Series
Figs 18–20, Anopheles (Anopheles) annulipalpis Lynch Arribálzaga, 1878, pupa: 18, CT (cephalothorax); 19, MT (metathorax) and abdominal segments I-VIII (left side dorsal, right side ventral); 20, pupa trumpet; Pa. (paddle). Scales in mm except, when indicated.
Figs 10–17 in Redescription of larva, pupa and adult of Anopheles (Anopheles) annulipalpis (Diptera: Culicidae) and the removal of the specie of the Cycloleppteron Series
Figs 10–17, Anopheles (Anopheles) annulipalpis LYnch ArribÁlzaga, 1878, larva: 10, pro- (P), meso- (M) and metathorax (T), and abdominal segments I-VI (left side dorsal, right side ventral); 11, head, left dorsal side, right ventral side; 12, abdominal segments VII–X lateral view; 13, pecten plate; 14, dorsomentum; 15, detail of antenna; 16, seta 3-C alternative; 17, seta 1-III. Scales in mm.
Figs 1–9 in Redescription of larva, pupa and adult of Anopheles (Anopheles) annulipalpis (Diptera: Culicidae) and the removal of the specie of the Cycloleppteron Series
Figs 1–9, Anopheles (Anopheles) annulipalpis LYnch ArribÁlzaga, 1878. 1, Female genitalia; 2–9, male genitalia: 2, dorsal lobe of Claspette, 3; setae of dorsal lobe of Claspette; 4, aedeagus; 5, lateral view of aedeagus; 6, gonocoxite and gonostylus dorsal aspect (prerotation sense); 7, ventral lobe of Claspette; 8, detail of ventral lobe of Claspette; 9, IX-Tergum. Scales in mm, except when indicated.
Figure 2. A 496 in The Anopheles (Anopheles) maculipennis complex (Diptera: Culicidae) in Greece
Figure 2. A 496 bp alignment representing the 257 ITS2 sequences of the four members of the Anopheles maculipennis complex in Greece: An. maculipennis (472 bp), An. messeae (485 bp), An. melanoon (482 bp), and An. sacharovi (494 bp). Amplification primers are underlined. Figures in parentheses indicate numbers of sequences represented per species. Dashes (–) indicate gaps and dots (?) indicate identity of bases within the alignment.
Figure 3 in The Anopheles (Anopheles) maculipennis complex (Diptera: Culicidae) in Greece
Figure 3. Schematic diagram of the proposed restriction patterns of (1) Anopheles maculipennis, (2) An. messeae, (3) An. melanoon, and (4) An. sacharovi after digestion with the enzyme Hsp92 II.
Figure 1 in The Anopheles (Anopheles) maculipennis complex (Diptera: Culicidae) in Greece
Figure 1. Map of Greece showing the distribution of species of the Anopheles maculipennis complex collected in 10 prefectures. Pie charts represent the relative proportions of each species found in each prefecture.
Spatial and temporal characteristics of laboratory-induced Anopheles coluzzii swarms: shape, structure and flight kinematics
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Data from: Age influences the thermal suitability of Plasmodium falciparum transmission in the Asian malaria vector Anopheles stephensi
<p><span>Models predicting disease transmission are vital tools for long-term planning of malaria reduction efforts, particularly for mitigating impacts of climate change. We compared temperature-dependent malaria transmission models when mosquito life history traits were estimated from a truncated portion of the lifespan (a common practice) to traits measured across the full lifespan. We conducted an experiment on adult female <i>Anopheles stephensi, </i>the Asian urban malaria mosquito, to generate daily per capita values for mortality, egg production, and biting rate at six constant temperatures. Both temperature and age significantly affected trait values. Further, we found quantitative and qualitative differences between temperature-trait relationships estimated from truncated data versus observed lifetime values. Incorporating these temperature-trait relationships into an expression governing the thermal suitability of transmission, relative <i>R<sub>0</sub></i></span><span>(</span><i><span>T</span></i><span>)<i>,</i> resulted in minor differences in the breadth of suitable temperatures for <i>Plasmodium falciparum</i> transmission between the two models constructed from only <i>An. stephensi</i> trait data. However, we found a substantial increase in thermal niche breadth compared to a previously published model consisting of trait data from multiple <i>Anopheles</i> mosquito species. Overall, this work highlights the importance of considering how mosquito trait values vary with mosquito age and mosquito species when generating temperature-based suitability predictions of transmission.</span></p>
Anopheles stephensi occurrence data 1985 - 2019
<p>In 2012, an unusual outbreak of malaria occurred in Djibouti City followed by increasingly severe annual outbreaks. Investigations revealed the presence of an Asian mosquito species; Anopheles stephensi, which thrives in urban environments. Anopheles stephensi has since been identified in Ethiopia and Sudan.</p> <p>By combining data for An. stephensi across its full range (Asia, Arabian Peninsula, Horn of Africa) with spatial models that identify the species' preferred habitat, we provide evidence-based maps predicting the possible African locations where An. stephensi could establish if allowed to spread. </p>
Data from: Comparative assessment of a novel fan box trap for collecting Anopheles farauti and culicine mosquitoes alive in tropical north Queensland, Australia
<p>During preliminary mosquito surveys at Cowley Beach Training Area in north Queensland, Australia, it was found that the utility of the standard encephalitis virus surveillance (EVS) trap for collecting the malaria vector <em>Anopheles farauti</em> (Laveran) adults was compromised by the harsh tropical conditions. With the aim of increasing the survival rate of mosquitoes, we designed a downdraft fan box trap (FBT) that incorporated a screened fan at the bottom of the trap, so mosquitoes did not have to pass through a fan. The FBT was tested against the EVS and Centers for Disease Control (CDC) light traps, where mosquitoes do pass through a fan, and a nonpowered passive box trap (PBT). We conducted four trials to compare the quantity and survival of <em>An. farauti</em> and culicine mosquitoes were collected in these traps. Although not significant, the FBT collected more <em>An</em>. <em>farauti</em> than the EVS trap and PBT and significantly less <em>An. farauti</em> than the CDC light trap. However, the FBT improved on the CDC light trap in terms of the survival of <em>An</em>. <em>farauti</em> adults collected, with a significantly higher percentage alive in the FBT (74.6%) than in the CDC light trap (27.5%). Thus, although the FBT did not collect as many anophelines as the CDC, it proved to be superior to current trap systems for collecting large numbers of live and relatively undamaged mosquitoes. Therefore, it is recommended that FBTs be used for collecting <em>An. farauti</em> adults in northern Australia, especially when high survival and sample quality are important.</p>
Evidence for a role of Anopheles stephensi in the spread of drug- and diagnosis-resistant malaria in Africa
<p>Anopheles stephensi, an Asian malaria vector, continues to expand across Africa. The vector is now firmly established in urban settings in the Horn of Africa. Its presence in areas where malaria resurged suggested a possible role in causing malaria outbreaks. Here, using a prospective case–control design, we investigated the role of An. stephensi in transmission following a malaria outbreak in Dire Dawa, Ethiopia in April–July 2022. Screening contacts of patients with malaria and febrile controls revealed spatial clustering of Plasmodium falciparum infections around patients with malaria in strong association with the presence of An. stephensi in the household vicinity. Plasmodium sporozoites were detected in these mosquitoes. This outbreak involved clonal propagation of parasites with molecular signatures of artemisinin and diagnostic resistance. To our knowledge, this study provides the strongest evidence so far for a role of An. stephensi in driving an urban malaria outbreak in Africa, highlighting the major public health threat posed by this fast-spreading mosquito.</p>
Comprehensive characterisation of the genomic insertion site of a transgene in highly repetitive, centromeric region of Anopheles mosquitoes
<p>The availability of the genomic sequence of the malaria mosquito <em>Anopheles</em> <em>gambiae</em> has sparked in recent years the development of transgenic technologies with the potential to be used as novel tools for vector control. These technologies rely on genome editing that confers features able to affect vector capacity. This can be achieved by either reducing the mosquito population or by making mosquitoes refractory to the parasite infection. Although sophisticated molecular techniques such as those based on AttB/AttP site-specific recombination and CRISPR/Cas9 systems can lead to the integration of transgenes in specific sites of the genome, methods that allow semi-random integration are still in use due to their high efficiency; PiggyBac transposon-mediated integrations fall in this category. Characterization of the insertion site of transgenes in transgenic strains generated via PiggyBac integration can be hampered when the transgene is inserted in regions of the genome rich in repetitive sequences. Here we describe a number of techniques that were used to identify the genomic location of the transgene in a repetitive region in the <em>Anopheles gambiae</em> strain Ag(PMB)1 which was initially reported on Chromosome 3R 36D. Whilst Inverse PCR used in previous analysis was unable to distinguish between multiple genomic locations as potential insertion sites of the transgene, here we demonstrate that the use of FISH identifies clearly the integration of the transgene in a poorly annotated centromeric region of Chromosome 2R 19D. This study emphasises the need for accuracy in sequencing data for the genome of organisms of medical importance such as <em>Anopheles </em>mosquitoes. An effort to further improve reference genomes is of paramount importance to support and facilitate vector control interventions based on genome editing.</p>
Illumina RNA-Sequencing fastq data from insecticide resistant Anopheles gambiae s.l
<p>This is a dataset of Illumina RNA sequencing reads, for a project investigating resistance to Pirimiphos-methyl in the major malaria vectors, Anopheles gambiae and Anopheles coluzzii. There are four biological replicates for the following conditions:</p> <p> </p> <p>Ngousso (susceptible)</p> <p>Kisumu (susceptible)</p> <p>Bouake gambiae unexposed</p> <p>Bouake gambiae PM survivors</p> <p>Bouake coluzzii unexposed </p> <p>Bouake coluzzii PM survivors </p> <p> </p> <p>SRA submission: SUB14596876</p> <p> </p>
Fig. 5 in Anopheles (Anopheles) petragnani Del Vecchio 1939-a new mosquito species for Germany
Fig. 5 Rock pool in the granite river bed of the Murg
Fig. 4 in Effect of Bacillus sphaericus Neide on Anopheles (Diptera: Culicidae) and associated insect fauna in fish ponds in the Amazon
Fig. 4. Abundance over time of Chironomidae and values LNMH at C5, Manaus, Amazonas, Brazil.
Figure 1 in Surveillance of population dynamics and breeding habitat diversity of Anopheles subpictus in different areas of Odisha, East Central India
Figure 1. Map showing (circle marks) study areas.
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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)
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.