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Dataset results
8 results for “vector adaptation”
Data for: Phenotypic adaptation to temperature in the mosquito vector, Aedes aegypti
<p><span>Most models exploring the effects of climate change on </span><span>mosquito-borne disease ignore thermal adaptation. However, if local adaptation leads to changes in mosquito thermal responses, 'one size fits all' models could fail to capture current variation between populations and future adaptive responses to changes in temperature. Here we assess phenotypic adaptation to temperature in <em>Aedes aegypti</em>, the primary vector of dengue, Zika, and chikungunya viruses. First, to explore whether there is any difference in existing thermal response of mosquitoes between populations we used a thermal knockdown assay to examine five populations of <em>Ae. aegypti </em>collected from climatically diverse locations in Mexico, together with a longstanding laboratory strain. We identified significant phenotypic variation in thermal tolerance between populations. Next, to explore whether such variation can be generated by differences in temperature we conducted an experimental passage study by establishing six replicate lines from a single field-derived population of <em>Ae. aegypti </em>from Mexico, maintaining half at 27<strong><span class="nounderlines">°</span></strong>C and the other half at 31<strong><span class="nounderlines">°</span></strong>C. After 10 generations we found a significant difference in mosquito performance, with the lines maintained under elevated temperatures showing greater thermal tolerance. Moreover, these differences in thermal tolerance translated to shifts in the thermal performance curves for multiple life history traits, leading to differences in overall fitness. Together, these novel findings provide compelling evidence that <em>Ae. aegypti </em>populations can and do differ in thermal response, suggesting that simplified thermal performance models might be insufficient for predicting the effects of climate on vector-borne disease transmission. </span></p>
Data for: Phenotypic adaptation to temperature in the mosquito vector, Aedes aegypti
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Data from: Signs of a vector's adaptive choice: on the evasion of infectious hosts and parasite-induced mortality
Laboratory and field experiments have demonstrated in many cases that malaria vectors do not feed randomly, but show important preferences either for infected or non-infected hosts. These preferences are likely in part shaped by the costs imposed by the parasites on both their vertebrate and dipteran hosts. However, the effect of changes in vector behaviour on actual parasite transmission remains a debated issue. We used the natural associations between a malaria-like parasite Polychromophilus murinus, the bat fly Nycteribia kolenatii and a vertebrate host the Daubenton's bat Myotis daubentonii to test the vector's feeding preference based on the host's infection status using two different approaches: 1) controlled behavioural assays in the laboratory where bat flies could choose between a pair of hosts; 2) natural bat fly abundance data from wild-caught bats, serving as an approximation of realised feeding preference of the bat flies. Hosts with the fewest infectious stages of the parasite were most attractive to the bat flies that did switch in the behavioural assay. In line with the hypothesis of costs imposed by parasites on their vectors, bat flies carrying parasites had higher mortality. However, in wild populations, bat flies were found feeding more based on the bat's body condition, rather than its infection level. Though the absolute frequency of host switches performed by the bat flies during the assays was low, in the context of potential parasite transmission they were extremely high. The decreased survival of infected bat flies suggests that the preference for less infected hosts is an adaptive trait. Nonetheless, other ecological processes ultimately determine the vector's biting rate and thus transmission. Inherent vector preferences therefore play only a marginal role in parasite transmission in the field. The ecological processes rather than preferences per se need to be identified for successful epidemiological predictions.
Data from: Genomic insights into adaptive divergence and speciation among malaria vectors of the Anopheles nili group
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Data from: Signs of a vector’s adaptive choice: on the evasion of infectious hosts and parasite-induced mortality
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Heterologous immunization combining vector- and mRNA-based vaccine elicits both robust innate and adaptive immune responses
GEO Series GSE282488. Mus musculus. 3 samples. Type: Expression profiling by high throughput sequencing.
Gene expression profiling of Trypanosoma cruzi in the presence of heme points to glycosomal metabolic adaptation of epimastigotes inside the vector
GEO Series GSE172452. Trypanosoma cruzi. 5 samples. Type: Expression profiling by high throughput sequencing.
Improved Innate and Adaptive Immunostimulation by Genetically Modified HIV-1 Protein Expressing NYVAC Vectors
GEO Series GSE26239. Homo sapiens. 80 samples. Type: Expression profiling by array.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.