Evidence map›Paper›PMID 36494463›Full record

ArticleScientific reports2022

Visual threats reduce blood-feeding and trigger escape responses in Aedes aegypti mosquitoes.

Nicole E Wynne, Karthikeyan Chandrasegaran, Lauren Fryzlewicz, Clément Vinauger

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Nicole E WynneDepartment of Biochemistry, Virginia Polytechnic Institute and State University, Blacksburg, VA, 24061, USA.
Karthikeyan ChandrasegaranDepartment of Biochemistry, Virginia Polytechnic Institute and State University, Blacksburg, VA, 24061, USA.
Lauren FryzlewiczDepartment of Biochemistry, Virginia Polytechnic Institute and State University, Blacksburg, VA, 24061, USA.
Clément VinaugerDepartment of Biochemistry, Virginia Polytechnic Institute and State University, Blacksburg, VA, 24061, USA. vinauger@vt.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The diurnal mosquitoes Aedes aegypti are vectors of several arboviruses, including dengue, yellow fever, and Zika viruses. To find a host to feed on, they rely on the sophisticated integration of olfactory, visual, thermal, and gustatory cues emitted by the hosts. If detected by their target, this latter may display defensive behaviors that mosquitoes need to be able to detect and escape in order to survive. In humans, a typical response is a swat of the hand, which generates both mechanical and visual perturbations aimed at a mosquito. Here, we used programmable visual displays to generate expanding objects sharing characteristics with the visual component of an approaching hand and quantified the behavioral response of female mosquitoes. Results show that Ae. aegypti is capable of using visual information to decide whether to feed on an artificial host mimic. Stimulations delivered in a LED flight arena further reveal that landed Ae. aegypti females display a stereotypical escape strategy by taking off at an angle that is a function of the direction of stimulus introduction. Altogether, this study demonstrates that mosquitoes landed on a host mimic can use isolated visual cues to detect and avoid a potential threat.

Indexed as

AedesDengue VirusZika VirusZika Virus InfectionAnimalsFemaleHumansMosquito Vectors

Identifiers

PMID36494463
PMCPMC9734121

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.