Evidence map›Paper›PMID 22996441›Full record

ArticleThe Journal of experimental biology2013

Associative learning in the dengue vector mosquito, Aedes aegypti: avoidance of a previously attractive odor or surface color that is paired with an aversive stimulus.

Gil Menda, Joshua H Uhr, Robert A Wyttenbach, Françoise M Vermeylen, David M Smith, Laura C Harrington, Ronald R Hoy

Abstract read
In one paragraph

Article in The Journal of experimental biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Review
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  11. The Olfactory Proboscis Extension Response in the Honey Bee: A Laboratory Exercise in Classical Conditioning.Journal of undergraduate neuroscience education : JUNE : a publication of FUN, Faculty for Undergraduate Neuroscience · 2018
    Article
  12. Review
  13. Article
  14. Factors influencing aversive learning in the oriental fruit fly, Bactrocera dorsalis.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2017
    Article
  15. Review
  16. Article
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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

7 authors.

Gil MendaDepartment of Neurobiology and Behavior, Cornell University, Ithaca, NY 14853, USA.
Joshua H Uhr
Robert A Wyttenbach
Françoise M Vermeylen
David M Smith
Laura C Harrington
Ronald R Hoy

Funding

ACOUSTIC BEHAVIOR--NEURAL AND DEVELOPMENTAL BASESR01DC000103 · NIDCD · CORNELL UNIVERSITY ITHACA · PI HOY, RONALD R · 1988 to 2014
$3.9M
NIDCD NIH HHS 5R01DC103-37NIDCD NIH HHS R01 DC000103
6 · The paper itself

Abstract

Associative learning has been shown in a variety of insects, including the mosquitoes Culex quinquefasciatus and Anopheles gambiae. This study demonstrates associative learning for the first time in Aedes aegypti, an important vector of dengue, yellow fever and chikungunya viruses. This species prefers to rest on dark surfaces and is attracted to the odor of 1-octen-3-ol. After training in which a dark surface alone or a dark surface with odor was paired with electric shock, mosquitoes avoided the previously attractive area. The association was stronger when odor was included in training, was retained for at least 60 min but not for 24 h, and was equal for males and females. These results demonstrate the utility of a bulk-training paradigm for mosquitoes similar to that used with Drosophila melanogaster.

Indexed as

ColorAedesAnimalsAvoidance LearningConditioning, OperantDengueElectroshockFemaleHumansInsect VectorsMaleOctanolsOdorantsSurface Properties1-octen-3-olOctanols

Identifiers

PMID22996441
PMCPMC3597203

What OpenQuestion holds

Textmetadata
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.