Evidence map›Paper›PMID 28602240›Full record

ReviewCurrent opinion in insect science2017

Olfactory learning and chemical ecology of olfaction in disease vector mosquitoes: a life history perspective.

Eleanor K Lutz, Chloé Lahondère, Clément Vinauger, Jeffrey A Riffell

Abstract readReview
In one paragraph

Review in Current opinion in insect science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Olfaction in Anopheles mosquitoes.Chemical senses · 2021
    Review
  12. Olfactory systems across mosquito species.Cell and tissue research · 2021
    Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Silencing the Odorant Binding ProteinFrontiers in physiology · 2018
    Article
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.

Eleanor K LutzDepartment of Biology, University of Washington, Seattle, WA 98195, United States.
Chloé LahondèreDepartment of Biology, University of Washington, Seattle, WA 98195, United States.
Clément VinaugerDepartment of Biology, University of Washington, Seattle, WA 98195, United States.
Jeffrey A RiffellDepartment of Biology, University of Washington, Seattle, WA 98195, United States. Electronic address: jriffell@uw.edu.

Funding

CRCNS: Decision-making in flying insects using multisensory cuesR01DC013693 · NIDCD · UNIVERSITY OF WASHINGTON · PI DICKINSON, MICHAEL H, FAIRHALL, ADRIENNE L · 2013 to 2016
$1.1M
NIDCD NIH HHS R01 DC013693
6 · The paper itself

Abstract

Mosquitoes transmit many debilitating diseases including malaria, dengue and Zika. Odors mediate behaviors that directly impact disease transmission (blood-feeding) as well as life history events that contribute to mosquito survival and fitness (mating and oviposition, nectar foraging, larval foraging and predator avoidance). In addition to innate olfaction-mediated behaviors, mosquitoes rely on olfactory experience throughout their life to inform advantageous choices in many of these important behaviors. Previous reviews have addressed either the chemical ecology of mosquitoes, or olfactory-driven behaviors including host-feeding or oviposition. Adding to this literature, we use a holistic life history perspective to integrate and compare innate and learned olfactory behavior at various stages of mosquito development.

Indexed as

LearningAnimalsCulicidaeFeeding BehaviorLife Cycle StagesMosquito VectorsSmell

Identifiers

PMID28602240
PMCPMC5492930

What OpenQuestion holds

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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.