Evidence map›Paper›PMID 28321365›Full record

ArticlePeerJ2017

Testing the habituation assumption underlying models of parasitoid foraging behavior.

Paul K Abram, Antonino Cusumano, Katrina Abram, Stefano Colazza, Ezio Peri

Abstract read
In one paragraph

Article in PeerJ, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Hyperparasitism ofInsects · 2021
    Article
  2. 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

5 authors.

Paul K Abram *Université de Montréal, Institut de Recherche en Biologie Végétale, Montréal, Canada.
Antonino Cusumano *Dipartimento di Scienze Agrarie e Forestali, Università degli Studi di Palermo, Palermo, Italy.
Katrina AbramUniversité de Montréal, Institut de Recherche en Biologie Végétale, Montréal, Canada.
Stefano ColazzaDipartimento di Scienze Agrarie e Forestali, Università degli Studi di Palermo, Palermo, Italy.
Ezio PeriDipartimento di Scienze Agrarie e Forestali, Università degli Studi di Palermo, Palermo, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHabituation, a form of non-associative learning, has several well-defined characteristics that apply to a wide range of physiological and behavioral responses in many organisms. In classic patch time allocation models, habituation is considered to be a major mechanistic component of parasitoid behavioral strategies. However, parasitoid behavioral responses to host cues have not previously been tested for the known, specific characteristics of habituation.

methodsIn the laboratory, we tested whether the foraging behavior of the egg parasitoid

resultsAs would be expected of a habituated response, wasps trained at higher frequencies decreased their behavioral response to host footprints more quickly and to a greater degree than those trained at low frequencies, and subsequently showed a more rapid, although partial, recovery of their behavioral response to host footprints. This putative habituation learning could not be blocked by cold anesthesia, ingestion of an ATPase inhibitor, or ingestion of a protein synthesis inhibitor. DISCUSSION: Our study provides support for the assumption that diminishing responses of parasitoids to chemical indicators of host presence constitutes habituation as opposed to sensory fatigue, and provides a preliminary basis for exploring the underlying mechanisms.

Indexed as

HabituationInfochemical cuesLearningOptimal foraging theoryPatch exploitation

Identifiers

PMID28321365
PMCPMC5357337

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.