Evidence map›Paper›PMID 36765192›Full record

ArticleScientific reports2023

Stability of olfactory behavior syndromes in the Drosophila larva.

Seth R Odell, Nicholas Zito, David Clark, Dennis Mathew

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 49% of its field
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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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 at 1 institution in 1 country.

Seth R OdellIntegrative Neuroscience Program, University of Nevada, Reno, NV, 89557, USA.
Nicholas ZitoIntegrative Neuroscience Program, University of Nevada, Reno, NV, 89557, USA.
David ClarkIntegrative Neuroscience Program, University of Nevada, Reno, NV, 89557, USA.
Dennis MathewIntegrative Neuroscience Program, University of Nevada, Reno, NV, 89557, USA. dennismathew@unr.edu.
University of Nevada, Reno · US

Funding

Virtual Reality and Augmented Reality CoreP20GM103650 · NIGMS · UNIVERSITY OF NEVADA RENO · PI WEBSTER, MICHAEL A · 2012 to 2022
$20.9M
NIGMS NIH HHS P20 GM103650
6 · The paper itself

Abstract

Individuals of many animal populations exhibit idiosyncratic behaviors. One measure of idiosyncratic behavior is a behavior syndrome, defined as the stability of one or more behavior traits in an individual across different situations. While behavior syndromes have been described in various animal systems, their properties and the circuit mechanisms that generate them are poorly understood. We thus have an incomplete understanding of how circuit properties influence animal behavior. Here, we characterize olfactory behavior syndromes in the Drosophila larva. We show that larvae exhibit idiosyncrasies in their olfactory behavior over short time scales. They are influenced by the larva's satiety state and odor environment. Additionally, we identified a group of antennal lobe local neurons that influence the larva's idiosyncratic behavior. These findings reveal previously unsuspected influences on idiosyncratic behavior. They further affirm the idea that idiosyncrasies are not simply statistical phenomena but manifestations of neural mechanisms. In light of these findings, we discuss more broadly the importance of idiosyncrasies to animal survival and how they might be studied.

Indexed as

Drosophila ProteinsOlfactory Receptor NeuronsAnimalsBehavior, AnimalDrosophilaDrosophila melanogasterLarvaNeuronsOdorantsOlfactory PathwaysSyndromeDrosophila Proteins

Identifiers

PMID36765192
PMCPMC9918538
OpenAlexW4319925005

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.