Evidence map›Paper›PMID 37500635›Full record

ArticleNature communications2023

Locomotion modulates olfactory learning through proprioception in C. elegans.

Xu Zhan, Chao Chen, Longgang Niu, Xinran Du, Ying Lei, Rui Dan, Zhao-Wen Wang, Ping Liu

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

9 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
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  5. Symmetries and synchronization from whole-neural activity in theProceedings of the National Academy of Sciences of the United States of America · 2025
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  6. Review
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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

8 authors at 3 institutions in 2 countries.

Xu Zhan *Department of Pathophysiology, School of Basic Medicine and the Collaborative Innovation Center for Brain Science, Key Laboratory of Ministry of Education of China and Hubei Province for Neurological Disorders, Tongji Medical College, Huazhong University of Science and Technology, 430030, Wuhan, Hubei, China.ORCID 0000-0003-3915-0981
Chao Chen *Department of Orthopaedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430022, Wuhan, Hubei, China.ORCID 0000-0001-6099-4527
Longgang NiuDepartment of Neuroscience, University of Connecticut School of Medicine, Farmington, CT, 06030, USA.ORCID 0000-0001-7209-7436
Xinran DuDepartment of Neuroscience, University of Connecticut School of Medicine, Farmington, CT, 06030, USA.ORCID 0000-0002-0376-2276
Ying LeiDepartment of Pathophysiology, School of Basic Medicine and the Collaborative Innovation Center for Brain Science, Key Laboratory of Ministry of Education of China and Hubei Province for Neurological Disorders, Tongji Medical College, Huazhong University of Science and Technology, 430030, Wuhan, Hubei, China.ORCID 0000-0002-6020-6428
Rui DanDepartment of Pathophysiology, School of Basic Medicine and the Collaborative Innovation Center for Brain Science, Key Laboratory of Ministry of Education of China and Hubei Province for Neurological Disorders, Tongji Medical College, Huazhong University of Science and Technology, 430030, Wuhan, Hubei, China.ORCID 0000-0002-0426-1502
Zhao-Wen WangDepartment of Neuroscience, University of Connecticut School of Medicine, Farmington, CT, 06030, USA. zwwang@uchc.edu.ORCID 0000-0003-3574-8556
Ping LiuDepartment of Pathophysiology, School of Basic Medicine and the Collaborative Innovation Center for Brain Science, Key Laboratory of Ministry of Education of China and Hubei Province for Neurological Disorders, Tongji Medical College, Huazhong University of Science and Technology, 430030, Wuhan, Hubei, China. pingl@hust.edu.cn.ORCID 0000-0003-4909-4282
Huazhong University of Science and Technology · CNUniversity of Connecticut · USUnion Hospital · CN

Funding

Enhancing and expanding the CGC Strain CollectionP40OD010440 · OD · UNIVERSITY OF MINNESOTA · PI Aric L Daul, Ann E. Rougvie · 2012 to 2026
$7.5M
Synaptic function of BK channel-interacting proteinsR01MH085927 · NIMH · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI ZHAO-WEN WANG · 2010 to 2026
$6.7M
The function of gap junctions and chemical synapses in a simple neural circuitR01NS109388 · NINDS · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI WANG, ZHAO-WEN · 2018 to 2022
$2.0M
NIH HHS P40 OD010440NIMH NIH HHS R01 MH085927NINDS NIH HHS R01 NS109388
6 · The paper itself

Abstract

Locomotor activities can enhance learning, but the underlying circuit and synaptic mechanisms are largely unknown. Here we show that locomotion facilitates aversive olfactory learning in C. elegans by activating mechanoreceptors in motor neurons, and transmitting the proprioceptive information thus generated to locomotion interneurons through antidromic-rectifying gap junctions. The proprioceptive information serves to regulate experience-dependent activities and functional coupling of interneurons that process olfactory sensory information to produce the learning behavior. Genetic destruction of either the mechanoreceptors in motor neurons, the rectifying gap junctions between the motor neurons and locomotion interneurons, or specific inhibitory synapses among the interneurons impairs the aversive olfactory learning. We have thus uncovered an unexpected role of proprioception in a specific learning behavior as well as the circuit, synaptic, and gene bases for this function.

Indexed as

Caenorhabditis elegansGap JunctionsAnimalsAvoidance LearningInterneuronsLocomotionProprioception

Identifiers

PMID37500635
PMCPMC10374624
OpenAlexW4385331307

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.