Evidence map›Paper›PMID 37814951›Full record

ArticleeLife2023

Tyramine and its

Joseph S Latshaw, Reece E Mazade, Mary Petersen, Julie A Mustard, Irina Sinakevitch, Lothar Wissler, Xiaojiao Guo, Chelsea Cook, Hong Lei, Jürgen Gadau and 1 more

Open access · goldAbstract read
In one paragraph

Article in eLife, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

5 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Reinforcement expectation in the honeybee (Learning & memory (Cold Spring Harbor, N.Y.) · 2024
    Article
  5. Tyramine and itseLife · 2023
    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

11 authors at 1 institution in 1 country.

Joseph S LatshawSchool of Life Sciences, Arizona State University, Tempe, United States.
Reece E MazadeSchool of Life Sciences, Arizona State University, Tempe, United States.
Mary PetersenSchool of Life Sciences, Arizona State University, Tempe, United States.
Julie A MustardSchool of Life Sciences, Arizona State University, Tempe, United States.ORCID 0000-0002-1412-1140
Irina SinakevitchSchool of Life Sciences, Arizona State University, Tempe, United States.
Lothar WisslerSchool of Life Sciences, Arizona State University, Tempe, United States.
Xiaojiao GuoSchool of Life Sciences, Arizona State University, Tempe, United States.
Chelsea CookSchool of Life Sciences, Arizona State University, Tempe, United States.
Hong LeiSchool of Life Sciences, Arizona State University, Tempe, United States.
Jürgen GadauSchool of Life Sciences, Arizona State University, Tempe, United States.
Brian SmithSchool of Life Sciences, Arizona State University, Tempe, United States.ORCID 0000-0001-7018-8561
Arizona State University · US

Funding

Multiscale model of exploration-exploitation tradeoff: from genes to collectivesR01GM113967 · NIGMS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI SMITH, BRIAN H. · 2015 to 2018
$1.9M
CRCNS: Switching antennal lobe dynamic regime via olfactory and mechanical signalR01DC020892 · NIDCD · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI BAZHENOV, MAKSIM V, LEI, HONG · 2022 to 2024
$1.1M
NIDCD NIH HHS R01 DC020892NIGMS NIH HHS R01 GM113967
6 · The paper itself

Abstract

Animals must learn to ignore stimuli that are irrelevant to survival and attend to ones that enhance survival. When a stimulus regularly fails to be associated with an important consequence, subsequent excitatory learning about that stimulus can be delayed, which is a form of nonassociative conditioning called 'latent inhibition'. Honey bees show latent inhibition toward an odor they have experienced without association with food reinforcement. Moreover, individual honey bees from the same colony differ in the degree to which they show latent inhibition, and these individual differences have a genetic basis. To investigate the mechanisms that underly individual differences in latent inhibition, we selected two honey bee lines for high and low latent inhibition, respectively. We crossed those lines and mapped a Quantitative Trait Locus for latent inhibition to a region of the genome that contains the tyramine receptor gene

Indexed as

SmellTyramineAnimalsAttentionBeesHumansLearningMemoryTyramineattentiongeneticsgenomicshoney beelatent inhibitionneurosciencetyramine receptor

Identifiers

PMID37814951
PMCPMC10564449
OpenAlexW4387472654

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.