Evidence map›Paper›PMID 11665858›Full record

ArticleJournal of molecular neuroscience : MN2001

Changes in neuronal acetylcholinesterase gene expression and division of labor in honey bee colonies.

M Shapira, C K Thompson, H Soreq, G E Robinson

Abstract read
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In one paragraph

Article in Journal of molecular neuroscience : MN, 2001. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

27 citing papers in PubMed, 86 citations in OpenAlex.

  1. Article
  2. Insects · 2026
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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

4 authors at 3 institutions in 2 countries.

M ShapiraDepartment of Biological Chemistry, the Life Sciences Institute, the Hebrew University of Jerusalem, Givat Ram.
C K Thompson
H Soreq
G E Robinson
Goodwin College · USHebrew University of Jerusalem · ILStanford University · US

Funding

NIDCD NIH HHS DC3008
6 · The paper itself

Abstract

Division of labor in honey bee colonies is highlighted by adult bees making a transition at 2-3 wk of age from working in the hive to foraging for nectar and pollen outside. This behavioral development involves acquisition of new tasks that may require advanced learning capabilities. Because acetylcholinesterase (AChE) hydrolyzes acetylcholine, a major neurotransmitter associated with learning in the insect brain, we searched for changes in AChE expression in the brain during bee behavioral development. Biochemical aspects of the AChE protein were similar in foragers and "nurse" bees that work in the hive tending brood. However, catalytic AChE activity was significantly lower in foragers. Cloning of bee AChE cDNA enabled mRNA analysis, which demonstrated that the forager-related decrease in AChE activity was associated with decreased AChE mRNA levels. This was particularly apparent in the mushroom bodies, a brain region known to be involved with olfactory and visual learning and memory. In addition, treatment with the AChE-inhibitor metrifonate improved performance in an olfactory-learning assay. These findings demonstrate long-term, naturally occurring developmental downregulation of AChE gene expression in the bee brain, and suggest that this genomic plasticity can contribute to facilitated learning capabilities in forager bees.

Indexed as

Behavior, AnimalGene Expression Regulation, EnzymologicAcetylcholinesteraseAmino Acid SequenceAnimalsBeesBrainCholinesterase InhibitorsHumansLearningMolecular Sequence DataNeuronsRNA, MessengerSequence AlignmentSmellTrichlorfonAcetylcholinesteraseCholinesterase InhibitorsRNA, MessengerTrichlorfon

Identifiers

PMID11665858
OpenAlexW2148734013

What OpenQuestion holds

Textmetadata
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.