Evidence map›Paper›PMID 17683617›Full record

ArticleBMC neuroscience2007

Exploratory behaviour in NO-dependent cyclase mutants of Drosophila shows defects in coincident neuronal signalling.

Sylvette Tinette, Lixing Zhang, Amélie Garnier, Gilbert Engler, Sophie Tares, Alain Robichon

Abstract read
In one paragraph

Article in BMC neuroscience, 2007. 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
–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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

6 authors.

Sylvette TinetteUniversité de Bourgogne, Dijon, France. tinette@cesg.cnrs.fr <tinette@cesg.cnrs.fr>
Lixing Zhang
Amélie Garnier
Gilbert Engler
Sophie Tares
Alain Robichon

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDrosophila flies explore the environment very efficiently in order to colonize it. They explore collectively, not individually, so that when a few land on a food spot, they attract the others by signs. This behaviour leads to aggregation of individuals and optimizes the screening of mates and egg-laying on the most favourable food spots.

resultsFlies perform cycles of exploration/aggregation depending on the resources of the environment. This behavioural ecology constitutes an excellent model for analyzing simultaneous processing of neurosensory information. We reasoned that the decision of flies to land somewhere in order to achieve aggregation is based on simultaneous integration of signals (visual, olfactory, acoustic) during their flight. On the basis of what flies do in nature, we designed laboratory tests to analyze the phenomenon of neuronal coincidence. We screened many mutants of genes involved in neuronal metabolism and the synaptic machinery.

conclusionMutants of NO-dependent cyclase show a specifically-marked behaviour phenotype, but on the other hand they are associated with moderate biochemical defects. We show that these mutants present errors in integrative and/or coincident processing of signals, which are not reducible to the functions of the peripheral sensory cells.

Indexed as

AnimalsAnimals, Genetically ModifiedBrainChemoreceptor CellsDrosophila melanogasterExploratory BehaviorFeeding BehaviorGene Expression Regulation, EnzymologicGuanylate CyclaseMechanoreceptorsMutationNervous SystemNeuronsNeurons, AfferentPeripheral Nervous SystemPhenotypeGuanylate CyclaseReceptors, Cytoplasmic and NuclearSoluble Guanylyl Cyclase

Identifiers

PMID17683617
PMCPMC1963332

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.