Evidence map›Paper›PMID 41318856›Full record

ArticleCommunications biology2025

The chemosensory toolkit of the cursorial spider Pisaura mirabilis.

Mohammad Belal Talukder, Carsten H G Müller, Andreas Fischer, Vedanti Mahimkar, Jonas O Wolff, Gabriele B Uhl

Abstract read
In one paragraph

Article in Communications biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Mohammad Belal TalukderGeneral and Systematic Zoology, University of Greifswald, Greifswald, Germany. mb.talukder.bd@gmail.com.ORCID http://orcid.org/0009-0008-6441-7733
Carsten H G MüllerGeneral and Systematic Zoology, University of Greifswald, Greifswald, Germany.ORCID http://orcid.org/0000-0001-6644-6177
Andreas FischerGeneral and Systematic Zoology, University of Greifswald, Greifswald, Germany.ORCID http://orcid.org/0000-0001-5922-8411
Vedanti MahimkarGeneral and Systematic Zoology, University of Greifswald, Greifswald, Germany.ORCID http://orcid.org/0009-0005-4977-2313
Jonas O WolffEvolutionary Biomechanics, University of Greifswald, Greifswald, Germany.ORCID http://orcid.org/0000-0003-2326-0326
Gabriele B UhlGeneral and Systematic Zoology, University of Greifswald, Greifswald, Germany. gabriele.uhl@uni-greifswald.de.ORCID http://orcid.org/0000-0001-8758-7913

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) 451487045
6 · The paper itself

Abstract

Chemical sensing is essential for animals to locate food, avoid predators, and find mates. Like many arthropods, spiders rely on chemosensory inputs, but their toolkit remains largely unknown. Here, we investigate the basics of chemosensing in the cursorial spider Pisaura mirabilis. Using electron microscopy, we identified two types of chemosensory sensilla. Tip-pore sensilla occur on legs and pedipalps of both sexes, while wall-pore sensilla are found on walking legs of adult males only. Tip-pore sensilla are classified as contact chemosensilla, while wall-pore sensilla are classified as odor-detecting sensilla. Our behavioral studies confirm that males are attracted to female odor. The distribution of these sensilla types supports their functions: tip-pore sensilla occur mainly at the tips of the legs, whereas wall-pore sensilla occur closer to leg bases, not contacting the substrate. These findings expand our knowledge of chemosensing in spiders and have implications for research on arthropod chemical ecology.

Indexed as

SensillaSpidersAnimalsExtremitiesFemaleMaleOdorants

Identifiers

PMID41318856
PMCPMC12673132

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Registered trials

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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.