Evidence map›Paper›PMID 35864204›Full record

ArticleCommunications biology2022

Seed choice in ground beetles is driven by surface-derived hydrocarbons.

Khaldoun A Ali, Boyd A Mori, Sean M Prager, Christian J Willenborg

Abstract read
In one paragraph

Article in Communications biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

4 authors.

Khaldoun A AliPlant Sciences Department, College of Agriculture and Bioresources, University of Saskatchewan, Saskatoon, Saskatchewan, Canada. kaa316@mail.usask.ca.ORCID http://orcid.org/0000-0003-2552-2668
Boyd A MoriDepartment of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada.
Sean M PragerPlant Sciences Department, College of Agriculture and Bioresources, University of Saskatchewan, Saskatoon, Saskatchewan, Canada.ORCID http://orcid.org/0000-0002-4708-9618
Christian J WillenborgPlant Sciences Department, College of Agriculture and Bioresources, University of Saskatchewan, Saskatoon, Saskatchewan, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ground beetles (Coleoptera: Carabidae) are among the most prevalent biological agents in temperate agroecosystems. Numerous species function as omnivorous predators, feeding on both pests and weed seeds, yet the sensory ecology of seed perception in omnivorous carabids remains poorly understood. Here, we explore the sensory mechanisms of seed detection and discrimination in four species of omnivorous carabids: Poecilus corvus, Pterostichus melanarius, Harpalus amputatus, and Amara littoralis. Sensory manipulations and multiple-choice seed feeding bioassays showed olfactory perception of seed volatiles as the primary mechanism used by omnivorous carabids to detect and distinguish among seeds of Brassica napus, Sinapis arvensis, and Thlaspi arvense (Brassicaceae). Seed preferences differed among carabid species tested, but the choice of desirable seed species was generally guided by the olfactory perception of long chain hydrocarbons derived from the seed coat surface. These olfactory seed cues were essential for seed detection and discrimination processes to unfold. Disabling the olfactory appendages (antennae and palps) of carabid beetles by ablation left them unable to make accurate seed choices compared to intact beetles.

Indexed as

Brassica napusColeopteraAnimalsHydrocarbonsSeedsSmellHydrocarbons

Identifiers

PMID35864204
PMCPMC9304415

What OpenQuestion holds

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LicenceCC BY
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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.