Evidence map›Paper›PMID 39853485›Full record

ArticleJournal of chemical ecology2025

Gene Silencing of Olfactory Receptor Coreceptor by Systemic RNA Interference in Callosobruchus maculatus.

Kenji Shimomura, Keito Sakita, Takehito Terajima, Motohiro Tomizawa

Abstract read
In one paragraph

Article in Journal of chemical ecology, 2025. 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. Review
  2. Article
  3. Review
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.

Kenji ShimomuraDepartment of Chemistry for Life Sciences and Agriculture, Faculty of Life Sciences, Tokyo University of Agriculture, Tokyo, Japan. k3shimom@nodai.ac.jp.
Keito SakitaDepartment of Chemistry for Life Sciences and Agriculture, Faculty of Life Sciences, Tokyo University of Agriculture, Tokyo, Japan.
Takehito TerajimaDepartment of Chemistry for Life Sciences and Agriculture, Faculty of Life Sciences, Tokyo University of Agriculture, Tokyo, Japan.
Motohiro TomizawaDepartment of Chemistry for Life Sciences and Agriculture, Faculty of Life Sciences, Tokyo University of Agriculture, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Seed beetles are pernicious pests of leguminous seeds and are distributed globally. They cause great economic losses, particularly in developing countries. Of this genus, the cowpea weevil (Callosobruchus maculatus) is the most destructive and common species of this beetle. However, there are no effective and sustainable control strategies available for this species. Nevertheless, sustainable pest management strategies using sex pheromone compounds have been proposed, as C. maculatus uses species-specific sex pheromone signals for pre-mating isolation. Therefore, this study aimed to investigate the attractive capacity of male C. maculatus after RNA interference (RNAi)-based gene knockdown of olfactory receptor coreceptor (Cmac\Orco). The RNAi effect showed more than 90% reduction in transcripts, and a behavioral bioassay using a Y-tube olfactometer indicated that knocking down males impaired sexual attraction toward females, which would be a useful tool for further screening of target molecules for odorant chemical communication.

Indexed as

ColeopteraInsect ProteinsReceptors, OdorantRNA InterferenceWeevilsAnimalsFemaleMaleSex AttractantsSexual Behavior, AnimalInsect ProteinsReceptors, OdorantSex AttractantsCallosobruchus maculatusOlfactory receptor-coreceptorRNA interferenceSeed beetle

Identifiers

PMID39853485
PMCPMC11761779

What OpenQuestion holds

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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.