Evidence map›Paper›PMID 42520029›Full record

ArticlePloS one2026

Distribution and efficacy of ingested dsRNA targeting tissue-specific genes in the Argentine ant, Linepithema humile.

Mathew A Dittmann, Grzegorz Buczkowski, Brock A Harpur

Abstract read
In one paragraph

Article in PloS one, 2026. 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

3 authors.

Mathew A DittmannDepartment of Entomology, Purdue University, West Lafayette, Indiana, United States of America.ORCID https://orcid.org/0009-0003-0898-4008
Grzegorz BuczkowskiDepartment of Entomology, Purdue University, West Lafayette, Indiana, United States of America.
Brock A HarpurDepartment of Entomology, Purdue University, West Lafayette, Indiana, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the increasing availability of genomic and transcriptomic information within Formicidae, the investigation of gene function has become possible within ants. However, eusocial life history renders the generation of mutagenic strains of ants difficult outside of specific ant lineages that can induce reproductive behavior in workers. RNA interference (RNAi) remains a practical option to investigate gene function within their genomic context in ant lineages that do not exhibit reproductive behavior in workers. This method can be leveraged to investigate the large odorant receptor (OR) gene families present in ant clades. However, ORs tend to be expressed in a tissue-specific fashion, and the capability of dsRNA to achieve knockdown of genes exhibiting localized expression remains uncertain. In this study, we use fluorescently labelled dsRNA to track the spread of dsRNA through the worker body, qPCR to verify that dsRNA can knockdown gene expression in the antennae, and behavioral trials to verify that knockdown of ORs affects nestmate recognition. Our results show ingested dsRNA is able to reach the antennae and knock down odorant coreceptor (orco) expression in the antennae. We determined that orally-administered dsRNA is capable of being spread systemically and knocking down tissue-specific genes. These findings show that RNAi may be useful in investigating the influence of ORs in eusocial insect nestmate recognition.

Indexed as

AntsInsect ProteinsReceptors, OdorantRNA, Double-StrandedAnimalsArthropod AntennaeGene Knockdown TechniquesOrgan SpecificityRNA InterferenceInsect ProteinsReceptors, OdorantRNA, Double-Stranded

Identifiers

PMID42520029
PMCPMC13411904

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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.