Evidence map›Paper›PMID 29540519›Full record

ArticleProceedings. Biological sciences2018

Antennal scales improve signal detection efficiency in moths.

Qike Wang, Yidan Shang, Douglas S Hilton, Kiao Inthavong, Dong Zhang, Mark A Elgar

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.1field-weighted citation impact, top 7% of its field
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

14 citing papers in PubMed, 42 citations in OpenAlex.

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  10. Insect pectinate antennae maximize odor capture efficiency at intermediate flight speeds.Proceedings of the National Academy of Sciences of the United States of America · 2020
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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 at 4 institutions in 2 countries.

Qike WangSchool of BioSciences, The University of Melbourne, Melbourne, Victoria 3010, Australia wangqike123@gmail.com.ORCID 0000-0001-8012-027X
Yidan ShangSchool of Engineering, RMIT University, Victoria 3083, Australia.ORCID 0000-0001-8705-1625
Douglas S HiltonWalter and Eliza Hall Institute of Medical Research, Victoria 3052, Australia.ORCID 0000-0002-7698-2392
Kiao InthavongSchool of Engineering, RMIT University, Victoria 3083, Australia.ORCID 0000-0003-0476-0237
Dong ZhangSchool of Nature Conservation, Beijing Forestry University, Beijing 100083, People's Republic of China.ORCID 0000-0001-6427-7867
Mark A ElgarSchool of BioSciences, The University of Melbourne, Melbourne, Victoria 3010, Australia.ORCID 0000-0003-0861-6064
RMIT University · AUThe University of Melbourne · AUBeijing Forestry University · CNWalter and Eliza Hall Institute of Medical Research · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The elaborate bipectinate antennae of male moths are thought to increase their sensitivity to female sex pheromones, and so should be favoured by selection. Yet simple filamentous antennae are the most common structure among moths. The stereotypic arrangements of scales on the surface of antennae may resolve this paradox. We use computational fluid dynamics techniques to model how scales on the filamentous antennae of moths affect the passage of different particles in the airflow across the flagellum in both small and large moths. We found that the scales provide an effective solution to improve the efficacy of filamentous antennae, by increasing the concentration of nanoparticles, which resemble pheromones, around the antennae. The smaller moths have a greater increase in antennal efficiency than larger moths. The scales also divert microparticles, which resemble dust, away from the antennal surface, thereby reducing contamination. The positive correlations between antennal scale angles and sensilla number across Heliozelidae moths are consistent with the predictions of our model.

Indexed as

Animal CommunicationAnimalsArthropod AntennaeComputational BiologyFemaleHydrodynamicsMaleModels, TheoreticalMothsNanoparticlesPheromonesSensillaPheromonesantennal scaleschemical communicationcomputational fluid dynamicspheromonesignal receiver

Identifiers

PMID29540519
PMCPMC5879631
OpenAlexW2792501071

What OpenQuestion holds

Textmetadata
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.