Evidence map›Paper›PMID 33529557›Full record

ArticleProceedings. Biological sciences2021

Antifungals, arthropods and antifungal resistance prevention: lessons from ecological interactions.

Steve Kett, Ayush Pathak, Stefano Turillazzi, Duccio Cavalieri, Massimiliano Marvasi

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings. Biological sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.5field-weighted citation impact, top 12% 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

5 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. 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

5 authors at 3 institutions in 3 countries.

Steve KettDepartment of Natural Sciences, Middlesex University London, London, UK.
Ayush PathakInstitute of Integrative Biology, Department of Environmental Systems Science, ETH Zürich, Zurich, Switzerland.
Stefano TurillazziDepartment of Biology, University of Florence, Sesto Fiorentino, Florence, Italy.
Duccio CavalieriDepartment of Biology, University of Florence, Sesto Fiorentino, Florence, Italy.
Massimiliano MarvasiDepartment of Biology, University of Florence, Sesto Fiorentino, Florence, Italy.
University of Florence · ITETH Zurich · CHMiddlesex University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Arthropods can produce a wide range of antifungal compounds, including specialist proteins, cuticular products, venoms and haemolymphs. In spite of this, many arthropod taxa, particularly eusocial insects, make use of additional antifungal compounds derived from their mutualistic association with microbes. Because multiple taxa have evolved such mutualisms, it must be assumed that, under certain ecological circumstances, natural selection has favoured them over those relying upon endogenous antifungal compound production. Further, such associations have been shown to persist versus specific pathogenic fungal antagonists for more than 50 million years, suggesting that compounds employed have retained efficacy in spite of the pathogens' capacity to develop resistance. We provide a brief overview of antifungal compounds in the arthropods' armoury, proposing a conceptual model to suggest why their use remains so successful. Fundamental concepts embedded within such a model may suggest strategies by which to reduce the rise of antifungal resistance within the clinical milieu.

Indexed as

Antifungal AgentsArthropodsAnimalsDrug Resistance, FungalFungiInsectaAntifungal Agentsantifungal resistanceantifungalsantimicrobial resistancearthropodsfungiinsects

Identifiers

PMID33529557
PMCPMC7893227
OpenAlexW3119684744

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.