Evidence map›Paper›PMID 32797066›Full record

ArticlePloS one2020

Community acceptance of yeast interfering RNA larvicide technology for control of Aedes mosquitoes in Trinidad.

Akilah T M Stewart, Nikhella Winter, Jessica Igiede, Limb K Hapairai, Lester D James, Rachel Shui Feng, Azad Mohammed, David W Severson, Molly Duman-Scheel

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.1field-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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Article
  3. Outlook on RNAi-Based Strategies for ControllingPathogens (Basel, Switzerland) · 2023
    Review
  4. Article
  5. RNAi-based pest control: Production, application and the fate of dsRNA.Frontiers in bioengineering and biotechnology · 2022
    Review
  6. Article
  7. Article
  8. Frontiers in microbiology · 2020
    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

9 authors at 2 institutions in 2 countries.

Akilah T M StewartDepartment of Life Sciences, The University of the West Indies at St. Augustine, St. Augustine, Trinidad and Tobago.
Nikhella WinterDepartment of Life Sciences, The University of the West Indies at St. Augustine, St. Augustine, Trinidad and Tobago.
Jessica IgiedeEck Institute for Global Health, University of Notre Dame, Notre Dame, Indiana, United States of America.
Limb K HapairaiEck Institute for Global Health, University of Notre Dame, Notre Dame, Indiana, United States of America.
Lester D JamesDepartment of Life Sciences, The University of the West Indies at St. Augustine, St. Augustine, Trinidad and Tobago.
Rachel Shui FengDepartment of Life Sciences, The University of the West Indies at St. Augustine, St. Augustine, Trinidad and Tobago.
Azad MohammedDepartment of Life Sciences, The University of the West Indies at St. Augustine, St. Augustine, Trinidad and Tobago.
David W SeversonDepartment of Life Sciences, The University of the West Indies at St. Augustine, St. Augustine, Trinidad and Tobago.
Molly Duman-ScheelEck Institute for Global Health, University of Notre Dame, Notre Dame, Indiana, United States of America.ORCID 0000-0003-1254-5369
University of the West Indies · TTUniversity of Notre Dame · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA interference (RNAi), a technique used to investigate gene function in insects and other organisms, is attracting attention as a potential new technology for mosquito control. Saccharomyces cerevisiae (baker's yeast) was recently engineered to produce interfering RNA molecules that silence genes required for mosquito survival, but which do not correspond to genes in humans or other non-target organisms. The resulting yeast pesticides, which facilitate cost-effective production and delivery of interfering RNA to mosquito larvae that eat the yeast, effectively kill mosquitoes in laboratory and semi-field trials. In preparation for field evaluation of larvicides in Trinidad, a Caribbean island with endemic diseases resulting from pathogens transmitted by Aedes mosquitoes, adult residents living in the prospective trial site communities of Curepe, St. Augustine, and Tamana were engaged. Open community forums and paper surveys were used to assess the potential acceptability, societal desirability, and sustainability of yeast interfering RNA larvicides. These assessments revealed that Trinidadians have good working knowledge of mosquitoes and mosquito-borne illnesses. A majority of the respondents practiced some method of larval mosquito control and agreed that they would use a new larvicide if it were proven to be safe and effective. During the community engagement forums, participants were educated about mosquito biology, mosquito-borne diseases, and the new yeast larvicides. When invited to provide feedback, engagement forum attendees were strongly supportive of the new technology, raised few concerns, and provided helpful advice regarding optimal larvicide formulations, insecticide application, operational approaches for using the larvicides, and pricing. The results of these studies suggest that the participants are supportive of the potential use of yeast interfering RNA larvicides in Trinidad and that the communities assessed in this investigation represent viable field sites.

Indexed as

RNA InterferenceAdultAedesAnimalsFemaleGenetic EngineeringHumansLarvaMaleMiddle AgedMosquito ControlMosquito VectorsPest Control, BiologicalResidence CharacteristicsRNA, Small InterferingSaccharomyces cerevisiaeRNA, Small Interfering

Identifiers

PMID32797066
PMCPMC7428178
OpenAlexW3049205897

What OpenQuestion holds

Textmetadata
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.