Evidence map›Paper›PMID 32725159›Full record

ReviewJournal of insect science (Online)2020

Delivery Methods for RNAi in Mosquito Larvae.

Kashif Munawar, Azzam M Alahmed, Sayed M S Khalil

Abstract readReview
In one paragraph

Review in Journal of insect science (Online), 2020. 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
–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

14 citing papers in PubMed.

  1. EngineeredInsects · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. Challenges of Robust RNAi-Mediated Gene Silencing inInternational journal of molecular sciences · 2024
    Article
  6. Article
  7. Review
  8. Outlook on RNAi-Based Strategies for ControllingPathogens (Basel, Switzerland) · 2023
    Review
  9. Mosquito gene targeted RNAi studies for vector control.Functional & integrative genomics · 2023
    Review
  10. Article
  11. Article
  12. Review
  13. RNAi by SoakingInsects · 2021
    Article
  14. Article
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.

Kashif MunawarPlant Protection Department, College of Food and Agricultural Sciences, King Saud University, Riyadh, Saudi Arabia.
Azzam M AlahmedPlant Protection Department, College of Food and Agricultural Sciences, King Saud University, Riyadh, Saudi Arabia.
Sayed M S KhalilPlant Protection Department, College of Food and Agricultural Sciences, King Saud University, Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mosquito-transmitted diseases pose a threat for a great portion of the world population. Chemical insecticides are the main tool for mosquito control. Heavy dependence on chemicals created several problems such as resistance development in many mosquito species, environmental effects, and human health issues. Other tools for mosquito control were developed and used in some parts of the world. Ribonucleic acid interference (RNAi) is a reverse genetic mechanism that was recently introduced as a new tool for pest control. Regarding mosquito, RNAi was used to study gene function and to discover genes that can be used as targets for control purposes. Several delivery methods are used to induce RNAi in mosquito larvae. Some methods such as injection and soaking are used routinely in RNAi research but have no application in the field. Other methods such as nanoparticles and microbes have some characteristics that make them good candidates for field application. In this report, we will focus on delivery methods for RNAi in mosquito larvae and will give examples for each method.

Indexed as

CulicidaeRNA InterferenceAnimalsLarvaMosquito Controldeliverymosquito controlnanoparticlesRNAiyeast

Identifiers

PMID32725159
PMCPMC7387866

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.