Evidence map›Paper›PMID 34603490›Full record

ArticleEvolutionary applications2021

Gene drive strategies of pest control in agricultural systems: Challenges and opportunities.

Mathieu Legros, John M Marshall, Sarina Macfadyen, Keith R Hayes, Andy Sheppard, Luke G Barrett

Abstract read
In one paragraph

Article in Evolutionary applications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
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  4. Why just fly?Fly · 2025
    Review
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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.

Mathieu LegrosCSIRO Agriculture and Food Canberra ACT Australia.ORCID https://orcid.org/0000-0003-3807-8594
John M MarshallDivisions of Biostatistics and Epidemiology - School of Public Health University of California Berkeley CA USA.ORCID https://orcid.org/0000-0003-0603-7341
Sarina MacfadyenCSIRO Agriculture and Food Canberra ACT Australia.
Keith R HayesCSIRO Data 61 Hobart Tas. Australia.
Andy SheppardCSIRO Health and Biosecurity Canberra ACT Australia.
Luke G BarrettCSIRO Agriculture and Food Canberra ACT Australia.ORCID https://orcid.org/0000-0001-6530-0731

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent advances in gene-editing technologies have opened new avenues for genetic pest control strategies, in particular around the use of gene drives to suppress or modify pest populations. Significant uncertainty, however, surrounds the applicability of these strategies to novel target species, their efficacy in natural populations and their eventual safety and acceptability as control methods. In this article, we identify issues associated with the potential use of gene drives in agricultural systems, to control pests and diseases that impose a significant cost to agriculture around the world. We first review the need for innovative approaches and provide an overview of the most relevant biological and ecological traits of agricultural pests that could impact the outcome of gene drive approaches. We then describe the specific challenges associated with using gene drives in agricultural systems, as well as the opportunities that these environments may offer, focusing in particular on the advantages of high-threshold gene drives. Overall, we aim to provide a comprehensive view of the potential opportunities and the remaining uncertainties around the use of gene drives in agricultural systems.

Indexed as

agriculturegene drivegenetic controlpest controlresistancerisk analysisunderdominance

Identifiers

PMID34603490
PMCPMC8477592

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.