Evidence map›Paper›PMID 39336621›Full record

ReviewInsects2024

Advancements and Future Prospects of CRISPR-Cas-Based Population Replacement Strategies in Insect Pest Management.

Yu Zhao, Longfeng Li, Liangzi Wei, Yifan Wang, Zhilin Han

Abstract readReview
In one paragraph

Review in Insects, 2024. 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
–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

8 citing papers in PubMed.

  1. 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

5 authors.

Yu ZhaoCollege of Life Science and Technology, Gansu Agricultural University, Lanzhou 730070, China.ORCID 0000-0003-4583-0369
Longfeng LiCollege of Life Science and Technology, Gansu Agricultural University, Lanzhou 730070, China.ORCID 0000-0001-9884-6220
Liangzi WeiCollege of Life Science and Technology, Gansu Agricultural University, Lanzhou 730070, China.
Yifan WangCollege of Life Science and Technology, Gansu Agricultural University, Lanzhou 730070, China.
Zhilin HanCollege of Life Science and Technology, Gansu Agricultural University, Lanzhou 730070, China.

Funding

Fuxi Youth Talent Project of Gansu Agricultural University Gaufx-03Y03National Natural Science Foundation of China 31900347Scientific and Technological Innovation Foundation of Gansu Agricultural University-PhD research startup foundation GAU-KYQD-2019-26
6 · The paper itself

Abstract

Population replacement refers to the process by which a wild-type population of insect pests is replaced by a population possessing modified traits or abilities. Effective population replacement necessitates a gene drive system capable of spreading desired genes within natural populations, operating under principles akin to super-Mendelian inheritance. Consequently, releasing a small number of genetically edited insects could potentially achieve population control objectives. Currently, several gene drive approaches are under exploration, including the newly adapted CRISPR-Cas genome editing system. Multiple studies are investigating methods to engineer pests that are incapable of causing crop damage or transmitting vector-borne diseases, with several notable successful examples documented. This review summarizes the recent advancements of the CRISPR-Cas system in the realm of population replacement and provides insights into research methodologies, testing protocols, and implementation strategies for gene drive techniques. The review also discusses emerging trends and prospects for establishing genetic tools in pest management.

Indexed as

CRISPR-Casgene drivegenetically edited insectinsect pest managementpopulation replacement

Identifiers

PMID39336621
PMCPMC11432399

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.