Evidence map›Paper›PMID 39887845›Full record

ArticlePest management science2025

Target gene selection for sprayable dsRNA-based biopesticide against Tetranychus urticae Koch (Acari: Tetranychidae).

Yifei Wang, Yuanpeng Duan, Meibin Liu, Meifeng Ren, Yue Gao, Zhongfang Liu, Pengjiu Zhang, Lifei He, Renjun Fan, Xuguo Zhou and 1 more

Abstract read
In one paragraph

Article in Pest management science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

11 authors.

Yifei Wang *Shanxi Key Laboratory of Integrated Pest Management in Agriculture, College of Plant Protection, Shanxi Agricultural University, Taiyuan, China.
Yuanpeng Duan *Shanxi Key Laboratory of Integrated Pest Management in Agriculture, College of Plant Protection, Shanxi Agricultural University, Taiyuan, China.
Meibin LiuShanxi Key Laboratory of Integrated Pest Management in Agriculture, College of Plant Protection, Shanxi Agricultural University, Taiyuan, China.
Meifeng RenShanxi Key Laboratory of Integrated Pest Management in Agriculture, College of Plant Protection, Shanxi Agricultural University, Taiyuan, China.
Yue GaoShanxi Key Laboratory of Integrated Pest Management in Agriculture, College of Plant Protection, Shanxi Agricultural University, Taiyuan, China.
Zhongfang LiuShanxi Key Laboratory of Integrated Pest Management in Agriculture, College of Plant Protection, Shanxi Agricultural University, Taiyuan, China.ORCID https://orcid.org/0000-0003-0456-3620
Pengjiu ZhangShanxi Key Laboratory of Integrated Pest Management in Agriculture, College of Plant Protection, Shanxi Agricultural University, Taiyuan, China.
Lifei HeShanxi Key Laboratory of Integrated Pest Management in Agriculture, College of Plant Protection, Shanxi Agricultural University, Taiyuan, China.
Renjun FanShanxi Key Laboratory of Integrated Pest Management in Agriculture, College of Plant Protection, Shanxi Agricultural University, Taiyuan, China.
Xuguo ZhouDepartment of Entomology, School of Integrative Biology, College of Liberal Arts & Sciences, University of Illinois Urbana-Champaign, Urbana, IL, USA.ORCID https://orcid.org/0000-0003-1123-8754
Jing YangShanxi Key Laboratory of Integrated Pest Management in Agriculture, College of Plant Protection, Shanxi Agricultural University, Taiyuan, China.

Funding

Excellent PhD Scientific Research Startup Project 2023BQ123National Natural Science Foundation of China 32102224Scientific Research and Cultivation Innovation Project of College of Plant Protection, Shanxi Agricultural University ZBXY23A-12Shanxi Scholarships for Science and Technology Activities for Overseas Students 20230019The Earmarked Fund for Modern Agro-Industry Technology Research System 2024CYJSTX07-17
6 · The paper itself

Abstract

backgroundBecause of the excessive use of synthetic chemicals, the two-spotted spider mite, Tetranychus urticae Koch, a highly polyphagous pest, has developed comprehensive resistance to a broad spectrum of pesticides with diverse modes of action, raising severe concerns over agroecosystems and human health. To resolve this emerging issue, we initiated a project to develop double-stranded RNA (dsRNA)-based biopesticides against T. urticae, aiming for a species-specific and sustainable pest management alternative.

resultsTo examine the uptake of dsRNAs using the egg-soaking delivery method, we fluorescently labeled extraneous dsRNAs, and later showed that T. urticae dsRNAs can permeate through eggshell in a time-dependent manner within the first 24 h. For target gene screening, silencing of Prosbeta-1 and -5 resulted in the highest mortality (>90%) and a dark body phenotype in T. urticae. Notably, each target gene was effective in both avermectin laboratory susceptible and field resistant populations. As such, Prosbeta-5 was selected as the candidate target gene for subsequent spray-induced gene silencing (SIGS). After two rounds of spray at day 5 and day 12, SIGS led to a substantial suppression of T. urticae populations (>90%).

conclusionOur combined results suggest viable molecular targets, confirm the feasibility of SIGS against T. urticae, and lay the foundation for the development of dsRNA-based biopesticides to control this devastating pest. © 2025 The Author(s). Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

Indexed as

AcaricidesBiological Control AgentsPest Control, BiologicalRNA, Double-StrandedTetranychidaeAnimalsGene SilencingAcaricidesBiological Control AgentsRNA, Double-StrandeddsRNA‐based biopesticidesegg‐soaking methodmolecular targetspray‐induced gene silencingTetranychus urticae

Identifiers

PMID39887845
PMCPMC12074632

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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.