Evidence map›Paper›PMID 39084403›Full record

ArticleJournal of advanced research2025

Development of a novel Cas13a/Cas12a-mediated 'one-pot' dual detection assay for genetically modified crops.

Lin Ding, Xiaofu Wang, Xiaoyun Chen, Xiaoli Xu, Wei Wei, Lei Yang, Yi Ji, Jian Wu, Junfeng Xu, Cheng Peng

Abstract read
In one paragraph

Article in Journal of advanced research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

10 authors.

Lin DingState Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Key Laboratory of Traceability for Agricultural Genetically Modified Organisms, Ministry of Agriculture and Rural Affairs, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.
Xiaofu WangState Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Key Laboratory of Traceability for Agricultural Genetically Modified Organisms, Ministry of Agriculture and Rural Affairs, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.
Xiaoyun ChenState Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Key Laboratory of Traceability for Agricultural Genetically Modified Organisms, Ministry of Agriculture and Rural Affairs, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.
Xiaoli XuState Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Key Laboratory of Traceability for Agricultural Genetically Modified Organisms, Ministry of Agriculture and Rural Affairs, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.
Wei WeiState Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Key Laboratory of Traceability for Agricultural Genetically Modified Organisms, Ministry of Agriculture and Rural Affairs, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.
Lei YangState Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Key Laboratory of Traceability for Agricultural Genetically Modified Organisms, Ministry of Agriculture and Rural Affairs, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.
Yi JiState Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Key Laboratory of Traceability for Agricultural Genetically Modified Organisms, Ministry of Agriculture and Rural Affairs, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.
Jian WuCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China.
Junfeng XuState Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Key Laboratory of Traceability for Agricultural Genetically Modified Organisms, Ministry of Agriculture and Rural Affairs, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China. Electronic address: njjfxu@163.com.
Cheng PengState Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Key Laboratory of Traceability for Agricultural Genetically Modified Organisms, Ministry of Agriculture and Rural Affairs, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China. Electronic address: pc_phm@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionGenetically modified (GM) crops have been widely cultivated across the world and the development of rapid, ultrasensitive, visual multiplex detection platforms that are suitable for field deployment is critical for GM organism regulation.

objectiveIn this study, we developed a novel one-pot system, termed MR-DCA (Multiplex RPA and Dual CRISPR assay), for the simultaneous detection of CaMV35S and NOS genetic targets in GM crops. This innovative approach combined Multiplex RPA (recombinase polymerase amplification) with the Dual CRISPR (clustered regularly interspaced short palindromic repeat) assay technique, to provide a streamlined and efficient method for GM crop detection.

methodsThe RPA reaction used for amplification CaMV35S and NOS targets was contained in the tube base, while the dual CRISPR enzymes were placed in the tube cap. Following centrifugation, the dual CRISPR (Cas13a/Cas12a) detection system was initiated. Fluorescence visualization was used to measure CaMV35S through the FAM channel and NOS through the HEX channel. When using lateral flow strips, CaMV35S was detected using rabbit anti-digoxin (blue line), whilst NOS was identified using anti-mouse FITC (red line). Line intensity was quantified using Image J and depicted graphically.

resultsDetection of the targets was completed in 35 min, with a limit of detection as low as 20 copies. In addition, two analysis systems were developed and they performed well in the MR-DCA assay. In an analysis of 24 blind samples from GM crops with a wide genomic range, MR-DCA gave consistent results with the quantitative PCR method, which indicated high accuracy, applicability and semi-quantitative ability.

conclusionThe development of MR-DCA represents a significant advancement in the field of GM detection, offering a rapid, sensitive and portable method for multiple target detection that can be used in resource-limited environments.

Indexed as

CRISPR-Associated ProteinsCRISPR-Cas SystemsCrops, AgriculturalPlants, Genetically ModifiedAmino Acid OxidoreductasesAnimalsBacterial ProteinsEndodeoxyribonucleasesNucleic Acid Amplification TechniquesAmino Acid OxidoreductasesBacterial ProteinsCas12a proteinCRISPR-Associated ProteinsEndodeoxyribonucleasesnopaline synthaseDual CRISPRGenetically Modified (GM) detectionMultiplexed lateral flow stripsOne-pot reactionRecombinase polymerase amplification (RPA)

Identifiers

PMID39084403
PMCPMC12147640

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Registered trials

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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.