A Rapid Field-Visualization Detection Platform for Genetically Modified Soybean ‘Zhonghuang 6106’ Based on RPA-CRISPR

Genetically modified (GM) herbicide-tolerant soybean 'Zhonghuang 6106', which introduces a glyphosate-resistant gene, ensures soybean yield while allowing farmers to reduce the use of other herbicides, thereby reducing weed management costs. To protect consumer rights and facilitate government supervision, we have established a simple and rapid on-site nucleic acid detection method for GM soybean 'Zhonghuang 6106'. This method leverages the isothermal amplification characteristics of RPA technology and the high specificity of CRISPR-Cas12a to achieve high sensitivity and accuracy in detecting GM soybean components. By optimizing experimental conditions, the platform can quickly produce visual detection results, significantly reducing detection time and improving efficiency. The system can detect down to 10 copies/μL of 'Zhonghuang 6106' DNA templates, and the entire detection process takes about 1 h. The technology also has strong editing capabilities; by redesigning the primers and crRNA in the method, it can become a specific detection method for other GM samples, providing strong technical support for the regulation and safety evaluation of GM crops.

Authors

Institutions

Publication Details

Journal
International Journal of Molecular Sciences
Published
2024-12-26
DOI
https://doi.org/10.3390/ijms26010108
Citations
1
Primary Topic
CRISPR and Genetic Engineering
Type
article
Field-Weighted Citation Impact
0.23
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Rapid Field-Visualization Detection Platform for Genetically Modified Soybean ‘Zhonghuang 6106’ Based on RPA-CRISPR

Yusong Wan, Wujun Jin, Chaohua Miao, Lixia Meng et al.
1 citations
International Journal of Molecular Sciences
CRISPR and Genetic Engineering
0.23
article

A Rapid Field-Visualization Detection Platform for Genetically Modified Soybean ‘Zhonghuang 6106’ Based on RPA-CRISPR

Yusong Wan, Wujun Jin, Chaohua Miao, Lixia Meng, Ran Tao, Weixiao Liu, Jihong Zhang, Jin Gao
article en
1 citations

Abstract

Genetically modified (GM) herbicide-tolerant soybean 'Zhonghuang 6106', which introduces a glyphosate-resistant gene, ensures soybean yield while allowing farmers to reduce the use of other herbicides, thereby reducing weed management costs. To protect consumer rights and facilitate government supervision, we have established a simple and rapid on-site nucleic acid detection method for GM soybean 'Zhonghuang 6106'. This method leverages the isothermal amplification characteristics of RPA technology and the high specificity of CRISPR-Cas12a to achieve high sensitivity and accuracy in detecting GM soybean components. By optimizing experimental conditions, the platform can quickly produce visual detection results, significantly reducing detection time and improving efficiency. The system can detect down to 10 copies/μL of 'Zhonghuang 6106' DNA templates, and the entire detection process takes about 1 h. The technology also has strong editing capabilities; by redesigning the primers and crRNA in the method, it can become a specific detection method for other GM samples, providing strong technical support for the regulation and safety evaluation of GM crops.

International Journal of Molecular SciencesVol. 26(1)
Chinese Academy of Agricultural Sciences (CN), Ministry of Agriculture and Rural Affairs (CN), Biotechnology Research Institute (CN)
Openalex Percentile: Top 40%
CRISPR and Genetic Engineering
0.23
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.