Author
Listed:
- Hongmei Yi
(Beijing Key Laboratory of Maize DNA Fingerprinting and Molecular Breeding, Maize Research Center, Beijing Academy of Agricultural and Forest Sciences (BAAFS), Beijing 100089, China
These authors contributed equally to this work.)
- Ziyue Liang
(Beijing Key Laboratory of Maize DNA Fingerprinting and Molecular Breeding, Maize Research Center, Beijing Academy of Agricultural and Forest Sciences (BAAFS), Beijing 100089, China
These authors contributed equally to this work.)
- Jianrong Ge
(Beijing Key Laboratory of Maize DNA Fingerprinting and Molecular Breeding, Maize Research Center, Beijing Academy of Agricultural and Forest Sciences (BAAFS), Beijing 100089, China
These authors contributed equally to this work.)
- Haibo Zhang
(Shaanxi Seed Administration Bureau, Xi’an 710018, China)
- Fengze Liu
(National Agricultural Technology Extension and Service Center, Beijing 100026, China)
- Xuezhen Ren
(National Agricultural Technology Extension and Service Center, Beijing 100026, China)
- Jie Ren
(Beijing Key Laboratory of Maize DNA Fingerprinting and Molecular Breeding, Maize Research Center, Beijing Academy of Agricultural and Forest Sciences (BAAFS), Beijing 100089, China)
- Haijie Wang
(Beijing Key Laboratory of Maize DNA Fingerprinting and Molecular Breeding, Maize Research Center, Beijing Academy of Agricultural and Forest Sciences (BAAFS), Beijing 100089, China)
- Jiali Ren
(Beijing Key Laboratory of Maize DNA Fingerprinting and Molecular Breeding, Maize Research Center, Beijing Academy of Agricultural and Forest Sciences (BAAFS), Beijing 100089, China)
- Xingxu Ren
(Beijing Key Laboratory of Maize DNA Fingerprinting and Molecular Breeding, Maize Research Center, Beijing Academy of Agricultural and Forest Sciences (BAAFS), Beijing 100089, China)
- Ying Zhang
(Shaanxi Seed Administration Bureau, Xi’an 710018, China)
- Fang Jin
(National Agricultural Technology Extension and Service Center, Beijing 100026, China)
- Shiqiao Jin
(National Agricultural Technology Extension and Service Center, Beijing 100026, China)
- Yikun Zhao
(Beijing Key Laboratory of Maize DNA Fingerprinting and Molecular Breeding, Maize Research Center, Beijing Academy of Agricultural and Forest Sciences (BAAFS), Beijing 100089, China)
- Fengge Wang
(Beijing Key Laboratory of Maize DNA Fingerprinting and Molecular Breeding, Maize Research Center, Beijing Academy of Agricultural and Forest Sciences (BAAFS), Beijing 100089, China)
Abstract
The detection of genetically modified (GM) maize events is an inevitable necessity under the strict regulatory systems of many countries. To screen for GM maize events, we developed a multiplex PCR system to specifically detect 29 GM maize events as well as the cauliflower mosaic virus 35S promoter, the Agrobacterium tumefaciens nos terminator, the Streptomyces viridochromogenes pat gene, and the endogenous zSSIIb maize reference gene. These targets were divided into five panels for screening and event-specific detection by multiplex (10-plex, 7-plex, 7-plex, 4-plex, and 5-plex) PCR. All amplification products were separated and visualized by fluorescence capillary electrophoresis (CE). By taking advantage of the high resolution, multiple fluorescence detection, and high sensitivity of CE, our system was able to identify all targets simultaneously with a limit of detection of 0.1%. The accurate identification of specific amplification peaks from different GM maize materials by CE confirmed the specificity of the system. To verify the practical applicability of this system, we analyzed 20 blind samples. We successfully identified five MON810, four TC1507, and three MIR162 samples. The detection of concomitant elements also verified the accuracy of this approach. Our system can, therefore, be used for the screening and detection of GM maize events. The system, which is easy to use, facilitates high-throughput detection with the help of a high-throughput platform and automated identification software. Multiplex PCR coupled with CE is, thus, very suitable for the detection of genetically modified organisms (GMOs) with a large number of detection targets. Additional multiplexed electrophoretic targets can be easily incorporated as well, thereby increasing the usefulness of this system as the number of GMO events continues to increase.
Suggested Citation
Hongmei Yi & Ziyue Liang & Jianrong Ge & Haibo Zhang & Fengze Liu & Xuezhen Ren & Jie Ren & Haijie Wang & Jiali Ren & Xingxu Ren & Ying Zhang & Fang Jin & Shiqiao Jin & Yikun Zhao & Fengge Wang, 2022.
"A Multiplex PCR System for the Screening of Genetically Modified (GM) Maize and the Detection of 29 GM Maize Events Based on Capillary Electrophoresis,"
Agriculture, MDPI, vol. 12(3), pages 1-10, March.
Handle:
RePEc:gam:jagris:v:12:y:2022:i:3:p:413-:d:771604
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jagris:v:12:y:2022:i:3:p:413-:d:771604. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.