Establishment of an ELISA Method for Quantitative Detection of PAT/pat in GM Crops
Weixiao Liu (),
Lixia Meng,
Xuri Liu,
Chao Liu and
Wujun Jin ()
Additional contact information
Weixiao Liu: Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China
Lixia Meng: Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China
Xuri Liu: Department of Food and Biological Engineering, Handan Polytechnic College, Handan 056001, China
Chao Liu: State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
Wujun Jin: Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China
Agriculture, 2022, vol. 12, issue 9, 1-11
Abstract:
The phosphinothricin N-acetyltransferase gene ( pat ) is widely used to confer resistance to the herbicide phosphinothricin for genetically modified (GM) crops. A quantitative sandwich enzyme-linked immunosorbent assay (ELISA) is developed to detect PAT/pat in GM crops. Two anti-PAT/pat monoclonal antibodies (mAbs), 1F5-1F2 and 1B6-2D3, with titers of 1:1,024,000 and 1:896,000, respectively, against overexpressed His-PAT/pat, were screened out, raised, and characterized. An ELISA method was established with the 1F5-2F2 mAb for capture and the biotin-labeled 1B6-2D3 mAb for detection of PAT/pat. The linear detection range of the method was approximately 1.5625–12.5 ng/mL, with a sensitivity of 0.085 ng/mL and a coefficient of variation (CV) less than 5.0%. No cross-reactivity was found with other herbicide resistance proteins, especially PAT/bar. The established sensitive and specific ELISA was successfully applied in the detection of PAT/pat expression in GM crops.
Keywords: PAT/pat; quantitative detection; monoclonal antibody; ELISA; genetically modified crops (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/2077-0472/12/9/1400/pdf (application/pdf)
https://www.mdpi.com/2077-0472/12/9/1400/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jagris:v:12:y:2022:i:9:p:1400-:d:907252
Access Statistics for this article
Agriculture is currently edited by Ms. Leda Xuan
More articles in Agriculture from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().