文献类型： 外文期刊
作者： Yuan, Rong 1 ; Wang, Miao 1 ; Li, Zhen 2 ; Hong, Meiyan 1 ; Su, Li 3 ; Wu, Gang 1 ; Zeng, Xinhua 1 ;
作者机构： 1.Chinese Acad Agr Sci, Minist Agr, Oil Crops Res Inst, Key Lab Biol & Genet Improvement Oil Crops, Wuhan 430062, Peoples R China
2.Jinhua Univ Vocat Technol, Coll Agr, Jinhua 321007, Peoples R China
3.Huazhong Univ Sci & Technol, Coll Life Sci & Technol, Wuhan 430074, Peoples R China
关键词： Detection of transgenic rapeseed; Pollen; Honeybee
期刊名称：TRANSGENIC RESEARCH （ 影响因子：2.0； 五年影响因子：2.3 ）
ISSN： 0962-8819
年卷期： 2025 年 34 卷 1 期
页码：
收录情况： SCI
摘要： With the continuous expansion of the planting area of genetically modified (GM) crops, the demand for efficient and comprehensive monitoring systems is becoming increasingly urgent. To establish a method suitable for large-scale monitoring of genetically modified rapeseed planting, beehives were strategically deployed at specific locations around genetically modified rapeseed fields, and the TaqMan quantitative PCR (qPCR) method was used to detect and analyze the genetically modified components in the rapeseed pollen collected by bees. The results demonstrated that the average Ct values for the CaMV35S promoter, Bar gene, NPTII gene, and HPT gene in the pollen of each hive were 27.91, 29.58, 31.49, and 31.97, respectively. The average Delta Ct values for these four genes in hive pollen from 100 to 200 m were - 0.35, 1.66, 2.58, and 5.06, respectively, which were significantly lower than those from 300 to 1100 m (2.85, 4.01, 6.66, and 5.63). The results of this study have demonstrated the feasibility of using pollen collected by bees for large-scale detection of genetically modified rapeseed plants. This early warning model for GM crop spread based on bee pollination provides an efficient and practical solution for monitoring and managing genetically modified crops.
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