Evidence map›Paper›PMID 40186689›Full record

ArticleTransgenic research2025

A method for detecting transgenic rapeseed using pollen collected by Apis mellifera L.

Rong Yuan, Miao Wang, Zhen Li, Meiyan Hong, Li Su, Gang Wu, Xinhua Zeng

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Article in Transgenic research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Rong YuanOil Crops Research Institute of the Chinese Academy of Agricultural Sciences/Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Wuhan, 430062, China.
Miao WangOil Crops Research Institute of the Chinese Academy of Agricultural Sciences/Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Wuhan, 430062, China.
Zhen LiCollege of Agriculture, Jinhua University of Vocational Technology, Jinhua, 321007, China.
Meiyan HongOil Crops Research Institute of the Chinese Academy of Agricultural Sciences/Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Wuhan, 430062, China.
Li SuHuazhong University of Science and Technology, College of Life Science and Technology, Wuhan, 430074, China.
Gang WuOil Crops Research Institute of the Chinese Academy of Agricultural Sciences/Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Wuhan, 430062, China.
Xinhua ZengOil Crops Research Institute of the Chinese Academy of Agricultural Sciences/Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Wuhan, 430062, China. zengxinhua@caas.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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 ΔCt 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.

Indexed as

Brassica napusBrassica rapaPlants, Genetically ModifiedPollenAnimalsBeesCrops, AgriculturalDetection of transgenic rapeseedHoneybeePollen

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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.