Development and Validation of A 48-Target Analytical Method for High-throughput Monitoring of Genetically Modified Organisms
文献类型： 外文期刊
作者： Li, Xiaofei 1 ; Wu, Yuhua 1 ; Li, Jun 1 ; Li, Yunjing 1 ; Long, Likun 3 ; Li, Feiwu; Wu, Gang 1 ;
作者机构： 1.Chinese Acad Agr Sci, Oil Crops Res Inst, Key Lab Oil Crop Biol, Minist Agr, Wuhan 430062, Peoples R China
2.Minist Agr, Supervis & Test Ctr Wuhan Environm Safety Genet M, Wuhan 430062, Peoples R China
3.Jilin Acad Agr
期刊名称：SCIENTIFIC REPORTS （ 影响因子：4.379； 五年影响因子：5.133 ）
ISSN： 2045-2322
年卷期： 2015 年 5 卷
页码：
收录情况： SCI
摘要： The rapid increase in the number of genetically modified (GM) varieties has led to a demand for high-throughput methods to detect genetically modified organisms (GMOs). We describe a new dynamic array-based high throughput method to simultaneously detect 48 targets in 48 samples on a Fludigm system. The test targets included species-specific genes, common screening elements, most of the Chinese-approved GM events, and several unapproved events. The 48 TaqMan assays successfully amplified products from both single-event samples and complex samples with a GMO DNA amount of 0.05 ng, and displayed high specificity. To improve the sensitivity of detection, a preamplification step for 48 pooled targets was added to enrich the amount of template before performing dynamic chip assays. This dynamic chip-based method allowed the synchronous high-throughput detection of multiple targets in multiple samples. Thus, it represents an efficient, qualitative method for GMO multi-detection.
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