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

第一作者： Li, Xiaofei

作者： Li, Xiaofei;Wu, Yuhua;Li, Jun;Li, Yunjing;Wu, Gang;Li, Xiaofei;Wu, Yuhua;Li, Jun;Li, Yunjing;Wu, Gang;Long, Likun;Li, Feiwu

作者机构：

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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