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Detection and identification of transgenic events by next generation sequencing combined with enrichment technologies

机译:下一代测序结合富集技术检测和鉴定转基因事件

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摘要

Next generation sequencing (NGS) is a promising tool for analysing the quality and safety of food and feed products. The detection and identification of genetically modified organisms (GMOs) is complex, as the diversity of transgenic events and types of structural elements introduced in plants continue to increase. In this paper, we show how a strategy that combines enrichment technologies with NGS can be used to detect a large panel of structural elements and partially or completely reconstruct the new sequence inserted into the plant genome in a single analysis, even at low GMO percentages. The strategy of enriching sequences of interest makes the approach applicable even to mixed products, which was not possible before due to insufficient coverage of the different genomes present. This approach is also the first step towards a more complete characterisation of agrifood products in a single analysis.
机译:下一代测序(NGS)是用于分析食品和饲料产品的质量和安全性的有前途的工具。转基因生物(GMO)的检测和鉴定非常复杂,因为转基因事件的多样性和植物中引入的结构元素的类型不断增加。在本文中,我们展示了将富集技术与NGS结合使用的策略如何可以用于检测一大堆结构元素,并且即使在低GMO百分比下,也可以在一次分析中部分或完全重建插入植物基因组的新序列。富集目标序列的策略使该方法甚至适用于混合产品,由于存在的不同基因组覆盖不足,以前无法实现。这种方法也是在单一分析中更完整地表征农产品的第一步。

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