中文摘要：转基因作物被开发以改善现代作物品种的农艺性状。在转基因作物开发和进入市场前对转基因作物进行安全评估至关重要。DNA测序技术因具有更高的输出量和效率正在迅速发展，并将最终取代现有的转基因生物分子特性分析方法。本文利用转基因水稻植株SNU-Bt9-5、SNU-Bt9-30和SNU-Bt9-109研发了一个基于下一代测序（NGS）的分子生物学方法。研究发现，下一代测序（NGS）是在基因组中检测转基因插入位置的有效手段。研究结果表明，将NGS技术与生物信息学相结合可作为转基因植物安全性评价的省时且有效的方法。
外文摘要：Background: Genetically modified crops (GM crops) have been developed to improve the agricultural traits of modern crop cultivars. Safety assessments of GM crops are of paramount importance in research at developmental stages and before releasing transgenic plants into the marketplace. Sequencing technology is developing rapidly, with higher output and labor efficiencies, and will eventually replace existing methods for the molecular characterization of genetically modified organisms. Methods: To detect the transgenic insertion locations in the three GM rice gnomes, Illumina sequencing reads are mapped and classified to the rice genome and plasmid sequence. The both mapped reads are classified to characterize the junction site between plant and transgene sequence by sequence alignment. Results: Herein, we present a next generation sequencing (NGS)-based molecular characterization method, using transgenic rice plants SNU-Bt9-5, SNU-Bt9-30, and SNU-Bt9-109. Specifically, using bioinformatics tools, we detected the precise insertion locations and copy numbers of transfer DNA, genetic rearrangements, and the absence of backbone sequences, which were equivalent to results obtained from Southern blot analyses. Conclusion: NGS methods have been suggested as an effective means of characterizing and detecting transgenic insertion locations in genomes. Our results demonstrate the use of a combination of NGS technology and bioinformatics approaches that offers cost-and time-effective methods for assessing the safety of transgenic plants.
外文关键词：Genetically modified organism (GMO); GM rice; Next-generation sequencing (NGS); Molecular characterization; GM safety; Bioinformatics
作者：Park, Doori; Park, Su-Hyun; Ban, Yong Wook; 等
作者单位：Kangwon Natl Univ
期刊名称：BMC BIOTECHNOLOGY
期刊影响因子：2.415
出版年份：2017
出版刊次：8
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