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利用二代测序(NGS)数据对转基因生物(GMO)基因组进行结构表征的技术综述。

Review of the technology used for structural characterization of the GMO genome using NGS data.

作者信息

Moon Kahee, Basnet Prakash, Um Taeyoung, Choi Ik-Young

机构信息

Department of Agriculture and Life Industry, Kangwon National University, Chuncheon, South Korea.

Department of Smart Farm and Agricultural Industry, Kangwon National University, Chuncheon, South Korea.

出版信息

Genomics Inform. 2024 Oct 2;22(1):14. doi: 10.1186/s44342-024-00016-1.

Abstract

The molecular characterization of genetically modified organisms (GMOs) is essential for ensuring safety and gaining regulatory approval for commercialization. According to CODEX standards, this characterization involves evaluating the presence of introduced genes, insertion sites, copy number, and nucleotide sequence structure. Advances in technology have led to the increased use of next-generation sequencing (NGS) over traditional methods such as Southern blotting. While both methods provide high reproducibility and accuracy, Southern blotting is labor-intensive and time-consuming due to the need for repetitive probe design and analyses for each target, resulting in low throughput. Conversely, NGS facilitates rapid and comprehensive analysis by mapping whole-genome sequencing (WGS) data to plasmid sequences, accurately identifying T-DNA insertion sites and flanking regions. This advantage allows for efficient detection of T-DNA presence, copy number, and unintended gene insertions without additional probe work. This paper reviews the current status of GMO genome characterization using NGS and proposes more efficient strategies for this purpose.

摘要

转基因生物(GMOs)的分子特征分析对于确保安全性和获得商业化监管批准至关重要。根据食品法典标准,这种特征分析包括评估导入基因的存在、插入位点、拷贝数和核苷酸序列结构。技术的进步导致下一代测序(NGS)比传统方法(如Southern印迹法)的使用增加。虽然这两种方法都具有高重现性和准确性,但由于需要针对每个靶标进行重复的探针设计和分析,Southern印迹法劳动强度大且耗时,导致通量较低。相反,NGS通过将全基因组测序(WGS)数据映射到质粒序列,促进快速全面的分析,准确识别T-DNA插入位点和侧翼区域。这一优势使得无需额外的探针工作就能高效检测T-DNA的存在、拷贝数和意外基因插入。本文综述了使用NGS进行转基因生物基因组特征分析的现状,并为此提出了更有效的策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f5bc/11445869/77cbdcc43e93/44342_2024_16_Fig1_HTML.jpg

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