CTREP-finder:一个用于快速识别和可视化清洁转基因和基因组编辑植物的web服务

San-Ling Wu , Yuan-Yuan Tan , Yang Zhao , Long-Jiang Fan , Qi-Kang Gao , Angharad M.R. Gatehouse , Qing-Yao Shu
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引用次数: 1

摘要

要在今后30年内养活100亿人,将在很大程度上依赖于利用生物技术,特别是基因转化和基因组编辑技术开发的高产、安全的新型生物技术作物品种。一个干净的转基因植物(CTP)只含有定义的转基因,而一个干净的编辑植物(CEP)是无转基因的。目前,由于转移DNA (T-DNA)或质粒骨干整合的复杂性,鉴定和定位植物基因组中的转基因既困难又耗时,这是大规模生产清洁转基因/编辑植物(CTREPs)的主要障碍。在这里,我们建立了一个基于网络的门户网站,CTREP-finder,用于快速检测,表征和可视化植物中的外源DNA片段,基于下一代全基因组测序数据。我们发明了一种新的生物信息学策略来处理转基因整合的三种情况,并通过测试132个样本成功地鉴定出CTREPs。此外,我们将CTREP-finder与三个公共程序(FED, transgeneR和tdna can)进行了比较,结果表明CTREP-finder在转基因整合定位方面优于这些程序。使用CTREP-finder对生物信息学专业知识的要求很少。因此,它是一个用户友好的基于web的门户网站,可用于植物育种和监管机构快速选择/检测CTREPs用于作物育种和生产。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CTREP-finder: A web service for quick identification and visualization of clean transgenic and genome-edited plants

To feed 10 billion people in 30 years from now will heavily depend on new higher yield, yet safe, biotech crop varieties, which are developed using biotechnologies, particularly genetic transformation and genome editing. A clean transgenic plant (CTP) contains only the defined transgene, whilst a clean edited plant (CEP) is transgene-free. Currently, it is difficult and time-consuming to identify and locate transgenes within plant genomes due to the complex nature of transfer DNA (T-DNA) or plasmid backbone integration, which has led to a major obstacle in mass scale production of clean transgenic/edited plants (CTREPs). Here we have built a web-based portal, CTREP-finder, for fast detection, characterization and visualization of foreign DNA fragments in plants, based on next-generation whole genome sequencing data. We invented a novel bioinformatics strategy to handle three scenarios of transgene integration and successfully identified CTREPs by testing 132 samples. Furthermore, we compared the CTREP-finder with three public programs, FED, transgeneR and TDNAscan, and it showed that the CTREP-finder outperforms those programs particularly on the localization of transgene integration. The use of CTREP-finder needs little requirement for bioinformatics expertise. Therefore, it is a user-friendly web-based portal that could be used by plant breeders and regulatory agencies for the rapid selection/detection of CTREPs for crop breeding and production.

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