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一种基于逆转录/核糖核酸酶 H 的方法可用于去除蚊子核糖体 RNA,从而有助于病毒在宿主内的进化分析、转录组学和病原体发现。

A reverse-transcription/RNase H based protocol for depletion of mosquito ribosomal RNA facilitates viral intrahost evolution analysis, transcriptomics and pathogen discovery.

机构信息

Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO 80523, USA.

Department of Biomedical Sciences and Pathobiology, Virginia Polytechnic Institute and State University, 360 W Campus Drive, Blacksburg, VA, USA.

出版信息

Virology. 2019 Feb;528:181-197. doi: 10.1016/j.virol.2018.12.020. Epub 2018 Dec 30.

Abstract

Identifying novel viruses or assessing viral variation by NGS requires high sequencing coverage. More than 90% of total RNA is ribosomal (rRNA), making variant calling, virus discovery or transcriptomic profiling difficult. Current methods to increase informative reads suffer from drawbacks, either they cannot be used for some viruses, are optimized for a single species, or introduce bias. We describe a two-part approach combining reverse-transcription to create RNA/DNA hybrids which are then degraded with RNaseH/DNase sequentially that works for three medically relevant mosquito genera; Aedes, Anopheles, and Culex. We demonstrate depletion of rRNA from different samples, including whole mosquitoes and midgut contents from FTA cards. We describe novel insect-specific virus genomes from field collected mosquitoes. The protocol requires only common laboratory reagents and small oligonucleotides specific to rRNA. This approach can be adapted for other organisms, aiding virus diversity analyses, virus discovery and transcriptomics in both laboratory and field samples.

摘要

通过 NGS 识别新病毒或评估病毒变异需要高测序覆盖率。超过 90%的总 RNA 是核糖体 (rRNA),这使得变异调用、病毒发现或转录组分析变得困难。目前增加信息性读数的方法存在缺陷,要么不能用于某些病毒,要么针对单一物种进行优化,要么引入偏差。我们描述了一种两步法,结合逆转录来创建 RNA/DNA 杂交体,然后用 RNaseH/DNase 依次降解,该方法适用于三种医学相关的蚊子属;伊蚊属、按蚊属和库蚊属。我们从不同的样本中证明了 rRNA 的耗竭,包括来自 FTA 卡的整只蚊子和中肠内容物。我们从野外采集的蚊子中描述了新的昆虫特异性病毒基因组。该方案仅需要常见的实验室试剂和针对 rRNA 的小寡核苷酸。该方法可以适应其他生物体,有助于实验室和野外样本中的病毒多样性分析、病毒发现和转录组学。

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