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ViDiT-CACTUS: an inexpensive and versatile library preparation and sequence analysis method for virus discovery and other microbiology applications

机译:Vidit-cactus:病毒发现和其他微生物学应用的廉价和多功能的文库制备和序列分析方法

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摘要

High-throughput sequencing (HTS) technologies are becoming increasingly important within microbiology research, but aspects of library preparation, such as high cost per sample or strict input requirements, make HTS difficult to implement in some niche applications and for research groups on a budget. To answer these necessities, we developed ViDiT, a customizable, PCR-based, extremely low-cost (less than US$5 per sample), and versatile library preparation method, and CACTUS, an analysis pipeline designed to rely on cloud computing power to generate high-quality data from ViDiT-based experiments without the need of expensive servers. We demonstrate here the versatility and utility of these methods within three fields of microbiology: virus discovery, amplicon-based viral genome sequencing, and microbiome profiling. ViDiT-CACTUS allowed the identification of viral fragments from 25 different viral families from 36 oropharyngeal-cloacal swabs collected from wild birds, the sequencing of three almost complete genomes of avian influenza A viruses (90% coverage), and the characterization and functional profiling of the complete microbial diversity (bacteria, archaea, viruses) within a deep-sea carnivorous sponge. ViDiT-CACTUS demonstrated its validity in a wide range of microbiology applications, and its simplicity and modularity make it easily implementable in any molecular biology laboratory, towards various research goals.
机译:高通量测序(HTS)技术在微生物学研究中变得越来越重要,但图书馆准备的各个方面,例如每种样本的高成本或严格的输入要求,使HTS难以在一些利基应用中实施和预算的研究组。为了回答这些必需品,我们开发了VIDIT,可定制的,基于PCR的极低成本(每种样本的5美元),并且多功能图书馆准备方法和仙人掌,旨在依赖云计算能力来产生的分析管道基于VIDIT的实验的高质量数据,无需昂贵的服务器。我们在这里证明了这些方法在微生物学的三个领域中的多功能性和效用:病毒发现,基于扩增子的病毒基因组测序和微生物组分析。 Vidit-cactus允许鉴定从野生鸟类收集的36个口咽 - 核酸拭子的25种不同病毒族的病毒片段,三个几乎完全基因组的测序禽流感的病毒(& 90%覆盖率),以及表征和功能在深海肉食海绵中的完整微生物多样性(细菌,古痤疮,病毒)的分析。 Vidit-Cactus在各种微生物学应用中展示了其有效性,其简单性和模块化使其在任何分子生物学实验室都可以实现各种研究目标。

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