利用小RNA文库新一代测序和生物信息学分析发现新型柑橘麻风病毒细胞质2型

A. Roy, J. Shao, J. Hartung, W. Schneider, R. Brlansky
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引用次数: 16

摘要

被称为“下一代”测序(NGS)的创新测序技术的出现,提供了一种在没有先验知识的情况下识别“未知已知”和“未知未知”病毒病原体的新方法。植物病毒的基因组可以快速确定,即使在感染宿主中以极低的滴度发生。该方法基于对RNA沉默宿主防御产生的长度为18-35个核苷酸的小RNA分子群体进行大规模平行测序。化学、生物信息学工具的改进和工程技术的进步降低了NGS的成本,增加了其可及性,并使其在植物病毒学领域的应用成为可能。在这篇综述中,我们讨论了利用Illumina GA IIX平台结合应用分子生物学和生物信息学工具发现一种新的细胞质型柑橘型麻风病毒(CiLV)。这种新病毒产生了CiLV的典型症状,但对先前描述的病毒进行血清学或基于pcr的检测均未检测到。在基因组资源不完整的重要园艺作物甜橙(Citrus sinensis)中也存在低滴度的新病毒基因组。这是园艺研究中常见的情况,并提供了这种方法更广泛应用的一个例子。除了发现新病毒外,序列数据还可用于研究病毒进化和生态学以及病毒与宿主转录组之间的相互作用。
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A Case Study on Discovery of Novel Citrus Leprosis Virus Cytoplasmic Type 2 Utilizing Small RNA Libraries by Next Generation Sequencing and Bioinformatic Analyses
The advent of innovative sequencing technology referred to as “Next-Generation” Sequencing (NGS), provides a new approach to identify the ‘unknown known’ and ‘unknown unknown’ viral pathogens without a priori knowledge. The genomes of plant viruses can be rapidly determined even when occurring at extremely low titers in the infected host. The method is based on massively parallel sequencing of the population of small RNA molecules 18-35 nucleotides in length produced by RNA silencing host defense. Improvements in chemistries, bioinformatic tools and advances in engineering has reduced the costs of NGS, increased its accessibility, and enabled its application in the field of plant virology. In this review, we discuss the utilization of the Illumina GA IIX platform combined with the application of molecular biology and bioinformatic tools for the discovery of a novel cytoplasmic Citrus leprosis virus (CiLV). This new virus produced symptoms typical of CiLV but was not detected with either serological or PCR-based assays for the previously described virus. The new viral genome was also present in low titer in sweet orange (Citrus sinensis), an important horticultural crop with incomplete genomic resources. This is a common situation in horticultural research and provides an example of the broader utility of this approach. In addition to the discovery of novel viruses, the sequence data may be useful for studies of viral evolution and ecology and the interactions between viral and host transcriptomes.
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