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Use of Cellular CRISPR (Clusters of Regularly Interspaced Short Palindromic Repeats) Spacer-Based Microarrays for Detection of Viruses in Environmental Samples

机译:基于细胞CRISPR(定期间隔的短回文重复序列的簇)基于间隔物的微阵列在环境样品中检测病毒的应用

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摘要

It is currently difficult to detect unknown viruses in any given environment. The recent discovery of CRISPR (clusters of regularly interspaced short palindromic repeats) loci within bacterial and archaeal cellular genomes may provide an alternative approach to detect new viruses. It has been shown that the spacer sequences between the direct repeat units of the CRISPR loci are often derived from viruses and likely function as guide sequences to protect the cell from viral infection. The spacer sequences within the CRISPR loci may therefore serve as a record of the viruses that have replicated within the cell. We have cataloged the CRISPR spacer sequences from cellular metagenomic data from high-temperature (>80°C), acidic (pH < 4) hot spring environments located in Yellowstone National Park (YNP). We designed a microarray platform utilizing these CRISPR spacer sequences as potential probes to detect viruses present in YNP hot spring environments. We show that this microarray approach can detect viral sequences directly from virus-enriched environmental samples, detecting new viruses which have not been previously characterized. We further demonstrated that this microarray approach can be used to examine temporal changes in viral populations within the environment. Our results demonstrate that CRISPR spacer sequence-based microarrays will be useful tools for detecting and monitoring viruses from diverse environmental samples.
机译:当前很难在任何给定环境中检测未知病毒。细菌和古细菌细胞基因组中的CRISPR基因座(规则间隔的短回文重复序列簇)的最新发现可能为检测新病毒提供了另一种方法。已经显示,CRISPR基因座的直接重复单元之间的间隔区序列通常来自病毒,并且可能起保护细胞免于病毒感染的指导序列的作用。因此,CRISPR基因座内的间隔区序列可作为已在细胞内复制的病毒的记录。我们已经从位于黄石国家公园(YNP)的高温(> 80°C),酸性(pH <4)温泉环境的细胞宏基因组学数据中分类了CRISPR间隔区序列。我们设计了一个微阵列平台,利用这些CRISPR间隔子序列作为潜在探针来检测YNP温泉环境中存在的病毒。我们表明,这种微阵列方法可以直接从富含病毒的环境样品中检测病毒序列,从而检测出以前没有特征的新病毒。我们进一步证明了这种微阵列方法可用于检查环境中病毒种群的时间变化。我们的结果表明,基于CRISPR间隔子序列的微阵列将是检测和监测来自各种环境样品的病毒的有用工具。

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