4.4 Article

Evaluation of convenient pretreatment protocols for RNA virus metagenomics in serum and tissue samples

期刊

JOURNAL OF VIROLOGICAL METHODS
卷 222, 期 -, 页码 72-80

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.jviromet.2015.05.010

关键词

RNA virus discovery; Clinical samples; Viral metagenomics; Pretreatment; Next generation sequencing; rRNA depletion

资金

  1. Veterinary and Agrochemical Research Center
  2. European Union FP7 project RAPIDIA-FIELD [FP7-289364]
  3. Epi-SEQ: a transnational research project under the 2nd joint call for transnational research projects by EMIDA ERA-NET (FP7 project) [219235]
  4. Biotechnology and Biological Sciences Research Council [BB/K004492/1] Funding Source: researchfish
  5. BBSRC [BB/K004492/1] Funding Source: UKRI

向作者/读者索取更多资源

Viral metagenomic approaches are increasingly being used for viral discovery. Various strategies are applied to enrich viral sequences, but there is often a lack of knowledge about their effective influence on the viral discovery sensitivity. We evaluate some convenient and widely used approaches for RNA virus discovery in clinical samples in order to reveal their sensitivity and potential bias introduced by the enrichment or amplifications steps. An RNA virus was artificially spiked at a fixed titer in serum and lung tissue, respectively, low and high nucleic acid content matrices. For serum, a simple DNase treatment on the RNA extract gave the maximum gain in proportion of viral sequences (83 x), and a subsequent ribosomal RNA removal nearly doubled once more the proportion of viral sequences. For lung tissue, a ribosomal RNA depletion step on the RNA extract had the biggest gain in proportion of viral sequences (32 x). We show also that direct sequencing of cDNA is recommended above an extra random PCR amplification step, and a that the virion enrichment strategy (filtration and nuclease treatment) has a beneficial effect for sequencing-based virus discovery. Our findings provide sample-dependent guidelines for targeted virus discovery strategies. (C) 2015 Elsevier B.V. All rights reserved.

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