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Complete viral RNA genome sequencing of ultra-low copy samples by sequence-independent amplification
Author(s) -
Christine M. Malboeuf,
Xiao Yang,
Patrick Charlebois,
James Qu,
Aaron M. Berlin,
Massimiliano Casali,
Kendra Pesko,
Christian L. Boutwell,
John P. DeVincenzo,
Gregory D. Ebel,
Todd M. Allen,
Michael C. Zody,
Matthew R. Henn,
Joshua Z. Levin
Publication year - 2012
Publication title -
nucleic acids research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.008
H-Index - 537
eISSN - 1362-4954
pISSN - 0305-1048
DOI - 10.1093/nar/gks794
Subject(s) - biology , virology , rna , genome , whole genome sequencing , viral evolution , dna sequencing , genetics , virus , sequence analysis , computational biology , gene
RNA viruses are the causative agents for AIDS, influenza, SARS, and other serious health threats. Development of rapid and broadly applicable methods for complete viral genome sequencing is highly desirable to fully understand all aspects of these infectious agents as well as for surveillance of viral pandemic threats and emerging pathogens. However, traditional viral detection methods rely on prior sequence or antigen knowledge. In this study, we describe sequence-independent amplification for samples containing ultra-low amounts of viral RNA coupled with Illumina sequencing and de novo assembly optimized for viral genomes. With 5 million reads, we capture 96 to 100% of the viral protein coding region of HIV, respiratory syncytial and West Nile viral samples from as little as 100 copies of viral RNA. The methods presented here are scalable to large numbers of samples and capable of generating full or near full length viral genomes from clone and clinical samples with low amounts of viral RNA, without prior sequence information and in the presence of substantial host contamination.

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