| Literature DB >> 27901586 |
Alexander Artyomenko1, Nicholas C Wu2, Serghei Mangul3,4, Eleazar Eskin3, Ren Sun5, Alex Zelikovsky1.
Abstract
As a result of a high rate of mutations and recombination events, an RNA-virus exists as a heterogeneous "swarm" of mutant variants. The long read length offered by single-molecule sequencing technologies allows each mutant variant to be sequenced in a single pass. However, high error rate limits the ability to reconstruct heterogeneous viral population composed of rare, related mutant variants. In this article, we present two single-nucleotide variants (2SNV), a method able to tolerate the high error rate of the single-molecule protocol and reconstruct mutant variants. 2SNV uses linkage between single-nucleotide variations to efficiently distinguish them from read errors. To benchmark the sensitivity of 2SNV, we performed a single-molecule sequencing experiment on a sample containing a titrated level of known viral mutant variants. Our method is able to accurately reconstruct clone with frequency of 0.2% and distinguish clones that differed in only two nucleotides distantly located on the genome. 2SNV outperforms existing methods for full-length viral mutant reconstruction.Entities:
Keywords: RNA viral variants; SMRT reads; single-nucleotide variation
Mesh:
Year: 2016 PMID: 27901586 PMCID: PMC5467126 DOI: 10.1089/cmb.2016.0146
Source DB: PubMed Journal: J Comput Biol ISSN: 1066-5277 Impact factor: 1.479