Long Single-Molecule Reads Can Resolve the Complexity of the Influenza Virus Composed of Rare, Closely Related Mutant Variants

J Comput Biol. 2017 Jun;24(6):558-570. doi: 10.1089/cmb.2016.0146. Epub 2016 Nov 30.

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.

Keywords: RNA viral variants; SMRT reads; single-nucleotide variation.

MeSH terms

  • Algorithms*
  • Cluster Analysis
  • Computational Biology / methods*
  • Genome, Viral
  • High-Throughput Nucleotide Sequencing / methods*
  • Humans
  • Mutation*
  • Orthomyxoviridae / genetics*
  • Sequence Analysis, DNA / methods*