INC-Seq: accurate single molecule reads using nanopore sequencing

Gigascience. 2016 Aug 2;5(1):34. doi: 10.1186/s13742-016-0140-7.

Abstract

Background: Nanopore sequencing provides a rapid, cheap and portable real-time sequencing platform with the potential to revolutionize genomics. However, several applications are limited by relatively high single-read error rates (>10 %), including RNA-seq, haplotype sequencing and 16S sequencing.

Results: We developed the Intramolecular-ligated Nanopore Consensus Sequencing (INC-Seq) as a strategy for obtaining long and accurate nanopore reads, starting with low input DNA. Applying INC-Seq for 16S rRNA-based bacterial profiling generated full-length amplicon sequences with a median accuracy >97 %.

Conclusions: INC-Seq reads enabled accurate species-level classification, identification of species at 0.1 % abundance and robust quantification of relative abundances, providing a cheap and effective approach for pathogen detection and microbiome profiling on the MinION system.

Keywords: Barcode sequencing; Consensus algorithms; Nanopore sequencing; Rolling circle amplification.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Bacteria / classification*
  • Bacteria / genetics
  • DNA Barcoding, Taxonomic
  • DNA, Bacterial / genetics
  • DNA, Ribosomal / genetics
  • Genomics
  • High-Throughput Nucleotide Sequencing / methods*
  • Humans
  • Nanopores
  • RNA, Ribosomal, 16S / genetics*
  • Sequence Analysis, DNA / methods*

Substances

  • DNA, Bacterial
  • DNA, Ribosomal
  • RNA, Ribosomal, 16S