Nanopore adaptive sampling: a tool for enrichment of low abundance species in metagenomic samples

Genome Biol. 2022 Jan 24;23(1):11. doi: 10.1186/s13059-021-02582-x.

Abstract

Adaptive sampling is a method of software-controlled enrichment unique to nanopore sequencing platforms. To test its potential for enrichment of rarer species within metagenomic samples, we create a synthetic mock community and construct sequencing libraries with a range of mean read lengths. Enrichment is up to 13.87-fold for the least abundant species in the longest read length library; factoring in reduced yields from rejecting molecules the calculated efficiency raises this to 4.93-fold. Finally, we introduce a mathematical model of enrichment based on molecule length and relative abundance, whose predictions correlate strongly with mock and complex real-world microbial communities.

Keywords: Adaptive sampling; Enrichment; Metagenomics; Nanopore; ReadUntil; Sequencing.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • High-Throughput Nucleotide Sequencing
  • Metagenome
  • Metagenomics
  • Nanopore Sequencing*
  • Nanopores*
  • Sequence Analysis, DNA