Nanopore adaptive sampling: a tool for enrichment of low abundance species in metagenomic samples
Samuel Martin, Darren Heavens, Yuxuan Lan, Samuel Horsfield, Matthew D. Clark, Richard M. Leggett
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.