| Literature DB >> 35067223 |
Samuel Martin1, Darren Heavens1, Yuxuan Lan1, Samuel Horsfield1, Matthew D Clark2, Richard M Leggett3.
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.Entities:
Keywords: Adaptive sampling; Enrichment; Metagenomics; Nanopore; ReadUntil; Sequencing
Mesh:
Year: 2022 PMID: 35067223 PMCID: PMC8785595 DOI: 10.1186/s13059-021-02582-x
Source DB: PubMed Journal: Genome Biol ISSN: 1474-7596 Impact factor: 17.906