Uncovering the biosynthetic potential of rare metagenomic DNA using co-occurrence network analysis of targeted sequences.

ABSTRACT: Sequencing of DNA extracted from environmental samples can provide key insights into the biosynthetic potential of uncultured bacteria. However, the high complexity of soil metagenomes, which can contain thousands of bacterial species per gram of soil, imposes significant challenges to explore secondary metabolites potentially produced by rare members of the soil microbiome. Here, we develop a targeted sequencing workflow termed CONKAT-seq (co-occurrence network analysis of targeted sequences) that detects physically clustered biosynthetic domains, a hallmark of bacterial secondary metabolism. Following targeted amplification of conserved biosynthetic domains in a highly partitioned metagenomic library, CONKAT-seq evaluates amplicon co-occurrence patterns across library subpools to identif

SUBMITTER: Libis V 

PROVIDER: S-EPMC6710260 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature