Modeling ecological drivers in marine viral communities using comparative metagenomics and network analyses.

ABSTRACT: Long-standing questions in marine viral ecology are centered on understanding how viral assemblages change along gradients in space and time. However, investigating these fundamental ecological questions has been challenging due to incomplete representation of naturally occurring viral diversity in single gene- or morphology-based studies and an inability to identify up to 90% of reads in viral metagenomes (viromes). Although protein clustering techniques provide a significant advance by helping organize this unknown metagenomic sequence space, they typically use only ∼75% of the data and rely on assembly methods not yet tuned for naturally occurring sequence variation. Here, we introduce an annotation- and assembly-free strategy for comparative metagenomics that combines shared k-mer and

SUBMITTER: Hurwitz BL 

PROVIDER: S-EPMC4115555 | biostudies-literature | 2014 Jul

REPOSITORIES: biostudies-literature