Identification of Microbial Dark Matter in Antarctic Environments.

ABSTRACT: Numerous studies have applied molecular techniques to understand the diversity, evolution, and ecological function of Antarctic bacteria and archaea. One common technique is sequencing of the 16S rRNA gene, which produces a nearly quantitative profile of community membership. However, the utility of this and similar approaches is limited by what is known about the evolution, physiology, and ecology of surveyed taxa. When representative genomes are available in public databases some of this information can be gleaned from genomic studies, and automated pipelines exist to carry out this task. Here the paprica metabolic inference pipeline was used to assess how well Antarctic microbial communities are represented by the available completed genomes. The NCBI's Sequence Read Archive (SRA) was s

SUBMITTER: Bowman JS 

PROVIDER: S-EPMC6305705 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature