Biogeography and environmental conditions shape bacteriophage-bacteria networks across the human microbiome.

ABSTRACT: Viruses and bacteria are critical components of the human microbiome and play important roles in health and disease. Most previous work has relied on studying bacteria and viruses independently, thereby reducing them to two separate communities. Such approaches are unable to capture how these microbial communities interact, such as through processes that maintain community robustness or allow phage-host populations to co-evolve. We implemented a network-based analytical approach to describe phage-bacteria network diversity throughout the human body. We built these community networks using a machine learning algorithm to predict which phages could infect which bacteria in a given microbiome. Our algorithm was applied to paired viral and bacterial metagenomic sequence sets from three previou

SUBMITTER: Hannigan GD 

PROVIDER: S-EPMC5927471 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature