DRAM for distilling microbial metabolism to automate the curation of microbiome function

Microbial and viral communities transform the chemistry of Earth's ecosystems, yet the specific reactions catalyzed by these biological engines are hard to decode due to the absence of a scalable, metabolically resolved, annotation software. Here, we present DRAM (Distilled and Refined Annotation of Metabolism), a framework to translate the deluge of microbiome-based genomic information into a catalog of microbial traits. To demonstrate the applicability of DRAM across metabolically diverse genomes, we evaluated DRAM performance on a defined, in silico soil community and previously published human gut metagenomes. We show that DRAM accurately assigned microbial contributions to geochemical cycles and automated…

• NS
  National Science Foundation

  Awards: 1750189, 1759874, 1450032, DE-AC02-05CH11231
• UD
  U.S. Department of Energy

  Awards: -AC02-05CH11231, DE-SC0018022, 05CH11231, AC02-05CH11231, DE-AC02, DE-AC02-05CH11231, DE-AC02-
• OS
  Ohio State University
• CS
  Colorado State University
• JG
  Joint Genome Institute

  Awards: DE-AC02-05CH11231, AC02-05CH11231
• NI
  National Institutes of Health

  Awards: 007447-00002, 00002, DE-AC02-05CH11231
• OO
  Office of Science

  Awards: AC02-05CH11231, -AC02-05CH11231, DE-AC02, DE-SC0018022
• DO
  Division of Biological Infrastructure
• BA
  Biological and Environmental Research

  Awards: 05CH11231, DE-AC02-05CH11231, AC02-05CH11231