Edinburgh Research Explorer

Assembly of 913 microbial genomes from metagenomic sequencing of the cow rumen

Research output: Contribution to journalArticle

  • Robert Stewart
  • Marc D. Auffret
  • Amanda Warr
  • Andrew Wiser
  • Maximilian Press
  • Kyle Langford
  • Ivan Liachko
  • Timothy J Snelling
  • Richard J. Dewhurst
  • Alan W. Walker
  • Rainer Roehe
  • Michael Watson

Related Edinburgh Organisations

Open Access permissions

Open

Documents

  • Download as Adobe PDF

    Final published version, 2 MB, PDF-document

    Licence: Creative Commons: Attribution (CC-BY)

Original languageEnglish
Pages (from-to)870
JournalNature Communications
Volume9
Issue number1
DOIs
Publication statusPublished - 28 Feb 2018

Abstract

The cow rumen is adapted for the breakdown of plant material into energy and nutrients, a task largely performed by enzymes encoded by the rumen microbiome. Here we present 913 draft bacterial and archaeal genomes assembled from over 800 Gb of rumen metagenomic sequence data derived from 43 Scottish cattle, using both metagenomic binning and Hi-C-based proximity-guided assembly. Most of these genomes represent previously unsequenced strains and species. The draft genomes contain over 69,000 proteins predicted to be involved in carbohydrate metabolism, over 90% of which do not have a good match in public databases. Inclusion of the 913 genomes presented here improves metagenomic read classification by sevenfold against our own data, and by fivefold against other publicly available rumen datasets. Thus, our dataset substantially improves the coverage of rumen microbial genomes in the public databases and represents a valuable resource for biomass-degrading enzyme discovery and studies of the rumen microbiome

Download statistics

No data available

ID: 54382031