TY - JOUR
T1 - Assembly of 913 microbial genomes from metagenomic sequencing of the cow rumen
AU - Stewart, RD
AU - Auffret, MD
AU - Warr, A
AU - Wiser, AH
AU - Press, MO
AU - Langford, KW
AU - Liachko, I
AU - Snelling, TJ
AU - Dewhurst, RJ
AU - Walker, AW
AU - Roehe, R
AU - Watson, M
N1 - 1030565
PY - 2018/2/28
Y1 - 2018/2/28
N2 - 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-Cbased
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.
AB - 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-Cbased
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.
KW - Archaeal genomics
KW - Bacterial genomics
KW - Environmental microbiology
KW - Metagenomics
UR - http://dx.doi.org/10.1038/s41467-018-03317-6
UR - http://www.mendeley.com/research/metagenomic-sequencing-cow-rumen
U2 - 10.1038/s41467-018-03317-6
DO - 10.1038/s41467-018-03317-6
M3 - Article
C2 - 29491419
SN - 2041-1723
VL - 9
JO - Nature Communications
JF - Nature Communications
M1 - 870
ER -