RT Journal Article
SR Electronic
T1 Assignment of virus and antimicrobial resistance genes to microbial hosts in a complex microbial community by combined long-read assembly and proximity ligation
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 491175
DO 10.1101/491175
A1 Bickhart, Derek M.
A1 Watson, Mick
A1 Koren, Sergey
A1 Panke-Buisse, Kevin
A1 Cersosimo, Laura M.
A1 Press, Maximilian O.
A1 Van Tassell, Curtis P.
A1 Van Kessel, Jo Ann S.
A1 Haley, Bradd J.
A1 Kim, Seon Woo
A1 Heiner, Cheryl
A1 Suen, Garret
A1 Bakshy, Kiranmayee
A1 Liachko, Ivan
A1 Sullivan, Shawn T.
A1 Ghurye, Jay
A1 Pop, Mihai
A1 Weimer, Paul J.
A1 Phillippy, Adam M.
A1 Smith, Timothy P.L.
YR 2018
UL http://biorxiv.org/content/early/2018/12/09/491175.abstract
AB The characterization of microbial communities by metagenomic approaches has been enhanced by recent improvements in short-read sequencing efficiency and assembly algorithms. We describe the results of adding long-read sequencing to the mix of technologies used to assemble a highly complex cattle rumen microbial community, and compare the assembly to current short read-based methods applied to the same sample. Contigs in the long-read assembly were 7-fold longer on average, and contained 7-fold more complete open reading frames (ORF), than the short read assembly, despite having three-fold lower sequence depth. The linkages between long-read contigs, provided by proximity ligation data, supported identification of 188 novel viral-host associations in the rumen microbial community that suggest cross-species infectivity of specific viral strains. The improved contiguity of the long-read assembly also identified 94 antimicrobial resistance genes, compared to only seven alleles identified in the short-read assembly. Overall, we demonstrate a combination of experimental and computational methods that work synergistically to improve characterization of biological features in a highly complex rumen microbial community.