Abstract
We describe a method that adds long-read sequencing to a mix of technologies used to assemble a highly complex cattle rumen microbial community, and provide a comparison to short read-based methods. Long-read alignments and Hi-C linkage between contigs support the identification of 188 novel virus-host associations and the determination of phage life cycle states in the rumen microbial community. The long-read assembly also identifies 94 antimicrobial resistance genes, compared to only seven alleles in the short-read assembly. We demonstrate novel techniques that work synergistically to improve characterization of biological features in a highly complex rumen microbial community.
Original language | English |
---|---|
Pages (from-to) | 153 |
Journal | Genome Biology |
Volume | 20 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2 Aug 2019 |