| Literature DB >> 34980911 |
Derek M Bickhart1, Mikhail Kolmogorov2, Elizabeth Tseng3, Daniel M Portik3, Anton Korobeynikov4, Ivan Tolstoganov4, Gherman Uritskiy5, Ivan Liachko6, Shawn T Sullivan6, Sung Bong Shin7, Alvah Zorea8, Victòria Pascal Andreu9, Kevin Panke-Buisse1, Marnix H Medema9, Itzhak Mizrahi8, Pavel A Pevzner10, Timothy P L Smith11.
Abstract
Microbial communities might include distinct lineages of closely related organisms that complicate metagenomic assembly and prevent the generation of complete metagenome-assembled genomes (MAGs). Here we show that deep sequencing using long (HiFi) reads combined with Hi-C binning can address this challenge even for complex microbial communities. Using existing methods, we sequenced the sheep fecal metagenome and identified 428 MAGs with more than 90% completeness, including 44 MAGs in single circular contigs. To resolve closely related strains (lineages), we developed MAGPhase, which separates lineages of related organisms by discriminating variant haplotypes across hundreds of kilobases of genomic sequence. MAGPhase identified 220 lineage-resolved MAGs in our dataset. The ability to resolve closely related microbes in complex microbial communities improves the identification of biosynthetic gene clusters and the precision of assigning mobile genetic elements to host genomes. We identified 1,400 complete and 350 partial biosynthetic gene clusters, most of which are novel, as well as 424 (298) potential host-viral (host-plasmid) associations using Hi-C data.Entities:
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Year: 2022 PMID: 34980911 DOI: 10.1038/s41587-021-01130-z
Source DB: PubMed Journal: Nat Biotechnol ISSN: 1087-0156 Impact factor: 68.164