| Literature DB >> 33020656 |
Mikhail Kolmogorov1, Derek M Bickhart2, Bahar Behsaz3, Alexey Gurevich4, Mikhail Rayko4, Sung Bong Shin5, Kristen Kuhn5, Jeffrey Yuan3, Evgeny Polevikov4,6, Timothy P L Smith5, Pavel A Pevzner7,8.
Abstract
Long-read sequencing technologies have substantially improved the assemblies of many isolate bacterial genomes as compared to fragmented short-read assemblies. However, assembling complex metagenomic datasets remains difficult even for state-of-the-art long-read assemblers. Here we present metaFlye, which addresses important long-read metagenomic assembly challenges, such as uneven bacterial composition and intra-species heterogeneity. First, we benchmarked metaFlye using simulated and mock bacterial communities and show that it consistently produces assemblies with better completeness and contiguity than state-of-the-art long-read assemblers. Second, we performed long-read sequencing of the sheep microbiome and applied metaFlye to reconstruct 63 complete or nearly complete bacterial genomes within single contigs. Finally, we show that long-read assembly of human microbiomes enables the discovery of full-length biosynthetic gene clusters that encode biomedically important natural products.Entities:
Year: 2020 PMID: 33020656 DOI: 10.1038/s41592-020-00971-x
Source DB: PubMed Journal: Nat Methods ISSN: 1548-7091 Impact factor: 28.547