metaFlye: scalable long-read metagenome assembly using repeat graphs

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,...

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Published inNature methods Vol. 17; no. 11; pp. 1103 - 1110
Main Authors Kolmogorov, Mikhail, Bickhart, Derek M., Behsaz, Bahar, Gurevich, Alexey, Rayko, Mikhail, Shin, Sung Bong, Kuhn, Kristen, Yuan, Jeffrey, Polevikov, Evgeny, Smith, Timothy P. L., Pevzner, Pavel A.
Format Journal Article
LanguageEnglish
Published New York Nature Publishing Group US 01.11.2020
Nature Publishing Group
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Summary: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. Long-read metagenomics offers a valuable approach for profiling bacterial communities. This work presents a long-read assembler, metaFlye, that specifically addresses the challenges of assembling metagenomes.
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ISSN:1548-7091
1548-7105
1548-7105
DOI:10.1038/s41592-020-00971-x