Details

Autor(en) / Beteiligte

• 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

Titel

metaFlye: scalable long-read metagenome assembly using repeat graphs

Ist Teil von

• Nature methods, 2020-11, Vol.17 (11), p.1103-1110

Ort / Verlag

United States

Erscheinungsjahr

2020

Quelle

MEDLINE

Beschreibungen/Notizen

• 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.