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High-quality genome sequences of uncultured microbes by assembly of read clouds.


ABSTRACT: Although shotgun metagenomic sequencing of microbiome samples enables partial reconstruction of strain-level community structure, obtaining high-quality microbial genome drafts without isolation and culture remains difficult. Here, we present an application of read clouds, short-read sequences tagged with long-range information, to microbiome samples. We present Athena, a de novo assembler that uses read clouds to improve metagenomic assemblies. We applied this approach to sequence stool samples from two healthy individuals and compared it with existing short-read and synthetic long-read metagenomic sequencing techniques. Read-cloud metagenomic sequencing and Athena assembly produced the most comprehensive individual genome drafts with high contiguity (>200-kb N50, fewer than ten contigs), even for bacteria with relatively low (20×) raw short-read-sequence coverage. We also sequenced a complex marine-sediment sample and generated 24 intermediate-quality genome drafts (>70% complete, <10% contaminated), nine of which were complete (>90% complete, <5% contaminated). Our approach allows for culture-free generation of high-quality microbial genome drafts by using a single shotgun experiment.

SUBMITTER: Bishara A 

PROVIDER: S-EPMC6465186 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature

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High-quality genome sequences of uncultured microbes by assembly of read clouds.

Bishara Alex A   Moss Eli L EL   Kolmogorov Mikhail M   Parada Alma E AE   Weng Ziming Z   Sidow Arend A   Dekas Anne E AE   Batzoglou Serafim S   Bhatt Ami S AS  

Nature biotechnology 20181015


Although shotgun metagenomic sequencing of microbiome samples enables partial reconstruction of strain-level community structure, obtaining high-quality microbial genome drafts without isolation and culture remains difficult. Here, we present an application of read clouds, short-read sequences tagged with long-range information, to microbiome samples. We present Athena, a de novo assembler that uses read clouds to improve metagenomic assemblies. We applied this approach to sequence stool samples  ...[more]

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