4.7 Article

Improved high-molecular-weight DNA extraction, nanopore sequencing and metagenomic assembly from the human gut microbiome

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NATURE PROTOCOLS
卷 16, 期 1, 页码 458-471

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NATURE RESEARCH
DOI: 10.1038/s41596-020-00424-x

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资金

  1. Stanford Graduate Fellowships in Science and Engineering program
  2. National Science Foundation [DGE-114747]
  3. Damon Runyon Clinical Investigator Award [NIH R01AI148623, NIH R01AI143757, NIH P30 AG047366]
  4. NIH S10 Shared Instrumentation [1S10OD02014101]
  5. NIH supports the Genetics Bioinformatics Service Center, a Stanford Cancer Institute Shared Resource [P30 CA124435]

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Utilizing a combination of short-read metagenomic sequencing and long-read sequencing, high-quality bacterial genomes can be obtained from the complex human gut microbiome, with some challenges to overcome.
Short-read metagenomic sequencing and de novo genome assembly of the human gut microbiome can yield draft bacterial genomes without isolation and culture. However, bacterial genomes assembled from short-read sequencing are often fragmented. Furthermore, these metagenome-assembled genomes often exclude repeated genomic elements, such as mobile genetic elements, compromising our understanding of the contribution of these elements to important bacterial phenotypes. Although long-read sequencing has been applied successfully to the assembly of contiguous bacterial isolate genomes, extraction of DNA of sufficient molecular weight, purity and quantity for metagenomic sequencing from stool samples can be challenging. Here, we present a protocol for the extraction of microgram quantities of high-molecular-weight DNA from human stool samples that are suitable for downstream long-read sequencing applications. We also present Lathe (), a computational workflow for long-read basecalling, assembly, consensus refinement with long reads or Illumina short reads and genome circularization. Altogether, this protocol can yield high-quality contiguous or circular bacterial genomes from a complex human gut sample in approximately 10 d, with 2 d of hands-on bench and computational effort.

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