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Nearly finished genomes produced using gel microdroplet culturing reveal substantial intraspecies genomic diversity within the human microbiome.

Genome research | 2013

The majority of microbial genomic diversity remains unexplored. This is largely due to our inability to culture most microorganisms in isolation, which is a prerequisite for traditional genome sequencing. Single-cell sequencing has allowed researchers to circumvent this limitation. DNA is amplified directly from a single cell using the whole-genome amplification technique of multiple displacement amplification (MDA). However, MDA from a single chromosome copy suffers from amplification bias and a large loss of specificity from even very small amounts of DNA contamination, which makes assembling a genome difficult and completely finishing a genome impossible except in extraordinary circumstances. Gel microdrop cultivation allows culturing of a diverse microbial community and provides hundreds to thousands of genetically identical cells as input for an MDA reaction. We demonstrate the utility of this approach by comparing sequencing results of gel microdroplets and single cells following MDA. Bias is reduced in the MDA reaction and genome sequencing, and assembly is greatly improved when using gel microdroplets. We acquired multiple near-complete genomes for two bacterial species from human oral and stool microbiome samples. A significant amount of genome diversity, including single nucleotide polymorphisms and genome recombination, is discovered. Gel microdroplets offer a powerful and high-throughput technology for assembling whole genomes from complex samples and for probing the pan-genome of naturally occurring populations.

Pubmed ID: 23493677 RIS Download

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Associated grants

  • Agency: NIAID NIH HHS, United States
    Id: HHSN272200900007C
  • Agency: NHGRI NIH HHS, United States
    Id: R01 HG003647
  • Agency: NIAID NIH HHS, United States
    Id: U54 AI084844
  • Agency: NIAID NIH HHS, United States
    Id: U54 AI-084844-01

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This is a list of tools and resources that we have found mentioned in this publication.


MEGAN (tool)

RRID:SCR_011942

Software for analyzing metagenomes.

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GARLI (tool)

RRID:SCR_016117

Software application for inferring phylogenetic trees and analysis of molecular sequence data using the maximum-likelihood criterion. It implements nucleotide, amino acid and codon-based models of sequence evolution.

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