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Resolving the Complexity of Human Skin Metagenomes Using Single-Molecule Sequencing.

Publication ,  Journal Article
Tsai, Y-C; Conlan, S; Deming, C; NISC Comparative Sequencing Program; Segre, JA; Kong, HH; Korlach, J; Oh, J
Published in: mBio
February 9, 2016

UNLABELLED: Deep metagenomic shotgun sequencing has emerged as a powerful tool to interrogate composition and function of complex microbial communities. Computational approaches to assemble genome fragments have been demonstrated to be an effective tool for de novo reconstruction of genomes from these communities. However, the resultant "genomes" are typically fragmented and incomplete due to the limited ability of short-read sequence data to assemble complex or low-coverage regions. Here, we use single-molecule, real-time (SMRT) sequencing to reconstruct a high-quality, closed genome of a previously uncharacterized Corynebacterium simulans and its companion bacteriophage from a skin metagenomic sample. Considerable improvement in assembly quality occurs in hybrid approaches incorporating short-read data, with even relatively small amounts of long-read data being sufficient to improve metagenome reconstruction. Using short-read data to evaluate strain variation of this C. simulans in its skin community at single-nucleotide resolution, we observed a dominant C. simulans strain with moderate allelic heterozygosity throughout the population. We demonstrate the utility of SMRT sequencing and hybrid approaches in metagenome quantitation, reconstruction, and annotation. IMPORTANCE: The species comprising a microbial community are often difficult to deconvolute due to technical limitations inherent to most short-read sequencing technologies. Here, we leverage new advances in sequencing technology, single-molecule sequencing, to significantly improve reconstruction of a complex human skin microbial community. With this long-read technology, we were able to reconstruct and annotate a closed, high-quality genome of a previously uncharacterized skin species. We demonstrate that hybrid approaches with short-read technology are sufficiently powerful to reconstruct even single-nucleotide polymorphism level variation of species in this a community.

Duke Scholars

Published In

mBio

DOI

EISSN

2150-7511

Publication Date

February 9, 2016

Volume

7

Issue

1

Start / End Page

e01948 / e01915

Location

United States

Related Subject Headings

  • Skin
  • Sequence Analysis, DNA
  • Molecular Sequence Data
  • Microbiota
  • Metagenomics
  • Humans
  • High-Throughput Nucleotide Sequencing
  • Corynebacterium
  • Bacteriophages
  • 3207 Medical microbiology
 

Citation

APA
Chicago
ICMJE
MLA
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Tsai, Y.-C., Conlan, S., Deming, C., NISC Comparative Sequencing Program, Segre, J. A., Kong, H. H., … Oh, J. (2016). Resolving the Complexity of Human Skin Metagenomes Using Single-Molecule Sequencing. MBio, 7(1), e01948–e01915. https://doi.org/10.1128/mBio.01948-15
Tsai, Yu-Chih, Sean Conlan, Clayton Deming, NISC Comparative Sequencing Program, Julia A. Segre, Heidi H. Kong, Jonas Korlach, and Julia Oh. “Resolving the Complexity of Human Skin Metagenomes Using Single-Molecule Sequencing.MBio 7, no. 1 (February 9, 2016): e01948–e01915. https://doi.org/10.1128/mBio.01948-15.
Tsai Y-C, Conlan S, Deming C, NISC Comparative Sequencing Program, Segre JA, Kong HH, et al. Resolving the Complexity of Human Skin Metagenomes Using Single-Molecule Sequencing. mBio. 2016 Feb 9;7(1):e01948–e01915.
Tsai, Yu-Chih, et al. “Resolving the Complexity of Human Skin Metagenomes Using Single-Molecule Sequencing.MBio, vol. 7, no. 1, Feb. 2016, pp. e01948–e01915. Pubmed, doi:10.1128/mBio.01948-15.
Tsai Y-C, Conlan S, Deming C, NISC Comparative Sequencing Program, Segre JA, Kong HH, Korlach J, Oh J. Resolving the Complexity of Human Skin Metagenomes Using Single-Molecule Sequencing. mBio. 2016 Feb 9;7(1):e01948–e01915.

Published In

mBio

DOI

EISSN

2150-7511

Publication Date

February 9, 2016

Volume

7

Issue

1

Start / End Page

e01948 / e01915

Location

United States

Related Subject Headings

  • Skin
  • Sequence Analysis, DNA
  • Molecular Sequence Data
  • Microbiota
  • Metagenomics
  • Humans
  • High-Throughput Nucleotide Sequencing
  • Corynebacterium
  • Bacteriophages
  • 3207 Medical microbiology