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Biome representational in silico karyotyping
Author(s) -
Valliammai Muthappan,
Aaron Lee,
Tamara Lamprecht,
Lakshmi Akileswaran,
Suzanne M. Dintzis,
Choli Lee,
Vincent Magrini,
Elaine R. Mardis,
Jay Shendure,
Russell N. Van Gelder
Publication year - 2011
Publication title -
genome research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.556
H-Index - 297
eISSN - 1549-5469
pISSN - 1088-9051
DOI - 10.1101/gr.115758.110
Subject(s) - biology , in silico , karyotype , metagenomics , computational biology , dna sequencing , genetics , biome , genome , microbiome , chromosome , dna , gene , ecology , ecosystem
Metagenomic characterization of complex biomes remains challenging. Here we describe a modification of digital karyotyping-biome representational in silico karyotyping (BRISK)-as a general technique for analyzing a defined representation of all DNA present in a sample. BRISK utilizes a Type IIB DNA restriction enzyme to create a defined representation of 27-mer DNAs in a sample. Massively parallel sequencing of this representation allows for construction of high-resolution karyotypes and identification of multiple species within a biome. Application to normal human tissue demonstrated linear recovery of tags by chromosome. We apply this technique to the biome of the oral mucosa and find that greater than 25% of recovered DNA is nonhuman. DNA from 41 microbial species could be identified from oral mucosa of two subjects. Of recovered nonhuman sequences, fewer than 30% are currently annotated. We characterized seven prevalent unknown sequences by chromosome walking and find these represent novel microbial sequences including two likely derived from novel phage genomes. Application of BRISK to archival tissue from a nasopharyngeal carcinoma resulted in identification of Epstein-Barr virus infection. These results suggest that BRISK is a powerful technique for the analysis of complex microbiomes and potentially for pathogen discovery.

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