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Capturing diverse microbial sequence with comprehensive and scalable probe design

Authors :
James Qu
Ikponmwonsa Odia
Douglas S. Kwon
Yasmine Rangel Vieira
Etienne Simon-Loriere
Hayden C. Metsky
Patrick Brehio
Leda Parham
Giselle Barbosa-Lima
Scott F. Michael
Scott Hennigan
David K Yang
Andreas Gnirke
Gregory D. Ebel
Augustine Goba
Eva Harris
Shirlee Wohl
Adrianne Gladden-Young
Fernando A. Bozza
Kayla G. Barnes
Amber Carter
Katherine J. Siddle
Lauren M. Paul
Aaron E. Lin
Souza Tml
Sandra Smole
Jonathan A. Runstadler
Pardis C. Sabeti
Damien C. Tully
Anne Piantadosi
Daniel J. Park
Christian T. Happi
Sharon Isern
Ivette Lorenzana
Andrew Goldfarb
Lee Gehrke
Bjӧrn Corleis
Todd M. Allen
Amanda L Tan
Angel Balmaseda
Philomena Eromon
Kimberly García
Irene Bosch
Donald S. Grant
Lisa E. Hensley
Onikepe A. Folarin
Christian B. Matranga
Publication Year :
2018
Publisher :
Cold Spring Harbor Laboratory, 2018.

Abstract

Metagenomic sequencing has the potential to transform microbial detection and characterization, but new tools are needed to improve its sensitivity. We developed CATCH (Compact Aggregation of Targets for Comprehensive Hybridization), a computational method to enhance nucleic acid capture for enrichment of diverse microbial taxa. CATCH designs compact probe sets that achieve full coverage of known sequence diversity and that scale well with this diversity. To illustrate applications of CATCH, we focused on capturing viral genomes. We designed, synthesized, and validated multiple probe sets, including one that targets whole genomes of the 356 viral species known to infect humans. Capture with these probe sets enriched unique viral content on average 18× and allowed us to assemble genomes that we could not otherwise recover, while accurately preserving within-sample diversity. We used this approach to recover genomes from the 2018 Lassa fever outbreak in Nigeria and to improve detection of viral infections in samples with unknown content. Together, this work demonstrates a path toward more sensitive, cost-effective metagenomic sequencing.

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....10dd9b764a13f4a71f7fa807db8bdcfd
Full Text :
https://doi.org/10.1101/279570