Capturing diverse microbial sequence with comprehensive and scalable probe design

Author:

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

Abstract

AbstractMetagenomic 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.

Publisher

Cold Spring Harbor Laboratory

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