Tracking the Evolution of the SARS Coronavirus Using High-Throughput, High-Density Resequencing Arrays
Author(s) -
Christopher W. Wong,
Thomas J. Albert,
Vinsensius B. Vega,
Jason E. Norton,
David J. Cutler,
Todd Richmond,
Lawrence W. Stanton,
Edison T. Liu,
Lance D. Miller
Publication year - 2004
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.2141004
Subject(s) - biology , covid-19 , coronavirus , tracking (education) , throughput , coronavirus infections , computational biology , virology , genetics , computer science , infectious disease (medical specialty) , outbreak , medicine , disease , psychology , telecommunications , pedagogy , wireless , pathology
Mutations in the SARS-Coronavirus (SARS-CoV) can alter its clinical presentation, and the study of its mutation patterns in human populations can facilitate contact tracing. Here, we describe the development and validation of an oligonucleotide resequencing array for interrogating the entire 30-kb SARS-CoV genome in a rapid, cost-effective fashion. Using this platform, we sequenced SARS-CoV genomes from Vero cell culture isolates of 12 patients and directly from four patient tissues. The sequence obtained from the array is highly reproducible, accurate (>99.99% accuracy) and capable of identifying known and novel variants of SARS-CoV. Notably, we applied this technology to a field specimen of probable SARS and rapidly deduced its infectious source. We demonstrate that array-based resequencing-by-hybridization is a fast, reliable, and economical alternative to capillary sequencing for obtaining SARS-CoV genomic sequence on a population scale, making this an ideal platform for the global monitoring of SARS-CoV and other small-genome pathogens.
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