Zika virus evolution and spread in the Americas
Name
Final pre-print version of Zika manuscript with display items.pdf
Size
5.51 MB
Format
Adobe PDF
Checksum (MD5)
0019671b35cb4f52d1c5fc91de9fabe9
Author(s)
Matranga, Christian B.
Wohl, Shirlee
Freije, Catherine A.
Winnicki, Sarah M.
West, Kendra
Baniecki, Mary Lynn
Gladden-Young, Adrianne
Lin, Aaron E.
Tomkins-Tinch, Christopher H.
Luo, Cynthia Y.
Date Issued
May 2017
Journal
Nature
Publisher
Nature Publishing Group
Citation
Metsky, Hayden C. et al. “Zika Virus Evolution and Spread in the Americas.” Nature 546, 7658 (May 2017): 411–415 © 2017 Macmillan Publishers Limited, part of Springer Nature
Version
Author's final manuscript
Abstract
Although the recent Zika virus (ZIKV) epidemic in the Americas and its link to birth defects have attracted a great deal of attention1,2, much remains unknown about ZIKV disease epidemiology and ZIKV evolution, in part owing to a lack of genomic data. Here we address this gap in knowledge by using multiple sequencing approaches to generate 110 ZIKV genomes from clinical and mosquito samples from 10 countries and territories, greatly expanding the observed viral genetic diversity from this outbreak. We analysed the timing and patterns of introductions into distinct geographic regions; our phylogenetic evidence suggests rapid expansion of the outbreak in Brazil and multiple introductions of outbreak strains into Puerto Rico, Honduras, Colombia, other Caribbean islands, and the continental United States. We find that ZIKV circulated undetected in multiple regions for many months before the first locally transmitted cases were confirmed, highlighting the importance of surveillance of viral infections. We identify mutations with possible functional implications for ZIKV biology and pathogenesis, as well as those that might be relevant to the effectiveness of diagnostic tests.
MIT Department
Institute for Medical Engineering and Science
Broad Institute of MIT and Harvard
Harvard University--MIT Division of Health Sciences and Technology
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1038/nature22402
