Phylogenetic analysis of SARS-CoV-2 in Boston highlights the impact of superspreading events | Zendy

Jacob E. Lemieux | Zendy; Katherine J. Siddle | Zendy; Bennett Shaw | Zendy; Christine Loreth | Zendy; S. F. Schaffner | Zendy; Adrianne Gladden-Young | Zendy; Gordon Adams | Zendy; Timelia Fink | Zendy; Christopher H. Tomkins-Tinch | Zendy; Lydia A. Krasilnikova | Zendy; Katherine C. DeRuff | Zendy; Melissa A. Rudy | Zendy; Matthew R. Bauer | Zendy; Kim A. Lagerborg | Zendy; Erica Normandin | Zendy; Sinéad B. Chapman | Zendy; Steven K. Reilly | Zendy; Melis N. Anahtar | Zendy; Aaron E. Lin | Zendy; Amber Carter | Zendy; Cameron Myhrvold | Zendy; Molly Kemball | Zendy; Sushma Chaluvadi | Zendy; Caroline Cusick | Zendy; Katelyn Flowers | Zendy; Aneumann | Zendy; Felecia Cerrato | Zendy; Maha Farhat | Zendy; Damien Slater | Zendy; Jason B. Harris | Zendy; John A. Branda | Zendy; David C. Hooper | Zendy; Jessie M. Gaeta | Zendy; Travis P. Baggett | Zendy; James J. O’Connell | Zendy; Andreas Gnirke | Zendy; Tami D. Lieberman | Zendy; Anthony Philippakis | Zendy; Meagan Burns | Zendy; Catherine Brown | Zendy; Jeremy Luban | Zendy; Edward T. Ryan | Zendy; Sarah E. Turbett | Zendy; Regina C. LaRocque | Zendy; William P. Hanage | Zendy; Glen R. Gallagher | Zendy; Lawrence C. Madoff | Zendy; Sandra Smole | Zendy; Virginia Pierce | Zendy; Eric Rosenberg | Zendy; Pardis C. Sabeti | Zendy; Daniel J. Park | Zendy; Bronwyn MacInnis | Zendy

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Phylogenetic analysis of SARS-CoV-2 in Boston highlights the impact of superspreading events

Author(s) -

Jacob E. Lemieux,

Katherine J. Siddle,

Bennett Shaw,

Christine Loreth,

S. F. Schaffner,

Adrianne Gladden-Young,

Gordon Adams,

Timelia Fink,

Christopher H. Tomkins-Tinch,

Lydia A. Krasilnikova,

Katherine C. DeRuff,

Melissa A. Rudy,

Matthew R. Bauer,

Kim A. Lagerborg,

Erica Normandin,

Sinéad B. Chapman,

Steven K. Reilly,

Melis N. Anahtar,

Aaron E. Lin,

Amber Carter,

Cameron Myhrvold,

Molly Kemball,

Sushma Chaluvadi,

Caroline Cusick,

Katelyn Flowers,

Aneumann,

Felecia Cerrato,

Maha Farhat,

Damien Slater,

Jason B. Harris,

John A. Branda,

David C. Hooper,

Jessie M. Gaeta,

Travis P. Baggett,

James J. O’Connell,

Andreas Gnirke,

Tami D. Lieberman,

Anthony Philippakis,

Meagan Burns,

Catherine Brown,

Jeremy Luban,

Edward T. Ryan,

Sarah E. Turbett,

Regina C. LaRocque,

William P. Hanage,

Glen R. Gallagher,

Lawrence C. Madoff,

Sandra Smole,

Virginia Pierce,

Eric Rosenberg,

Pardis C. Sabeti,

Daniel J. Park,

Bronwyn MacInnis

Publication year - 2020

Publication title -

science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 12.556

H-Index - 1186

eISSN - 1095-9203

pISSN - 0036-8075

DOI - 10.1126/science.abe3261

Subject(s) - context (archaeology) , phylogenetics , covid-19 , phylogenetic tree , evolutionary biology , biology , outbreak , inference , coronavirus , virology , infectious disease (medical specialty) , genetics , medicine , disease , computer science , pathology , gene , paleontology , artificial intelligence

Analysis of 772 complete severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genomes from early in the Boston-area epidemic revealed numerous introductions of the virus, a small number of which led to most cases. The data revealed two superspreading events. One, in a skilled nursing facility, led to rapid transmission and significant mortality in this vulnerable population but little broader spread, whereas other introductions into the facility had little effect. The second, at an international business conference, produced sustained community transmission and was exported, resulting in extensive regional, national, and international spread. The two events also differed substantially in the genetic variation they generated, suggesting varying transmission dynamics in superspreading events. Our results show how genomic epidemiology can help to understand the link between individual clusters and wider community spread.

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