Tracking and forecasting epidemic spread through viral genome sequencing
Trevor Bedford (@trvrb)
6 Feb 2020
MCMB Seminar Series
SF State University
Slides at: bedford.io/talks
We work at the interface of virology, evolution and epidemiology
Sequencing to reconstruct pathogen spread
Epidemic process
Sample some individuals
Sequence and determine phylogeny
Sequence and determine phylogeny
Localized Middle Eastern MERS-CoV phylogeny
Regional West African Ebola phylogeny
Global influenza phylogeny
Phylogenetic tracking has the capacity to revolutionize epidemiology
Outline
- Analysis of Ebola epidemic spread in West Africa
- Nextstrain platform for real-time phylodynamics
- Actionable genomic epidemiology for Ebola in the DRC
- Novel coronavirus(!)
Ebola epidemic of 2014-2016 was unprecedented in scope
Ebola epidemic in West Africa
Ebola epidemic within Sierra Leone
Virus genomes reveal factors that spread and sustained the Ebola epidemic
with Gytis Dudas, Andrew Rambaut, Luiz Carvalho, Marc Suchard, Philippe Lemey,
and many others
Sequencing of 1610 Ebola virus genomes collected during the 2013-2016 West African epidemic
Sequenced genomes were representative of spatiotemporal diversity
Phylogenetic reconstruction of epidemic
Tracking migration events
Factors influencing migration rates
Effect of borders on migration rates
Spatial structure at the country level
Substantial mixing at the regional level
Each introduction results in a minor outbreak
Regional outbreaks due to multiple introductions
Regional outbreaks due to multiple introductions
Ebola spread in West Africa followed a gravity model with moderate slowing by international borders,
in which spread is driven by short-lived migratory clusters
Genomic analyses were mostly done in a retrospective manner
Dudas and Rambaut 2016
Key challenges to making genomic epidemiology actionable
- Timely analysis and sharing of results critical
- Dissemination must be scalable
- Integrate many data sources
- Results must be easily interpretable and queryable
Nextstrain
Project to conduct real-time molecular epidemiology and evolutionary analysis of emerging epidemics
with
Richard Neher,
James Hadfield,
Emma Hodcroft,
Thomas Sibley,
John Huddleston,
Louise Moncla,
Misja Ilcisin,
Kairsten Fay,
Jover Lee,
Allison Black,
Colin Megill,
Sidney Bell,
Barney Potter,
Charlton Callender
Nextstrain architecture
All code open source at github.com/nextstrain
Two central aims: (1) rapid and flexible phylodynamic analysis and
(2) interactive visualization
Rapid build pipeline for 1600 Ebola genomes
- Align with MAFFT (34 min)
- Build ML tree with RAxML (54 min)
- Temporally resolve tree and geographic ancestry with TreeTime (16 min)
- Total pipeline (1 hr 46 min)
Flexible pipelines constructed through command line modules
- Modules called via
augur filter
, augur tree
, augur traits
, etc...
- Designed to be composable across pathogen builds
- Defined pipeline, making steps obvious
- Provides dependency graph for fast recomputation
- Pathogen-specific repos give users an obvious foundation to build from
Nextstrain is two things
- a bioinformatics toolkit and visualization app, which can be used for a broad range of datasets
- a collection of real-time pathogen analyses kept up-to-date on the website nextstrain.org
Rapid on-the-ground sequencing in Makeni, Sierra Leone
"Community" builds to promote frictionless sharing of results
- Attempting to write us out of the picture
- JSON outputs uploaded to
github.com/PenningsLab/hiv
, would be available at nextstrain.org/community/PenningsLab/hiv
- Used now for a variety of pathogens including Lassa in Nigeria, global RSV and cassava virus
Genomic epidemiology applied to North Kivu Ebola outbreak
with Placide Mbala-Kingebeni, Eddy Kinganda Lusamaki, Catherine Pratt, Mike Wiley,
James Hadfield, Allison Black, Jean-Jacques Muyembe Tamfum, Steve Ahuka-Mundeke,
Daniel Mukadi, Gustavo Palacios, Amadou Sall, Ousmane Faye, Eric Delaporte,
Martine Peeters and many others
Nextstrain is being used to track North Kivu outbreak
Allison Black (PhD student) and James Hadfield (postdoc) working with scientists at the INRB.
Goal is to provide training in bioinformatics, Nextstrain and genomic epidemiology.
View of current genomic data
Current dataset:
- 569 full genomes sequenced (~17% of confirmed cases)
- Most recent sequenced virus collected Jan 13 (~3 weeks ago)
Often (but not always) need specific actionable pieces of information rather than large-scale understanding.
For Ebola outbreak response, I believe this needs to revolve around contact tracing.
Superspreader event in June
Using narratives to walk through specific transmission inferences
- We're rolling out new narratives functionality in Nextstrain
- These are Markdown posts that allow you to pair narrative text to visualization state
- Made possible through an early decision to embed visualization state in URL
- Example narrative for Ebola in the DRC here: nextstrain.org/narratives/inrb-ebola-example-sit-rep
Jan 10: nCoV is a betacoronavirus
Jan 10: nCoV is a betacoronavirus
Jan 11: And belongs to SARS-like coronaviruses
Jan 11: And belongs to SARS-like coronaviruses
Jan 11: These viruses have a natural reservoir in bats
Jan 11: Initial 5 nCoV genomes from Wuhan showed highly restricted genetic diversity
Initially thought clustering due to epi investigation of linked cases at
Huanan seafood market
Jan 17: Additional 2 nCoV genomes from Thailand travel cases also lacked diversity
Jan 19: Additional 5 nCoV genomes from Wuhan still lacked diversity
Single introduction into the human population between Nov 15 and Dec 15 and
human-to-human epidemic spread from this point forward
Spent the week of Jan 20 alerting public health officials, and since then have
aimed to keep nextstrain.org/ncov updated within ~1hr of new sequences being
deposited
Data sharing through GISAID
- Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
- National Institute for Viral Disease Control and Prevention, China CDC, Beijing, China
- Institute of Pathogen Biology, Chinese Academy of Medical Sciences, Beijing, China
- Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, China
- Department of Microbiology, Zhejiang Provincial CDC, Hangzhou, China
- Guangdong Provincial CDC, Guangzhou, China
- Shenzhen Key Laboratory of Pathogen and Immunity, Shenzhen, China
- Hangzhou Center for Disease and Control Microbiology Lab, Zhejiang, China
- National Institute of Health, Nonthaburi, Thailand
Data sharing through GISAID (continued)
- National Institute of Infectious Diseases, Tokyo, Japan
- Korea Centers for Disease Control & Prevention, Cheongju, Korea
- National Public Health Laboratory, Singapore
- US Centers for Disease Control and Prevention, Atlanta, USA
- Institut Pasteur, Paris, France
- Respiratory Virus Unit, Microbiology Services Colindale, Public Health England
- Department of Virology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- University of Melbourne, Peter Doherty Institute for Infection & Immunity, Melbourne, Australia
- Victorian Infectious Disease Reference Laboratory, Melbourne, Australia
Almost real-time with many genomes shared within 3-6 days of sampling
Scientific communication surrounding outbreak has completely flipped with
everything posted to bioRxiv, modeling groups posting live analyses and
crowd-sourced line lists 🙌🏻
This communication between academics and public health officials has spilled
over with huge interest from general public
This is having knock-on effects on science communication and spread of
misinformation
Moving forward
- Epidemic spread still appears to be sustained with estimates of R0 between
1.5-3.5 and epidemic doubling time of ~6 days
- We have not yet had time
to ascertain effects of intervention measures, but my hope for containment
is slim
- Biggest question for me now surrounds infection-to-fatality ratio
- I expect genomic data to be most immediately useful to help pin down
emerging community transmission
Acknowledgements
Bedford Lab:
Alli Black,
John Huddleston,
James Hadfield,
Katie Kistler,
Louise Moncla,
Maya Lewinsohn,
Thomas Sibley,
Jover Lee,
Kairsten Fay,
Misja Ilcisin,
Nicola Müller,
Marlin Figgins
Ebola in West Africa: Gytis Dudas, Andrew Rambaut, Luiz Carvalho, Philippe Lemey,
Marc Suchard, Andrew Tatem
Nextstrain: Richard Neher, James Hadfield, Emma Hodcroft, Tom Sibley,
John Huddleston, Sidney Bell, Barney Potter, Colin Megill, Charlton Callender
Ebola in DRC: James Hadfield, Allison Black, Eddy Kinganda Lusamaki,
Placide Mbala-Kingebeni, Catherine Pratt, Mike Wiley, Jean-Jacques Muyembe Tamfum,
Steve Ahuka-Mundeke, Daniel Mukadi, Gustavo Palacios, Amadou Sall, Ousmane Faye,
Eric Delaporte, Martine Peeters, David Blazes, Cecile Viboud, David Spiro
Novel coronavirus: data producers from all over the world, GISAID, Virological.org