Virus evolution within individuals and across continents


JT McCrone
Fred Hutch Cancer Center
Aug 22, 2024
CompBio summer retreat
Camp Casey, Whidbey Island, Washington

Realtime outbreak investigation

2018-2020 North Kivu Ebola virus epidemic

  • August 1, 2018 - June 25, 2020
  • Over 3,000 cases
  • 351 sequences - August, 2019
Phylogenetics reveals underlying transmission process

Future directions

Phylodynamics for epidemiological forecasting

Multi-pathogen models of viral surveillance

SFS

Phylogenetic methods in pandemic-sized datasets

Increased efficiency with simplified likelihood

Tractable phylogenetics for the pandemic

Computational time

Memory usage

Within-country spread

McCrone et al., 2022

Future directions

Strengths and limitations of simple approximations

Conner - Bioinformatic analyst

Efficient exploration of tree space

Matsumoto et al., 2021

Kieran (right)- Postdoc

Virus evolution within and between humans hosts

RNA virus evolution - Go extinct another day

  • Error prone RNA dependent RNA polymerase
  • High mutation rate (~10-4) mutations/nucleotide replicated (~1 mutation in every genome)
  • Rapid, adaptive evolution thwarts antiviral drugs, vaccine programs, and prior immunity.

Credit: Adam Lauring

Transmission imposes a strict bottleneck

Each infection is an independent exploration of sequence space

By Randy Olson - Own work, CC BY-SA 3.0

Future directions

Simple approaches

Xue and Bloom, 2020

New models

Benegas et al., 2024 and Sanabria et al. 2023

Cristian - Grad student

The McCrone lab

Ebola latency

Ebola virus

  • (-) sense RNA virus ~18 Kb genome
  • 17 independent spillover events from a poorly characterized reservoir
  • Wide-spread mortality observed among great apes in Gabon and the Republic of Congo during the 1990s
  • Anti-Ebola antibodies and viral RNA have been detected in multiple bat species

Ebola evolution in humans

Keita, A. K, et al., 2021

Rate heterogeneity between outbreaks follows a similar pattern

A latent branch-rate model

evolutionary rate = 0| μ

latent $ \overset{\mbox{$\lambda$}}{\Leftrightarrow}$ replicating

Latent branches date back to initial epidemic wave

Geographic implications of 'slow-down' events

Simulations suggest more latent lineages exist

Hypothesis: Ebola dynamics in the reservoir

  • Active transmission from 1970-2014 seeding latent infections
  • Recent outbreaks (2014-present) stem from reactivated infections
  • Long-lived reservoir host
  • Dynamic spill-over threat
  • Unknown mechanism for latency

Thank you

University of Edinburgh

  • Andrew Rambaut
  • Ifeayni Omah
  • Verity Hill
  • Ben Jackson
  • Áine O'Toole
  • Rachel Colquhoun
  • Emily Scher
  • Shawn Yu
  • Guy Baele -KU Leuven

McCrone lab

  • Conner Copeland
  • Cristian Ovadiuc
  • Kieran Collienne

Bedford lab

  • Nicola Muller

Matsen Group

  • Eric Matsen
  • Joseph Brew