Dengue antigenic relationships predict evolutionary dynamics
Sidney M. Bell1,2, Leah Katzelnick3,4, Trevor Bedford1
1Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA, 2Molecular and Cell Biology Program, University of Washington, Seattle, WA, USA, 3Division of Infectious Diseases and Vaccinology, School of Public Health, University of California, Berkeley, Berkeley, CA, USA, 4Department of Biology, University of Florida, Gainesville, FL, USA
Dengue virus (DENV) exists as four genetically distinct serotypes, each of which is also antigenically distinct: the immune response to primary infection can be either cross-protective or associated with severe disease upon heterotypic secondary infection. Each serotype is historically assumed to antigenically uniform. Recent analyses suggest that antigenic heterogeneity may exist within each serotype, but its source, extent and impact remain unclear. Here, we construct a phylogeny-based model to directly map antigenic change to underlying genetic divergence. We report moderate antigenic diversity within each serotype, and identify 12 antigenically distinct clades. We also quantify the impact of this antigenic heterogeneity on real-world DENV population dynamics. We find that antigenic fitness mediates fluctuations in DENV clade frequencies, although this appears to be driven by coarser serotype-level antigenic differences. These results provide a more nuanced understanding of dengue antigenic evolution, with important ramifications for vaccine design and epidemic preparedness.
Everything is Python 2.7 based. Python packages that are required can be installed via:
cd dengue-antigenic-dynamics/ pip install -r requirements
- Run the titer model via augur (repackaged portion of the Nextstrain pipeline) to build a viral phylogeny, assign antigenic change to specific branches, and infer clade frequencies.
- Run the fitness model to quantify population immunity over time, predict clade frequencies, and assess performance.
- Use the visualization notebooks to explore results and recreate all the figures from the paper.