Inferring Transmission Bottleneck Size from Viral Sequence Data Using a Novel Haplotype Reconstruction Method

Author:

Ghafari Mahan123,Lumby Casper K.1ORCID,Weissman Daniel B.2,Illingworth Christopher J. R.145ORCID

Affiliation:

1. Department of Genetics, University of Cambridge, Cambridge, United Kingdom

2. Department of Physics, Emory University, Atlanta, Georgia, USA

3. Department of Zoology, University of Oxford, Oxford, United Kingdom

4. Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, United Kingdom

5. Department of Computer Science, Institute of Biotechnology, University of Helsinki, Helsinki, Finland

Abstract

Viral populations undergo a repeated cycle of within-host growth followed by transmission. Viral evolution is affected by each stage of this cycle. The number of viral particles transmitted from one host to another, known as the transmission bottleneck, is an important factor in determining how the evolutionary dynamics of the population play out, restricting the extent to which the evolved diversity of the population can be passed from one host to another. Previous study of viral sequence data has suggested that the transmission bottleneck size for influenza A transmission between human hosts is small. Reevaluating these data using a novel and improved method, we largely confirm this result, albeit that we infer a slightly higher bottleneck size in some cases, of between 1 and 13 virions. While a tight bottleneck operates in human influenza transmission, it is not extreme in nature; some diversity can be meaningfully retained between hosts.

Funder

Simons Foundation

Isaac Newton Trust

Helsingin Yliopisto

Wellcome Trust

Publisher

American Society for Microbiology

Subject

Virology,Insect Science,Immunology,Microbiology

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