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Transmission trees on a known pathogen phylogeny: enumeration and sampling

Abstract:
One approach to the reconstruction of infectious disease transmission trees from pathogen genomic data has been to use a phylogenetic tree, reconstructed from pathogen sequences, and annotate its internal nodes to provide a reconstruction of which host each lineage was in at each point in time. If only one pathogen lineage can be transmitted to a new host (i.e., the transmission bottleneck is complete), this corresponds to partitioning the nodes of the phylogeny into connected regions, each of which represents evolution in an individual host. These partitions define the possible transmission trees that are consistent with a given phylogenetic tree. However, the mathematical properties of the transmission trees given a phylogeny remain largely unexplored. Here, we describe a procedure to calculate the number of possible transmission trees for a given phylogeny, and we then show how to uniformly sample from these transmission trees. The procedure is outlined for situations where one sample is available from each host and trees do not have branch lengths, and we also provide extensions for incomplete sampling, multiple sampling, and the application to time trees in a situation where limits on the period during which each host could have been infected and infectious are known. The sampling algorithm is available as an R package (STraTUS).
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1093/molbev/msz058

Authors


More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
Human Genetics Wt Centre
Role:
Author


Publisher:
Oxford University Press
Journal:
Molecular Biology and Evolution More from this journal
Volume:
36
Issue:
6
Pages:
1333–1343
Publication date:
2019-03-14
Acceptance date:
2019-03-05
DOI:
ISSN:
1537-1719


Keywords:
Pubs id:
pubs:982087
UUID:
uuid:7e3f053a-93c8-4718-9076-be145485e4ca
Local pid:
pubs:982087
Source identifiers:
982087
Deposit date:
2019-03-13

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