PHYLOSCANNER: Inferring Transmission from Within- and Between-Host Pathogen Genetic Diversity
Author(s) -
Chris Wymant,
Matthew Hall,
Oliver Ratmann,
David Bonsall,
Tanya Golubchik,
Mariateresa de Cesare,
Astrid Gall,
Marion Cornelissen,
Christophe Fraser
Publication year - 2017
Publication title -
molecular biology and evolution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.637
H-Index - 218
eISSN - 1537-1719
pISSN - 0737-4038
DOI - 10.1093/molbev/msx304
Subject(s) - minion , biology , nanopore sequencing , pathogen , host (biology) , transmission (telecommunications) , genome , genomics , genetics , evolutionary biology , computational biology , gene , electrical engineering , engineering
A central feature of pathogen genomics is that different infectious particles (virions and bacterial cells) within an infected individual may be genetically distinct, with patterns of relatedness among infectious particles being the result of both within-host evolution and transmission from one host to the next. Here, we present a new software tool, phyloscanner, which analyses pathogen diversity from multiple infected hosts. phyloscanner provides unprecedented resolution into the transmission process, allowing inference of the direction of transmission from sequence data alone. Multiply infected individuals are also identified, as they harbor subpopulations of infectious particles that are not connected by within-host evolution, except where recombinant types emerge. Low-level contamination is flagged and removed. We illustrate phyloscanner on both viral and bacterial pathogens, namely HIV-1 sequenced on Illumina and Roche 454 platforms, HCV sequenced with the Oxford Nanopore MinION platform, and Streptococcus pneumoniae with sequences from multiple colonies per individual. phyloscanner is available from https://github.com/BDI-pathogens/phyloscanner.
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