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PHYLOSCANNER: Inferring Transmission from Within- and Between-Host Pathogen Genetic Diversity.

Authors :
Wymant, Chris
Hall, Matthew
Ratmann, Oliver
Bonsall, David
Golubchik, Tanya
Cesare, Mariateresa de
Gall, Astrid
Cornelissen, Marion
Fraser, Christophe
Consortium, STOP-HCV
Source :
Molecular Biology & Evolution; Mar2018, Vol. 35 Issue 3, p719-733, 15p
Publication Year :
2018

Abstract

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
07374038
Volume :
35
Issue :
3
Database :
Complementary Index
Journal :
Molecular Biology & Evolution
Publication Type :
Academic Journal
Accession number :
128206192
Full Text :
https://doi.org/10.1093/molbev/msx304