Author:
Wymant Chris,Hall Matthew,Ratmann Oliver,Bonsall David,Golubchik Tanya,de Cesare Mariateresa,Gall Astrid,Cornelissen Marion,Fraser Christophe
Abstract
AbstractA central feature of pathogen genomics is that different infectious particles (virions, bacterial cells, etc.) within an infected individual may be genetically distinct, with patterns of relatedness amongst 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 harbour 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.
Publisher
Cold Spring Harbor Laboratory
Reference44 articles.
1. Trimmomatic: a flexible trimmer for Illumina sequence data
2. Bonsall D , Ansari MA , Ip C , Trebes A , Brown A , Klenerman P , Buck D , null N , Piazza P , Barnes E , et al. 2015. ve-SEQ: Robust, unbiased enrichment for streamlined detection and whole-genome sequencing of HCV and other highly diverse pathogens [version 1; referees: 2 approved, 1 approved with reservations]. F1000Research 4.
3. Cornelissen M , Gall A , Vink M , Zorgdrager F , Binter Š , Edwards S , Jurriaans S , Bakker M , Ong SH , Gras L , et al. 2016. From clinical sample to complete genome: Comparing methods for the extraction of HIV-1 RNA for high-throughput deep sequencing. Virus Research.
4. HIV-1 Dual Infection Is Associated With Faster CD4+ T-Cell Decline in a Cohort of Men With Primary HIV Infection
Cited by
6 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献