仆从
生物
纳米孔测序
病菌
寄主(生物学)
传输(电信)
基因组
基因组学
遗传学
进化生物学
计算生物学
基因
电气工程
工程类
作者
Chris Wymant,Matthew Hall,Oliver Ratmann,David Bonsall,Tanya Golubchik,Mariateresa de Cesare,Astrid Gall,Marion Cornelissen,Christophe Fraser
标识
DOI:10.1093/molbev/msx304
摘要
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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