An Assessment of Amplicon-Sequencing Based Method for Viral Intrahost Analysis
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RNA virus features the high per-generation mutation rate, resulting in highly diversified population, which determines viral phenotypes and fitness (Domingo et al.2012). The development of deep sequencing and bioinformatic techniques paves the way to study viral population genetics at an intrahost level, and has provided new insights into viral evolution. In a study conducted by Lakdawala et al. (2015), viral intrahost analysis was applied to monitor rapid selection of influenza virus with functional mutations. With a similar method on seasonal influenza virus, Debbink and colleagues have examined the viral intrahost heterogeneity and claimed that vaccine-induced immunity had minor impact on antigenic drift (Debbink et al.2017). Particularly, in combating emerging outbreaks, the intrahost analyses have also been conducted to investigate the evolution of infectious disease pathogens, including the Ebola virus (EBOV) in West Africa (Ni et al.2016), Zika virus (ZIKV)...
This work was supported in part by grants from the National Natural Science Foundation of China (91631110, 81571956 and U1435222). M.N was supported by the Beijing Nova Program (Z181100006218114).
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Conflict of interest
The authors declare that they have no conflict of interest.
Animal and Human Rights Statement
This article does not contain any studies with human or animal subjects performed by any of the authors.