Single-Virion Sequencing Of Lamivudine Treated HBV Populations Reveal Population Evolution Dynamics And Demographic History [article]

Yuan O Zhu, Pauline PK Aw, Paola Florez de Sessions, Shuzhen Hong, Lee Xian See, Lewis Z Hong, Andreas Wilm, Chen Hao Li, Stephane Hue, Seng Gee Lim, Niranjan Nagarajan, William F Burkholder (+1 others)
2017 bioRxiv   pre-print
Viral populations are complex, dynamic, and fast evolving. The evolution of groups of closely related viruses in a competitive environment is termed quasispecies. To fully understand the role that quasispecies play in viral evolution, characterizing the trajectories of viral genotypes in an evolving population is the key. In particular, long-range haplotype information for thousands of individual viruses is critical; yet generating this information is non-trivial. Popular deep sequencing
more » ... generate relatively short reads that do not preserve linkage information, while third generation sequencing methods have higher error rates that make detection of low frequency mutations a bioinformatics challenge. Here we applied BAsE-Seq, an Illumina-based single-virion sequencing technology, to eight samples from four chronic hepatitis B (CHB) patients, once before antiviral treatment and once after viral rebound due to resistance. We obtained 248-8,796 single-virion sequences per sample, which allowed us to find evidence for both hard and soft selective sweeps. We were also able to reconstruct population demographic history that was independently verified by clinically collected data. We further verified four of the samples independently on PacBio and Illumina sequencers. Overall, we showed that single-virion sequencing yields insight into viral evolution and population dynamics in an efficient and high throughput manner. We believe that single-virion sequencing is widely applicable to the study of viral evolution in the context of drug resistance, differentiating between soft or hard selective sweeps, and the reconstruction of intra-host viral population demographic history.
doi:10.1101/129023 fatcat:i2kxc2biujd45b2aoorkpdlw24