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Biology subjects

Hue, S.

Publications and source records attributed to Hue, S..

3 recordsLinked to original sources

Global genetic diversity of small ruminant lentiviruses, and a hypothesis regarding their pandemic spread.

Small ruminant lentiviruses (SRLVs) cause chronic, persistent infections in populations of domestic sheep and goats throughout the world. In this study, we use genomic data to investigate the origins and history of the SRLV pandemic. To explore the hypothesis that SRLV infection disseminated during Neolithic times, we performed a serology and DNA sequencing-based investigation of SRLVs diversity in the Fertile Crescent region, where domestication of sheep and goats is thought to have originally occurred. While we found an elevated level of viral genetic diversity compared to other regions of the world, we did not find unambiguous evidence that the Fertile Crescent region was the centre of the contemporary SRLV pandemic. We therefore examined historical reports to investigate the relationship between contemporary SRLV distribution and diversity and the emergence of SRLV-associated disease. Historical data suggested that the emergence of SRLV-associated disease might be associated with the long-distance export of exotic small ruminant breeds - in particular, karakul sheep from Central Asia - during the late 19th and early 20th centuries. Phylogeographic analysis could neither confirm nor refute this hypothesis. However, we anticipate that future accumulation of genomic data from SRLV strains found throughout the world may allow for a more definitive assessment. The openly available data and resources assembled in this study will facilitate future investigations in this area.\n\nImportanceViruses that cause chronic, persistent infections have circulated in animals for millions of years. However, many have only emerged as pathogens within the far shorter timeframe of recorded human history. It is important to understand the history of chronic viral infections in domestic animals, so that more effective control and eradication programs can be developed.

evolutionary biology

Using paired serology and surveillance data to quantify dengue transmission and control during a large outbreak in Fiji

Dengue is a major health burden, but it can be challenging to examine transmission dynamics and evaluate control measures because outbreaks depend on multiple factors, including human population structure, prior immunity and climate. We combined population-representative paired sera collected before and after the major 2013/14 dengue-3 outbreak in Fiji with surveillance data to determine how such factors influence dengue virus transmission and control in island settings. Our results suggested the 10-19 year-old age group had the highest risk of acquiring infection, but we did not find strong evidence that other demographic or environmental risk factors were linked to seroconversion. Mathematical modelling showed that temperature-driven variation in transmission and herd immunity could not fully explain observed dynamics. However, there was evidence of an additional reduction in transmission coinciding with a vector clean-up campaign, which may have contributed to the decline in cases and prevented transmission continuing into the following season.

epidemiology

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

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 methods 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.

evolutionary biology