AI Article Synopsis
- The first deep sequencing method was introduced in 2005 and quickly gained popularity for studying genetic diversity in viruses, particularly RNA viruses, due to falling costs and increasing data availability.
- This method provides detailed insights into viral epidemiology and evolution, highlighting genetic changes in viral populations through high-resolution data.
- The review focuses on various deep sequencing platforms used in viral studies and examines their applications in understanding viral evolution, drug resistance, and immune responses, making them essential tools in virology research.
Article Abstract
The first deep sequencing method was announced in 2005. Due to an increasing number of sequencing data and a reduction in the costs of each sequencing dataset, this innovative technique was soon applied to genetic investigations of viral genome diversity in various viruses, particularly RNA viruses. These deep sequencing findings documented viral epidemiology and evolution and provided high-resolution data on the genetic changes in viral populations. Here, we review deep sequencing platforms that have been applied in viral quasispecies studies. Further, we discuss recent deep sequencing studies on viral inter- and intrahost evolution, drug resistance, and humoral immune selection, especially in emerging and re-emerging viruses. Deep sequencing methods are becoming the standard for providing comprehensive results of viral population diversity, and their applications are discussed.
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| http://dx.doi.org/10.1016/j.jviromet.2019.01.013 | DOI Listing |
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