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Updated: Apr 26, 2026

Determining 3'-Termini and Sequences of Nascent Single-Stranded Viral DNA Molecules during HIV-1 Reverse Transcription in Infected Cells
Published on: January 30, 2019
A new approach to determining whole viral genomic sequences including termini using a single deep sequencing run
Kendra J Alfson1, Michael W Beadles2, Anthony Griffiths1
1Department of Virology and Immunology, Texas Biomedical Research Institute, PO Box 760549, San Antonio, TX 78245, USA; Department of Microbiology and Immunology, University of Texas Health Science Center at San Antonio, Mail Code 7758, 7703 Floyd Curl Drive, San Antonio, TX 78229, USA.
Abstract:
Next-generation sequencing is now commonly used for a variety of applications in virology including virus discovery, investigation of quasispecies, viral evolution, metagenomics, and analyses of antiviral resistance. However, there are limitations with the current sample preparation methods used for deep sequencing of viral genomes, especially during de novo sequencing. For example, current methods are unable to capture the terminal sequences of viral genomes in an efficient and effective manner; data representing the 3' and 5' ends are typically insufficient. Methods such as Rapid Amplification of cDNA Ends address this issue but these methods can be time consuming, may require some prior knowledge of the viral sequence, and require multiple independent procedures. The current study outlines a sample preparation technique that overcomes some of these shortcomings. The method relied on random fragmentation with divalent cations and subsequent adapter ligation directly to RNA, rather than cDNA, to maximize the quality and quantity of terminal reads. The technique was tested on RNA samples from two different RNA viruses, Ebola virus and hepatitis C virus. This method permits rapid preparation of samples for deep sequencing while eliminating the use of sequence specific primers and captures the entire genome sequence, including the 5' and 3' ends. This could improve the efficiency of virus discovery projects where the terminal ends are unknown.
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