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Detection of Ancient Viruses and Long-Term Viral Evolution

1
Human Genetics Laboratory, National Institute of Genetics, Mishima 411-8540, Japan
2
Department of Genetics, School of Life Science, The Graduate University for Advanced Studies (SOKENDAI), Mishima 411-8540, Japan
*
Author to whom correspondence should be addressed.
Academic Editors: Franziska Hufsky, Alba Pérez-Cataluña, Walter Randazzo, Gloria Sanchez, Fernando González-Candelas and Manja Marz
Viruses 2022, 14(6), 1336; https://doi.org/10.3390/v14061336
Received: 30 April 2022 / Revised: 15 June 2022 / Accepted: 16 June 2022 / Published: 18 June 2022
(This article belongs to the Special Issue Virus Bioinformatics 2022)
The COVID-19 outbreak has reminded us of the importance of viral evolutionary studies as regards comprehending complex viral evolution and preventing future pandemics. A unique approach to understanding viral evolution is the use of ancient viral genomes. Ancient viruses are detectable in various archaeological remains, including ancient people’s skeletons and mummified tissues. Those specimens have preserved ancient viral DNA and RNA, which have been vigorously analyzed in the last few decades thanks to the development of sequencing technologies. Reconstructed ancient pathogenic viral genomes have been utilized to estimate the past pandemics of pathogenic viruses within the ancient human population and long-term evolutionary events. Recent studies revealed the existence of non-pathogenic viral genomes in ancient people’s bodies. These ancient non-pathogenic viruses might be informative for inferring their relationships with ancient people’s diets and lifestyles. Here, we reviewed the past and ongoing studies on ancient pathogenic and non-pathogenic viruses and the usage of ancient viral genomes to understand their long-term viral evolution. View Full-Text
Keywords: ancient DNA; ancient RNA; PCR; NGS; ancient virus; ancient virome; bioinformatics; viral evolution; TDRP ancient DNA; ancient RNA; PCR; NGS; ancient virus; ancient virome; bioinformatics; viral evolution; TDRP
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MDPI and ACS Style

Nishimura, L.; Fujito, N.; Sugimoto, R.; Inoue, I. Detection of Ancient Viruses and Long-Term Viral Evolution. Viruses 2022, 14, 1336. https://doi.org/10.3390/v14061336

AMA Style

Nishimura L, Fujito N, Sugimoto R, Inoue I. Detection of Ancient Viruses and Long-Term Viral Evolution. Viruses. 2022; 14(6):1336. https://doi.org/10.3390/v14061336

Chicago/Turabian Style

Nishimura, Luca, Naoko Fujito, Ryota Sugimoto, and Ituro Inoue. 2022. "Detection of Ancient Viruses and Long-Term Viral Evolution" Viruses 14, no. 6: 1336. https://doi.org/10.3390/v14061336

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