Current trends in <scp>RNA</scp> virus detection through metatranscriptome sequencing data-Reference-Cited by-同舟云学术

Current trends in RNA virus detection through metatranscriptome sequencing data

Published:2023-05-20 Issue:6 Volume:13 Page:992-1000
ISSN:2211-5463
Container-title:FEBS Open Bio
language:en
Short-container-title:FEBS Open Bio

Author:

Nakagawa So¹²³⁴^ORCID,Sakaguchi Shoichi⁵,Ogura Atsushi⁶^ORCID,Mineta Katsuhiko⁷⁸⁹^ORCID,Endo Toshinori¹⁰,Suzuki Yoshiyuki¹¹,Gojobori Takashi⁷⁹

Affiliation:

1. Department of Molecular Life Science Tokai University School of Medicine Kanagawa Japan

2. Division of Genome Sciences, Institute of Medical Sciences Tokai University Kanagawa Japan

3. Division of Interdisciplinary Merging of Health Research, Micro/Nano Technology Center Tokai University Kanagawa Japan

4. Bioinformation and DDBJ Center National Institute of Genetics Mishima Japan

5. Department of Microbiology and Infection Control, Faculty of Medicine Osaka Medical and Pharmaceutical University Japan

6. Graduate School of Bioscience Nagahama Institute of Bioscience and Technology Japan

7. Computational Bioscience Research Center (CBRC) King Abdullah University of Science and Technology (KAUST) Thuwal Saudi Arabia

8. Research Organization for Nano & Life Innovation Waseda University Tokyo Japan

9. Marine Open Innovation Institute (MaOI) Shizuoka Japan

10. Faculty of Information Science and Technology Hokkaido University Sapporo Japan

11. Graduate School of Science Nagoya City University Japan

Abstract

With advances in sequencing technology, metatranscriptome sequencing from a variety of environmental and biological sources has revealed the existence of various previously unknown RNA viruses. This review presents recent major RNA virome studies sampled from invertebrate and vertebrate species as well as aquatic environments. In particular, we focus on severe acute respiratory syndrome coronavirus‐2 (SARS‐CoV‐2) and related RNA virus identification through metatranscriptome sequencing analyses. Recently developed bioinformatics software and databases for RNA virus identification are introduced. A relationship between newly identified RNA viruses and endogenous viral elements in host genomes is also discussed.

Funder

Core Research for Evolutional Science and Technology

Japan Agency for Medical Research and Development

Japan Society for the Promotion of Science

Publisher

Wiley

Subject

General Biochemistry, Genetics and Molecular Biology

Link

https://febs.onlinelibrary.wiley.com/doi/pdf/10.1002/2211-5463.13626

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