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Current trends in RNA virus detection through metatranscriptome sequencing data

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 w...

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Autores principales: Nakagawa, So, Sakaguchi, Shoichi, Ogura, Atsushi, Mineta, Katsuhiko, Endo, Toshinori, Suzuki, Yoshiyuki, Gojobori, Takashi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10240339/
https://www.ncbi.nlm.nih.gov/pubmed/37163224
http://dx.doi.org/10.1002/2211-5463.13626
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author Nakagawa, So
Sakaguchi, Shoichi
Ogura, Atsushi
Mineta, Katsuhiko
Endo, Toshinori
Suzuki, Yoshiyuki
Gojobori, Takashi
author_facet Nakagawa, So
Sakaguchi, Shoichi
Ogura, Atsushi
Mineta, Katsuhiko
Endo, Toshinori
Suzuki, Yoshiyuki
Gojobori, Takashi
author_sort Nakagawa, So
collection PubMed
description 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.
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spelling pubmed-102403392023-06-06 Current trends in RNA virus detection through metatranscriptome sequencing data Nakagawa, So Sakaguchi, Shoichi Ogura, Atsushi Mineta, Katsuhiko Endo, Toshinori Suzuki, Yoshiyuki Gojobori, Takashi FEBS Open Bio Reviews 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. John Wiley and Sons Inc. 2023-05-20 /pmc/articles/PMC10240339/ /pubmed/37163224 http://dx.doi.org/10.1002/2211-5463.13626 Text en © 2023 The Authors. FEBS Open Bio published by John Wiley & Sons Ltd on behalf of Federation of European Biochemical Societies. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Reviews
Nakagawa, So
Sakaguchi, Shoichi
Ogura, Atsushi
Mineta, Katsuhiko
Endo, Toshinori
Suzuki, Yoshiyuki
Gojobori, Takashi
Current trends in RNA virus detection through metatranscriptome sequencing data
title Current trends in RNA virus detection through metatranscriptome sequencing data
title_full Current trends in RNA virus detection through metatranscriptome sequencing data
title_fullStr Current trends in RNA virus detection through metatranscriptome sequencing data
title_full_unstemmed Current trends in RNA virus detection through metatranscriptome sequencing data
title_short Current trends in RNA virus detection through metatranscriptome sequencing data
title_sort current trends in rna virus detection through metatranscriptome sequencing data
topic Reviews
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10240339/
https://www.ncbi.nlm.nih.gov/pubmed/37163224
http://dx.doi.org/10.1002/2211-5463.13626
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