Evaluation of metatranscriptomic sequencing protocols to obtain full-length RNA virus genomes from mammalian tissues
Language English Country United States Media electronic-ecollection
Document type Journal Article
PubMed
40446024
PubMed Central
PMC12124746
DOI
10.1371/journal.pone.0324537
PII: PONE-D-24-46186
Knihovny.cz E-resources
- MeSH
- Genome, Viral * genetics MeSH
- Gene Library MeSH
- Humans MeSH
- RNA, Viral * genetics isolation & purification MeSH
- RNA Viruses * genetics MeSH
- Mammals virology MeSH
- Transcriptome * MeSH
- High-Throughput Nucleotide Sequencing * methods MeSH
- Animals MeSH
- Check Tag
- Humans MeSH
- Animals MeSH
- Publication type
- Journal Article MeSH
- Names of Substances
- RNA, Viral * MeSH
High-throughput sequencing technologies have advanced RNA virus genomics, but recovering viral genomes from mammalian tissues remains challenging due to the predominance of host RNA. We evaluated two metatranscriptomic workflows to address these challenges. Our results demonstrate that the methods differed significantly in performance, with Method B achieving a 5-fold increase in RNA yield and improved RNA integrity over Method A. These differences resulted in the recovery of 4 complete hepacivirus genomes with Method B compared to fragmented or incomplete genomes with Method A. Additionally, Method B's library preparation workflow, incorporating rRNA depletion, enhanced viral genome recovery by reducing host RNA background. Our novel approach integrates an optimized RNA purification protocol with a customized bioinformatics strategy for improved viral genome recovery. Overall, our findings highlight the critical role of optimized homogenization, RNA purification, and library preparation in metatranscriptomic workflows, facilitating the more effective RNA virus genome recovery from complex mammalian tissues.
EcoHealth Alliance New York New York United States of America
Evolutionary Ecology group Department of Biology University of Antwerp Antwerp Belgium
Institute of Vertebrate Biology The Czech Academy of Sciences Brno Czech Republic
Ruijin Hospital Shanghai Jiao Tong University School of Medicine Shanghai PR China
Spatial Epidemiology Lab Université Libre de Bruxelles Bruxelles Belgium
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