Deep mining of the Sequence Read Archive reveals major genetic innovations in coronaviruses and other nidoviruses of aquatic vertebrates

• Verfasst von: Lauber, Chris [VerfasserIn]
• Verfasst von: Zhang, Xiaoyu [VerfasserIn]
• Verfasst von: Vaas, Josef [VerfasserIn]
• Verfasst von: Klingler, Franziska [VerfasserIn]
• Verfasst von: Mutz, Pascal [VerfasserIn]
• Verfasst von: Dubin, Arseny [VerfasserIn]
• Verfasst von: Pietschmann, Thomas [VerfasserIn]
• Verfasst von: Roth, Olivia [VerfasserIn]
• Verfasst von: Neuman, Benjamin W. [VerfasserIn]
• Verfasst von: Gorbalenya, Alexander E. [VerfasserIn]
• Verfasst von: Bartenschlager, Ralf [VerfasserIn]
• Verfasst von: Seitz, Stefan [VerfasserIn]
• Titel: Deep mining of the Sequence Read Archive reveals major genetic innovations in coronaviruses and other nidoviruses of aquatic vertebrates
• Verf.angabe: Chris Lauber, Xiaoyu Zhang, Josef Vaas, Franziska Klingler, Pascal Mutz, Arseny Dubin, Thomas Pietschmann, Olivia Roth, Benjamin W. Neuman, Alexander E. Gorbalenya, Ralf Bartenschlager, Stefan Seitz
• E-Jahr: 2024
• Jahr: April 22, 2024
• Umfang: 32 S.
• Illustrationen: Illustrationen
• Fussnoten: Gesehen am 28.10.2024
• Titel Quelle: Enthalten in: Public Library of SciencePLoS pathogens
• Ort Quelle: Lawrence, Kan. : PLoS, 2005
• Jahr Quelle: 2024
• Band/Heft Quelle: 20(2024), 4, Artikel-ID e1012163, Seite 1-32
• ISSN Quelle: 1553-7374
• DOI: doi:10.1371/journal.ppat.1012163
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Amphibian genomics
• Sach-SW: Coronaviruses
• Sach-SW: Fish genomics
• Sach-SW: Phylogenetic analysis
• Sach-SW: Protein domains
• Sach-SW: RNA viruses
• Sach-SW: Vertebrates
• Sach-SW: Viral genomics
• K10plus-PPN: 1907019111

Abstract

Virus discovery by genomics and metagenomics empowered studies of viromes, facilitated characterization of pathogen epidemiology, and redefined our understanding of the natural genetic diversity of viruses with profound functional and structural implications. Here we employed a data-driven virus discovery approach that directly queries unprocessed sequencing data in a highly parallelized way and involves a targeted viral genome assembly strategy in a wide range of sequence similarity. By screening more than 269,000 datasets of numerous authors from the Sequence Read Archive and using two metrics that quantitatively assess assembly quality, we discovered 40 nidoviruses from six virus families whose members infect vertebrate hosts. They form 13 and 32 putative viral subfamilies and genera, respectively, and include 11 coronaviruses with bisegmented genomes from fishes and amphibians, a giant 36.1 kilobase coronavirus genome with a duplicated spike glycoprotein (S) gene, 11 tobaniviruses and 17 additional corona-, arteri-, cremega-, nanhypo- and nangoshaviruses. Genome segmentation emerged in a single evolutionary event in the monophyletic lineage encompassing the subfamily Pitovirinae. We recovered the bisegmented genome sequences of two coronaviruses from RNA samples of 69 infected fishes and validated the presence of poly(A) tails at both segments using 3’RACE PCR and subsequent Sanger sequencing. We report a genetic linkage between accessory and structural proteins whose phylogenetic relationships and evolutionary distances are incongruent with the phylogeny of replicase proteins. We rationalize these observations in a model of inter-family S recombination involving at least five ancestral corona- and tobaniviruses of aquatic hosts. In support of this model, we describe an individual fish co-infected with members from the families Coronaviridae and Tobaniviridae. Our results expand the scale of the known extraordinary evolutionary plasticity in nidoviral genome architecture and call for revisiting fundamentals of genome expression, virus particle biology, host range and ecology of vertebrate nidoviruses.