A single-cell view on alga-virus interactions reveals sequential transcriptional programs and infection states

dc.contributor.authorKu, Chuan
dc.contributor.authorSheyn, Uri
dc.contributor.authorSebé-Pedrós, Arnau
dc.contributor.authorBen-Dor, Shifra
dc.contributor.authorSchatz, Daniella
dc.contributor.authorTanay, Amos
dc.contributor.authorRosenwasser, Shilo
dc.contributor.authorVardi, Assaf
dc.date.accessioned2022-06-13T08:55:47Z
dc.date.available2022-06-13T08:55:47Z
dc.date.issued2020
dc.description.abstractThe discovery of giant viruses infecting eukaryotes from diverse ecosystems has revolutionized our understanding of the evolution of viruses and their impact on protist biology, yet knowledge on their replication strategies and transcriptome regulation remains limited. Here, we profile single-cell transcriptomes of the globally distributed microalga Emiliania huxleyi and its specific giant virus during infection. We detected profound heterogeneity in viral transcript levels among individual cells. Clustering single cells based on viral expression profiles enabled reconstruction of the viral transcriptional trajectory. Reordering cells along this path unfolded highly resolved viral genetic programs composed of genes with distinct promoter elements that orchestrate sequential expression. Exploring host transcriptome dynamics across the viral infection states revealed rapid and selective shutdown of protein-encoding nuclear transcripts, while the plastid and mitochondrial transcriptomes persisted into later stages. Single-cell RNA-seq opens a new avenue to unravel the life cycle of giant viruses and their unique hijacking strategies.
dc.description.sponsorshipThis work was supported by the European Research Council Consolidator Grant (CoG) (VIROCELLSPHERE consolidator grant no. 681715; A.V.) and the European Molecular Biology Organization Long-Term Fellowship (ALTF 1172-2016; C.K.)
dc.format.mimetypeapplication/pdf
dc.identifier.citationKu C, Sheyn U, Sebé-Pedrós A, Ben-Dor S, Schatz D, Tanay A et al. A single-cell view on alga-virus interactions reveals sequential transcriptional programs and infection states. Sci Adv. 2020 May 20;6(21):eaba4137. DOI:10.1126/sciadv.aba4137
dc.identifier.doihttp://dx.doi.org/10.1126/sciadv.aba4137
dc.identifier.issn2375-2548
dc.identifier.urihttp://hdl.handle.net/10230/53470
dc.language.isoeng
dc.publisherAmerican Association for the Advancement of Science (AAAS)
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/681715
dc.rights© 2020 Chuan Ku et al, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC)
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.subject.otherGenètica
dc.subject.otherVirus
dc.subject.otherInfecció
dc.titleA single-cell view on alga-virus interactions reveals sequential transcriptional programs and infection states
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/publishedVersion

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