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

The 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 t...

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Autores principales: Ku, Chuan, Sheyn, Uri, Sebé-Pedrós, Arnau, Ben-Dor, Shifra, Schatz, Daniella, Tanay, Amos, Rosenwasser, Shilo, Vardi, Assaf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7239649/
https://www.ncbi.nlm.nih.gov/pubmed/32490206
http://dx.doi.org/10.1126/sciadv.aba4137
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author Ku, Chuan
Sheyn, Uri
Sebé-Pedrós, Arnau
Ben-Dor, Shifra
Schatz, Daniella
Tanay, Amos
Rosenwasser, Shilo
Vardi, Assaf
author_facet Ku, Chuan
Sheyn, Uri
Sebé-Pedrós, Arnau
Ben-Dor, Shifra
Schatz, Daniella
Tanay, Amos
Rosenwasser, Shilo
Vardi, Assaf
author_sort Ku, Chuan
collection PubMed
description The 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.
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spelling pubmed-72396492020-06-01 A single-cell view on alga-virus interactions reveals sequential transcriptional programs and infection states Ku, Chuan Sheyn, Uri Sebé-Pedrós, Arnau Ben-Dor, Shifra Schatz, Daniella Tanay, Amos Rosenwasser, Shilo Vardi, Assaf Sci Adv Research Articles The 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. American Association for the Advancement of Science 2020-05-20 /pmc/articles/PMC7239649/ /pubmed/32490206 http://dx.doi.org/10.1126/sciadv.aba4137 Text en Copyright © 2020 The Authors, 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). http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (http://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.
spellingShingle Research Articles
Ku, Chuan
Sheyn, Uri
Sebé-Pedrós, Arnau
Ben-Dor, Shifra
Schatz, Daniella
Tanay, Amos
Rosenwasser, Shilo
Vardi, Assaf
A single-cell view on alga-virus interactions reveals sequential transcriptional programs and infection states
title A single-cell view on alga-virus interactions reveals sequential transcriptional programs and infection states
title_full A single-cell view on alga-virus interactions reveals sequential transcriptional programs and infection states
title_fullStr A single-cell view on alga-virus interactions reveals sequential transcriptional programs and infection states
title_full_unstemmed A single-cell view on alga-virus interactions reveals sequential transcriptional programs and infection states
title_short A single-cell view on alga-virus interactions reveals sequential transcriptional programs and infection states
title_sort single-cell view on alga-virus interactions reveals sequential transcriptional programs and infection states
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7239649/
https://www.ncbi.nlm.nih.gov/pubmed/32490206
http://dx.doi.org/10.1126/sciadv.aba4137
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