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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2020
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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. |
format | Online Article Text |
id | pubmed-7239649 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
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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