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Unresolved advantages of multipartitism in spatially structured environments
Multipartite viruses have segmented genomes and package each of their genome segments individually into distinct virus particles. Multipartitism is common among plant viruses, but why this apparently costly genome organization and packaging has evolved remains unclear. Recently Zhang and colleagues...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7882214/ https://www.ncbi.nlm.nih.gov/pubmed/33614160 http://dx.doi.org/10.1093/ve/veab004 |
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author | Zwart, Mark P Blanc, Stéphane Johnson, Marcelle Manrubia, Susanna Michalakis, Yannis Sofonea, Mircea T |
author_facet | Zwart, Mark P Blanc, Stéphane Johnson, Marcelle Manrubia, Susanna Michalakis, Yannis Sofonea, Mircea T |
author_sort | Zwart, Mark P |
collection | PubMed |
description | Multipartite viruses have segmented genomes and package each of their genome segments individually into distinct virus particles. Multipartitism is common among plant viruses, but why this apparently costly genome organization and packaging has evolved remains unclear. Recently Zhang and colleagues developed network epidemiology models to study the epidemic spread of multipartite viruses and their distribution over plant and animal hosts (Phys. Rev. Lett. 2019, 123, 138101). In this short commentary, we call into question the relevance of these results because of key model assumptions. First, the model of plant hosts assumes virus transmission only occurs between adjacent plants. This assumption overlooks the basic but imperative fact that most multipartite viruses are transmitted over variable distances by mobile animal vectors, rendering the model results irrelevant to differences between plant and animal hosts. Second, when not all genome segments of a multipartite virus are transmitted to a host, the model assumes an incessant latent infection occurs. This is a bold assumption for which there is no evidence to date, making the relevance of these results to understanding multipartitism questionable. |
format | Online Article Text |
id | pubmed-7882214 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-78822142021-02-18 Unresolved advantages of multipartitism in spatially structured environments Zwart, Mark P Blanc, Stéphane Johnson, Marcelle Manrubia, Susanna Michalakis, Yannis Sofonea, Mircea T Virus Evol Reflections Multipartite viruses have segmented genomes and package each of their genome segments individually into distinct virus particles. Multipartitism is common among plant viruses, but why this apparently costly genome organization and packaging has evolved remains unclear. Recently Zhang and colleagues developed network epidemiology models to study the epidemic spread of multipartite viruses and their distribution over plant and animal hosts (Phys. Rev. Lett. 2019, 123, 138101). In this short commentary, we call into question the relevance of these results because of key model assumptions. First, the model of plant hosts assumes virus transmission only occurs between adjacent plants. This assumption overlooks the basic but imperative fact that most multipartite viruses are transmitted over variable distances by mobile animal vectors, rendering the model results irrelevant to differences between plant and animal hosts. Second, when not all genome segments of a multipartite virus are transmitted to a host, the model assumes an incessant latent infection occurs. This is a bold assumption for which there is no evidence to date, making the relevance of these results to understanding multipartitism questionable. Oxford University Press 2021-01-25 /pmc/articles/PMC7882214/ /pubmed/33614160 http://dx.doi.org/10.1093/ve/veab004 Text en © The Author(s) 2021. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Reflections Zwart, Mark P Blanc, Stéphane Johnson, Marcelle Manrubia, Susanna Michalakis, Yannis Sofonea, Mircea T Unresolved advantages of multipartitism in spatially structured environments |
title | Unresolved advantages of multipartitism in spatially structured environments |
title_full | Unresolved advantages of multipartitism in spatially structured environments |
title_fullStr | Unresolved advantages of multipartitism in spatially structured environments |
title_full_unstemmed | Unresolved advantages of multipartitism in spatially structured environments |
title_short | Unresolved advantages of multipartitism in spatially structured environments |
title_sort | unresolved advantages of multipartitism in spatially structured environments |
topic | Reflections |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7882214/ https://www.ncbi.nlm.nih.gov/pubmed/33614160 http://dx.doi.org/10.1093/ve/veab004 |
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