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Bipartite Network Analysis of Gene Sharings in the Microbial World

Extensive microbial gene flows affect how we understand virology, microbiology, medical sciences, genetic modification, and evolutionary biology. Phylogenies only provide a narrow view of these gene flows: plasmids and viruses, lacking core genes, cannot be attached to cellular life on phylogenetic...

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Detalles Bibliográficos
Autores principales: Corel, Eduardo, Méheust, Raphaël, Watson, Andrew K, McInerney, James O, Lopez, Philippe, Bapteste, Eric
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5888944/
https://www.ncbi.nlm.nih.gov/pubmed/29346651
http://dx.doi.org/10.1093/molbev/msy001
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author Corel, Eduardo
Méheust, Raphaël
Watson, Andrew K
McInerney, James O
Lopez, Philippe
Bapteste, Eric
author_facet Corel, Eduardo
Méheust, Raphaël
Watson, Andrew K
McInerney, James O
Lopez, Philippe
Bapteste, Eric
author_sort Corel, Eduardo
collection PubMed
description Extensive microbial gene flows affect how we understand virology, microbiology, medical sciences, genetic modification, and evolutionary biology. Phylogenies only provide a narrow view of these gene flows: plasmids and viruses, lacking core genes, cannot be attached to cellular life on phylogenetic trees. Yet viruses and plasmids have a major impact on cellular evolution, affecting both the gene content and the dynamics of microbial communities. Using bipartite graphs that connect up to 149,000 clusters of homologous genes with 8,217 related and unrelated genomes, we can in particular show patterns of gene sharing that do not map neatly with the organismal phylogeny. Homologous genes are recycled by lateral gene transfer, and multiple copies of homologous genes are carried by otherwise completely unrelated (and possibly nested) genomes, that is, viruses, plasmids and prokaryotes. When a homologous gene is present on at least one plasmid or virus and at least one chromosome, a process of “gene externalization,” affected by a postprocessed selected functional bias, takes place, especially in Bacteria. Bipartite graphs give us a view of vertical and horizontal gene flow beyond classic taxonomy on a single very large, analytically tractable, graph that goes beyond the cellular Web of Life.
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spelling pubmed-58889442018-04-11 Bipartite Network Analysis of Gene Sharings in the Microbial World Corel, Eduardo Méheust, Raphaël Watson, Andrew K McInerney, James O Lopez, Philippe Bapteste, Eric Mol Biol Evol Discoveries Extensive microbial gene flows affect how we understand virology, microbiology, medical sciences, genetic modification, and evolutionary biology. Phylogenies only provide a narrow view of these gene flows: plasmids and viruses, lacking core genes, cannot be attached to cellular life on phylogenetic trees. Yet viruses and plasmids have a major impact on cellular evolution, affecting both the gene content and the dynamics of microbial communities. Using bipartite graphs that connect up to 149,000 clusters of homologous genes with 8,217 related and unrelated genomes, we can in particular show patterns of gene sharing that do not map neatly with the organismal phylogeny. Homologous genes are recycled by lateral gene transfer, and multiple copies of homologous genes are carried by otherwise completely unrelated (and possibly nested) genomes, that is, viruses, plasmids and prokaryotes. When a homologous gene is present on at least one plasmid or virus and at least one chromosome, a process of “gene externalization,” affected by a postprocessed selected functional bias, takes place, especially in Bacteria. Bipartite graphs give us a view of vertical and horizontal gene flow beyond classic taxonomy on a single very large, analytically tractable, graph that goes beyond the cellular Web of Life. Oxford University Press 2018-04 2018-01-15 /pmc/articles/PMC5888944/ /pubmed/29346651 http://dx.doi.org/10.1093/molbev/msy001 Text en © The Author(s) 2018. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Discoveries
Corel, Eduardo
Méheust, Raphaël
Watson, Andrew K
McInerney, James O
Lopez, Philippe
Bapteste, Eric
Bipartite Network Analysis of Gene Sharings in the Microbial World
title Bipartite Network Analysis of Gene Sharings in the Microbial World
title_full Bipartite Network Analysis of Gene Sharings in the Microbial World
title_fullStr Bipartite Network Analysis of Gene Sharings in the Microbial World
title_full_unstemmed Bipartite Network Analysis of Gene Sharings in the Microbial World
title_short Bipartite Network Analysis of Gene Sharings in the Microbial World
title_sort bipartite network analysis of gene sharings in the microbial world
topic Discoveries
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5888944/
https://www.ncbi.nlm.nih.gov/pubmed/29346651
http://dx.doi.org/10.1093/molbev/msy001
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