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MetaPGN: a pipeline for construction and graphical visualization of annotated pangenome networks
Pangenome analyses facilitate the interpretation of genetic diversity and evolutionary history of a taxon. However, there is an urgent and unmet need to develop new tools for advanced pangenome construction and visualization, especially for metagenomic data. Here, we present an integrated pipeline,...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6251982/ https://www.ncbi.nlm.nih.gov/pubmed/30277499 http://dx.doi.org/10.1093/gigascience/giy121 |
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author | Peng, Ye Tang, Shanmei Wang, Dan Zhong, Huanzi Jia, Huijue Cai, Xianghang Zhang, Zhaoxi Xiao, Minfeng Yang, Huanming Wang, Jian Kristiansen, Karsten Xu, Xun Li, Junhua |
author_facet | Peng, Ye Tang, Shanmei Wang, Dan Zhong, Huanzi Jia, Huijue Cai, Xianghang Zhang, Zhaoxi Xiao, Minfeng Yang, Huanming Wang, Jian Kristiansen, Karsten Xu, Xun Li, Junhua |
author_sort | Peng, Ye |
collection | PubMed |
description | Pangenome analyses facilitate the interpretation of genetic diversity and evolutionary history of a taxon. However, there is an urgent and unmet need to develop new tools for advanced pangenome construction and visualization, especially for metagenomic data. Here, we present an integrated pipeline, named MetaPGN, for construction and graphical visualization of pangenome networks from either microbial genomes or metagenomes. Given either isolated genomes or metagenomic assemblies coupled with a reference genome of the targeted taxon, MetaPGN generates a pangenome in a topological network, consisting of genes (nodes) and gene-gene genomic adjacencies (edges) of which biological information can be easily updated and retrieved. MetaPGN also includes a self-developed Cytoscape plugin for layout of and interaction with the resulting pangenome network, providing an intuitive and interactive interface for full exploration of genetic diversity. We demonstrate the utility of MetaPGN by constructing Escherichia coli pangenome networks from five E. coli pathogenic strains and 760 human gut microbiomes,revealing extensive genetic diversity of E. coli within both isolates and gut microbial populations. With the ability to extract and visualize gene contents and gene-gene physical adjacencies of a specific taxon from large-scale metagenomic data, MetaPGN provides advantages in expanding pangenome analysis to uncultured microbial taxa. |
format | Online Article Text |
id | pubmed-6251982 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-62519822018-11-28 MetaPGN: a pipeline for construction and graphical visualization of annotated pangenome networks Peng, Ye Tang, Shanmei Wang, Dan Zhong, Huanzi Jia, Huijue Cai, Xianghang Zhang, Zhaoxi Xiao, Minfeng Yang, Huanming Wang, Jian Kristiansen, Karsten Xu, Xun Li, Junhua Gigascience Research Pangenome analyses facilitate the interpretation of genetic diversity and evolutionary history of a taxon. However, there is an urgent and unmet need to develop new tools for advanced pangenome construction and visualization, especially for metagenomic data. Here, we present an integrated pipeline, named MetaPGN, for construction and graphical visualization of pangenome networks from either microbial genomes or metagenomes. Given either isolated genomes or metagenomic assemblies coupled with a reference genome of the targeted taxon, MetaPGN generates a pangenome in a topological network, consisting of genes (nodes) and gene-gene genomic adjacencies (edges) of which biological information can be easily updated and retrieved. MetaPGN also includes a self-developed Cytoscape plugin for layout of and interaction with the resulting pangenome network, providing an intuitive and interactive interface for full exploration of genetic diversity. We demonstrate the utility of MetaPGN by constructing Escherichia coli pangenome networks from five E. coli pathogenic strains and 760 human gut microbiomes,revealing extensive genetic diversity of E. coli within both isolates and gut microbial populations. With the ability to extract and visualize gene contents and gene-gene physical adjacencies of a specific taxon from large-scale metagenomic data, MetaPGN provides advantages in expanding pangenome analysis to uncultured microbial taxa. Oxford University Press 2018-10-02 /pmc/articles/PMC6251982/ /pubmed/30277499 http://dx.doi.org/10.1093/gigascience/giy121 Text en © The Author(s) 2018. 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 | Research Peng, Ye Tang, Shanmei Wang, Dan Zhong, Huanzi Jia, Huijue Cai, Xianghang Zhang, Zhaoxi Xiao, Minfeng Yang, Huanming Wang, Jian Kristiansen, Karsten Xu, Xun Li, Junhua MetaPGN: a pipeline for construction and graphical visualization of annotated pangenome networks |
title | MetaPGN: a pipeline for construction and graphical visualization of annotated pangenome networks |
title_full | MetaPGN: a pipeline for construction and graphical visualization of annotated pangenome networks |
title_fullStr | MetaPGN: a pipeline for construction and graphical visualization of annotated pangenome networks |
title_full_unstemmed | MetaPGN: a pipeline for construction and graphical visualization of annotated pangenome networks |
title_short | MetaPGN: a pipeline for construction and graphical visualization of annotated pangenome networks |
title_sort | metapgn: a pipeline for construction and graphical visualization of annotated pangenome networks |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6251982/ https://www.ncbi.nlm.nih.gov/pubmed/30277499 http://dx.doi.org/10.1093/gigascience/giy121 |
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