Unknown

Dataset Information

0

MetaPGN: a pipeline for construction and graphical visualization of annotated pangenome networks.


ABSTRACT: 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.

SUBMITTER: Peng Y 

PROVIDER: S-EPMC6251982 | BioStudies | 2018-01-01

REPOSITORIES: biostudies

Similar Datasets

2018-01-01 | S-EPMC5804319 | BioStudies
2017-01-01 | S-EPMC5745018 | BioStudies
2020-01-01 | S-EPMC7257156 | BioStudies
2011-01-01 | S-EPMC3166145 | BioStudies
1000-01-01 | S-EPMC5447240 | BioStudies
2000-01-01 | S-EPMC110579 | BioStudies
1000-01-01 | S-EPMC5859990 | BioStudies
1000-01-01 | S-EPMC3475381 | BioStudies
2020-01-01 | S-EPMC7174425 | BioStudies
2020-01-01 | S-EPMC6908720 | BioStudies