Evidence map›Paper›PMID 30277499›Full record

ArticleGigaScience2018

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

Ye Peng, Shanmei Tang, Dan Wang, Huanzi Zhong, Huijue Jia, Xianghang Cai, Zhaoxi Zhang, Minfeng Xiao, Huanming Yang, Jian Wang and 3 more

Abstract read
In one paragraph

Article in GigaScience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Integrating pan-genome with metagenome for microbial community profiling.Computational and structural biotechnology journal · 2021
    Review
  7. Article
  8. Comparative genomics in infectious disease.Current opinion in microbiology · 2020
    Review
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Ye PengSchool of Biology and Biological Engineering, South China University of Technology, Building B6, 382 Zhonghuan Road East, Guangzhou Higher Education Mega Center, Guangzhou 510006, China.
Shanmei TangBGI-Shenzhen, Building 11, Beishan Industrial Zone, Yantian, Shenzhen 518083, China.
Dan WangBGI-Shenzhen, Building 11, Beishan Industrial Zone, Yantian, Shenzhen 518083, China.
Huanzi ZhongBGI-Shenzhen, Building 11, Beishan Industrial Zone, Yantian, Shenzhen 518083, China.
Huijue JiaBGI-Shenzhen, Building 11, Beishan Industrial Zone, Yantian, Shenzhen 518083, China.
Xianghang CaiBGI-Shenzhen, Building 11, Beishan Industrial Zone, Yantian, Shenzhen 518083, China.
Zhaoxi ZhangBGI-Shenzhen, Building 11, Beishan Industrial Zone, Yantian, Shenzhen 518083, China.
Minfeng XiaoBGI-Shenzhen, Building 11, Beishan Industrial Zone, Yantian, Shenzhen 518083, China.
Huanming YangBGI-Shenzhen, Building 11, Beishan Industrial Zone, Yantian, Shenzhen 518083, China.
Jian WangBGI-Shenzhen, Building 11, Beishan Industrial Zone, Yantian, Shenzhen 518083, China.
Karsten KristiansenBGI-Shenzhen, Building 11, Beishan Industrial Zone, Yantian, Shenzhen 518083, China.
Xun XuBGI-Shenzhen, Building 11, Beishan Industrial Zone, Yantian, Shenzhen 518083, China.
Junhua LiSchool of Biology and Biological Engineering, South China University of Technology, Building B6, 382 Zhonghuan Road East, Guangzhou Higher Education Mega Center, Guangzhou 510006, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Gene Regulatory NetworksComputational BiologyEscherichia coliGenomeGenome, BacterialGenomicsHumansMetagenomeMetagenomicsReproducibility of ResultsSoftware

Identifiers

PMID30277499
PMCPMC6251982

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.