PanACEA: a bioinformatics tool for the exploration and visualization of bacteria pan-chromosomes

被引:7
作者
Clarke, Thomas H. [1 ]
Brinkac, Lauren M. [1 ,2 ]
Inman, Jason M. [1 ]
Sutton, Granger [1 ]
Fouts, Derrick E. [1 ]
机构
[1] J Craig Venter Inst, Rockville, MD 20850 USA
[2] Durban Univ Technol, Dept Biotechnol & Food Technol, ZA-4000 Durban, South Africa
来源
BMC BIOINFORMATICS | 2018年 / 19卷
基金
美国国家卫生研究院;
关键词
Pan-genome; Pan-chromosome; Visualization; Viewer; PanOCT; fGR; fGI;
D O I
10.1186/s12859-018-2250-y
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Background: Bacterial pan-genomes, comprised of conserved and variable genes across multiple sequenced bacterial genomes, allow for identification of genomic regions that are phylogenetically discriminating or functionally important. Pan-genomes consist of large amounts of data, which can restrict researchers ability to locate and analyze these regions. Multiple software packages are available to visualize pan-genomes, but currently their ability to address these concerns are limited by using only pre-computed data sets, prioritizing core over variable gene clusters, or by not accounting for pan-chromosome positioning in the viewer. Results: We introduce PanACEA (Pan-genome Atlas with Chromosome Explorer and Analyzer), which utilizes locally-computed interactive web-pages to view ordered pan-genome data. It consists of multi-tiered, hierarchical display pages that extend from pan-chromosomes to both core and variable regions to single genes. Regions and genes are functionally annotated to allow for rapid searching and visual identification of regions of interest with the option that user-supplied genomic phylogenies and metadata can be incorporated. PanACEA's memory and time requirements are within the capacities of standard laptops. The capability of PanACEA as a research tool is demonstrated by highlighting a variable region important in differentiating strains of Enterobacter hormaechei. Conclusions: PanACEA can rapidly translate the results of pan-chromosome programs into an intuitive and interactive visual representation. It will empower researchers to visually explore and identify regions of the panchromosome that are most biologically interesting, and to obtain publication quality images of these regions.
引用
收藏
页数:6
相关论文
共 27 条
  • [1] [Anonymous], BIORXIV
  • [2] [Anonymous], BIORXIV
  • [3] Gene Ontology: tool for the unification of biology
    Ashburner, M
    Ball, CA
    Blake, JA
    Botstein, D
    Butler, H
    Cherry, JM
    Davis, AP
    Dolinski, K
    Dwight, SS
    Eppig, JT
    Harris, MA
    Hill, DP
    Issel-Tarver, L
    Kasarskis, A
    Lewis, S
    Matese, JC
    Richardson, JE
    Ringwald, M
    Rubin, GM
    Sherlock, G
    [J]. NATURE GENETICS, 2000, 25 (01) : 25 - 29
  • [4] EDGAR 2.0: an enhanced software platform for comparative gene content analyses
    Blom, Jochen
    Kreis, Julian
    Spaenig, Sebastian
    Juhre, Tobias
    Bertelli, Claire
    Ernst, Corinna
    Goesmann, Alexander
    [J]. NUCLEIC ACIDS RESEARCH, 2016, 44 (W1) : W22 - W28
  • [5] EDGAR: A software framework for the comparative analysis of prokaryotic genomes
    Blom, Jochen
    Albaum, Stefan P.
    Doppmeier, Daniel
    Puehler, Alfred
    Vorhoelter, Frank-Joerg
    Zakrzewski, Martha
    Goesmann, Alexander
    [J]. BMC BIOINFORMATICS, 2009, 10
  • [6] PGAT: a multistrain analysis resource for microbial genomes
    Brittnacher, M. J.
    Fong, C.
    Hayden, H. S.
    Jacobs, M. A.
    Radey, Matthew
    Rohmer, L.
    [J]. BIOINFORMATICS, 2011, 27 (17) : 2429 - 2430
  • [7] A novel method of consensus pan-chromosome assembly and large-scale comparative analysis reveal the highly flexible pan-genome of Acinetobacter baumannii
    Chan, Agnes P.
    Sutton, Granger
    DePew, Jessica
    Krishnakumar, Radha
    Choi, Yongwook
    Huang, Xiao-Zhe
    Beck, Erin
    Harkins, Derek M.
    Kim, Maria
    Lesho, Emil P.
    Nikolich, Mikeljon P.
    Fouts, Derrick E.
    [J]. GENOME BIOLOGY, 2015, 16
  • [8] BPGA- an ultra-fast pan-genome analysis pipeline
    Chaudhari, Narendrakumar M.
    Gupta, Vinod Kumar
    Dutta, Chitra
    [J]. SCIENTIFIC REPORTS, 2016, 6
  • [9] Comprehensive Genome Analysis of Carbapenemase-Producing Enterobacter spp.: New Insights into Phylogeny, Population Structure, and Resistance Mechanisms
    Chavda, Kalyan D.
    Chen, Liang
    Fouts, Derrick E.
    Sutton, Granger
    Brinkac, Lauren
    Jenkins, Stephen G.
    Bonomo, Robert A.
    Adams, Mark D.
    Kreiswirth, Barry N.
    [J]. MBIO, 2016, 7 (06):
  • [10] GET_HOMOLOGUES, a Versatile Software Package for Scalable and Robust Microbial Pangenome Analysis
    Contreras-Moreira, Bruno
    Vinuesa, Pablo
    [J]. APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 2013, 79 (24) : 7696 - 7701