ClustAGE

ClustAGE analyzes nucleotide sequences of accessory genomic elements (AGEs) across multiple bacterial genomes to cluster and characterize their distribution and support studies of bacterial adaptation and pathogenicity.


Key Features:

  • Clustering of Accessory Genomic Elements: ClustAGE clusters nucleotide sequences from accessory genomes of multiple bacterial strains to delineate shared and unique AGEs.
  • Distribution Analysis: The software identifies distribution patterns of discrete genomic elements among bacterial populations to reveal presence/absence and population-level variation.
  • Integration with Phenotypic Data: ClustAGE outputs can be combined with strain phenotype data to detect associations between specific AGEs and observed bacterial traits.
  • Graphical Visualization: The package can produce graphical representations of gene content and AGE distribution to aid interpretation of accessory genome patterns.
  • Demonstrated Efficacy: ClustAGE has been applied to a collection of 14 Pseudomonas aeruginosa genome sequences to identify characteristics and distributions of AGEs among genomes.

Scientific Applications:

  • Accessory Genome Characterization: Defining composition and structural diversity of the non-conserved accessory genome across bacterial populations.
  • Genotype–Phenotype Association: Linking presence or absence of AGEs to adaptive traits such as niche specificity and pathogenicity.
  • Bacterial Evolution and Adaptation Studies: Investigating the role of genomic islands and other AGEs in bacterial adaptation and population structure.

Methodology:

ClustAGE is implemented in Perl and employs BLAST for nucleotide sequence alignment and clustering of accessory genomic elements, and it is described as having a modular design.

Topics

Details

License:
GPL-3.0
Tool Type:
command-line tool
Operating Systems:
Linux
Programming Languages:
Perl
Added:
7/29/2018
Last Updated:
12/10/2018

Operations

Publications

Ozer EA. ClustAGE: a tool for clustering and distribution analysis of bacterial accessory genomic elements. BMC Bioinformatics. 2018;19(1). doi:10.1186/s12859-018-2154-x. PMID:29678129. PMCID:PMC5910555.

PMID: 29678129
PMCID: PMC5910555
Funding: - American Cancer Society: MRSG-13-220-01 – MPC

Documentation