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Web-based visualization tools for bacterial genome alignments.

L Florea1, C Riemer, S Schwartz

  • 1Department of Computer Science and Engineering, The Pennsylvania State University, University Park, PA 16802, USA.

Nucleic Acids Research
|September 13, 2000
PubMed
Summary
This summary is machine-generated.

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New web tools visualize bacterial genome alignments, aiding comparative analysis. These tools revealed a gene deletion in Salmonella enterica subspecies I, potentially linked to host immune selection.

Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Increasing volumes of genomic data necessitate advanced visualization tools for comparative analysis.
  • Effective visualization aids in identifying genomic differences and evolutionary patterns.

Purpose of the Study:

  • To introduce three novel web-based tools for visualizing bacterial genome alignments.
  • To facilitate the comparison of bacterial genomes and the identification of structural variations.

Main Methods:

  • Development of three distinct visualization tools: Enteric (pairwise alignments), Menteric (nucleotide-level multiple alignments), and Maj (Java-based viewer with zoom).
  • Comparative analysis of Escherichia coli K-12 with related bacterial genomes (Klebsiella pneumoniae, Yersinia pestis, Vibrio cholerae, Salmonella enterica serovars).

Related Experiment Videos

  • Utilized Polymerase Chain Reaction (PCR) to validate observed genomic variations.

    • Main Results:

    • The tools effectively display insertions, deletions, and rearrangements, highlighting genomic differences.
    • Identified a partial deletion of the rffH gene, crucial for enterobacterial common antigen (ECA) biosynthesis, in one genome.
    • Confirmed sporadic occurrence of this deletion in specific Salmonella enterica subspecies I strains via PCR.

    Conclusions:

    • The developed visualization tools are valuable for bacterial genome comparison and analysis.
    • The rffH gene deletion in Salmonella may contribute to cell surface diversity, potentially influenced by host immune responses.
    • Genomic variation analysis can provide insights into bacterial adaptation and evolution.