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Gene and Protein Network Analysis of AmpC β Lactamase

P Anitha1, Susmita Bag1, Anand Anbarasu1

  • 1Bioinformatics Division, School of Biosciences & Technology (SBST), VIT University, Vellore, 632014, India.

Cell Biochemistry and Biophysics
|November 13, 2014
PubMed

Insights

Computational gene networks reveal functional associations of the ampC gene, a key factor in bacterial antibiotic resistance. Understanding these networks aids in combating resistance to essential cephalosporin antibiotics.

Area of Science:

  • Microbiology
  • Genetics
  • Bioinformatics

Background:

  • AmpC β-lactamase confers resistance to cephalosporins, posing a significant public health threat.
  • The ampC gene's expression is inducible and regulated by multiple genes, but their functional relationships are not fully understood.

Purpose of the Study:

  • To analyze the ampC gene using computational gene networks.
  • To construct a functional interaction network for the ampC gene based on various biological data.

Main Methods:

  • Construction of a functional interaction network for the ampC gene.
  • Analysis of gene interaction types, co-expression, Gene Ontology, and text mining data.

Main Results:

  • A network of 247 functional genes associated with ampC across 15 bacterial genera was constructed.
  • Key associated genes include ampD (19.8%), frdD (13.3%), gcvA (8.5%), and ampR (2.4%).

Conclusions:

  • The study provides insights into the functional gene network regulating ampC.
  • Integrated evidence supports the ampC gene's role in regulating β-lactamase production and antibiotic resistance.
Keywords:
AmpC β-lactamasesGene regulatory networksMolecular sequence annotation

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