Acinetobase

Acinetobase provides a curated repository of genetic and phenotypic data for Acinetobacter strains, particularly Acinetobacter baumannii, to enable selection and comparative analysis of isolates.


Key Features:

  • Extensive Data Collection: Curates genetic and phenotypic data across a wide array of Acinetobacter strains, capturing genomic diversity and associated traits.
  • Phenotypic and Genetic Insights: Includes annotations of macrocolony morphologies, virulence in vitro and in vivo, natural competence levels, capsular polysaccharide structures, and cellular densities.
  • Gene Presence/Absence Documentation: Records presence or absence of specific genes and physiological processes to link genotypes with phenotypes.
  • Strain Selection Support: Links genotype and phenotype data to facilitate selection of isolates tailored to specific biological inquiries.

Scientific Applications:

  • Experimental Design: Enables selection of isolates with defined genotypic or phenotypic characteristics for laboratory and in vivo studies.
  • Comparative Genomics: Supports analyses of genomic heterogeneity and limited core genome across Acinetobacter strains.
  • Antimicrobial Resistance and Stress Response Studies: Facilitates analysis of antimicrobial resistance, desiccation resistance, disinfectant tolerance, human serum resistance, and oxidative stress responses.
  • Virulence and Morphology Research: Enables investigation of virulence determinants, macrocolony morphologies, natural competence, and capsular polysaccharide structure effects.

Methodology:

Documents and curates genetic and phenotypic measurements, including annotations of gene presence/absence and recorded phenotypic trait data.

Topics

Details

License:
GPL-3.0
Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Mac, Linux, Windows
Added:
1/25/2023
Last Updated:
1/25/2023

Operations

Publications

Valcek A, Collier J, Botzki A, Van der Henst C. Acinetobase: the comprehensive database and repository of <i>Acinetobacter</i> strains. Database. 2022;2022. doi:10.1093/database/baac099. PMID:36412325. PMCID:PMC10103187.