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The induction of mutants of Acinetobacter calcoaceticus NCIB8250 and their selection by vancomycin

Insights

This study investigated the mutagenic effects of four agents on Acinetobacter calcoaceticus, finding all were mutagenic. Ethyl methanesulphonate (EMS) and N-methyl-N’-nitro-N-nitrosoguanidine (NTG) were more effective than irradiation but less so than in other bacteria.

Area of Science:

  • Microbiology
  • Genetics
  • Bacteriology

Background:

  • Acinetobacter calcoaceticus is a bacterium relevant in various environments.
  • Understanding mutagenic agents is crucial for microbial genetics and safety assessments.

Purpose of the Study:

  • To evaluate the mutagenic and lethal effects of N-methyl-N'-nitro-N-nitrosoguanidine (NTG), ethyl methanesulphonate (EMS), UV, and near-UV with 8-methoxypsoralen on Acinetobacter calcoaceticus.
  • To establish optimal conditions for mutant selection using antibiotics.

Main Methods:

  • Exposure of Acinetobacter calcoaceticus NCIB8250 to four different mutagenic agents.
  • Quantification of auxotrophic mutant production to assess mutagenic efficiency.
  • Utilizing a combination of vancomycin and penicillin V for enrichment of non-metabolizing bacteria.

Main Results:

  • All four tested agents (NTG, EMS, UV, near-UV with 8-methoxypsoralen) demonstrated mutagenic activity.
  • EMS and NTG showed higher mutagenic effectiveness compared to UV irradiation.
  • Mutation frequencies induced by EMS and NTG were lower than those reported for other bacterial species.
  • Optimal conditions for antibiotic-based selection of non-metabolizing bacteria were determined.

Conclusions:

  • N-methyl-N'-nitro-N-nitrosoguanidine (NTG), ethyl methanesulphonate (EMS), and UV irradiation are effective mutagens for Acinetobacter calcoaceticus.
  • The study identified specific antibiotic combinations and conditions for efficient mutant selection in this bacterium.
  • Comparative mutagenicity data for Acinetobacter calcoaceticus were established, highlighting differences from other bacterial models.

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