An integrated method for taxonomic identification of microorganisms

Area of Science:

• Microbiology
• Molecular Biology
• Genetics

Background:

• Accurate species-level identification of microorganisms is crucial.
• Molecular and genetic techniques complement traditional microbiological methods for distinguishing species and strains.
• The ICG SB RAS Collection houses microbial strains requiring detailed characterization.

Purpose of the Study:

• To identify microorganisms from the ICG SB RAS Collection using an integrated approach.
• To combine phenotypic and genotypic characteristics for comprehensive microbial strain analysis.
• To establish a basis for an "artificial" classification system for simplified microbial identification.

Main Methods:

• Characterization of 93 microbial strains using morphological, physiological, molecular-genetic, and mass-spectrometric parameters.
• Evaluation of growth on different media and cell morphology.
• Testing of substrate utilization, oxygen requirements, nutrition type, temperature/pH ranges, and NaCl tolerance.
• Grouping of microorganisms based on similarities in phenotypic characteristics.

Main Results:

• Key molecular-genetic and phenotypic characteristics were determined for 93 microbial strains.
• Significant differences in biochemical characteristics were observed among the studied strains.
• Physiological characteristics including oxygen relationship, nutrition type, and tolerance ranges were identified.
• Microorganisms were grouped based on phenotypic similarities.

Conclusions:

• The integrated approach effectively characterized microbial strains from the ICG SB RAS Collection.
• The determined phenotypic and genotypic data provide a foundation for an "artificial" classification system.
• This classification system can facilitate simplified and rapid identification of microorganisms in collections.