Maldi mass spectrometry for identification lactic acid bacilli isolated from lactic acid products produced in the Karagandy region

Zhanar Amirkhanova, Karagandy University of the name of academician Ye.A. Buketov, Rahat Bodeeva, Saule Akhmetova, Altynay Tuyakova, Saken Kozhakhmetov, Karagandy University of the name of academician Ye.A. Buketov, Medical University of Karagandy, Laboratory of human microbiome and longevity, Center for Life Sciences, «National Laboratory Astana»
2021 Bulletin of the Karaganda University. "Biology, medicine, geography Series"  
At present the traditional methods of identifying microorganisms are replaced by express methods, the mass spectrometric method using MALDI-TOF MS allows to reliably identify a variety of microorganisms in a short time, which is an indisputable advantage in work and allows to quickly identify many microorganisms in quickly. Classical methods for the identification of lactic acid bacteria based on their cultivation require a long time for their implementation. The advent of matrix laser
more » ... n ionization time-of-flight mass spectrometry (MALDI-TOF MS) technology made significant changes in the workflows for the study of lactic acid bacteria, unmatched in speed characteristics. This article presents the study of the morphological, cultural properties, acid-forming ability, antibiotic sensitivity lactic acid bacteria of isolated from products (ayran, koumiss, ashykan kozhe, kurt, suzbe, cottage cheese) produced in different districts of the Karaganda region. The species identification of the isolated strains of lactic acid bacteria was carried out using a MALDI-TOF mass spectrometer. The studies carried out on cultural and morphological characters indicate that they belong to the genus Lactobacillus, Lacticaseibacillus, Lactiplantibacillus, Limosilactobacillus. As a result of identification on the mass spectrometer of the presented samples L. acidophilus (2 strains), L. delbrueckii subsp. bulgaricum (2 strains), L. rhamnosus (7 strains), L. plantarum (2 strains), L. paracasei (11 strains), L. fermentum (2 strains) were revealed. According to the Score values, the results indicate the accuracy of the identification.
doi:10.31489/2021bmg3/18-25 fatcat:stgcwc6uvrebdpctnnxclltavm