The production of medicines and vaccines must comply with strict Good Manufacturing Practice standards to ensure the safety of the manufactured products. Consequently, environmental monitoring of pharmaceutical production areas is essential to ensure compliance with recommended limits for microbiological contamination, and identifying microorganisms isolated from these areas supports preventive and corrective actions. This study aimed to identify at the species level strain B1373/24, which was isolated during air monitoring in a viral vaccine production area of a pharmaceutical industry in Rio de Janeiro. The strain was initially analyzed using matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) with the MALDI Biotyper® (Bruker); however, it could not be identified. Therefore, the 16S rRNA gene of B1373/24 was sequenced, and the resulting data were compared with the EzBioCloud database, using the ≥98.7% threshold for species-level identification. The following species were proposed: Janibacter anophelis (100.0%), Janibacter hoylei (98.82%), and Janibacter cremeus (98.75%).The species was confirmed as Janibacter anophelis through phylogenetic analysis using the following software: MegaX, jModelTest, Mafft-online, and FigTree. This confirmation allowed the spectrum of strain B1373/24 to be incorporated into the MALDI Biotyper® system, contributing to the expansion of its database (DB). A subsequent reanalysis of B1373/24 using MALDI-TOF MS successfully identified it as Janibacter anophelis, confirming the validity of the newly added spectrum within the system's DB. The identification of B1373/24 as Janibacter anophelis highlights the importance of combining molecular tools to expand the MALDI-TOF MS database, thereby improving its capacity to identify environmental microorganisms. This study underscores its significant technological and scientific value for the pharmaceutical industry.
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Identification of a strain of the genus Janibacter isolated in a pharmaceutical industry using molecular and proteomic techniques.
Published:
31 March 2025
by MDPI
in The 3rd International Electronic Conference on Microbiology
session Microbial Characterization and Bioprocess
Abstract:
Keywords: 16S rRNA, MALDI-TOF MS, bacterial identification, quality control.
