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<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/"><rdf:Description rdf:about="https://repozitorij.uni-lj.si/IzpisGradiva.php?id=179222"><dc:title>Comparison of culture-dependent and culture-independent methods for routine identification of airborne microorganisms in speleotherapeutic caves</dc:title><dc:creator>Tomazin,	Rok	(Avtor)
	</dc:creator><dc:creator>Cerar Kišek,	Tjaša	(Avtor)
	</dc:creator><dc:creator>Janko,	Tea	(Avtor)
	</dc:creator><dc:creator>Triglav,	Tina	(Avtor)
	</dc:creator><dc:creator>Strašek Smrdel,	Katja	(Avtor)
	</dc:creator><dc:creator>Špik,	Vesna	(Avtor)
	</dc:creator><dc:creator>Kukec,	Andreja	(Avtor)
	</dc:creator><dc:creator>Mulec,	Janez	(Avtor)
	</dc:creator><dc:creator>Matos,	Tadeja	(Avtor)
	</dc:creator><dc:subject>MALDI-TOF MS</dc:subject><dc:subject>OmniLog ID System</dc:subject><dc:subject>microbial identification</dc:subject><dc:subject>metagenomics</dc:subject><dc:subject>speleotherapy</dc:subject><dc:subject>cave aerobiology</dc:subject><dc:subject>nitrocellulose filters</dc:subject><dc:description>The effective identification of bacterial and fungal isolates is essential for microbiological monitoring in environments like speleotherapeutic caves. This study compares MALDI-TOF MS and the OmniLog ID System, two high-throughput culture-based identification methods. MALDI-TOF MS identified 80.0% of bacterial isolates to the species level, while the OmniLog ID System identified 92.9%. However, species-level matches between the methods were only 48.8%, revealing considerable discrepancies. For discrepant results, MALDI-TOF MS matched molecular identification at the genus level in 90.5% of cases, while the OmniLog ID System matched only in 28.6%, demonstrating MALDI-TOF MS’s superiority. The OmniLog ID System had difficulties identifying genera from the order Micrococcales. Fungal identification success with MALDI-TOF MS was 30.6% at the species level, potentially improvable with a customised spectral library, compared to the OmniLog ID System’s 16.7%. Metagenomic approaches detected around 100 times more microbial taxa than culture-based methods, highlighting human-associated microorganisms, especially Staphylococcus spp. In addition to Staphylococcus spp. and Micrococcus spp. as indicators of cave anthropisation, metagenomics revealed another indicator, Cutibacterium acnes. This study advocates a multi-method approach combining MALDI-TOF MS, the OmniLog ID System, culture-based, and metagenomic analyses for comprehensive microbial identification. Metagenomic sampling on nitrocellulose filters provided superior read quality and microbial representation over liquid sampling, making it preferable for cave air sample collection.</dc:description><dc:date>2024</dc:date><dc:date>2026-02-09 07:11:19</dc:date><dc:type>Članek v reviji</dc:type><dc:identifier>179222</dc:identifier><dc:language>sl</dc:language></rdf:Description></rdf:RDF>
