Comparison of Culture-Dependent and Culture-Independent Methods for Routine Identification of Airborne Microorganisms in Speleotherapeutic Caves DOI Creative Commons
Rok Tomazin, Tjaša Cerar,

Tea Janko

и другие.

Microorganisms, Год журнала: 2024, Номер 12(7), С. 1427 - 1427

Опубликована: Июль 14, 2024

The effective identification of bacterial and fungal isolates is essential for microbiological monitoring in environments like speleotherapeutic caves. This study compares MALDI-TOF MS the OmniLog ID System, two high-throughput culture-based methods. identified 80.0% to species level, while System 92.9%. However, species-level matches between methods were only 48.8%, revealing considerable discrepancies. For discrepant results, matched molecular at genus level 90.5% cases, 28.6%, demonstrating MS’s superiority. had difficulties identifying genera from order Micrococcales. Fungal success with was 30.6% potentially improvable a customised spectral library, compared System’s 16.7%. Metagenomic approaches detected around 100 times more microbial taxa than methods, highlighting human-associated microorganisms, especially Staphylococcus spp. In addition Micrococcus as indicators cave anthropisation, metagenomics revealed another indicator, Cutibacterium acnes. advocates multi-method approach combining MS, culture-based, metagenomic analyses comprehensive identification. sampling on nitrocellulose filters provided superior read quality representation over liquid sampling, making it preferable air sample collection.

Язык: Английский

Comparison of Culture-Dependent and Culture-Independent Methods for Routine Identification of Airborne Microorganisms in Speleotherapeutic Caves DOI Creative Commons
Rok Tomazin, Tjaša Cerar,

Tea Janko

и другие.

Microorganisms, Год журнала: 2024, Номер 12(7), С. 1427 - 1427

Опубликована: Июль 14, 2024

The effective identification of bacterial and fungal isolates is essential for microbiological monitoring in environments like speleotherapeutic caves. This study compares MALDI-TOF MS the OmniLog ID System, two high-throughput culture-based methods. identified 80.0% to species level, while System 92.9%. However, species-level matches between methods were only 48.8%, revealing considerable discrepancies. For discrepant results, matched molecular at genus level 90.5% cases, 28.6%, demonstrating MS’s superiority. had difficulties identifying genera from order Micrococcales. Fungal success with was 30.6% potentially improvable a customised spectral library, compared System’s 16.7%. Metagenomic approaches detected around 100 times more microbial taxa than methods, highlighting human-associated microorganisms, especially Staphylococcus spp. In addition Micrococcus as indicators cave anthropisation, metagenomics revealed another indicator, Cutibacterium acnes. advocates multi-method approach combining MS, culture-based, metagenomic analyses comprehensive identification. sampling on nitrocellulose filters provided superior read quality representation over liquid sampling, making it preferable air sample collection.

Язык: Английский

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