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Objectives: To investigate the epidemiology and molecular typing of 307 clinical Wickerhamomyces anomalus isolates collected in China.
Methods: A total of 307 W. anomalus isolates were collected from CHIF-NET, a surveillance network with nationwide coverage, from 2009 to 2021. Antifungal susceptibility of all W. anomalus isolates were tested by broth microdilution according to CLSI methods. Genotyping of all isolates was performed using a panel of polymorphic microsatellite markers.
Results: The number of W. anomalus isolates was highest in Northeast China, with 121 strains, accounting for 4.6% of the total Candida spp. isolates in the region. Newborns emerged as the primary community of infection, with 84 isolates (12.7% of all Candida spp. in the newborn group). Most W. anomalus isolates were recovered from blood samples (249 isolates). The isolates were found to exhibit notable ratios of non-wild type to fluconazole and voriconazole (48.5% and 34.5%). A total of 118 microsatellite-based types were identified among a set of 309 isolates that included the 307 clinical isolates along with reference strains ATCC 8168 and CICC 32553. This analysis revealed potential nosocomial outbreaks.
Conclusions: Our research is the largest investigation of W. anomalus drug susceptibility thus far, providing foundational data that could contribute to future establishment of resistance breakpoints and enhancing epidemiological surveillance capabilities. Our study suggests the importance of nosocomial surveillance and drug resistance management for W. anomalus.
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http://dx.doi.org/10.1093/jac/dkaf156 | DOI Listing |
Int J Food Microbiol
October 2025
Department of Food Science and Human Nutrition, Agricultural University of Athens, Iera Odos 75, Athens 118 55, Greece.
The microbial terroir of Greek olive varieties remains underexplored. In this study, 62 samples of olive fruits, collected across the harvest period 2019-2020, were analyzed by high-throughput sequencing. The samples represented 38 olive varieties collected from geographically well distributed regions of Greece.
View Article and Find Full Text PDFBMC Microbiol
July 2025
Department of Infectious Disease and Clinical Microbiology, Faculty of Medicine, Akdeniz University, Antalya, Turkey.
Background: With advancements in healthcare services, there has been an increase in the population of immunosuppressed patients and the frequency of opportunistic pathogens including rare yeasts (RY). We aimed to provide data on the distribution of RY causing invasive infections and their antifungal susceptibility profiles. In this retrospective study, the distribution of RYs obtained between January 2015 and January 2023 examined.
View Article and Find Full Text PDFFood Chem X
July 2025
Meat Processing Key Laboratory of Sichuan Province, College of Food and Biological Engineering, Chengdu University, Chengdu 610106, China.
To assess the modulation of on aroma compounds, non-volatile metabolites, and their potential correlation in Sichuan-style sausage, in this study, an isolated strain was used as starter cultures to prepare Sichuan-style sausages at different inoculum levels (10, 10, and 10 CFU/g). The results showed that fermented sausages exhibited reduced total plate counts and stronger antioxidant activity compared to control sausage. UHPLC-MS/MS metabolomics identified 1047 metabolites, of which 930 were characterized.
View Article and Find Full Text PDFMicroorganisms
June 2025
Department of Agricultural, Food, Environmental and Animal Science, University of Udine, 33100 Udine, Italy.
Four different yeast strains were isolated from industrial gluten-free bread (GFB) purchased from a local supermarket. These strains, including , , , and , are responsible for spoilage, which consists of white powdery and filamentous colonies due to the fragmentation of hyphae into short-length fragments (dust-type spots) that is typical of the spoilage produced by chalk yeasts. The isolated strains were identified using genomic analysis.
View Article and Find Full Text PDFJ Microbiol Methods
September 2025
Medical Mycology Research Center, Chiba University, 1-8-1, Inohana, Chuo-ku, Chiba 260-8673, Japan.
In industrial settings, identifying the source of microbial contamination is crucial for effective microbiological risk assessment. While various strain identification technologies exist, many struggle with practicality, accuracy, and reproducibility. Fourier Transform Infrared Spectroscopy (FT-IR) has emerged as a rapid method, demonstrating a strong correlation with whole-genome sequencing (WGS) for certain bacteria.
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