fungal identification – Page 3

Investigating fungal diversity through metabarcoding for environmental samples: assessment of ITS1 and ITS2 Illumina sequencing using multiple defined mock communities with different classification methods and reference databases

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Scientists developed a comprehensive method for identifying different fungi in environmental samples using DNA sequencing technology called metabarcoding. They tested 37 mixtures of known fungi species to compare different approaches, including which DNA markers to use, which reference databases to search, and which computer analysis methods to apply. The study found that the choice of method significantly affects results, with some approaches better at genus-level identification and others at species identification, helping researchers select the best approach for their specific needs.

Identification of Filamentous Fungi: An Evaluation of Three MALDI-TOF Mass Spectrometry Systems

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This study compared three laboratory machines that identify fungi using a technique called MALDI-TOF mass spectrometry. Researchers tested 77 different fungal samples on each machine to see which one worked best. All three machines were useful for routine lab work, but they each worked best at different time points after the fungi started growing. The study shows that labs should be aware of when to test their samples for the most accurate results.

Didymellaceae species associated with tea plant (Camellia sinensis) in China

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Researchers identified 25 different fungal species from the Didymellaceae family that can infect tea plant leaves in China, including six previously unknown species. By testing how harmful these fungi are to tea plants, they found that some species cause severe damage while others are harmless. These findings help tea farmers understand and manage leaf blight disease that threatens tea crop production.

Classification of Mycena and Marasmius Species Using Deep Learning Models: An Ecological and Taxonomic Approach

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Researchers developed an artificial intelligence system to automatically identify mushroom species from the Mycena and Marasmius groups by analyzing photographs. Using advanced computer vision and machine learning techniques, they achieved 98.9% accuracy in classification. This technology could help scientists, conservationists, and nature enthusiasts quickly identify mushroom species in the field, supporting biodiversity research and conservation efforts.

A rare case of invasive necrotizing myositis of the thigh caused by Basidiobolus ranarum: a multi-pronged approach to successfully managing a near-fatal polybacterial mycotic infection

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A 46-year-old man developed a severe fungal infection of his thigh caused by Basidiobolus ranarum, a rare fungus found in soil and animal feces. The infection worsened with secondary bacterial contamination, leading to tissue death and eventually requiring amputation. Doctors successfully treated the infection using a combination approach: antifungal medications (voriconazole and potassium iodide), antibiotics, and multiple surgical cleanings, though earlier treatment would have saved his limb.

Two new species of Entoloma subg. Cyanula sect. Asprella (Entolomataceae, Agaricales) from subtropical regions of China

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Scientists have identified two new mushroom species in China belonging to the genus Entoloma. These small blue and magenta mushrooms, named E. qingluan and E. zilin, were discovered in subtropical forests of Fujian and Zhejiang provinces. Using microscopic examination and genetic analysis, the researchers confirmed these were previously unknown species and provided detailed descriptions for scientific identification and classification.

Ophiostoma babimostense and Sporothrix europaea (Ascomycota, Ophiostomatales), two new ophiostomatalean species, associated with ambrosia and bark beetles in Norway and Poland

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Scientists discovered two new species of fungi that live in association with beetles in European forests. These fungi, Ophiostoma babimostense and Sporothrix europaea, were found in infested wood and pine shoots in Norway and Poland. The fungi were identified using microscopic examination and DNA analysis, revealing they belong to distinct groups within their respective fungal families. This discovery adds to our understanding of forest fungal diversity and beetle-fungus relationships.

Comparison of the Filamentous Fungi Library v4.0 MALDI Biotyper Platform vs MSI-2 performance for identifying filamentous fungi from liquid cultures

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This study compared two advanced technologies for identifying dangerous fungi in clinical samples. The MALDI Biotyper FFLv4.0 system identified about 96% of fungi correctly when using liquid culture samples, outperforming the MSI-2 database which identified about 78.5%. Both systems had difficulty with certain difficult-to-distinguish species, especially within Aspergillus and Fusarium groups, but performed well with Mucorales fungi. The findings suggest that continuous updating of these fungal identification libraries is essential for improving patient care.

Prevalence of Candida and Other Yeasts in Vulvovaginal Infections during Pregnancy: A 10-Year Serbian Survey

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This study examined yeast infections in pregnant Serbian women over 10 years, finding that nearly half had vulvovaginal yeast infections. While Candida albicans remained the most common cause, other yeast species are increasingly found and can be harder to treat. The research emphasizes the importance of accurate laboratory identification of yeast species to guide proper antifungal treatment and prevent serious complications for both mother and newborn.

Unveiling species diversity within early-diverging fungi from China IV: Four new species of Absidia (Cunninghamellaceae, Mucoromycota)

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Scientists discovered four new species of soil fungi called Absidia in Yunnan Province, China. These fungi were identified by examining their physical characteristics and genetic makeup, revealing they are closely related to but distinct from previously known Absidia species. Some Absidia species can produce useful compounds for industrial and medicinal purposes. This research adds to our understanding of fungal diversity in China’s temperate and subtropical regions.

Research Keyword: fungal identification