Species classification

Current taxonomic status of the cultivable and uncultivable Paracoccidioides species

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Paracoccidioides are fungi that cause serious infections in humans and dolphins. Scientists have recently reorganized and renamed these fungi into five different species—three that can be grown in labs and two that cannot. Some previously named species turned out to be invalid due to naming rule violations. This article explains the correct names and classifications that doctors and researchers should use.

Taxonomy and phylogeny of Cortinarius sect. Anomali in China

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This research identifies and describes 22 species of Cortinarius mushrooms found in China, including 11 newly discovered species. Scientists used both traditional microscopy and modern DNA analysis to distinguish between similar-looking species and understand how they are related to each other. The study also compares Chinese species with those found in Europe and North America, helping map out how these mushrooms are distributed across the world.

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.

Research Keyword: Species classification

Current taxonomic status of the cultivable and uncultivable Paracoccidioides species

Taxonomy and phylogeny of Cortinarius sect. Anomali in China

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