Not applicable – Page 9

High-Resolution Core Gene-Associated Multiple Nucleotide Polymorphism (cgMNP) Markers for Strain Identification in the Wine Cap Mushroom Stropharia rugosoannulata

mycolabadmin

Scientists developed a new genetic tool called cgMNP markers to accurately identify different strains of wine cap mushrooms (Stropharia rugosoannulata). By analyzing the DNA of 105 mushroom strains collected from across China, they discovered that a single gene containing 865 genetic variations was sufficient to distinguish between all cultivated varieties. This breakthrough provides a practical way for mushroom farmers and researchers to identify specific strains quickly, which is important for breeding better mushrooms and maintaining quality in commercial production.

Deep learning application to hyphae and spores identification in fungal fluorescence images

mycolabadmin

Researchers developed an artificial intelligence system that can automatically identify fungal infections in microscope images as accurately as experienced doctors. The system uses two different AI models working together to spot fungal spores, thread-like hyphae, and mycelium in fluorescence images. This technology could significantly reduce the time doctors spend analyzing samples and help ensure more accurate diagnoses, especially in hospitals with fewer experienced specialists.

Physicochemical Characteristics of Chitosan Extracted from Pleurotus ostreatus and Its Anticancer Activity Against the MDA-MB-231 Breast Cancer Cell Line

mycolabadmin

Researchers extracted a compound called chitosan from oyster mushrooms (Pleurotus ostreatus) and tested its ability to fight breast cancer cells. The chitosan successfully killed cancer cells by triggering apoptosis, a natural cell death process, while showing promise as a safer alternative to conventional chemotherapy. The study demonstrates that mushroom-derived compounds could have significant therapeutic potential for cancer treatment with fewer side effects than traditional drugs.

Growth Propagation of Liquid Spawn on Non-Woven Hemp Mats to Inform Digital Biofabrication of Mycelium-Based Composites

mycolabadmin

Researchers developed a method to grow mushroom mycelium (fungal threads) in liquid form and apply it to hemp mats to create sustainable building materials. By testing different growth conditions and concentrations, they found ways to control how fast the mycelium spreads and covers the surface. This liquid-based approach offers advantages over traditional methods because it allows for more precise application and better control of material properties.

Diverse nitrogen acquisition strategies of conifer-associated ectomycorrhizal fungi shape unique responses to changing nitrogen regimes

mycolabadmin

This research examines how different types of mushroom fungi that partner with conifer trees acquire nitrogen in different ways. Using genomic analysis, lab experiments, and historical mushroom samples from the past 60 years, scientists found that even closely related fungal species have distinct strategies for obtaining nitrogen from different sources. These findings suggest that coniferous forests may respond quite differently to changes in nitrogen availability compared to forests with broadleaf trees.

3D printed gyroid scaffolds enabling strong and thermally insulating mycelium-bound composites for greener infrastructures

mycolabadmin

Scientists developed a new eco-friendly building material made from mushroom mycelium grown on 3D-printed scaffolds. This material is as strong as traditional bricks, provides excellent insulation like foam, resists fire better than conventional materials, and is completely compostable. The innovation could help reduce carbon emissions from construction by replacing harmful petroleum-based and energy-intensive traditional building materials.

Biomimicry in the Context of Stabilised Porous Clays

mycolabadmin

Researchers developed a new way to strengthen loose soil by mimicking how fungi naturally stabilize soil in nature. Instead of compacting soil (which reduces its ability to support plant growth and fluid movement), they treat it with a waste product from sugar refineries mixed with a binding agent. The treated soil becomes stronger and stiffer while remaining porous and loose, maintaining its ability to support ecosystem functions while meeting engineering requirements.

Hybrid Deep Learning Framework for High-Accuracy Classification of Morphologically Similar Puffball Species Using CNN and Transformer Architectures

mycolabadmin

Scientists developed an artificial intelligence system that can automatically identify eight different types of puffball mushrooms from photographs with 95% accuracy. The study compared five different AI models and found that a modern convolutional neural network called ConvNeXt-Base was the best at telling apart puffball species that look very similar to each other. This technology could help amateur mushroom enthusiasts, researchers, and nature conservationists accurately identify these fungi without needing a microscope or laboratory tests.

Current taxonomic status of the cultivable and uncultivable Paracoccidioides species

mycolabadmin

Researchers have clarified the scientific names and classification of five species of fungus that cause disease in humans and dolphins. Some previously proposed species names were found to be invalid because they didn’t follow proper naming rules. The paper recommends that scientists use updated disease names like paracoccidiodomycosis instead of the older term lobomycosis to maintain consistency in medical terminology.

Anti-Therapeutic Action: Not applicable