Researchers from North Carolina State University and the University of Colorado, Boulder, have developed a statistical model that allows them to tell where a dust sample came from within the ...

RNA and DNA sequences from fungal samples were generated by next-generation sequencing (NGS) and functionally annotated using the new workflow to construct a comprehensive annotation table. The ...

If you liked this story, share it with other people. Researchers are using remote-sensing technology and machine-learning algorithms to map and predict the presence of mycorrhizal fungi in ecosystems ...

In a step toward bridging the gap between fungal taxonomy and molecular ecology, scientists have characterized a sample of "mystery" fungus collected in North Carolina and found its home in the fungal ...

The fungal kingdom is rich and expansive, but scientists estimate that only about 10 percent of the total number of fungal species has been described and characterized. When microbiologist Diego ...

Whether you’re standing in a forest, on a field of grass, or even on that square of soil that surrounds a tree planted along a city sidewalk, under your feet is vast network of fungal filaments. Finer ...

Researchers have developed a statistical model that allows them to tell where a dust sample came from within the continental United States based on the DNA of fungi found in the sample. The work ...

While RNA sequencing (RNA-seq) has become a standard tool for profiling which genes are active in an organism, determining the actual biological functions of those genes in fungi remains a significant ...