S. Yaegashi

Comparison of eDNA, bulk-sample metabarcoding, and morphological approaches: A case study of riverine benthic macroinvertebrate communities

This study compares eDNA, bulk-sample metabarcoding, and morphological methods for assessing riverine benthic macroinvertebrate biodiversity, finding bulk-sample metabarcoding provides finer taxonomic resolution.

Detection of adaptive divergence in populations of the stream mayfly Ephemera strigata with machine learning

This study uses machine learning to detect adaptive divergence in Ephemera strigata populations, finding higher resolution in Random Forest compared to traditional methods and identifying altitudinal adaptation.