Y. Yagi

Spatio-temporal model and machine learning method reveal process of phenological shift under climate change of North Pacific spiny dogfish

The paper uses a spatio-temporal model and machine learning to analyze climate-driven phenological shifts in spiny dogfish migration patterns over 5 decades.

Temperature-dependent fasciation mutants connect mitochondrial RNA processing to the control of cell proliferation during lateral root morphogenesis