Tomoya Nakayama

The paper identifies genetic variants associated with lunar-regulated spawning time in grass puffer fish by analyzing geographic differences in spawning timing and conducting population genomics.

The paper introduces a machine learning framework, ISI, to infer how organisms prioritize environmental signals from time-series data, applied to medaka fish gonadal development under natural conditions, revealing dynamic signal importance and gene expression correlations.

This study identifies phod1 as a gene regulating seasonal energy metabolism via the growth hormone pathway in Japanese medaka fish.