Data from: Machine learning based detection of adaptive divergence of the stream mayfly Ephemera strigata populations

Bin Li, Sakiko Yaegashi, Thaddeus M. Carvajal, Maribet Gamboa, Ming-Chih Chiu, Zongming Ren & Kozo Watanabe
Adaptive divergence is a key mechanism shaping the genetic variation of natural populations. A central question linking ecology with evolutionary biology is how spatial environmental heterogeneity can lead to adaptive divergence among local populations within a species. In this study, using a genome scan approach to detect candidate loci under selection, we examined adaptive divergence of the stream mayfly Ephemera strigata in the Natori River Basin in north eastern Japan. We applied a new machine...
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These counts follow the COUNTER Code of Practice, meaning that Internet robots and repeats within a certain time frame are excluded.
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