highly significantP < 2.2 × 10 −16
Given this trend, we fitted a logarithmic model to the data, which was highly significant [linear regression F ST ~ log( D a ), P < 2.2 × 10 −16 ; Pearson correlation coefficient, R 2 = 0.96].
Given this trend, we fitted a logarithmic model to the data, which was highly significant [linear regression F ST ~ log( D a ), P < 2.2 × 10 −16 ; Pearson correlation coefficient, R 2 = 0.96].