Data from: Many-to-one form-to-function mapping weakens parallel morphological evolution

Cole J. Thompson, Newaz Ahmed, Thor Veen, Catherine Lynn Peichel, Andrew P. Hendry, Daniel I. Bolnick & Yoel E. Stuart
Evolutionary ecologists aim to explain and predict evolutionary change under different selective regimes. Theory suggests that such evolutionary prediction should be more difficult for biomechanical systems in which different trait combinations generate the same functional output: “many-to-one mapping”. Many-to-one mapping of phenotype to function enables multiple morphological solutions to meet the same adaptive challenges. Therefore, many-to-one mapping should undermine parallel morphological evolution, and hence evolutionary predictability, even when selection pressures are shared among populations. Studying...
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