Evolution of developmental bias explains divergent patterns of phenotypic evolution in two nematode clades
Abstract
Rates of phenotypic evolution vary across traits, and these evolutionary patterns themselves evolve. Understanding how development contributes to such patterns remains a challenge because it requires large-scale measurement of phenotypic variation resulting from random mutations across multiple species. Using the experimentally tractable system of nematode vulval development, we quantified the evolution and mutational sensitivity of six cell fates across two clades. First, we find that the cell whose fate evolves fastest is distinct for each clade: P3.p in Caenorhabditis and P4.p in Oscheius . Second, we show that this evolutionary pattern matches the pattern of variation within species of each clade. Third, we find that within each clade, the differential effect on each cell of random mutation, quantified as their mutational phenotypic variance, is sufficient to explain the observed phenotypic evolution. Finally, we propose that the difference between clades is explained by a simple spatial shift across cells of the sensitive region in a Wnt dose–response curve. These findings underscore the importance of integrating the evolving structure of the genotype–phenotype map and measures of developmental sensitivity into the understanding of phenotypic change at both micro- and macroevolutionary scales.
Article Details
Journal Info
Proceedings of the National Academy of Sciences
National Academy of Sciences
Authors (8)
Joao Picao-Osorio
Institut de Biologie de l’École Normale Supérieure, CNRS UMR8197, Inserm, Ecole Normale Supérieure
Charlotte Bouleau
Institut de Biologie Valrose, Université Côte d’Azur, CNRS UMR7277, Inserm
Pablo M. Gonzalez de la Rosa
Tree of Life, Wellcome Sanger Institute
Lewis Stevens
Tree of Life, Wellcome Sanger Institute
Nina Fekonja
Institut de Biologie de l’École Normale Supérieure, CNRS UMR8197, Inserm, Ecole Normale Supérieure
Mark Blaxter
Christian Braendle
Institut de Biologie Valrose, Université Côte d’Azur, CNRS UMR7277, Inserm
Marie-Anne Félix
Institut de Biologie de l’École Normale Supérieure, CNRS UMR8197, Inserm, Ecole Normale Supérieure