Evolution of developmental bias explains divergent patterns of phenotypic evolution in two nematode clades

J Joao Picao-Osorio (Institut de Biologie de l’École Normale Supérieure, CNRS UMR8197, Inserm, Ecole Normale Supérieure) C Charlotte Bouleau (Institut de Biologie Valrose, Université Côte d’Azur, CNRS UMR7277, Inserm) P Pablo M. Gonzalez de la Rosa (Tree of Life, Wellcome Sanger Institute) L Lewis Stevens (Tree of Life, Wellcome Sanger Institute) N Nina Fekonja (Institut de Biologie de l’École Normale Supérieure, CNRS UMR8197, Inserm, Ecole Normale Supérieure) M Mark Blaxter C Christian Braendle (Institut de Biologie Valrose, Université Côte d’Azur, CNRS UMR7277, Inserm) M Marie-Anne Félix (Institut de Biologie de l’École Normale Supérieure, CNRS UMR8197, Inserm, Ecole Normale Supérieure)

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

Volume / Issue Vol. 122, Issue 34
Published August 26, 2025
ISSN 0027-8424
Publisher National Academy of Sciences

Authors (8)

J

Joao Picao-Osorio

Institut de Biologie de l’École Normale Supérieure, CNRS UMR8197, Inserm, Ecole Normale Supérieure

C

Charlotte Bouleau

Institut de Biologie Valrose, Université Côte d’Azur, CNRS UMR7277, Inserm

P

Pablo M. Gonzalez de la Rosa

Tree of Life, Wellcome Sanger Institute

L

Lewis Stevens

Tree of Life, Wellcome Sanger Institute

N

Nina Fekonja

Institut de Biologie de l’École Normale Supérieure, CNRS UMR8197, Inserm, Ecole Normale Supérieure

M

Mark Blaxter

C

Christian Braendle

Institut de Biologie Valrose, Université Côte d’Azur, CNRS UMR7277, Inserm

M

Marie-Anne Félix

Institut de Biologie de l’École Normale Supérieure, CNRS UMR8197, Inserm, Ecole Normale Supérieure