Evolution of developmental bias explains divergent patterns of phenotypic evolution in two nematode clades
成果类型:
Article
署名作者:
Picao-Osorio, Joao; Bouleau, Charlotte; de la Rosa, Pablo M. Gonzalez; Stevens, Lewis; Fekonja, Nina; Blaxter, Mark; Braendle, Christian; Felix, Marie-Anne
署名单位:
Institut National de la Sante et de la Recherche Medicale (Inserm); Universite PSL; Ecole Normale Superieure (ENS); Centre National de la Recherche Scientifique (CNRS); CNRS - National Institute for Biology (INSB); Institut National de la Sante et de la Recherche Medicale (Inserm); Centre National de la Recherche Scientifique (CNRS); CNRS - National Institute for Biology (INSB); Universite Cote d'Azur; Wellcome Trust Sanger Institute; Universidade de Lisboa
刊物名称:
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
ISSN/ISSBN:
0027-14982
DOI:
10.1073/pnas.2507529122
发表日期:
2025-08-26
关键词:
base-substitution mutation
caenorhabditis-elegans
signaling network
wild populations
oscheius-tipulae
cell lineages
c. elegans
constraints
selection
genetics
摘要:
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.