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Historical contingency and its biophysical basis in glucocorticoid receptor evolution

Understanding how chance historical events shape evolutionary processes is a central goal of evolutionary biology(1–7). Direct insights into the extent and causes of evolutionary contingency have been limited to experimental systems,(7–9) because it is difficult to know what happened in the deep pas...

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Detalles Bibliográficos
Autores principales: Harms, Michael J., Thornton, Joseph W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4447330/
https://www.ncbi.nlm.nih.gov/pubmed/24930765
http://dx.doi.org/10.1038/nature13410
Descripción
Sumario:Understanding how chance historical events shape evolutionary processes is a central goal of evolutionary biology(1–7). Direct insights into the extent and causes of evolutionary contingency have been limited to experimental systems,(7–9) because it is difficult to know what happened in the deep past and to characterize other paths that evolution could have followed. Here we combine ancestral protein reconstruction, directed evolution, and biophysical analysis to explore alternate “might-have-been” trajectories during the ancient evolution of a novel protein function. We previously found that the evolution of cortisol specificity in the ancestral glucocorticoid receptor (GR) was contingent on permissive substitutions, which had no apparent effect on receptor function but were necessary for GR to tolerate the large-effect mutations that caused the shift in specificity.(6) Here we show that alternative mutations that could have permitted the historical function-switching substitutions are extremely rare in the ensemble of genotypes accessible to the ancestral GR. In a library of thousands of variants of the ancestral protein, we recovered historical permissive substitutions, but no alternate permissive genotypes. Using biophysical analysis, we found that permissive mutations must satisfy at least three physical requirements—they must stabilize specific local elements of the protein structure, maintain the correct energetic balance between functional conformations, and be compatible with the ancestral and derived structures—thus revealing why permissive mutations are rare. These findings demonstrate that GR evolution depended strongly on improbable, nondeterministic events, and this contingency arose from intrinsic biophysical properties of the protein.