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Emergence and evolution of an interaction between intrinsically disordered proteins
Greta Hultqvist1, Emma Åberg1, Carlo Camilloni2,3,4
1Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden.
Elife
|April 12, 2017
Summary
Intrinsically disordered protein interactions evolve from weak complexes to stronger ones, optimizing dynamics and mutations for new functions. This study traces the evolution of CID and NCBD interactions over 450-600 million years.
Area of Science:
- Evolutionary biology
- Molecular biology
- Biophysics
Background:
- Protein-protein interactions involving intrinsically disordered proteins (IDPs) are crucial for cellular functions across all organisms.
- The molecular mechanisms underlying the emergence and evolution of these interactions remain largely unknown.
Purpose of the Study:
- To investigate the evolutionary trajectory of protein-protein interactions involving intrinsically disordered protein domains.
- To elucidate the molecular basis for the evolution of interaction affinity and specificity.
Main Methods:
- Phylogenetic reconstruction and ancestral protein resurrection of two interacting disordered domains, CID and NCBD.
- Biophysical characterization of ancient and modern CID/NCBD complexes using techniques like NMR.
- Molecular modeling to understand the role of dynamics and mutations in interaction evolution.
Main Results:
- The NCBD domain predates the protostome/deuterostome ancestor, while the CID domain emerged later, approximately 450-600 million years ago.
- The earliest CID/NCBD complex exhibited weak binding affinity (Kd ~5 µM), which significantly increased to ~200 nM after the vertebrate-specific genome duplication.
- This enhanced affinity was conserved throughout subsequent speciation, suggesting a stable evolutionary adaptation.
Conclusions:
- New interactions involving intrinsically disordered proteins may originate from low-affinity complexes.
- Evolutionary optimization involves modulating direct interactions and dynamics, while tolerating potentially disruptive mutations.
- This provides a framework for understanding how complex protein interaction networks evolve from simpler precursors.