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Probing the energy landscape of α-Synuclein amyloid fibril formation by systematic K-to-Q mutagenesis

Created on 04 Nov 2025

Authors

Kunka, A., Farzadfard, A., Larsen, J. A., Saraceno, F., Norrild, R. K., Fricke, C., Mohammad-Beigi, H., Sadek, A., Folke, J., Aznar, S., Buell, A. K.

Abstract

The aggregation of natively disordered alpha-Synuclein (aSyn) into amyloid fibrils is a hallmark of Parkinson's and other neurodegenerative diseases. Understanding aSyn's pathological role remains a major challenge due to its complex, context-dependent energy landscape characterized by conformational plasticity and fibril polymorphism. Here, we present a systematic mutational analysis as a quantitative probe of the aSyn energy landscape, focusing on electrostatic contributions to key aggregation pathways. We engineered aSyn variants with one to eight lysine-to-glutamine substitutions and analyzed their aggregation under controlled conditions to delineate their effects on nucleation, elongation, seed amplification, fibril stability, and fibril polymorphism. We find that aSyn aggregation from a homogenous solution can be modelled well using global properties, including protein concentration, charge, and ionic strength. Microscopic pathways and the resulting fibril polymorphs are instead modulated by sequence-specific effects. We identify mutations of residues found in fibril cores as perturbations that significantly modify the aSyn free energy landscape, creating pathways and energy minima not accessible to the WT under the same experimental conditions. In contrast, mutations outside of the fibril core affect the magnitude of the relevant energy barriers whilst overall maintaining a WT-like free energy landscape. Our work outlines a scalable, quantitative framework that increases the informational output of the mutational studies of aSyn using conventional assays. The approach can be extended by incorporating additional mutational and functional data to deepen our understanding of aSyn's energy landscape and its role in health and disease.

Preprint server: bioRxiv
The authors list and abstract were imported from bioRxiv on 04 Nov 2025.

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