Chemical Evolution of Early Macromolecules: From Prebiotic Oligopeptides to Self-Organizing Biosystems via Amyloid Formation.

Viktor Farkas, András Perczel, Fruzsina Bencs, Nóra Taricska, Zsolt Dürvanger, Dániel Horváth, Zsolt Fazekas, Vince Grolmusz

Journal: Chemistry (Weinheim an der Bergstrasse, Germany) 2025;31(29):e202404669

PMID: 40197673

Abstract

Short amyloidogenic oligopeptides (APRs) are proposed as early macromolecules capable of forming solvent-separated nanosystems under prebiotic conditions. This study provides experimental evidence that APRs, such as the aggregation-prone oligopeptide A (APR-A), can undergo mutational transitions to form distinct variants and convert to APR-B, either amyloid-like or water-soluble and non-aggregating. These transitions occur along a spectrum from strongly amyloidogenic (pro-amyloid) to weakly amyloidogenic (anti-amyloid), with the mutation sequence order playing a key role in determining their physicochemical properties. The pro-amyloid pathway facilitates heterogeneous phase separation, leading to amyloid-crystal formation with multiple polymorphs, including the first class 3 amyloid topology. By mapping these transitions, we demonstrate the potential co-evolution of water-soluble miniproteins and insoluble amyloids, both of which could have been pivotal in early bio-nanosystem formation. These insights into amyloid modulation provide a crucial step toward understanding amyloid control mechanisms.

© 2025 The Author(s). Chemistry – A European Journal published by Wiley‐VCH GmbH.

Address: ELTE Hevesy György PhD School of Chemistry, ELTE Eötvös Loránd University, Pázmány Péter sétány 1/A, Budapest, H-1117, Hungary.; Laboratory of Structural Chemistry and Biology, Institute of Chemistry, ELTE Eötvös Loránd University, Pázmány Péter sétány 1/A, Budapest, H-1117, Hungary.; Laboratory of Structural Chemistry and Biology, Institute of Chemistry, ELTE Eötvös Loránd University, Pázmány Péter sétány 1/A, Budapest, H-1117, Hungary.; HUN-REN-ELTE Protein Modeling Research Group, ELTE Eötvös Loránd University, Pázmány Péter sétány 1/A, Budapest, H-1117, Hungary.; Group of Protein Information Technology, Department of Computer Science, ELTE Eötvös Loránd University, Pázmány Péter sétány 1/C, Budapest, H-1117, Hungary.

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