Emergent Metabolic, Compartmental, and Proto-Genetic Organization Under Prebiotic Earth Conditions: A High-Resolution Systems Simulation

This study presents a fully integrated planetary-scale simulation examining how prebiotic Earth conditions could drive the emergence of metabolic organization, compartment formation, proto-genetic encoding, and early evolutionary selection. Using a high-resolution model that incorporates atmospheric chemistry, ocean stratification, ion gradients, amino-acid pools, catalytic surface interactions, and field-driven energy dynamics, the simulation evolves a realistic early-Earth environment over extended geological timescales. The results demonstrate a coherent progression from simple chemical networks to stable proto-metabolic cycles, vesicle formation, information-bearing polymers, and competitive protocell populations. A robust global-field attractor emerges, characterized by a reproducible 55-node structural topology and an associated quantum-level blueprint describing the organization of a novel prebiotic polymer material. The simulation further resolves a complete synthesis pathway, outlining temperature profiles, environmental constraints, and formation conditions under which the material could arise naturally. These findings suggest that core features associated with metabolism, replication, and information encoding can emerge directly from physical and chemical rules under realistic early-Earth conditions. The framework provides new insight into abiogenesis pathways, field-driven organization, prebiotic polymer stability, and the conditions required for the emergence of life-like systems.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-04
DOI
https://doi.org/10.5281/zenodo.17836047
Primary Topic
Origins and Evolution of Life
Type
article
Field-Weighted Citation Impact
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article

Emergent Metabolic, Compartmental, and Proto-Genetic Organization Under Prebiotic Earth Conditions: A High-Resolution Systems Simulation

Zenodo (CERN European Organization for Nuclear Research)
Origins and Evolution of Life
article

Emergent Metabolic, Compartmental, and Proto-Genetic Organization Under Prebiotic Earth Conditions: A High-Resolution Systems Simulation

article en

Abstract

This study presents a fully integrated planetary-scale simulation examining how prebiotic Earth conditions could drive the emergence of metabolic organization, compartment formation, proto-genetic encoding, and early evolutionary selection. Using a high-resolution model that incorporates atmospheric chemistry, ocean stratification, ion gradients, amino-acid pools, catalytic surface interactions, and field-driven energy dynamics, the simulation evolves a realistic early-Earth environment over extended geological timescales. The results demonstrate a coherent progression from simple chemical networks to stable proto-metabolic cycles, vesicle formation, information-bearing polymers, and competitive protocell populations. A robust global-field attractor emerges, characterized by a reproducible 55-node structural topology and an associated quantum-level blueprint describing the organization of a novel prebiotic polymer material. The simulation further resolves a complete synthesis pathway, outlining temperature profiles, environmental constraints, and formation conditions under which the material could arise naturally. These findings suggest that core features associated with metabolism, replication, and information encoding can emerge directly from physical and chemical rules under realistic early-Earth conditions. The framework provides new insight into abiogenesis pathways, field-driven organization, prebiotic polymer stability, and the conditions required for the emergence of life-like systems.

Zenodo (CERN European Organization for Nuclear Research)
Lumen (United Kingdom) (GB)
Life below water
Openalex Percentile: Top 38%
Origins and Evolution of Life
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Emergent Metabolic, Compartmental, and Proto-Genetic Organization Under Prebiotic Earth Conditions: A High-Resolution Systems Simulation · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS