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ZENODO
Preprint . 2025
License: CC BY NC SA
Data sources: ZENODO
ZENODO
Preprint . 2025
License: CC BY NC SA
Data sources: Datacite
ZENODO
Preprint . 2025
License: CC BY NC SA
Data sources: Datacite
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RNA-DNA-Protein-Environment Model: A Simulation Study Challenging the RNA World Hypothesis

Authors: Reza Hashemi;

RNA-DNA-Protein-Environment Model: A Simulation Study Challenging the RNA World Hypothesis

Abstract

The RNA World Hypothesis posits that RNA alone initiated life through self-replication and catalysis. However, its fragility under prebiotic conditions—such as UV radiation, temperature fluctuations, and reactive oxygen species—casts doubt on its sufficiency. This study introduces the RNA-DNA-Protein-Environment (RDPE) model, proposing that RNA, DNA, and proteins emerged and interacted randomly in a prebiotic milieu, with environmental pressures, time, and natural selection shaping their evolution by accumulating beneficial changes rather than transferring information directly. Using non-linear simulations across five systems—enucleated Xenopus oocytes, nucleated oocytes, cytoplasts, liposomes, and free mitochondria—we demonstrate how RNA’s mutability, DNA’s stability, and proteins’ protective roles, driven by environmental dynamics, could have fueled prebiotic evolution. This model, supported by statistical validation and proposed experiments with 1300 Xenopus oocytes, offers a robust alternative to the RNA World Hypothesis, emphasizing a gradual, selection-driven process over a singular molecular origin.

Keywords

RNA World, RNA-DNA-Protein-Environment, prebiotic evolution, simulation, peptides, Xenopus oocytes

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green