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DNA-Tethered RNA Polymerase for Programmable In vitro Transcription and Molecular Computation
Published on: December 29, 2021
Less can be more: RNA-adapters may enhance coding capacity of replicators
Folkert K de Boer1, Paulien Hogeweg
1Theoretical Biology and Bioinformatics, Universiteit Utrecht, Utrecht, The Netherlands. fkdeboer@gmail.com
Plos One
|February 1, 2012
Summary
RNA modification mechanisms in protocells, like RNA-adapters, enhance complexity and coding capacity under high mutation rates, overcoming limitations of early RNA-only replicators.
Area of Science:
- Origin of Life Studies
- Molecular Evolution
- Systems Biology
Background:
- The RNA world hypothesis posits that RNA replicators preceded DNA and proteins.
- Complexity in modern organisms arose from these early RNA replicators.
- RNA molecules extensively modify other RNAs in contemporary life, suggesting a role in early evolution.
Purpose of the Study:
- To investigate the role of RNA-RNA modification in the evolution of prebiotic complexity.
- To model protocell evolution incorporating RNA-based self-modification tools.
- To understand how RNA-adapters influence genotype-phenotype mapping and coding capacity.
Main Methods:
- Modeling protocell evolution with RNA replicators.
- Incorporating RNA-adapters for sequence modification via antisense base-pairing.
- Studying evolution towards specific functional RNA structures while avoiding toxic misfolded structures.
- Analyzing the impact of mutation rates and redundant coding on evolvability.
Main Results:
- Protocells with RNA-modification capabilities achieve high fitness even under high mutation rates.
- Toxicity of misfolded RNA structures impedes self-modification machinery evolution.
- High mutation rates can paradoxically promote complex coding structure evolution by reducing redundant coding.
- RNA-adapters enhance genotype-phenotype mapping, increasing genome coding capacity.
Conclusions:
- RNA-RNA modification is a viable mechanism for increasing complexity in early replicators.
- The evolution of self-modification is sensitive to mutation rates and the cost of non-functional structures.
- Protocell models demonstrate how RNA-adapters can overcome information thresholds and enhance genome efficiency.
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