Next-generation sequencing reveals how RNA catalysts evolve from random space.

Area of Science:

• Biochemistry
• Molecular Biology
• Evolutionary Biology

Background:

• Catalytic RNAs, or ribozymes, are crucial for understanding molecular evolution.
• Studying the evolution of RNA libraries from random sequences to active catalysts provides insights into biological processes.

Purpose of the Study:

• To analyze the evolutionary pathways of Diels-Alderase ribozymes using next-generation sequencing.
• To understand how mutations and selection shape ribozyme populations and catalytic efficiency.

Main Methods:

• Analysis of original samples from Diels-Alderase ribozyme discovery via next-generation sequencing.
• Correlation of RNA abundance with catalytic performance using known structure-activity relationships.
• Application of next-generation sequencing to a less characterized ribozyme selection.

Main Results:

• Efficient catalysts emerge from the improvement of less potent precursors via mutations.
• Ribozyme populations change dynamically under increasing selection pressure.
• Highly diverse libraries persist even after extensive enrichment, indicating abundant catalytic potential.

Conclusions:

• Ribozyme evolution involves both selection for reactivity and mutational improvement of precursors.
• Next-generation sequencing is a powerful tool for in vitro selection analysis.
• Principles of ribozyme selection can guide future efforts for more efficient catalyst design and improvement.