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Updated: Jan 21, 2026

Primer-Free Aptamer Selection Using A Random DNA Library

Primer-Free Aptamer Selection Using A Random DNA Library

Published on: July 26, 2010

Selection strategies for randomly partitioned genetic replicators.

Anton S Zadorin¹, Yannick Rondelez¹

¹Laboratoire Gulliver, CNRS, ESPCI Paris, PSL Research University, 75005 Paris, France.

Physical Review. E

|July 24, 2019

Summary

This summary is machine-generated.

Compartments are crucial for natural selection by linking genes to their traits. Randomly sharing compartments among replicators can blur this link, but its negative impact is often minimal and can even be beneficial in some cases.

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Area of Science:

Evolutionary Biology
Systems Biology
Biophysics

Background:

Replication of natural and artificial entities relies on host compartments for expressing necessary compounds.
Compartments maintain genotype-phenotype linkage by localizing expressed compounds, crucial for natural selection.
Random partitioning of replicators into host compartments can lead to multiple occupancy, potentially disrupting genotype-phenotype linkage.

Purpose of the Study:

To mathematically model the impact of random multiple occupancy in host compartments on the effectiveness of natural selection.
To investigate how replicator population polymorphism and internal replication dynamics influence selection under multiple occupancy.
To evaluate the potential benefits of higher mean occupancy for phenotypic diversity and selection efficiency.

Main Methods:

Derivation of selection equations to analyze random multiple occupancy scenarios.
Mathematical modeling of replicator population dynamics within host compartments.
Analysis of genotype-phenotype linkage under varying occupancy ratios and population structures.

Main Results:

The negative effects of random multiple occupancy on natural selection are generally less severe than anticipated.
In specific circumstances, random multiple occupancy may not impair selection effectiveness at all.
Higher mean occupancy can facilitate larger populations, enhancing phenotypic diversity and exploration.

Conclusions:

Random multiple occupancy in host compartments poses a limited threat to the effectiveness of natural selection.
Compartmental strategies with higher mean occupancy can be advantageous for exploring phenotypic diversity and improving selection efficiency in both natural and artificial systems.