Sequence selection in an autocatalytic binary polymer model

TL;DR

This paper investigates how specific sequence patterns emerge and stabilize in an autocatalytic binary polymer system, providing insights into chemical ecosystem evolution and self-organization processes.

Contribution

It introduces an abstract model for chemical evolution, analyzing the emergence, stability, and selection of sequence patterns in autocatalytic polymers.

Findings

Ordered populations with specific sequences spontaneously form

Sequence patterns influence macroscopic cooperative structures

Self-organizing processes exhibit stability and evolutionary dynamics

Abstract

An autocatalytic pattern matching polymer system is studied as an abstract model for chemical ecosystem evolution. Highly ordered populations with particular sequence patterns appear spontaneously out of a vast number of possible states. The interplay between the selected microscopic sequence patterns and the macroscopic cooperative structures is examined. Stability, fluctuations, and evolutionary selection mechanisms are investigated for the involved self-organizing processes.