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Functional Constitutional Dynamic Networks Revealing Evolutionary Reproduction/Variation/Selection Principles
Author(s) -
Liang Yue,
Shan Wang,
Itamar Willner
Publication year - 2020
Publication title -
journal of the american chemical society
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 7.115
H-Index - 612
eISSN - 1520-5126
pISSN - 0002-7863
DOI - 10.1021/jacs.0c05669
Subject(s) - selection (genetic algorithm) , variation (astronomy) , computational biology , construct (python library) , cleave , nucleic acid , modern evolutionary synthesis , natural selection , chemistry , throughput , computer science , artificial intelligence , evolutionary biology , computer network , biology , dna , physics , biochemistry , telecommunications , astrophysics , wireless
Within the broad research efforts to engineer chemical pathways to yield high-throughput evolutionary synthesis of genes and their screening for dictated functionalities, we introduce the evolution of nucleic-acid-based constitutional dynamic networks (CDNs) that follow reproduction/variation/selection principles. These fundamental principles are demonstrated by assembling a library of nucleic-acid strands and hairpins as functional modules for evolving networks. Primary T 1 -initiated selection of components from the library assembles a parent CDN X, where the evolved constituents exhibit catalytic properties to cleave the hairpins in the library. Cleavage of the hairpins yields fragments, which reproduces T 1 to replicate CDN X, whereas the other fragments T 2 and T 3 select other components to evolve two other CDNs, Y and Z (variation). By applying appropriate counter triggers, we demonstrate the guided selection of networks from the evolved CDNs. By integrating additional hairpin substrates into the system, CDN-dictated emergent catalytic transformations are accomplished. The study provides pathways to construct evolutionary dynamic networks revealing enhanced gated and cascaded functions.

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