Literature DB >> 34947949

Hitting Times of Some Critical Events in RNA Origins of Life.

Caleb Deen Bastian1, Hershel Rabitz1,2.   

Abstract

Can a replicase be found in the vast sequence space by random drift? We partially answer this question through a proof-of-concept study of the times of occurrence (hitting times) of some critical events in the origins of life for low-dimensional RNA sequences using a mathematical model and stochastic simulation studies from Python software. We parameterize fitness and similarity landscapes for polymerases and study a replicating population of sequences (randomly) participating in template-directed polymerization. Under the ansatz of localization where sequence proximity correlates with spatial proximity of sequences, we find that, for a replicating population of sequences, the hitting and establishment of a high-fidelity replicator depends critically on the polymerase fitness and sequence (spatial) similarity landscapes and on sequence dimension. Probability of hitting is dominated by landscape curvature, whereas hitting time is dominated by sequence dimension. Surface chemistries, compartmentalization, and decay increase hitting times. Compartmentalization by vesicles reveals a trade-off between vesicle formation rate and replicative mass, suggesting that compartmentalization is necessary to ensure sufficient concentration of precursors. Metabolism is thought to be necessary to replication by supplying precursors of nucleobase synthesis. We suggest that the dynamics of the search for a high-fidelity replicase evolved mostly during the final period and, upon hitting, would have been followed by genomic adaptation of genes and to compartmentalization and metabolism, effecting degree-of-freedom gains of replication channel control over domain and state to ensure the fidelity and safe operations of the primordial genetic communication system of life.

Entities:  

Keywords:  RNA world; fitness and similarity sequence landscapes; global sensitivity analysis; high dimensional model representation; hitting times; measure-kernel-function; ordinary differential equation; random counting measure; stochastic simulation algorithm; survival analysis

Year:  2021        PMID: 34947949      PMCID: PMC8705503          DOI: 10.3390/life11121419

Source DB:  PubMed          Journal:  Life (Basel)        ISSN: 2075-1729


  40 in total

1.  Directed evolution of polymerase function by compartmentalized self-replication.

Authors:  F J Ghadessy; J L Ong; P Holliger
Journal:  Proc Natl Acad Sci U S A       Date:  2001-03-27       Impact factor: 11.205

Review 2.  The antiquity of RNA-based evolution.

Authors:  Gerald F Joyce
Journal:  Nature       Date:  2002-07-11       Impact factor: 49.962

3.  Detecting autocatalytic, self-sustaining sets in chemical reaction systems.

Authors:  Wim Hordijk; Mike Steel
Journal:  J Theor Biol       Date:  2004-04-21       Impact factor: 2.691

Review 4.  Evolutionary dynamics of RNA-like replicator systems: A bioinformatic approach to the origin of life.

Authors:  Nobuto Takeuchi; Paulien Hogeweg
Journal:  Phys Life Rev       Date:  2012-06-13       Impact factor: 11.025

5.  Coenzymes as fossils of an earlier metabolic state.

Authors:  H B White
Journal:  J Mol Evol       Date:  1976-03-29       Impact factor: 2.395

6.  Spontaneous network formation among cooperative RNA replicators.

Authors:  Nilesh Vaidya; Michael L Manapat; Irene A Chen; Ramon Xulvi-Brunet; Eric J Hayden; Niles Lehman
Journal:  Nature       Date:  2012-10-17       Impact factor: 49.962

7.  Potato spindle tuber "virus". IV. A replicating, low molecular weight RNA.

Authors:  T O Diener
Journal:  Virology       Date:  1971-08       Impact factor: 3.616

8.  In-ice evolution of RNA polymerase ribozyme activity.

Authors:  James Attwater; Aniela Wochner; Philipp Holliger
Journal:  Nat Chem       Date:  2013-10-20       Impact factor: 24.427

9.  The Origin of Life: Models and Data.

Authors:  Kathryn A Lanier; Loren Dean Williams
Journal:  J Mol Evol       Date:  2017-02-27       Impact factor: 2.395

10.  The replication machinery of LUCA: common origin of DNA replication and transcription.

Authors:  Eugene V Koonin; Mart Krupovic; Sonoko Ishino; Yoshizumi Ishino
Journal:  BMC Biol       Date:  2020-06-09       Impact factor: 7.431

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