RNA World Modeling: A Comparison of Two Complementary Approaches

The origin of life remains one of the major scientific questions in modern biology. Among many hypotheses aiming to explain how life on Earth started, RNA world is probably the most extensively studied. It assumes that, in the very beginning, RNA molecules served as both enzymes and as genetic infor...

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Main Authors: Jaroslaw Synak, Agnieszka Rybarczyk, Jacek Blazewicz
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/24/4/536
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author Jaroslaw Synak
Agnieszka Rybarczyk
Jacek Blazewicz
author_facet Jaroslaw Synak
Agnieszka Rybarczyk
Jacek Blazewicz
author_sort Jaroslaw Synak
collection DOAJ
description The origin of life remains one of the major scientific questions in modern biology. Among many hypotheses aiming to explain how life on Earth started, RNA world is probably the most extensively studied. It assumes that, in the very beginning, RNA molecules served as both enzymes and as genetic information carriers. However, even if this is true, there are many questions that still need to be answered—for example, whether the population of such molecules could achieve stability and retain genetic information for many generations, which is necessary in order for evolution to start. In this paper, we try to answer this question based on the parasite–replicase model (RP model), which divides RNA molecules into enzymes (RNA replicases) capable of catalyzing replication and parasites that do not possess replicase activity but can be replicated by RNA replicases. We describe the aforementioned system using partial differential equations and, based on the analysis of the simulation, surmise general rules governing its evolution. We also compare this approach with one where the RP system is modeled and implemented using a multi-agent modeling technique. We show that approaching the description and analysis of the RP system from different perspectives (microscopic represented by MAS and macroscopic depicted by PDE) provides consistent results. Therefore, applying MAS does not lead to erroneous results and allows us to study more complex situations where many cases are concerned, which would not be possible through the PDE model.
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spelling doaj.art-440b574dcde249859d3ca29de5bf57002023-12-01T20:51:13ZengMDPI AGEntropy1099-43002022-04-0124453610.3390/e24040536RNA World Modeling: A Comparison of Two Complementary ApproachesJaroslaw Synak0Agnieszka Rybarczyk1Jacek Blazewicz2Institute of Computing Science, Poznan University of Technology, 60-965 Poznan, PolandInstitute of Computing Science, Poznan University of Technology, 60-965 Poznan, PolandInstitute of Computing Science, Poznan University of Technology, 60-965 Poznan, PolandThe origin of life remains one of the major scientific questions in modern biology. Among many hypotheses aiming to explain how life on Earth started, RNA world is probably the most extensively studied. It assumes that, in the very beginning, RNA molecules served as both enzymes and as genetic information carriers. However, even if this is true, there are many questions that still need to be answered—for example, whether the population of such molecules could achieve stability and retain genetic information for many generations, which is necessary in order for evolution to start. In this paper, we try to answer this question based on the parasite–replicase model (RP model), which divides RNA molecules into enzymes (RNA replicases) capable of catalyzing replication and parasites that do not possess replicase activity but can be replicated by RNA replicases. We describe the aforementioned system using partial differential equations and, based on the analysis of the simulation, surmise general rules governing its evolution. We also compare this approach with one where the RP system is modeled and implemented using a multi-agent modeling technique. We show that approaching the description and analysis of the RP system from different perspectives (microscopic represented by MAS and macroscopic depicted by PDE) provides consistent results. Therefore, applying MAS does not lead to erroneous results and allows us to study more complex situations where many cases are concerned, which would not be possible through the PDE model.https://www.mdpi.com/1099-4300/24/4/536RNA worldpartial differential equationsmulti-agent systems
spellingShingle Jaroslaw Synak
Agnieszka Rybarczyk
Jacek Blazewicz
RNA World Modeling: A Comparison of Two Complementary Approaches
Entropy
RNA world
partial differential equations
multi-agent systems
title RNA World Modeling: A Comparison of Two Complementary Approaches
title_full RNA World Modeling: A Comparison of Two Complementary Approaches
title_fullStr RNA World Modeling: A Comparison of Two Complementary Approaches
title_full_unstemmed RNA World Modeling: A Comparison of Two Complementary Approaches
title_short RNA World Modeling: A Comparison of Two Complementary Approaches
title_sort rna world modeling a comparison of two complementary approaches
topic RNA world
partial differential equations
multi-agent systems
url https://www.mdpi.com/1099-4300/24/4/536
work_keys_str_mv AT jaroslawsynak rnaworldmodelingacomparisonoftwocomplementaryapproaches
AT agnieszkarybarczyk rnaworldmodelingacomparisonoftwocomplementaryapproaches
AT jacekblazewicz rnaworldmodelingacomparisonoftwocomplementaryapproaches