Plausible Emergence of Autocatalytic Cycles under Prebiotic Conditions
The emergence of life in a prebiotic world is an enormous scientific question of paramount philosophical importance. Even when life (in any sense we can define it) can be observed and replicated in the laboratory, it is only an indication of one possible pathway for life emergence, and is by no mean...
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doaj-b74cfef7f518456e871449f0342478062020-11-25T01:08:40ZengMDPI AGLife2075-17292019-04-01923310.3390/life9020033life9020033Plausible Emergence of Autocatalytic Cycles under Prebiotic ConditionsStefano Piotto0Lucia Sessa1Andrea Piotto2Anna Maria Nardiello3Simona Concilio4Department of Pharmacy, University of Salerno, Via Giovanni Paolo II, 132, 84084 Fisciano SA, ItalyDepartment of Pharmacy, University of Salerno, Via Giovanni Paolo II, 132, 84084 Fisciano SA, ItalyDepartment of Pharmacy, University of Salerno, Via Giovanni Paolo II, 132, 84084 Fisciano SA, ItalyDepartment of Pharmacy, University of Salerno, Via Giovanni Paolo II, 132, 84084 Fisciano SA, ItalyDepartment of Industrial Engineering, University of Salerno, Via Giovanni Paolo II, 132, 84084 Fisciano SA, ItalyThe emergence of life in a prebiotic world is an enormous scientific question of paramount philosophical importance. Even when life (in any sense we can define it) can be observed and replicated in the laboratory, it is only an indication of one possible pathway for life emergence, and is by no means be a demonstration of how life really emerged. The best we can hope for is to indicate plausible chemical–physical conditions and mechanisms that might lead to self-organizing and autopoietic systems. Here we present a stochastic simulation, based on chemical reactions already observed in prebiotic environments, that might help in the design of new experiments. We will show how the definition of simple rules for the synthesis of random peptides may lead to the appearance of networks of autocatalytic cycles and the emergence of memory.https://www.mdpi.com/2075-1729/9/2/33origin of lifehypercycleMonte Carlo |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Stefano Piotto Lucia Sessa Andrea Piotto Anna Maria Nardiello Simona Concilio |
spellingShingle |
Stefano Piotto Lucia Sessa Andrea Piotto Anna Maria Nardiello Simona Concilio Plausible Emergence of Autocatalytic Cycles under Prebiotic Conditions Life origin of life hypercycle Monte Carlo |
author_facet |
Stefano Piotto Lucia Sessa Andrea Piotto Anna Maria Nardiello Simona Concilio |
author_sort |
Stefano Piotto |
title |
Plausible Emergence of Autocatalytic Cycles under Prebiotic Conditions |
title_short |
Plausible Emergence of Autocatalytic Cycles under Prebiotic Conditions |
title_full |
Plausible Emergence of Autocatalytic Cycles under Prebiotic Conditions |
title_fullStr |
Plausible Emergence of Autocatalytic Cycles under Prebiotic Conditions |
title_full_unstemmed |
Plausible Emergence of Autocatalytic Cycles under Prebiotic Conditions |
title_sort |
plausible emergence of autocatalytic cycles under prebiotic conditions |
publisher |
MDPI AG |
series |
Life |
issn |
2075-1729 |
publishDate |
2019-04-01 |
description |
The emergence of life in a prebiotic world is an enormous scientific question of paramount philosophical importance. Even when life (in any sense we can define it) can be observed and replicated in the laboratory, it is only an indication of one possible pathway for life emergence, and is by no means be a demonstration of how life really emerged. The best we can hope for is to indicate plausible chemical–physical conditions and mechanisms that might lead to self-organizing and autopoietic systems. Here we present a stochastic simulation, based on chemical reactions already observed in prebiotic environments, that might help in the design of new experiments. We will show how the definition of simple rules for the synthesis of random peptides may lead to the appearance of networks of autocatalytic cycles and the emergence of memory. |
topic |
origin of life hypercycle Monte Carlo |
url |
https://www.mdpi.com/2075-1729/9/2/33 |
work_keys_str_mv |
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