From Molecular Recognition to the “Vehicles” of Evolutionary Complexity: An Informational Approach
Countless informational proposals and models have explored the singular characteristics of biological systems: from the initial choice of information terms in the early days of molecular biology to the current bioinformatic avalanche in this “omic” era. However, this was conducted, most often, withi...
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oai:doaj.org-article:70f5b5ee511f4a4a8b9bf846f7e8d6642021-11-11T17:23:11ZFrom Molecular Recognition to the “Vehicles” of Evolutionary Complexity: An Informational Approach10.3390/ijms2221119651422-00671661-6596https://doaj.org/article/70f5b5ee511f4a4a8b9bf846f7e8d6642021-11-01T00:00:00Zhttps://www.mdpi.com/1422-0067/22/21/11965https://doaj.org/toc/1661-6596https://doaj.org/toc/1422-0067Countless informational proposals and models have explored the singular characteristics of biological systems: from the initial choice of information terms in the early days of molecular biology to the current bioinformatic avalanche in this “omic” era. However, this was conducted, most often, within partial, specialized scopes or just metaphorically. In this paper, we attempt a consistent informational discourse, initially based on the molecular recognition paradigm, which addresses the main stages of biological organization in a new way. It considers the interconnection between signaling systems and information flows, between informational architectures and biomolecular codes, between controlled cell cycles and multicellular complexity. It also addresses, in a new way, a central issue: how new evolutionary paths are opened by the cumulated action of multiple variation engines or mutational ‘vehicles’ evolved for the genomic exploration of DNA sequence space. Rather than discussing the possible replacement, extension, or maintenance of traditional neo-Darwinian tenets, a genuine informational approach to evolutionary phenomena is advocated, in which systemic variation in the informational architectures may induce differential survival (self-construction, self-maintenance, and reproduction) of biological agents within their open ended environment.Pedro C. MarijuánJorge NavarroMDPI AGarticlemolecular recognitioninformational architecturesinformation flowsignaling systemsbiological complexityevolutionary theoryBiology (General)QH301-705.5ChemistryQD1-999ENInternational Journal of Molecular Sciences, Vol 22, Iss 11965, p 11965 (2021) |
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DOAJ |
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molecular recognition informational architectures information flow signaling systems biological complexity evolutionary theory Biology (General) QH301-705.5 Chemistry QD1-999 |
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molecular recognition informational architectures information flow signaling systems biological complexity evolutionary theory Biology (General) QH301-705.5 Chemistry QD1-999 Pedro C. Marijuán Jorge Navarro From Molecular Recognition to the “Vehicles” of Evolutionary Complexity: An Informational Approach |
description |
Countless informational proposals and models have explored the singular characteristics of biological systems: from the initial choice of information terms in the early days of molecular biology to the current bioinformatic avalanche in this “omic” era. However, this was conducted, most often, within partial, specialized scopes or just metaphorically. In this paper, we attempt a consistent informational discourse, initially based on the molecular recognition paradigm, which addresses the main stages of biological organization in a new way. It considers the interconnection between signaling systems and information flows, between informational architectures and biomolecular codes, between controlled cell cycles and multicellular complexity. It also addresses, in a new way, a central issue: how new evolutionary paths are opened by the cumulated action of multiple variation engines or mutational ‘vehicles’ evolved for the genomic exploration of DNA sequence space. Rather than discussing the possible replacement, extension, or maintenance of traditional neo-Darwinian tenets, a genuine informational approach to evolutionary phenomena is advocated, in which systemic variation in the informational architectures may induce differential survival (self-construction, self-maintenance, and reproduction) of biological agents within their open ended environment. |
format |
article |
author |
Pedro C. Marijuán Jorge Navarro |
author_facet |
Pedro C. Marijuán Jorge Navarro |
author_sort |
Pedro C. Marijuán |
title |
From Molecular Recognition to the “Vehicles” of Evolutionary Complexity: An Informational Approach |
title_short |
From Molecular Recognition to the “Vehicles” of Evolutionary Complexity: An Informational Approach |
title_full |
From Molecular Recognition to the “Vehicles” of Evolutionary Complexity: An Informational Approach |
title_fullStr |
From Molecular Recognition to the “Vehicles” of Evolutionary Complexity: An Informational Approach |
title_full_unstemmed |
From Molecular Recognition to the “Vehicles” of Evolutionary Complexity: An Informational Approach |
title_sort |
from molecular recognition to the “vehicles” of evolutionary complexity: an informational approach |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/70f5b5ee511f4a4a8b9bf846f7e8d664 |
work_keys_str_mv |
AT pedrocmarijuan frommolecularrecognitiontothevehiclesofevolutionarycomplexityaninformationalapproach AT jorgenavarro frommolecularrecognitiontothevehiclesofevolutionarycomplexityaninformationalapproach |
_version_ |
1718432123061272576 |