Bioinformation Group, Aragon Health Sciences Institute (IACS), 50009 Zaragoza, Spain.
Department of Quantitative Methods for Business and Economy, University of Zaragoza, 50006 Zaragoza, Spain.
Int J Mol Sci. 2021 Nov 4;22(21):11965. doi: 10.3390/ijms222111965.
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.
从分子生物学早期信息术语的最初选择，到当前这个“组学”时代的生物信息学雪崩。然而，这些研究大多是在局部的、专门的范围内进行的，或者只是隐喻性的。在本文中，我们尝试了一种一致的信息论述，最初基于分子识别范式，以一种新的方式解决生物组织的主要阶段。它考虑了信号系统和信息流之间、信息架构和生物分子代码之间、受控制的细胞周期和多细胞复杂性之间的相互联系。它还以一种新的方式解决了一个核心问题：多个变异引擎或为探索 DNA 序列空间而进化的突变“载体”的累积作用如何开辟新的进化途径。本文提倡一种真正的信息论方法来研究进化现象，而不是讨论传统新达尔文主义原则的可能替代、扩展或维护，在这种方法中，信息架构的系统变异可能会导致生物实体在其开放的环境中进行差异化的生存（自我构建、自我维持和繁殖）。
