The Three Fundamental Laws of Genetic Information Dynamics

The Three Fundamental Laws of Genetic Information Dynamics | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 30 September 2025 V1 Latest version Share on The Three Fundamental Laws of Genetic Information Dynamics Authors : Dongqi Liu 0009-0006-4018-9292 and shifa liu 0009-0003-6570-2812 [email protected] Authors Info & Affiliations https://doi.org/10.22541/au.175925381.11962333/v1 246 views 112 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract 本研究为生物学建立了严谨的理论框架通过遗传信息的三个基本规律进行遗传动力学。我们引入可衡量的作定义概念参数：遗传信息 （GI） 量化功能结构， 遗传信息熵 （GIE） 测量变异电位，和遗传信息单元（GIU）作为最小功能模块。数学上一致的框架解决了长期存在的紧张关系遗传稳定性和进化性之间，通过多尺度 EXPER 验证从分子遗传学到古生物学的心理证据。这个理论能够对进化转变和疾病进行定量预测不求助于物理类比的机制。所有数学衍生 Supplementary Material File (inf1.pdf) Download 340.54 KB Information & Authors Information Version history V1 Version 1 30 September 2025 Copyright This work is licensed under a Creative Commons Attribution 4.0 International License Keywords functional transition genetic information conservation information entropy inheritance laws molecular evolution quantitative biology Authors Affiliations Dongqi Liu 0009-0006-4018-9292 View all articles by this author shifa liu 0009-0003-6570-2812 [email protected] View all articles by this author Metrics & Citations Metrics Article Usage 246 views 112 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Dongqi Liu, shifa liu. 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