生物张力完整性是生物学的超稳定性假说

IF 1.9 4区 生物学 Q2 BIOLOGY
Graham Scarr , Leonid Blyum , Stephen M. Levin , Susan Lowell de Solórzano
{"title":"生物张力完整性是生物学的超稳定性假说","authors":"Graham Scarr ,&nbsp;Leonid Blyum ,&nbsp;Stephen M. Levin ,&nbsp;Susan Lowell de Solórzano","doi":"10.1016/j.biosystems.2025.105569","DOIUrl":null,"url":null,"abstract":"<div><div>Biotensegrity models living systems in ways that were inconceivable in the past but has taken some time to become widely accepted because of its challenges to generally accepted wisdom. Orthodox biomechanics is essentially based on mechanistic models from the seventeenth century and allowed over-simplified representations of anatomy and motion to persist to the present day, with the approximations and assumptions inherent within its methods routinely overlooked. Living organisms, however, are hugely complex, intrinsically indeterminate and exist in states that are far from equilibrium, and although their simplification within the machine model has enabled great progress in the mapping of structure to function — and benefitted our healthcare systems in remarkable ways — it has also obfuscated the foundational basis for stability, motion and life itself.</div><div>In contrast, biotensegrity is a conceptual framework that is founded on a fundamental set of self-organizing principles and includes all the complexities of life — at every heterarchical level from viruses to vertebrates and molecules to the whole organism — with stability and motion controlled from within the structure itself and the homeostatic algorithm of super-stability. Here, anatomy is no longer reduced to a set of discrete parts but becomes the physical representation of a hugely complex pattern of interacting force vectors, and which are themselves organized within a complex tensegrity configuration that enables each part of the system to adapt to its locally-changing environment in the most energy-efficient way — from embryo to adult — and remain intrinsically stable throughout.</div></div>","PeriodicalId":50730,"journal":{"name":"Biosystems","volume":"256 ","pages":"Article 105569"},"PeriodicalIF":1.9000,"publicationDate":"2025-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Biotensegrity is the super-stability hypothesis for biology\",\"authors\":\"Graham Scarr ,&nbsp;Leonid Blyum ,&nbsp;Stephen M. Levin ,&nbsp;Susan Lowell de Solórzano\",\"doi\":\"10.1016/j.biosystems.2025.105569\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Biotensegrity models living systems in ways that were inconceivable in the past but has taken some time to become widely accepted because of its challenges to generally accepted wisdom. Orthodox biomechanics is essentially based on mechanistic models from the seventeenth century and allowed over-simplified representations of anatomy and motion to persist to the present day, with the approximations and assumptions inherent within its methods routinely overlooked. Living organisms, however, are hugely complex, intrinsically indeterminate and exist in states that are far from equilibrium, and although their simplification within the machine model has enabled great progress in the mapping of structure to function — and benefitted our healthcare systems in remarkable ways — it has also obfuscated the foundational basis for stability, motion and life itself.</div><div>In contrast, biotensegrity is a conceptual framework that is founded on a fundamental set of self-organizing principles and includes all the complexities of life — at every heterarchical level from viruses to vertebrates and molecules to the whole organism — with stability and motion controlled from within the structure itself and the homeostatic algorithm of super-stability. Here, anatomy is no longer reduced to a set of discrete parts but becomes the physical representation of a hugely complex pattern of interacting force vectors, and which are themselves organized within a complex tensegrity configuration that enables each part of the system to adapt to its locally-changing environment in the most energy-efficient way — from embryo to adult — and remain intrinsically stable throughout.</div></div>\",\"PeriodicalId\":50730,\"journal\":{\"name\":\"Biosystems\",\"volume\":\"256 \",\"pages\":\"Article 105569\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2025-08-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biosystems\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0303264725001790\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biosystems","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0303264725001790","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

生物张力完整性以过去不可想象的方式模拟生命系统,但由于它对普遍接受的智慧的挑战,需要一段时间才能被广泛接受。正统的生物力学本质上是建立在17世纪的机械模型的基础上的,并且允许过度简化的解剖和运动表征一直持续到今天,其方法中固有的近似和假设通常被忽视。然而,生物是非常复杂的,本质上是不确定的,并且存在于远离平衡的状态中,尽管它们在机器模型中的简化使结构到功能的映射取得了巨大进展,并以显着的方式使我们的医疗保健系统受益,但它也混淆了稳定性,运动和生命本身的基础。相比之下,生物张力完整性是一个概念框架,它建立在一套基本的自组织原则之上,包括生命的所有复杂性——从病毒到脊椎动物,从分子到整个生物体的每一个异质层次——其稳定性和运动由结构本身和超稳定性的稳态算法控制。在这里,解剖不再被简化为一组离散的部分,而是成为一个非常复杂的相互作用力矢量模式的物理表示,这些相互作用力矢量本身被组织在一个复杂的张拉整体结构中,使系统的每个部分能够以最节能的方式适应其局部变化的环境-从胚胎到成人-并始终保持内在稳定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Biotensegrity is the super-stability hypothesis for biology
Biotensegrity models living systems in ways that were inconceivable in the past but has taken some time to become widely accepted because of its challenges to generally accepted wisdom. Orthodox biomechanics is essentially based on mechanistic models from the seventeenth century and allowed over-simplified representations of anatomy and motion to persist to the present day, with the approximations and assumptions inherent within its methods routinely overlooked. Living organisms, however, are hugely complex, intrinsically indeterminate and exist in states that are far from equilibrium, and although their simplification within the machine model has enabled great progress in the mapping of structure to function — and benefitted our healthcare systems in remarkable ways — it has also obfuscated the foundational basis for stability, motion and life itself.
In contrast, biotensegrity is a conceptual framework that is founded on a fundamental set of self-organizing principles and includes all the complexities of life — at every heterarchical level from viruses to vertebrates and molecules to the whole organism — with stability and motion controlled from within the structure itself and the homeostatic algorithm of super-stability. Here, anatomy is no longer reduced to a set of discrete parts but becomes the physical representation of a hugely complex pattern of interacting force vectors, and which are themselves organized within a complex tensegrity configuration that enables each part of the system to adapt to its locally-changing environment in the most energy-efficient way — from embryo to adult — and remain intrinsically stable throughout.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Biosystems
Biosystems 生物-生物学
CiteScore
3.70
自引率
18.80%
发文量
129
审稿时长
34 days
期刊介绍: BioSystems encourages experimental, computational, and theoretical articles that link biology, evolutionary thinking, and the information processing sciences. The link areas form a circle that encompasses the fundamental nature of biological information processing, computational modeling of complex biological systems, evolutionary models of computation, the application of biological principles to the design of novel computing systems, and the use of biomolecular materials to synthesize artificial systems that capture essential principles of natural biological information processing.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信