BiosystemsPub Date : 2026-01-01Epub Date: 2025-12-12DOI: 10.1016/j.biosystems.2025.105676
C. Galli , M.T. Colangelo , M. Meleti , S. Guizzardi
{"title":"Morphospace engineering: Morphological computation in scaffold design","authors":"C. Galli , M.T. Colangelo , M. Meleti , S. Guizzardi","doi":"10.1016/j.biosystems.2025.105676","DOIUrl":"10.1016/j.biosystems.2025.105676","url":null,"abstract":"<div><div>Scaffold geometry does more than support tissue—it encodes the rules by which matter organizes into function. Morphology operates as a generative constraint, transforming physical configuration into causal instruction. From molecular folding to cellular migration, form computes what matter can become. This work formalizes that principle across scales: using cellular automata as minimal models of morphogenesis and extending the same logic to scaffold design for tissue regeneration. Each scaffold can be described as a point in a high-dimensional morphospace whose axes—curvature, porosity, stiffness, fiber orientation—act as local update rules guiding cell behavior. Within this space, a viability kernel delineates the geometries that sustain growth and differentiation. By treating geometry as computation, bioengineering shifts from designing materials that contain life to shaping forms that generate it—a shape-first paradigm where the causal arrow runs from form to function.</div></div>","PeriodicalId":50730,"journal":{"name":"Biosystems","volume":"259 ","pages":"Article 105676"},"PeriodicalIF":1.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145758198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
BiosystemsPub Date : 2026-01-01Epub Date: 2025-11-12DOI: 10.1016/j.biosystems.2025.105656
Daniela J. de Sousa , Maira A. Cardoso , Helena M.M. Araujo , Francisco J.P. Lopes , Bruno A.N. Travençolo
{"title":"Computational image analysis from the transverse plane of Drosophila embryos","authors":"Daniela J. de Sousa , Maira A. Cardoso , Helena M.M. Araujo , Francisco J.P. Lopes , Bruno A.N. Travençolo","doi":"10.1016/j.biosystems.2025.105656","DOIUrl":"10.1016/j.biosystems.2025.105656","url":null,"abstract":"<div><div>The constant improvement in molecular biology techniques, as well as the continuous advances in optical microscopy, has generated an unmet demand for new tools for the analysis and processing of digital images. In this paper, we present and validate a new computational approach for quantitative analysis of mRNA and protein spatial profiles extracted from transverse-plane images of <em>Drosophila melanogaster</em> embryos. These images are used to collect fluorescence signal intensities from protein and RNA staining at the early developmental stages. Six main image processing tasks are addressed: image preprocessing, nuclei segmentation, cytoplasm detection (apical and basal), protein/RNA quantification, detection of the dorsoventral axis, and extraction of expression profiles. This approach enables the simultaneous determination of nuclear and cytoplasmic (both basal and apical) protein and/or RNA expression. In addition, it facilitates data extraction at an unprecedent level, with a potential significant impact to understand the establishment of morphogen gradients, gene regulation mechanisms, and cell signaling in eukaryotic organism. To our knowledge, this is the first of approach this kind. Our results show that the method is fully automated and robust to a variety of confocal image settings.</div></div>","PeriodicalId":50730,"journal":{"name":"Biosystems","volume":"259 ","pages":"Article 105656"},"PeriodicalIF":1.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145521269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
BiosystemsPub Date : 2026-01-01Epub Date: 2025-11-04DOI: 10.1016/j.biosystems.2025.105643
Marcello Barbieri
{"title":"Overview of the fifth special issue in Code Biology","authors":"Marcello Barbieri","doi":"10.1016/j.biosystems.2025.105643","DOIUrl":"10.1016/j.biosystems.2025.105643","url":null,"abstract":"","PeriodicalId":50730,"journal":{"name":"Biosystems","volume":"259 ","pages":"Article 105643"},"PeriodicalIF":1.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145460132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
BiosystemsPub Date : 2026-01-01Epub Date: 2025-12-08DOI: 10.1016/j.biosystems.2025.105668
Pedro C. Marijuán, Abir U. Igamberdiev, Terrence W. Deacon, Giuseppe Iurato
{"title":"Anthropogenesis and the origin of human consciousness","authors":"Pedro C. Marijuán, Abir U. Igamberdiev, Terrence W. Deacon, Giuseppe Iurato","doi":"10.1016/j.biosystems.2025.105668","DOIUrl":"10.1016/j.biosystems.2025.105668","url":null,"abstract":"<div><div>The special issue of BioSystems, “Anthropogenesis and the origin of human consciousness”, provides an overview of the state of the art in the fields of anthropogenesis, evolution of consciousness, and social dynamics. The contributions in this special issue present the contemporary approaches to the origins of modern man and early human evolution, the development of human consciousness and its physical basis, the origin of language and art, the formation of early civilizations, the development of information systems, and even forecasting the future progress of global civilization.</div></div>","PeriodicalId":50730,"journal":{"name":"Biosystems","volume":"259 ","pages":"Article 105668"},"PeriodicalIF":1.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145726626","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
BiosystemsPub Date : 2026-01-01Epub Date: 2025-11-13DOI: 10.1016/j.biosystems.2025.105657
Vitaly K. Koltover
{"title":"Energy transformation and nuclear spin catalysis: From magnetic isotope effects in chemical physics to ATP-dependent molecular motors in bioenergetics","authors":"Vitaly K. Koltover","doi":"10.1016/j.biosystems.2025.105657","DOIUrl":"10.1016/j.biosystems.2025.105657","url":null,"abstract":"<div><div>Cells and tissues are composed from atoms of chemical elements, some of which have two kinds of stable isotopes, magnetic and non-nonmagnetic ones. Not long ago, magnetic isotope effects (MIE) were discovered in living nature, in part, in the experiments with myosin, the important molecular motor of bioenergetics. In this review, the effects of different isotopes of magnesium and zinc on the enzymatic activity of myosin, namely - subfragment-1 of myosin, are presented. The rate of the ATP hydrolysis with the magnetic <sup>25</sup>Mg as the enzyme cofactor is twice higher than the rates of the same reactions with the nonmagnetic <sup>24</sup>Mg or <sup>26</sup>Mg. The similar effect of the nuclear spin catalysis was detected in the enzymatic ATP hydrolysis driven by mitochondrial H<sup>+</sup>-ATPase. Furthermore, MIE has been discovered in the experiments with different stable isotopes of zinc. While Zn<sup>2+</sup> performs the cofactor function less efficiently, than Mg<sup>2+</sup>, it was found that the rate of the enzymatic ATP hydrolysis with magnetic <sup>67</sup>Zn is 40–50 percents higher as compared to the nonmagnetic <sup>64</sup>Zn or <sup>68</sup>Zn. As the kinetics phenomenon, MIE unambiguously indicates that, in the chemo-mechanical process driven by the biomolecular motor, there is a limiting step, and this “bottle-neck” is accelerated by the nuclear spin of the magnetic isotopes of <sup>25</sup>Mg or <sup>67</sup>Zn. Although detailed mechanisms of the discovered effects require further investigations, the findings of the nuclear spin catalysis in the ATP-dependent molecular motors of bioenergetics principally manifest the potentialities of the stable magnetic isotopes in the research aimed at creating the unified theory of ATP synthesis/hydrolysis.</div></div>","PeriodicalId":50730,"journal":{"name":"Biosystems","volume":"259 ","pages":"Article 105657"},"PeriodicalIF":1.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145530960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
BiosystemsPub Date : 2026-01-01Epub Date: 2025-11-04DOI: 10.1016/j.biosystems.2025.105640
Gordana Dodig-Crnkovic
{"title":"Anticipation, memory, and top-down causation in living systems","authors":"Gordana Dodig-Crnkovic","doi":"10.1016/j.biosystems.2025.105640","DOIUrl":"10.1016/j.biosystems.2025.105640","url":null,"abstract":"<div><div>Many physical systems retain traces of their past, but living systems differ in that they use memory for anticipation. This paper develops the thesis that anticipation depends on memory. In living systems, stored information about past states enables the prediction and modulation of future behavior. Drawing on Robert Rosen's theory of anticipatory systems, Friston's free-energy principle, and recent examples from microbiology, immunology, and cognition, I argue that Rosen's “model” is the organized memory of a system. Memory—whether mechanical, chemical, genetic, epigenetic, bioelectric, neural, or cultural—provides the substrate for anticipation, projecting possible futures and constraining present behavior. Examples across biological scales illustrate how this works in practice. Bacteria record viral encounters and use these genomic memories to defend against reinfection. In E. coli, biochemical traces of past interactions direct chemotaxis. Yeast cells store epigenetic stress memories that accelerate adaptation. With the advent of nervous systems, anticipation becomes centralized in internal neural models, enabling flexible simulations of organism–environment interactions. In all cases, anticipatory memory underlies teleonomy as goal-directedness that emerges from evolutionary and developmental processes. Top-down causation plays a central role in shaping the constraints that give rise to purposive, self-maintaining behavior. System-level goals emerge from past-informed constraints, giving living systems their distinctive autonomy, adaptivity, and creativity.</div></div>","PeriodicalId":50730,"journal":{"name":"Biosystems","volume":"259 ","pages":"Article 105640"},"PeriodicalIF":1.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145453925","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
BiosystemsPub Date : 2026-01-01Epub Date: 2025-12-09DOI: 10.1016/j.biosystems.2025.105674
Tommaso Firaux , Jack A. Tuszynski , Marco Cavaglià
{"title":"EMI model: A scale free biophysical framework for human consciousness, cognition and behaviour","authors":"Tommaso Firaux , Jack A. Tuszynski , Marco Cavaglià","doi":"10.1016/j.biosystems.2025.105674","DOIUrl":"10.1016/j.biosystems.2025.105674","url":null,"abstract":"<div><div>Understanding consciousness, cognition, and behaviour requires an integrated framework capable of bridging neurobiology, physics, and information theory. In this paper, we propose the Energy-Mass-Information (EMI) framework as a novel paradigm to conceptualize mental phenomena as emergent properties of dynamic, field-based interactions. Rooted in, and direct expression of the Unified Holographic Framework for Neural Coherence and Consciousness (UHF), EMI introduces a transdisciplinary approach that reconceptualizes the brain-mind system as a continuously evolving network of interactions among energetic oscillations, material substrates, and informational patterns. At the heart of the EMI model lies the notion that cognition arises through the formation and modulation of attractor states-stable yet flexible configurations in the brain's energy-information landscape-guided by resonance, plasticity, and self-organizing processes.</div><div>Consciousness is thus interpreted as a holographically organized phenomenon, embedded within the biophysical substrate of the brain-body system and dynamically shaped by both internal and external fields. Behaviour emerges as the macroscopic expression of shifts among informational attractors, driven by energetic gradients and encoded across multiple scales of neural and body organization. By integrating principles from quantum coherence, neural synchronization, and dynamic systems theory, EMI offers a unifying perspective that transcends reductionist models, linking subjective experience to measurable neurophysiological and field-level processes.</div></div>","PeriodicalId":50730,"journal":{"name":"Biosystems","volume":"259 ","pages":"Article 105674"},"PeriodicalIF":1.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145736540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
BiosystemsPub Date : 2026-01-01Epub Date: 2025-11-22DOI: 10.1016/j.biosystems.2025.105658
Rama Krishna K
{"title":"Kinematic linkage models of muscle contraction: A mechanical engineering perspective","authors":"Rama Krishna K","doi":"10.1016/j.biosystems.2025.105658","DOIUrl":"10.1016/j.biosystems.2025.105658","url":null,"abstract":"<div><div>This paper proposes a new kinematic linkage model for the actin–myosin contraction mechanism. For studying the mechanical movements, the structures of myosin and actin are first modeled using rigid links and kinematic pairs. A kinematic mechanism has been proposed taking into consideration the experimentally observed changes in the angles of the links. The model has been validated with the experimentally available stroke length of the actin during the power-stroke. The present work also revisits the classical swinging lever arm model (SLAM) and for the first time, proposes kinematic linkage model for SLAM. The prominent contribution of the paper is the development of a planar kinematic linkage model based on Nath’s Rotation-Twist-Tilt (RTT)/Rotation-Uncoiling-Tilt (RUT) model. The value of torsional spring stiffness of 534 pN-nm/rad has been estimated based on the RTT/RUT model for the first time. It is shown that the proposed kinematic model validates the experimentally measured, 5.3 nm stroke length of the actin filament, reported in literature.</div></div>","PeriodicalId":50730,"journal":{"name":"Biosystems","volume":"259 ","pages":"Article 105658"},"PeriodicalIF":1.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145598163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
BiosystemsPub Date : 2026-01-01Epub Date: 2025-12-02DOI: 10.1016/j.biosystems.2025.105666
Bruno Gašperov, Branko Šter
{"title":"Endogenous regulation of selection pressure: A minimal game-theoretical model","authors":"Bruno Gašperov, Branko Šter","doi":"10.1016/j.biosystems.2025.105666","DOIUrl":"10.1016/j.biosystems.2025.105666","url":null,"abstract":"<div><div>Selection pressure, determining which individuals survive and reproduce, is traditionally regarded as an exogenous property of the environment. However, growing evidence from the Extended Evolutionary Synthesis (EES) suggests that the strength of selection can, to some extent, be modulated by the organisms themselves. In this paper, we propose a minimal game-theoretical model that formalizes the concept of <em>endogenous selection pressure</em>. In the model, individuals collectively determine the intensity of selection through their actions: each agent “votes” to either intensify or relax selection depending on its relative fitness rank. The aggregate outcome of these decisions defines the number of reproducers, <span><math><mi>k</mi></math></span>, which is inversely related to the overall strength of selection. We analytically derive all pure strategy Nash equilibria of the game and examine their properties. By internalizing selection as a population-level emergent variable, the framework provides a tractable formalization of key principles from the EES and offers a foundation for exploring evolutionary dynamics that arise under the presence of endogenous selection pressure.</div></div>","PeriodicalId":50730,"journal":{"name":"Biosystems","volume":"259 ","pages":"Article 105666"},"PeriodicalIF":1.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145679369","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
BiosystemsPub Date : 2026-01-01Epub Date: 2025-11-20DOI: 10.1016/j.biosystems.2025.105662
Shaojie Deng
{"title":"On the origin of biological teleonomy","authors":"Shaojie Deng","doi":"10.1016/j.biosystems.2025.105662","DOIUrl":"10.1016/j.biosystems.2025.105662","url":null,"abstract":"<div><div>Biological teleonomy is a concept that reflects the goal-directedness and internal purposiveness characteristics in living systems. It is manifested in the way that the structures, functions, and behaviors of organisms are organized and evolved to achieve specific goals or maintain specific states. Teleonomy is a fundamental attribute of life, and as a biological principle, it stems from the special material structure of living systems. This paper uses the stable complex (evolution) encoding (SCE) model to explain the origin and mechanism of teleonomy. The SCE model represents biological functions as attractors and non-equilibrium dynamic stability structures, revealing how biological systems achieve the autonomous characteristics of self-selection and self-evolution through thermodynamic and kinetic encoding. This autonomy is the core manifestation of teleonomy and the fundamental reason for its self-sustaining and self-stabilizing characteristics. Since the origin of life, its structure has been goal-directed and has internal teleonomy. The structure at the origin of life established specific biological rules. As described by the SCE model, all functional structures are integrated into the system by forming encoded stable complexes. Therefore, life not only follows the laws of physics and chemistry but also has unique biological rules. Teleonomy emphasizes the self-leading and self-adapting aspects of biological evolution, achieving self-organization and self-construction in a way that coordinates with the environment.</div></div>","PeriodicalId":50730,"journal":{"name":"Biosystems","volume":"259 ","pages":"Article 105662"},"PeriodicalIF":1.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145571843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}