III. Ecosmos: A Revolutionary Fertile, Habitable, Solar-Bioplanet Lifescape
2. A Consilience of Biology and Physics: Active Matter
Goldenfeld, Nigel and Carl Woese.
Life is Physics: Evolution as a Collective Phenomenon Far from Equilibrium.
Annual Review of Condensed Matter Physics.
This extensive paper by a University of Illinois biophysicist and a microbiologist is one of the strongest statements of a much overdue reunion of these physical and animate realms. Carl Woese (1928-2012) was a premier biological theorist of the past half century. Credits say the paper was also vetted by Freeman Dyson, Barbara Drossel, James Shapiro, Leo Kadanoff, Michael Deem, and others. While these fields long co-existed as separate, contradictory domains, today as complexity science joins with statistical, many-body concepts, a grand synthesis is at hand. Section headings include Evolution as a Problem in Condensed Matter Physics, The Need for a Physics of Living Systems, Beyond the Modern Synthesis, and Is Evolution Random?. To wit “There is compelling evidence that not only may mutations be non-random, but horizontal gene transfer too need not be random.” As a consequence, more than another theory or model, a creative genesis universe seems on the implied horizon.
This review focuses on evolution as a problem in non-equilibrium statistical mechanics, where the key dynamical modes are collective, as evidenced by the plethora of mobile genetic elements whose role in shaping evolution has been revealed by modern genomic surveys. We discuss how condensed matter physics concepts might provide a useful perspective in evolutionary biology, the conceptual failings of the modern evolutionary synthesis, the open-ended growth of complexity, and the quintessentially self-referential nature of evolutionary dynamics. (Abstract)
Gompper, Gompper, Gerhard, et al. The 2019 Motile Active Matter Roadmap. Journal of Physics: Condensed Matter. 32/29, 2020. This is a broadly European state of the art collection for this fluid field, which is hardly a decade old. As the quotes note, some 40 researches post papers such as Active Brownian Particles: From Collective Phenomena to Fundamental Physics by Thomas Speck, Self-organized Collective Patterns by Fernando Peruani, and Patterns of Collective Motion in Huge Flocks of Starlings by Charlotte Hemelrijk. Its popularity and expansive subject increasingly attest to an animate, lively natural materiality.
Activity and autonomous motion are fundamental in living and engineering systems. The new field of active matter now focuses on the physical aspects of propulsion mechanisms, and on motility-induced collective behavior of a larger number of member agents. The scale ranges from microswimmers to cells, fish, birds, and people. A major challenge for understanding and designing active matter is their nonequilibrium nature due to persistent energy consumption. The vast complexity of phenomena and mechanisms involved in the self-organization and dynamics of motile active systems comprises a major challenge. Hence, going forward this important research area requires a concerted, synergetic, interdisciplinary approach. (Abstract excerpt)
Hagan, Michael and Aparna Baskaran. Emergent Self-Organization in Active Materials. Current Opinion in Cell Biology. 38/74, 2016. For the record, we ought to note that just a decade ago, as earlier entries show, a evidential recognition of such cellular spontaneity was rare and in abeyance. Here Brandeis University physicists provide a 2017 example of its common acceptance as metabolic physiology and anatomy becomes an exemplar of nonlinear complexity.
Biological systems exhibit large-scale self-organized dynamics and structures which enable organisms to perform the functions of life. The field of active matter strives to develop and understand microscopically driven nonequilibrium materials, with emergent properties comparable to those of living systems. This review will describe two recently developed classes of active matter systems, in which simple building blocks — self-propelled colloidal particles or extensile rod-like particles — self-organize to form macroscopic structures with features not possible in equilibrium systems. We summarize the recent experimental and theoretical progress on each of these systems, and we present simple descriptions of the physics underlying their emergent behaviors. (Abstract)
Hakim, Vincent and Pascal Silberzan. Collective Cell Migration: A Physics Perspective. Reports on Progress in Physics. 80/7, 2017. CNRS Research University, Paris biophysicists quantify how individual cells actually abide and move in a cohesive group phase manner.
Cells have traditionally been viewed either as independently moving entities or as somewhat static parts of tissues. However, it is now clear that in many cases, multiple cells coordinate their motions and move as collective entities. Well-studied examples comprise development events, as well as physiological and pathological situations. Different ex vivo model systems have also been investigated. Several recent advances have taken place at the interface between biology and physics, and have benefitted from progress in imaging and microscopy, from the use of microfabrication techniques, as well as from the introduction of quantitative tools and models. We review these interesting developments in quantitative cell biology that also provide rich examples of collective out-of-equilibrium motion. (Abstract)
Harder, Malte and Daniel Polani. Self-Organizing Particle Systems. Advances in Complex Systems. 16/2, 2013. Adaptive Systems Research Group, University of Hertfortshire computer scientists contribute another example of scientific reevaluations of the nature of cellular biology by way of the prior activity of self-organizing physical and informational processes.
The self-organization of cells into a living organism is a very intricate process. Under the surface of orchestrating regulatory networks there are physical processes which make the information processing possible, that is required to organize such a multitude of individual entities. We use a quantitative information theoretic approach to assess self-organization of a collective system. In particular, we consider an interacting particle system, that roughly mimics biological cells by exhibiting differential adhesion behavior. Employing techniques related to shape analysis, we show that these systems in most cases exhibit self-organization. Moreover, we consider spatial constraints of interactions, and additionally show that particle systems can self-organize without the emergence of pattern-like structures. However, we will see that regular pattern-like structures help to overcome limitations of self-organization that are imposed by the spatial structure of interactions. (Abstract)
Hauser, Marcus and Lutz Schimansky-Geier. Statistical Physics of Self-Propelled Particles. European Physical Journal Special Topics. 224/7, 2015. Otto von Guericke University, and Humboldt University biophysicists introduce an issue on realizations of a natural materiality that seems to exhibit biological behaviors. Papers include Active Particles in Heterogeneous Media Display New Physics, and The Unlikely High Efficiency of a Molecular Motor Based on Active Motion.
Heffern, Elleard, et al. Phase Transitions in Biology: From Bird Flocks to Population Dynamics. Proceedings of the Royal Society B. October, 2021. We note this entry by University of Missouri physicists and biologists including Sonya Bahar provide a good example of the robust, self-similar fulfillments of a wide-ranging universe to us dynamic complexity network revolution which is just now possible, and well underway.
Phase transitions from one condition to another are a significant concept in physical reality. Insights derived from many past studies are lately being well applied to diverse phenomena in living systems. We provide a brief review of phase transitions and their new role in explaining biological processes from collective behaviour in animal flocks to neuronal firings in cerebral activity. We also highlight a novel area of their presence in population collapse and extinction due to climate change or microbial responses to antibiotic treatments. (Abstract)
Hirst, Linda. Active Matter in Biology. Nature. 544/164, 2017. A UC Merced biophysicist comments on a research paper, Topological Defects in Epithelia Govern Cell Death and Extrusion, by Thuan Beng Saw, et al in the same issue about fertile interconnections between condensed matter theories and living systems, aka soft matter and human beings.
Saw and colleagues’ study demonstrates how the physics of soft matter can contribute to a deeper understanding of biological systems. The authors show that compressive stresses
Huelga, Susana and Martin Plenio. Vibrations, Quanta and Biology. Contemporary Physics.. 54/4, 2013. University of Ulm, and Center for Integrated Quantum Science and Technologies, Ulm (Albert Einstein’s birthplace), researchers contribute to interlacing “open system, hierarchical, network” affinities between quantum phenomena and lively evolving organisms.
Quantum biology is an emerging field of research that concerns itself with the experimental and theoretical exploration of non-trivial quantum phenomena in biological systems. In this tutorial overview we aim to bring out fundamental assumptions and questions in the field, identify basic design principles and develop a key underlying theme -- the dynamics of quantum dynamical networks in the presence of an environment and the fruitful interplay that the two may enter. At the hand of three biological phenomena whose understanding is held to require quantum mechanical processes, namely excitation and charge transfer in photosynthetic complexes, magneto-reception in birds and the olfactory sense, we demonstrate that this underlying theme encompasses them all, thus suggesting its wider relevance as an archetypical framework for quantum biology. (Abstract)
Jarvis, Peter and Jeremy Sumner. Systematics and Symmetry in Molecular Phylogenetic Modeling: Perspectives from Physics. Journal of Physics A. 54/45, 2019. University of Tasmania physicists scope out a broad and deep affinity between entanglement, Markov invariance and other phenomena with life’s mathematically rooted course as the extended Abstract explains. See also Quantum Channel Simulation of Phylogenetic Branching Models by Jarvis and D. Ellinas in this journal (52/11, 2019).
Phylogenetics is the suite of mathematical and computational methods by which biologists infer past evolutionary relationships between observed species. Here we wish to emphasize the many features of multipartite entanglement which are shared between descriptions of quantum states on the physics side, and the multi-way tensor probability arrays arising in phylogenetics. In some instances, well-known objects such as the Cayley hyperdeterminant can be directly imported into the formalism. In other cases new objects appear, such as the remarkable 'squangle' invariants for quartet tree discrimination, which for DNA data are of quintic degree, with their own unique interpretation in the phylogenetic modelling context. All this hints strongly at the natural and universal presence of entanglement as a phenomenon which reaches across disciplines. (Abstract excerpt)
Jusup, Marko, et al. Physics Of Metabolic Organization. Physics of Life Reviews. 20/1, 2017. Mathematical biologists from Japan, Portugal, and Croatia scope out the pursuit of a deeper rooting and common cause of life within physical and energetic phenomena. Along with 14 peer comments, the integrative project appears on its way, which hints of universalities such as the von Bertalanffy growth curve.
Karamouzas, Ioannis, et al. Universal Power Law Governing Pedestrian Interactions. Physical Review Letters. 113/238701, 2014. It is worth notice, as this letter by University of Minnesota and Argonne National Laboratory physicists exemplifies, how often statistical mechanics is being applied to a widest range of phenomena and occasions. A result is the discovery of a constant recurrence in kind from physical substrates to social commerce. In this case a deeper mathematics is found to guide even our walk and talk.
Human crowds often bear a striking resemblance to interacting particle systems, and this has prompted many researchers to describe pedestrian dynamics in terms of interaction forces and potential energies. The correct quantitative form of this interaction, however, has remained an open question. Here, we introduce a novel statistical-mechanical approach to directly measure the interaction energy between pedestrians. This analysis, when applied to a large collection of human motion data, reveals a simple power-law interaction that is based not on the physical separation between pedestrians but on their projected time to a potential future collision, and is therefore fundamentally anticipatory in nature. Remarkably, this simple law is able to describe human interactions across a wide variety of situations, speeds, and densities. We further show, through simulations, that the interaction law we identify is sufficient to reproduce many known crowd phenomena. (Abstract)