REVIEW 4 major objections 5 minor 93 references
Maximum Entropy Production Principle of Thermodynamics for the Birth and Evolution of Life
T0 review · 4 major / 5 minor · reviewed 2026-08-16 · deepseek-v4-flash
Pith's one-line read One thermodynamic rule, maximum entropy production, is claimed to drive the birth and evolution of life.
desk verdict An honest but unproven review: MEPP as a unifying story for life's history, with Eq. (9) as a threshold rather than the claimed variational demonstration. read the letter →
The pith
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
The reading
What carries the argument
The central object is the maximum entropy production principle itself, expressed as the selection rule $P(X_0) = \max_i P(X_i)$ over possible dissipative structures, where $P = dS/dt$ is entropy production. The load-bearing quantitative mechanism for the birth of life is Equation (9), the critical polymer concentration derived from a dynamical system of mutually catalytic polynucleotides arranged in a one-dimensional ring: each polynucleotide catalyzes the copying of a neighbor and the separation of a double strand, and when the geometric mean concentration passes the threshold, the self-replication cycle becomes the stable mode and entropy production rises exponentially. For evolution, the machinery is the reaction-diffusion entropy production expression of Equation (2), together with Brusselator simulations showing that among metastable spatial structures the one with maximum entropy production is the most stable.
What would settle it
Measure or simulate a pool of mutually catalytic polynucleotides at concentrations below the ring-model threshold of Equation (9): if any network with multiple cross-catalytic interactions begins self-replicating and increasing entropy production exponentially below that threshold, the claim that Equation (9) gives the onset condition fails.
Extended reading notes
Core claim
The paper's discovery is that the same principle governing dissipative structures in fluids and crystals also governs the origin and evolution of life, provided the local system remains far from equilibrium. For the origin of life, it reports a critical concentration condition for a ring of mutually catalytic polynucleotides: self-replication begins when the geometric mean concentration $X_g(0)$ exceeds $r\left(\tau_z \tau_x \left(\prod_{u=1}^N p_u q_u\right)^{1/N}\right)^{-1/2}$, above which entropy production grows exponentially. For evolution, it assembles experimental and numerical evidence that multicellular organization and differentiation are selected because they increase net entropy production, and it introduces the concept of external entropy production as the hallmark of the late stage, where human societies dissipate energy outside their own bodies. The culminating hypothesis is that assemblies of cells or individuals are bound to differentiate and form structures that achieve maximum entropy production whenever the far-from-equilibrium condition is satisfied.
Load-bearing premise
The quantitative birth-of-life threshold assumes each polynucleotide interacts catalytically with only one other molecule, so all self-replicators form a one-dimensional ring; if real prebiotic networks have many simultaneous catalytic partners, the critical concentration could be different and the exponential-entropy-production argument may not hold.
Editorial extensions
If this is right
- If the central claim is right, below the critical polymer concentration a prebiotic pool is inert, while above it self-replication and exponentially growing entropy production become the stable mode; the origin of life is a phase transition.
- Multicellularity and differentiation become thermodynamically favored because they increase net entropy production, giving a physical criterion for which cell numbers and spatial patterns stabilize.
- The same principle predicts that human societies, as dissipative structures, will continue to increase external entropy production as long as the Earth system remains far from equilibrium.
- Dormant states such as tardigrades, seeds, and slime mold slugs are metastable low-entropy-production states entered only when the environment fails to be far from equilibrium, and MEPP predicts they should be reversible.
- Evolutionary pressure gains a thermodynamic foundation: the direction of evolution is set by the maximization of entropy production, complementing natural selection.
Reading between the lines
- Equation (9) suggests a testable scaling: because the threshold depends on the product of catalytic rate constants around the ring through the $1/N$ root, engineered RNA replicase networks could probe whether the threshold follows that scaling even when catalysis is more complex than a one-dimensional ring.
- If real prebiotic chemistry involves many simultaneous catalytic partners, the ring-model threshold may be relaxed; a natural extension is to model random catalytic hypergraphs and ask whether the critical concentration for self-replication decreases as network connectivity increases.
- The external-entropy-production concept could be quantified per capita and used to compare societies or species, implying that over historical time societies that dissipate more energy per capita may outcompete those that dissipate less.
- MEPP as stated selects among possible modes but does not enumerate them; an implicit research program is to connect evolutionary innovation with bifurcation theory, where new dissipative modes appear as control parameters cross thresholds.
Signed reviews
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. This review article argues that the maximum entropy production principle (MEPP) provides a unified thermodynamic framework for the origin and evolution of life, from pre-RNA self-replication through multicellular organization and social evolution to 'external entropy production' in human societies. The paper reviews a dynamical model for the onset of mutually catalytic self-replication, reporting a critical polymer concentration (Eq. 9) above which the self-replicating mode is claimed to grow exponentially and thereby increase entropy production. It also reviews experimental work on the minimum number of cells needed for multicellular regeneration in slime molds and hydra, a 1983 Brusselator simulation relating pattern stability to entropy production, and qualitative examples of dormant states under severe conditions. The authors propose in Section 6.1 a general hypothesis: biological organization, whether of cells or individuals, is bound to differentiate and form structures that achieve MEPP as long as the thermodynamic condition far from equilibrium is satisfied. The paper is explicit that quantitative formalism for external entropy production and detailed modeling of the general hypothesis remain future work.
Significance. If the central claim were established, MEPP would provide a physical selection principle for evolution and unify origin-of-life research with evolutionary biology under nonequilibrium thermodynamics. The paper is valuable as an accessible review of the history of MEPP and as a clear, falsifiable statement of an ambitious hypothesis. Its strengths include an explicit statement of the hypothesis, a useful collection of references, and transparent acknowledgment of missing quantitative formalisms. However, the quantitative support is currently thin: the main new quantitative input, Eq. (9), is a bifurcation threshold rather than a variational selection among competing entropy-production modes, and the most direct supporting simulations come from the authors' prior work cited as Refs. [54] and [82]. The paper is therefore best read as a hypothesis-generating review rather than a demonstration, and the presentation should be adjusted accordingly.
major comments (4)
- [Section 3.4, Eq. (9)] The central quantitative claim for the birth of life is a threshold condition, not a demonstration of maximum entropy production. Equation (9) states a critical geometric-mean concentration above which the self-replicating solution of Eqs. (7)-(8) grows, and Eq. (10) asserts that entropy production is proportional to the number of polymers produced. Neither equation compares the entropy production of the self-replicating mode with accessible alternatives such as non-replicating polymerization, monomer degradation, or purely inorganic dissipation. A bifurcation threshold is not a variational selection; the MEPP statement in Eq. (1) requires P(X0) = max_i P(X_i) over plural solutions. As written, the text in Section 3.4 ('an exponential increase of entropy production is guaranteed') and the conclusion that birth of life is 'shown in accordance with the principle' overstate what Eq. (9) establishes. The authors should either supply a comparison of entropy production among competing modes or explicitly reframe the birth-of-life result as a necessary condition rather than a proof of MEPP.
- [Section 3.3, Eqs. (7)-(8)] The one-dimensional ring assumption is load-bearing for Eq. (9). The text states that 'a pn-molecule interacts catalytically with only one of the other molecules with the strongest interaction' and that the N self-replication units form a one-dimensional ring; this assumption is imported from Ref. [54] and is not independently justified here. Real prebiotic reaction networks would plausibly involve multiple simultaneous catalytic partners, and relaxing the ring topology changes the effective rates pu and qu and therefore the threshold X_g*. The paper should discuss the sensitivity of Eq. (9) to this assumption or, at minimum, identify it as a modeling restriction rather than a general property of prebiotic chemistry.
- [Section 4.3, Eqs. (13)-(14)] The Brusselator simulation from Ref. [82] shows that among metastable patterns of a chemical reaction-diffusion model, the pattern with the highest entropy production is the most stable. This is a legitimate model result, but the paper's extension to biological differentiation ('These results will support the idea that the pattern formation of multi-cellular system may be determined by MEPP') is a substantial extrapolation: the simulation treats a two-species chemical system with fixed boundary conditions, not biological cells with gene-regulatory networks, metabolism, or reproduction. The link between peak-number stability in a Brusselator and the experimentally observed minimum cell numbers for hydra regeneration (150-300 cells, Section 4.2) is suggestive but not quantitatively made. The authors should either provide a mechanistic mapping between the model variables and biological quantities or downgrade this section's conclusion to an analogy.
- [Section 4.4 and Section 6.2] The late-stage evolution claim rests on 'external entropy production', but this quantity is never defined thermodynamically. The numbers given (8×10^9 J per person per year external energy consumption versus 4×10^6 J internal) are energy consumption rates, not entropy production rates; converting them to entropy production requires specifying the temperature and free-energy dissipation of the processes involved. The paper itself acknowledges in Section 6.2 that 'mathematical formalism and quantitative study of external entropy production will be an important subject for future study'. Since the claim that societies are dissipative structures that follow MEPP depends on this concept, the present text should clearly mark the external-entropy-production argument as a qualitative hypothesis, not a verified result.
minor comments (5)
- [Section 2.1, references] There are typographical errors in the reference list: Ref. [10] contains 'Scond law' instead of 'Second law', and Ref. [21] contains 'bifurgation' instead of 'bifurcation'.
- [Section 4.2] The phrase 'investigated extentively' should read 'investigated extensively'.
- [Section 3.3] The terminology is inconsistent: the text uses both 'pn-nucleotide' and 'pn-molecule' for the same entities; one term should be used throughout.
- [Equation (9)] The numerical factor r in Eq. (9) is stated to be 'nearly 1.5' without derivation; the authors should clarify whether this is a fitting parameter or a derived constant, and how its value depends on the ring size N.
- [Section 6.4] The name of the species should be formatted as 'Homo sapiens' (italicized, genus capitalized), not 'homo-sapiens', for consistency with standard biological nomenclature.
Circularity Check
The birth-of-life 'exponential entropy production' prediction is a definitional restatement of the model's exponential self-replication; the MEPP variational selection is asserted, not derived.
-
self definitional
[Section 3.4, Eq. (10), immediately after the threshold condition Eq. (9)]
"Entropy production is proportional to the produced number of prebiotic polymers, which increases exponentially when the condition Equation (9) is satisfied as the fluctuating subsystem mentioned in Section 2."
Equation (10) defines P(t) as (1/T) N(t)<Σ α_i W_i>, so the 'exponential increase of entropy production' is exactly the exponential increase of the number of produced polymers N(t) once Eq. (9) holds. That exponential growth is the model's own self-replication dynamics, not a comparison of P among alternative modes as Eq. (1) requires. The paper earlier asserts in Sec. 3.1 that self-replication 'is considered to produce the highest entropy possible because of an exponential increase of the reactions.' Thus the property used to identify the MEPP mode (exponential reaction growth) is the same property whose threshold is then presented as evidence that MEPP governs the birth of life.
full rationale
The review's Brusselator-based discussion (Sec. 4.3) is a genuine, non-circular comparison of entropy production among metastable patterns, and the general-route hypothesis in Sec. 6.1 is explicitly labeled a hypothesis with modeling left for future work. However, the birth-of-life claim rests on Eq. (9) and Eq. (10): the 'guaranteed exponential increase of entropy production' is just the exponential self-replication of the authors' 2023 model rewritten as entropy production, and no alternative non-replicating or inorganic dissipative mode is assigned an entropy production and compared. The paper's own Sec. 3.1 premise that self-replication is the highest-entropy mode because it grows exponentially already contains the conclusion. This is a partial circularity: the threshold itself is a legitimate dynamical result, but its presentation as a MEPP prediction reduces by construction to the growth assumption. Self-citation of [54] and [82] is heavy, but the Brusselator simulation provides independent-internal evidence, so the circularity is confined to the birth-of-life identification and does not make the entire review circular.
Assumptions & free parameters
free parameters (1)
- r (numerical factor in Eq. 9) =
~1.5
assumptions (4)
- domain assumption Maximum entropy production is a valid selection rule for dissipative structures far from equilibrium.
- domain assumption The Earth's atmosphere is a low-entropy steady-state reservoir that has continuously absorbed the entropy produced by life.
- ad hoc to paper Each pn-molecule interacts catalytically with only one other molecule, forming a one-dimensional ring.
- domain assumption Biological organizations can be treated as dissipative structures obeying Eq. (1).
invented entities (1)
-
External entropy production
Cite this review
Pith. "Pith review of Maximum Entropy Production Principle of Thermodynamics for the Birth and Evolution of Life." pith.science (2026). https://pith.science/paper/3ZOSPDJL
@misc{pith2026250414923,
author = {Pith},
title = {Pith review of: Maximum Entropy Production Principle of Thermodynamics for the Birth and Evolution of Life},
year = {2026},
howpublished = {\url{https://pith.science/paper/3ZOSPDJL}},
note = {Machine review of arXiv:2504.14923}
}
read the original abstract
Research on the birth and evolution of life are reviewed with reference to the maximum entropy production principle (MEPP). It has been shown that this principle is essential for consistent understanding of the birth and evolution of life. First, a recent work for the birth of a self-replicative system as pre-RNA life is reviewed in relation to the MEPP. A critical condition of polymer concentration in a local system is reported by a dynamical system approach, above which, an exponential increase of entropy production is guaranteed. Secondly, research works of early stage of evolutions are reviewed; experimental research for the numbers of cells necessary for forming a multi-cellular organization, and numerical research of differentiation of a model system and its relation with MEPP. It is suggested by this review article that the late stage of evolution is characterized by formation of society and external entropy production. A hypothesis on the general route of evolution is discussed from the birth to the present life which follows the MEPP. Some examples of life which happened to face poor thermodynamic condition are presented with thermodynamic discussion. It is observed through this review that MEPP is consistently useful for thermodynamic understanding of birth and evolution of life, subject to a thermodynamic condition far from equilibrium.
Figures
Reference graph
Works this paper leans on
-
[54]
Sawada, Y.; Daigaku, Y.; Toma, K. Onset model of mutually catalytic self-replicative systems formed by an assembly of polynucleotides, Phys. Rev. E 2023, 107, 05440423
work page 2023
-
[82]
Relative stability among metastable steady state structures in chemical reaction system.J
Shimizu, H.; Sawada, Y. Relative stability among metastable steady state structures in chemical reaction system.J. Chem. Phys. 1983, 79, 3828–3835
work page 1983
-
[1]
What Is Life—The Physical Aspect of the Living Cell; Cambridge University Press: Cambridge, UK, 1944
Schrödinger, E. What Is Life—The Physical Aspect of the Living Cell; Cambridge University Press: Cambridge, UK, 1944
1944
-
[2]
Thermodynamics in Einstein’s thought: Thermodynamics played a special role in Einstein’s early search for a unified foundation of physics
Klein, M.J. Thermodynamics in Einstein’s thought: Thermodynamics played a special role in Einstein’s early search for a unified foundation of physics. Science 1967, 157, 509–516
1967
-
[3]
Über die Beziehung zwischen dem zweiten Hauptsatze der mechanischen Wärmetheorie und der Wahrschein- lichkeitsrechnung respektive den Sätzen über das Wärmegleichgewicht
Boltzmann, L. Über die Beziehung zwischen dem zweiten Hauptsatze der mechanischen Wärmetheorie und der Wahrschein- lichkeitsrechnung respektive den Sätzen über das Wärmegleichgewicht. Wien. Ber. 1877, 76, 373–435
-
[4]
Reciprocal relations in irreversible processes
Onsager, L. Reciprocal relations in irreversible processes. I. Phys. Rev. 1931, 37, 405–426
1931
-
[5]
Reciprocal relations in irreversible processes
Onsager, L. Reciprocal relations in irreversible processes. II. Phys. Rev. 1931, 38, 2265–2279
1931
-
[6]
An Introduction to Thermodynamics; Elsevier: Amsterdam, The Netherlands, 1983
Ziegler, H. An Introduction to Thermodynamics; Elsevier: Amsterdam, The Netherlands, 1983
1983
Show all 93 references
-
[7]
Elementary Principles of Statistical Mechanics; Ox Bow Press: Woodridge, IL, USA, 1981
Gibbs, J.W. Elementary Principles of Statistical Mechanics; Ox Bow Press: Woodridge, IL, USA, 1981
1981
-
[8]
Information theory and statistical mechanics
Jains, E.T. Information theory and statistical mechanics. Phys. Rev. 1957, 106, 620–630
1957
-
[9]
Information theory and statistical mechanics
Jains, E.T. Information theory and statistical mechanics. II. Phys. Rev. 1957, 108, 171–190
1957
-
[10]
Entropy Production and Non-Equilibrium Systems; Springer: Berlin/Heidelberg, Germany, 2014
Dewar, R.C.; Lineweaver, C.H.; Niven, R.K.; Regenauer-Lieb, K.Beyond the Scond Law. Entropy Production and Non-Equilibrium Systems; Springer: Berlin/Heidelberg, Germany, 2014
2014
-
[11]
Time, Structure and Fluctuations
Prigogine, I. Time, Structure and Fluctuations. Science 1978, 201, 777–785
1978
-
[12]
Structure, Stability and Fluctuations.; Masson et Cie: Echandens, Switzerland, 1971
Glansdorff, P .; Prigogine, I. Structure, Stability and Fluctuations.; Masson et Cie: Echandens, Switzerland, 1971
1971
-
[13]
Finite Amplitude Cellular Convection
Malkus, W.V .R.; Veronis, G. Finite Amplitude Cellular Convection. J. Fluid Mech. 1958, 4, 225–260
1958
-
[14]
The formation of patterns in non-equilibrium growth
Ben-Jacob, E.; Garik, P . The formation of patterns in non-equilibrium growth. Nature 1990, 343, 523–530
1990
-
[15]
Entropy production as the selection rule between different growth morphologies
Hill, A. Entropy production as the selection rule between different growth morphologies. Nature 1990, 348, 426–428
1990
-
[16]
Titan, Mars and Earth: Entropy production by latitudinal heat transport
Lorenz, R.D.; Lunine, J.I.; Withers, P .G.; McKay, C.P . Titan, Mars and Earth: Entropy production by latitudinal heat transport. Geophys. Res. Lett. 2001, 28, 415–418
2001
-
[17]
Thermodynamics of fluid turbulence: A unified approach to the maximum transport properties
Ozawa, H.; Shimokawa, S.; Sakuma, H. Thermodynamics of fluid turbulence: A unified approach to the maximum transport properties. Phys. Rev. E 2001, 64, 026303. Entropy 2025, 1, 0 16 of 18
2001
-
[18]
On the thermodynamics of the oceanic general circulation: Irreversible transition to a state with higher rate of entropy production
Shimokawa, H.; Ozawa, H. On the thermodynamics of the oceanic general circulation: Irreversible transition to a state with higher rate of entropy production. Q. J. R. Meteorol. Soc. 2002, 128, 2115–2128
2002
-
[19]
Maximum entropy production principle in physics, chemistry and biology.Phys
Martyushev, L.M.; Seleznev V .D. Maximum entropy production principle in physics, chemistry and biology.Phys. Rep. 2006, 426, 1–45
2006
-
[20]
Maximum entropy production principle: History and current status
Martyushev, L.M. Maximum entropy production principle: History and current status. Phys. Uspekhi 2021, 64, 558–583
2021
-
[21]
Synergetics and bifurgation theory
Haken, H. Synergetics and bifurgation theory. Ann. N. Y. Acad. Sci. 1979, 316, 357–375
1979
-
[22]
Thermodynamics of evolution and the origin of life.Proc
Vanchurin, V .; Wolf, Y.I.; Koonin, E.V .; Katsnelson, M.I. Thermodynamics of evolution and the origin of life.Proc. Natl. Acad. Sci. USA 2022, 119, e2120042119
2022
-
[23]
Self-organization in dissipative structures: A thermodynamic theory for the emergence of prebiotic cells and their epigenetic evolution
Pulselli, R.M.; Simoncini, E.; Tiezzi, E. Self-organization in dissipative structures: A thermodynamic theory for the emergence of prebiotic cells and their epigenetic evolution. Biosystems 2009, 96, 237–241
2009
-
[24]
Thermodynamics of Aging and Heredity
Gladyshev, G.P . Thermodynamics of Aging and Heredity. Nat. Sci. 2015, 7, 270–286
2015
-
[25]
How does epigenetics influence the course of evolution?Philos
Ashe, A.; Colot, V .; Oldroyd, B.P . How does epigenetics influence the course of evolution?Philos. Trans. R. Soc. B Biol. Sci. 2021, 376, 20200111
2021
-
[26]
On the Thermodynamics, Entropy and Evolution of Biological Systems: What Is Life from a Physical Chemist’s Viewpoint
Gladyshev, G.P . On the Thermodynamics, Entropy and Evolution of Biological Systems: What Is Life from a Physical Chemist’s Viewpoint. Entropy 1999, 1, 9–20
1999
-
[27]
Life’s a Gas: A Thermodynamic Theory of Biological Evolution
Skene, K.R. Life’s a Gas: A Thermodynamic Theory of Biological Evolution. Entropy 2015, 17, 5522–5548
2015
-
[28]
Towards an evolutionary theory of the origin of life based on kinetics and thermodynamics
Pascal, R.; Pross, A.; Sutherland, J.D. Towards an evolutionary theory of the origin of life based on kinetics and thermodynamics. Open Biol. 2013, 3, 130156
2013
-
[29]
Epigenetic Mechanisms of Learning and Memory: Implications for Aging
Creighton, S.D.; Stefanelli, G.; Reda, A.; Zovkic, I.B. Epigenetic Mechanisms of Learning and Memory: Implications for Aging. Int. J. Mol. Sci. 2020, 21, 6918
2020
-
[30]
Life as a Manifestation of the Second Law of Thermodynamics
Schneider, E.D.; Kay J.J. Life as a Manifestation of the Second Law of Thermodynamics. Math. Comput. Model. 1994, 19, 25–48
1994
-
[31]
Thermodynamic Variational Principle in Nonlinear Non-Equilibrium Phenomena
Sawada, Y.A. Thermodynamic Variational Principle in Nonlinear Non-Equilibrium Phenomena. Prog. Theor. Phys. 1981, 66, 68–76
1981
-
[32]
Thermodynamics variational principle in nonlinear systems far from equilibrium
Sawada, Y.A. Thermodynamics variational principle in nonlinear systems far from equilibrium. J. Stat. Phys. 1984, 34, 1039–1045
1984
-
[33]
Thermodynamics of the climate system
Singh, M.S.; O’Neill, M.E. Thermodynamics of the climate system. Phys. Today 2022, 75, 30–37
2022
-
[34]
Maximum entropy production in environmental and ecological systems.Phil
Kleidon, A.; Malhi, Y.; Cox, P .M. Maximum entropy production in environmental and ecological systems.Phil. Trans. R. Soc. B 2010, 365, 1297–1302
2010
-
[35]
Entropy production by earth system processes
Kleidon, A.; Lorenz, R.D. Entropy production by earth system processes. In Non-Equilibrium Thermodynamics and the Production of Entropy: Life, Earth, and Beyond; Kleidon, A., Lorenz, R.D., Eds.; Springer: Berlin, Germany, 2004; pp. 1–20
2004
-
[36]
Entropy production selects nonequilibrium states in multistable systems
Endres, R.G. Entropy production selects nonequilibrium states in multistable systems. Sci. Rep. 2017, 7, 14437
2017
-
[37]
Populäre Schriften; J
Boltzmann, L. Populäre Schriften; J. A. Barth: Leipzig, Germany, 1905
1905
-
[38]
Contribution to the energetics of evolution
Lotka, A.J. Contribution to the energetics of evolution. Proc. Natl. Acad. Sci. USA 1922, 8, 147–151
1922
-
[39]
Natural selection as a physical principle
Lotka, A.J. Natural selection as a physical principle. Proc. Natl. Acad. Sci. USA 1922, 8, 151
1922
-
[40]
Thermodynamics of terrestrial evolution
Kirkaldy, J.S. Thermodynamics of terrestrial evolution. Biophys. J. 1965, 5, 965–979
1965
-
[41]
Energy metabolism and animal evolution
Dol’nik, V .R. Energy metabolism and animal evolution. Usp. Sovr. Biol. 1968, 66, 276–293
1968
-
[42]
Entropy Principle for the Development of Complex Biotic Systems: Organisms, Ecosystems, the Earth ; Elsevier: Amsterdam, The Netherlands, 2012
Aoki, I. Entropy Principle for the Development of Complex Biotic Systems: Organisms, Ecosystems, the Earth ; Elsevier: Amsterdam, The Netherlands, 2012
2012
-
[43]
Computational systems biology
Kitano, H. Computational systems biology. Nature 2002, 420, 206–210
2002
-
[44]
Bioenergetics: A Bridge Across Life and Universe; CRC Press: Boca Raton, FL, USA, 2021
Juretic, D. Bioenergetics: A Bridge Across Life and Universe; CRC Press: Boca Raton, FL, USA, 2021
2021
-
[45]
Origin of life: The RNA world
Gilbert, W. Origin of life: The RNA world. Nature 1986, 319, 618
1986
-
[46]
A model for the RNA-catalyzed replication of RNA
Cech, T.R. A model for the RNA-catalyzed replication of RNA. Proc. Natl. Acad. Sci. USA 1986, 83, 4360–4363
1986
-
[47]
RNA-catalysed nucleotide synthesis
Unrau, P .J.; Bartel, D. RNA-catalysed nucleotide synthesis. Nature 1998, 395, 260–263
1998
-
[48]
On the Origin of Life
Szostak, J.W. On the Origin of Life. Medicina (B Aires) 2016, 76, 199–203
2016
-
[49]
RNA-Catalyzed RNA Polymerization: Accurate and General RNA-Templated Primer Extension
Johnston, W.K.; Unrau, P .J.; Lawrence, M.S.; Glasner, M.E.; Bartel, D.P . RNA-Catalyzed RNA Polymerization: Accurate and General RNA-Templated Primer Extension. Science 2001, 292, 1319-1325
2001
-
[50]
Self-sustained Replication of an RNA Enzyme
Lincoln, T.A.; Joyce, G.F. Self-sustained Replication of an RNA Enzyme. Science 2009, 323, 1229–1232
2009
-
[51]
The antiquity of RNA-based evolution
Joyce, G.F. The antiquity of RNA-based evolution. Nature 2002, 418, 214–221
2002
-
[52]
Joyce, G.F
Robertson, M.P . ; Joyce, G.F. The origins of the RNA world. Cold Spring Harb. Perspect. Biol. 2011, 4, a003608
2011
-
[53]
Non-enzymatic primer extension with strand displacement
Zhou, L.; Kim, S.C.; Ho, K.H.; O’Flaherty, D.K.; Giurgiu, C.; Wright, T.H.; Szostak, J.W. Non-enzymatic primer extension with strand displacement. eLife 2019, 8, e51888
2019
-
[55]
Autocatalytic sets of proteins
Kauffman, S.A. Autocatalytic sets of proteins. J. Theor. Biol. 1986, 119, 1–24
1986
-
[56]
Random biochemical networks: The probability of self-sustaining autocatalysis
Mossel, E.; Steel, M. Random biochemical networks: The probability of self-sustaining autocatalysis. J. Theor. Biol. 2005, 233, 327–336
2005
-
[57]
Autocatalytic Networks at the Basis of Life’s Origin and Organization
Hordijk, W.; Steel, M. Autocatalytic Networks at the Basis of Life’s Origin and Organization. Life 2018, 8, 62. Entropy 2025, 1, 0 17 of 18
2018
-
[58]
Self-organization of matter and the evolution of biological macromolecules
Eigen, M. Self-organization of matter and the evolution of biological macromolecules. Naturwissenschaften 1971, 58, 465–523
1971
-
[59]
The Hypercycle: A Principle of Natural Self-Organization; Springer: Berlin, Germany, 1979
Eigen, M.; Schuster, P . The Hypercycle: A Principle of Natural Self-Organization; Springer: Berlin, Germany, 1979
1979
-
[60]
Hypercycle
Szostak, N.; Wasik, S.; Blazewicz, J. Hypercycle. PLoS Comput. Biol. 2016, 12, e1004853
2016
-
[61]
Spiral wave structure in pre-biotic evolution: Hypercycles stable against parasites.Physica D 1991, 48, 17–28
Boerlijst, M.C.; Hogeweb, P . Spiral wave structure in pre-biotic evolution: Hypercycles stable against parasites.Physica D 1991, 48, 17–28
1991
-
[62]
Bifurcations and phase transitions in spatially-extended two-member hypercycles.J
Sardanyés, J.; Solé, R.V . Bifurcations and phase transitions in spatially-extended two-member hypercycles.J. Theor. Biol. 2006, 243, 468–482
2006
-
[63]
Chemical Evolution and the Evolutionary Definition of Life
Higgs, P .G. Chemical Evolution and the Evolutionary Definition of Life. J. Mol. Evol. 2017, 84, 225–235
2017
-
[64]
Rolling-circle and strand-displacement mechanisms for non-enzymatic RNA replication at the time of the origin of life
Tupper, A.S.; Higgs, P .S. Rolling-circle and strand-displacement mechanisms for non-enzymatic RNA replication at the time of the origin of life. J. Theor. Biol. 2021, 527, 110822
2021
-
[65]
Cooperative Ligation Breaks Sequence Symmetry and Stabilizes Early Molecular Replication
Toyabe, S.; Braun, D. Cooperative Ligation Breaks Sequence Symmetry and Stabilizes Early Molecular Replication. Phys. Rev. X 2019, 9, 011056
2019
-
[66]
On the Origin of Species by Means of Natural Selection, or the Preservation of Favoured Races in the Struggle for Life; John Murray: London, UK, 1859
Darwin, C. On the Origin of Species by Means of Natural Selection, or the Preservation of Favoured Races in the Struggle for Life; John Murray: London, UK, 1859
-
[67]
The eightfold path to non-enzymatic RNA replication
Szostak, J.W. The eightfold path to non-enzymatic RNA replication. J. Syst. Chem. 2012, 3, 2
2012
-
[68]
The Cell: A Molecular Approach, 2nd ed.; NIH-National Library of Medicine: Bethesda, MD, USA, 2000
Cooper, G.M. The Cell: A Molecular Approach, 2nd ed.; NIH-National Library of Medicine: Bethesda, MD, USA, 2000
2000
-
[69]
Alberts, B.; Heald, R.; Johnson, A.; Morgan, D.; Raff, M.; Roberts, K.; Walter, P .Molecular Biology of the Cell; Garland Publishing: New York, NY, USA, 1983
1983
-
[70]
Tube Morphogenesis: Making and Shaping Biological Tubes
Lubarsky, B.; Krasnow, M.A. Tube Morphogenesis: Making and Shaping Biological Tubes. Cell 2003, 112, 19–28
2003
-
[71]
Diffusion of clusters with randomly growing masses
Łuczka, J.; Hänggi, P .; Gadomski, A. Diffusion of clusters with randomly growing masses. Phys. Rev. E 1995, 51, 5762
1995
-
[72]
Stretched Exponential Kinetics of the Pressure Induced Hydration of Model Lipid Membranes
Gadomski, A. Stretched Exponential Kinetics of the Pressure Induced Hydration of Model Lipid Membranes. A Possible Scenario. J. Phys. II Fr. 1996, 6, 1537–1546
1996
-
[73]
Fractal Reaction Kinetics
Kopelman, R. Fractal Reaction Kinetics. Science 1988, 241, 1620–1626
1988
-
[74]
Entropy Production in a System of Janus Particles
Arango-Restrepo, A.; Torrenegra-Rico, J.D.; Rubi, J.M. Entropy Production in a System of Janus Particles. Entropy 2025, 27, 112
2025
-
[75]
Aggregation territories in the cellular slime molds
Bonner, J.; Dodd, M. Aggregation territories in the cellular slime molds. Biol. Bull. 1962, 122, 13–24
1962
-
[76]
Combining experiments and modelling to understand size regulation in Dictyostelium discoideum
Jang, W.; Gomer, R.H. Combining experiments and modelling to understand size regulation in Dictyostelium discoideum. R. Soc. Interface 2008, 5, 49–58
2008
-
[77]
Formation of pattern in regenerating tissue pieces of Hydra attenuata
Bode, H.R.; Bode, P .M. Formation of pattern in regenerating tissue pieces of Hydra attenuata. I. Head-body proportion regulation. Dev. Biol. 1980, 78, 484–496
1980
-
[78]
Head regeneration in Hydra
Bode, H.R. Head regeneration in Hydra. Dev. Dyn. 2003, 226, 225–236
2003
-
[79]
Minimum tissue size required for hydra regeneration
Shimizu, H.; Sawada, Y.; Sugiyama, T. Minimum tissue size required for hydra regeneration. Dev. Biol. 1993, 155, 287–296
1993
-
[80]
Development of cell differentiation in the transition to multicellularity: A dynamical modeling approach
Van Cauwelaert, E.M.; Arias Del Angel, J.A.; Benites, M.; Azpeitia, E.M. Development of cell differentiation in the transition to multicellularity: A dynamical modeling approach. Front. Microbiol. 2015, 6, 603
2015
-
[81]
Origin of multicellular organisms as an inevitable consequence of dynamical systems
Furusawa C.; Kaneko K. Origin of multicellular organisms as an inevitable consequence of dynamical systems. Anat. Rec. 2002, 268, 327–342
2002
-
[83]
Symmetry Breaking Instabilities in Biological Systems
Prigogine, I.; Lefever, R. Symmetry Breaking Instabilities in Biological Systems. II. J. Chem. Phys. 1968, 48, 1695–1700
1968
-
[84]
Modeling Biological Systems: The Belousov–Zhabotinsky Reaction
Shanks, N. Modeling Biological Systems: The Belousov–Zhabotinsky Reaction. Found. Chem. 2001, 3, 33–53
2001
-
[85]
Migration of zebrafish primordial germ cells: A role for myosin contraction and cytoplasmic flow
Blaser, H.; Reichman-Fried, M.; Castanon, I.; Dumstrei, K.; Marlow, F.L.; Kawakami, K.; Solnica-Krezel, L.; Heisenberg, C.P .; Raz, E. Migration of zebrafish primordial germ cells: A role for myosin contraction and cytoplasmic flow. Dev. Cell 2006, 11, 613–627
2006
-
[86]
Dissipative Structures In Nature And Human Systems.Des
Tiezzi, E.B.P .; Pulselli, R.M.; Marchettini, N.; Tiezzi, E. Dissipative Structures In Nature And Human Systems.Des. Nat. IV 2008, 114, 293–299
2008
-
[87]
Microstratigraphic evidence of in situ fire in the Acheulean strata of Wonderwerk Cave, Northern Cape province, South Africa
Berna, F.; Goldberg, P .; Horwitz, L.K.; Brink, J.; Holt, S.; Bamford, M.; Chazan, M. Microstratigraphic evidence of in situ fire in the Acheulean strata of Wonderwerk Cave, Northern Cape province, South Africa. Proc. Natl. Acad. Sci. USA 2012, 109, 1215–1220
2012
-
[88]
Available online: https://yearbook.enerdata.net/total-energy/world-consumption-statistics.html (accessed on 11 October 2024)
Total Energy Consumption. Available online: https://yearbook.enerdata.net/total-energy/world-consumption-statistics.html (accessed on 11 October 2024)
2024
-
[89]
Sawada, Y
Rafols, I.; Amagai, A.; Maeda, Y.; Macwilliams, H.K. ; Sawada, Y. Cell type proportioning in Dictyostelium slugs: Lack of regulation within a 2.5-fold tolerance range. Differentiation 2001, 67, 107–116
2001
-
[90]
The Oldest Flower: Buried 2000 years, lotus seed finally gets chance to bloom
Oga, I. The Oldest Flower: Buried 2000 years, lotus seed finally gets chance to bloom. Life 1952, 3, 60
2000
-
[91]
Survival in extreme environments— On the current knowledge of adaptations in tardigrades
Møbjerg, N.; Halberg, K.A.; Jørgensen, A.; Persson, D.; Bjørn, M.; Ramløv, H.; Kristensen, R.M. Survival in extreme environments— On the current knowledge of adaptations in tardigrades. Acta Physiol. 2011, 202, 409–420
2011
-
[92]
Thermodynamics of Seed and Plant Growth
Dragicevic, V . Thermodynamics of Seed and Plant Growth. In Thermodynamics—Systems in Equilibrium and Non-Equilibrium ; Piraján, J.C.M., Ed.; InTech: Rijeka, Croatia, 2011
2011
-
[93]
Conrad Waddington and the origin of epigenetics
Noble, D. Conrad Waddington and the origin of epigenetics. J. Exp. Biol. 2015, 218, 816–818. Entropy 2025, 1, 0 18 of 18 Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s)...
2015
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