AUTOCATALYTIC REPLICATION of Ijolymers J. Doyne FARMER

Total Page:16

File Type:pdf, Size:1020Kb

AUTOCATALYTIC REPLICATION of Ijolymers J. Doyne FARMER Physica 220 (1986) SO-61 North-Holland, Amsterdam AUTOCATALYTIC REPLICATION OF IjOLYMERS J. Doyne FARMER Center for Nonlinear Studies, MS B2.58, Los Alamos National Laboratory, L.os Alamos, NM 87545, USA Stuart A. KAUFFMAN Department of Biochemistry and Biophysics, School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA and Norman H. PACKARD The Institute /or Advanced Study Princeton, NJ 08540, USA We construct a simplified model for the chemistry of molecules such as polypeptides or single stranded nucleic acids, whose reactions can be restricted to catalyzed cleavage and condensation. We use this model to study the spontaneous emergence of autocatalytic sets from an initial set of simple building blocks, for example short strands of ammo acids or nucleotides. When the initial set exceeds a critical diversity, autocatalytic reactions generate large molecular species in abundance. Our results suggest that the critical diversity is not very large. Autocatalytic sets formed in this way can be regarded as primitive connected metabolisms, in which particular species are selected if their chemical properties are advantageous for the metabolism. Such autocatalytic sets may have played a crucial role in the origin of life, providing a bridge from simple molecular species to complex proteins and nucleic acids. Many of our results are experimentally testable. 1. Introduction way from there to the complex proteins and nucleic acids needed for contemporary life. The possibil- The origin of life poses fundamental problems ity that we study here is that the origin of life concerning the prebiotic origins of molecular came about through the evolution of autocatalytic species. Present life forms contain a rich set of sets of polypeptides and/or single stranded RNA. chemical constituents which regenerate themselves By autocatalytic set we mean that each member is through processes of replication, transcription, and the product of at Yeast one reaction catalyzed by at translation, relying heavily on the collaboration of least one other member. Our central thesis here is proteins and nucleic acids. Although contem- that templating is not required to achieve an auto- porary life may have evolved from earlier, simpler catalytic set. Instead, simple polymers can cata- forms, there seems to be a minimum level of lyze the formation of each other, generating complexity below which life based on templating autocatalytic sets that evolve in time to create is not possible. How, then, were the conditions complex chemical species whose properties are needed to achieve life based on templating ever tuned for effective collaboration with each other. ieachtSd? The system thus bootstraps itself from a simple The experiments of Miller and Urey [l] and initial state to a sophisticated autocatalytic set, others indicate that it is possible to form amino which might be regarded as a precursor life form. acids and other small metabolites from simpler The sets provide the rich substrate of raw materi- constituents in a fairly direct way, but it is a long als and coupled catalytic relationships needed for 0167-2789/86/$03.50 Q Elsevier Science Publishers B.V. (North-Holland Physics Publishing Division) J.D. Farmer et at/A utocatalytic replication of polymers 51 the origin of contemporary life. The importance of then single strands of RNA would be capable of autocatalytic properties has also been discussed by catalyzing each other in precisely the fashion that Calvin [2], Eigen [3], Eigen and Schuster [4, 5], we model here. Our model is general, describing Kauffman [6, 7], Rossler [8, 9, 10], and Dyson [11, any family of polymers undergoing catalyzed 121. cleavage and condensation reactions. The molecular species comprising our autocata- What we do here can be viewed as a preliminary lyric sets may be any polymers that can undergo attempt to simulate and understand the qualitative catalyzed cleavage and condensation reactions. behavior of a model chemistry. Simple con- Given a sufficiently diverse supply of simple stituents forming a food set are pumped into a monomers and small polymers as raw materials, stirred tank which is allowed to overflow. Our catalyzed reactions between them can form more results demonstrate that what happens is critically complex molecular species. The new species in dependent on the properties of the food set. Below turn serve as substrates and catalysts for further a critical complexity very little happens. Above reactions, increasing the complexity of the system this critical complexity, however, a chain reaction until an autocatalytic set is created. Catalyzed is triggered that generates a rich autocatalytic set. pathways from the "food set" maintain the mem- The model chemistry we construct here also bers of the autocatalytic set. The result is a presents an interesting problem in dynamical sys- metabolism converting simple molecules into com- tems theory. For a fixed set of chemical species we plex ones. Different catalytic pathways within the model the dynamics in terms of ordinary differen- network compete with each other, enhancing the tial equations describing the change in concentra- concentration of some species at the expense of tion of each species. The set of chemical species others. The set thus evolves in time, creating a rich can change in time, however, so that the equations but focused collection of molecular species whose themselves are dynamic. cooperative chemical properties make them more Rossler first stressed the qualitative dynamics of fit than others. Such autocatalytic sets might serve autocatalytic networks that grow in complexity [8, as a bridge from simple building blocks such as 9, 10]. Even though the system is always finite at amino acids and nucleotides to contemporary life any given time, it potentially explores an infinite based on a genetic code. dimensional space. The system evolves by chang- Experiments have shown that ligation (end con- ing its equation of motion. These changes can take densation) and cleavage reactions among poly- place over a very long time scale. Such systems peptides may be catalyzed by other polypeptides provide a novel type of dynamical system which [13, 14, 15]. More complicated reactions may also has received very little attention. be catalyzed, e.g. transpeptidation reactions, where The work described here has practical motiva- pieces of two polypeptides switch places. These tions as well. Current molecular cloning tech- more complicated reactions may, however, be re- niques now make it possible to generate very large garded as compositions of ligation and cleavage. numbers of novel DNA molecules in expression Thus, there is good experimental evidence indicat- vectors, hence to clone very large numbers of ing that the type of catalyzed reactions we study novel genes, and study their RNA or protein here occur for polypeptides. products for catalytic or other activities. Such In addition, recent experiments have shown that experiments are now underway, and may ulti- certain single stranded RNA sequences can be mately lead to actual construction of autocatalytic reproduced autocatalytically. It has been conjec- polymer systems, possibly with useful commercial tured that this mechanism might be extended to properties. Our work may be viewed as a feasi- include arbitrary sequences [16]. If this were true, bility study for this process. Our results suggest 52 J.D. Farmer et al./ Autocatalytic replication of polymers that there is a minimum critical complexity of the For simplicity, at this stage we consider only food set and catalytic properties which must be catalyzed reactions. Uncatalyzed reactions may achieved if such efforts are to succeed. ultimately play an important role in allowing Basic aspects of the model discussed here have "tunnelling" to new species, but in view of the already been introduced elsewhere [6, 7]. enormous discrepancy in reaction rates, it seems plausible to ignore them for the moment. Thus in order for a reaction to occur at all, it must have at 2. Description of the model least one catalyst present in the system. Our reac- tions are of the form. Real chemical reactions among large sets of e peptides or oligonucliotides are too complicated to c+hma+b, (1) have any ho~e of simulating in detail because of where c is the concatenation of a and b, e is the limitations on both our current knowledge of bio- enzyme catalyzing the reaction, and h represents chemistry and of current computer technology. water, which plays an important role in setting the Any simulation must use a drastically simplified equilibrium concentrations. model of chemical reactions. The goal in con- As illustrated in fig. 1, the list of species to- structing such models is to preserve the qualitative gether with their reactions can be visualized as a features that are most important in generating robust reproduction of what is typically seen in graph, with arrows connecting the two cleavage experiments. products a and b and the condensate c to a nodal point, corresponding to the reaction. The network The polymers under study are assumed to be one dimensional chains, represented by one di- of catalysts can be thought of as a superimposed mensional strings over an n letter alphabet, of the graph connecting the catalysts to the reaction form s x, s 2, • • •. The letters s may represent differ- nodes. These graphs can change in time as new ent amino acids, or alternatively, different nucleo- species are created or old species are eliminated from the system. Assignment of chemical proper- tides. The strings are oriented from left to right. In proteins this corresponds to the orientation from ties amounts to giving a procedure for determin- the amino terminal on one end to the carboxy ing the reaction and catalysis graphs, together with associated kinetic properties such as reaction terminal on the other end, and for single stranded velocities, equilibrium constants, etc. In the fol- RNA it corresponds to the asymmetry between lowing section we address the problem of con- the 5' and 3' ends.
Recommended publications
  • Molecular Cooperation: a Self-Less Origin of Life N
    XVIIIth Intl Conf on Origin of Life 2017 (LPI Contrib. No. 1967) 4122.pdf July 16-21, 2017 at UC San Diego, CA, USA Molecular Cooperation: A Self-less Origin of Life N. Lehman1 1Department of Chemistry, Portland State University * [email protected] Introduction: Molecular cooperation is the obligate dependence of multiple information- bearing molecules on the propagation of the system as a whole. In an RNA world, multiple types of such cooperation would have been possible [1], including simple reaction pathways with more than one informational reactant, polymer strands that interact to form a catalytic whole, cross- catalysis and cyclical-catalysis, a formal autocatalytic set, and perhaps even a hypercycle. I will discuss these various types of molecular cooperation and explore how they differ from “simple” chemistry that may have many reactants but no cooperative component. Reproduction, replication, and recombination: Living systems are characterized by the propagation and proliferation of informational units as a function of time. Szathmáry [2] intro- duced a distinction between replicators and reproducers. Here, I will expand on this difference, tie them into prebiotic chemistry, and emphazise that cooperation must have played a key role in the origins of life, rather than being a later evolutionary invention. Reproduction is the ability of one molecule to catalyze the production of other, similar molecules. Replication is a sub-set of reproduction whereby a template is used to augment the creation of a second molecule from the first, one monomer at a time. Recombination is the swapping of large blocks of genetic infor- mation, rather than a series of unit-by-unit replication events.
    [Show full text]
  • Comment on “Tibor Gánti and Robert Rosen” by Athel Cornish-Bowden
    Comment on \Tibor G´anti and Robert Rosen" by Athel Cornish-Bowden Wim Hordijk SmartAnalaytiX.com, Lausanne, Switzerland Mike Steel Biomathematics Research Centre, University of Canterbury, Christchurch, New Zealand 1. Introduction In a recent article published in this journal [1], a comparison is made between Tibor G´anti's chemoton model and Robert Rosen's (M; R) systems. This com- parison is very insightful indeed. As the author remarks, these models seem to be two contrasting approaches, but upon closer inspection have more in common than one would initially think. At the end of the article, the author also briefly mentions related models, such as autopoietic systems and autocatalytic sets. In particular, autocatalytic sets are presented as follows [1]: \Autocatalytic sets (Kauffman, 1986) are the most different, because all of the others incorporate, at least implicitly, the idea that a min- imal self-organizing system must be small, i.e. that it must have a minimum of components. Kauffman, in contrast, made no such condition, but instead imagined self-organization as a property that might arise spontaneously in a system with enough weakly interact- ing components. As he assumed (reasonably) that the probability that any given component might catalyse a particular condensation reaction would be very small, this inevitably leads to the conclusion that the total number of components must be very large (at least Preprint submitted to Journal of Theoretical Biology October 10, 2015 millions) in order to have certainty that every reaction will have a catalyst." However, work on autocatalytic networks over the past 15 years has clearly established a contrary conclusion: autocatalytic sets of small size are not only predicted, but observed in simulations and the laboratory.
    [Show full text]
  • Topological and Thermodynamic Factors That Influence the Evolution of Small Networks of Catalytic RNA Species
    Downloaded from rnajournal.cshlp.org on September 24, 2021 - Published by Cold Spring Harbor Laboratory Press Topological and thermodynamic factors that influence the evolution of small networks of catalytic RNA species JESSICA A.M. YEATES,1 PHILIPPE NGHE,2 and NILES LEHMAN1 1Department of Chemistry, Portland State University, Portland, Oregon 97207, USA 2Laboratoire de Biochimie, École Supérieure de Physique et de Chimie Industrielles de la Ville de Paris (ESPCI Paris), PSL Research University, CNRS UMR 8231, 75231 Paris, France ABSTRACT An RNA-directed recombination reaction can result in a network of interacting RNA species. It is now becoming increasingly apparent that such networks could have been an important feature of the RNA world during the nascent evolution of life on the Earth. However, the means by which such small RNA networks assimilate other available genotypes in the environment to grow and evolve into the more complex networks that are thought to have existed in the prebiotic milieu are not known. Here, we used the ability of fragments of the Azoarcus group I intron ribozyme to covalently self-assemble via genotype-selfish and genotype-cooperative interactions into full-length ribozymes to investigate the dynamics of small (three- and four-membered) networks. We focused on the influence of a three-membered core network on the incorporation of additional nodes, and on the degree and direction of connectivity as single new nodes are added to this core. We confirmed experimentally the predictions that additional links to a core should enhance overall network growth rates, but that the directionality of the link (a “giver” or a “receiver”) impacts the growth of the core itself.
    [Show full text]
  • Foldamer Hypothesis for the Growth and Sequence Differentiation of Prebiotic Polymers
    Foldamer hypothesis for the growth and sequence differentiation of prebiotic polymers Elizaveta Gusevaa,b,c, Ronald N. Zuckermannd, and Ken A. Dilla,b,c,1 aLaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794; bDepartment of Chemistry, Stony Brook University, Stony Brook, NY 11794; cDepartment of Physics and Astronomy, Stony Brook University, Stony Brook, NY 11794; and dMolecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, CA 94720 Contributed by Ken A. Dill, July 10, 2017 (sent for review December 8, 2016; reviewed by Hue Sun Chan and Steve Harvey) It is not known how life originated. It is thought that prebiotic that autocatalytic chain elongation arises from template-assisted processes were able to synthesize short random polymers. How- ligation and random breakage (13). Autocatalytic templating ever, then, how do short-chain molecules spontaneously grow of the self-replication of peptides has also been shown (14, longer? Also, how would random chains grow more informational 15). These are models of the “preinformational” world before and become autocatalytic (i.e., increasing their own concentra- heteropolymers begin to encode biological sequence–structure tions)? We study the folding and binding of random sequences relationships. of hydrophobic (H) and polar (P) monomers in a computational Another class of models describes a “postinformational” het- model. We find that even short hydrophobic polar (HP) chains can eropolymer world, in which there is already some tendency of collapse into relatively compact structures, exposing hydrophobic chains to evolve. In one such model, it is assumed that polymers surfaces. In this way, they act as primitive versions of today’s pro- serve as their own templates because of the ability of certain het- tein catalysts, elongating other such HP polymers as ribosomes eropolymers to concentrate their own precursors (16–19).
    [Show full text]
  • Origins of Life: a Problem for Physics
    Origins of Life: A Problem for Physics Sara Imari Walker School of Earth and Space Exploration and Beyond Center for Fundamental Concepts in Science, Arizona State University, Tempe AZ USA; Blue Marble Space Institute of Science, Seattle WA USA E-mail: [email protected] Abstract. The origins of life stands among the great open scientific questions of our time. While a number of proposals exist for possible starting points in the pathway from non-living to living matter, these have so far not achieved states of complexity that are anywhere near that of even the simplest living systems. A key challenge is identifying the properties of living matter that might distinguish living and non-living physical systems such that we might build new life in the lab. This review is geared towards covering major viewpoints on the origin of life for those new to the origin of life field, with a forward look towards considering what it might take for a physical theory that universally explains the phenomenon of life to arise from the seemingly disconnected array of ideas proposed thus far. The hope is that a theory akin to our other theories in fundamental physics might one day emerge to explain the phenomenon of life, and in turn finally permit solving its origins. arXiv:1705.08073v1 [q-bio.PE] 23 May 2017 CONTENTS 2 Contents 1 Introduction 2 2 Knowns and unknowns in solving the origin of life 4 2.1 One planet, one sample: The significance of anthropic bias . .5 2.2 Two paths to a solution .
    [Show full text]
  • Exploring the Origins of Life with Autocatalytic Sets
    Physical Sciences︱ The COOLscience Club Exploring the origins of life with autocatalytic sets How did we get here? ne of the most popular are still those in the fullerene family, This question has plagued theories about the beginnings which are strange, football-shaped philosophers, scientists and Oof our universe is the Big networks of carbon atoms, but even individuals alike for hundreds, Bang theory. This is the idea that the largest of these contains just the universe started as an infinitely 70 atoms. if not thousands of years. How did our complex chemistry evolve? The COOL Science Club explore questions around Evolved species, such as dense and warm point that suddenly the origin of life. humans, are incredibly complex violently expanded within just a few Fullerenes aren’t found everywhere. systems, even down to the fractions of a second. While the exact Many planets only have very simple microscopic cellular level, beginning of the universe, what molecules, composed of less than structures. Understanding how such in 1971. Later on, the theory was and understanding our own happened within the first trillionth of 10 atoms. So how did such simple sets work might not just give us a further developed by him and others, origins of life and how our Professor Stuart Kauffman and a trillionth of a second, still has many chemical building blocks come deeper understanding of the origins of with computational and experimental collaborators are working on the theory DNA came to be what we mysteries, scientists now have many together to create the complexity our life but pave the way to new living studies looking to investigate and of autocatalytic sets.
    [Show full text]
  • Spontaneous Formation of Autocatalytic Sets with Self-Replicating Inorganic Metal Oxide Clusters
    Spontaneous formation of autocatalytic sets with self-replicating inorganic metal oxide clusters Haralampos N. Mirasa, Cole Mathisa, Weimin Xuana, De-Liang Longa, Robert Powa, and Leroy Cronina,1 aSchool of Chemistry, University of Glasgow, G12 8QQ Glasgow, United Kingdom Edited by Thomas E. Mallouk, The Pennsylvania State University, University Park, PA, and approved March 25, 2020 (received for review December 10, 2019) Here we show how a simple inorganic salt can spontaneously form of any added ligands or reducing agents (14). When a reducing autocatalytic sets of replicating inorganic molecules that work via agent is used, it is possible to produce a family of reduced clusters ≡ 3– molecular recognition based on the {PMo12} [PMo12O40] Keggin where the nuclearity can increase up to a maximum of 368 and ≡ 22– ion, and {Mo36} [H3Mo57M6(NO)6O183(H2O)18] cluster. These diverse structures such as nanosized spheres {Mo132}, wheels 16– small clusters are able to catalyze their own formation via an autocat- {Mo154}, capped wheels {Mo248} ≡ [H16Mo248O720(H2O)128] ,and alytic network, which subsequently template the assembly of gigantic 48– “lemon”-shaped {Mo368} ≡ [H16Mo368O1032(H2O)240(SO4)48] ≡ 14– molybdenum-blue wheel {Mo154} [Mo154O462H14(H2O)70] ,{Mo132} clusters (Fig. 1). Even with a reducing agent less than 10 specific ≡ VI V 42– [Mo 72Mo 60O372(CH3COO)30(H2O)72] ball-shaped species contain- classes of large reduced molybdate clusters are known (Fig. 1) ing 154 and 132 molybdenum atoms, and a {PMo12}⊂{Mo124Ce4} ≡ VI V VI V 5– despite an incalculable number of possibilities, and the reactions [H16Mo 100Mo 24Ce4O376(H2O)56 (PMo 10Mo 2O40)(C6H12N2O4S2)4] that form the clusters are fast.
    [Show full text]
  • Prebiotic Network Evolution: Six Key Parameters
    Molecular BioSystems Prebiotic Network Evolution: Six Key Parameters Journal: Molecular BioSystems Manuscript ID MB-ART-09-2015-000593.R1 Article Type: Review Article Date Submitted by the Author: 02-Oct-2015 Complete List of Authors: Nghe, Philippe; CNRS ESPCI ParisTech, Laboratoire de Biochimie Hordijk, Wim; SmartAnalytiX.com, Kauffman, Stuart; Institute for Systems Biology, Walker, Sara; Arizona State University, School of Earth and Space Exploration and Beyond Center for Fundamental Concepts in Science Schmidt, Francis; University of Missouri, Biochemistry Kemble, Harry; CNRS ESPCI ParisTech, Yeates, Jessica; Portland State University, Chemistry Lehman, Niles; Portland State University, Department of Chemistry Page 1 of 36 Molecular BioSystems Prebiotic Network Evolution: Six Key Parameters Philippe Nghe 1†, Wim Hordijk 2†, Stuart A. Kauffman 3, Sara I. Walker 4, Francis J. Schmidt 5, Harry Kemble 1, Jessica A.M. Yeates 6, and Niles Lehman 6* 1 Laboratoire de Biochimie, CNRS - ESPCI ParisTech, France 2 SmartAnalytiX.com, Lausanne, Switzerland 3 Institute for Systems Biology, Seattle, WA 98109 USA 4 School of Earth and Space Exploration and Beyond Center for Fundamental Concepts in Science, Arizona State University, Tempe, AZ 85287 USA 5 Department of Biochemistry, University of Missouri, 117 Schweitzer Hall, Columbia, MO 65211, USA 6 Department of Chemistry, Portland State University, PO Box 751, Portland, OR 97207 USA †These authors contributed equally to this work. *To whom correspondence should be addressed at: Niles Lehman Department of Chemistry Portland State University PO Box 751 Portland, OR 97207 +1-503-725-8769 [email protected] 1 Molecular BioSystems Page 2 of 36 Abstract The origins of life likely required the cooperation among a set of molecular species interacting in a network.
    [Show full text]
  • Origin of Life Ashwini Kumar Lal Ministry of Statistics & Programme Implementation Government of India, New Delhi Abstract
    1 Origin of Life by Ashwini Kumar Lal Ministry of Statistics & Programme Implementation Government of India, New Delhi Abstract The evolution of life has been a big enigma despite rapid advancements in the field of astrobiology, astrophysics and genetics in recent years. The answer to this puzzle has been as mindboggling as the riddle relating to evolution of Universe itself. Despite the fact that panspermia has gained considerable support as a viable explanation for origin of life on the Earth and elsewhere in the Universe, the issue however, remains far from a tangible solution. This paper examines the various prevailing hypotheses regarding origin of life like abiogenesis, RNA World, iron-sulphur world, panspermia, and concludes that delivery of life-bearing organic molecules by the comets in the early epoch of the Earth alone possibly was not responsible for kickstarting the process of evolution of life on our planet. Key words : Abiogenesis, Biopoiesis Panspermia, LUCA, Microbes, Thermophiles, Extremophiles, Cyanobacteria, RNA world, Miller-Urey Experiment, Iron - sulphur world, Comets 2 Introduction: The question of evolution of life on the Earth and elsewhere in the Universe has ever been as challenging as the question of evolution of the Universe itself. Science does not provide authentic explanation regarding the origin of the Universe in the controversial ‘Big Bang’ theory for evolution of the Universe (Arp et al. 1990), nor does it provide any satisfactory explanation regarding the origin of life despite considerable advancements
    [Show full text]
  • Presentation
    IRENA MAMAJANOV FROM MESSY CHEMISTRY TO THE ORIGINS OF LIFE Habitability: Producing Conditions Conducive to Life LPI “First Billion Years” Conference Series September 9 2019 PLANETARY HABITABILITY AS PERCEIVED BY A CHEMIST WHAT IS HABITABILITY ANYWAY? Planetary habitability is the measure of a planet's or a natural satellite's potential to develop and sustain life. EARTH-CENTRIC? DEFINITION OF LIFE LIFE IS A SELF-SUSTAINING SYSTEM CAPABLE OF DARWINIAN EVOLUTION NASA Working Definition HOW WE STUDY ORIGINS OF LIFE TWO APPROACHES IN THE BROADEST SENSE ▸ More Earth biology-centric ▸ Prebiotic synthesis of biological building blocks ▸ Setting biological processes in abiotic environments ▸ Evolution of biological structures ▸ More open-ended: Building a chemical system capable of Darwinian Evolution ▸ Selectivity ▸ Replication ▸ Heredity MORE EARTH BIOLOGY-CENTRIC: UNSATISFYING? TV PARADOX ? ? “MORE OPEN ENDED” APPROACH ▸ Looking at systems level processes. MESSY CHEMISTRY ▸ “Systems Chemistry” usually = small defined networks ▸ “Messy Chemistry” = the network chemistry of large, “intractable”, prebiotically plausible systems. ▸ Sloppy biological processes ▸ Processes resembling biological but inefficient Small fraction of the Organic Chemistry M. Kowalik, C.M. Gothard, A.M. Drews, N.A. Gothard, B.A. Grzybowski, K.J.M. Bishop, Parallel optimization of synthetic pathways within the network of organic chemistry. Angew. Network (~0.001%). Chem. Int. Ed. 51, 7928-7932 (2012). EVOLUTION OF THE CHEMOSPHERE AND BIOCHEMICAL NETWORKS Biomimetic Systems Systems approximating biological fUnction • Protoenzymes • Protocells Open-Ended Systems Systems having no predetermined limit or boundary • Autocatalytic systems M. Kowalik, C.M. Gothard, A.M. Drews, N.A. Gothard, B.A. Grzybowski, K.J.M. Bishop (2012) Angew. Chem. Int. Ed. 51:7928-7932 Small fraction of the Organic Chemistry Network (~0.001%).
    [Show full text]
  • Reciprocal Linkage Between Self-Organizing Processes Is Sufficient for Self-Reproduction and Evolvability
    Reciprocal Linkage between Self-organizing Processes is Sufficient for Self-reproduction and Evolvability Terrence W. Deacon Abstract Department of Anthropology and Helen Wills Neuroscience Institute A simple molecular system (“autocell”) is described consisting University of California, Berkeley, CA, USA of the reciprocal linkage between an autocatalytic cycle and [email protected] a self-assembling encapsulation process where the molecular constituents for the capsule are products of the autocatalysis. In a molecular environment sufficiently rich in the substrates, capsule growth will also occur with high predictability. Growth to closure will be most probable in the vicinity of the most pro- lific autocatalysis and will thus tend to spontaneously enclose supportive catalysts within the capsule interior. If subsequently disrupted in the presence of new substrates, the released com- ponents will initiate production of additional catalytic and cap- sule components that will spontaneously re-assemble into one or more autocell replicas, thereby reconstituting and some- times reproducing the original. In a diverse molecular envi- ronment, cycles of disruption and enclosure will cause auto- cells to incidentally encapsulate other molecules as well as reactive substrates. To the extent that any captured molecule can be incorporated into the autocatalytic process by virtue of structural degeneracy of the catalytic binding sites, the al- tered autocell will incorporate the new type of component into subsequent replications. Such altered autocells will be progenitors of “lineages” with variant characteristics that will differentially propagate with respect to the availability of com- monly required substrates. Autocells are susceptible to a lim- ited form of evolution, capable of leading to more efficient, more environmentally fitted, and more complex forms.
    [Show full text]
  • Autocatalytic Sets and Models of Early Life
    Autocatalytic sets and models of early life Wim Filipa Sousa Hordijk ! Mike Steel Joint work with… Elchanan Mossel Stuart Kauffman Oxford, 2016 1 2 It is often said that all the conditions for the first production of Some ‘formal’ models a living organism are now present, which could ever have been present.— But if (& oh what a big if) we could conceive ! (1940s-1980s) in some warm little pond with all sorts of ammonia & phosphoric salts,—light, heat, electricity &c present, that a ! Self-reproducing automata (von Neumann) protein compound was chemically formed, ready to undergo ! Chemoton model (Gánti) still more complex changes, at the present day such matter would be instantly devoured, or absorbed, which would not ! ‘Hypercycles’ (Eigen and Schuster) have been the case before living creatures were formed. ! Collectively autocatalytic systems (Kauffman, Farmer, Bagley) Letter to J. D. Hooker, 1 Feb [1871] ! First cycles in directed graphs (Bollobás and Rasmussen) ! Many ideas/theories re. origin of life ! (M,R)-systems (Rosen) ( ‘RNA world’, genetic first/vs metabolism first, hydrothermal vents ! More recently (1990s-) etc). ! Petri Nets (Sharov) ! Chemical organisation theory (COT) ! Current DNA/RNA/protein molecular " (Contreras et al. 2011; Kreyssig et al. 2012) machinery too complex to have arisen ! RAF theory spontaneously all at once. 3 4 Two features of catalysis ! Key early steps require the emergence (and evolution) of self-sustaining and autocatalytic Accelerates the production of networks of reactions. molecules in the network so they accumulate spatially in concentrations sufficient to sustain further reactions and fight diffusion. Not only much faster rates, but also Vaidya et al., Nature, 2012 tightly ‘coordinated’ Wolfenden,)Snider,)Acc.)Chem.)Res,) 2001) 5 6 Catalytic Reaction System (CRS) Another way to view a CRS =(X, R0,C,F) A directed (and bipartite) graph with Q two types of vertices (molecule types, reactions) and two types of arrows Molecule Catalysis “Food” set types (reactants + products, catalysis).
    [Show full text]