Primordial Evolvability: Impasses and Challenges
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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. -
Prebiological Evolution and the Metabolic Origins of Life
Prebiological Evolution and the Andrew J. Pratt* Metabolic Origins of Life University of Canterbury Keywords Abiogenesis, origin of life, metabolism, hydrothermal, iron Abstract The chemoton model of cells posits three subsystems: metabolism, compartmentalization, and information. A specific model for the prebiological evolution of a reproducing system with rudimentary versions of these three interdependent subsystems is presented. This is based on the initial emergence and reproduction of autocatalytic networks in hydrothermal microcompartments containing iron sulfide. The driving force for life was catalysis of the dissipation of the intrinsic redox gradient of the planet. The codependence of life on iron and phosphate provides chemical constraints on the ordering of prebiological evolution. The initial protometabolism was based on positive feedback loops associated with in situ carbon fixation in which the initial protometabolites modified the catalytic capacity and mobility of metal-based catalysts, especially iron-sulfur centers. A number of selection mechanisms, including catalytic efficiency and specificity, hydrolytic stability, and selective solubilization, are proposed as key determinants for autocatalytic reproduction exploited in protometabolic evolution. This evolutionary process led from autocatalytic networks within preexisting compartments to discrete, reproducing, mobile vesicular protocells with the capacity to use soluble sugar phosphates and hence the opportunity to develop nucleic acids. Fidelity of information transfer in the reproduction of these increasingly complex autocatalytic networks is a key selection pressure in prebiological evolution that eventually leads to the selection of nucleic acids as a digital information subsystem and hence the emergence of fully functional chemotons capable of Darwinian evolution. 1 Introduction: Chemoton Subsystems and Evolutionary Pathways Living cells are autocatalytic entities that harness redox energy via the selective catalysis of biochemical transformations. -
Phytochemistry and Pharmacogenomics of Natural Products Derived from Traditional Chinese Medicine and Chinese Materia Medica with Activity Against Tumor Cells
152 Phytochemistry and pharmacogenomics of natural products derived from traditional chinese medicine and chinese materia medica with activity against tumor cells Thomas Efferth,1 Stefan Kahl,2,3,6 Kerstin Paulus,4 Introduction 2 5 3 Michael Adams, Rolf Rauh, Herbert Boechzelt, Cancer is responsible for 12% of the world’s mortality and Xiaojiang Hao,6 Bernd Kaina,5 and Rudolf Bauer2 the second-leading cause of death in the Western world. 1 Limited chances for cure by chemotherapy are a major German Cancer Research Centre, Pharmaceutical Biology, contributing factor to this situation. Despite much progress Heidelberg, Germany; 2Institute of Pharmaceutical Sciences, University of Graz; 3Joanneum Research, Graz, Austria; 4Institute in recent years,a key problem in tumor therapy with of Pharmaceutical Biology, University of Du¨sseldorf, Du¨sseldorf, established cytostatic compounds is the development of Germany; 5Institute of Toxicology, University of Mainz, Mainz, 6 drug resistance and threatening side effects. Most estab- Germany; and State Key Laboratory of Phytochemistry and Plant lished drugs suffer from insufficient specificity toward Resources in West China, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, China tumor cells. Hence,the identification of improved anti- tumor drugs is urgently needed. Several approaches have been delineated to search for Abstract novel antitumor compounds. Combinatorial chemistry,a The cure from cancer is still not a reality for all patients, technology conceived about 20 years ago,was envisaged as which is mainly due to the limitations of chemotherapy a promising strategy to this demand. The expected surge in (e.g., drug resistance and toxicity). Apart from the high- productivity,however,has hardly materialized (1). -
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. -
Virtual Screening for the Discovery of Bioactive Natural Products by Judith M
Progress in Drug Research, Vol. 65 (Frank Petersen and René Amstutz, Eds.) © 2008 Birkhäuser Ver lag, Basel (Swit zer land) Virtual screening for the discovery of bioactive natural products By Judith M. Rollinger1, Hermann Stuppner1,2 and Thierry Langer2,3 1Institute of Pharmacy/Pharmacog- nosy, Leopold-Franzens University of Innsbruck, Innrain 52c, 6020 Innsbruck, Austria 2Inte:Ligand GmbH, Software Engineering and Consulting, Clemens Maria Hofbauergasse 6, 2344 Maria Enzersdorf, Austria 3Institute of Pharmacy/Pharmaceu- tical Chemistry/Computer Aided Molecular Design Group, Leopold- Franzens University of Innsbruck, Innrain 52c, 6020 Innsbruck, Austria <[email protected]> Virtual screening for the discovery of bioactive natural products Abstract In this survey the impact of the virtual screening concept is discussed in the field of drug discovery from nature. Confronted by a steadily increasing number of secondary metabolites and a growing number of molecular targets relevant in the therapy of human disorders, the huge amount of information needs to be handled. Virtual screening filtering experiments already showed great promise for dealing with large libraries of potential bioactive molecules. It can be utilized for browsing databases for molecules fitting either an established pharma- cophore model or a three dimensional (3D) structure of a macromolecular target. However, for the discovery of natural lead candidates the application of this in silico tool has so far almost been neglected. There are several reasons for that. One concerns the scarce availability of natural product (NP) 3D databases in contrast to synthetic libraries; another reason is the problematic compatibility of NPs with modern robotized high throughput screening (HTS) technologies. -
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. -
Combinatorial and High-Throughput Screening of Materials Libraries: Review of State of the Art Radislav Potyrailo*
REVIEW pubs.acs.org/acscombsci Combinatorial and High-Throughput Screening of Materials Libraries: Review of State of the Art Radislav Potyrailo* Chemistry and Chemical Engineering, GE Global Research Center, Niskayuna, New York 12309, United States Krishna Rajan Department of Materials Science and Engineering and Institute for Combinatorial Discovery, Iowa State University, Ames, Iowa 50011, United States Klaus Stoewe Universit€at des Saarlandes, Technische Chemie, Campus C4.2, 66123, Saarbruecken, Germany Ichiro Takeuchi Department of Materials Science and Engineering, University of Maryland, College Park, Maryland 20742, United States Bret Chisholm Center for Nanoscale Science and Engineering and Department of Coatings and Polymeric Materials, North Dakota State University, Fargo, North Dakota 58102, United States Hubert Lam Chemistry and Chemical Engineering, GE Global Research Center, Niskayuna, New York 12309, United States ABSTRACT: Rational materials design based on prior knowledge is attractive because it promises to avoid time-consuming synthesis and testing of numerous materials candidates. However with the increase of complexity of materials, the scientific ability for the rational materials design becomes progressively limited. As a result of this complexity, combinatorial and high-throughput (CHT) experimentation in materials science has been recognized as a new scientific approach to generate new knowledge. This review demonstrates the broad applicability of CHT experimentation technologies in discovery and optimiza- tion of new materials. We discuss general principles of CHT materials screening, followed by the detailed discussion of high-throughput materials characteriza- tion approaches, advances in data analysis/mining, and new materials develop- ments facilitated by CHT experimentation. We critically analyze results of materials development in the areas most impacted by the CHT approaches, such as catalysis, electronic and functional materials, polymer-based industrial coatings, sensing materials, and biomaterials. -
Combinatorial Chemistry: a Guide for Librarians
City University of New York (CUNY) CUNY Academic Works Publications and Research City College of New York 2002 Combinatorial Chemistry: A Guide for Librarians Philip Barnett CUNY City College How does access to this work benefit ou?y Let us know! More information about this work at: https://academicworks.cuny.edu/cc_pubs/266 Discover additional works at: https://academicworks.cuny.edu This work is made publicly available by the City University of New York (CUNY). Contact: [email protected] Issues in Science and Technology Librarianship Winter 2002 DOI:10.5062/F4DZ0690 URLs in this document have been updated. Links enclosed in{curly brackets} have been changed. If a replacement link was located, the new URL was added and the link is active; if a new site could not be identified, the broken link was removed. Combinatorial Chemistry: A Guide for Librarians Philip Barnett Associate Professor and Science Reference Librarian Science/Engineering Library City College of New York (CUNY) [email protected] Abstract In the 1980s a need to synthesize many chemical compounds rapidly and inexpensively spawned a new branch of chemistry known as combinatorial chemistry. While the techniques of this rapidly growing field are used primarily to find new candidate drugs, combinatorial chemistry is also finding other applications in various fields such as semiconductors, catalysts, and polymers. This guide for librarians explains the basics of combinatorial chemistry and elucidates the key information sources needed by combinatorial chemists. Introduction Most librarians who serve chemists or chemistry students are familiar with the six main disciplines of chemistry. These are: Physical chemistry applies the fundamental laws of physics, such as thermodynamics, electricity, and quantum mechanics, to explain chemical behavior. -
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). -
Lack of Evolvability in Self-Sustaining Autocatalytic Networks Constraints Metabolism-first Scenarios for the Origin of Life
Lack of evolvability in self-sustaining autocatalytic networks constraints metabolism-first scenarios for the origin of life Vera Vasasa,b, Eörs Szathmárya,b,c,1, and Mauro Santosa,d aCollegium Budapest, Institute for Advanced Study, H-1014 Budapest, Hungary; bInstitute of Biology, Eötvös University, H-1117 Budapest, Hungary; cParmenides Center for the Study of Thinking, Munich D-80333, Germany; and dDepartament de Genètica i de Microbiologia, Grup de Biologia Evolutiva, Universitat Autònoma de Barcelona, 08193 Bellaterra, Barcelona, Spain Edited by Gerald F. Joyce, The Scripps Research Institute, La Jolla, CA, and approved December 3, 2009 (received for review November 3, 2009) A basic property of life is its capacity to experience Darwinian reactions that may deplete certain reactants (12) and dynamical evolution. The replicator concept is at the core of genetics-first aspects of autocatalytic cycles if they are assumed to coexist in theories of the origin of life, which suggest that self-replicating abstract space (13). Even if we ignore such hurdles, the key oligonucleotides or their similar ancestors may have been the first question still remains: Was a network of chemical reactions able to “living” systems and may have led to the evolution of an RNA increase in complexity and eventually undergo Darwinian selec- world. But problems with the nonenzymatic synthesis of biopol- tion as assumed by their advocates? A basic condition for any ymers and the origin of template replication have spurred the nascent Darwinian process in a population of self-reproducing alternative metabolism-first scenario, where self-reproducing systems is that they must have a sort of hereditary transmission and evolving proto-metabolic networks are assumed to have pre- which requires, in turn, becoming familiar with a lesser-known and dated self-replicating genes. -
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 . -
The Origin of Life: What We Do and Don't Know
The Origin of Life: What We Do and Don’t Know Jim Cleaves Blue Marble Space Institute for Science Image courtesy of the American Museum of Natural History How Do We Think Life Began on Earth? A View from 38 Years Ago… “It must be admitted from the beginning that we do not know how life began. It is generally believed that a variety of processes led to the formation of simple organic compounds on the primitive Earth. These compounds combined together to give more and more complex structures until one was formed that could be called living. No one should be satisfied with an explanation as general as this.” S.L. Miller and L.E. Orgel, The Origins of Life on Earth, 1974 NSCORT Exobiology Modern Historical Background Oparin postulated the self-organization of environmentally supplied compounds produced in an environment different from the modern one (e.g. with a different atmosphere); this was an outgrowth of 19th c. thinking on the problem. A.I. Oparin H.C. Urey S.L. Miller 1894-1980 1930-2007 1893-1981 Urey extended Oparin’s model to ideas corroborated by mid-20th c. conceptions of the origin of the solar system, backed up discoveries in isotope geochemistry. Miller’s electric discharge experiment provided an experimental validation of the possible link between the two concepts. The Origin of Biochemistry (as a Scientific Field) First amino acid discovered in 1806 (asparagine, interestingly threonine not until 1936!). Proteins were not identified as such until 1838; the role of amino acids in forming them was not understood until the 1860’s.