From Prelife to Life: How Chemical Kinetics Become Evolutionary Dynamics † ‡ IRENE A
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George Porter
G EORGE P O R T E R Flash photolysis and some of its applications Nobel Lecture, December 11, 1967 One of the principal activities of man as scientist and technologist has been the extension of the very limited senses with which he is endowed so as to enable him to observe phenomena with dimensions very different from those he can normally experience. In the realm of the very small, microscopes and micro- balances have permitted him to observe things which have smaller extension or mass than he can see or feel. In the dimension of time, without the aid of special techniques, he is limited in his perception to times between about one twentieth of a second ( the response time of the eye) and about 2·10 9 seconds (his lifetime). Y et most of the fundamental processes and events, particularly those in the molecular world which we call chemistry, occur in milliseconds or less and it is therefore natural that the chemist should seek methods for the study of events in microtime. My own work on "the study of extremely fast chemical reactions effected by disturbing the equilibrium by means of very short pulses of energy" was begun in Cambridge twenty years ago. In 1947 I attended a discussion of the Faraday Society on "The Labile Molecule". Although this meeting was en- tirely concerned with studies of short lived chemical substances, the four hundred pages of printed discussion contain little or no indication of the im- pending change in experimental approach which was to result from the intro- . -
Ecological and Evolutionary Dynamics of Interconnectedness and Modularity
Ecological and evolutionary dynamics of interconnectedness and modularity Jan M. Nordbottena,b, Simon A. Levinc, Eörs Szathmáryd,e,f, and Nils C. Stensethg,1 aDepartment of Mathematics, University of Bergen, N-5020 Bergen, Norway; bDepartment of Civil and Environmental Engineering, Princeton University, Princeton, NJ 08544; cDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544; dParmenides Center for the Conceptual Foundations of Science, D-82049 Pullach, Germany; eMTA-ELTE (Hungarian Academy of Sciences—Eötvös University), Theoretical Biology and Evolutionary Ecology Research Group, Department of Plant Systematics, Ecology and Theoretical Biology, Eötvös University, Budapest, H-1117 Hungary; fEvolutionary Systems Research Group, MTA (Hungarian Academy of Sciences) Ecological Research Centre, Tihany, H-8237 Hungary; and gCentre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, N-0316 Oslo, Norway Contributed by Nils C. Stenseth, December 1, 2017 (sent for review September 12, 2017; reviewed by David C. Krakauer and Günter P. Wagner) In this contribution, we develop a theoretical framework for linking refinement of this inquiry is to look for compartmentalization (i.e., microprocesses (i.e., population dynamics and evolution through modularity) in ecosystems. In food webs, for example, compartments natural selection) with macrophenomena (such as interconnectedness (which are subgroups of taxa with many strong interactions in each and modularity within an -
What Genomic Data Can Reveal About Eco-Evolutionary Dynamics
PERSPECTIVE https://doi.org/10.1038/s41559-017-0385-2 What genomic data can reveal about eco-evolutionary dynamics Seth M. Rudman 1*, Matthew A. Barbour2, Katalin Csilléry3, Phillip Gienapp4, Frederic Guillaume2, Nelson G. Hairston Jr5, Andrew P. Hendry6, Jesse R. Lasky7, Marina Rafajlović8,9, Katja Räsänen10, Paul S. Schmidt1, Ole Seehausen 11,12, Nina O. Therkildsen13, Martin M. Turcotte3,14 and Jonathan M. Levine15 Recognition that evolution operates on the same timescale as ecological processes has motivated growing interest in eco-evo- lutionary dynamics. Nonetheless, generating sufficient data to test predictions about eco-evolutionary dynamics has proved challenging, particularly in natural contexts. Here we argue that genomic data can be integrated into the study of eco-evo- lutionary dynamics in ways that deepen our understanding of the interplay between ecology and evolution. Specifically, we outline five major questions in the study of eco-evolutionary dynamics for which genomic data may provide answers. Although genomic data alone will not be sufficient to resolve these challenges, integrating genomic data can provide a more mechanistic understanding of the causes of phenotypic change, help elucidate the mechanisms driving eco-evolutionary dynamics, and lead to more accurate evolutionary predictions of eco-evolutionary dynamics in nature. vidence that the ways in which organisms interact with their evolution plays a central role in regulating such dynamics. environment can evolve fast enough to alter ecological dynam- Particularly relevant is information gleaned from efforts to under- Eics has forged a new link between ecology and evolution1–5. A stand the genomic basis of adaptation, a burgeoning field in evolu- growing area of study, termed eco-evolutionary dynamics, centres tionary biology that investigates the specific genomic underpinnings on understanding when rapid evolutionary change is a meaningful of phenotypic variation, its response to natural selection and effects driver of ecological dynamics in natural ecosystems6–8. -
Manfred Eigen: the Realization of His Vision of Biophysical Chemistry
CORE Metadata, citation and similar papers at core.ac.uk Provided by OIST Institutional Repository Manfred Eigen: the realization of his vision of Biophysical Chemistry Author Herbert Jackle, Carmen Rotte, Peter Gruss journal or European Biophysics Journal publication title volume 47 number 4 page range 319-323 year 2017-12-11 Publisher Springer International Publishing Rights (C) 2017 The Author(s). Author's flag publisher URL http://id.nii.ac.jp/1394/00000696/ doi: info:doi/10.1007/s00249-017-1266-y Creative Commons Attribution 4.0 International (http://creativecommons.org/licenses/by/4.0/) European Biophysics Journal (2018) 47:319–323 https://doi.org/10.1007/s00249-017-1266-y REVIEW Manfred Eigen: the realization of his vision of Biophysical Chemistry Herbert Jäckle1 · Carmen Rotte1 · Peter Gruss1,2 Received: 27 August 2017 / Accepted: 11 November 2017 / Published online: 11 December 2017 © The Author(s) 2017. This article is an open access publication Abstract Manfred Eigen turned 90 on May 9th, 2017. He celebrated with a small group of colleagues and friends on behalf of the many inspired by him over his lifetime—whether scientists, artists, or philosophers. A small group of friends, because many—who by their breakthroughs have changed the face of science in diferent research areas—have already died. But it was a special day, devoted to the many genius facets of Manfred Eigen’s oeuvre, and a day to highlight the way in which he continues to exude a great, vital and unbroken passion for science as well as an insatiable curiosity beyond his own scientifc interests. -
Martin A. Nowak
EVOLUTIONARY DYNAMICS EXPLORING THE EQUATIONS OF LIFE MARTIN A. NOWAK THE BELKNAP PRESS OF HARVARD UNIVERSITY PRESS CAMBRIDGE, MASSACHUSETTS, AND LONDON, ENGLAND 2006 Copyright © 2006 by the President and Fellows of Harvard College All rights reserved Printed in Canada Library of Congress Cataloging-in-Publication Data Nowak, M. A. (Martin A.) Evolutionary dynamics : exploring the equations of life / Martin A. Nowak. p. cm. Includes bibliographical references and index. ISBN-13: 978-0-674-02338-3 (alk. paper) ISBN-10: 0-674-02338-2 (alk. paper) 1. Evolution (Biology)—Mathematical models. I. Title. QH371.3.M37N69 2006 576.8015118—dc22 2006042693 Designed by Gwen Nefsky Frankfeldt CONTENTS Preface ix 1 Introduction 1 2 What Evolution Is 9 3 Fitness Landscapes and Sequence Spaces 27 4 Evolutionary Games 45 5 Prisoners of the Dilemma 71 6 Finite Populations 93 7 Games in Finite Populations 107 8 Evolutionary Graph Theory 123 9 Spatial Games 145 10 HIV Infection 167 11 Evolution of Virulence 189 12 Evolutionary Dynamics of Cancer 209 13 Language Evolution 249 14 Conclusion 287 Further Reading 295 References 311 Index 349 PREFACE Evolutionary Dynamics presents those mathematical principles according to which life has evolved and continues to evolve. Since the 1950s biology, and with it the study of evolution, has grown enormously, driven by the quest to understand the world we live in and the stuff we are made of. Evolution is the one theory that transcends all of biology. Any observation of a living system must ultimately be interpreted in the context of its evolution. Because of the tremendous advances over the last half century, evolution has become a dis- cipline that is based on precise mathematical foundations. -
Henry Taube by J
Chemical Education Today Nobel Centennial Essays A Century of Chemical Dynamics Traced through the Nobel Prizes W 1983: Henry Taube by J. Van Houten Nobel Prize in Chemistry 1983 Photo by Rudy Baum Henry Taube (1915– ) for his work on the mechanisms of electron transfer Henry Taube, shown on reactions, especially in metal complexes the cover of C&E News. This is the eighth in a series of essays (1) written in com- Reprinted with permis- memoration of the centennial of the Nobel Prize, examin- sion from Chemical & ing the history of chemical dynamics in the 20th century.W Engineering News, May 21, 1984. © As his Nobel citation (2) states, Henry Taube studied elec- Copyright 1984 Ameri- tron transfer reactions of transition metal complexes. The can Chemical Society. Nobel Prize to Taube came exactly seventy years after it was awarded to Alfred Werner (3) for developing the structural chemistry of inorganic transition metal complexes. During the entire 20th century, Taube and Werner are the only in- to Werner’s. His early mechanistic studies relied heavily on organic transition metal chemists to win a Nobel Prize.1 In isotope tracer techniques developed by George de Hevesy, the fact, many of the complexes that Taube studied were first 1943 Nobel Laureate (1d). The second of the 100 references prepared or characterized by Werner. in Taube’s Nobel lecture (6) is to a 1920 paper where de Taube’s citation (2) concludes with the statement: “There Hevesy used naturally occurring lead isotopes to follow the is no doubt that Henry Taube is one of the most creative exchange reaction between Pb2+ and Pb4+ (7). -
Evolutionary Dynamics on Any Population Structure
Evolutionary dynamics on any population structure Benjamin Allen1,2,3, Gabor Lippner4, Yu-Ting Chen5, Babak Fotouhi1,6, Naghmeh Momeni1,7, Shing-Tung Yau3,8, and Martin A. Nowak1,8,9 1Program for Evolutionary Dynamics, Harvard University, Cambridge, MA, USA 2Department of Mathematics, Emmanuel College, Boston, MA, USA 3Center for Mathematical Sciences and Applications, Harvard University, Cambridge, MA, USA 4Department of Mathematics, Northeastern University, Boston, MA, USA 5Department of Mathematics, University of Tennessee, Knoxville, TN, USA 6Institute for Quantitative Social Sciences, Harvard University, Cambridge, MA, USA 7Department of Electrical and Computer Engineering, McGill University, Montreal, Canada 8Department of Mathematics, Harvard University, Cambridge, MA, USA 9Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA December 23, 2016 Abstract Evolution occurs in populations of reproducing individuals. The structure of a biological population affects which traits evolve [1, 2]. Understanding evolutionary game dynamics in structured populations is difficult. Precise results have been absent for a long time, but have recently emerged for special structures where all individuals have the arXiv:1605.06530v2 [q-bio.PE] 22 Dec 2016 same number of neighbors [3, 4, 5, 6, 7]. But the problem of deter- mining which trait is favored by selection in the natural case where the number of neighbors can vary, has remained open. For arbitrary selection intensity, the problem is in a computational complexity class which suggests there is no efficient algorithm [8]. Whether there exists a simple solution for weak selection was unanswered. Here we provide, surprisingly, a general formula for weak selection that applies to any graph or social network. -
Report for the Academic Year 1999
l'gEgasag^a3;•*a^oggMaBgaBK>ry^vg^.g^._--r^J3^JBgig^^gqt«a»J^:^^^^^ Institute /or ADVANCED STUDY REPORT FOR THE ACADEMIC YEAR 1998-99 PRINCETON • NEW JERSEY HISTORICAL STUDIES^SOCIAl SC^JCE LIBRARY INSTITUTE FOR ADVANCED STUDY PRINCETON, NEW JERSEY 08540 Institute /or ADVANCED STUDY REPORT FOR THE ACADEMIC YEAR 1 998 - 99 OLDEN LANE PRINCETON • NEW JERSEY • 08540-0631 609-734-8000 609-924-8399 (Fax) http://www.ias.edu Extract from the letter addressed by the Institute's Founders, Louis Bamberger and Mrs. FeUx Fuld, to the Board of Trustees, dated June 4, 1930. Newark, New Jersey. It is fundamental m our purpose, and our express desire, that in the appointments to the staff and faculty, as well as in the admission of workers and students, no account shall be taken, directly or indirectly, of race, religion, or sex. We feel strongly that the spirit characteristic of America at its noblest, above all the pursuit of higher learning, cannot admit of any conditions as to personnel other than those designed to promote the objects for which this institution is established, and particularly with no regard whatever to accidents of race, creed, or sex. ni' TABLE OF CONTENTS 4 • BACKGROUND AND PURPOSE 7 • FOUNDERS, TRUSTEES AND OFFICERS OF THE BOARD AND OF THE CORPORATION 10 • ADMINISTRATION 12 • PRESENT AND PAST DIRECTORS AND FACULTY 15 REPORT OF THE CHAIRMAN 18 • REPORT OF THE DIRECTOR 22 • OFFICE OF THE DIRECTOR - RECORD OF EVENTS 27 ACKNOWLEDGMENTS 41 • REPORT OF THE SCHOOL OF HISTORICAL STUDIES FACULTY ACADEMIC ACTIVITIES MEMBERS, VISITORS, -
Nobel Laureates Meet International Top Talents
Nobel Laureates Meet International Top Talents Evaluation Report of the Interdisciplinary Lindau Meeting of Nobel Laureates 2005 Council for the Lindau Nobel Laureate Meetings Foundation Lindau Nobelprizewinners Meetings at Lake Constance Nobel Laureates Meet International Top Talents Evaluation Report of the Interdisciplinary Lindau Meeting of Nobel Laureates 2005 Council for the Lindau Nobel Laureate Meetings Foundation Lindau Nobelprizewinners Meetings at Lake Constance I M PR I N T Published by: Council for the Lindau Nobel Laureate Meetings, Ludwigstr. 68, 88131 Lindau, Germany Foundation Lindau Nobelprizewinners Meetings at Lake Constance, Mainau Castle, 78465 Insel Mainau, Germany Idea and Realisation: Thomas Ellerbeck, Member of the Council for the Lindau Nobel Laureate Meetings and of the Board of Foundation Lindau Nobelprizewinners Meetings at Lake Constance, Alter Weg 100, 32760 Detmold, Germany Science&Media, Büro für Wissenschafts- und Technikkommunikation, Betastr. 9a, 85774 Unterföhring, Germany Texts: Professor Dr. Jürgen Uhlenbusch and Dr. Ulrich Stoll Layout and Production: Vasco Kintzel, Loitersdorf 20a, 85617 Assling, Germany Photos: Peter Badge/typos I, Wrangelstr. 8, 10997 Berlin, Germany Printed by: Druckerei Hermann Brägger, Bankgasse 8, 9001 St. Gallen, Switzerland 2 The Interdisciplinary Lindau Meeting of Nobel Laureates 2005 marked a decisive step for the annual Lindau Meeting in becoming a unique and significant international forum for excellence, fostering the vision of its Spiritus Rector, Count Lennart Bernadotte. It brought together, in the heart of Europe, the world’s current and prospective scientific leaders, the minds that shape the future drive for innovation. As a distinct learning experience, the Meeting stimulated personal dialogue on new discoveries, new methodologies and new issues, as well as on cutting-edge research matters. -
MANFRED EIGEN of the Reaction
M ANFRED E I G E N Immeasurably fast reactions* Nobel Lecture, December 11, 1967 1. "Prejudice and Pride" "The rate of true neutralization reactions has proved to be immeasurably fast". I found this quotation in Eucken’s Lehrbuch der Chemischen Physik I while I was preparing for my doctor’s examination. Although as a student of Eucken, this book was for me the "bible of physical chemistry", I was then at the age when one accepts practically nothing unquestioned, and so I started to reflect on just how fast an "immeasurably fast" reaction might be. Clearly, the two reagents - the H+ and OH- ions in the case of neutrali- zation - must come together before they can combine to form the reaction product: the H 2O molecule. The maximum rate will be determined by the frequency of such encounters or collisions, and this in turn will depend only on the diffusion rate and the mean separation of the reaction partners. This problem had already been analysed by Langevin 2, von Smoluchowski 3, Ein- stein 4, Onsager 5, and Debye 6, all of whom had derived expressions for the frequency of ionic collisions. It was fortunate that I was unable at that time to find in Göttingen Debye’s paper in which this problem is solved in general form, for this meant that I had to sit down and derive again for myself the expression for the rate constant of diffusion-controlled reactions. The result was a theory which also applies to the mechanism of reactions in which not every encounter is successful. -
Federation Member Society Nobel Laureates
FEDERATION MEMBER SOCIETY NOBEL LAUREATES For achievements in Chemistry, Physiology/Medicine, and PHysics. Award Winners announced annually in October. Awards presented on December 10th, the anniversary of Nobel’s death. (-H represents Honorary member, -R represents Retired member) # YEAR AWARD NAME AND SOCIETY DOB DECEASED 1 1904 PM Ivan Petrovich Pavlov (APS-H) 09/14/1849 02/27/1936 for work on the physiology of digestion, through which knowledge on vital aspects of the subject has been transformed and enlarged. 2 1912 PM Alexis Carrel (APS/ASIP) 06/28/1873 01/05/1944 for work on vascular suture and the transplantation of blood vessels and organs 3 1919 PM Jules Bordet (AAI-H) 06/13/1870 04/06/1961 for discoveries relating to immunity 4 1920 PM August Krogh (APS-H) 11/15/1874 09/13/1949 (Schack August Steenberger Krogh) for discovery of the capillary motor regulating mechanism 5 1922 PM A. V. Hill (APS-H) 09/26/1886 06/03/1977 Sir Archibald Vivial Hill for discovery relating to the production of heat in the muscle 6 1922 PM Otto Meyerhof (ASBMB) 04/12/1884 10/07/1951 (Otto Fritz Meyerhof) for discovery of the fixed relationship between the consumption of oxygen and the metabolism of lactic acid in the muscle 7 1923 PM Frederick Grant Banting (ASPET) 11/14/1891 02/21/1941 for the discovery of insulin 8 1923 PM John J.R. Macleod (APS) 09/08/1876 03/16/1935 (John James Richard Macleod) for the discovery of insulin 9 1926 C Theodor Svedberg (ASBMB-H) 08/30/1884 02/26/1971 for work on disperse systems 10 1930 PM Karl Landsteiner (ASIP/AAI) 06/14/1868 06/26/1943 for discovery of human blood groups 11 1931 PM Otto Heinrich Warburg (ASBMB-H) 10/08/1883 08/03/1970 for discovery of the nature and mode of action of the respiratory enzyme 12 1932 PM Lord Edgar D. -
Evolutionary Game Theory: a Renaissance
games Review Evolutionary Game Theory: A Renaissance Jonathan Newton ID Institute of Economic Research, Kyoto University, Kyoto 606-8501, Japan; [email protected] Received: 23 April 2018; Accepted: 15 May 2018; Published: 24 May 2018 Abstract: Economic agents are not always rational or farsighted and can make decisions according to simple behavioral rules that vary according to situation and can be studied using the tools of evolutionary game theory. Furthermore, such behavioral rules are themselves subject to evolutionary forces. Paying particular attention to the work of young researchers, this essay surveys the progress made over the last decade towards understanding these phenomena, and discusses open research topics of importance to economics and the broader social sciences. Keywords: evolution; game theory; dynamics; agency; assortativity; culture; distributed systems JEL Classification: C73 Table of contents 1 Introduction p. 2 Shadow of Nash Equilibrium Renaissance Structure of the Survey · · 2 Agency—Who Makes Decisions? p. 3 Methodology Implications Evolution of Collective Agency Links between Individual & · · · Collective Agency 3 Assortativity—With Whom Does Interaction Occur? p. 10 Assortativity & Preferences Evolution of Assortativity Generalized Matching Conditional · · · Dissociation Network Formation · 4 Evolution of Behavior p. 17 Traits Conventions—Culture in Society Culture in Individuals Culture in Individuals · · · & Society 5 Economic Applications p. 29 Macroeconomics, Market Selection & Finance Industrial Organization · 6 The Evolutionary Nash Program p. 30 Recontracting & Nash Demand Games TU Matching NTU Matching Bargaining Solutions & · · · Coordination Games 7 Behavioral Dynamics p. 36 Reinforcement Learning Imitation Best Experienced Payoff Dynamics Best & Better Response · · · Continuous Strategy Sets Completely Uncoupled · · 8 General Methodology p. 44 Perturbed Dynamics Further Stability Results Further Convergence Results Distributed · · · control Software and Simulations · 9 Empirics p.