Investigating Prebiotic Protocells for a Comprehensive Understanding of the Origins of Life: a Prebiotic Systems Chemistry Perspective †
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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. -
Experimental Evolution
Heredity (2008) 100, 441–442 & 2008 Nature Publishing Group All rights reserved 0018-067X/08 $30.00 www.nature.com/hdy EDITORIAL Experimental evolution Heredity (2008) 100, 441–442; doi:10.1038/hdy.2008.19 and their interactions, it should be possible to predict which genes will be altered, how they will be altered and in what order, in any defined environment. Our under- Microcosms are used in ecology and evolution to shrink standing of cell biology is as yet wholly inadequate for space and time to manageable scales. They have never the task, but the smaller genomes of viruses might be been extensively used in ecology, because many ecolo- more accessible. Bull and Molineux describe the most gists doubt that any important features of large complex ambitious attempts to date in pursuit of this grail, using systems, such as lakes, can be profitably investigated in phage T7 of E. coli. Given the detailed knowledge of T7 small chambers or vials (Carpenter, 1996). Consequently, genetics, it should be possible to introduce a specific ecology lacks any generally accepted model system genetic lesion and then predict what compensatory to facilitate the cumulative growth of understanding of mutations will be fixed so as to restore the lost function. how communities work. Evolutionary biologists have In many cases, these mutations were correctly identified been less skeptical, and at least three major schools and for very simple genomes, at least, a nearly complete have adopted microcosm methods. Perhaps the best understanding of adaptation seems to be within grasp. known is the extensive exploration of the effects of artificial selection in Drosophila (and to a lesser extent in At the same time, both Ferenci and Bull and Molineux other organisms, such as mice). -
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. -
Long-Term Experimental Evolution in Escherichia Coli. V. Effects of Recombination with Immigrant Genotypes on the Rate of Bacterial Evolution
© Birkhliuser Verlag, Basel, 1997 J. evol. bioi. 10 (1997) 743-769 1010-061X/97/050743-27 $ 1.50 + 0.20/0 I Journal of Evolutionary Biology Long-term experimental evolution in Escherichia coli. V. Effects of recombination with immigrant genotypes on the rate of bacterial evolution 1 2 3 V. Souza, P. E. Turner • and R. E. LenskF·* 1Centro de Ecologia, Universidad Nacional Aut6noma de Mexico, Coyoacim, Ciudad de Mexico, 04510, Mexico 2 Center for Microbial Ecology, Michigan State University, East Lansing MI 48824, USA 3 Current address: Department of Zoology, University of Maryland, College Park MD 20742, USA Key words: Complex selection; conjugation; Escherichia coli; experimental evolu tion; hitchhiking; migration; plasmids; recombination. Abstract This study builds upon an earlier experiment that examined the dynamics of mean fitness in evolving populations of Escherichia coli in which mutations were the sole source of genetic variation. During thousands of generations in a constant environment, the rate of improvement in mean fitness of these asexual populations slowed considerably from an initially rapid pace. In this study, we sought to determine whether sexual recombination with novel genotypes would reaccelerate the rate of adaption in these populations. To that end, treatment populations were propagated for an additional 1000 generations in the same environment as their ancestors, but they were periodically allowed to mate with an immigrant pool of genetically distinct Hfr (high frequency recombination) donors. These donors could transfer genes to the resident populations by conjugation, but the donors them selves could not grow in the experimental environment. Control populations were propagated under identical conditions, but in the absence of sexual recombination with the donors. -
Selection Experiments and Experimental Evolution of Performance and Physiology
Garland_ch12.qxd 8/3/09 2:03 PM Page 301 12 SELECTION EXPERIMENTS AND EXPERIMENTAL EVOLUTION OF PERFORMANCE AND PHYSIOLOGY John G. Swallow, Jack P. Hayes, Pawel Koteja, and Theodore Garland, Jr. THE IMPORTANCE OF REPLICATION Selection on VO2max and the Correlation between BMR and VO2max EXPERIMENTAL EVOLUTION OF MICE IN DIFFERENT THERMAL ENVIRONMENTS SEXUAL SELECTION: EFFECTS OF ORNAMENTS ON PERFORMANCE WIND TUNNEL FLIGHT IN DROSOPHILA Guppies ENDURANCE RUNNING AND STRESS-INDUCED ANALGESIA IN MICE Stalk-Eyed Flies ENDURANCE RUNNING IN RATS AND VOLUNTARY WHEEL “EXPERIMENTS” WITHOUT PRECISELY DEFINED SELECTION RUNNING IN MICE CRITERIA EVOLUTION OF THE RATE OF ENERGY METABOLISM Horse Racing IN RODENTS Greyhound Racing Selection on Basal Metabolic Rate PHYSIOLOGICAL DIFFERENCES AMONG STRAINS Selection on Heat Loss OF MICE AND BREEDS OF DOG Rate of Metabolism as a Hypothetical CONCLUSION Correlated Response Experimental Evolution: Concepts, Methods, and Applications of Selection Experiments, edited by Theodore Garland, Jr., and Michael R. Rose. Copyright © by the Regents of the University of California. All rights of reproduction in any form reserved. 301 Garland_ch12.qxd 8/3/09 2:03 PM Page 302 Since a seminal paper by Arnold (1983), direct measurement of whole-organism perfor- mance has become central to functional evolutionary biology (e.g., Arnold 2003; Ghalambor et al. 2003; Kingsolver and Huey 2003). In this context, “performance” can be most easily defined by example. Assuming that individuals can be fully motivated (e.g., see Swallow et al. 1998a; Harris and Steudel 2002; Losos et al. 2002; Tobalske et al. 2004), it is relatively easy to measure maximal sprint running speed of small mammals and lizards on photocell-timed racetracks or high-speed treadmills (e.g., Calsbeek and Irschick 2007; Chappell et al. -
Darwinian Evolution in a Translation-Coupled RNA Replication System Within a Cell-Like Compartment
ARTICLE Received 28 Mar 2013 | Accepted 22 Aug 2013 | Published 3 Oct 2013 DOI: 10.1038/ncomms3494 Darwinian evolution in a translation-coupled RNA replication system within a cell-like compartment Norikazu Ichihashi1,2, Kimihito Usui1, Yasuaki Kazuta1, Takeshi Sunami1,2, Tomoaki Matsuura1,2,3 & Tetsuya Yomo1,2,4 The ability to evolve is a key characteristic that distinguishes living things from non-living chemical compounds. The construction of an evolvable cell-like system entirely from non-living molecules has been a major challenge. Here we construct an evolvable artificial cell model from an assembly of biochemical molecules. The artificial cell model contains artificial genomic RNA that replicates through the translation of its encoded RNA replicase. We perform a long-term (600-generation) replication experiment using this system, in which mutations are spontaneously introduced into the RNA by replication error, and highly replicable mutants dominate the population according to Darwinian principles. During evolution, the genomic RNA gradually reinforces its interaction with the translated replicase, thereby acquiring competitiveness against selfish (parasitic) RNAs. This study provides the first experimental evidence that replicating systems can be developed through Darwinian evolution in a cell-like compartment, even in the presence of parasitic replicators. 1 Exploratory Research for Advanced Technology, Japan Science and Technology Agency, Osaka University, Suita, Osaka 565-0871, Japan. 2 Graduate School of Information Science and Technology, Osaka University, Suita, Osaka 565-0871, Japan. 3 Graduate School of Engineering, Osaka University, Suita, Osaka 565-0871, Japan. 4 Graduate School of Frontier Biosciences, Osaka University, Suita, Osaka 565-0871, Japan. Correspondence and requests for materials should be addressed to T.Y. -
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. -
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. -
Micelles As Containers for Protocells
Beitr¨age des Instituts f¨urUmweltsystemforschung der Universit¨atOsnabr¨uck Herausgeber: Prof. Dr. Michael Matthies Beitrag Nr. 33 Micelles as Containers for Protocells Harold Fellermann Dezember 2005 ISSN-Nr. 1433-3805 Beitr¨age des Instituts f¨urUmweltsystemforschung der Universit¨atOsnabr¨uck ISSN 1433-3805 Herausgeber Prof. Dr. Michael Matthies Universit¨at Osnabr¨uck Institut f¨urUmweltsystemforschung Artilleriestr. 34 D-49069 Osnabr¨uck Tel. 0541/969-2575 Fax. 0541/969-2599 E-Mail: [email protected] http://www.usf.uni-osnabrueck.de c USF – Institut f¨urUmweltsystemforschung, Universit¨atOsnabr¨uck Abstract We extended the mesoscopic simulation method Dissipative Particle Dynamics to incorporate chemical reactions on the basis of rate equations. With the extended model, we analyzed micellar systems in the context of early life and artificial proto- cells. We studied whether micelles have the potential to serve as embodiments for protocells, i. e. whether they are able to grow in size and divide into two daughter cells. It was found that the ability of micelles to grow depends on the pathway new surfactants are provided: micelles grow only if new surfactants are provided faster than the monomers dissociate from the assembly. We compared the growth scenario of two distinct scenarios that envision micelles as protocells: the origin of life theory “Lipid World” and the currently explored artificial protocell “Los Alamos bug”. We found that relaxation in micellar kinetics is likely to jeopardize the pathway proposed by the Lipid World theory, but not the “Los Alamos bug”. We finally developed a toy model that delineates the whole life-cycle of the “Los Alamos bug”. -
Experimental Evolution in Vivo to Identify Selective Pressures During Pneumococcal Colonization
bioRxiv preprint doi: https://doi.org/10.1101/2020.01.15.908590; this version posted January 16, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Experimental Evolution in vivo to Identify Selective Pressures During Pneumococcal Colonization Vaughn S. Cooper1, Erin Honsa2,3, Hannah Rowe2, Christopher Deitrick1, Amy R. Iverson2, Jonathan J. Whittall4, Stephanie L. Neville5, Christopher A. McDevitt5 Colin Kietzman2,6, Jason W. Rosch2* 1 Department of Microbiology and Molecular Genetics, and Center for Evolutionary Biology and Medicine, University of Pittsburgh School of Medicine 2 St Jude Children’s Research Hospital, Department of Infectious Diseases 3 Current affiliation: A.T. Still University, School of Osteopathic Medicine in Arizona, 5850 E. Still Circle, Mesa, AZ, 85206 4 Department of Molecular and Biomedical Science, School of Biological Sciences, University of Adelaide, Adelaide, South Australia, Australia 5 Department of Microbiology and Immunology, The Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Melbourne, Victoria, Australia 6 Current affiliation: St Jude Children’s Research Hospital, Department of Developmental Neurobiology *Corresponding Author Jason Rosch, PhD. Department of Infectious Diseases St Jude Children’s Research Hospital 262 Danny Thomas Place Memphis, TN 38105 901-595-3408 [email protected] 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.01.15.908590; this version posted January 16, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Abstract (224 words) Experimental evolution is a powerful technique to understand how populations evolve from selective pressures imparted by the surrounding environment. -
Experimental Evolution Heals the Scars of Genome-Scale Recoding COMMENTARY Olivier Tenaillona,1
COMMENTARY Experimental evolution heals the scars of genome-scale recoding COMMENTARY Olivier Tenaillona,1 Much of the dramatic plot of Mary Shelley’s Frankenstein uncharged tRNA is subsequently released and the ri- resulted from the apparent scars and imperfections of bosome moves forward to expose the next codon. the creature her hero brought to life. Similarly, organisms Incorporating a nsAA therefore requires a combina- highly modified by synthetic biologists suffer from scars tion of codon, tRNA, and aaRS that act specifically and and imperfect functioning that their creators had not exclusively among themselves and the nsAA. Al- intended. However, as presented in PNAS by Wannier though every step is challenging, the use of tRNA- et al. (1), synthetic biologists can use experimental evo- aaRS from a diverged organism and the use of positive lution to rapidly heal some of these scars, as they have and negative selections to improve specificity and performed on a highly recoded Escherichia coli strain exclude interactions with other tRNA, aaRS, or amino modified to incorporate efficiently nonstandard amino acids has been quite successful (4). As a result, the acids (nsAA). machinery for the introduction of the nsAA can be One of the aims of synthetic biology is to expand carried on plasmids and easily introduced in new the range of functions natural organisms can perform. genotypes. While chemists have created myriads of new mole- Reserving exclusively a codon for the nsAA is yet cules over the last centuries, their ability to create another challenge, as it requires multiple modifica- complex molecules is surpassed by the biochemistry tions of the genome. -
PROSPECTS of a COMPUTATIONAL ORIGIN of LIFE ENDEAVOR 1. Introduction for Half a Century, Since the Breakthrough Work on Prebioti
PROSPECTS OF A COMPUTATIONAL ORIGIN OF LIFE ENDEAVOR BARAK SHENHAV and DORON LANCET* Department of Molecular Genetics and the Crown Human Genome Center, the Weizmann Institute of Science, Rehovot 76100, Israel (* author for correspondence, e-mail: [email protected], phone: 972 8 9343683 or 972 8 9344121, fax: 972 8 9344487) (Received 22 January 2003; accepted in revised form 1 April 2003) Abstract. While the last century brought an exquisite understanding of the molecular basis of life, very little is known about the detailed chemical mechanisms that afforded the emergence of life on early earth. There is a broad agreement that the problem lies in the realm of chemistry, and likely resides in the formation and mutual interactions of carbon-based molecules in aqueous medium. Yet, present-day experimental approaches can only capture the synthesis and behavior of a few molecule types at a time. On the other hand, experimental simulations of prebiotic syntheses, as well as chemical analyses of carbonaceous meteorites, suggest that the early prebiotic hydrosphere contained many thousands of different compounds. The present paper explores the idea that given the limitations of test-tube approaches with regards to such a ‘random chemistry’ scenario, an alternative mode of analysis should be pursued. It is argued that as computational tools for the reconstruction of molecular interactions improve rapidly, it may soon become possible to perform adequate computer- based simulations of prebiotic evolution. We thus propose to launch a computational origin of life endeavor (http://ool.weizmann.ac.il/CORE), involving computer simulations of realistic complex prebiotic chemical networks.