In silico simulations reveal that replicators with limited dispersal evolve towards higher efficiency and fidelity

The emergence of functional replicases, acting quickly and with high accuracy, was crucial to the origin of life. Although where the first RNA molecules came from is still unknown, it is nevertheless assumed that catalytic RNA enzymes (ribozymes) with replicase function emerged at some early stage o...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Nature (London) 2002-11, Vol.420 (6913), p.340-343
Hauptverfasser: Szathmáry, Eörs, Szabó, Péter, Scheuring, István, Czárán, Tamás
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 343
container_issue 6913
container_start_page 340
container_title Nature (London)
container_volume 420
creator Szathmáry, Eörs
Szabó, Péter
Scheuring, István
Czárán, Tamás
description The emergence of functional replicases, acting quickly and with high accuracy, was crucial to the origin of life. Although where the first RNA molecules came from is still unknown, it is nevertheless assumed that catalytic RNA enzymes (ribozymes) with replicase function emerged at some early stage of evolution. The fidelity of copying is especially important because the mutation load limits the length of replicating templates that can be maintained by natural selection. An increase in template length is disadvantageous for a fixed digit copying fidelity, however, longer molecules are expected to be better replicases. An iteration for longer molecules with better replicase function has been suggested and analysed mathematically. Here we show that more efficient replicases can spread, provided they are adsorbed to a prebiotic mineral surface. A cellular automaton simulation reveals that copying fidelity, replicase speed and template efficiency all increase with evolution, despite the presence of molecular parasites, essentially because of reciprocal atruism ('within-species mutualism') on the surface, thus making a gradual improvement of replicase function more plausible.
doi_str_mv 10.1038/nature01187
format Article
fullrecord <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_miscellaneous_27619630</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A187569306</galeid><sourcerecordid>A187569306</sourcerecordid><originalsourceid>FETCH-LOGICAL-c641t-9db4034f3ed139a2e31cebe13a8588da3629196a042e067b6b564bc3c301728c3</originalsourceid><addsrcrecordid>eNqF0s2LEzEUAPBBFLeunrxLXFAQnTWZZDKZYyl-FBYFXfE4ZDJv2iyZpJtkuva_N0uLbaUiOSS8_PJC8l6WPSf4kmAq3lsZRw-YEFE9yCaEVTxnXFQPswnGhcixoPwsexLCDca4JBV7nJ2RgrGKsXKS-blFQRutXJqG0cionQ3IwxqkQXEpY1qv0r6Mzgd0p-MSGT3oCB3qdFiBD8nB2pk1oOjupO8CWurFEjyCvtdKg1UbJG2Het2B0XHzNHvUSxPg2W4-z358_HA9-5xfff00n02vcsUZiXndtQxT1lPoCK1lAZQoaIFQKUohOkl5UZOaS8wKwLxqeVty1iqqKCZVIRQ9z15v8668ux0hxGbQQYEx0oIbQ1NUPJ2n-L-QiLKsCOUJXvwFb9zobXpEU2DGRM1rkVC-RQtpoNG2d9FLtQALXhpnodcpPE3FKnlN8UHSI69W-rY5RJcnUBodDKl2p7K-OTqQTIRfcSHHEJr592_H9u2_7fT65-zLSa28C8FD36y8HqTfNAQ39w3ZHDRk0i92Xza2A3R7u-vABF7tgAxKmt5Lq3TYO4YLVuD7Ir3bupC27AL8_u9P3_tyy7fBP_kOzW_lmgGS</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>204489698</pqid></control><display><type>article</type><title>In silico simulations reveal that replicators with limited dispersal evolve towards higher efficiency and fidelity</title><source>MEDLINE</source><source>Nature</source><source>SpringerLink Journals - AutoHoldings</source><creator>Szathmáry, Eörs ; Szabó, Péter ; Scheuring, István ; Czárán, Tamás</creator><creatorcontrib>Szathmáry, Eörs ; Szabó, Péter ; Scheuring, István ; Czárán, Tamás</creatorcontrib><description>The emergence of functional replicases, acting quickly and with high accuracy, was crucial to the origin of life. Although where the first RNA molecules came from is still unknown, it is nevertheless assumed that catalytic RNA enzymes (ribozymes) with replicase function emerged at some early stage of evolution. The fidelity of copying is especially important because the mutation load limits the length of replicating templates that can be maintained by natural selection. An increase in template length is disadvantageous for a fixed digit copying fidelity, however, longer molecules are expected to be better replicases. An iteration for longer molecules with better replicase function has been suggested and analysed mathematically. Here we show that more efficient replicases can spread, provided they are adsorbed to a prebiotic mineral surface. A cellular automaton simulation reveals that copying fidelity, replicase speed and template efficiency all increase with evolution, despite the presence of molecular parasites, essentially because of reciprocal atruism ('within-species mutualism') on the surface, thus making a gradual improvement of replicase function more plausible.</description><identifier>ISSN: 0028-0836</identifier><identifier>EISSN: 1476-4687</identifier><identifier>DOI: 10.1038/nature01187</identifier><identifier>PMID: 12447445</identifier><identifier>CODEN: NATUAS</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>Adsorption ; Binding Sites ; Biological Evolution ; Biologie moleculaire et cellulaire ; Biology ; Computer Simulation ; Diffusion ; DNA-Directed DNA Polymerase - metabolism ; Enzymes ; Evolution ; Evolution biologique ; Evolution, Molecular ; Genetique des eucaryotes. Evolution biologique et moleculaire ; Génétique moléculaire ; Humanities and Social Sciences ; Kinetics ; letter ; Models, Biological ; multidisciplinary ; Mutagenesis - genetics ; Mutation ; Mutualism ; Origin of Life ; Parasites ; Ribonucleic acid ; RNA ; RNA Replicase - metabolism ; RNA, Catalytic - metabolism ; Réplication ; Science ; Science (multidisciplinary) ; Sciences biologiques et medicales ; Sciences biologiques fondamentales et appliquees. Psychologie ; Selection, Genetic ; Templates, Genetic</subject><ispartof>Nature (London), 2002-11, Vol.420 (6913), p.340-343</ispartof><rights>Macmillan Magazines Ltd. 2002</rights><rights>2003 INIST-CNRS</rights><rights>COPYRIGHT 2002 Nature Publishing Group</rights><rights>Copyright Macmillan Journals Ltd. Nov 21, 2002</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c641t-9db4034f3ed139a2e31cebe13a8588da3629196a042e067b6b564bc3c301728c3</citedby><cites>FETCH-LOGICAL-c641t-9db4034f3ed139a2e31cebe13a8588da3629196a042e067b6b564bc3c301728c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1038/nature01187$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1038/nature01187$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,2725,27923,27924,41487,42556,51318</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=14024200$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/12447445$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Szathmáry, Eörs</creatorcontrib><creatorcontrib>Szabó, Péter</creatorcontrib><creatorcontrib>Scheuring, István</creatorcontrib><creatorcontrib>Czárán, Tamás</creatorcontrib><title>In silico simulations reveal that replicators with limited dispersal evolve towards higher efficiency and fidelity</title><title>Nature (London)</title><addtitle>Nature</addtitle><addtitle>Nature</addtitle><description>The emergence of functional replicases, acting quickly and with high accuracy, was crucial to the origin of life. Although where the first RNA molecules came from is still unknown, it is nevertheless assumed that catalytic RNA enzymes (ribozymes) with replicase function emerged at some early stage of evolution. The fidelity of copying is especially important because the mutation load limits the length of replicating templates that can be maintained by natural selection. An increase in template length is disadvantageous for a fixed digit copying fidelity, however, longer molecules are expected to be better replicases. An iteration for longer molecules with better replicase function has been suggested and analysed mathematically. Here we show that more efficient replicases can spread, provided they are adsorbed to a prebiotic mineral surface. A cellular automaton simulation reveals that copying fidelity, replicase speed and template efficiency all increase with evolution, despite the presence of molecular parasites, essentially because of reciprocal atruism ('within-species mutualism') on the surface, thus making a gradual improvement of replicase function more plausible.</description><subject>Adsorption</subject><subject>Binding Sites</subject><subject>Biological Evolution</subject><subject>Biologie moleculaire et cellulaire</subject><subject>Biology</subject><subject>Computer Simulation</subject><subject>Diffusion</subject><subject>DNA-Directed DNA Polymerase - metabolism</subject><subject>Enzymes</subject><subject>Evolution</subject><subject>Evolution biologique</subject><subject>Evolution, Molecular</subject><subject>Genetique des eucaryotes. Evolution biologique et moleculaire</subject><subject>Génétique moléculaire</subject><subject>Humanities and Social Sciences</subject><subject>Kinetics</subject><subject>letter</subject><subject>Models, Biological</subject><subject>multidisciplinary</subject><subject>Mutagenesis - genetics</subject><subject>Mutation</subject><subject>Mutualism</subject><subject>Origin of Life</subject><subject>Parasites</subject><subject>Ribonucleic acid</subject><subject>RNA</subject><subject>RNA Replicase - metabolism</subject><subject>RNA, Catalytic - metabolism</subject><subject>Réplication</subject><subject>Science</subject><subject>Science (multidisciplinary)</subject><subject>Sciences biologiques et medicales</subject><subject>Sciences biologiques fondamentales et appliquees. Psychologie</subject><subject>Selection, Genetic</subject><subject>Templates, Genetic</subject><issn>0028-0836</issn><issn>1476-4687</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2002</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqF0s2LEzEUAPBBFLeunrxLXFAQnTWZZDKZYyl-FBYFXfE4ZDJv2iyZpJtkuva_N0uLbaUiOSS8_PJC8l6WPSf4kmAq3lsZRw-YEFE9yCaEVTxnXFQPswnGhcixoPwsexLCDca4JBV7nJ2RgrGKsXKS-blFQRutXJqG0cionQ3IwxqkQXEpY1qv0r6Mzgd0p-MSGT3oCB3qdFiBD8nB2pk1oOjupO8CWurFEjyCvtdKg1UbJG2Het2B0XHzNHvUSxPg2W4-z358_HA9-5xfff00n02vcsUZiXndtQxT1lPoCK1lAZQoaIFQKUohOkl5UZOaS8wKwLxqeVty1iqqKCZVIRQ9z15v8668ux0hxGbQQYEx0oIbQ1NUPJ2n-L-QiLKsCOUJXvwFb9zobXpEU2DGRM1rkVC-RQtpoNG2d9FLtQALXhpnodcpPE3FKnlN8UHSI69W-rY5RJcnUBodDKl2p7K-OTqQTIRfcSHHEJr592_H9u2_7fT65-zLSa28C8FD36y8HqTfNAQ39w3ZHDRk0i92Xza2A3R7u-vABF7tgAxKmt5Lq3TYO4YLVuD7Ir3bupC27AL8_u9P3_tyy7fBP_kOzW_lmgGS</recordid><startdate>20021121</startdate><enddate>20021121</enddate><creator>Szathmáry, Eörs</creator><creator>Szabó, Péter</creator><creator>Scheuring, István</creator><creator>Czárán, Tamás</creator><general>Nature Publishing Group UK</general><general>Nature Publishing</general><general>Nature Publishing Group</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>ATWCN</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QP</scope><scope>7QR</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7ST</scope><scope>7T5</scope><scope>7TG</scope><scope>7TK</scope><scope>7TM</scope><scope>7TO</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>88G</scope><scope>88I</scope><scope>8AF</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M2O</scope><scope>M2P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PDBOC</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PSYQQ</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>R05</scope><scope>RC3</scope><scope>S0X</scope><scope>SOI</scope><scope>H8D</scope><scope>L7M</scope></search><sort><creationdate>20021121</creationdate><title>In silico simulations reveal that replicators with limited dispersal evolve towards higher efficiency and fidelity</title><author>Szathmáry, Eörs ; Szabó, Péter ; Scheuring, István ; Czárán, Tamás</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c641t-9db4034f3ed139a2e31cebe13a8588da3629196a042e067b6b564bc3c301728c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2002</creationdate><topic>Adsorption</topic><topic>Binding Sites</topic><topic>Biological Evolution</topic><topic>Biologie moleculaire et cellulaire</topic><topic>Biology</topic><topic>Computer Simulation</topic><topic>Diffusion</topic><topic>DNA-Directed DNA Polymerase - metabolism</topic><topic>Enzymes</topic><topic>Evolution</topic><topic>Evolution biologique</topic><topic>Evolution, Molecular</topic><topic>Genetique des eucaryotes. Evolution biologique et moleculaire</topic><topic>Génétique moléculaire</topic><topic>Humanities and Social Sciences</topic><topic>Kinetics</topic><topic>letter</topic><topic>Models, Biological</topic><topic>multidisciplinary</topic><topic>Mutagenesis - genetics</topic><topic>Mutation</topic><topic>Mutualism</topic><topic>Origin of Life</topic><topic>Parasites</topic><topic>Ribonucleic acid</topic><topic>RNA</topic><topic>RNA Replicase - metabolism</topic><topic>RNA, Catalytic - metabolism</topic><topic>Réplication</topic><topic>Science</topic><topic>Science (multidisciplinary)</topic><topic>Sciences biologiques et medicales</topic><topic>Sciences biologiques fondamentales et appliquees. Psychologie</topic><topic>Selection, Genetic</topic><topic>Templates, Genetic</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Szathmáry, Eörs</creatorcontrib><creatorcontrib>Szabó, Péter</creatorcontrib><creatorcontrib>Scheuring, István</creatorcontrib><creatorcontrib>Czárán, Tamás</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Middle School</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Calcium &amp; Calcified Tissue Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Nursing &amp; Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Environment Abstracts</collection><collection>Immunology Abstracts</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>eLibrary</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric &amp; Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database</collection><collection>Research Library</collection><collection>Science Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric &amp; Aquatic Science Database</collection><collection>Materials Science Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest One Psychology</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>University of Michigan</collection><collection>Genetics Abstracts</collection><collection>SIRS Editorial</collection><collection>Environment Abstracts</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Nature (London)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Szathmáry, Eörs</au><au>Szabó, Péter</au><au>Scheuring, István</au><au>Czárán, Tamás</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>In silico simulations reveal that replicators with limited dispersal evolve towards higher efficiency and fidelity</atitle><jtitle>Nature (London)</jtitle><stitle>Nature</stitle><addtitle>Nature</addtitle><date>2002-11-21</date><risdate>2002</risdate><volume>420</volume><issue>6913</issue><spage>340</spage><epage>343</epage><pages>340-343</pages><issn>0028-0836</issn><eissn>1476-4687</eissn><coden>NATUAS</coden><abstract>The emergence of functional replicases, acting quickly and with high accuracy, was crucial to the origin of life. Although where the first RNA molecules came from is still unknown, it is nevertheless assumed that catalytic RNA enzymes (ribozymes) with replicase function emerged at some early stage of evolution. The fidelity of copying is especially important because the mutation load limits the length of replicating templates that can be maintained by natural selection. An increase in template length is disadvantageous for a fixed digit copying fidelity, however, longer molecules are expected to be better replicases. An iteration for longer molecules with better replicase function has been suggested and analysed mathematically. Here we show that more efficient replicases can spread, provided they are adsorbed to a prebiotic mineral surface. A cellular automaton simulation reveals that copying fidelity, replicase speed and template efficiency all increase with evolution, despite the presence of molecular parasites, essentially because of reciprocal atruism ('within-species mutualism') on the surface, thus making a gradual improvement of replicase function more plausible.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>12447445</pmid><doi>10.1038/nature01187</doi><tpages>4</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0028-0836
ispartof Nature (London), 2002-11, Vol.420 (6913), p.340-343
issn 0028-0836
1476-4687
language eng
recordid cdi_proquest_miscellaneous_27619630
source MEDLINE; Nature; SpringerLink Journals - AutoHoldings
subjects Adsorption
Binding Sites
Biological Evolution
Biologie moleculaire et cellulaire
Biology
Computer Simulation
Diffusion
DNA-Directed DNA Polymerase - metabolism
Enzymes
Evolution
Evolution biologique
Evolution, Molecular
Genetique des eucaryotes. Evolution biologique et moleculaire
Génétique moléculaire
Humanities and Social Sciences
Kinetics
letter
Models, Biological
multidisciplinary
Mutagenesis - genetics
Mutation
Mutualism
Origin of Life
Parasites
Ribonucleic acid
RNA
RNA Replicase - metabolism
RNA, Catalytic - metabolism
Réplication
Science
Science (multidisciplinary)
Sciences biologiques et medicales
Sciences biologiques fondamentales et appliquees. Psychologie
Selection, Genetic
Templates, Genetic
title In silico simulations reveal that replicators with limited dispersal evolve towards higher efficiency and fidelity
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-12T22%3A35%3A04IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=In%20silico%20simulations%20reveal%20that%20replicators%20with%20limited%20dispersal%20evolve%20towards%20higher%20efficiency%20and%20fidelity&rft.jtitle=Nature%20(London)&rft.au=Szathm%C3%A1ry,%20E%C3%B6rs&rft.date=2002-11-21&rft.volume=420&rft.issue=6913&rft.spage=340&rft.epage=343&rft.pages=340-343&rft.issn=0028-0836&rft.eissn=1476-4687&rft.coden=NATUAS&rft_id=info:doi/10.1038/nature01187&rft_dat=%3Cgale_proqu%3EA187569306%3C/gale_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=204489698&rft_id=info:pmid/12447445&rft_galeid=A187569306&rfr_iscdi=true