Data from: Mutation rate dynamics in a bacterial population reflect tension between adaptation and genetic load

Mutations are the ultimate source of heritable variation for evolution. Understanding how mutation rates themselves evolve is thus essential for quantitatively understanding many evolutionary processes. According to theory, mutation rates should be minimized for well-adapted populations living in st...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Wielgoss, Sébastien, Barrick, Jeffrey E., Tenaillon, Olivier, Wiser, Michael J., Dittmar, W. James, Cruveiller, Stéphane, Chane-Woon-Ming, Béatrice, Médigue, Claudine, Lenski, Richard E., Schneider, Dominique
Format: Dataset
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator Wielgoss, Sébastien
Barrick, Jeffrey E.
Tenaillon, Olivier
Wiser, Michael J.
Dittmar, W. James
Cruveiller, Stéphane
Chane-Woon-Ming, Béatrice
Médigue, Claudine
Lenski, Richard E.
Schneider, Dominique
description Mutations are the ultimate source of heritable variation for evolution. Understanding how mutation rates themselves evolve is thus essential for quantitatively understanding many evolutionary processes. According to theory, mutation rates should be minimized for well-adapted populations living in stable environments, whereas hypermutators may evolve if conditions change. However, the long-term fate of hypermutators is unknown. Using a phylogenomic approach, we found that an adapting Escherichia coli population that first evolved a mutT hypermutator phenotype was later invaded by two independent lineages with mutY mutations that reduced genome-wide mutation rates. Applying neutral theory to synonymous substitutions, we dated the emergence of these mutations and inferred that the mutT mutation increased the point-mutation rate by ~150-fold, while the mutY mutations reduced the rate by ~40-60%, with a corresponding decrease in the genetic load. Thus, the long-term fate of the hypermutators was governed by the selective advantage arising from a reduced mutation rate as the potential for further adaptation declined.
doi_str_mv 10.5061/dryad.hb3b5
format Dataset
fullrecord <record><control><sourceid>datacite_PQ8</sourceid><recordid>TN_cdi_datacite_primary_10_5061_dryad_hb3b5</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>10_5061_dryad_hb3b5</sourcerecordid><originalsourceid>FETCH-datacite_primary_10_5061_dryad_hb3b53</originalsourceid><addsrcrecordid>eNqVzr8KwjAQx_EsDqJOvsDtYm0pdXD1Dy5u7uGSXGsgTUJ6Rfr2tqUv4HQcfPnxEWJf5FmVn4uTSQOa7KNKVa1FuCEj1Cm0F3j1jGyDh4RMYAaPrdUdWA8ICjVTsugghti7paPakWZg8t30K-Iv0ZgbjMsUegMNeWKrwQU0W7Gq0XW0W-5GHB739_V5NKNDWyYZk20xDbLI5cSVM1fO3PK_-ge_rFF4</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>dataset</recordtype></control><display><type>dataset</type><title>Data from: Mutation rate dynamics in a bacterial population reflect tension between adaptation and genetic load</title><source>DataCite</source><creator>Wielgoss, Sébastien ; Barrick, Jeffrey E. ; Tenaillon, Olivier ; Wiser, Michael J. ; Dittmar, W. James ; Cruveiller, Stéphane ; Chane-Woon-Ming, Béatrice ; Médigue, Claudine ; Lenski, Richard E. ; Schneider, Dominique</creator><creatorcontrib>Wielgoss, Sébastien ; Barrick, Jeffrey E. ; Tenaillon, Olivier ; Wiser, Michael J. ; Dittmar, W. James ; Cruveiller, Stéphane ; Chane-Woon-Ming, Béatrice ; Médigue, Claudine ; Lenski, Richard E. ; Schneider, Dominique</creatorcontrib><description>Mutations are the ultimate source of heritable variation for evolution. Understanding how mutation rates themselves evolve is thus essential for quantitatively understanding many evolutionary processes. According to theory, mutation rates should be minimized for well-adapted populations living in stable environments, whereas hypermutators may evolve if conditions change. However, the long-term fate of hypermutators is unknown. Using a phylogenomic approach, we found that an adapting Escherichia coli population that first evolved a mutT hypermutator phenotype was later invaded by two independent lineages with mutY mutations that reduced genome-wide mutation rates. Applying neutral theory to synonymous substitutions, we dated the emergence of these mutations and inferred that the mutT mutation increased the point-mutation rate by ~150-fold, while the mutY mutations reduced the rate by ~40-60%, with a corresponding decrease in the genetic load. Thus, the long-term fate of the hypermutators was governed by the selective advantage arising from a reduced mutation rate as the potential for further adaptation declined.</description><identifier>DOI: 10.5061/dryad.hb3b5</identifier><language>eng</language><publisher>Dryad</publisher><subject>hypermutators</subject><creationdate>2013</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>780,1894</link.rule.ids><linktorsrc>$$Uhttps://commons.datacite.org/doi.org/10.5061/dryad.hb3b5$$EView_record_in_DataCite.org$$FView_record_in_$$GDataCite.org$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Wielgoss, Sébastien</creatorcontrib><creatorcontrib>Barrick, Jeffrey E.</creatorcontrib><creatorcontrib>Tenaillon, Olivier</creatorcontrib><creatorcontrib>Wiser, Michael J.</creatorcontrib><creatorcontrib>Dittmar, W. James</creatorcontrib><creatorcontrib>Cruveiller, Stéphane</creatorcontrib><creatorcontrib>Chane-Woon-Ming, Béatrice</creatorcontrib><creatorcontrib>Médigue, Claudine</creatorcontrib><creatorcontrib>Lenski, Richard E.</creatorcontrib><creatorcontrib>Schneider, Dominique</creatorcontrib><title>Data from: Mutation rate dynamics in a bacterial population reflect tension between adaptation and genetic load</title><description>Mutations are the ultimate source of heritable variation for evolution. Understanding how mutation rates themselves evolve is thus essential for quantitatively understanding many evolutionary processes. According to theory, mutation rates should be minimized for well-adapted populations living in stable environments, whereas hypermutators may evolve if conditions change. However, the long-term fate of hypermutators is unknown. Using a phylogenomic approach, we found that an adapting Escherichia coli population that first evolved a mutT hypermutator phenotype was later invaded by two independent lineages with mutY mutations that reduced genome-wide mutation rates. Applying neutral theory to synonymous substitutions, we dated the emergence of these mutations and inferred that the mutT mutation increased the point-mutation rate by ~150-fold, while the mutY mutations reduced the rate by ~40-60%, with a corresponding decrease in the genetic load. Thus, the long-term fate of the hypermutators was governed by the selective advantage arising from a reduced mutation rate as the potential for further adaptation declined.</description><subject>hypermutators</subject><fulltext>true</fulltext><rsrctype>dataset</rsrctype><creationdate>2013</creationdate><recordtype>dataset</recordtype><sourceid>PQ8</sourceid><recordid>eNqVzr8KwjAQx_EsDqJOvsDtYm0pdXD1Dy5u7uGSXGsgTUJ6Rfr2tqUv4HQcfPnxEWJf5FmVn4uTSQOa7KNKVa1FuCEj1Cm0F3j1jGyDh4RMYAaPrdUdWA8ICjVTsugghti7paPakWZg8t30K-Iv0ZgbjMsUegMNeWKrwQU0W7Gq0XW0W-5GHB739_V5NKNDWyYZk20xDbLI5cSVM1fO3PK_-ge_rFF4</recordid><startdate>20130208</startdate><enddate>20130208</enddate><creator>Wielgoss, Sébastien</creator><creator>Barrick, Jeffrey E.</creator><creator>Tenaillon, Olivier</creator><creator>Wiser, Michael J.</creator><creator>Dittmar, W. James</creator><creator>Cruveiller, Stéphane</creator><creator>Chane-Woon-Ming, Béatrice</creator><creator>Médigue, Claudine</creator><creator>Lenski, Richard E.</creator><creator>Schneider, Dominique</creator><general>Dryad</general><scope>DYCCY</scope><scope>PQ8</scope></search><sort><creationdate>20130208</creationdate><title>Data from: Mutation rate dynamics in a bacterial population reflect tension between adaptation and genetic load</title><author>Wielgoss, Sébastien ; Barrick, Jeffrey E. ; Tenaillon, Olivier ; Wiser, Michael J. ; Dittmar, W. James ; Cruveiller, Stéphane ; Chane-Woon-Ming, Béatrice ; Médigue, Claudine ; Lenski, Richard E. ; Schneider, Dominique</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-datacite_primary_10_5061_dryad_hb3b53</frbrgroupid><rsrctype>datasets</rsrctype><prefilter>datasets</prefilter><language>eng</language><creationdate>2013</creationdate><topic>hypermutators</topic><toplevel>online_resources</toplevel><creatorcontrib>Wielgoss, Sébastien</creatorcontrib><creatorcontrib>Barrick, Jeffrey E.</creatorcontrib><creatorcontrib>Tenaillon, Olivier</creatorcontrib><creatorcontrib>Wiser, Michael J.</creatorcontrib><creatorcontrib>Dittmar, W. James</creatorcontrib><creatorcontrib>Cruveiller, Stéphane</creatorcontrib><creatorcontrib>Chane-Woon-Ming, Béatrice</creatorcontrib><creatorcontrib>Médigue, Claudine</creatorcontrib><creatorcontrib>Lenski, Richard E.</creatorcontrib><creatorcontrib>Schneider, Dominique</creatorcontrib><collection>DataCite (Open Access)</collection><collection>DataCite</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Wielgoss, Sébastien</au><au>Barrick, Jeffrey E.</au><au>Tenaillon, Olivier</au><au>Wiser, Michael J.</au><au>Dittmar, W. James</au><au>Cruveiller, Stéphane</au><au>Chane-Woon-Ming, Béatrice</au><au>Médigue, Claudine</au><au>Lenski, Richard E.</au><au>Schneider, Dominique</au><format>book</format><genre>unknown</genre><ristype>DATA</ristype><title>Data from: Mutation rate dynamics in a bacterial population reflect tension between adaptation and genetic load</title><date>2013-02-08</date><risdate>2013</risdate><abstract>Mutations are the ultimate source of heritable variation for evolution. Understanding how mutation rates themselves evolve is thus essential for quantitatively understanding many evolutionary processes. According to theory, mutation rates should be minimized for well-adapted populations living in stable environments, whereas hypermutators may evolve if conditions change. However, the long-term fate of hypermutators is unknown. Using a phylogenomic approach, we found that an adapting Escherichia coli population that first evolved a mutT hypermutator phenotype was later invaded by two independent lineages with mutY mutations that reduced genome-wide mutation rates. Applying neutral theory to synonymous substitutions, we dated the emergence of these mutations and inferred that the mutT mutation increased the point-mutation rate by ~150-fold, while the mutY mutations reduced the rate by ~40-60%, with a corresponding decrease in the genetic load. Thus, the long-term fate of the hypermutators was governed by the selective advantage arising from a reduced mutation rate as the potential for further adaptation declined.</abstract><pub>Dryad</pub><doi>10.5061/dryad.hb3b5</doi><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier DOI: 10.5061/dryad.hb3b5
ispartof
issn
language eng
recordid cdi_datacite_primary_10_5061_dryad_hb3b5
source DataCite
subjects hypermutators
title Data from: Mutation rate dynamics in a bacterial population reflect tension between adaptation and genetic load
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-01T13%3A44%3A46IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-datacite_PQ8&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=unknown&rft.au=Wielgoss,%20S%C3%A9bastien&rft.date=2013-02-08&rft_id=info:doi/10.5061/dryad.hb3b5&rft_dat=%3Cdatacite_PQ8%3E10_5061_dryad_hb3b5%3C/datacite_PQ8%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true