Prediction of Cross-resistance and Collateral Sensitivity by Gene Expression profiles and Genomic Mutations
In adaptive evolution, an increase in fitness to an environment is frequently accompanied by changes in fitness to other environmental conditions, called cross-resistance and sensitivity. Although the networks between fitness changes affect the course of evolution substantially, the mechanisms under...
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creator | Horinouchi, Takaaki Suzuki, Shingo Kotani, Hazuki Tanabe, Kumi Sakata, Natsue Shimizu, Hiroshi Furusawa, Chikara |
description | In adaptive evolution, an increase in fitness to an environment is frequently accompanied by changes in fitness to other environmental conditions, called cross-resistance and sensitivity. Although the networks between fitness changes affect the course of evolution substantially, the mechanisms underlying such fitness changes are yet to be fully elucidated. Herein, we performed high-throughput laboratory evolution of
Escherichia coli
under various stress conditions using an automated culture system, and quantified how the acquisition of resistance to one stressor alters the resistance to other stressors. We demonstrated that resistance changes could be quantitatively predicted based on changes in the transcriptome of the resistant strains. We also identified several genes and gene functions, for which mutations were commonly fixed in the strains resistant to the same stress, which could partially explain the observed cross-resistance and collateral sensitivity. The integration of transcriptome and genome data enabled us to clarify the bacterial stress resistance mechanisms. |
doi_str_mv | 10.1038/s41598-017-14335-7 |
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Escherichia coli
under various stress conditions using an automated culture system, and quantified how the acquisition of resistance to one stressor alters the resistance to other stressors. We demonstrated that resistance changes could be quantitatively predicted based on changes in the transcriptome of the resistant strains. We also identified several genes and gene functions, for which mutations were commonly fixed in the strains resistant to the same stress, which could partially explain the observed cross-resistance and collateral sensitivity. The integration of transcriptome and genome data enabled us to clarify the bacterial stress resistance mechanisms.</description><identifier>ISSN: 2045-2322</identifier><identifier>EISSN: 2045-2322</identifier><identifier>DOI: 10.1038/s41598-017-14335-7</identifier><identifier>PMID: 29070832</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>38/23 ; 38/56 ; 38/61 ; 631/181/2475 ; 631/553/2716 ; Cross-resistance ; E coli ; Environmental conditions ; Escherichia coli - genetics ; Escherichia coli - growth & development ; Escherichia coli - metabolism ; Escherichia coli Proteins - genetics ; Escherichia coli Proteins - metabolism ; Evolution ; Evolution & development ; Evolution, Molecular ; Gene expression ; Gene Expression Profiling ; Genome, Bacterial ; Genomes ; Genomics - methods ; Humanities and Social Sciences ; multidisciplinary ; Mutation ; Phenotype ; Reproductive fitness ; Science ; Science (multidisciplinary) ; Strains (organisms) ; Stress, Physiological ; Transcriptome</subject><ispartof>Scientific reports, 2017-10, Vol.7 (1), p.14009-11, Article 14009</ispartof><rights>The Author(s) 2017</rights><rights>2017. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c540t-9ef9b53d3ac031d54a7ae8f646bbaa74c526c32e065aeb3ceb1fdc53637147ec3</citedby><cites>FETCH-LOGICAL-c540t-9ef9b53d3ac031d54a7ae8f646bbaa74c526c32e065aeb3ceb1fdc53637147ec3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5656584/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5656584/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,728,781,785,865,886,27929,27930,41125,42194,51581,53796,53798</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29070832$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Horinouchi, Takaaki</creatorcontrib><creatorcontrib>Suzuki, Shingo</creatorcontrib><creatorcontrib>Kotani, Hazuki</creatorcontrib><creatorcontrib>Tanabe, Kumi</creatorcontrib><creatorcontrib>Sakata, Natsue</creatorcontrib><creatorcontrib>Shimizu, Hiroshi</creatorcontrib><creatorcontrib>Furusawa, Chikara</creatorcontrib><title>Prediction of Cross-resistance and Collateral Sensitivity by Gene Expression profiles and Genomic Mutations</title><title>Scientific reports</title><addtitle>Sci Rep</addtitle><addtitle>Sci Rep</addtitle><description>In adaptive evolution, an increase in fitness to an environment is frequently accompanied by changes in fitness to other environmental conditions, called cross-resistance and sensitivity. Although the networks between fitness changes affect the course of evolution substantially, the mechanisms underlying such fitness changes are yet to be fully elucidated. Herein, we performed high-throughput laboratory evolution of
Escherichia coli
under various stress conditions using an automated culture system, and quantified how the acquisition of resistance to one stressor alters the resistance to other stressors. We demonstrated that resistance changes could be quantitatively predicted based on changes in the transcriptome of the resistant strains. We also identified several genes and gene functions, for which mutations were commonly fixed in the strains resistant to the same stress, which could partially explain the observed cross-resistance and collateral sensitivity. 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Scientific reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Horinouchi, Takaaki</au><au>Suzuki, Shingo</au><au>Kotani, Hazuki</au><au>Tanabe, Kumi</au><au>Sakata, Natsue</au><au>Shimizu, Hiroshi</au><au>Furusawa, Chikara</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prediction of Cross-resistance and Collateral Sensitivity by Gene Expression profiles and Genomic Mutations</atitle><jtitle>Scientific reports</jtitle><stitle>Sci Rep</stitle><addtitle>Sci Rep</addtitle><date>2017-10-25</date><risdate>2017</risdate><volume>7</volume><issue>1</issue><spage>14009</spage><epage>11</epage><pages>14009-11</pages><artnum>14009</artnum><issn>2045-2322</issn><eissn>2045-2322</eissn><abstract>In adaptive evolution, an increase in fitness to an environment is frequently accompanied by changes in fitness to other environmental conditions, called cross-resistance and sensitivity. Although the networks between fitness changes affect the course of evolution substantially, the mechanisms underlying such fitness changes are yet to be fully elucidated. Herein, we performed high-throughput laboratory evolution of
Escherichia coli
under various stress conditions using an automated culture system, and quantified how the acquisition of resistance to one stressor alters the resistance to other stressors. We demonstrated that resistance changes could be quantitatively predicted based on changes in the transcriptome of the resistant strains. We also identified several genes and gene functions, for which mutations were commonly fixed in the strains resistant to the same stress, which could partially explain the observed cross-resistance and collateral sensitivity. The integration of transcriptome and genome data enabled us to clarify the bacterial stress resistance mechanisms.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>29070832</pmid><doi>10.1038/s41598-017-14335-7</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
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subjects | 38/23 38/56 38/61 631/181/2475 631/553/2716 Cross-resistance E coli Environmental conditions Escherichia coli - genetics Escherichia coli - growth & development Escherichia coli - metabolism Escherichia coli Proteins - genetics Escherichia coli Proteins - metabolism Evolution Evolution & development Evolution, Molecular Gene expression Gene Expression Profiling Genome, Bacterial Genomes Genomics - methods Humanities and Social Sciences multidisciplinary Mutation Phenotype Reproductive fitness Science Science (multidisciplinary) Strains (organisms) Stress, Physiological Transcriptome |
title | Prediction of Cross-resistance and Collateral Sensitivity by Gene Expression profiles and Genomic Mutations |
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