Transcriptome Remodeling of Acinetobacter baumannii during Infection and Treatment
is an increasingly common multidrug-resistant pathogen in health care settings. Although the genetic basis of antibiotic resistance mechanisms has been extensively studied, much less is known about how genetic variation contributes to other aspects of successful infections. Genetic changes that occu...
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description | is an increasingly common multidrug-resistant pathogen in health care settings. Although the genetic basis of antibiotic resistance mechanisms has been extensively studied, much less is known about how genetic variation contributes to other aspects of successful infections. Genetic changes that occur during host infection and treatment have the potential to remodel gene expression patterns related to resistance and pathogenesis. Longitudinal sets of multidrug-resistant
isolates from eight patients were analyzed by RNA sequencing (RNA-seq) to identify differentially expressed genes and link them to genetic changes contributing to transcriptional variation at both within-patient and population levels. The number of differentially expressed genes among isolates from the same patient ranged from 26 (patient 588) to 145 (patient 475). Multiple patients had isolates with differential gene expression patterns related to mutations in the
and
two-component regulatory system genes, as well as significant differences in genes related to antibiotic resistance, iron acquisition, amino acid metabolism, and surface-associated proteins. Population level analysis revealed 39 genetic regions with clade-specific differentially expressed genes, for which 19, 8, and 3 of these could be explained by insertion sequence mobilization, recombination-driven sequence variation, and intergenic mutations, respectively. Multiple types of mutations that arise during infection can significantly remodel the expression of genes that are known to be important in pathogenesis.
Health care-associated multidrug-resistant
can cause persistent infections in patients, but bacterial cells must overcome host defenses and antibiotic therapies to do so. Genetic variation arises during host infection, and new mutations are often enriched in genes encoding transcriptional regulators, iron acquisition systems, and surface-associated structures. In this study, genetic variation was shown to result in transcriptome remodeling at the level of individual patients and across phylogenetic groups. Differentially expressed genes include those related to capsule modification, iron acquisition, type I pili, and antibiotic resistance. Population level transcriptional variation reflects genome dynamics over longer evolutionary time periods, and convergent transcriptional changes support the adaptive significance of these regions. Transcriptional changes can be attributed to multiple types of genomic change, but inse |
doi_str_mv | 10.1128/mBio.02193-16 |
format | Article |
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isolates from eight patients were analyzed by RNA sequencing (RNA-seq) to identify differentially expressed genes and link them to genetic changes contributing to transcriptional variation at both within-patient and population levels. The number of differentially expressed genes among isolates from the same patient ranged from 26 (patient 588) to 145 (patient 475). Multiple patients had isolates with differential gene expression patterns related to mutations in the
and
two-component regulatory system genes, as well as significant differences in genes related to antibiotic resistance, iron acquisition, amino acid metabolism, and surface-associated proteins. Population level analysis revealed 39 genetic regions with clade-specific differentially expressed genes, for which 19, 8, and 3 of these could be explained by insertion sequence mobilization, recombination-driven sequence variation, and intergenic mutations, respectively. Multiple types of mutations that arise during infection can significantly remodel the expression of genes that are known to be important in pathogenesis.
Health care-associated multidrug-resistant
can cause persistent infections in patients, but bacterial cells must overcome host defenses and antibiotic therapies to do so. Genetic variation arises during host infection, and new mutations are often enriched in genes encoding transcriptional regulators, iron acquisition systems, and surface-associated structures. In this study, genetic variation was shown to result in transcriptome remodeling at the level of individual patients and across phylogenetic groups. Differentially expressed genes include those related to capsule modification, iron acquisition, type I pili, and antibiotic resistance. Population level transcriptional variation reflects genome dynamics over longer evolutionary time periods, and convergent transcriptional changes support the adaptive significance of these regions. Transcriptional changes can be attributed to multiple types of genomic change, but insertion sequence mobilization had a predominant effect. The transcriptional effects of mutations that arise during infection highlight the rapid adaptation of
during host exposure.</description><identifier>ISSN: 2161-2129</identifier><identifier>EISSN: 2150-7511</identifier><identifier>DOI: 10.1128/mBio.02193-16</identifier><identifier>PMID: 28270585</identifier><language>eng</language><publisher>United States: American Society for Microbiology</publisher><subject>Acinetobacter baumannii - drug effects ; Acinetobacter baumannii - genetics ; Acinetobacter baumannii - isolation & purification ; Acinetobacter Infections - drug therapy ; Acinetobacter Infections - microbiology ; Drug Resistance, Multiple, Bacterial ; Gene Expression Profiling ; Humans ; Longitudinal Studies ; Sequence Analysis, RNA</subject><ispartof>mBio, 2017-03, Vol.8 (2)</ispartof><rights>Copyright © 2017 Wright et al.</rights><rights>Copyright © 2017 Wright et al. 2017 Wright et al.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c387t-1e6c2ecc95608704c9184d53c045c5c514f6b9e9057264a14669ab05f36799173</citedby><cites>FETCH-LOGICAL-c387t-1e6c2ecc95608704c9184d53c045c5c514f6b9e9057264a14669ab05f36799173</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/PMC5340874/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5340874/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,728,781,785,865,886,3189,27929,27930,53796,53798</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28270585$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Keim, Paul</contributor><creatorcontrib>Wright, Meredith S</creatorcontrib><creatorcontrib>Jacobs, Michael R</creatorcontrib><creatorcontrib>Bonomo, Robert A</creatorcontrib><creatorcontrib>Adams, Mark D</creatorcontrib><title>Transcriptome Remodeling of Acinetobacter baumannii during Infection and Treatment</title><title>mBio</title><addtitle>mBio</addtitle><description>is an increasingly common multidrug-resistant pathogen in health care settings. Although the genetic basis of antibiotic resistance mechanisms has been extensively studied, much less is known about how genetic variation contributes to other aspects of successful infections. Genetic changes that occur during host infection and treatment have the potential to remodel gene expression patterns related to resistance and pathogenesis. Longitudinal sets of multidrug-resistant
isolates from eight patients were analyzed by RNA sequencing (RNA-seq) to identify differentially expressed genes and link them to genetic changes contributing to transcriptional variation at both within-patient and population levels. The number of differentially expressed genes among isolates from the same patient ranged from 26 (patient 588) to 145 (patient 475). Multiple patients had isolates with differential gene expression patterns related to mutations in the
and
two-component regulatory system genes, as well as significant differences in genes related to antibiotic resistance, iron acquisition, amino acid metabolism, and surface-associated proteins. Population level analysis revealed 39 genetic regions with clade-specific differentially expressed genes, for which 19, 8, and 3 of these could be explained by insertion sequence mobilization, recombination-driven sequence variation, and intergenic mutations, respectively. Multiple types of mutations that arise during infection can significantly remodel the expression of genes that are known to be important in pathogenesis.
Health care-associated multidrug-resistant
can cause persistent infections in patients, but bacterial cells must overcome host defenses and antibiotic therapies to do so. Genetic variation arises during host infection, and new mutations are often enriched in genes encoding transcriptional regulators, iron acquisition systems, and surface-associated structures. In this study, genetic variation was shown to result in transcriptome remodeling at the level of individual patients and across phylogenetic groups. Differentially expressed genes include those related to capsule modification, iron acquisition, type I pili, and antibiotic resistance. Population level transcriptional variation reflects genome dynamics over longer evolutionary time periods, and convergent transcriptional changes support the adaptive significance of these regions. Transcriptional changes can be attributed to multiple types of genomic change, but insertion sequence mobilization had a predominant effect. The transcriptional effects of mutations that arise during infection highlight the rapid adaptation of
during host exposure.</description><subject>Acinetobacter baumannii - drug effects</subject><subject>Acinetobacter baumannii - genetics</subject><subject>Acinetobacter baumannii - isolation & purification</subject><subject>Acinetobacter Infections - drug therapy</subject><subject>Acinetobacter Infections - microbiology</subject><subject>Drug Resistance, Multiple, Bacterial</subject><subject>Gene Expression Profiling</subject><subject>Humans</subject><subject>Longitudinal Studies</subject><subject>Sequence Analysis, RNA</subject><issn>2161-2129</issn><issn>2150-7511</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpVUU1L7TAQDaKoqEu30qWb3pfJV5uNoKI-QRDkug5pOtVIm1yTVnj_3lZ9ojOLGZjDOcM5hBwDXQGw-s9w4eOKMtC8BLVF9hlIWlYSYHvZFZQMmN4jRzm_0Lk4h5rTXbLHalZRWct98rBONmSX_GaMAxYPOMQWex-eitgV584HHGNj3YipaOw02BC8L9opLYjb0KEbfQyFDW2xTmjHAcN4SHY622c8-poH5PH6an35t7y7v7m9PL8rHa-rsQRUjqFzWipaV1Q4DbVoJXdUSDc3iE41GjWVFVPCglBK24bKjqtKa6j4ATn75N1MzYCtm6WT7c0m-cGmfyZab35fgn82T_HNSC5mRTETnH4RpPg6YR7N4LPDvrcB45QN1JUUs2l80So_oS7FnBN23zJAzRKFWaIwH1EYUDP-5Odv3-j_xvN3RTaFSA</recordid><startdate>20170307</startdate><enddate>20170307</enddate><creator>Wright, Meredith S</creator><creator>Jacobs, Michael R</creator><creator>Bonomo, Robert A</creator><creator>Adams, Mark D</creator><general>American Society for Microbiology</general><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>7X8</scope><scope>5PM</scope></search><sort><creationdate>20170307</creationdate><title>Transcriptome Remodeling of Acinetobacter baumannii during Infection and Treatment</title><author>Wright, Meredith S ; Jacobs, Michael R ; Bonomo, Robert A ; Adams, Mark D</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c387t-1e6c2ecc95608704c9184d53c045c5c514f6b9e9057264a14669ab05f36799173</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Acinetobacter baumannii - drug effects</topic><topic>Acinetobacter baumannii - genetics</topic><topic>Acinetobacter baumannii - isolation & purification</topic><topic>Acinetobacter Infections - drug therapy</topic><topic>Acinetobacter Infections - microbiology</topic><topic>Drug Resistance, Multiple, Bacterial</topic><topic>Gene Expression Profiling</topic><topic>Humans</topic><topic>Longitudinal Studies</topic><topic>Sequence Analysis, RNA</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wright, Meredith S</creatorcontrib><creatorcontrib>Jacobs, Michael R</creatorcontrib><creatorcontrib>Bonomo, Robert A</creatorcontrib><creatorcontrib>Adams, Mark D</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>mBio</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wright, Meredith S</au><au>Jacobs, Michael R</au><au>Bonomo, Robert A</au><au>Adams, Mark D</au><au>Keim, Paul</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Transcriptome Remodeling of Acinetobacter baumannii during Infection and Treatment</atitle><jtitle>mBio</jtitle><addtitle>mBio</addtitle><date>2017-03-07</date><risdate>2017</risdate><volume>8</volume><issue>2</issue><issn>2161-2129</issn><eissn>2150-7511</eissn><abstract>is an increasingly common multidrug-resistant pathogen in health care settings. Although the genetic basis of antibiotic resistance mechanisms has been extensively studied, much less is known about how genetic variation contributes to other aspects of successful infections. Genetic changes that occur during host infection and treatment have the potential to remodel gene expression patterns related to resistance and pathogenesis. Longitudinal sets of multidrug-resistant
isolates from eight patients were analyzed by RNA sequencing (RNA-seq) to identify differentially expressed genes and link them to genetic changes contributing to transcriptional variation at both within-patient and population levels. The number of differentially expressed genes among isolates from the same patient ranged from 26 (patient 588) to 145 (patient 475). Multiple patients had isolates with differential gene expression patterns related to mutations in the
and
two-component regulatory system genes, as well as significant differences in genes related to antibiotic resistance, iron acquisition, amino acid metabolism, and surface-associated proteins. Population level analysis revealed 39 genetic regions with clade-specific differentially expressed genes, for which 19, 8, and 3 of these could be explained by insertion sequence mobilization, recombination-driven sequence variation, and intergenic mutations, respectively. Multiple types of mutations that arise during infection can significantly remodel the expression of genes that are known to be important in pathogenesis.
Health care-associated multidrug-resistant
can cause persistent infections in patients, but bacterial cells must overcome host defenses and antibiotic therapies to do so. Genetic variation arises during host infection, and new mutations are often enriched in genes encoding transcriptional regulators, iron acquisition systems, and surface-associated structures. In this study, genetic variation was shown to result in transcriptome remodeling at the level of individual patients and across phylogenetic groups. Differentially expressed genes include those related to capsule modification, iron acquisition, type I pili, and antibiotic resistance. Population level transcriptional variation reflects genome dynamics over longer evolutionary time periods, and convergent transcriptional changes support the adaptive significance of these regions. Transcriptional changes can be attributed to multiple types of genomic change, but insertion sequence mobilization had a predominant effect. The transcriptional effects of mutations that arise during infection highlight the rapid adaptation of
during host exposure.</abstract><cop>United States</cop><pub>American Society for Microbiology</pub><pmid>28270585</pmid><doi>10.1128/mBio.02193-16</doi><oa>free_for_read</oa></addata></record> |
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subjects | Acinetobacter baumannii - drug effects Acinetobacter baumannii - genetics Acinetobacter baumannii - isolation & purification Acinetobacter Infections - drug therapy Acinetobacter Infections - microbiology Drug Resistance, Multiple, Bacterial Gene Expression Profiling Humans Longitudinal Studies Sequence Analysis, RNA |
title | Transcriptome Remodeling of Acinetobacter baumannii during Infection and Treatment |
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