Differential expression of putative drug resistance genes in Mycobacterium tuberculosis clinical isolates
Understanding drug resistance in Mycobacterium tuberculosis requires an integrated analysis of strain lineages, mutations and gene expression. Previously, we reported the differential expression of esxG, esxH, infA, groES, rpmI, rpsA and lipF genes in a sensitive M. tuberculosis strain and in a mult...
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| Veröffentlicht in: | FEMS microbiology letters 2015-12, Vol.362 (23), p.fnv194-fnv194 |
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| creator | González-Escalante, Laura Peñuelas-Urquides, Katia Said-Fernández, Salvador Silva-Ramírez, Beatriz Bermúdez de León, Mario |
| description | Understanding drug resistance in Mycobacterium tuberculosis requires an integrated analysis of strain lineages, mutations and gene expression. Previously, we reported the differential expression of esxG, esxH, infA, groES, rpmI, rpsA and lipF genes in a sensitive M. tuberculosis strain and in a multidrug-resistant clinical isolate. Here, we have evaluated the expression of these genes in 24 clinical isolates that belong to different lineages and have different drug resistance profiles. In vitro, growth kinetics analysis showed no difference in the growth of the clinical isolates, and thus drug resistance occurred without a fitness cost. However, a quantitative reverse transcription PCR analysis of gene expression revealed high variability among the clinical isolates, including those with similar drug resistance profiles. Due to the complexity of gene regulation pathways and the wide diversity of M. tuberculosis lineages, the use of gene expression as a molecular signature for drug resistance is not straightforward. Therefore, we recommend that the expression of M. tuberculosis genes be performed individually, and baseline expression levels should be verified among several different clinical isolates, before any further applications of these findings.
Looking for ‘hallmarks’ to differentiate between drug-sensitive and drug-resistant microbes, we found a protein potentially involved with drug resistance in Mycobacterium tuberculosis. |
| doi_str_mv | 10.1093/femsle/fnv194 |
| format | Article |
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Looking for ‘hallmarks’ to differentiate between drug-sensitive and drug-resistant microbes, we found a protein potentially involved with drug resistance in Mycobacterium tuberculosis.</description><identifier>ISSN: 1574-6968</identifier><identifier>ISSN: 0378-1097</identifier><identifier>EISSN: 1574-6968</identifier><identifier>DOI: 10.1093/femsle/fnv194</identifier><identifier>PMID: 26454220</identifier><language>eng</language><publisher>England: Oxford University Press</publisher><subject>Clinical isolates ; Cost analysis ; Drug resistance ; Drug Resistance, Bacterial - genetics ; Gene Expression ; Gene regulation ; Genes ; Genes, Bacterial ; Growth kinetics ; Humans ; Microbiology ; Multidrug resistance ; Mutation ; Mycobacterium tuberculosis ; Mycobacterium tuberculosis - drug effects ; Mycobacterium tuberculosis - genetics ; Mycobacterium tuberculosis - isolation & purification ; Mycobacterium tuberculosis - metabolism ; Reverse Transcriptase Polymerase Chain Reaction ; Reverse transcription ; Tuberculosis ; Tuberculosis - microbiology</subject><ispartof>FEMS microbiology letters, 2015-12, Vol.362 (23), p.fnv194-fnv194</ispartof><rights>FEMS 2015. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com 2015</rights><rights>FEMS 2015. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.</rights><rights>FEMS 2015. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c354t-c2b0dba8178b279c6084000cab523baeb105ede9a98bcab7fbf8d0014afe383c3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,1583,27923,27924</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26454220$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>González-Escalante, Laura</creatorcontrib><creatorcontrib>Peñuelas-Urquides, Katia</creatorcontrib><creatorcontrib>Said-Fernández, Salvador</creatorcontrib><creatorcontrib>Silva-Ramírez, Beatriz</creatorcontrib><creatorcontrib>Bermúdez de León, Mario</creatorcontrib><title>Differential expression of putative drug resistance genes in Mycobacterium tuberculosis clinical isolates</title><title>FEMS microbiology letters</title><addtitle>FEMS Microbiol Lett</addtitle><description>Understanding drug resistance in Mycobacterium tuberculosis requires an integrated analysis of strain lineages, mutations and gene expression. Previously, we reported the differential expression of esxG, esxH, infA, groES, rpmI, rpsA and lipF genes in a sensitive M. tuberculosis strain and in a multidrug-resistant clinical isolate. Here, we have evaluated the expression of these genes in 24 clinical isolates that belong to different lineages and have different drug resistance profiles. In vitro, growth kinetics analysis showed no difference in the growth of the clinical isolates, and thus drug resistance occurred without a fitness cost. However, a quantitative reverse transcription PCR analysis of gene expression revealed high variability among the clinical isolates, including those with similar drug resistance profiles. Due to the complexity of gene regulation pathways and the wide diversity of M. tuberculosis lineages, the use of gene expression as a molecular signature for drug resistance is not straightforward. Therefore, we recommend that the expression of M. tuberculosis genes be performed individually, and baseline expression levels should be verified among several different clinical isolates, before any further applications of these findings.
Looking for ‘hallmarks’ to differentiate between drug-sensitive and drug-resistant microbes, we found a protein potentially involved with drug resistance in Mycobacterium tuberculosis.</description><subject>Clinical isolates</subject><subject>Cost analysis</subject><subject>Drug resistance</subject><subject>Drug Resistance, Bacterial - genetics</subject><subject>Gene Expression</subject><subject>Gene regulation</subject><subject>Genes</subject><subject>Genes, Bacterial</subject><subject>Growth kinetics</subject><subject>Humans</subject><subject>Microbiology</subject><subject>Multidrug resistance</subject><subject>Mutation</subject><subject>Mycobacterium tuberculosis</subject><subject>Mycobacterium tuberculosis - drug effects</subject><subject>Mycobacterium tuberculosis - genetics</subject><subject>Mycobacterium tuberculosis - isolation & purification</subject><subject>Mycobacterium tuberculosis - metabolism</subject><subject>Reverse Transcriptase Polymerase Chain Reaction</subject><subject>Reverse transcription</subject><subject>Tuberculosis</subject><subject>Tuberculosis - 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genetics</topic><topic>Gene Expression</topic><topic>Gene regulation</topic><topic>Genes</topic><topic>Genes, Bacterial</topic><topic>Growth kinetics</topic><topic>Humans</topic><topic>Microbiology</topic><topic>Multidrug resistance</topic><topic>Mutation</topic><topic>Mycobacterium tuberculosis</topic><topic>Mycobacterium tuberculosis - drug effects</topic><topic>Mycobacterium tuberculosis - genetics</topic><topic>Mycobacterium tuberculosis - isolation & purification</topic><topic>Mycobacterium tuberculosis - metabolism</topic><topic>Reverse Transcriptase Polymerase Chain Reaction</topic><topic>Reverse transcription</topic><topic>Tuberculosis</topic><topic>Tuberculosis - microbiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>González-Escalante, Laura</creatorcontrib><creatorcontrib>Peñuelas-Urquides, Katia</creatorcontrib><creatorcontrib>Said-Fernández, Salvador</creatorcontrib><creatorcontrib>Silva-Ramírez, Beatriz</creatorcontrib><creatorcontrib>Bermúdez de León, Mario</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech 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>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</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>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>FEMS microbiology letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>González-Escalante, Laura</au><au>Peñuelas-Urquides, Katia</au><au>Said-Fernández, Salvador</au><au>Silva-Ramírez, Beatriz</au><au>Bermúdez de León, Mario</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Differential expression of putative drug resistance genes in Mycobacterium tuberculosis clinical isolates</atitle><jtitle>FEMS microbiology letters</jtitle><addtitle>FEMS Microbiol Lett</addtitle><date>2015-12-01</date><risdate>2015</risdate><volume>362</volume><issue>23</issue><spage>fnv194</spage><epage>fnv194</epage><pages>fnv194-fnv194</pages><issn>1574-6968</issn><issn>0378-1097</issn><eissn>1574-6968</eissn><abstract>Understanding drug resistance in Mycobacterium tuberculosis requires an integrated analysis of strain lineages, mutations and gene expression. Previously, we reported the differential expression of esxG, esxH, infA, groES, rpmI, rpsA and lipF genes in a sensitive M. tuberculosis strain and in a multidrug-resistant clinical isolate. Here, we have evaluated the expression of these genes in 24 clinical isolates that belong to different lineages and have different drug resistance profiles. In vitro, growth kinetics analysis showed no difference in the growth of the clinical isolates, and thus drug resistance occurred without a fitness cost. However, a quantitative reverse transcription PCR analysis of gene expression revealed high variability among the clinical isolates, including those with similar drug resistance profiles. Due to the complexity of gene regulation pathways and the wide diversity of M. tuberculosis lineages, the use of gene expression as a molecular signature for drug resistance is not straightforward. Therefore, we recommend that the expression of M. tuberculosis genes be performed individually, and baseline expression levels should be verified among several different clinical isolates, before any further applications of these findings.
Looking for ‘hallmarks’ to differentiate between drug-sensitive and drug-resistant microbes, we found a protein potentially involved with drug resistance in Mycobacterium tuberculosis.</abstract><cop>England</cop><pub>Oxford University Press</pub><pmid>26454220</pmid><doi>10.1093/femsle/fnv194</doi></addata></record> |
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| source | MEDLINE; Oxford University Press Journals All Titles (1996-Current); Alma/SFX Local Collection |
| subjects | Clinical isolates Cost analysis Drug resistance Drug Resistance, Bacterial - genetics Gene Expression Gene regulation Genes Genes, Bacterial Growth kinetics Humans Microbiology Multidrug resistance Mutation Mycobacterium tuberculosis Mycobacterium tuberculosis - drug effects Mycobacterium tuberculosis - genetics Mycobacterium tuberculosis - isolation & purification Mycobacterium tuberculosis - metabolism Reverse Transcriptase Polymerase Chain Reaction Reverse transcription Tuberculosis Tuberculosis - microbiology |
| title | Differential expression of putative drug resistance genes in Mycobacterium tuberculosis clinical isolates |
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