Literature DB >> 19234113

Mapping the Burkholderia cenocepacia niche response via high-throughput sequencing.

D R Yoder-Himes1, P S G Chain, Y Zhu, O Wurtzel, E M Rubin, James M Tiedje, R Sorek.   

Abstract

Determining how an organism responds to its environment by altering gene expression is key to understanding its ecology. Here, we used RNA-seq to comprehensively and quantitatively assess the transcriptional response of the bacterial opportunistic cystic fibrosis (CF) pathogen and endemic soil dweller, Burkholderia cenocepacia, in conditions mimicking these 2 environments. By sequencing 762 million bases of cDNA from 2 closely related B. cenocepacia strains (one isolated from a CF patient and one from soil), we identified a number of potential virulence factors expressed under CF-like conditions, whereas genes whose protein products are involved in nitrogen scavenging and 2-component sensing were among those induced under soil-like conditions. Interestingly, 13 new putative noncoding RNAs were discovered using this technique, 12 of which are preferentially induced in the soil environment, suggesting that ncRNAs play an important role in survival in the soil. In addition, we detected a surprisingly large number of regulatory differences between the 2 strains, which may represent specific adaptations to the niches from which each strain was isolated, despite their high degree of DNA sequence similarity. Compared with the CF strain, the soil strain shows a stronger global gene expression response to its environment, which is consistent with the need for a more dynamic reaction to the heterogeneous conditions of soil.

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Year:  2009        PMID: 19234113      PMCID: PMC2645912          DOI: 10.1073/pnas.0813403106

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  20 in total

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Review 2.  Small noncoding RNAs controlling pathogenesis.

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Journal:  Curr Opin Microbiol       Date:  2007-03-23       Impact factor: 7.934

Review 3.  The -24/-12 promoter comes of age.

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Journal:  FEMS Microbiol Rev       Date:  1989-12       Impact factor: 16.408

4.  Organic acids, sugars, and L-tryptophane in exudates of vegetables growing on stonewool and their effects on activities of rhizosphere bacteria.

Authors:  Faina Kamilova; Lev V Kravchenko; Alexander I Shaposhnikov; Tatiyana Azarova; Nataliya Makarova; Ben Lugtenberg
Journal:  Mol Plant Microbe Interact       Date:  2006-03       Impact factor: 4.171

5.  An epidemic Burkholderia cepacia complex strain identified in soil.

Authors:  John J LiPuma; Theodore Spilker; Tom Coenye; Carlos F Gonzalez
Journal:  Lancet       Date:  2002-06-08       Impact factor: 79.321

6.  Identification of putative noncoding RNA genes in the Burkholderia cenocepacia J2315 genome.

Authors:  Tom Coenye; Pavel Drevinek; Eshwar Mahenthiralingam; Shiraz Ali Shah; Ryan T Gill; Peter Vandamme; David W Ussery
Journal:  FEMS Microbiol Lett       Date:  2007-11       Impact factor: 2.742

7.  Gene expression changes linked to antimicrobial resistance, oxidative stress, iron depletion and retained motility are observed when Burkholderia cenocepacia grows in cystic fibrosis sputum.

Authors:  Pavel Drevinek; Matthew T G Holden; Zhaoping Ge; Andrew M Jones; Ian Ketchell; Ryan T Gill; Eshwar Mahenthiralingam
Journal:  BMC Infect Dis       Date:  2008-09-19       Impact factor: 3.090

8.  The Vienna RNA websuite.

Authors:  Andreas R Gruber; Ronny Lorenz; Stephan H Bernhart; Richard Neuböck; Ivo L Hofacker
Journal:  Nucleic Acids Res       Date:  2008-04-19       Impact factor: 16.971

9.  Prediction of twin-arginine signal peptides.

Authors:  Jannick Dyrløv Bendtsen; Henrik Nielsen; David Widdick; Tracy Palmer; Søren Brunak
Journal:  BMC Bioinformatics       Date:  2005-07-02       Impact factor: 3.169

10.  Substantial biases in ultra-short read data sets from high-throughput DNA sequencing.

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Journal:  Nucleic Acids Res       Date:  2008-07-26       Impact factor: 16.971

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  127 in total

1.  Validation of two ribosomal RNA removal methods for microbial metatranscriptomics.

Authors:  Shaomei He; Omri Wurtzel; Kanwar Singh; Jeff L Froula; Suzan Yilmaz; Susannah G Tringe; Zhong Wang; Feng Chen; Erika A Lindquist; Rotem Sorek; Philip Hugenholtz
Journal:  Nat Methods       Date:  2010-09-19       Impact factor: 28.547

2.  The Burkholderia cenocepacia LysR-type transcriptional regulator ShvR influences expression of quorum-sensing, protease, type II secretion, and afc genes.

Authors:  Eoin P O'Grady; David T Nguyen; Laure Weisskopf; Leo Eberl; Pamela A Sokol
Journal:  J Bacteriol       Date:  2010-10-22       Impact factor: 3.490

Review 3.  A decade of Burkholderia cenocepacia virulence determinant research.

Authors:  Slade A Loutet; Miguel A Valvano
Journal:  Infect Immun       Date:  2010-07-19       Impact factor: 3.441

4.  The third replicon of members of the Burkholderia cepacia Complex, plasmid pC3, plays a role in stress tolerance.

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Journal:  Appl Environ Microbiol       Date:  2013-12-13       Impact factor: 4.792

Review 5.  Dual RNA-seq of pathogen and host.

Authors:  Alexander J Westermann; Stanislaw A Gorski; Jörg Vogel
Journal:  Nat Rev Microbiol       Date:  2012-09       Impact factor: 60.633

6.  Digital transcriptome profiling using selective hexamer priming for cDNA synthesis.

Authors:  Christopher D Armour; John C Castle; Ronghua Chen; Tomas Babak; Patrick Loerch; Stuart Jackson; Jyoti K Shah; John Dey; Carol A Rohl; Jason M Johnson; Christopher K Raymond
Journal:  Nat Methods       Date:  2009-08-09       Impact factor: 28.547

Review 7.  Prokaryotic transcriptomics: a new view on regulation, physiology and pathogenicity.

Authors:  Rotem Sorek; Pascale Cossart
Journal:  Nat Rev Genet       Date:  2009-11-24       Impact factor: 53.242

Review 8.  Bacterial transcriptomics: what is beyond the RNA horiz-ome?

Authors:  Marc Güell; Eva Yus; Maria Lluch-Senar; Luis Serrano
Journal:  Nat Rev Microbiol       Date:  2011-08-12       Impact factor: 60.633

9.  Assessing computational tools for the discovery of small RNA genes in bacteria.

Authors:  Xiaojun Lu; Heidi Goodrich-Blair; Brian Tjaden
Journal:  RNA       Date:  2011-07-18       Impact factor: 4.942

10.  Analysis of strand-specific RNA-seq data using machine learning reveals the structures of transcription units in Clostridium thermocellum.

Authors:  Wen-Chi Chou; Qin Ma; Shihui Yang; Sha Cao; Dawn M Klingeman; Steven D Brown; Ying Xu
Journal:  Nucleic Acids Res       Date:  2015-03-12       Impact factor: 16.971

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