Literature DB >> 20430814

Detection and quantification of intergenic transcription in Mycoplasma hyopneumoniae.

Stuart W Gardner1,2, F Chris Minion2.   

Abstract

Mycoplasmas are thought to control gene expression through simple mechanisms. The switching mechanisms needed to regulate transcription during significant environmental shifts do not seem to be required for these host-adapted organisms. Mycoplasma hyopneumoniae, a swine respiratory pathogen, undergoes differential gene expression, but as for all mycoplasmas, the mechanisms involved are still unknown. Since mycoplasmas contain only a single sigma factor and few regulator-type proteins, it is likely that other mechanisms control gene regulation, possibly involving intergenic (IG) regions. To study this further, we investigated whether IG regions are transcribed in M. hyopneumoniae, and measured transcription levels across five specific regions. Microarrays were constructed with probes covering 343 IG regions of the M. hyopneumoniae genome, and RNA isolated from laboratory-grown cells was used to interrogate the arrays. Transcriptional signals were identified in 321 (93.6 %) of the IG regions. Five large (>500 bp) IG regions were chosen for further analysis by qRT-PCR by designing primer sets whose products reside in flanking ORFs, bridge flanking ORFs and the IG region, or reside solely within the IG region. The results indicate that no single transcriptional start site can account for transcriptional activity within IG regions. Transcription can end abruptly at the end of an ORF, but this does not seem to occur at high frequency. Rather, transcription continues past the end of the ORF, with RNA polymerase gradually releasing the template. Transcription can also be initiated within IG regions in the absence of accepted promoter-like sequences.

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Year:  2010        PMID: 20430814     DOI: 10.1099/mic.0.038760-0

Source DB:  PubMed          Journal:  Microbiology        ISSN: 1350-0872            Impact factor:   2.777


  9 in total

1.  Genome organization in Mycoplasma hyopneumoniae: identification of promoter-like sequences.

Authors:  Franciele Maboni Siqueira; Shana de Souto Weber; Amanda Malvessi Cattani; Irene Silveira Schrank
Journal:  Mol Biol Rep       Date:  2014-05-21       Impact factor: 2.316

2.  Evaluation of growth and gene expression of Mycoplasma hyopneumoniae and Mycoplasma hyorhinis in defined medium.

Authors:  Laura Scherer Beier; Franciele Maboni Siqueira; Irene Silveira Schrank
Journal:  Mol Biol Rep       Date:  2018-10-11       Impact factor: 2.316

3.  Structure-based functional inference of hypothetical proteins from Mycoplasma hyopneumoniae.

Authors:  Marbella Maria da Fonsêca; Arnaldo Zaha; Ernesto R Caffarena; Ana Tereza Ribeiro Vasconcelos
Journal:  J Mol Model       Date:  2011-08-26       Impact factor: 1.810

4.  Genome-scale analysis of Mycoplasma agalactiae loci involved in interaction with host cells.

Authors:  Agnès Skapski; Marie-Claude Hygonenq; Eveline Sagné; Sébastien Guiral; Christine Citti; Eric Baranowski
Journal:  PLoS One       Date:  2011-09-23       Impact factor: 3.240

5.  Mycoplasma hyopneumoniae transcription unit organization: genome survey and prediction.

Authors:  Franciele Maboni Siqueira; Augusto Schrank; Irene Silveira Schrank
Journal:  DNA Res       Date:  2011-11-14       Impact factor: 4.458

6.  Construction of Mycoplasma hyopneumoniae P97 Null Mutants.

Authors:  Jeannett M Clampitt; Melissa L Madsen; F Chris Minion
Journal:  Front Microbiol       Date:  2021-04-22       Impact factor: 5.640

7.  Unveiling Mycoplasma hyopneumoniae promoters: sequence definition and genomic distribution.

Authors:  Shana de Souto Weber; Fernando Hayashi Sant'Anna; Irene Silveira Schrank
Journal:  DNA Res       Date:  2012-02-14       Impact factor: 4.458

8.  Proteogenomic mapping of Mycoplasma hyopneumoniae virulent strain 232.

Authors:  Ken Pendarvis; Matthew P Padula; Jessica L Tacchi; Andrew C Petersen; Steven P Djordjevic; Shane C Burgess; F Chris Minion
Journal:  BMC Genomics       Date:  2014-07-08       Impact factor: 3.969

9.  Multiplex PCR and Microarray for Detection of Swine Respiratory Pathogens.

Authors:  O Lung; S Ohene-Adjei; C Buchanan; T Joseph; R King; A Erickson; S Detmer; A Ambagala
Journal:  Transbound Emerg Dis       Date:  2015-12-12       Impact factor: 5.005

  9 in total

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