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Computational tools and Interoperability in Comparative ... - CBS

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Chapter 3<br />

rRNA operons <strong>and</strong> promoter analysis<br />

rRNA operons <strong>and</strong> promoter<br />

analysis<br />

3.1 Introduction<br />

This chapter covers two papers (VI <strong>and</strong> VII), deal<strong>in</strong>g with rRNA localization with<strong>in</strong> the<br />

genome, <strong>and</strong> analysis of the promoter region upstream of rRNA operons. The RNAmmer<br />

tool (Lagesen et al., 2007) presented <strong>in</strong> paper VI was motivated by the lack of a software<br />

<strong>tools</strong> that was able to accurately <strong>and</strong> consistently annotate ribosomal RNA (rRNA) genes<br />

<strong>in</strong> prokaryotes. BLAST strategies are widely used for this as the rRNA genes are highly<br />

conserved. However, homology search methods produces often less accurate gene boundaries<br />

as they fail to account for the observed variation <strong>in</strong> some regions. Hidden Markov<br />

Model (HMM) strategies, such as RNAmmer, can take <strong>in</strong>to account conserved stem loop<br />

structures, greatly improv<strong>in</strong>g the accuracy of prediction of the full length rRNA genes.<br />

Particular detail will be given to the E. coli rRNA operons <strong>in</strong> terms of promoter predictions,<br />

s<strong>in</strong>ce much experimental <strong>in</strong>formation is known about this system. An application<br />

of the gwBrowser as a tool for visualization of promoter regions upstream of the rRNA<br />

operons <strong>in</strong> E. coli concludes the chapter. The gwBrowser effort is currently be<strong>in</strong>g published<br />

<strong>in</strong> the St<strong>and</strong>ards In Genomic Sciences journal. The P1 <strong>and</strong> P2 prediction <strong>tools</strong> are<br />

still developmental, <strong>and</strong> have not been published.<br />

Encod<strong>in</strong>g the central structure of the ribosome, the 5S, 16S, <strong>and</strong> 23S rRNA genes are<br />

essential for prote<strong>in</strong> synthesis <strong>and</strong> are transcribed at high levels. In E. coli the rrn operons<br />

are regulated by a t<strong>and</strong>em promotor system. With abundant transcription, the system is<br />

favorable for study<strong>in</strong>g the mechanisms of highly expressed genes <strong>and</strong> establish connection<br />

to the physical properties of the DNA. In this work, the SIDD energy (Wang et al., 2004;<br />

Wang & Benham, 2008) was used to measure the energy requirement to melt the DNA<br />

helix near the promotor region. The work was carried out dur<strong>in</strong>g my visit to Professor<br />

Craig Benhams lab at UC Davis, fall 2007.<br />

3.2 P1 <strong>and</strong> P2 promoters <strong>in</strong> E. coli<br />

The seven rRNA operons of E. coli are regulated by the two promotors P1 <strong>and</strong> P2,<br />

where P1 is active predom<strong>in</strong>ately dur<strong>in</strong>g exponential growth whereas P2 is active dur<strong>in</strong>g<br />

stationay phase (Hirvonen et al., 2001; Murray & Gourse, 2004). Apart from the –10 <strong>and</strong><br />

–35 hexamers, the P1 site conta<strong>in</strong>s between 3 <strong>and</strong> 5 FIS (Factor for Inversion Stimulation)<br />

b<strong>in</strong>d<strong>in</strong>g sites <strong>and</strong> an UP element. FIS has been reported to <strong>in</strong>crease the transcription <strong>in</strong><br />

vivo by 4-10 fold <strong>in</strong> this system (Bokal et al., 1995).<br />

105

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