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Gene regulation in Streptococcus pneumoniae - RePub - Erasmus ...

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Chapter 8<br />

206<br />

206<br />

Another important f<strong>in</strong>d<strong>in</strong>g described <strong>in</strong> this thesis is requirement of the two nutritional<br />

regulators CodY and GlnR for full pneumococcal virulence (chapter 4, 5, and 6). Obviously,<br />

nutrition is the most important process <strong>in</strong> (bacterial) survival; without food no liv<strong>in</strong>g organism<br />

can survive. Under normal conditions, pneumococcus only <strong>in</strong>habits the nasopharynx of<br />

humans. This highly specific niche probably has a highly specific pool of metabolizable<br />

nutrients for which pneumococcus has developed specific metabolic routes. This makes it<br />

very likely that expression (or repression) of genes <strong>in</strong>volved <strong>in</strong> nutrient uptake/breakdown and<br />

colonization are l<strong>in</strong>ked and co-regulated. Chapters 4, 5, and 6 have contributed to a general<br />

understand<strong>in</strong>g of this gene <strong>regulation</strong>. Future research should be focus<strong>in</strong>g on elucidation of<br />

these regulatory pathways to get a better understand<strong>in</strong>g of pneumococcal behavior. For<br />

<strong>in</strong>stance, CodY is repress<strong>in</strong>g its gene targets dur<strong>in</strong>g colonization (12), but it rema<strong>in</strong>s to be<br />

<strong>in</strong>vestigated whether CodY-regulated genes are required for <strong>in</strong>vasive disease. It will be<br />

<strong>in</strong>terest<strong>in</strong>g to see the virulence phenotype of a CodY-overexpress<strong>in</strong>g pneumococcus dur<strong>in</strong>g a<br />

pneumonia or bacteremia model of <strong>in</strong>fection.<br />

In summary, this thesis highlights regulatory networks controll<strong>in</strong>g the <strong>in</strong>terplay<br />

between pneumococcal nutrition and virulence. Unravel<strong>in</strong>g the gene transcriptional networks<br />

will help predict bacterial behavior and, consequently, will aid future disease prevention and<br />

treatment strategies.

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