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The other cluster of regulations relates to minimum worker rights.
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We analyzed the structure of these clusters of regulation.
This transcriptomic analysis using tilling arrays for L. monocytogenes highlighted clusters of regulation (Figure 6 and Table S9).
We included in the clusters of regulation all of the windows in which at least the half of genes were found differentially expressed.
We also found undescribed but comparable clusters of regulation in previously reported transcriptomic analyses of intracellular bacteria, including Rickettsia sp. and Listeria monocytogenes.
Here, we found that many of the genes that are differentially expressed upon exposure to temperature stresses are organized into clusters of regulation.
The genes implicated in clusters of regulation in C. burnetii presented no clearly identified synteny with those of Legionella sp. or Francisella sp. (Table S7).
We found that these clusters of regulation contained differentially expressed genes that were significantly associated compared to a random distribution in the genome (Figure 5 and Table S3).
Though these clusters of regulation included a number of genes that do not have obvious associated functions, we looked for networks that could link our clusters together and help us to understand this organization of gene expression regulation.
The transcriptomic patterns of C. burnetii observed under temperature stresses permits the recognition of unpredicted clusters of regulation for which the trigger mechanism remains unidentified but which may be the result of a new mechanism of epigenetic regulation.
Such phenomena are well known in eukaryotic models, such as in ncRNA silencing, and it is easy to speculate that this could be responsible for the clusters of regulation we have observed.
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