Reconstruction of the regulatory network of Lactobacillus plantarum WCFS1 on basis of correlated gene expression and conserved regulatory motifs
Article first published online: 26 OCT 2010
© 2010 The Authors. Journal compilation © 2010 Society for Applied Microbiology and Blackwell Publishing Ltd
Special Issue: Lactic Acid Bacteria. Editors: Michiel Kleerebezem and Willem M. de Vos.
Volume 4, Issue 3, pages 333–344, May 2011
How to Cite
Wels, M., Overmars, L., Francke, C., Kleerebezem, M. and Siezen, R. J. (2011), Reconstruction of the regulatory network of Lactobacillus plantarum WCFS1 on basis of correlated gene expression and conserved regulatory motifs. Microbial Biotechnology, 4: 333–344. doi: 10.1111/j.1751-7915.2010.00217.x
- Issue published online: 25 APR 2011
- Article first published online: 26 OCT 2010
- Received 30 May, 2010; accepted 31 August, 2010.
Gene regulatory networks can be reconstructed by combining transcriptome data from many different experiments to elucidate relations between the activity of certain transcription factors and the genes they control. To obtain insight in the regulatory network of Lactobacillus plantarum, microarray transcriptome data from more than 70 different experimental conditions were combined and the expression profiles of the transcriptional units (TUs) were compared. The TUs that displayed correlated expression were used to identify putative cis-regulatory elements by searching the upstream regions of the TUs for conserved motifs. Predicted motifs were extended and refined by searching for motifs in the upstream regions of additional TUs with correlated expression. In this way, cis-acting elements were identified for 41 regulons consisting of at least four TUs (correlation > 0.7). This set of regulons included the known regulons of CtsR and LexA, but also several novel ones encompassing genes with coherent biological functions. Visualization of the regulons and their connections revealed a highly interconnected regulatory network. This network contains several subnetworks that encompass genes of correlated biological function, such as sugar and energy metabolism, nitrogen metabolism and stress response.