TY - JOUR
T1 - RhizoRegNet-A database of rhizobial transcription factors and regulatory networks
AU - Krol, Elizaveta
AU - Blom, Jochen
AU - Winnebald, Jörn
AU - Berhörster, Alexander
AU - Barnett, Melanie J.
AU - Goesmann, Alexander
AU - Baumbach, Jan
AU - Becker, Anke
N1 - Funding Information:
This study was supported by the Bundesministerium für Bildung und Forschung (Germany) in the framework of the Freiburg Initiative for Systems Biology (FRISYS) and grant 0313805A. MJB was supported by National Institutes of Health Grant GM30962 to Sharon R. Long. We thank Delphine Capela and Jacques Batut (INRA, Toulouse, France) for providing regulatory data. The authors further wish to thank the Bioinformatics Resource Facility system administrator team (CeBiTec, Bielefeld University, Germany) for expert technical support.
PY - 2011/8/20
Y1 - 2011/8/20
N2 - Sinorhizobium meliloti is a symbiotic soil bacterium that forms nitrogen-fixing nodules on roots of leguminous plants, including Medicago truncatula (barrel medic), and M. sativa (alfalfa). The Sinorhizobium-Medicago symbiosis is an important symbiosis model system. Knowledge gained from this system can be extended to other agriculturally important "rhizobial" symbioses. Since the publication of the S. meliloti genome in 2001, many new genetic, biochemical and physiological data have been generated. Effective methods to organize, store, and mine this postgenome data are crucial for continued success of the S. meliloti model system. In 2009, we introduced a portal for rhizobial genomes, RhizoGATE (Becker et al., J. Biotechnol. 140, 45-50). The RhizoGATE portal combines continuously updated S. meliloti genome annotation with postgenome data resources. Here we report integration of a new component, RhizoRegNet, to RhizoGATE. RhizoRegNet combines transcriptome data and operon predictions with published data on regulatory interactions. By allowing searching and visualisation of complex transcriptional regulatory networks, RhizoRegNet advances our understanding of transcriptional regulation in S. meliloti. The current version of RhizoRegNet is divided into 13 functional modules containing information for 114 regulators, 475 regulated genes, and 178 transcription factor binding motifs. In this report, we provide an example of how RhizoRegNet facilitates visualisation and analysis of the regulatory network for exopolysaccharide biosynthesis and motility. Presently, RhizoRegNet contains regulatory network information for S. meliloti and the closely related bacterium, S. medicae, but can be expanded to include other rhizobial species.
AB - Sinorhizobium meliloti is a symbiotic soil bacterium that forms nitrogen-fixing nodules on roots of leguminous plants, including Medicago truncatula (barrel medic), and M. sativa (alfalfa). The Sinorhizobium-Medicago symbiosis is an important symbiosis model system. Knowledge gained from this system can be extended to other agriculturally important "rhizobial" symbioses. Since the publication of the S. meliloti genome in 2001, many new genetic, biochemical and physiological data have been generated. Effective methods to organize, store, and mine this postgenome data are crucial for continued success of the S. meliloti model system. In 2009, we introduced a portal for rhizobial genomes, RhizoGATE (Becker et al., J. Biotechnol. 140, 45-50). The RhizoGATE portal combines continuously updated S. meliloti genome annotation with postgenome data resources. Here we report integration of a new component, RhizoRegNet, to RhizoGATE. RhizoRegNet combines transcriptome data and operon predictions with published data on regulatory interactions. By allowing searching and visualisation of complex transcriptional regulatory networks, RhizoRegNet advances our understanding of transcriptional regulation in S. meliloti. The current version of RhizoRegNet is divided into 13 functional modules containing information for 114 regulators, 475 regulated genes, and 178 transcription factor binding motifs. In this report, we provide an example of how RhizoRegNet facilitates visualisation and analysis of the regulatory network for exopolysaccharide biosynthesis and motility. Presently, RhizoRegNet contains regulatory network information for S. meliloti and the closely related bacterium, S. medicae, but can be expanded to include other rhizobial species.
KW - Alphaproteobacteria
KW - Regulatory networks
KW - Rhizobiales
KW - Symbiotic nitrogen fixation
KW - Transcriptional regulation
UR - https://www.scopus.com/pages/publications/79961207218
U2 - 10.1016/j.jbiotec.2010.11.004
DO - 10.1016/j.jbiotec.2010.11.004
M3 - Article
C2 - 21087643
AN - SCOPUS:79961207218
SN - 0168-1656
VL - 155
SP - 127
EP - 134
JO - Journal of Biotechnology
JF - Journal of Biotechnology
IS - 1
ER -