Skip to main page content
Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2011 Jun 15;12 Suppl 1(Suppl 1):S3.
doi: 10.1186/1471-2164-12-S1-S3.

Comparative Genomic Reconstruction of Transcriptional Networks Controlling Central Metabolism in the Shewanella Genus

Affiliations
Free PMC article

Comparative Genomic Reconstruction of Transcriptional Networks Controlling Central Metabolism in the Shewanella Genus

Dmitry A Rodionov et al. BMC Genomics. .
Free PMC article

Abstract

Background: Genome-scale prediction of gene regulation and reconstruction of transcriptional regulatory networks in bacteria is one of the critical tasks of modern genomics. The Shewanella genus is comprised of metabolically versatile gamma-proteobacteria, whose lifestyles and natural environments are substantially different from Escherichia coli and other model bacterial species. The comparative genomics approaches and computational identification of regulatory sites are useful for the in silico reconstruction of transcriptional regulatory networks in bacteria.

Results: To explore conservation and variations in the Shewanella transcriptional networks we analyzed the repertoire of transcription factors and performed genomics-based reconstruction and comparative analysis of regulons in 16 Shewanella genomes. The inferred regulatory network includes 82 transcription factors and their DNA binding sites, 8 riboswitches and 6 translational attenuators. Forty five regulons were newly inferred from the genome context analysis, whereas others were propagated from previously characterized regulons in the Enterobacteria and Pseudomonas spp.. Multiple variations in regulatory strategies between the Shewanella spp. and E. coli include regulon contraction and expansion (as in the case of PdhR, HexR, FadR), numerous cases of recruiting non-orthologous regulators to control equivalent pathways (e.g. PsrA for fatty acid degradation) and, conversely, orthologous regulators to control distinct pathways (e.g. TyrR, ArgR, Crp).

Conclusions: We tentatively defined the first reference collection of ~100 transcriptional regulons in 16 Shewanella genomes. The resulting regulatory network contains ~600 regulated genes per genome that are mostly involved in metabolism of carbohydrates, amino acids, fatty acids, vitamins, metals, and stress responses. Several reconstructed regulons including NagR for N-acetylglucosamine catabolism were experimentally validated in S. oneidensis MR-1. Analysis of correlations in gene expression patterns helps to interpret the reconstructed regulatory network. The inferred regulatory interactions will provide an additional regulatory constrains for an integrated model of metabolism and regulation in S. oneidensis MR-1.

Figures

Figure 1
Figure 1
Phylogenetic tree, isolation site characteristics and the geographic origin of 20 Shewanella species with available genomes. The tree was constructed using the concatenated alignment of ~78 universal prokaryotic proteins in the MicrobesOnline database http://www.microbesonline.org/cgi-bin/speciesTree.cgi.
Figure 2
Figure 2
Distribution by protein families of predicted DNA-binding transcription factors in the Shewanella genomes.
Figure 3
Figure 3
Metabolic context of the reconstructed regulons in Shewanella spp.
Figure 4
Figure 4
Multiple regulation of branched chain amino acid utilization regulon LiuR in Shewanella oneidensis MR-1

Similar articles

See all similar articles

Cited by 32 articles

See all "Cited by" articles

References

    1. Rodionov DA. Comparative genomic reconstruction of transcriptional regulatory networks in bacteria. Chem Rev. 2007;107:3467–3497. doi: 10.1021/cr068309+. - DOI - PMC - PubMed
    1. Minchin SD, Busby SJ. Analysis of mechanisms of activation and repression at bacterial promoters. Methods. 2009;47:6–12. doi: 10.1016/j.ymeth.2008.10.012. - DOI - PubMed
    1. Grainger DC, Lee DJ, Busby SJ. Direct methods for studying transcription regulatory proteins and RNA polymerase in bacteria. Curr Opin Microbiol. 2009;12:531–535. doi: 10.1016/j.mib.2009.08.006. - DOI - PubMed
    1. Kazakov AE, Rodionov DA, Alm E, Arkin AP, Dubchak I, Gelfand MS. Comparative genomics of regulation of fatty acid and branched-chain amino acid utilization in proteobacteria. J Bacteriol. 2009;191:52–64. doi: 10.1128/JB.01175-08. - DOI - PMC - PubMed
    1. Laikova ON, Mironov AA, Gelfand MS. Computational analysis of the transcriptional regulation of pentose utilization systems in the gamma subdivision of Proteobacteria. FEMS Microbiol Lett. 2001;205:315–322. doi: 10.1111/j.1574-6968.2001.tb10966.x. - DOI - PubMed

Publication types

MeSH terms

LinkOut - more resources

Feedback