Reconstruction of regulatory and metabolic pathways in metal-reducing δ-proteobacteria View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2004-10

AUTHORS

Dmitry A Rodionov, Inna Dubchak, Adam Arkin, Eric Alm, Mikhail S Gelfand

ABSTRACT

BACKGROUND: Relatively little is known about the genetic basis for the unique physiology of metal-reducing genera in the delta subgroup of the proteobacteria. The recent availability of complete finished or draft-quality genome sequences for seven representatives allowed us to investigate the genetic and regulatory factors in a number of key pathways involved in the biosynthesis of building blocks and cofactors, metal-ion homeostasis, stress response, and energy metabolism using a combination of regulatory sequence detection and analysis of genomic context. RESULTS: In the genomes of delta-proteobacteria, we identified candidate binding sites for four regulators of known specificity (BirA, CooA, HrcA, sigma-32), four types of metabolite-binding riboswitches (RFN-, THI-, B12-elements and S-box), and new binding sites for the FUR, ModE, NikR, PerR, and ZUR transcription factors, as well as for the previously uncharacterized factors HcpR and LysX. After reconstruction of the corresponding metabolic pathways and regulatory interactions, we identified possible functions for a large number of previously uncharacterized genes covering a wide range of cellular functions. CONCLUSIONS: Phylogenetically diverse delta-proteobacteria appear to have homologous regulatory components. This study for the first time demonstrates the adaptability of the comparative genomic approach to de novo reconstruction of a regulatory network in a poorly studied taxonomic group of bacteria. Recent efforts in large-scale functional genomic characterization of Desulfovibrio species will provide a unique opportunity to test and expand our predictions. More... »

PAGES

r90

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/gb-2004-5-11-r90

DOI

http://dx.doi.org/10.1186/gb-2004-5-11-r90

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1019175728

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/15535866


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