@article {456,
	title = {Genome-scale comparison and constraint-based metabolic reconstruction of the facultative anaerobic Fe(III)-reducer Rhodoferax ferrireducens.},
	journal = {BMC Genomics},
	volume = {10},
	year = {2009},
	month = {2009},
	pages = {447},
	abstract = {BACKGROUND: Rhodoferax ferrireducens is a metabolically versatile, Fe(III)-reducing, subsurface microorganism that is likely to play an important role in the carbon and metal cycles in the subsurface. It also has the unique ability to convert sugars to electricity, oxidizing the sugars to carbon dioxide with quantitative electron transfer to graphite electrodes in microbial fuel cells. In order to expand our limited knowledge about R. ferrireducens, the complete genome sequence of this organism was further annotated and then the physiology of R. ferrireducens was investigated with a constraint-based, genome-scale in silico metabolic model and laboratory studies.

RESULTS: The iterative modeling and experimental approach unveiled exciting, previously unknown physiological features, including an expanded range of substrates that support growth, such as cellobiose and citrate, and provided additional insights into important features such as the stoichiometry of the electron transport chain and the ability to grow via fumarate dismutation. Further analysis explained why R. ferrireducens is unable to grow via photosynthesis or fermentation of sugars like other members of this genus and uncovered novel genes for benzoate metabolism. The genome also revealed that R. ferrireducens is well-adapted for growth in the subsurface because it appears to be capable of dealing with a number of environmental insults, including heavy metals, aromatic compounds, nutrient limitation and oxidative stress.

CONCLUSION: This study demonstrates that combining genome-scale modeling with the annotation of a new genome sequence can guide experimental studies and accelerate the understanding of the physiology of under-studied yet environmentally relevant microorganisms.},
	keywords = {Comamonadaceae, Comparative Genomic Hybridization, DNA, Bacterial, Ferric Compounds, Genome, Bacterial, Genomics, Models, Biological, Oxidation-Reduction, Sequence Analysis, DNA},
	issn = {1471-2164},
	doi = {10.1186/1471-2164-10-447},
	author = {Risso, Carla and Sun, Jun and Zhuang, Kai and Mahadevan, Radhakrishnan and DeBoy, Robert and Ismail, Wael and Shrivastava, Susmita and Huot, Heather and Kothari, Sagar and Daugherty, Sean and Bui, Olivia and Schilling, Christophe H and Lovley, Derek R and Meth{\'e}, Barbara A}
}
@article {700,
	title = {Characterizing regulation of metabolism in Geobacter sulfurreducens through genome-wide expression data and sequence analysis.},
	journal = {OMICS},
	volume = {12},
	year = {2008},
	month = {2008 Mar},
	pages = {33-59},
	abstract = {Geobacteraceae are a family of metal reducing bacteria with important applications in bioremediation and electricity generation. G. sulfurreducens is a representative of Geobacteraceae that has been extensively studied with the goal of extending the understanding of this family of organisms for optimizing their practical applications. Here, we have analyzed gene expression data from 10 experiments involving environmental and genetic perturbations and have identified putative transcription factor binding sites (TFBS) involved in regulating key aspects of metabolism. Specifically, we considered data from both a subset of 10 microarray experiments (7 of 10) and all 10 experiments. The expression data from these two sets were independently clustered, and the upstream regions of genes and operons from the clusters in both sets were used to identify TFBS using the AlignACE program. This analysis resulted in the identification of motifs upstream of several genes involved in central metabolism, sulfate assimilation, and energy metabolism, as well as genes potentially encoding acetate permease. Further, similar TFBS were identified from the analysis of both sets, suggesting that these TFBS are significant in the regulation of metabolism in G. sulfurreducens. In addition, we have utilized microarray data to derive condition specific constraints on the capacity of key enzymes in central metabolism. We have incorporated these constraints into the metabolic model of G. sulfurreducens and simulated Fe(II)-limited growth. The resulting prediction was consistent with data, suggesting that regulatory constraints are important for simulating growth phenotypes in nonoptimal environments.},
	keywords = {Gene Expression Regulation, Bacterial, Genome, Bacterial, Geobacter, Models, Genetic, Oligonucleotide Array Sequence Analysis, Sequence Analysis, DNA, Transcription, Genetic},
	issn = {1536-2310},
	doi = {10.1089/omi.2007.0043},
	author = {Mahadevan, Radhakrishnan and Yan, Bin and Postier, Brad and Nevin, Kelly P and Woodard, Trevor L and O{\textquoteright}Neil, Regina and Coppi, Maddalena V and Meth{\'e}, Barbara A and Krushkal, Julia}
}
