@article {3127, title = {Constraint-based modeling of carbon fixation and the energetics of electron transfer in Geobacter metallireducens.}, journal = {PLoS Comput Biol}, volume = {10}, year = {2014}, month = {2014 Apr}, pages = {e1003575}, abstract = {

Geobacter species are of great interest for environmental and biotechnology applications as they can carry out direct electron transfer to insoluble metals or other microorganisms and have the ability to assimilate inorganic carbon. Here, we report on the capability and key enabling metabolic machinery of Geobacter metallireducens GS-15 to carry out CO2 fixation and direct electron transfer to iron. An updated metabolic reconstruction was generated, growth screens on targeted conditions of interest were performed, and constraint-based analysis was utilized to characterize and evaluate critical pathways and reactions in G. metallireducens. The novel capability of G. metallireducens to grow autotrophically with formate and Fe(III) was predicted and subsequently validated in vivo. Additionally, the energetic cost of transferring electrons to an external electron acceptor was determined through analysis of growth experiments carried out using three different electron acceptors (Fe(III), nitrate, and fumarate) by systematically isolating and examining different parts of the electron transport chain. The updated reconstruction will serve as a knowledgebase for understanding and engineering Geobacter and similar species.

}, keywords = {Carbon, Electron Transport, Energy Metabolism, Genome, Bacterial, Geobacter, Models, Biological}, issn = {1553-7358}, doi = {10.1371/journal.pcbi.1003575}, author = {Feist, Adam M and Nagarajan, Harish and Rotaru, Amelia-Elena and Tremblay, Pier-Luc and Zhang, Tian and Nevin, Kelly P and Lovley, Derek R and Zengler, Karsten} } @article {3133, title = {Characterization and modelling of interspecies electron transfer mechanisms and microbial community dynamics of a syntrophic association.}, journal = {Nat Commun}, volume = {4}, year = {2013}, month = {2013}, pages = {2809}, abstract = {

Syntrophic associations are central to microbial communities and thus have a fundamental role in the global carbon cycle. Despite biochemical approaches describing the physiological activity of these communities, there has been a lack of a mechanistic understanding of the relationship between complex nutritional and energetic dependencies and their functioning. Here we apply a multi-omic modelling workflow that combines genomic, transcriptomic and physiological data with genome-scale models to investigate dynamics and electron flow mechanisms in the syntrophic association of Geobacter metallireducens and Geobacter sulfurreducens. Genome-scale modelling of direct interspecies electron transfer reveals insights into the energetics of electron transfer mechanisms. While G. sulfurreducens adapts to rapid syntrophic growth by changes at the genomic and transcriptomic level, G. metallireducens responds only at the transcriptomic level. This multi-omic approach enhances our understanding of adaptive responses and factors that shape the evolution of syntrophic communities.

}, keywords = {Adaptation, Biological, Biological Evolution, Electron Transport, Genome, Bacterial, Geobacter, Microbial Interactions, Models, Biological, Symbiosis, Transcriptome}, issn = {2041-1723}, doi = {10.1038/ncomms3809}, author = {Nagarajan, Harish and Embree, Mallory and Rotaru, Amelia-Elena and Shrestha, Pravin M and Feist, Adam M and Palsson, Bernhard {\O} and Lovley, Derek R and Zengler, Karsten} } @article {3132, title = {Characterizing acetogenic metabolism using a genome-scale metabolic reconstruction of Clostridium ljungdahlii.}, journal = {Microb Cell Fact}, volume = {12}, year = {2013}, month = {2013 Nov 25}, pages = {118}, abstract = {

BACKGROUND: The metabolic capabilities of acetogens to ferment a wide range of sugars, to grow autotrophically on H2/CO2, and more importantly on synthesis gas (H2/CO/CO2) make them very attractive candidates as production hosts for biofuels and biocommodities. Acetogenic metabolism is considered one of the earliest modes of bacterial metabolism. A thorough understanding of various factors governing the metabolism, in particular energy conservation mechanisms, is critical for metabolic engineering of acetogens for targeted production of desired chemicals.

RESULTS: Here, we present the genome-scale metabolic network of Clostridium ljungdahlii, the first such model for an acetogen. This genome-scale model (iHN637) consisting of 637 genes, 785 reactions, and 698 metabolites captures all the major central metabolic and biosynthetic pathways, in particular pathways involved in carbon fixation and energy conservation. A combination of metabolic modeling, with physiological and transcriptomic data provided insights into autotrophic metabolism as well as aided the characterization of a nitrate reduction pathway in C. ljungdahlii. Analysis of the iHN637 metabolic model revealed that flavin based electron bifurcation played a key role in energy conservation during autotrophic growth and helped identify genes for some of the critical steps in this mechanism.

CONCLUSIONS: iHN637 represents a predictive model that recapitulates experimental data, and provides valuable insights into the metabolic response of C. ljungdahlii to genetic perturbations under various growth conditions. Thus, the model will be instrumental in guiding metabolic engineering of C. ljungdahlii for the industrial production of biocommodities and biofuels.

}, keywords = {Acetates, Biofuels, Clostridium, Genome, Metabolic Engineering, Metabolic Networks and Pathways}, issn = {1475-2859}, doi = {10.1186/1475-2859-12-118}, author = {Nagarajan, Harish and Sahin, Merve and Nogales, Juan and Latif, Haythem and Lovley, Derek R and Ebrahim, Ali and Zengler, Karsten} } @article {3140, title = {Characterizing the interplay between multiple levels of organization within bacterial sigma factor regulatory networks.}, journal = {Nat Commun}, volume = {4}, year = {2013}, month = {2013}, pages = {1755}, abstract = {

Bacteria contain multiple sigma factors, each targeting diverse, but often overlapping sets of promoters, thereby forming a complex network. The layout and deployment of such a sigma factor network directly impacts global transcriptional regulation and ultimately dictates the phenotype. Here we integrate multi-omic data sets to determine the topology, the operational, and functional states of the sigma factor network in Geobacter sulfurreducens, revealing a unique network topology of interacting sigma factors. Analysis of the operational state of the sigma factor network shows a highly modular structure with σ(N) being the major regulator of energy metabolism. Surprisingly, the functional state of the network during the two most divergent growth conditions is nearly static, with sigma factor binding profiles almost invariant to environmental stimuli. This first comprehensive elucidation of the interplay between different levels of the sigma factor network organization is fundamental to characterize transcriptional regulatory mechanisms in bacteria.

}, keywords = {Energy Metabolism, Gene Expression Profiling, Gene Expression Regulation, Bacterial, Gene Regulatory Networks, Genes, Bacterial, Geobacter, Models, Biological, Regulon, Sigma Factor}, issn = {2041-1723}, doi = {10.1038/ncomms2743}, author = {Qiu, Yu and Nagarajan, Harish and Embree, Mallory and Shieu, Wendy and Abate, Elisa and Ju{\'a}rez, Katy and Cho, Byung-Kwan and Elkins, James G and Nevin, Kelly P and Barrett, Christian L and Lovley, Derek R and Palsson, Bernhard O and Zengler, Karsten} } @article {441, title = {A c-type cytochrome and a transcriptional regulator responsible for enhanced extracellular electron transfer in Geobacter sulfurreducens revealed by adaptive evolution.}, journal = {Environ Microbiol}, volume = {13}, year = {2011}, month = {2011 Jan}, pages = {13-23}, abstract = {The stimulation of subsurface microbial metabolism often associated with engineered bioremediation of groundwater contaminants presents subsurface microorganisms, which are adapted for slow growth and metabolism in the subsurface, with new selective pressures. In order to better understand how Geobacter species might adapt to selective pressure for faster metal reduction in the subsurface, Geobacter sulfurreducens was put under selective pressure for rapid Fe(III) oxide reduction. The genomes of two resultant strains with rates of Fe(III) oxide reduction that were 10-fold higher than those of the parent strain were resequenced. Both strains contain either a single base-pair change or a 1 nucleotide insertion in a GEMM riboswitch upstream of GSU1761, a gene coding for the periplasmic c-type cytochrome designated PgcA. GSU1771, a gene coding for a SARP regulator, was also mutated in both strains. Introduction of either of the GEMM riboswitch mutations upstream of pgcA in the wild-type increased the abundance of pgcA transcripts, consistent with increased expression of pgcA in the adapted strains. One of the mutations doubled the rate of Fe(III) oxide reduction. Interruption of GSU1771 doubled the Fe(III) oxide reduction rate. This was associated with an increased in expression of pilA, the gene encoding the structural protein for the pili thought to function as microbial nanowires. The combination of the GSU1771 interruption with either of the pgcA mutations resulted in a strain that reduced Fe(III) as fast as the comparable adapted strain. These results suggest that the accumulation of a small number of beneficial mutations under selective pressure, similar to that potentially present during bioremediation, can greatly enhance the capacity for Fe(III) oxide reduction in G. sulfurreducens. Furthermore, the results emphasize the importance of the c-type cytochrome PgcA and pili in Fe(III) oxide reduction and demonstrate how adaptive evolution studies can aid in the elucidation of complex mechanisms, such as extracellular electron transfer.}, keywords = {Adaptation, Physiological, Biodegradation, Environmental, Cytochrome c Group, DNA, Bacterial, Electron Transport, Evolution, Molecular, Ferric Compounds, Gene Expression Profiling, Genes, Bacterial, Genome, Bacterial, Geobacter, Mutagenesis, Insertional, Mutation, Oligonucleotide Array Sequence Analysis, Oxidation-Reduction, Riboswitch, Sequence Analysis, DNA}, issn = {1462-2920}, doi = {10.1111/j.1462-2920.2010.02302.x}, author = {Tremblay, Pier-Luc and Summers, Zarath M and Glaven, Richard H and Nevin, Kelly P and Zengler, Karsten and Barrett, Christian L and Qiu, Yu and Palsson, Bernhard O and Lovley, Derek R} }