The BRENDA (BRaunschweig ENzyme Database, http://www.brenda-enzymes.org) enzyme information system is the main collection of enzyme functional and property data for the scientific community. The majority of the data are manually extracted from the primary literature. The content covers information on function, structure, occurrence, preparation and application of enzymes as well as properties of mutants and engineered variants. The number of manually annotated references increased by 30% to more than 100 000, the number of ligand structures by 45% to almost 100 000. New query, analysis and data management tools were implemented to improve data processing, data presentation, data input and data access. BRENDA now provides new viewing options such as the display of the statistics of functional parameters and the 3D view of protein sequence and structure features. Furthermore a ligand summary shows comprehensive information on the BRENDA ligands. The enzymes are linked to their respective pathways and can be viewed in pathway maps. The disease text mining part is strongly enhanced. It is possible to submit new, not yet classified enzymes to BRENDA, which then are reviewed and classified by the International Union of Biochemistry and Molecular Biology. A new SBML output format of BRENDA kinetic data allows the construction of organism-specific metabolic models.

The BRENDA (BRaunschweig ENzyme DAtabase) enzyme portal (http://www.brenda-enzymes.org) is the main information system of functional biochemical and molecular enzyme data and provides access to seven interconnected databases. BRENDA contains 2.7 million manually annotated data on enzyme occurrence, function, kinetics and molecular properties. Each entry is connected to a reference and the source organism. Enzyme ligands are stored with their structures and can be accessed via their names, synonyms or via a structure search. FRENDA (Full Reference ENzyme DAta) and AMENDA (Automatic Mining of ENzyme DAta) are based on text mining methods and represent a complete survey of PubMed abstracts with information on enzymes in different organisms, tissues or organelles. The supplemental database DRENDA provides more than 910 000 new EC number–disease relations in more than 510 000 references from automatic search and a classification of enzyme–disease-related information. KENDA (Kinetic ENzyme DAta), a new amendment extracts and displays kinetic values from PubMed abstracts. The integration of the EnzymeDetector offers an automatic comparison, evaluation and prediction of enzyme function annotations for prokaryotic genomes. The biochemical reaction database BKM-react contains non-redundant enzyme-catalysed and spontaneous reactions and was developed to facilitate and accelerate the construction of biochemical models.

All methanogenic Archaea examined to date rely on methanogenesis as their sole means of energy conservation. Among these are ones that use carbon monoxide as a growth substrate, producing methane via a pathway that involves hydrogen as an intermediate. To further examine the role of hydrogen in this process, we tested the ability of Methanosarcina acetivorans C2A, a metabolically versatile methanogen devoid of significant hydrogen metabolism, to use CO as a growth substrate. M. acetivorans grew on CO to high cell densities (Ϸ1 ؋ 10 8 per ml) with a doubling time of Ϸ24 h. Surprisingly, acetate and formate, rather than methane, were the major metabolic end products as shown by 13 C NMR studies and enzymatic analysis of culture supernatants. Methane formation surpassed acetate͞formate formation only when the cultures entered stationary growth phase, strongly suggesting that M. acetivorans conserves energy by means of this acetogenic and formigenic process. Resting cell experiments showed that methane production decreased linearly with increasing CO partial pressures, consistent with inhibition of methanogenesis by CO. Transposoninduced M. acetivorans mutants with lesions in the operon encoding phosphotransacetylase and acetate kinase failed to use either acetate or CO as growth substrates, indicating that these enzymes are required for both aceticlastic methanogenesis and carboxidotrophic acetogenesis. These findings greatly extend our concept of energy conservation and metabolic versatility in the methanogenic Archaea.acetogenesis ͉ methanogenesis T he only known pathway for energy conservation in methanogenic Archaea is methanogenesis. In these organisms, methane is produced either by the stepwise reduction of CO 2 via cofactor-bound intermediates or by transfer of methyl groups from methylated compounds to a coenzyme and subsequent reduction to methane (reviewed in refs. 1-3). Although most methanogens are able to reduce CO 2 by using H 2 as a reductant, only members of the Methanosarcinales use acetate and methylated compounds, such as methanol or methylamines, for growth as well. These compounds serve as both electron donors and acceptors for the methanogenic process. Also, two methanogenic species have been shown to use carbon monoxide (CO) as a methanogenic growth substrate, whereas Methanosphaera species are able to grow on the combination of methanol and H 2 . Regardless of the substrate, methane and CO 2 are the only major products of all methanogenic bioconversions; although some other products occasionally have been detected, these are generated only in minor amounts (4-8). Thus, all methanogens examined to date are obligate methanogens.Microbial CO consumption is an environmentally important process that fuels the reentry of CO into the global carbon cycle and helps maintain atmospheric CO below toxic levels (9). CO oxidation is a property of numerous bacterial genera, both aerobic and anaerobic. Phototrophic anaerobes such as Rhodocyclus gelatinosus and Rhodospirillum rubrum couple CO oxidation, whic...

Despite its toxicity for the majority of living matter on our planet, numerous microorganisms, both aerobic and anaerobic, can use carbon monoxide (CO) as a source of carbon and/or energy for growth. The capacity to employ carboxidotrophic energy metabolism anaerobically is found in phylogenetically diverse members of the Bacteria and the Archaea. The oxidation of CO is coupled to numerous respiratory processes, such as desulfurication, hydrogenogenesis, acetogenesis, and methanogenesis. Although as diverse as the organisms capable of it, any CO-dependent energy metabolism known depends on the presence of carbon monoxide dehydrogenase. This review summarizes recent insights into the CO-dependent physiology of anaerobic microorganisms with a focus on methanogenic archaea. Carboxidotrophic growth of Methanosarcina acetivorans, thought to strictly rely on the process of methanogenesis, also involves formation of methylated thiols, formate, and even acetogenesis, and, thus, exemplifies how the beneficial redox properties of CO can be exploited in unexpected ways by anaerobic microorganisms.

Summary A highly efficient method for chromosomal integration of cloned DNA into Methanosarcina spp. was developed utilizing the site-specific recombination system from the Streptomyces phage φC31. Host strains expressing the φC31 integrase gene and carrying an appropriate recombination site can be transformed with non-replicating plasmids carrying the complementary recombination site at efficiencies similar to those obtained with self-replicating vectors. We have also constructed a series of hybrid promoters that combine the highly expressed M. barkeri PmcrB promoter with binding sites for the tetracycline-responsive, bacterial TetR protein. These promoters are tightly regulated by the presence or absence of tetracycline in strains that express the tetR gene. The hybrid promoters can be used in genetic experiments to test gene essentiality by placing a gene of interest under their control. Thus, growth of strains with tetR-regulated essential genes becomes tetracycline-dependent. A series of plasmid vectors that utilize the site-specific recombination system for construction of reporter gene fusions and for tetracycline regulated expression of cloned genes are reported. These vectors were used to test the efficiency of translation at a variety of start codons. Fusions using an ATG start site were the most active, whereas those using GTG and TTG were approximately one half or one fourth as active, respectively. The CTG fusion was 95% less active than the ATG fusion.