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The role played by Roseobacter-like bacteria in oxidation and cycling of Mn(II) in coastal environments is examined. The results have shown that Roseobacter-like bacteria not only play a previously unrecognized role in Mn(II) oxidation and cycling in coastal surface waters but also induce a novel photooxidation pathway that provides an alternative means of Mn(II) oxidation in the photic zone.

Research has been conducted on the bacterial spores and their possible impact on the surrounding chemical environments. The isolation of the spore-forming bacteria from the coastal marine sediments has been performed in investigating the spores' activities in the environment and the results are discussed.

Research has been conducted on the multicopper oxidase gene cumA from Pseudomonas putida strain GB-1. The ability of the Pseudomonas genus to oxidize Mn(II) has been investigated via the phylogenetic analyses of CumA and 16S rRNA sequences from Mn(II)-oxidizing and non-Mn(II)-oxidizing strains.

Research has been conducted on the yellow-pigmented marine bacterium. The isolation and characterization of this bacterium from the surface sediments of San Diego Bay, San Diego, California, has been carried out and its features have been described.

Results show that Pantoea agglomerans SP1 is a facultative anaerobe capable of growing by reducing iron (III), manganese (IV) and other metals. Data further indicate that coupling the oxidation of acetatate or hydrogen to metal reduction is widespread in the bacteria living in the suboxic sedimentary environments.

Branch (2009. Can. J. Fish. Aquat. Sci. 66: 126-132) described the two most common catch equation formulations in stock assessment models: the continuous (Baranov) one, which represents fishing mortality as an instantaneous rate, F, and the discrete one, in which it is represented as an exploitation rate, u. He claimed that the continuous formulation is preferable at high fishing mortality where a fish could encounter multiple sets of gear within a year. This claim is wrong for two reasons. First, it is based on the false supposition that the discrete catch equations require the assumption that fish encounter at most only one set of fishing gear in a year. Second, it is not possible to determine, for a specific stock assessment, whether one formulation is preferable to another solely on the basis of information about the fishery. The appropriate way to make this decision is to see which fits the data better. Resume: Branch (2009. J. can. sci. halieut. aquat. 66: 126-132) a decrit les deux formulations de l'equation des captures les plus usitees dans les modeles d'evaluation des stocks, soit la continue (de Baranov) qui represente la mortalite due a la peche comme un taux instantane, F, et la discontinue qui la represente comme un taux d'exploitation, u. Il soutient que la formulation continue est preferable aux forts taux de mortalite lorsque le poisson peut faire face a plusieurs ensembles d'engins de peche pendant une annee. Cette assertion est fausse pour deux raisons. D'abord, elle est basee sur la presomption erronee que les equations discontinues des captures presupposent que les poissons rencontrent au plus un ensemble d'engins de peche au cours d'une annee. Deuxiemement, il est impossible de determiner, pour une evaluation de stock donnee, si l'une des formulations est preferable a l'autre seulement d'apres les renseignements sur la peche. La facon approprie e d'arriver a cette decision est de voir laquelle s'ajuste le mieux aux donnees. [Traduit par la Redaction], ********** Branch (2009a) (with corrections in Branch 2009b) described the two most commonly used catch equation formulations in stock assessment models as follows. The continuous (or Baranov) formulation, which dates [...]

Research describes the development and usage of a DNA microarray method for the detection and quantification of functional genes in the environment as exemplified by denitrification gene nirS. Data indicate that microarray hybridization patterns differed between sediment samples, suggesting differences in the composition of the denitrifiers in relation to environmental gradient of salinity, inorganic nitrogen, and organic carbon.