To gain insight into the role of peroxynitrite in plants, we meas

To gain insight into the role of peroxynitrite in plants, we measured its accumulation during the hypersensitive response in Arabidopsis thaliana using the specific peroxynitrite-sensitive fluorescent dye HKGreen-2 in a leaf disc assay. The avirulent pathogen Pseudomonas syringae pv. tomato, carrying the AvrB gene (Pst AvrB), induced a strong increase in fluorescence

3-4 h post-infiltration (hpi) which peaked 7-8 hpi. The increase in HKGreen-2 fluorescence was inhibited by co-injecting the peroxynitrite-scavenger urate together with PS-341 in vitro the pathogen, and was almost completely eliminated by co-infiltrating urate with HKGreen-2, confirming that HKGreen-2 fluorescence in planta is induced specifically by peroxynitrite. This establishes a link between peroxynitrite

synthesis and tyrosine nitration, and we therefore propose that peroxynitrite buy Epacadostat transduces the NO signal by modifying protein functions. (C) 2011 Elsevier Inc. All rights reserved.”
“Rooted phylogenetic networks are used to model non-treelike evolutionary histories. Such networks are often constructed by combining trees, clusters, triplets or characters into a single network that in some well-defined sense simultaneously represents them all. We review these four models and investigate how they are related. Motivated by the parsimony principle, one often aims to construct a network that contains as few reticulations (non-treelike evolutionary events) as possible. In general, the model chosen influences the minimum number of reticulation events required. However, when one obtains the input data from two binary (i.e. fully resolved) trees, we show that the minimum number of reticulations is independent of the model. The number of reticulations necessary to represent the trees, triplets, clusters (in the softwired

sense) and characters (with unrestricted multiple crossover recombination) are all equal. Furthermore, we show that these results also hold when not the number of reticulations find more but the level of the constructed network is minimised. We use these unification results to settle several computational complexity questions that have been open in the field for some time. We also give explicit examples to show that already for data obtained from three binary trees the models begin to diverge. (C) 2010 Elsevier Ltd. All rights reserved.”
“Nitric oxide (NO(center dot)) is a toxin, but bacteria have evolved various strategies to detoxify this harmful radical to nitrate, the best known mechanism being the dioxygenase reaction of bacterial flavohaemoglobins. In addition, globins can form oxoferryl (Fe(IV)=O) species through the reaction of the ferric haem with hydrogen peroxide: these species can also detoxify NO(center dot) to nitrite and nitrate. During infection, Compylo-bacter is exposed to both NO(center dot) and hydrogen peroxide.

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