In vitro propagation and micromorphological studies of Cleome gynandra: a C4 model plant closely related to Arabidopsis thaliana

We developed a micropropagation protocol for Cleome gynandra, a C₄ model plant with medicinal importance. Surface-sterilized nodal segments obtained from 1 to 2-month-old field grown plant were used as explants for culture establishment and plant regeneration. Multiple shoots differentiated through bud breaking on Murashige and Skoog (MS) medium with different concentrations of benzyladenine (BA) and kinetin (Kin). The optimum shoot differentiation occurred on medium with 1.5 mg l^?1 BA. Out of various concentrations and combinations of cytokinins and auxins, MS medium containing 0.5 mg l^?1 BA and 0.1 mg l^?1 IAA (indole-3-acetic acid) was found best for shoot multiplication. However, the differentiated shoots exhibited hyperhydration, leaf curling and early leaf fall during subculturing. To overcome these problems, regenerated shoots were transferred to the modified MS medium with reduced nitrates (825 mg l^?1 NH₄NO₃ and 950 mg l^?1 KNO₃) and 100 mg l^?1 (NH₄)₂SO₄. The micropropagated shoots were rooted (i) in vitro on one-fourth strength of MS salts with 0.25 mg l^?1 each of IBA (indole-3 butyric acid) and NOA (2-naphthoxyacetic acid) + 100 mg l^?1 activated charcoal, and (ii) ex vitro, by treating the shoot base(s) with 200 mg l^?1 of IBA for 3 min and transferred to soilrite moistened with one-fourth strength of MS macro salts in culture bottles. The plants were hardened in the greenhouse with 85 % survival rate. Micromorphological studies of the plants were conducted during hardening with reference to development and changes in vein spacing, glandular trichome and stomata. In comparison to leaves under in vitro condition, higher density of veins and glandular trichomes was observed in the leaves of hardened plants. In addition, stomata became functional during hardening which were non-functional under in vitro condition.     

A familiar motif in a new context: the catalytic mechanism of hydroxyisourate hydrolase

Hydroxyisourate hydrolase is a recently discovered enzyme that participates in the ureide pathway in soybeans. Its role is to catalyze the hydrolysis of 5-hydroxyisourate, the product of the urate oxidase reaction. There is extensive sequence homology between hydroxyisourate hydrolase and retaining glycosidases; in particular, the conserved active site glutamate residues found in retaining glycosidases are present in hydroxyisourate hydrolase as Glu 199 and Glu 408. However, experimental investigation of their roles, as well as the catalytic mechanism of the enzyme, have been precluded by the instability of 5-hydroxyisourate. Here, we report that diaminouracil serves as a slow, alternative substrate and can be used to investigate catalysis by hydroxyisourate hydrolase. The activity of the E199A protein was reduced 400-fold relative to wild-type, and no activity could be detected with the E408A mutant. Steady-state kinetic studies of the wild-type protein revealed that the pH-dependence of V(max) and V/K describe bell-shaped curves, consistent with the hypothesis that catalysis requires two ionizable groups in opposite protonation states. Addition of 100 mM azide accelerated the reaction catalyzed by the wild-type enzyme 8-fold and the E199A mutant 20-fold but had no effect on the E408A mutant. These data suggest that Glu 408 acts as a nucleophile toward the substrate forming a covalent anhydride intermediate, and Glu 199 facilitates formation of the intermediate by serving as a general acid and then activates water for hydrolysis of the intermediate. Thus, the mechanism of hydroxyisourate hydrolase is strikingly similar to that of retaining glycosidases, even though it catalyzes hydrolysis of an amide bond.     

Basic microarray analysis: grouping and feature reduction

DNA microarray technologies are useful for addressing a broad range of biological problems - including the measurement of mRNA expression levels in target cells. These studies typically produce large data sets that contain measurements on thousands of genes under hundreds of conditions. There is a critical need to summarize this data and to pick out the important details. The most common activities, therefore, are to group together microarray data and to reduce the number of features. Both of these activities can be done using only the raw microarray data (unsupervised methods) or using external information that provides labels for the microarray data (supervised methods). We briefly review supervised and unsupervised methods for grouping and reducing data in the context of a publicly available suite of tools called CLEAVER, and illustrate their application on a representative data set collected to study lymphoma.     

Whole-genome expression analysis: challenges beyond clustering.

Measuring the expression of most or all of the genes in a biological system raises major analytic challenges. A wealth of recent reports uses microarray expression data to examine diverse biological phenomena - from basic processes in model organisms to complex aspects of human disease. After an initial flurry of methods for clustering the data on the basis of similarity, the field has recognized some longer-term challenges. Firstly, there are efforts to understand the sources of noise and variation in microarray experiments in order to increase the biological signal. Secondly, there are efforts to combine expression data with other sources of information to improve the range and quality of conclusions that can be drawn. Finally, techniques are now emerging to reconstruct networks of genetic interactions in order to create integrated and systematic models of biological systems.