A new approach to touch down method using betaine as co-solvent for increased specificity and intensity of GC rich gene amplification

Tissue specific genes that contain high GC segments are difficult to amplify by standard PCR. We report an improved method for successful amplification of gene segment that has >70% GC base pairs. This new method of touch down PCR differed by having an initial annealing temperature (Ta) 1.5°C below the primers melting temperature that descended 0.2°C per cycle for 20 cycles and continued thereafter at fixed Ta for next 15 cycles. Different co-solvents were tested with this method to improve the result and betaine proved better than the other co-solvents. This new method is economical, fast and specific in amplifying GC rich region of other genes also.     

Vanadium-dependent iodoperoxidases in Laminaria digitata, a novel biochemical function diverging from brown algal bromoperoxidases

The brown alga Laminaria digitata features a distinct vanadium-dependent iodoperoxidase (vIPO) activity, which has been purified to electrophoretic homogeneity. Steady-state analyses at pH 6.2 are reported for vIPO (K _m ^I– =2.5 mM; k _cat ^I– =462 s^–1) and for the previously characterised vanadium-dependent bromoperoxidase in L. digitata (K _m ^I– =18.1 mM; k _cat ^I– =38 s^–1). Although the vIPO enzyme specifically oxidises iodide, competition experiments with halides indicate that bromide is a competitive inhibitor with respect to the fixation of iodide. A full-length complementary ANA (cDNA) was cloned and shown to be actively transcribed in L. digitata and to encode the vIPO enzyme. Mass spectrometry analyses of tryptic digests of vIPO indicated the presence of at least two very similar proteins, in agreement with Southern analyses showing that vIPOs are encoded by a multigenic family in L. digitata. Phylogenetic analyses indicated that vIPO shares a close common ancestor with brown algal vanadium-dependent bromoperoxidases. Based on a three-dimensional structure model of the vIPO active site and on comparisons with those of other vanadium-dependent haloperoxidases, we propose a hypothesis to explain the evolution of strict specificity for iodide in L. digitata vIPO.The nucleotide sequence reported in this paper has been submitted to the EBI Data Bank with accession no. AJ619804.     

Prediction of GPCR-G protein coupling specificity using features of sequences and biological functions

Understanding the coupling specificity between G protein-coupled receptors （GPCRs） and specific classes of G proteins is important for further elucidation of receptor functions within a cell. Increasing information on GPCR sequences and the G protein family would facilitate prediction of the coupling properties of GPCRs. In this study, we describe a novel approach for predicting the coupling specificity between GPCRs and G proteins. This method uses not only GPCR sequences but also the functional knowledge generated by natural language processing, and can achieve 92.2% prediction accuracy by using the C4.5 algorithm. Furthermore, rules related to GPCR-G protein coupling are generated. The combination of sequence analysis and text mining improves the prediction accuracy for GPCR-G protein coupling specificity, and also provides clues for understanding GPCR signaling.     

Interaction of pro-and eukaryotic DNA repair enzymes with oligodeoxyribonucleotides containing clustered lesions

A study was made of the interaction of 8-oxoguanine-DNA glycosylases of Escherichia coli (Fpg) and human (OGG1), as well as apurinic/apyrimidinic endonucleases of yeast (Apn1) and E. coli (Nfo), with oligodeoxyribonucleotides containing 8-oxoguaine (oxoG) and tetrahydrofuran (F, a stable analog of an apurinic site) separated by various numbers of nucleotides. Inhibitor analysis showed that the affinity of Fgp for single-stranded DNA ligands is virtually independent of the relative positions of oxoG and F. K _M and k _cat were determined for all the four enzymes and all double-stranded substrates studied. The effect of the second lesion strongly depended both on the relative position of the lesion and the enzyme of interest. The highest drop in the affinity of Fpg and OGG1 for the substrate (1.6-to 148-fold) and in the reaction rate (4.8-to 58-fold) was recorded for the oligonucleotides in which F was immediately 3′ or 5′ of oxoG. Introduction of the second lesion barely affected K _M for nucleases Apn1 and Nfo. The reaction rate was five-to tenfold lower for the substrates containing two adjacent lesions. For all enzymes studied, an increase in the distance between two lesions in double-stranded DNA decreased their contribution to K _M and k _cat.     

Prediction of methylated CpGs in DNA sequences using a support vector machine

DNA methylation plays a key role in the regulation of gene expression. The most common type of DNA modification consists of the methylation of cytosine in the CpG dinucleotide. At the present time, there is no method available for the prediction of DNA methylation sites. Therefore, in this study we have developed a support vector machine (SVM)-based method for the prediction of cytosine methylation in CpG dinucleotides. Initially a SVM module was developed from human data for the prediction of human-specific methylation sites. This module achieved a MCC and AUC of 0.501 and 0.814, respectively, when evaluated using a 5-fold cross-validation. The performance of this SVM-based module was better than the classifiers built using alternative machine learning and statistical algorithms including artificial neural networks, Bayesian statistics, and decision trees. Additional SVM modules were also developed based on mammalian- and vertebrate-specific methylation patterns. The SVM module based on human methylation patterns was used for genome-wide analysis of methylation sites. This analysis demonstrated that the percentage of methylated CpGs is higher in UTRs as compared to exonic and intronic regions of human genes. This method is available on line for public use under the name of Methylator at http://bio.dfci.harvard.edu/Methylator/.     

Indirect nontarget effects of host-specific biological control agents: Implications for biological control

Classical biological control of weeds currently operates under the assumption that biological control agents are safe (i.e., low risk) if they do not directly attack nontarget species. However, recent studies indicate that even highly host-specific biological control agents can impact nontarget species through indirect effects. This finding has profound implications for biological control. To better understand the causes of these interactions and their implications, we evaluate recent case studies of indirect nontarget effects of biological control agents in the context of theoretical work in community ecology. We find that although particular indirect nontarget effects are extremely difficult to predict, all indirect nontarget effects of host specific biological control agents derive from the nature and strength of the interaction between the biological control agent and the pest. Additionally, recent theoretical work suggests that the degree of impact of a biological control agent on nontarget species is proportional to the agent’s abundance, which will be highest for moderately successful control agents. Therefore, the key to safeguarding against indirect nontarget effects of host-specific biological control agents is to ensure the biological control agents are not only host specific, but also efficacious. Biological control agents that greatly reduce their target species while remaining host-specific will reduce their own populations through density-dependent feedbacks that minimize risks to nontarget species.     

Saturation transfer difference NMR studies on substrates and inhibitors of succinic semialdehyde dehydrogenases

Saturation transfer difference (STD) NMR experiments on Escherichia coli and Drosophila melanogaster succinic semialdehyde dehydrogenase (SSADH, EC1.2.1.24) suggest that only the aldehyde forms and not the gem-diol forms of the specific substrate succinic semialdehyde (SSA), of selected aldehyde substrates, and of the inhibitor 3-tolualdehyde bind to these enzymes. Site-directed mutagenesis of the active site cysteine311 to alanine in D. melanogaster SSADH leads to an inactive product binding both SSA aldehyde and gem-diol. Thus, the residue cysteine311 is crucial for their discrimination. STD experiments on SSADH and NAD⁺/NADP⁺ indicate differential affinity in agreement with the respective cosubstrate properties. Epitope mapping by STD points to a strong interaction of the NAD⁺/NADP⁺ adenine H2 proton with SSADH. Adenine H8, nicotinamide H2, H4, and H6 also show STD signals. Saturation transfer to the ribose moieties is limited to the anomeric protons of E. coli SSADH suggesting that the NAD⁺/NADP⁺ adenine and nicotinamide, but not the ribose moieties are important for the binding of the coenzymes.