An oxidative and salinity stress induced peroxisomal ascorbate peroxidase from Avicennia marina: Molecular and functional characterization

APX (EC, 1.11.1.11) has a key role in scavenging ROS and in protecting cells against their toxic effects in algae and higher plants. A cDNA encoding a peroxisomal ascorbate peroxidase, Am-pAPX1, was isolated from salt stressed leaves of Avicennia marina (Forsk.) Vierh. by EST library screening and its expression in the context of various environmental stresses was investigated. Am-pAPX1 contains an ORF of 286 amino acids coding for a 31.4kDa protein. The C-terminal region of the Am-pAPX1 ORF has a putative transmembrane domain and a peroxisomal targeting signal (RKKMK), suggesting peroxisomal localization. The peroxisomal localization of Am-pAPX1 was confirmed by stable transformation of the GFP-(Ala)(10)-Am-pAPX1 fusion in tobacco. RNA blot analysis revealed that Am-pAPX1 is expressed in response to salinity (NaCl) and oxidative stress (high intensity light, hydrogen peroxide application and excess iron). The isolated genomic clone of Am-pAPX1 was found to contain nine exons. A fragment of 1616bp corresponding to the 5' upstream region of Am-pAPX1 was isolated by TAIL-PCR. In silico analysis of this sequence reveals the presence of putative light and abiotic stress regulatory elements.     

Novel non-glycerol-based cytofectins with lactic acid-derived head groups.

We report herein the design, synthesis, and transfection biology of a novel series of non-glycerol-based cationic lipids with lactic acid-derived head groups The synthetic procedure adopted herein for preparing 1-hydroxy-prop-2-yl head-group-based monocationic transfection lipids 1-7 is fairly straightforward and potentially applicable in designing other cationic lipids with lactic acid-derived head groups. A striking anchor-length dependency was observed in NIH3T3 cells in the sense that except lipid 4, all the other lipids were essentially transfection-inefficient. Ethidium bromide assay for the lipid:DNA interactions is consistent with the general observation that significant lipid:DNA interactions do not guarantee on improved transfection efficiency cationic lipid mediated gene delivery. Given its remarkable transfection properties and low cellular toxicity, lipid 4 is likely to find future use in the area of liposomal gene delivery.     

Spectrally specific temporal analyses of spike-train responses to complex sounds: A unifying framework

Significant scientific and translational questions remain in auditory neuroscience surrounding the neural correlates of perception. Relating perceptual and neural data collected from humans can be useful; however, human-based neural data are typically limited to evoked far-field responses, which lack anatomical and physiological specificity. Laboratory-controlled preclinical animal models offer the advantage of comparing single-unit and evoked responses from the same animals. This ability provides opportunities to develop invaluable insight into proper interpretations of evoked responses, which benefits both basic-science studies of neural mechanisms and translational applications, e.g., diagnostic development. However, these comparisons have been limited by a disconnect between the types of spectrotemporal analyses used with single-unit spike trains and evoked responses, which results because these response types are fundamentally different (point-process versus continuous-valued signals) even though the responses themselves are related. Here, we describe a unifying framework to study temporal coding of complex sounds that allows spike-train and evoked-response data to be analyzed and compared using the same advanced signal-processing techniques. The framework uses a set of peristimulus-time histograms computed from single-unit spike trains in response to polarity-alternating stimuli to allow advanced spectral analyses of both slow (envelope) and rapid (temporal fine structure) response components. Demonstrated benefits include: (1) novel spectrally specific temporal-coding measures that are less confounded by distortions due to hair-cell transduction, synaptic rectification, and neural stochasticity compared to previous metrics, e.g., the correlogram peak-height, (2) spectrally specific analyses of spike-train modulation coding (magnitude and phase), which can be directly compared to modern perceptually based models of speech intelligibility (e.g., that depend on modulation filter banks), and (3) superior spectral resolution in analyzing the neural representation of nonstationary sounds, such as speech and music. This unifying framework significantly expands the potential of preclinical animal models to advance our understanding of the physiological correlates of perceptual deficits in real-world listening following sensorineural hearing loss.     

Diversity and Species Relationship in Pearl Millet (Pennisetum typhoides) and Related Species

Thirteen accessions of pearl millet (Pennisetum typhoides (L) Leeke) collected from different states of India and eight wild species of the genus Pennisetum across the world were analyzed for genetic diversity using AFLP markers. A combined analysis of eight primer combinations showed 35% polymorphism among P. typhoides accessions while analysis with five primer combinations showed 99% polymorphism among the wild species. The dendrogram constructed for the P. typhoides accessions based on the UPGMA method revealed two major clusters with samples from Gujarat forming a separate cluster from the rest of the samples. Principal component analysis of the same data set revealed similar results with the first principal component accounting for 65% of the total variation. The percentage of rare and common alleles contributing to the diversity in the sample was analyzed using the Shannon Weiner diversity index. The SW index revealed that the samples from Gujarat contributed significantly to the overall diversity among the accessions. Among accessions of each geographical region, considerable variation was revealed by SW index with samples from Tamil Nadu being most polymorphic. The genetic diversity in the accessions could be utilized for future breeding work. The dendrogram constructed for the wild species revealed the extent of genetic diversity among them. Analysis with one primer combination showed P. typhoides being closer to P. mollissimum than to the other analyzed species.     

Theoretical investigation on the kinetics and branching ratio of the gas phase reaction of sevoflurane with Cl atom

The present work deals with the theoretical investigation on the Cl initiated H-atom abstraction reaction of sevoflurane, (CF₃)₂CHOCH₂F. A dual-level procedure has been adopted for studying the kinetics of the reaction. Geometrical optimization and frequency calculation were performed at DFT(BHandHLYP)/6-311G(d,p) while single-point energy calculation was made at CCSD(T)/6-311G(d,p) level of theory. The intrinsic reaction coordinate (IRC) calculation has also been performed to confirm the smooth transition from the reactant to product through the respective transition state. The rate constants were calculated using conventional transition state theory (TST). It has been found that 99 % of the reaction proceeded via the H-atom abstraction from the –CH₂F end of the sevoflurane. The rate constant of the dominant path is found to be 1.13 × 10^?13 cm³ molecule^?1 s^?1. This is in excellent agreement with the reported experimental rate constant of 1.10 × 10^?13 cm³ molecule^?1 s^?1 obtained by relative rate method using FTIR/Smog chamber and LP/LIF techniques.     

The DNA Replication,Repair, and Recombination Pathway Genes Modulating Yield and Stress Tolerance Traits in Chickpea

DNA replication, repair, and recombination (DRRR) are the fundamental processes required for faithful transmission of genetic information within and between generations. The DRRR genes protect the cells from potential mutations and damage during the developmental phases and stress conditions. Thus, these genes indirectly regulate diverse important agronomic traits in a crop plant. A genome-wide survey of six DRRR pathway genes, namely, DNA replication, Base Excision Repair, Nucleotide Excision Repair, Homologous Recombination, Mismatch Excision Repair, and Non-Homologous End-Joining, identified 157 DRRR genes in chickpea. Phylogenetic analysis of these genes within the legume clades and model plant Arabidopsis identified 42 conserved DRRR genes exhibiting clade-specific evolutionary patterns. Integrating the gene-based association mapping with differential expression profiling identified the natural alleles of the potential DRRR genes, primarily regulating flowering and maturation time and involved in drought tolerance of chickpea. Identifying and understanding DRRR genes’ roles in regulating yield and stress tolerance traits in a vital grain legume like chickpea is requisite for its future crop improvement endeavors. Manipulation of promising functionally relevant DRRR genes will pave the way for simultaneous improvement in multiple beneficial agronomic traits in chickpea.

     

Variable-Selection Emerges on Top in Empirical Comparison of Whole-Genome Complex-Trait Prediction Methods

Accurate prediction of complex traits based on whole-genome data is a computational problem of paramount importance, particularly to plant and animal breeders. However, the number of genetic markers is typically orders of magnitude larger than the number of samples (p >> n), amongst other challenges. We assessed the effectiveness of a diverse set of state-of-the-art methods on publicly accessible real data. The most surprising finding was that approaches with feature selection performed better than others on average, in contrast to the expectation in the community that variable selection is mostly ineffective, i.e. that it does not improve accuracy of prediction, in spite of p >> n. We observed superior performance despite a somewhat simplistic approach to variable selection, possibly suggesting an inherent robustness. This bodes well in general since the variable selection methods usually improve interpretability without loss of prediction power. Apart from identifying a set of benchmark data sets (including one simulated data), we also discuss the performance analysis for each data set in terms of the input characteristics.