DNA binding properties of novel dansylated distamycin analogues in which the fluorophore is directly conjugated to the N-methyl-pyrrole

Polyamides that are structural analogues of the naturally occurring DNA minor groove binding antibiotic distamycin (Dst) are promising candidates as gene modulators. Developing strategies for the large scale screening and monitoring of the cellular distribution of such ligands would aid the faster discovery of molecules, which would have eventual utility in molecular biology and medicine. Attachment of fluorescent tags would be a useful step towards this end. A fundamental question in this connection is whether the tag modifies the DNA binding affinity of the parent compounds. Towards answering this question, we have developed two oligopeptides that bear the dansyl (N, N-dimethylaminonaphthalene sulfonamido fluorophore) coupled directly to the N-terminus of the conjugated N-methylpyrrole carboxamide network, and possess three or four N-methyl pyrrole carboxamide units (abbreviated as Dn3 and Dn4 respectively). DNA binding abilities of these molecules were assessed from fluorescence titration experiments, duplex-DNA T(m) analysis (employing both UV and fluorescence spectroscopy), induced circular dichroism measurements (ICD), salt dependence of ICD and apparent binding constant measurements (K(app)) employing ethidium bromide (EtBr) displacement assay. Both these molecules reported DNA binding in the form of an enhanced fluorescence emission. As judged from the ICD measurements, salt dependence of ICD, T(m) analysis and K(app) measurements, the binding affinities of the molecules that possessed dansyl group at their N-termini were lower than the ones with equivalent number of amide units, but possessed N-methylpyrrole carboxamide unit at their N- termini. These results would have implications in the future design of fluorescent polyamides.     

Purification and characterization of the antimicrobial peptide, ostricacin

An antimicrobial peptide, ostricacin-1, has been purified and characterized from ostrich leukocytes. The peptide has a mass of 4011 and contained 36 residues, including 3 intramolecular cystine disulfide bonds. Ostricacin-1 has a primary sequence homology to the -defensin family and was active at 6.7 g ml^–1 against E. coli and Staphylocccus aureus in vitro.     

Temperature Impacts the Development and Survival of Common Cutworm (Spodoptera litura): Simulation and Visualization of Potential Population Growth in India under Warmer Temperatures through Life Cycle Modelling and Spatial Mapping

The common cutworm, Spodoptera litura, has become a major pest of soybean (Glycine max) throughout its Indian range. With a changing climate, there is the potential for this insect to become an increasingly severe pest in certain regions due to increased habitat suitability. To examine this possibility, we developed temperature-based phenology model for S. litura, by constructing thermal reaction norms for cohorts of single life stages, at both constant and fluctuating temperatures within the ecologically relevant range (15–38°C) for its development. Life table parameters were estimated stochastically using cohort updating and rate summation approach. The model was implemented in the geographic information system to examine the potential future pest status of S. litura using temperature change projections from SRES A₁B climate change scenario for the year 2050. The changes were visualized by means of three spatial indices demonstrating the risks for establishment, number of generations per year and pest abundance according to the temperature conditions. The results revealed that the development rate as a function of temperature increased linearly for all the immature stages of S. litura until approximately 34–36°C, after which it became non-linear. The extreme temperature of 38°C was found lethal to larval and pupal stages of S. litura wherein no development to the next stage occurred. Females could lay no eggs at the extreme low (15°C) and high (> 35°C) test temperatures, demonstrating the importance of optimum temperature in determining the suitability of climate for the mating and reproduction in S. litura. The risk mapping predicts that due to temperature increase under future climate change, much of the soybean areas in Indian states like Madhya Pradesh, Maharashtra and Rajasthan, will become suitable for S. litura establishment and increased pest activity, indicating the expansion of the suitable and favourable areas over time. This has serious implication in terms of soybean production since these areas produce approximately 95% of the total soybeans in India. As the present model results are based on temperature only, and the effects of other abiotic and biotic factors determining the pest population dynamics were excluded, it presents only the potential population growth parameters for S. litura. However, if combined with the field observations, the model results could certainly contribute to gaining insight into the field dynamics of S. litura.     

Disentangling Multidimensional Spatio-Temporal Data into Their Common and Aberrant Responses

With the advent of high-throughput measurement techniques, scientists and engineers are starting to grapple with massive data sets and encountering challenges with how to organize, process and extract information into meaningful structures. Multidimensional spatio-temporal biological data sets such as time series gene expression with various perturbations over different cell lines, or neural spike trains across many experimental trials, have the potential to acquire insight about the dynamic behavior of the system. For this potential to be realized, we need a suitable representation to understand the data. A general question is how to organize the observed data into meaningful structures and how to find an appropriate similarity measure. A natural way of viewing these complex high dimensional data sets is to examine and analyze the large-scale features and then to focus on the interesting details. Since the wide range of experiments and unknown complexity of the underlying system contribute to the heterogeneity of biological data, we develop a new method by proposing an extension of Robust Principal Component Analysis (RPCA), which models common variations across multiple experiments as the lowrank component and anomalies across these experiments as the sparse component. We show that the proposed method is able to find distinct subtypes and classify data sets in a robust way without any prior knowledge by separating these common responses and abnormal responses. Thus, the proposed method provides us a new representation of these data sets which has the potential to help users acquire new insight from data.     

Molecular characterization of allelic variation in spontaneous brown midrib mutants of sorghum (Sorghum bicolor (L.) Moench)

Modification of lignin composition and content are important to enhance the saccharification potential of lignocellulosic biomass. Brown midrib (bmr) mutants with altered lignin and enhanced glucose yields are a valuable resource for modification of the lignin biosynthetic pathway in sorghum (Sorghum bicolor (L.) Moench). Of the 38 bmr mutants reported in sorghum, some have been classified into four independent groups, namely bmr2, bmr6, bmr12 and bmr19, based on the allelic test, and a few have been characterized at the molecular level. The bmr2, bmr6 and bmr12 groups have mutations that impair 4-coumarate:coenzyme A ligase (4CL), cinnamyl alcohol dehydrogenase (CAD2) and caffeic O-methyltransferase (COMT), respectively. The molecular basis of bmr19 is unknown. In the present study, four spontaneous bmr mutants of sorghum were analyzed for allelic variation at two candidate gene loci. cDNAs of CAD2 and COMT genes were cloned and sequenced from these mutants. Sequence analysis revealed that two of these mutants, IS23789 and IS23253, share a new allele of CAD2. These mutants have a G-to-C transversion at position 3699 of the genomic sequence that leads to glycine-to-arginine (G191R) substitution in the CAD2 protein sequence. This mutation lies in the highly conserved glycine-rich motif ¹⁸⁸G(X)GGV(L)G¹⁹³ that participates in the binding of the pyrophosphate group of NADP⁺ cofactor and hence might impair the activity of CAD2. Phloroglucinol staining of midribs of these mutants also showed a dark wine-red color that is characteristic of the bmr6 group. These two mutants can be distinguished by an intron length polymorphic marker developed based on the COMT gene sequence in this study. Mutant IS23549, which has also been assigned to the bmr6 group, was found to have another new allele with alanine-to-valine (A164V) substitution in CAD2. Alanine-164 is highly conserved among MDR proteins in plants and hence may be necessary for the activity of the enzyme. In mutant IS11861, there was no mutation that led to a change in amino acid in CAD2, while a threonine-to-serine (T302S) substitution was found in COMT. This single nucleotide polymorphism (SNP) at position 2645 in the COMT gene was converted into a cleaved amplified polymorphic sequence marker that can be used for its identification. In addition, additional SNP- and/or indel-based markers were developed, which can be used for exploiting these alleles in the molecular breeding of sorghum for dedicated bioenergy feedstock.     

Unfolded protein response during cardiovascular disorders: a tilt towards pro-survival and cellular homeostasis

Molecular and Cellular Biochemistry - The endoplasmic reticulum (ER) is an organelle that orchestrates the production and proper assembly of an extensive types of secretory and membrane proteins....