Identification of novel single nucleotide polymorphisms in the DGAT1 gene of buffaloes by PCR-SSCP

Diacylglycerol O-acyltransferase 1 (DGAT1) is a microsomal enzyme that catalyzes the final step of triglyceride synthesis. The DGAT1 gene is a strong functional candidate for determining milk fat content in cattle. In this work, we used PCR-SSCP (polymerase chain reaction-single-strand conformation polymorphism) and DNA sequencing to examine polymorphism in the region spanning exon 7 to exon 9 of the DGAT1 gene in Murrah and Pandharpuri buffaloes. Three alleles (A, B and C) and four novel single-nucleotide polymorphisms were identified in the buffalo DGAT1 gene. The frequencies of the alleles differed between the two buffalo breeds, with allele C being present in Murrah but not in Pandharpuri buffalo. The allele variation detected in this work may influence DGAT1 expression and function. The results described here could be useful in examining the association between the DGAT1 gene and milk traits in buffalo.     

Climate change and health with an emphasis on interactions with ultraviolet radiation: a review

Climate change is increasingly recognized as a major risk to human health, and health concerns are assuming more importance in international debates on mitigation and adaptation strategies. Health consequences of climate change will occur through direct and indirect routes, and as a result of interactions with other environmental exposures. Heatwaves will become more common and are associated with higher mortality particularly in the elderly and those with pre‐existing cardiovascular and respiratory illnesses. Warmer ambient temperatures will result in more dehydration episodes and increased risks of renal disease and, through effects on pollen seasons, there may be an increase in allergic disease such as asthma and hayfever. Other adverse effects including on air quality, food safety and security and an expanding distribution of some infectious diseases, including vector‐borne diseases, are postulated. A related but separate environmental exposure is that of ultraviolet radiation (UVR). Interactions between climate change and stratospheric ozone (and the causes of ozone depletion) will cause changes to levels of ambient UVR in the future and warmer temperatures are likely to change sun exposure behaviour. Co‐occurring effects on aquatic and terrestrial ecosystems have potential consequences for food safety, quality and supply. Climate change‐related exposures are likely to affect the incidence and distribution of diseases usually considered as caused by UVR exposure; and changes in UVR exposure will modulate the climate change effects on human health. For example, in some regions warmer temperatures due to climate change will encourage more outdoor behaviour, with likely consequences for increasing skin cancer incidence. Although many of the health outcomes of both climate change and the interaction of climate change and UVR exposure are somewhat speculative, there are risks to over‐ or under‐estimations of health risks if synergistic and antagonistic effects of co‐occurring environmental changes are not considered.     

Mosaic down syndrome with a marker: molecular cytogenetic characterization of the marker chromosome

Down syndrome is a complex disorder characterized by well defined and distinctive phenotypic features. Approximately 2-3% of all live-born Down individuals are mosaics. Here we report a boy with suspected Down syndrome showing mosaicism for two different cell lines where one cell line is unexpected. The cytogenetic analysis by G-banding revealed a karyotype of 47 XY+21 [20]/46,X+marker [30]. Further, molecular cytogenetic analysis with spectral karyotyping identified the marker as a derivative of Y chromosome. The delineation of Y chromosomal DNA was done by quantitative real-time PCR and aneuploidy detection by quantitative fluorescence PCR. The Y-short tandem repeats typing was performed to estimate the variation in quantity as well as to find out the extent of deletion on Y chromosome using STR markers. Fluorescence in situ hybridization using Y centromeric probe was also performed to confirm the origin of the Y marker. Further fine mapping of the marker was carried out with three bacterial artificial chromosome clones RP11-20H21, RP11-375P13, RP11-71M14, which defined the hypothetical position of the deletion. In our study we defined the extent of deletion of the marker chromosome and also discussed it in relation with mosaicism. This is the first report of mosaic Down syndrome combined with a second de novo mosaic marker derived from the Y chromosome.     

β-sheet topology prediction with high precision and recall for β and mixed α/β proteins

The prediction of the correct β-sheet topology for pure β and mixed α/β proteins is a critical intermediate step toward the three dimensional protein structure prediction. The predicted beta sheet topology provides distance constraints between sequentially separated residues, which reduces the three dimensional search space for a protein structure prediction algorithm. Here, we present a novel mixed integer linear optimization based framework for the prediction of β-sheet topology in β and mixed α/β proteins. The objective is to maximize the total strand-to-strand contact potential of the protein. A large number of physical constraints are applied to provide biologically meaningful topology results. The formulation permits the creation of a rank-ordered list of preferred β-sheet arrangements. Finally, the generated topologies are re-ranked using a fully atomistic approach involving torsion angle dynamics and clustering. For a large, non-redundant data set of 2102 β and mixed α/β proteins with at least 3 strands taken from the PDB, the proposed approach provides the top 5 solutions with average precision and recall greater than 78%. Consistent results are obtained in the β-sheet topology prediction for blind targets provided during the CASP8 and CASP9 experiments, as well as for actual and predicted secondary structures. The β-sheet topology prediction algorithm, BeST, is available to the scientific community at http://selene.princeton.edu/BeST/.     

Compensated cardiac hypertrophy is characterised by a decline in palmitate oxidation

Cardiac hypertrophy is an independent risk factor in the development of heart failure. However, the cellular mechanisms underlying the transition from compensated hypertrophy to heart failure are incompletely understood. The aim of this study was to investigate changes in myocardial substrate utilisation and function in pressure-overload hypertrophy (using ¹³C NMR spectroscopy) in parallel with alterations in the expression pattern of genes involved in cardiac fatty acid and glucose uptake and oxidation. Left ventricular hypertrophy was induced surgically in Sprague–Dawley rats by inter-renal aortic constriction. Nine weeks later, hearts were perfused in the isovolumic mode with a physiological mixture of substrates including 5 mM 1-¹³C glucose, 1 mM 3-¹³C lactate, 0.1 mM U-¹³C pyruvate and 0.3 mM U-¹³C palmitate and cardiac function monitored simultaneously. Real-time PCR was used to determine mRNA levels of PPARα and PPARα-regulated metabolic enzymes. Results showed that at the stage of compensated hypertrophy, fatty acid oxidation (FAO) and expression of genes involved in FAO were markedly reduced, whilst pyruvate oxidation was enhanced, highlighting the fact that metabolic remodelling is an early event in the development of cardiac hypertrophy.     

An assembly chaperone collaborates with the SMN complex to generate spliceosomal SnRNPs

Spliceosomal small nuclear ribonucleoproteins (snRNPs) are essential components of the nuclear pre-mRNA processing machinery. A hallmark of these particles is a ring-shaped core domain generated by the binding of Sm proteins onto snRNA. PRMT5 and SMN complexes mediate the formation of the core domain in vivo. Here, we have elucidated the mechanism of this reaction by both biochemical and structural studies. We show that pICln, a component of the PRMT5 complex, induces the formation of an otherwise unstable higher-order Sm protein unit. In this state, the Sm proteins are kinetically trapped, preventing their association with snRNA. The SMN complex subsequently binds to these Sm protein units, dissociates pICln, and catalyzes ring closure on snRNA. Our data identify pICln as an assembly chaperone and the SMN complex as a catalyst of spliceosomal snRNP formation. The mode of action of this combined chaperone/catalyst system is reminiscent of the mechanism employed by DNA clamp loaders.     

Advances in proteomic technologies and their scope of application in understanding plant–pathogen interactions

Proteomics, one of the major tools of ‘omics’ is evolving phenomenally since the development and application of two-dimensional gel electrophoresis coupled with mass spectrometry at the end of twentieth century. However, the adoption and application of advanced proteomic technologies in understanding plant–pathogen interactions are far less, when compared to their application in other related fields of systems biology. Hence, this review is diligently focused on the advances in various proteomic approaches and their gamut of applications in different facets of phyto-pathoproteomics. Especially, the scope and application of proteomics in understanding fundamental concepts of plant–pathogen interactions such as identification of pathogenicity determinants (effector proteins), disease resistance proteins (resistance and pathogenesis-related proteins) and their regulation by post-translational modifications have been portrayed. This review, for the first time, presents a critical appraisal of various proteomic applications by assessing all phyto-pathoproteomics-related research publications that were published in peer-reviewed journals, during the period 2000–2016. This assessment has revealed the present status and contribution of proteomic applications in different categories of phyto-pathoproteomics, namely, cellular components, host–pathogen interactions, model and non-model plants, and utilization of different proteomic approaches. Comprehensively, the analysis highlights the burgeoning application of global proteome approaches in various crop diseases, and demand for acceleration in deploying advanced proteomic technologies to thoroughly comprehend the intricacies of complex and rapidly evolving plant–pathogen interactions.     

Highly specific label-free protein detection from lysed cells using internally referenced microcantilever sensors

We report the investigation of label-free protein detection directly from lysed cells using microcantilever sensors. The integration of an internally referenced microcantilever sensor combined with peptide aptamer technology enables scalable and label-free detection of proteins from a complex biological environment (e.g. cell lysate). The internally referenced microcantilever sensor was found to be effective in minimizing both the effects of thermal drift and non-specific binding interactions with the backside of the cantilever, thereby allowing protein detection in a complex biological background. Highly specific peptide aptamers are used to modify the cantilever surface to specifically detect less than 80nM CDK2 protein from yeast cell lysate. This binding of CDK2 on the microcantilever generates a tensile surface stress of average magnitude equal to 70+/-22mN/m. Similar experiments conducted with quartz crystal microbalance (QCM) technology are consistent with the response observed using microcantilever sensors.