In silico Characterisation and Phylogenetic Analysis of Two Evolutionarily Conserved miRNAs (miR166 and miR171) from Black Pepper (Piper nigrum L.)

Among computationally predicted and experimentally validated plant miRNAs, several are conserved across species boundaries in the plant kingdom. In this study, a combined experimental–in silico approach was adopted for characterization of two conserved miRNAs, miR166 and miR171, from black pepper (Piper nigrum). A PCR-based detection and cloning strategy of miRNAs from tissues of black pepper was used. Conservation analysis of miR166 and miR171 along with their corresponding targets identified from P. nigrum revealed that these miRNAs are highly conserved with their counterparts in other plant species. miRNA-mediated cleavage of the conserved targets was also verified by RLM-RACE experiments. Real-time quantitative PCR revealed the differential expression patterns of these miRNAs in black pepper tissues. Our miRNA-based phylogenetic analysis of plants belonging to the Piperaceae family was in agreement with the typical paleoherb evolutionary scheme of primitive angiosperms. This method will help in the detection of evolutionarily conserved miRNAs in other plant species and provide a strategy for a novel phylogenetic reconstruction based on the evolutionary history of miRNA genes.     

Exploring insights for virulent gene inhibition of multidrug resistant Salmonella typhi,Vibrio cholerae,and Staphylococcus areus by potential phytoligands via in silico screening

In our recent studies on prevalence of multidrug resistant pathogens in Byramangala reservoir, Karnataka, India, we identified Salmonella typhi, Staphylococcus aureus, and Vibrio cholerae which had acquired multiple drug resistance (MDR) and emerged as superbugs. Hence, there is a pressing demand to identify alternative therapeutic remedies. Our study focused on the screening of herbal leads by structure-based virtual screening. The virulent gene products of these pathogens towards Kanamycin(aph), Trimethoprim(dfrA1), Methicillin (mecI), and Vancomycin (vanH) were identified as the probable drug targets and their 3D structures were predicted by homology modeling. The predicted models showed good stereochemical validity. By extensive literature survey, we selected 58 phytoligands and their drug likeliness and pharmacokinetic properties were computationally predicted. The inhibitory properties of these ligands against drug targets were studied by molecular docking. Our studies revealed that Baicalein from S. baicalensis (baikal skullcap) and Luteolin from Taraxacum officinale (dandelion) were identified as potential inhibitors against aph of S. typhi. Resveratrol from Vitis vinifera (grape vine) and Wogonin from S. baicalensis were identified as potential inhibitors against dfrA1 of S. typhi. Herniarin from Herniaria glabra (rupture worts) and Pyrocide from Daucus carota (Carrot) were identified as the best leads against dfrA1 of V. cholerae. Taraxacin of T. officinale (weber) and Luteolin were identified as potential inhibitors against Mec1. Apigenin from Coffee arabica (coffee) and Luteolin were identified as the best leads against vanH of S. aureus. Our findings pave crucial insights for exploring alternative therapeutics against MDR pathogens.     

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.     

Detecting and Characterizing Genomic Signatures of Positive Selection in Global Populations

Natural selection is a significant force that shapes the architecture of the human genome and introduces diversity across global populations. The question of whether advantageous mutations have arisen in the human genome as a result of single or multiple mutation events remains unanswered except for the fact that there exist a handful of genes such as those that confer lactase persistence, affect skin pigmentation, or cause sickle cell anemia. We have developed a long-range-haplotype method for identifying genomic signatures of positive selection to complement existing methods, such as the integrated haplotype score (iHS) or cross-population extended haplotype homozygosity (XP-EHH), for locating signals across the entire allele frequency spectrum. Our method also locates the founder haplotypes that carry the advantageous variants and infers their corresponding population frequencies. This presents an opportunity to systematically interrogate the whole human genome whether a selection signal shared across different populations is the consequence of a single mutation process followed subsequently by gene flow between populations or of convergent evolution due to the occurrence of multiple independent mutation events either at the same variant or within the same gene. The application of our method to data from 14 populations across the world revealed that positive-selection events tend to cluster in populations of the same ancestry. Comparing the founder haplotypes for events that are present across different populations revealed that convergent evolution is a rare occurrence and that the majority of shared signals stem from the same evolutionary event.     

Deep Whole-Genome Sequencing of 100 Southeast Asian Malays

Whole-genome sequencing across multiple samples in a population provides an unprecedented opportunity for comprehensively characterizing the polymorphic variants in the population. Although the 1000 Genomes Project (1KGP) has offered brief insights into the value of population-level sequencing, the low coverage has compromised the ability to confidently detect rare and low-frequency variants. In addition, the composition of populations in the 1KGP is not complete, despite the fact that the study design has been extended to more than 2,500 samples from more than 20 population groups. The Malays are one of the Austronesian groups predominantly present in Southeast Asia and Oceania, and the Singapore Sequencing Malay Project (SSMP) aims to perform deep whole-genome sequencing of 100 healthy Malays. By sequencing at a minimum of 30× coverage, we have illustrated the higher sensitivity at detecting low-frequency and rare variants and the ability to investigate the presence of hotspots of functional mutations. Compared to the low-pass sequencing in the 1KGP, the deeper coverage allows more functional variants to be identified for each person. A comparison of the fidelity of genotype imputation of Malays indicated that a population-specific reference panel, such as the SSMP, outperforms a cosmopolitan panel with larger number of individuals for common SNPs. For lower-frequency (<5%) markers, a larger number of individuals might have to be whole-genome sequenced so that the accuracy currently afforded by the 1KGP can be achieved. The SSMP data are expected to be the benchmark for evaluating the value of deep population-level sequencing versus low-pass sequencing, especially in populations that are poorly represented in population-genetics studies.     

Lactobacillus rhamnosus GG antagonizes Giardia intestinalis induced oxidative stress and intestinal disaccharidases: an experimental study

The present study describes the in vivo modulatory potential of Lactobacillus rhamnosus GG (LGG), an effective probiotic, in Giardia intestinalis-infected BALB/c mice. Experimentally, it was observed that oral administration of lactobacilli prior or simultaneous with Giardia trophozoites to mice, efficiently (p < 0.05) reduced both the severity and duration of giardiasis. More specifically, probiotics fed, Giardia-infected mice, showed a significant increase in the levels of antioxidants [reduced glutathione (GSH) and superoxide dismutase (SOD)] and intestinal disaccharidases [sucrase and lactase] and decreased levels of oxidants in the small intestine, in comparison with Giardia-infected mice. Histopathological findings also revealed almost normal cellular morphology of the small intestine in probiotic-fed Giardia-infected mice compared with fused enterocytes, villous atrophy and increased infiltration of lymphocytes in Giardia-infected mice. The results of the present study has shed new light on the anti-oxidative properties of LGG in Giardia mediated tissue injury, thereby suggesting that the effects of probiotic LGG are biologically plausible and could be used as an alternative microbial interference therapy.     

Sympathetic support of energy expenditure and sympathetic nervous system activity after gastric bypass surgery

Objective:

This study was designed to determine how gastric bypass affects the sympathetically‐mediated component of resting energy expenditure (REE) and muscle sympathetic nerve activity (MSNA).

Design and Methods:

We measured REE before and after beta‐blockade in seventeen female subjects approximately three years post‐gastric bypass surgery and in nineteen female obese individuals for comparison. We also measured MSNA in a subset of these subjects.

Results:

The gastric bypass subjects had no change in REE after systemic beta‐blockade, reflecting a lack of sympathetic support of REE, in contrast to obese subjects where REE was reduced by beta‐blockade by approximately 5% (P < 0.05). The gastric bypass subjects, while still overweight (BMI = 29.3 vs 38.0 kg·m^?2 for obese subjects, P < 0.05), also had significantly lower MSNA compared to obese subjects (10.9 ± 2.3 vs. 21.9 ± 4.1 bursts·min^?1, P < 0.05). The reasons for low MSNA and a lack of sympathetically mediated support of REE after gastric bypass are likely multifactorial and may be related to changes in insulin sensitivity, body composition, and leptin, among other factors.

Conclusions:

These findings may have important consequences for the maintenance of weight loss after gastric bypass. Longitudinal studies are needed to further explore the changes in sympathetic support of REE and if changes in MSNA or tissue responsiveness are related to the sympathetic support of REE.

     

The Association between EGFR and cMET Expression and Phosphorylation and Its Prognostic Implication in Patients with Breast Cancer

EGFR and cMET cross-talk is involved in breast cancer (BC) progression and resistance to different targeted therapies, however little is known about the co-expression patterns of EGFR and cMET or its prognostic significance in BC. Protein levels of EGFR, cMET and their phosphorylated proteins were measured in 825 BC samples using reverse phase protein array (RPPA). Given unimodal distribution of proteins, the median was selected as a cut-off after sensitivity analyses. Kaplan-Meier survival curves were used to estimate relapse-free (RFS) and overall survival (OS). Cox-proportional hazards models were utilized to determine associations between EGFR and cMET with outcomes. Mean age was 58 years with 457 (55%) hormone receptor (HR) positive, 211 (26%) triple-negative (TN) and 148 (18%) HER2 positive tumors (HER2+). HER2+ was associated with higher EGFR expression and phosphorylation, compared to HR and TN (p<0.05). High EGFR expression was associated with higher phosphorylated-cMET (p-cMET) but not cMET (ANOVA p-cMET p < 0.001; cMET p = 0.34). The same association was found with high phosphorylated-EGFR (p-EGFR) group at Tyr992 and Tyr1068 (both p < 0.001). High expressions in either of two p-EGFRs were linked with higher cMET as well (all p<0.001). For the TN subtype, high expression in EGFR and p-EGFR at Tyr992 but not at Tyr1068 was associated with higher p-cMET (p<0.00, p = 0.012, p = 0.4 respectively). Only high expression in p-EGFR at Tyr992 was linked with higher expression of cMET (p = 0.02). In contrast, among HER2 subtype, high expression in p-EGFR at Tyr1068 but not at Tyr992 was associated with higher cMET and p-cMET (cMET p = 0.023;p-cMET p<0.001). Four subgroups of patients defined by dichotomized EGFR/p-EGFR and cMET/p-cMET level demonstrated no significant differences in survival. In multivariate analyses, neither cMET nor EGFR expression/activation was found to be an independent prognostic factor in survival outcome.