Molecular analyses of genetic variability in the populations of Bergenia ciliata in Indian Himalayan Region (IHR).

Bergenia ciliata is an important medicinal plant species of Indian Himalayan Region (IHR). Genetic variability and population genetic structure of B. ciliata sampled from IHR was studied using two single primer amplification reaction (SPAR) methods (DAMD: Directed Amplification of Minisatellite region DNA; ISSR: Inter Simple Sequence Repeats). To provide a reasonable scientific basis for management and conservation of B. ciliata populations in IHR, genetic diversity analysis of 11 populations with 24 SPAR markers (15 ISSR and 9 DAMD) revealed significantly high level of (90.03%) polymorphism at species level. However, genetic variability was low at population level and KUL and BWS populations showed maximum while SHM population revealed least genetic diversity among the 11 populations. Analysis of molecular variance revealed highest percentage of variation (73%) within populations, followed by 17% among populations and least (10%) among the Himalayan regions. Clustering pattern obtained from UPGMA dendrogram was supported by STRUCTURE and principal coordinate analysis, segregating all the 11 natural populations of B. ciliata into two genetic clusters: Eastern and Western Himalayan populations. The clustering patterns of all the three statistical methods indicated that populations of B. ciliata have structured in response to the local micro-climates of the habitats in IHR, and therefore, it can be concluded that genetic variability is in congruence with the geographical diversity.

Major bioactive phenolics in Bergenia species from the Indian Himalayan region: Method development, validation and quantitative estimation using UHPLC-QqQLIT-MS/MS.

Bergenia species are important medicinal plants used in indigenous systems of medicine for their antilithiatic and diuretic properties. An ultra-high performance liquid chromatography coupled to hybrid linear ion trap triple quadrupole mass spectrometry (UHPLC-QqQLIT-MS/MS) method has been developed and validated for the estimation of quantitative variation of eight major bioactive phenolics in the rhizomes (150 samples) of four species of this herb, Bergenia (B. ciliata, B. ligulata, B. purpurascens and B. stracheyi). Chromatographic separation was obtained on a Waters ACQUITY UPLCTM BEH (ethylene bridged hybrid) C18 column with a mobile phase consisting of 0.1% (v/v) formic acid aqueous solution and acetonitrile under a gradient elution manner. A hybrid linear ion trap triple quadrupole mass spectrometer was operated in negative electrospray ionization mode with multiple reactions monitoring for detection and quantification of the eight compounds. The validated method demonstrated good linearity (r2 ≥ 0.9991), precision (RSD ≤ 1.87%) and accuracy (95.16-102.11%, RSD ≤ 1.83%) for all reference analytes. The quantitative results revealed that B. ligulata contains the highest amount of the major active marker-bergenin. The results also suggest that sensitive UHPLC-QqQLIT-MS/MS method, a sensitive, accurate and convenient one, could be helpful in identification of potential accession(s), rapid quality control and establishing authenticity of Bergenia species as raw material for pharmaceutical industries.

Platelet activating factor: A potential biomarker in acute coronary syndrome?

Platelet activating factor (PAF) is a potent pro-inflammatory negotiator that shows distinct spectrum of biological and pharmacological effects. Importantly, it participates in a wide range of pathophysiological conditions. In cardiovascular system, PAF has been shown to have an important role in platelet and neutrophil aggregation, vascular permeability, microvascular leakage, thrombus formation, leukocyte adhesion to the endothelial cells, and initiation and progression of atherosclerosis. The purpose of this article was to review the PAF, a family of lipids that is associated with the pathology of coronary artery diseases due to their association with leading etiological mechanisms such as inflammation, endothelial dysfunction, oxidative and nitrosative stress, and platelet reactivity. This review further provides information about PAF and its potential role as a key contributor to the pathogenesis of cardiovascular disorders.

Universal plant DNA barcode loci may not work in complex groups: a case study with Indian berberis species.

BACKGROUND: The concept of DNA barcoding for species identification has gained considerable momentum in animals because of fairly successful species identification using cytochrome oxidase I (COI). In plants, matK and rbcL have been proposed as standard barcodes. However, barcoding in complex genera is a challenging task. METHODOLOGY AND PRINCIPAL FINDINGS: We investigated the species discriminatory power of four reportedly most promising plant DNA barcoding loci (one from nuclear genome--ITS, and three from plastid genome--trnH-psbA, rbcL and matK) in species of Indian Berberis L. (Berberidaceae) and two other genera, Ficus L. (Moraceae) and Gossypium L. (Malvaceae). Berberis species were delineated using morphological characters. These characters resulted in a well resolved species tree. Applying both nucleotide distance and nucleotide character-based approaches, we found that none of the loci, either singly or in combinations, could discriminate the species of Berberis. ITS resolved all the tested species of Ficus and Gossypium and trnH-psbA resolved 82% of the tested species in Ficus. The highly regarded matK and rbcL could not resolve all the species. Finally, we employed amplified fragment length polymorphism test in species of Berberis to determine their relationships. Using ten primer pair combinations in AFLP, the data demonstrated incomplete species resolution. Further, AFLP analysis showed that there was a tendency of the Berberis accessions to cluster according to their geographic origin rather than species affiliation. CONCLUSIONS/SIGNIFICANCE: We reconfirm the earlier reports that the concept of universal barcode in plants may not work in a number of genera. Our results also suggest that the matK and rbcL, recommended as universal barcode loci for plants, may not work in all the genera of land plants. Morphological, geographical and molecular data analyses of Indian species of Berberis suggest probable reticulate evolution and thus barcode markers may not work in this case.