Dataset Information

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

ABSTRACT: 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.

SUBMITTER: Tiwari V

PROVIDER: S-EPMC7196595 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:BACKGROUND:Bergenia ciliata is a medicinal plant used for the treatment of diarrhea, vomiting, fever, cough, diabetes, cancer, pulmonary disorders and wound healing. METHODS:In this study, Bergenia ciliata crude extract, subfractions, and isolated compounds were evaluated for their antioxidant and anticholinesterase potential. The free radical scavenging capacities of the extracts determined using DPPH and ABTS assays. The anticholinesterase potentials were determined using acetylcholine esterase and butyryl choline esterase enzymes. To determine the phytochemical composition, the extracts were subjected to HPLC analysis and silica gel column isolation. Based on HPLC fingerprinting results, the ethyl acetate fraction was found to have more bioactive compounds and was therefore subjected to silica gel column isolation. As a result, three compounds; pyrogallol, rutin, and morin were isolated in the pure state. The structures of the isolated compounds were elucidated using spectroscopic techniques like 1H-NMR, IR and UV-Visible. RESULTS:The crude extract showed maximum anticholinesterase (acetylcholinesterase?=?90.22?±?1.15% and butyrylcholinesterase?=?88.22?±?0.71%) and free radical scavenging (87.37?±?2.45 and 83.50?±?0.70% respectively against DPPH and ABTS radicals) potentials. The total phenolic contents (expressed as equivalent of gallic acid; mgGAE/g) were higher in ethyl acetate fraction (80.96?±?1.74) followed by crude extract (70.65?±?0.86) while the flavonoid contents (expressed as quercetin equivalent; mgQE/g) and were higher in crude extract (88.40?±?1.12) followed by n-butanol fraction (60.10?±?1.86). The isolated bioactive compounds pyrogallol, rutin, and morin were found active against ABTS and DPPH free radicals. Amongst them, pyrogallol was more active against both free radicals. Reasonable anticholinesterase activities were recorded for pyrogallol against selected enzymes. CONCLUSION:The extracts and isolated compounds showed antioxidant and acetylcholinesterase inhibitory potentials. It was concluded that this plant could be helpful in the treatment of oxidative stress and neurological disorders if used in the form of extracts.

Dataset Information

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

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets