Development of EST-SSR markers in Bergenia ciliata using de novo transcriptome sequencing.

Bergenia ciliata (Haw.) Sternb. is an important herb predominantly found in the Indian Himalayan Region. It is widely used in medicines, healthcare systems, cosmetics, fodder, and ornamental purposes. The Illumina sequencing and de novo transcriptome assembly were carried out in B. ciliata to develop and identify simple sequence repeat markers. A total of 18 226 simple sequence repeats (SSRs) were identified wherein di-nucleotides were found to be abundant (47.88%), followed by mono-nucleotide (35.03%) and tri-nucleotide (15.88%) repeats. A total of 11 839 EST-SSR primers were designed, of which 96 primer pairs were commercially synthesized. Finally, 17 primer pairs revealed clear, distinct polymorphic bands, and these primers were validated with 40 diverse B. ciliata accessions. The present study revealed moderate level of genetic diversity (Ho = 0.389, He = 0.542, and PIC = 0.513). Furthermore, the transcriptome data and EST-SSR markers generated during the present investigation could be an important genetic resource for functional genomics, population studies, and conservation genetics of the genus Bergenia.

Screening of cryptogamic secondary metabolites as putative inhibitors of SARS-CoV-2 main protease and ribosomal binding domain of spike glycoprotein by molecular docking and molecular dynamics approaches.

The unprecedented quick spreading of newly emerged SARS-CoV-2, the virus responsible for causing COVID-19 has put the whole world in vast crisis. Several prophylactic interventions are being performed to discover the effective anti-COVID-19 agent. Thus, the present study aims to identify the cryptogamic secondary metabolites (CSMs) as potent inhibitors of two major targets of SARS-Cov2, namely 3-chymotrypsin-like protease (3CLpro) and receptor-binding domain (RBD) of spike glycoprotein (SGP), by implementing a computational approach. Molecular docking was carried out on Autodock 4.2 software with the 3CLpro (PDB ID:6LU7) and RBD of SGP (PDB ID:6W41) of the virus. Lopinavir and Arbidol were taken as positive controls to compare the efficacy of randomly selected 53 CSMs. The drug-likeness and pharmacokinetics properties of all metabolites were accessed to discern the anti-COVID 19 activity acting well at the physiological conditions. The docking results predicted that Marchantin E and Zeorin would potentially block the catalytic site of 3CLpro with the interaction energy values of -8.42 kcal/mol and -9.04 kcal/mol, respectively. In addition, Usnic acid revealed its ability to combat the interaction of RBD of SGP to angiotensin-converting enzyme-2 in docking analysis. To certify the potent metabolites for both targets of SARS-CoV-2, MD analysis was performed for 100 ns. The results confirmed that Marchantin E could inhibit SARS-CoV-2 3CLpro and RBD of SGP as well as reveals excellent pharmacokinetic properties. The present study suggests that the identified CSMs could be quickly positioned for further experimental validation to propose promising inhibitors of SARS-CoV-2.

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.

De Novo Hybrid Assembled Draft Genome of Commiphora wightii (Arnott) Bhandari Reveals Key Enzymes Involved in Phytosterol Biosynthesis.

Genome sequence and identification of specific genes involved in the targeted secondary metabolite biosynthesis are two essential requirements for the improvement of any medicinal plant. Commiphora wightii (Arnott) Bhandari (family: Burseraceae), a medicinal plant native to Western India, produces a phytosterol guggulsterone, which is useful for treating atherosclerosis, arthritis, high cholesterol, acne, and obesity. For enhanced guggulsterone yield, key genes involved in its biosynthesis pathway need to be predicted, for which the genome sequence of the species is a pre-requisite. Therefore, we assembled the first-ever hybrid draft genome of C. wightii with a genome size of 1.03 Gb and 107,221 contigs using Illumina and PacBio platforms. The N50 and L50 values in this assembled genome were ~74 Kb and 3486 bp, respectively with a guanine-cytosine (GC) content of 35.6% and 98.7%. The Benchmarking Universal Single Copy Ortholog (BUSCO) value indicated good integrity of assembly. Analysis predicted the presence of 31,187 genes and 342.35 Mb repeat elements in the genome. The comparative genome analysis of C. wightii with relevant orthogroups predicted a few key genes associated with phytosterol biosynthesis and secondary metabolism pathways. The assembled draft genome and the predicted genes should help the future variety development program with improved guggulsterone contents in C. wightii.