Metabolite profiling of Piper longum L. fruit volatiles by two-dimensional gas chromatography and time-of-flight mass spectrometry: Insights into the chemical complexity.

Piper longum L. (long pepper) is an economically and industrially important medicinal plant. However, the characterization of its volatiles has only been analyzed by gas chromatography-mass spectrometry (GC-MS). In the present study, precise characterization of P. longum fruit volatiles has been performed for the first time through advanced two-dimensional gas chromatography-time-of-flight spectrometry (GC×GC-TOFMS). A total of 146 constituents accounting for 93.79% were identified, of which 30 were reported for the first time. All these constituents were classified into alcohols (4.5%), alkanes (8.9%), alkenes (6.71%), esters (6.15%), ketones (0.58%), monoterpene hydrocarbons (1.64%), oxygenated monoterpenes (2.24%), sesquiterpene hydrocarbons (49.61%), oxygenated sesquiterpenes (13.03%), phenylpropanoid (0.23%), and diterpenes (0.2%). Among all the classes, sesquiterpene hydrocarbons were abundant, with germacrene-D (2.87% ± 0.01%) as the major one, followed by 8-heptadecene (2.69% ± 0.03%), ß-caryophyllene (2.43% ± 0.03%), n-heptadecane (2.4% ± 0.04%), n-pentadecane (2.11% ± 0.05%), and so forth. Further, 20 constituents were observed to be coeluted and separated precisely in the two-dimensional column. The investigation provides an extensive metabolite profiling of P. longum fruit volatiles, which could be helpful to improve its therapeutic potential.

Transcriptome profiling of Curcuma longa L. cv. Suvarna.

Turmeric is an economically valued crop, because of its utility in the food, pharmaceutical industries and Ayurvedic medicine, attracts the attention in many areas of research work. In the present study, we executed resequencing through transcriptome assembly of the turmeric cultivar Suvarna (CL_Suv_10). Resequencing of Suvarna variety has generated 5 Gbases raw data with 75 bp paired-end sequence. The raw data has been submitted to SRA database of NCBI with accession number SRR4042181. Reads were assembled using Cufflinks-2.2.1 tool which ended up with 42994 numbers of transcripts. The length of transcripts ranged from 83 to15565, with a N50 value 1216 and median transcript length 773. The transcripts were annotated through number of databases. For the first time transcriptome profiling of cultivar Suvarna has been done, which could help towards identification of single nucleotide polymorphisms (SNPs) between Suvarna and other turmeric cultivars for its authentic identification.

Exploiting EST databases for the mining and characterization of short sequence repeat (SSR) markers in Catharanthus roseus L.

Periwinkle (Catharanthus roseus L.) (Family: Apocyanaceae) is a ornamental plants with great medicinal properties. Although it is represented by seven species, little work has been carried out on its genetic characterization due to non-availability of reliable molecular markers. Simple sequence repeats (SSRs) have been widely applied as molecular markers in genetic studies. With the rapid increase in the deposition of nucleotide sequences in the public databases and advent of bioinformatics tools, it has become a cost effective and fast approach to scan for microsatellite repeats and exploit the possibility of converting it into potential genetic markers. Expressed sequence tags (EST's) from Catharanthus roseus were used for the screening of Class I (hyper variable) simple sequence repeats (SSR's). A total of 502 microsatellite repeats were detected from 21730 EST sequences of turmeric after redundancy elimination. The average density of Class I SSRs account to 1 SSR per 10.21 kb of EST. Mononucleotides was the most abundant class of microsatellite motifs. It accounted for 44.02% of the total, followed by the trinucleotide (26.09%) and dinucleotide repeats (14.34%). Among all the repeat motifs, (A/T)n accounted for the highest Proportion (36.25%) followed by (AAG)n. These detected SSRs can be used to design primers that have functional importance and should also facilitate the analysis of genetic diversity, variability, linkage mapping and evolutionary relationships in plants especially medicinal plants.