BackgroundIndia is rich with biodiversity, which includes a large number of endemic, rare and threatened plant species. Previous studies have used DNA barcoding to inventory species for applications in biodiversity monitoring, conservation impact assessment, monitoring of illegal trading, authentication of traded medicinal plants etc. This is the first tropical dry evergreen forest (TDEF) barcode study in the World and the first attempt to assemble a reference barcode library for the trees of India as part of a larger project initiated by this research group.Methodology/Principal FindingsWe sampled 429 trees representing 143 tropical dry evergreen forest (TDEF) species, which included 16 threatened species. DNA barcoding was completed using rbcL and matK markers. The tiered approach (1st tier rbcL; 2nd tier matK) correctly identified 136 out of 143 species (95%). This high level of species resolution was largely due to the fact that the tree species were taxonomically diverse in the TDEF. Ability to resolve taxonomically diverse tree species of TDEF was comparable among the best match method, the phylogenetic method, and the characteristic attribute organization system method.ConclusionsWe demonstrated the utility of the TDEF reference barcode library to authenticate wood samples from timber operations in the TDEF. This pilot research study will enable more comprehensive surveys of the illegal timber trade of threatened species in the TDEF. This TDEF reference barcode library also contains trees that have medicinal properties, which could be used to monitor unsustainable and indiscriminate collection of plants from the wild for their medicinal value.

BackgroundAyurveda is a system of traditional medicine that originated in ancient India, and it is still in practice. Medicinal plants are the backbone of Ayurveda, which heavily relies on the plant-derived therapeutics. While Ayurveda is becoming more popular in several countries throughout the World, lack of authenticated medicinal plant raw drugs is a growing concern. Our aim was to DNA barcode the medicinal plants that are listed in the Ayurvedic Pharmacopoeia of India (API) to create a reference DNA barcode library, and to use the same to authenticate the raw drugs that are sold in markets.MethodsWe have DNA barcoded 347 medicinal plants using rbcL marker, and curated rbcL DNA barcodes for 27 medicinal plants from public databases. These sequences were used to create Ayurvedic Pharmacopoeia of India - Reference DNA Barcode Library (API-RDBL). This library was used to authenticate 100 medicinal plant raw drugs, which were in the form of powders (82) and seeds (18).ResultsAyurvedic Pharmacopoeia of India - Reference DNA Barcode Library (API-RDBL) was created with high quality and authentic rbcL barcodes for 374 out of the 395 medicinal plants that are included in the API. The rbcL DNA barcode differentiated 319 species (85 %) with the pairwise divergence ranging between 0.2 and 29.9 %. PCR amplification and DNA sequencing success rate of rbcL marker was 100 % even for the poorly preserved medicinal plant raw drugs that were collected from local markets. DNA barcoding revealed that only 79 % raw drugs were authentic, and the remaining 21 % samples were adulterated. Further, adulteration was found to be much higher with powders (ca. 25 %) when compared to seeds (ca. 5 %).ConclusionsThe present study demonstrated the utility of DNA barcoding in authenticating medicinal plant raw drugs, and found that approximately one fifth of the market samples were adulterated. Powdered raw drugs, which are very difficult to be identified by taxonomists as well as common people, seem to be the easy target for adulteration. Developing a quality control protocol for medicinal plant raw drugs by incorporating DNA barcoding as a component is essential to ensure safety to the consumers.Electronic supplementary materialThe online version of this article (doi:10.1186/s12906-016-1086-0) contains supplementary material, which is available to authorized users.

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The genus Hibiscus L. includes several taxa of medicinal value and species used for the extraction of natural dyes. These applications require the use of authentic plant materials. DNA barcoding is a molecular method for species identification, which helps in reliable authentication by using one or more DNA barcode marker. In this study, we have collected 44 accessions, representing 16 species of Hibiscus, distributed in the southern peninsular India, to evaluate the discriminatory power of the two core barcodes rbcLa and matK together with the suggested additional regions trnH-psbA and ITS2. No intraspecies divergence was observed among the accessions studied. Interspecies divergence was 0%-9.6% with individual markers, which increased to 0%-12.5% and 0.8%-20.3% when using two- and three-marker combinations, respectively. Differentiation of all the species of Hibiscus was possible with the matK DNA barcode marker. Also, in two-marker combinations, only those combinations with matK differentiated all the species. Though all the three-marker combinations showed 100% species differentiation, species resolution was consistently better when the matK marker formed part of the combination. These results clearly showed that matK is more suitable when compared to rbcLa, trnH-psbA, and ITS2 for species identification in Hibiscus.

The genus Melia L., which belongs to the 'Mahogany' family Meliaceae, is a source of important phytochemicals with marked medicinal properties. Species identification in Melia is complex due to the existence of overlapping morphological features. Though Melia dubia Cav. is listed as a synonym of Melia azedarach L., it is not clear from the available literature whether they are the same species or different, and the species complexity still remains unresolved. In the present study, ten accessions of M. dubia and M. azedarach were analysed by DNA barcoding using three chloroplast DNA markers (rbcL, matK, and trnH-psbA), and one nuclear marker (ITS2). Intra-specific divergence was not found in any of the four markers. However, the inter-specific divergence between M. azedarach and M. dubia ranged between 0.3% (rbcL) and 4.7% (ITS2) for individual markers, and for the combined dataset, it was 8.5%. Among the four markers, ITS2 was found to be the most suitable marker for