Lysis allowed identification of P-I rich, P-II wealthy or both P-I and P-II wealthy genotypes. Related observations were created by Kumar et al. (2017), who identified genotypes PKST-3 and PKST-5 as maximum P-II and minimum P-I genotypes, whilst PKST16 and PKST-18 were identified as minimum P-II and maximum P-I genotypes. They proposed that metabolic network of picrosides I and II biosynthesis is very complicated. An increase in P-II upon reduction in P-I indicated that P-I and P-II skewed from a typical metabolic node and P-I and P-II biosynthesis is regulated by metabolic modulations (Kumar et al. 2017). Based on 5-HT6 Receptor Modulator Accession present evaluation, the genotypes of Sainj, Dayara, Parsuthach, Tungnath, Furkia and Temza could be thought of as superior genotypes with greater quantity of P-I and P-II. Upon correlation of information generated by genetic and phytochemical markers, it was observed that some genotypes with greater concentration of either P-I or P-II, like from Temza and Tungnath populations didn’t exhibit substantially genetic polymorphism. Similar unfavorable correlation involving genotypic and phytochemical diversity has been observed in Ocimum basilicum (De Masi et al. 2006), Thymus caespititius (Trindade et al. 2008), Cymbopogon sp. (Kumar et al. 2009) and Zataria multiflora (Hadian et al. 2011). However, each a high level of genetic polymorphism too as picrosides P-I or P-II in Rahala population, specially in genotypes from Grahan, Rohtang, Holi, Mani Mahesh and especially Sainj clearly displayed a optimistic correlation involving the two marker systems as seen previously in Podophyllum hexandrum (Sultan et al. 2008). To sum up, while the present complete molecular and phytochemical evaluation in P. kurroa revealed a higher genetic diversity and a variety of statistical evaluation indicated that populations did not show a lot genetic ROCK1 Accession divergence, and also the observed genetic diversity resides largely amongst the genotypes within the populations. Nevertheless, around the basis of molecular and phytochemical markers, the genotypes from Sainj, Parsuthach, and Furkia (Himachal Pradesh), Arampatri and Manvarsar (Jammu and Kashmir), Dayara, Kedarnath and Tungnath (Uttarakhand) and Temza and Thangu (Sikkim) with higher genetic heterozygosity and picrosides content material can contribute towards a probable core collection of most variablegenotypes in P. kurroa which could be additional characterized and utilized for multiplication, conservation and genetic improvement purposes.Conclusions and conservation implicationsIn the present study, both molecular DNA and phytochemical markers effectively partitioned the genetic variation in distinct populations of P. kurroa. Diversity and clustering analysis grouped the populations distinctly giving a clear spatial population structure depicting limited gene flow among them. Many of the genetic variability was reflected in the intra-population level with low interpopulation variation. The present study has helped within the demarcation of most divergent P. kurroa genotypes with higher percentage of genetic polymorphism and picrosides content. These elite genotypes may potentially be applied for additional characterization, multiplication, industrial utilization and conservation of P. kurroa germplasm. An imperative conservation approach in P. kurroa may perhaps incorporate integrating in situ and ex situ management processes, setting up of protected locations and cultivation practices of divergent P. kurroa genotypes. Intensive botanical surveys followed by characterization of genetic.
