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ISSR Characterization and Quantification of Purpurin and Alizarin in Rubia cordifolia L. Populations from India

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Abstract

Rubia cordifolia L., is an industrially viable medicinal crop and is widely exploited for the therapeutic potential of its bioactive metabolite, purpurin. The present investigation aimed to explore the chemotypic and molecular variability in seven wild populations of R. cordifolia from South Eastern Ghats region of India. Thirty-eight individuals were assessed for molecular fingerprinting (ISSR markers) and densitometric quantification of purpurin and alizarin. The populations of Yelagiri Hills and Shervaroy Hills contained the highest levels of alizarin (0.115 and 0.093%, respectively) while Pachamalai and Kolli Hills revealed the highest purpurin content (0.284 and 0.280%, respectively). Genetic diversity was generally higher in the same populations that produced higher metabolite content, with the exception of Pachamalai, suggesting a highly prioritized conservation concern. The study revealed a Nei’s total gene diversity at species level of 0.266 and of 0.187 at population level, with an average population genetic differentiation of 0.28. No clear genetic or chemical structure was retrieved between the studied populations, with individuals from different locations clustering together, and no significant correlation was obtained between metabolites and genetic diversity or between these and the populations’ geographic distances.

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Acknowledgements

The authors wish to express their sincere thanks to Director, CSIR-CIMAP, Lucknow, India for providing the facilities to carry out this research (CIMAP Communication Number: CIMAP/PUB/2016/78). The financial support from the University Grants Commission (UGC), Government of India through Research Project (F.NO.39-368/2010) (SR) is gratefully acknowledged.

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Correspondence to Sundaresan Velusamy.

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Natarajan, S., Mishra, P., Vadivel, M. et al. ISSR Characterization and Quantification of Purpurin and Alizarin in Rubia cordifolia L. Populations from India. Biochem Genet 57, 56–72 (2019). https://doi.org/10.1007/s10528-018-9875-4

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