Development and characterization of microsatellite markers for Phyllanthus emblica Linn., important nontimber forest product species

Abstract

Phyllanthus emblica and P. indofischeri, commonly known as the Indian gooseberry, are important nontimber forest product (NTFP) species widely distributed across the Indian subcontinent. The fruits of these species are rich in vitamin C and are used in the preparation of a number of herbal medicines for treating a wide range of disorders. Due to the increased demand, they have been harvested extensively and form a major source of income for the forest-dwelling communities living in southern India. There are limited studies to understand the impact of harvesting on the genetic structure of these species. In this study, 15 polymorphic microsatellite markers have been developed for P. emblica and were characterized by screening 20 individuals each of P. emblica and P. indofischeri. The number of alleles per locus ranged 2–9 for P. emblica and 2–11 for P. indofischeri. The observed and expected heterozygosity of P. emblica ranged 0–1 and 0.401–0.825, respectively. Similarly, the observed and expected heterozygosity of P. indofischeri ranged 0.5–1 and 0.366–0.842, respectively. Cross-amplification of the designed primers was assessed with seven related Phyllanthus species. The microsatellite markers developed can be used for studying the population genetic structure, gene flow and genetic diversity of P. emblica and P. indofischeri.

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References

  1. Babu K. L. 2010 Health and livelihoods of community and traditional medicinal plants: SWOT of two agro climatic zones of India. Report of South Asia Network of Economic Research Institutes (SANEI), pp. 1–78.

  2. Ganesan R. and Setty S. R. 2004 Regeneration of amla, an important non-timber forest product from southern India. Conserv. Soc. 2, 365–375.

    Google Scholar 

  3. Glenn T. C. and Schable N. A. 2005 Isolating microsatellite DNA loci. Methods Enzymol. 395, 202–222.

    CAS  Article  PubMed  Google Scholar 

  4. Kalinowski S. T., Taper M. L. and Marshall T. C. 2007 Revising how the computer program CERVUS accommodates genotyping error increases success in paternity assignment. Mol. Ecol. 16, 1099–1106.

    Article  PubMed  Google Scholar 

  5. Khopde S. M., Indira Priyadarsini K., Mohan H., Gawandi V. B., Satav J. G., Yakhmi J. V. et al. 2001 Characterizing the antioxidant activity of amla (Phyllanthus emblica) extract. Curr. Sci. 81, 185–190.

    CAS  Google Scholar 

  6. Martins W. S., Lucas D. C. S., Neves K. F. S. and Bertioli D. J. 2009 WebSat - A Web software for microsatellite marker development. Bioinformation  3, 282–283.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Padmini S., Nageswara Rao M., Ganeshaiah K. N. and Uma Shaanker R. 2001 Genetic diversity of Phyllanthus emblica in tropical forests of south India: impact of anthropogenic pressures. J. Trop. For. Sci13, 297–310.

    Google Scholar 

  8. Pandey M. and Changtragoon S. 2012 Isolation and charactrization of microsatellites in a medicinal plant, Phyllanthus emblica (Euphorbiaceae). Am. J. Bot. 99, e468–e469

    Article  PubMed  Google Scholar 

  9. Peakall R. and Smouse P. E. 2012 GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research-an update. Bioinformatics  28, 2537–2539.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  10. Ravikanth G. and Siddappa Setty 2017 Shrinking harvest: Genetic consequences and challenges for sustainable harvesting of non-timber forest products. In Transcending boundaries: reflecting on twenty years of action and research at ATREE (ed. A J Hiremath, N D Rai and A Ananda Siddhartha), pp. 20–27. Ashoka Trust for Research in Ecology and the Environment, Bengaluru.

    Google Scholar 

  11. Ravikanth G., Ganeshaiah K. N. and Uma Shaanker R. 2001 Mapping genetic diversity of rattans in Central Western Ghats: identification of hot-spots of variability for in situ conservation. In Forest genetic resources: status, threats and conservation strategies (ed. R Uma Shaanker, K N Ganeshaiah and K S Bawa), pp. 69–83. Oxford and IBH Publishing, New Delhi.

    Google Scholar 

  12. Ravikanth G., Srirama R., Senthilkumar U., Ganeshaiah K. N. and Uma Shaanker R. 2011 Genetic resources of Phyllanthus in southern India: identification of geographic and genetic hot spots and its implication for conservation. In Phyllanthus species: scientific evaluation and medicinal applications (traditional herbal medicines for modern times) (ed. R. Kuttan, and K. B. Harikumar), pp. 98–118. CRC Press, Florida.

    Google Scholar 

  13. Rist L., Uma Shaanker R. and Ghazoul J. 2011 The spatial distribution of mistletoe in a southern Indian tropical forest at multiple scales. Biotropica  43, 50–57.

    Article  Google Scholar 

  14. Rozen S. and Skaletsky H. 2000 Primer3 on the WWW for general users and for biologist programmers. Methods Mol. Biol. 132, 365–386.

    CAS  PubMed  Google Scholar 

  15. Siva R. 2003 Assessment of genetic diversity in some dye yielding plants using isozyme data. Ph.D. dissertation, Bharathidasan University, India.

  16. Srirama R., Senthilkumar U., Ravikanth G., Sreejayan N., Gurumurthy B. R., Shivanna M. B. et al. 2010 Assessing species admixtures in raw drug trade of Phyllanthus, a hepato-protective plant using molecular tools. J. Ethnopharmacol. 130, 208–215.

    CAS  Article  PubMed  Google Scholar 

  17. Srirama R., Deepak H. B., Senthilkumar U., Ravikanth G., Gurumurthy B. R., Shivanna M. B. et al. 2012 Hepatoprotective activity of Indian Phyllanthus L. Pharma. Biol. 50, 948–953.

    CAS  Article  Google Scholar 

  18. Uma Shaanker R. and Ganeshaiah K. N. 1997 Mapping the genetic diversity of Phyllanthus emblica: Forest gene banks as a new approach for insitu conservation of genetic resources. Curr. Sci. 73, 163–168.

    Google Scholar 

  19. Van Oosterhout C., Hutchinson W. F., Wills D. P. M. and Shipley P. 2004 MICRO-CHECKER: software for identifying and correcting genotyping errors in microsatellite data. Mol. Ecol. Notes  4, 535–538.

    CAS  Article  Google Scholar 

  20. Ved D. K. and Goraya G. S. 2008 Demand and supply of medicinal plants in India. FRLHT, Bengaluru.

    Google Scholar 

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Acknowledgements

The authors acknowledge the permission granted by the Karnataka Forest Department PCCF(WL)/E2/CR-22/2013-14, dated 2 December 2014 and renewed on 21 May 2016 for collection of leaf samples of P. emblica and P. indofischeri from Biligiri Rangaswamy Temple Wildlife Sanctuary. This study was made possible by the support United States Agency for International Development (USAID, award number: AID-386-A-14-00011). The contents are the responsibility of authors and do not necessarily reflect the views of USAID or the United States Government.

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Correspondence to R. Srirama or G. Ravikanth.

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Corresponding editor: Manoj Prasad

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Geethika, E., Triveni, H.N., Srirama, R. et al. Development and characterization of microsatellite markers for Phyllanthus emblica Linn., important nontimber forest product species. J Genet 97, 1001–1006 (2018). https://doi.org/10.1007/s12041-018-0979-8

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Keywords

  • simple-sequence repeat markers
  • heterozygosity
  • population genetics
  • Phyllanthus indofisheri