Comparative analysis of genetic diversity using molecular and morphometric markers in Andrographis paniculata (Burm. f.) Nees
Andrographis paniculata is a medicinal plant of immense therapeutic value. The present study was aimed to elucidate its genetic diversity based on morphochemical and RAPD markers from 53 accessions belonging to 5 eco-geographic regions. Analysis of variance and D 2 statistics revealed significant differences in all the metric traits and sufficient inter-cluster distances indicating considerable diversity among the accessions. The complementary approach of RAPD was used to evaluate the genetic dissimilarities among all the accessions using 6 highly polymorphic primers. The average proportion of polymorphic loci across primers was 96.28%. The molecular genetic diversity based on Shannon index per primer averaged 5.585 with values ranging from 3.08 to 8.70 indicating towards wide genetic base. RAPD based UPGMA and D 2 cluster analysis also revealed that various accessions available in different eco-geographic regions might have originated from native places of wild abundance. Similarity matrices were generated for molecular markers and morphometric data to determine the degree of congruence between the two. A highly significant but low correlation (r = 0.547, P < 0.001) was obtained thus implying the correspondence between the two. The species is hermaphroditic and a habitual inbreeder. The present study yielded a typical triangular congruence between its breeding system, morphometric traits and RAPD markers thus elucidating the usefulness of complementary approaches to make diversity analysis more explanatory and purposeful for optimum genetic amelioration and effective conservation of its genotypic variability.
KeywordsAndrographis paniculata Andrographolide Genetic diversity Mahalanobis D2 statistics Medicinal herb Shannon index
The authors thank Dr. G.N. Qazi, Director Regional Research Laboratory (CSIR) for useful discussions. One of us (S.B.) was in receipt of research fellowship from GBPIHED, Almora, India, whilst the work was being carried out.
- Anonymous (1985) The wealth of India: raw materials, vol 1. Council of Scientific and Industrial Research, New Delhi, India, pp 364Google Scholar
- Bookistein FL (1991) Morphometric tools for land mark data. Cambridge University Press, New York, NYGoogle Scholar
- Doyle JJ, Doyle JL (1990) Isolation of plant DNA from fresh tissue. Focus 12:13–15Google Scholar
- Lattoo SK, Khan S, Dhar AK, Choudhary DK, Gupta KK, Sharma PR (2006) Genetics and mechanism of induced male sterility in Andrographis paniculata (Burm. f.) Nees and its significance. Current Sci 91:515–519Google Scholar
- Lewontin RC (1972) The apportionment of human diversity. Evol Biol 6:381–398Google Scholar
- Mahalanobis PC (1936) On the generalised distance in statistics. Proc Nat Inst Sci 2:49–55Google Scholar
- Padmesh P, Sabu KK, Seeni S, Pushpangadan P (1999) The use of RAPD in assessing genetic variability in Andrographis paniculata Nees, a hepatoprotective drug. Curr Sci 76:833–835Google Scholar
- Rao CR (1952) Advanced statistical method in biometrical research. John Wiley and Sons. Inc., New York, p 390Google Scholar
- Rohlf FJ (1993) NTSYS-pc. Numerical taxonomy and multivariate analysis system: version 1.8. Applied Biostatistics, New YorkGoogle Scholar
- Saraswat B, Visen P, Patnayak GK, Dhawan BN (1995) Effect of andrographolide against galactosamine-induced hepatotoxicity. Fitoterapia 66:415–420Google Scholar
- Sneath PHA, Sokal RR (1973) Numerical taxonomy. Freeman, San FranciscoGoogle Scholar