Population genetic structure and diversity of high value vulnerable medicinal plant Acorus calamus in India using RAPD and chloroplast microsatellite markers

Acorus calamus is a highly valued medicinal plant with global distribution used in several drugs of health care systems. We evaluated the genetic diversity and population structure of 50 populations of A. calamus from different geographical regions in India through RAPD and chloroplast microsatellit...

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Bibliographic Details
Published in:Journal of forestry research 2011, Vol.22 (3), p.367-377
Main Authors: Ginwal, H. S., Mittal, Neha, Tomar, Arvind, Varshney, V. K.
Format: Article
Language:English
Subjects:
Biomedical and Life Sciences
Forestry
Life Sciences
Original Paper
RAPD标记
印度
叶绿体
微卫星标记
群体遗传结构
药用植物
菖蒲
遗传多样性
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Summary:Acorus calamus is a highly valued medicinal plant with global distribution used in several drugs of health care systems. We evaluated the genetic diversity and population structure of 50 populations of A. calamus from different geographical regions in India through RAPD and chloroplast microsatellite markers. From the total screened 82 RAPD primers and 18 cpSSR primers, 10 RAPD and nine cpSSRs were found polymorphic. The selected 10 RAPD primers produced a total of 96 reproducible bands, out of which 65 were polymorphic （67.70%）. Whereas, the selected nine cpSSR markers produced 26 alleles and all of them were polymorphic. The mean genetic diversity （H T ） among populations using RAPD （H T = 0.263） and cpSSR （H T = 0.530） markers was higher in comparison to the mean genetic diversity within populations. Mean coefficient of gene differentiation （G ST ） between the populations was also high for both RAPD （G ST = 0.830） and cpSSR markers （G ST = 0.735）, whereas the estimated gene flow was very low for RAPD （Nm = 0.102） and for cpSSR （Nm = 0.179）. AMOVA analysis revealed that more genetic variation resided among the populations than within populations. Significant differences （p 0.001） were observed between the populations and individuals within the populations. Cluster analysis of RAPD and cpSSR data using UPGMA algorithm based on Nei’s genetic similarity matrix placed the 50 populations into two main clusters. The implication of the results of this study in devising strategy for conservation of A. calamus is discussed.
ISSN:1007-662X
1993-0607
DOI:10.1007/s11676-011-0181-9