Abstract
Molecular genetic fingerprints of nine Curcuma species from Northeast India were developed using PCR-based markers. The aim involves elucidating there intra- and inter-specific genetic diversity important for utilization, management, and conservation. Twelve random amplified polymorphic DNA (RAPD), 19 Inter simple sequence repeats (ISSRs), and four amplified fragment length polymorphism (AFLP) primers produced 266 polymorphic fragments. ISSR confirmed maximum polymorphism of 98.55% whereas RAPD and AFLP showed 93.22 and 97.27%, respectively. Marker index and polymorphic information content varied in the range of 8.64–48.1, 19.75–48.14, and 25–28 and 0.17–0.48, 0.19–0.48, and 0.25–0.29 for RAPD, ISSR, and AFLP markers, respectively. The average value of number of observed alleles, number of effective alleles, mean Nei’s gene diversity, and Shannon’s information index were 1.93–1.98, 1.37–1.62, 0.23–0.36, and 0.38–0.50, respectively, for three DNA markers used. Dendrograms based on three molecular data using unweighted pair group method with arithmetic mean (UPGMA) was congruent and classified the Curcuma species into two major clusters. Cophenetic correlation coefficient between dendrogram and original similarity matrix were significant for RAPD (r = 0.96), ISSR (r = 0.94), and AFLP (r = 0.97). Clustering was further supported by principle coordinate analysis. High genetic polymorphism documented is significant for conservation and further improvement of Curcuma species.
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Abbreviations
- AFLP:
-
Amplified fragment length polymorphism
- EDTA:
-
Ethylenediaminetetraacetic acid
- EtBr:
-
Ethidium bromide
- ISSR:
-
Inter simple sequence repeat
- PCA:
-
Principle coordinate analysis
- PIC:
-
Polymorphic information content
- PCR:
-
Polymerase chain reaction
- RAPD:
-
Random amplified polymorphic DNA
- TE:
-
Tris–EDTA buffer
- UPGMA:
-
Unweighted pair group method with arithmetic mean
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Acknowledgments
Authors are thankful to Ministry of Human Resources Development (MHRD), Government of India for fellowship. Thanks to Dr Sarma, Gauhati University for kind supply of study material. LR acknowledges funding by the Ministry of Information Technology, Government of India.
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Archana Das and Vigya Kesari equally contributed to this article.
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Das, A., Kesari, V., Satyanarayana, V.M. et al. Genetic Relationship of Curcuma Species from Northeast India Using PCR-Based Markers. Mol Biotechnol 49, 65–76 (2011). https://doi.org/10.1007/s12033-011-9379-5
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DOI: https://doi.org/10.1007/s12033-011-9379-5