• P-ISSN 0974-6846 E-ISSN 0974-5645

Indian Journal of Science and Technology


Indian Journal of Science and Technology

Year: 2019, Volume: 12, Issue: 28, Pages: 1-7

Original Article

DNA Fingerprinting and Diversity Analysis of Some Aus Rice Landraces


Objective: The allelic diversity and relationship among 48Aus rice landraces were determined through SSR markers. A total of 11 SSR markers were used to characterize all Aus rice genotypes. Methods/Findings: All of them were polymorphic showing different chromosome numbers. The number of alleles per locus varied from 3 alleles (RM234 and RM277) to 15 alleles (RM493). A total number of 72 alleles were detected with an average number of 8.91 alleles per locus. The polymorphic information content (PIC) values ranged from 0.19 (RM277) to 0.90 (RM493) with an average 0.70. The highest PIC value was obtained in RM493 (0.89) followed by RM526 (0.85) and The highest genetic dissimilarity (1.00) was found among the nineteen Aus genotypes combinations viz., Kalojira TAPL-68, Busmoti-sufoid, Hatisail, Sakharkhara, Khasa, Black, Ukinmodhu, Fulkari, Porbotjira, Straw THPL-554, Kalonunia, China IRRI, Mehedhan, Tulsimoni, Meny, Tilkapur, Nunia, Lalmota and Tapu. This material may be selected as potential parents for crop improvement for their distinctive characters. Whereas lowest genetic dissimilarity was found between Chini sagor-1 vs Malshira and Kalijir TAPL74 vs Kalojira (0.18) followed by three other pairs (0.28). Application: The genetic distance-based results seen in the Unweighted Pair Group Method of Arithmetic means (UPGMA) revealed six genetic groups. These landraces will be useful for the selection of diverse parents, background selection during backcross breeding programs and assist in broadening germplasm-based rice breeding programs in the near future.

Keywords: DNA Fingerprinting, Genetic Diversity, Landraces, Microsatellites.


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