Abstract
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.
Highlights
Rice (Oryza sativa L.) landraces possess tremendous genetic variation
Leaf sample collected from experimental field of Bangladesh Institute of Nuclear Agriculture (BINA) and analyzed by a highly repeatable PCR based fingerprinting assay known as Simple Sequence Repeat (SSR) or microsatellites markers
The microsatellite enriched DNA fingerprint was carried out using the standard procedures
Summary
Rice (Oryza sativa L.) landraces possess tremendous genetic variation. Evaluation of this terrific genetic diversity is very important for their rational use to diverse needs. It is not possible to meet up the striking demands of resource-restricted grower by the limited number of high-yielding and modern varieties[1]. Large number of high yielding and quality varieties are required to accomplish specific socio-economic and agricultural needs. Estimation of genetic parameters is thought to be useful in identifying the average genetic variation among the genotypes. The differences in allele frequencies among different populations and the differences in the level of polymorphism among populations will serve greatly in this purpose[2]
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