Vol. 8, Issue 4 (2020)
Molecular Distinguishness among rice (Oryza sativa L.) landrace of Central India using microsatellite markers
Author(s): Abhinav Sao, Praveen Panigrahi, Prafull Kumar and Hemant Sahu
Abstract: Molecular characterization of the genotypes gives precise information about the extent of genetic diversity which helps in the development of an appropriate breeding program. A total of 16 microsatellite (SSR) markers distributed across the rice genome were used for molecular characterization and discrimination of 100 local landraces of rice. The molecular data revealed a total of 24 alleles in 100 rice accessions, The number of alleles per locus generated by each marker ranged from 1 to 5 alleles with the mean of 1.5 alleles per locus and an average polymorphism information content (PIC) of 0.387. This suggests that these markers could be potentially used for molecular characterization of rice accession from various sources. Microsatellite markers (SSR) are also used to detect the genetic similarity of accessions of rice under study. The genetic similarity coefficient ranged from 0.76-1.00 as revealed by UPGMA cluster analysis using the 16 SSR markers. A total of four distinct groups resulted at a cut-off similarity coefficient of 0.83 among the 100 rice accessions. Allelic variability among the SSR markers was high enough to categorize landraces and to catalogue the genetic variability observed for future use. The information about the genetic diversity will be very useful for proper identification and selection of appropriate parents for breeding programs, including gene mapping, and ultimately for emphasizing the importance of marker-assisted selection (MAS) in rice improvement.
DOI: 10.22271/chemi.2020.v8.i4h.9741
Pages: 1046-1050 | 500 Views 72 Downloads
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How to cite this article:
Abhinav Sao, Praveen Panigrahi, Prafull Kumar, Hemant Sahu. Molecular Distinguishness among rice (Oryza sativa L.) landrace of Central India using microsatellite markers. Int J Chem Stud 2020;8(4):1046-1050. DOI: 10.22271/chemi.2020.v8.i4h.9741
