Open AccessMolecular Characterization of Different Varieties of rice (Oryza sativa L.) using SSR Markers
Author(s) -
Khumeshwar Jhangel,
Keerti Tantwai,
Niraj Tripathi,
Sajjan Kumar Pooniya,
Sharad Tiwari,
Sangita Sahni,
Bishun Deo Prasad
Publication year - 2022
Publication title -
international journal of plant and soil science
Language(s) - English
Resource type - Journals
ISSN - 2320-7035
DOI - 10.9734/ijpss/2022/v34i630880
Subject(s) - jaccard index , oryza sativa , genetic diversity , biology , allele , primer (cosmetics) , cultivar , genetics , microbiology and biotechnology , horticulture , mathematics , gene , population , statistics , medicine , cluster analysis , chemistry , environmental health , organic chemistry
The present study was performed to analyze molecular diversity among different varieties of rice using SSR markers, which are effective and reliable tools for this type of analysis. A total of 34 different alleles were generated using 17 SSR primers. Out of these 33 alleles were found to be polymorphic and only one was monomorphic. On average, 2 alleles per primer and 1.94 polymorphic alleles per primer was calculated. In the cluster analysis three varieties KATKIRICE, SONUMRICE and 1010 were found to be diverse from other varieties of rice. These varieties may be used as diverse parents for the future breeding programs for rice improvement. According to Jaccard’s similarity coefficient, the highest genetic diversity was observed between KATKIRICE and CHANDRAHASNI. Both varieties were grouped distantly. Out of 17 primers, the best 10 primers were selected based on polymorphic banding patterns for genetic diversity analysis. These selected 10 primers are sufficient to discriminate the group of rice varieties. These findings not only highlight the capacity of the SSR technique but also help in the selection of diverse rice varieties for conservation and crop improvement.