Assessment of Genetic Diversity of Drought Tolerant and Susceptible Rice Genotypes Using Microsatellite Markers

Autor: Lambodar Behera, Jitendra Kumar, Pradosh Mahadani, Manoj K. Gupta, Sk Yasin Baksh, Ravindra Donde, SK Dash, Gayatri Gouda, Khirod Kumar Sahoo, Mitadru Mukherjee
Rok vydání: 2019
Předmět:
Zdroj: Rice Science, Vol 26, Iss 4, Pp 239-247 (2019)
ISSN: 1672-6308
DOI: 10.1016/j.rsci.2019.01.004
Popis: The introgression of wild chromosomal segments into popular rice varieties is one of the potential approaches for developing varieties for drought stress condition. Sixteen genotypes, including nine indica, two tropical japonica and five chromosome segments substitution lines (CSSLs) with different levels of tolerance/susceptibility to drought stress, were selected for diversity study. Sixty-three microsatellite markers were utilized for assessing genetic diversity. A total of 95 alleles were amplified, and out of them, 60 were polymorphic. Six unique alleles, amplified by the microsatellite loci RM276, RM472, RM488, RM537, RM541 and RM28089, were identified in six genotypes, namely FR13A, Brahamanakhi, RUF44, Swarna-sub1, Brahamanakhi and Satyabhama. The highest genetic similarity was found among CSSLs. Polymorphism information content (PIC) value varied from 0 to 1.00 with an average of 0.66 per locus. Twenty-eight microsatellites were found to be polymorphic, which could be used in marker-assisted selection programme. All the sixteen genotypes were grouped into two major clusters at genetic similarity of 0.64. In the cluster I, five CSSLs identified as diverse genotypes had wild ancestor segments responsible for drought tolerance, and hence they could be utilized as potential donors. The popular Indian varieties, Swarna-sub1 and IR64-sub1, could be used as recurrent parents in the future breeding program for developing varieties for abiotic stresses such as submergence and drought. Keywords: Genetic diversity, Marker-assisted selection, Microsatellite marker, Rice, Drought stress, Submergence, Chromosome segment substitution line
Databáze: OpenAIRE