| Title |
Population structure and genetic diversity analysis of Indian and exotic rice (Oryza sativa L.) accessions using SSR markers
|
|---|---|
| Published in |
Molecular Biology Reports, March 2014
|
| DOI | 10.1007/s11033-014-3304-5 |
| Pubmed ID | |
| Authors |
B. Kalyana Babu, Vimla Meena, Vasudha Agarwal, P. K. Agrawal |
| Abstract |
In order to understand the population structure and genetic diversity among a set of 82 rice genotypes collected from different parts of the Asian countries including India were characterized using 39 microsatellite loci. The Population structure analysis suggested that the optimum number of subpopulations was four (K = 4) among the rice genotypes, whereas phylogenetic analysis grouped them into three populations. The results obtained from phylogenetic and STRUCTURE analysis proved to be very powerful for the differentiation of rice genotypes based on their place of origin. The genetic diversity analysis using 39 SSR loci yielded 183 scorable alleles, out of which 182 alleles were observed to be polymorphic with an average of 4.8 alleles per locus. The Polymorphism Information Content (PIC) values for all the polymorphic primers across 82 rice genotypes varied from 0.02 to 0.77, with an average of 0.50. Gene diversity (He) was found to be in the range of 0.02 (RM484) to 0.80 (OSR13) with an average value of 0.55, while heterozygosity (Ho) was observed with an average of 0.07, ranging from 0.01 (RM334) to 0.31 (RM316). The present study resulted in identification of seven highly polymorphic SSR loci viz., OSR13, RM152, RM144, RM536, RM489, RM259 and RM271 based on the parameters like PIC value (≥0.70), gene diversity (≥0.71), and polymorphic alleles (≥6). These seven polymorphic primers can effectively be used in further molecular breeding programs and QTL mapping studies of rice since they exhibited very high polymorphism over other loci. SSR analysis resulted in a more definitive separation of clustering of genotypes indicating a higher level of efficiency of SSR markers for the accurate determination of relationships between accessions. |
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 22% |
| Student > Doctoral Student | 7 | 19% |
| Student > Bachelor | 4 | 11% |
| Professor > Associate Professor | 3 | 8% |
| Researcher | 2 | 5% |
| Other | 6 | 16% |
| Unknown | 7 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 21 | 57% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Unspecified | 1 | 3% |
| Economics, Econometrics and Finance | 1 | 3% |
| Physics and Astronomy | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 10 | 27% |
Attention Score in Context
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