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Genetic diversity analysis in chrysanthemum (Dendranthema grandiflora Tzvelev) using SSR markers: corroborating mutant behaviour of newly evolved genotypes

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Abstract

Molecular characterization and genetic diversity analysis were performed using SSR molecular markers in a commercially important ornamental chrysanthemum (Dendranthema grandiflora Tzvelev) involving standard cultivars and newly evolved genotypes. The total number of alleles was found to be 113 with an average of 4.34 per locus using 26 polymorphic SSR primers out of the 35 total SSRs initially screened. An average of 90.53 percent polymorphism was observed in the characterized genotypes with an average number of 1.03 monomorphic and 3.31 polymorphic bands. The mean polymorphic information content, effective multiplex ratio (EMR), Shannon index (I), expected (He), observed heterozygosity (Ho), observed allele number (Na), effective allele number (Ne), marker index (MI), and resolving power (Rp) were observed at 0.63, 2.44, 1.00, 0.60, 0.69, 3.73, 2.60, 1.78 and 4.18, respectively. The minimum and maximum similarity values ​​based on the Jaccard coefficient were observed to be 0.41 to 0.80. The population structure showed an admixture of three different genetic pools in the examined genotypes. The DARwin-based neighbor joining analysis also revealed two genotypes, namely UHFSCr-114 and UHFSCr-122, were more prominent than the rest of the chrysanthemum genotypes. Furthermore, it has already been observed in our previous studies that these two newly evolved genotypes were also found diversified in terms of their phenotypic characteristics. Therefore, in the present study, we observed high genetic variability among the studied genotypes as well as verified the mutant behaviour of newly evolved chrysanthemum genotypes at the molecular level. In addition, the current results would also accelerate and facilitate work on the release of highly diversified chrysanthemum genotypes as new cultivars in the near future.

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Acknowledgements

The authors are grateful to the Indian Council of Agricultural Research (ICAR), New Delhi, India for providing funds through a central assistance scheme.

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AT: conducted PCR-based studies, data recording, writing rough draft of the manuscript; RS: conceptualization, methodology, overall supervision, manuscript editing and finalization; SRD: procurement of genotypes, data recording on phenotypic attributes, manuscript editing; RN: data recording on phenotypic attributes, data analysis; AS: molecular data recording. All authors have read and agreed to the published version of the manuscript.

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Correspondence to Rajnish Sharma.

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Thakur, A., Sharma, R., Dhiman, S.R. et al. Genetic diversity analysis in chrysanthemum (Dendranthema grandiflora Tzvelev) using SSR markers: corroborating mutant behaviour of newly evolved genotypes. Genet Resour Crop Evol 70, 449–460 (2023). https://doi.org/10.1007/s10722-022-01438-y

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  • DOI: https://doi.org/10.1007/s10722-022-01438-y

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