Publication: Molecular characterization and genetic relationship of marigolds (Tagetes spp.) based on simple sequence repeat markers
Issued Date
2014-01-01
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ISSN
1479263X
14792621
14792621
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2-s2.0-84908700904
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Mahidol University
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SCOPUS
Bibliographic Citation
Plant Genetic Resources: Characterisation and Utilisation. Vol.12, No.3 (2014), 317-322
Suggested Citation
Sukhuman Whankaew, Supaporn Hasthanasombut, Ratchadaporn Thaikert, Piengtawan Tappiban, Duncan R. Smith, Kanokporn Triwitayakorn Molecular characterization and genetic relationship of marigolds (Tagetes spp.) based on simple sequence repeat markers. Plant Genetic Resources: Characterisation and Utilisation. Vol.12, No.3 (2014), 317-322. doi:10.1017/S1479262114000100 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/33105
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Title
Molecular characterization and genetic relationship of marigolds (Tagetes spp.) based on simple sequence repeat markers
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Abstract
© 2014 NIAB. In this study, simple sequence repeats (SSRs) specific to marigold were developed using the inter-SSR technique and a SSR-enriched genomic DNA library. In addition, SSRs derived from sunflower (Helianthus annuus) were also tested for transferability to marigold. In total, 38 polymorphic markers with 112 observed alleles were identified in 20 African marigolds (Tagetes erecta L.) consisting of 14 commercial varieties and six Thai landraces, and six French marigolds (Tagetes patula L.). The number of alleles per locus ranged from 2 to 7. The averages of expected and observed heterozygosities were 0.48 and 0.32, respectively. Polymorphic information content values ranged from 0.10 to 0.71, and resolving power (R p) values ranged from 0.23 to 2.77. The SSRs were successfully applied to the differentiation of the 26 marigold samples into clusters of African commercial varieties, Thai landraces and French marigold. The genetic relationship analysis revealed that the African commercial varieties were more closely related to the Thai landraces than to the French marigold. The results of the study indicate that the SSRs developed are effective for genetic diversity analysis, species classification and individual identification.