Abstract
White clover (Trifolium repens L.) is an important perennial legume forage with high productivity and quality. To strengthen the basic research on the genetic characteristics, fingerprint identification and adaptability of white clover germplasm resources, Simple sequence repeat (SSR) molecular markers were applied to 10 white clover cultivars to assess the genetic diversity and related lines of white clover at the molecular level in order to lay a theoretical foundation for the selection of high-quality seeds and cultivars of white clover. A total of 120 different bands were amplified by 29 pairs of SSR primers with good polymorphism, of which 103 (89.5%) were polymorphic. Meanwhile, the PIC of each primer was 0.181–0.588, with an average of 0.329. Analysis of molecular variance revealed that 57% of the genetic variation occurred within cultivars and 43% occurred among cultivars. The results of cluster analysis and the principal coordinate analysis revealed that the parental relationships of the 10 cultivars, with the ‘Purple’ cultivar very distantly related to the other 9 cultivars and the closest parental relationship between ‘Ladino’ and ‘Sulky’. The fingerprints constructed by three representative primers (gtrs679, gtrs319, and gtrs678) have a strong identification ability. In summary, the SSR markers had good polymorphism and could be used for DNA fingerprint analysis of white clover cultivars.
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This study was funded by Modern Agro-industry Technology Research System (CARS-34), the Grassland Basic Resources Investigation Research in China (2017FY100602).
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All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by XZ, GN, SM and CH. The first draft of the manuscript was written by SM, CH and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
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Sainan Ma and Chongyang Han are the co-first authors.
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Ma, S., Han, C., Zhou, J. et al. Fingerprint identification of white clover cultivars based on SSR molecular markers. Mol Biol Rep 47, 8513–8521 (2020). https://doi.org/10.1007/s11033-020-05893-7
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DOI: https://doi.org/10.1007/s11033-020-05893-7