Journal of
Horticulture and Forestry

  • Abbreviation: J. Hortic. For.
  • Language: English
  • ISSN: 2006-9782
  • DOI: 10.5897/JHF
  • Start Year: 2009
  • Published Articles: 314

Full Length Research Paper

Genetic diversity and population structure of 151 Cymbidium sinense cultivars

Jiangjie Lu 1,2, Xu Hu1, Junjun Liu3 and Huizhong Wang1*
1Key Laboratory for Systems Biology of Medicinal and Ornamental Plants, Hangzhou Normal University, Hangzhou 310018, China. 2Institute of Soybean, Nanjing Agricultural University, Nanjing 210095, China. 3Pacific Forestry Centre, Canadian Forest Service, Natural Resources Canada, Victoria V8Z 1M5, Canada.
Email: [email protected]

  •  Accepted: 31 January 2011
  •  Published: 30 April 2011


Cymbidium sinense cultivars exhibit an incredible range of diversity in the foliar morphology as well as the range of flower colors and shapes, which make them more popular among horticultural plants with great economic value. Understanding the genetic diversity and population structure in target populations will be of great importance for germplasm collection, breeding improvement and conversation of this species. In this study, Inter-simple sequence repeat (ISSR) markers were used to assess the genetic diversity and population structure of 151 C. sinense cultivars collected from China and Japan. C. sinense cultivars exhibited moderate levels of genetic diversity (H = 0.24, I = 0.38, Ppl = 100%) and genetic differentiation (Gst = 0.17) with gene flow estimate Nm of 2.4 among six geographical groups. With neighbor joining (NJ) analysis, 151 cultivars were clustered into seven main groups, and approximately related to their geographical distribution. Population structure analysis revealed six subpopulations, generally consistent with NJ-clustering. The results in our study suggest that different provenance collection and in situconversation are important for C. sinense conservation and genetic improvement.


Key words: Cymbidium sinense, DNA polymorphism, genetic diversity, inter-simple sequence repeat, population structure.