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Euphytica

, Volume 206, Issue 2, pp 331–342 | Cite as

Variation and genetic stability analyses of transgenic TaLEA poplar clones from four different sites in China

  • Mengran Liu
  • Shaopeng Yin
  • Dongjing Si
  • Longting Shao
  • Ying Li
  • Mi Zheng
  • Fuwei Wang
  • Shuchun Li
  • Guifeng Liu
  • Xiyang ZhaoEmail author
Article

Abstract

Scientists have widely applied transgenic technology to plants. We transferred the TaLEA gene to Populus simonii × P. nigra (Xiaohei Poplar), obtained ten transgenic poplar clones and analyzed these clones in a greenhouse and woodland. The heights (H), basal diameters (BD), and diameter at breast high (DBH) were significantly different (P < 0.01) among the 11 test clones (the ten above and one non-transgenic clone, the control). Trees from the Xinhua site, that had low soil pH and conductivity, showed the largest H and DBH. Clone XL-1 showed the highest H, BD and DBH among the test 11 clones for 1-year-old or 3-years-old trees. The phenotypic coefficient of variation and repeatability (R) of all the traits ranged from 19.33 to 41.22 % and 0.772 to 0.965, respectively. AMMI analysis results showed that genotype (G), environment (E) and G × E interaction were highly significantly correlated (P < 0.01). Stability analysis indicated some clones that produced tall or average trees were sensitive to or resistant to adverse environmental conditions, respectively. These results suggested that the number of copies of TaLEA gene or the different integration site of each clone were not exactly same, resulting in a variety of genetic and phenotype effects. The research can provide theoretical basis for tree genetic in saline.

Keywords

Populus simonii × P. nigra TaLEA Stability Genotype AMMI 

Notes

Acknowledgments

We acknowledge the Fundamental Research Funds for the Central Universities (No. 2572014CA16) and China Postdoctoral Science Foundation (2014M561315) support for the research.

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Copyright information

© Springer Science+Business Media Dordrecht 2015

Authors and Affiliations

  • Mengran Liu
    • 1
  • Shaopeng Yin
    • 1
  • Dongjing Si
    • 1
  • Longting Shao
    • 1
  • Ying Li
    • 1
  • Mi Zheng
    • 1
  • Fuwei Wang
    • 2
  • Shuchun Li
    • 2
  • Guifeng Liu
    • 1
  • Xiyang Zhao
    • 1
    Email author
  1. 1.State Key Laboratory of Tree Genetics and Breeding (Northeast Forestry University)Northeast Forestry UniversityHarbinPeople’s Republic of China
  2. 2.Tree Seedling Management StationThe Forestry Department of Jilin ProvinceChangchunPeople’s Republic of China

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