European Food Research and Technology

, Volume 231, Issue 1, pp 143–150 | Cite as

Estimation of the homoplasmy degree for transplastomic tobacco using quantitative real-time PCR

  • Huifeng Shen
  • Bingjun Qian
  • Litao Yang
  • Wanqi Liang
  • Weiwei Chen
  • Zhenhua Liu
  • Dabing Zhang
Original Paper


Estimation of the homoplasmy of transgene in chloroplast is a necessary step in chloroplast transformation. This task is usually achieved by Southern blot analysis, which is laborious, time-consuming, requires large amounts of plant materials and needs hazardous radioisotopes in some cases. To develop a fast, sensitive, stable and effective technique for determining the homoplasmy of transgene in chloroplast, one real-time PCR system based on TaqMan probe technique was developed for evaluating the homoplasmy degree. In the real-time PCR system, one assay targets the exogenous faeG gene, and another one the tobacco chloroplast reference gene, maturase gene within the trnK intron (matK). The homoplasmy of the transgene was determined by the comparison of copy number of faeG and matK. The analyzed results of 17 transplastomic tobacco lines using the developed real-time PCR system were consistent with those from Southern blot analysis, indicating that the real-time PCR method is suitable for estimating the homoplasmy degree of transplastomic plant with the advantages of high efficiency and throughput, low cost and saving time.


Transplastomic tobacco Real-time quantitative PCR Homoplasmy degree 



This work was supported by funds from the National Basic Research Program of China (2009CB941500, 2007CB109201), the National Natural Science Foundation of China (30725022, 30830014 and 90717109), the National Transgenic Plant Special Fund (2008ZX08012-002 and 2009ZX08012-002B), the National HighTechnology Research and Development Program (“863”Program) of China (2007AA10Z184) and the Shanghai Leading Academic Discipline Project (B205).


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Copyright information

© Springer-Verlag 2010

Authors and Affiliations

  • Huifeng Shen
    • 1
  • Bingjun Qian
    • 2
  • Litao Yang
    • 1
  • Wanqi Liang
    • 1
  • Weiwei Chen
    • 1
  • Zhenhua Liu
    • 1
  • Dabing Zhang
    • 1
  1. 1.GMO Detection Laboratory, SJTU-Bor Luh Food Safety Center, School of Life Science and TechnologyShanghai Jiao Tong UniversityShanghaiPeople’s Republic of China
  2. 2.Department of Food Science and Engineering, School of Agriculture and BiologyShanghai Jiao Tong UniversityShanghaiPeople’s Republic of China

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