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Deep sequencing analysis of the transcriptomes of peanut aerial and subterranean young pods identifies candidate genes related to early embryo abortion

  1. Xiaoping Chen1,
  2. Wei Zhu1,2,
  3. Sarwar Azam3,
  4. Heying Li4,
  5. Fanghe Zhu1,
  6. Haifen Li1,
  7. Yanbin Hong1,
  8. Haiyan Liu1,
  9. Erhua Zhang1,
  10. Hong Wu4,
  11. Shanlin Yu5,
  12. Guiyuan Zhou1,
  13. Shaoxiong Li1,
  14. Ni Zhong1,
  15. Shijie Wen1,
  16. Xingyu Li1,
  17. Steve J. Knapp6,
  18. Peggy Ozias-Akins6,
  19. Rajeev K. Varshney1,3,
  20. Xuanqiang Liang1,*

Article first published online: 6 NOV 2012

DOI: 10.1111/pbi.12018

Issue

Plant Biotechnology Journal

Plant Biotechnology Journal

Volume 11, Issue 1, pages 115–127, January 2013

Additional Information

How to Cite

Chen, X., Zhu, W., Azam, S., Li, H., Zhu, F., Li, H., Hong, Y., Liu, H., Zhang, E., Wu, H., Yu, S., Zhou, G., Li, S., Zhong, N., Wen, S., Li, X., Knapp, S. J., Ozias-Akins, P., Varshney, R. K. and Liang, X. (2013), Deep sequencing analysis of the transcriptomes of peanut aerial and subterranean young pods identifies candidate genes related to early embryo abortion. Plant Biotechnology Journal, 11: 115–127. doi: 10.1111/pbi.12018

Author Information

  1. 1

    Crops Research Institute, Guangdong Academy of Agricultural Sciences (GAAS), Guangzhou, China

  2. 2

    College of Life Science, South China Normal University, Guangzhou, China

  3. 3

    International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, India

  4. 4

    State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, South China Agricultural University, Guangzhou, China

  5. 5

    Shandong Peanut Research Institute, Shandong Academy of Agricultural Sciences, Qingdao, China

  6. 6

    University of Georgia, Athens, GA, USA

*Correspondence (fax +862085514269; email Liang-804@163.com)

Publication History

  1. Issue published online: 27 DEC 2012
  2. Article first published online: 6 NOV 2012
  3. Manuscript Accepted: 27 SEP 2012
  4. Manuscript Revised: 8 SEP 2012
  5. Manuscript Received: 10 AUG 2012

Funded by

  • National Natural Science Foundation of China. Grant Numbers: 30971819, 30900907
  • Natural Science Foundation of Guangdong Province. Grant Number: 10151064001000002
  • Science and Technology Planning Project of Guangdong Province. Grant Number: 2011B010500019
  • Pearl River Science and Technology Nova of Guangzhou. Grant Number: 2011J2200035
  • Modern Agro-industry Technology Research System. Grant Numbers: nycycx-19, CARS-14

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