Journal of Plant Growth Regulation

, Volume 36, Issue 1, pp 96–105 | Cite as

Proteomic Analysis of Phloem Proteins Leads to the Identification of Potential Candidates for JA-Mediated RKN-Resistant Elements in Solanum lycopersicum

  • Wenchao Zhao
  • Jinghong Hao
  • Jiayi Xing
  • Rui Yang
  • Fukuan Zhao
  • Jianli Wang
  • Shaohui Wang


Tomato production has been severely affected by root-knot nematode (RKN) diseases, leading to huge economic losses in tomato cultivation, production, and processing. To gain insight into the signal mechanism of resistance to RKN (Meloidogyne incongnita), tomato lines with different endogenous jasmonic acid levels were inoculated with RKN, and the differential proteome of their phloem was analyzed with two-dimensional gel electrophoresis. Analysis of 1400 protein spots from each gel revealed 74 differentially expressed proteins, 30 of which were identifed via matrix-assisted laser-desorption ionization time-of-flight mass spectrometry (MALDI-TOF–MS). Among these 30, the abundance of 25 proteins was elevated in 35S::PS, and five proteins were not expressed in spr2. The total differentially expressed proteins were grouped into multiple functional categories, the largest of which was energy conversion (38 %). Furthermore, we proposed several candidates that might function as potential signal molecules under RKN stress and dissected the multiple roles of proteins related to photosynthesis and energy conversion. The mRNA levels of nine proteins associated with defense responses and energy metabolism were analyzed by qRT-PCR, and the expression levels of five were in line with the proteome data.


Tomato Jasmonic acid Root-knot nematodes resistance Proteome Signal 



CM, spr2, and 35S::PS seeds were donated by Prof. Chuanyou Li from the Institute of Genetics and Developmental Biology, Chinese Academy of Sciences. This work was supported by the Project of Great Wall Scholar, Beijing Municipal Commission of Education (CIT&TCD20130323) and the Modern Agricultural Industry Technology System of Beijing Innovation Team (BAIC01-2016).

Supplementary material

344_2016_9622_MOESM1_ESM.tif (522 kb)
Localization of identified spots on the master gel (TIFF 522 kb)
344_2016_9622_MOESM2_ESM.xlsx (11 kb)
Supplementary material 2 (XLSX 10 kb)
344_2016_9622_MOESM3_ESM.tif (828 kb)
Supplementary material 3 (TIFF 828 kb)


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Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  • Wenchao Zhao
    • 1
  • Jinghong Hao
    • 1
  • Jiayi Xing
    • 1
  • Rui Yang
    • 1
  • Fukuan Zhao
    • 2
  • Jianli Wang
    • 1
  • Shaohui Wang
    • 1
  1. 1.Beijing Key Laboratory for Agricultural Application and New Technique, Plant Science and Technology CollegeBeijing University of AgricultureBeijingChina
  2. 2.Biological Science and Engineering CollegeBeijing University of AgricultureBeijingChina

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