Next Article in Journal
Physiology Based Approaches for Breeding of Next-Generation Food Legumes
Previous Article in Journal
Plants of Genus Mentha: From Farm to Food Factory
Article Menu
Issue 3 (September) cover image

Export Article

Open AccessArticle
Plants 2018, 7(3), 71; https://doi.org/10.3390/plants7030071

Proteomic Analysis of Rapeseed Root Response to Waterlogging Stress

Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan 430062, China
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Received: 6 August 2018 / Revised: 29 August 2018 / Accepted: 30 August 2018 / Published: 7 September 2018
(This article belongs to the Special Issue Plants Reacts to the Changing Environment)
Full-Text   |   PDF [15345 KB, uploaded 7 September 2018]   |  

Abstract

The overall health of a plant is constantly affected by the changing and hostile environment. Due to climate change and the farming pattern of rice (Oryza sativa) and rapeseed (Brassica napus L.), stress from waterlogging poses a serious threat to productivity assurance and the yield of rapeseed in China’s Yangtze River basin. In order to improve our understanding of the complex mechanisms behind waterlogging stress and identify waterlogging-responsive proteins, we firstly conducted iTRAQ (isobaric tags for relative and absolute quantification)-based quantitative proteomic analysis of rapeseed roots under waterlogging treatments, for both a tolerant cultivar ZS9 and sensitive cultivar GH01. A total of 7736 proteins were identified by iTRAQ, of which several hundred showed different expression levels, including 233, 365, and 326 after waterlogging stress for 4H, 8H, and 12H in ZS9, respectively, and 143, 175, and 374 after waterlogging stress for 4H, 8H, and 12H in GH01, respectively. For proteins repeatedly identified at different time points, gene ontology (GO) cluster analysis suggested that the responsive proteins of the two cultivars were both enriched in the biological process of DNA-dependent transcription and the oxidation–reduction process, and response to various stress and hormone stimulus, while different distribution frequencies in the two cultivars was investigated. Moreover, overlap proteins with similar or opposite tendencies of fold change between ZS9 and GH01 were observed and clustered based on the different expression ratios, suggesting the two genotype cultivars exhibited diversiform molecular mechanisms or regulation pathways in their waterlogging stress response. The following qRT-PCR (quantitative real-time polymerase chain reaction) results verified the candidate proteins at transcription levels, which were prepared for further research. In conclusion, proteins detected in this study might perform different functions in waterlogging responses and would provide information conducive to better understanding adaptive mechanisms under environmental stresses. View Full-Text
Keywords: Keywords: rapeseed; iTRAQ; proteomics; waterlogging stress Keywords: rapeseed; iTRAQ; proteomics; waterlogging stress
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Supplementary material

SciFeed

Share & Cite This Article

MDPI and ACS Style

Xu, J.; Qiao, X.; Tian, Z.; Zhang, X.; Zou, X.; Cheng, Y.; Lu, G.; Zeng, L.; Fu, G.; Ding, X.; Lv, Y. Proteomic Analysis of Rapeseed Root Response to Waterlogging Stress. Plants 2018, 7, 71.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Plants EISSN 2223-7747 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top