Proteomics to identify pathogenesis-related proteins in rice roots under water deficit

Biologia ◽  
2011 ◽  
Vol 66 (3) ◽  
Author(s):  
Ling Yang ◽  
Na Su ◽  
Mancheng Wu ◽  
Changchun Wang ◽  
Haitao Hu

AbstractUpland and lowland rice (Oryza sativa L.) showed different mechanisms of water stress resistance. Hydroponically grown 3-week-old seedlings of a lowland variety IR64 and an upland variety were exposed to 15% polyethylene glycol (PEG-6000). After 7 d of treatment, IR64 maintained high relative water content and developed a well-branched root. Therefore, IR64 had better water-deficit tolerance than Azucena under PEG treatment. To identify water-deficit-responsive proteins associated with the tolerance differences between two ecotypes, a comparative proteomic analysis of roots was conducted. Out of 700 proteins reproducibly detected on two-dimensional electrophoresis gels, 65 proteins exhibited significant changes in at least one ecotype at 48 h of water deficit. Only 15 proteins showed different responses to water deficit between the two ecotypes. Twelve proteins were identified by matrix-assisted laser desorption/ionization-time of flight/time of flight-mass spectrometry, which involved in energy and metabolism, protein processing and degradation, detoxification and pathogenrelated (PR) proteins, i.e. PR-1a, RSOsPR10 and JIOsPR10. All three PR proteins were induced more strongly in IR64 than in Azucena by water deficit at both protein and mRNA level. The results suggested that PR-1a, RSOsPR10 and JIOsPR10 may play important roles in protecting root cells against water deficit in rice.

2021 ◽  
Vol 64 (1) ◽  
Author(s):  
Seung-A. Baek ◽  
So Yeon Kim ◽  
Young Jin Park ◽  
Tae Jin Kim ◽  
Sun-Hyung Lim ◽  
...  

AbstractTwo-dimensional gas chromatography coupled to time-of-flight mass spectrometry (GC  ×  GC-TOFMS) is a powerful tool for identification of compounds in complex samples. Herein, we compared the GC  ×  GC-TOFMS and GC-TOFMS systems for polar metabolite profiling of rice seeds. Forty-seven and thirty-six metabolites were detected in a Korean rice cultivar, Dongjin, using GC  ×  GC-TOFMS and GC-TOFMS, respectively. The limits of detection of shikimic, p-coumaric, and sinapinic acids were 30.0-, 1.6-, and 2.5-times lower, respectively, with GC  ×  GC-TOFMS than with GC-TOFMS. The overlapped peaks of glycerol and phosphoric acid in GC-TOFMS were separated in GC  ×  GC-TOFMS. Polar metabolite profiling of two white and six red rice cultivars was performed using GC  ×  GC-TOFMS and the obtained data were subjected to principal component analysis. Remarkably, principal component 1 separated Heugdaegu from other cultivars, indicating that Heugdaegu has high levels of caffeic, sinapinic, and vanillic acids. Findings from this work may aid breeding programs aimed at improving the quality of rice seeds.


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