Early Changes in S-Nitrosoproteome in Soybean Seedlings Under Flooding Stress
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The shift from aerobic to anaerobic respiration is crucial for soybean response to flooding stress; however, the regulatory mechanism in action at the initial stage of flooding stress has not been fully elucidated. To identify this mechanism in soybean, proteomic analysis of S-nitrosylated proteins was performed with emphasis on nitric oxide (NO)-mediated regulation in soybean seedlings. Removal of NO by addition of 2-(4-carboxyphenyl)-4,4,5,5-tetramethylimidazoline-1-oxyl-3-oxide (cPTIO) partially restored seedling growth. After 3, 9, and 24 h of flooding stress, the S-nitrosylation status of 364, 188, and 186 proteins was altered relative to the corresponding status before flooding, respectively. Abundance of S-nitrosylated forms of 2, 186, and 162 proteins differed between the untreated control and flooded soybean plants after 3, 9, and 24 h of flooding stress, respectively. After flooding for 3 h, development, stress, and glycolysis/fermentation categories were identified as the top categories including proteins for which abundance of S-nitrosylated forms increased. Visualization of changes in S-nitrosylation profile by pathway mapping indicated a characteristic pattern in glycolysis/fermentation. Western blot analysis confirmed that S-nitrosylated status of alcohol dehydrogenase increased with flooding. These results suggest that S-nitrosylation comprises rapid molecular processes that change the abundance of the active form of alcohol dehydrogenase.
KeywordsSoybean Flooding stress S-nitrosylation Fermentation Alcohol dehydrogenase
We are grateful to Dr. Xin Wang for the technical support of this research.
This work was supported by JSPS KAKENHI Grant Number JP15H04445.
Compliance with Ethical Standards
Conflict of Interest
The authors declare that they have no conflict of interest.
This article does not contain any studies with human or animal participants performed by any of the authors.
- Arasimowicz-Jelonek M, Floryszak-Wieczorek J, Deckert J, Rucińska-Sobkowiak R, Gzyl J, Pawlak-Sprada S, Abramowski D, Jelonek T, Gwóźdź EA (2012) Nitric oxide implication in cadmium-induced programmed cell death in roots and signaling response of yellow lupine plants. Plant Physiol Biochem 58:124–134CrossRefGoogle Scholar
- Nanjo Y, Skultety L, Uváčková L, Klubicová K, Hajduch M, Komatsu S (2012) Mass spectrometry-based analysis of proteomic changes in the root tips of flooded soybean seedlings. J Proteome Res 11:372–385Google Scholar
- Usadel B, Nagel A, Thimm O, Redestig H, Blaesing OE, Palacios-Rojas N, Selbig J, Hannemann J, Piques MC, Steinhauser D, Scheible WR, Gibon Y, Morcuende R, Weicht D, Meyer S, Stitt M (2005) Extension of the visualization tool MapMan to allow statistical analysis of arrays, display of corresponding genes, and comparison with known responses. Plant Physiol 138:1195–1204CrossRefGoogle Scholar
- Vizcaíno JA, Côté RG, Csordas A, Dianes JA, Fabregat A, Foster JM, Griss J, Alpi E, Birim M, Contell J, O’Kelly G, Schoenegger A, Ovelleiro D, Pérez-Riverol Y, Reisinger F, Ríos D, Wang R, Hermjakob H (2013) The PRoteomics IDEntifications (PRIDE) database and associated tools: status in 2013. Nucleic Acids Res 41(Database issue):D1063–D1069PubMedGoogle Scholar
- Wang X, Sakata K, Komatsu S (2018) An integrated approach of proteomics and computational genetic modification effectiveness analysis to uncover the mechanisms of flood tolerance in soybeans. Int J Mol Sci 19:5Google Scholar