Jasmonic acid induced protein response to biophoton emissions and flooding stress in soybean.

Biophoton emissions were elevated by the exogenous plant hormone application such as jasmonic (JA) and salicylic acid (SA). To reveal the molecular mechanisms underlying flooding stress responses in soybean treated with JA and SA, biophoton emissions from plants were quantified in combination with proteomic analyses. Furthermore, treatment with exogenous JA inhibited lateral root growth and markedly reduced root weight. Out of 649 proteins identified in the JA- and JA/SA-treated plants, 44 were unique to JA-treated plants, 403 were unique to JA/SA-treated plants, and 202 were shared between the groups. These proteins were involved in stress, signaling, degradation, glycolysis, fermentation, and hormone metabolism. The abundances of glutathione-S-transferase, alanine aminotransferase, and malate dehydrogenase were decreased; however, the activities of these enzymes were increased. In contrast, the abundance and activity of monodehydroascorbate reductase increased in the roots of plants treated with JA and SA under flooding stress. This suggests that the quantity of lateral roots, total root mass, and free radicals generated during oxidation and reduction reactions and reactive oxygen species scavenging largely contribute to biophoton emission. Furthermore, monodehydroascorbate reductase, which is involved in detoxification and controlling hydrogen peroxide levels, may protect plant cells against oxidative damage during flooding. BIOLOGICAL SIGNIFICANCE: To understand the source of biophoton emission and molecular mechanism by the application of jasmonic and salicylic acid under flooding conditions in soybean plants, the label-free quantitative techniques were performed in roots. Root lengths and weights were significantly reduced by the effect of jasmonic and salicylic acid while it inhibited growth of the lateral roots in normal conditions using the jasmonic acid. Finally, identified proteins were functionally annotated by MAPMAN software application; that were assigned to different functional categories, such as stress, signaling, protein, glycolysis, metabolism, cell wall, and cell organization. Consequently, this study offers to learn the photon emission in plants and to know the molecular mechanism under flooding stress in soybean.