Combination of Biochemical, Molecular, and Synchrotron-Radiation-Based Techniques to Study the Effects of Silicon in Tomato (Solanum Lycopersicum L.)

Int J Mol Sci. 2022 Dec 13;23(24):15837. doi: 10.3390/ijms232415837.

Abstract

The work focused on the analysis of two cultivars of tomato (Solanum lycopersicum L.), Aragon and Gladis, under two different treatments of silicon, Low, 2 L of 0.1 mM CaSiO3, and High, 0.5 mM CaSiO3, weekly, for 8 weeks, under stress-free conditions. We subsequently analyzed the morphology, chemical composition, and elemental distribution using synchrotron-based µ-XRF techniques, physiological, and molecular aspects of the response of the two cultivars. The scope of the study was to highlight any significant response of the plants to the Si treatments, in comparison with any response to Si of plants under stress. The results demonstrated that the response was mainly cultivar-dependent, also at the level of mitochondrial-dependent oxidative stress, and that it did not differ from the two conditions of treatments. With Si deposited mainly in the cell walls of the cells of fruits, leaves, and roots, the treatments did not elicit many significant changes from the point of view of the total elemental content, the physiological parameters that measured the oxidative stress, and the transcriptomic analyses focalized on genes related to the response to Si. We observed a priming effect of the treatment on the most responsive cultivar, Aragon, in respect to future stress, while in Gladis the Si treatment did not significantly change the measured parameters.

Keywords: chemical analyses; elemental imaging; molecular analyses; physiological analyses; silicon; tomato.

MeSH terms

  • Gene Expression Profiling
  • Oxidative Stress
  • Silicon / pharmacology
  • Solanum lycopersicum* / genetics
  • Synchrotrons

Substances

  • Silicon

Grants and funding

This research was funded by POR FESR 2014–2020 Region Emilia-Romagna, grant FERTILIAS and Elettra Sincrotrone Trieste, grant number 20165305. This research benefited from the equipment and interaction network made available by the COMP-HUB Initiative, funded by the Departments of Excellence program of the MIUR (2018–2022). The funding sources had no involvement in study design, collection, analysis and interpretation of data, writing, decision to submit the paper.