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Journal of Experimental Food Chemistry

ISSN: 2472-0542

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Plant Nutrition

Plant Nutrition may be a large field where there are now the primary indications that metabolite profiling will have an impression. In a landmark study, Hirai et al. have reported on a general strategy for integrating transcript and metabolite profiling data in the investigation of the response of plants to nutritional stress. The application that they described in detail was the investigation of sulfur deficiency in Arabidopsis thaliana plants. The metabolomics data were primarily generated using FTMS, which, as discussed before, has got to be crazy some caution thanks to the absence of a printed validation of the application of this technology to metabolite profiling. Metabolomics and transcriptomics data were integrated and analyzed using a complex statistical technique termed “batch-learning self-organizing maps”. In its absence the plant is unable to finish a traditional life cycle, or that the element is a component of some essential plant constituent or metabolite. This is in accordance with Justus von Liebig's law of the minimum. This statistical assessment of the info produced groups of metabolites and genes which were regulated by an equivalent mechanism. The basic concepts of plant nutrition are discussed elsewhere during this volume. Here we note that thus far 17 elements are recognized as essential for normal growth and development of all higher plants. These elements are grouped into macronutrient elements or major elements, of which plants need a higher quantity, and micronutrient elements or minor elements which are used in lower quantities. In general terms the data sets generated in the plant nutrition studies discussed here are so complex that it will require considerable time and further experimentation to develop a full understanding of the responses of the metabolic network to nutrient stress. However, the promise of those approaches has already been clearly demonstrated and therefore the number of groups applying these techniques is increasing rapidly.

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Citations: 389

Journal of Experimental Food Chemistry received 389 citations as per Google Scholar report

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