title: Commentary: Hormesis can be used in enhancing plant productivity and health; but not as previously envisaged.
abstract: Sub-toxic doses of many toxicants have positive, beneficial effects on productivity, or stress resistance (hormesis). Transcriptomic, proteomic, and metabolomic responses to a disparate variety hormetic agents, coupled with bioinformatic analyses, can be used to identify consensus genes, their controlling elements, and their metabolites related to stimulation of growth and/or health. This information can then be used as a method for generating healthier and higher yielding crops using transgenic or other biotechnological techniques. The same bioinformatic information can be used to develop knowledge-based, transcriptomic, proteomic and metabolomic high throughput pre-screens using young plants to identify hormetic chemicals that are potentially useful for enhancement of crop health and yield. Such pre-screens preclude the need to use whole plants through maturity. While the hormetic effectors themselves have to date been of limited direct utility, it is clear that they can be used to help pinpoint genes and chemicals that are potentially useful. This is superior to the presently used random screening or even "educated guess" screening of genes and chemicals.
authors.affiliation: Plant Sciences, Weizmann Institute of Science, Rehovot 76100, Israel. Electronic address: jonathan.gressel@weizmann.ac.il.
authors.forename: Jonathan
authors.initials: J
authors.lastname: Gressel
authors.forename: John
authors.initials: J
authors.lastname: Dodds
mesh_terms: D001709:Biotechnology; D019295:Computational Biology; D016208:Databases, Factual; D020869:Gene Expression Profiling; D057166:High-Throughput Screening Assays; D055432:Metabolomics; D010944:Plants / Q000187:drug effects* / Q000235:genetics / Q000378:metabolism; D040901:Proteomics; D013312:Stress, Physiological
keywords: Bioinformatics; High throughput screens; Metabolomics; Proteomics; Stress tolerance; Transcriptomics