| Literature DB >> 24157215 |
Jonathan Gressel1, John Dodds.
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.Keywords: Bioinformatics; High throughput screens; Metabolomics; Proteomics; Stress tolerance; Transcriptomics
Mesh:
Year: 2013 PMID: 24157215 DOI: 10.1016/j.plantsci.2013.09.007
Source DB: PubMed Journal: Plant Sci ISSN: 0168-9452 Impact factor: 4.729