DEVELOPMENT AND CHARACTERIZATION OF GENETIC RESOURCES FOR AGRONOMIC AND QUALITY TRAITS USING GENOMIC TOOLS
Title: Metabolomic and functional genomic analyses reveal varietal differences in bioactive compounds of cooked rice
| Heuberger, Adam - |
| Lewis, Mathew - |
| Brick, Mark - |
| Leach, Jan - |
| Ryan, Elizabeth - |
Submitted to: PLoS One
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: August 30, 2010
Publication Date: September 23, 2010
Citation: Heuberger, A.L., Lewis, M.R., Chen, M., Brick, M.A., Leach, J.E., Ryan, E.P. 2010. Metabolomic and functional genomic analyses reveal varietal differences in bioactive compounds of cooked rice. PLoS One 5:e12915.
Interpretive Summary: Different rice varieties have not been well characterized for components that are important for human nutrition. Understanding the genetic basis for differences in nutritional content and health beneficial properties may lead to a way to improve the dietary value of rice varieties for consumers. In this study we identified differences in health beneficial chemicals, such as phenolics and vitamin E, in cooked brown rice of ten diverse varieties. We related these differences to changes in DNA of several key genes in biochemical pathways of nutritional importance. The findings from this study demonstrate the value for combining information from genetics with chemical analysis of cooked rice to identify rice varieties with enhanced human health benefits.
Emerging evidence supports that cooked brown rice (Oryza sativa L.) contains metabolites with biomedical activities, yet little is known about the genetic diversity that is responsible for metabolite variation and differences in health beneficial traits. Metabolites from cooked brown rice of ten diverse varieties were detected using ultra performance liquid chromatography coupled to mass spectrometry. A total of 3,097 compounds were detected, of which 25% differed among the ten varieties. Multivariate analyses of the metabolite profiles showed that the chemical diversity among the varieties cluster according to their defined subspecies classifications: indica, japonica, and aus. Metabolite-specific genetic diversity in rice was investigated by analyzing a collection of single nucleotide polymorphisms (SNPs) in genes from biochemical pathways of nutritional importance. Nonsynonymous SNPs and SNPs in 5’ and 3’ untranslated regions were found in genes of the phenolics and tocopherol/tocotrienol biosynthesis pathways. Total phenolics and tocopherol concentrations were determined to examine the relationship with the genetic diversity found in the ten varieties. Per gram of cooked brown rice, total phenolics ranged from 113.7 to 392.6 mg (gallic acid equivalents), and total tocopherols ranged between 7.2 and 20.9 mg. These results demonstrate that SNP-based genetic diversity is associated with nutritional components in cooked brown rice and that SNP markers may offer an approach for rice improvement strategies for plant and human health.