Metabolomic and functional genomic analyses reveal varietal differences in bioactive compounds of cooked rice.
Metabolomic and functional genomic analyses reveal varietal differences in bioactive compounds of cooked rice.
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代谢组学和功能基因组分析揭示了米饭生物活性化合物的品种差异。
DOI:
10.1371/journal.pone.0012915
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发表时间:
2010-09-23
期刊:
影响因子:
3.7
通讯作者:
Ryan, Elizabeth P.
中科院分区:
文献类型:
--
作者:
Heuberger, Adam L.;Lewis, Matthew R.;Chen, Ming-Hsuan;Brick, Mark A.;Leach, Jan E.;Ryan, Elizabeth P.
Emerging evidence supports that cooked 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 traits. Metabolites from ten diverse varieties of cooked rice 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. Two classes of bioactive compounds, phenolics and vitamin E, contained nonsynonymous SNPs and SNPs in the 5′ and 3′ untranslated regions for genes in their biosynthesis pathways. Total phenolics and tocopherol concentrations were determined to examine the effect of the genetic diversity among the ten varieties. Per gram of cooked rice, total phenolics ranged from 113.7 to 392.6 µg (gallic acid equivalents), and total tocopherols ranged between 7.2 and 20.9 µg. The variation in the cooked rice metabolome and quantities of bioactive components supports that the SNP-based genetic diversity influenced nutritional components in rice, and that this approach may guide rice improvement strategies for plant and human health.
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影响因子:
4.1
作者:
Goffman, FD;Bergman, CJ
通讯作者:
Bergman, CJ
影响因子:
30.8
作者:
Keurentjes, Joost J. B.;Fu, Jingyuan;Koornneef, Maarten
通讯作者:
Koornneef, Maarten
DOI:
10.1073/pnas.200357097
发表时间:
2000-10-10
影响因子:
11.1
作者:
Jiang, Q;Elson-Schwab, I;Ames, BN
通讯作者:
Ames, BN
影响因子:
37.8
作者:
Billman, GE;Kang, JX;Leaf, A
通讯作者:
Leaf, A
DOI:
10.1152/ajpgi.00001.2009
发表时间:
2009-04-01
影响因子:
4.5
作者:
Lin, Xiaobo;Ma, Lina;Ostlund, Richard E., Jr.
通讯作者:
Ostlund, Richard E., Jr.