With the continuous development of modern molecular biology techniques, the use of systems biology methods in plant research is promoted in recent years. Taking rice grain as materials, this study based on GC - MS metabonomics method, combining statistics and bioinformatics analysis （heat map, PCA, S - the Plot and MetPA, etc.）, puts forward a set of methods of extracting for rice metabolites, discusses the applicable to rice metabolomics research strategy. This study provides a technical support for revealing the mechanism of plant growth and the molecular mechanism to adapt to adversity in the future.
CHEN Dong-Mei-＃, LI Zhong-＃, ZHANG Zhi-Xing, LIN Wen-Xiong-*
. Metabolomics Research Strategies of Rice Based on GC-MS[J]. China Rice, 2015
, 21(6)
: 1
-6
.
DOI: 10.3969/j.issn.1006-8082.2015.06.001
[1] Oliver S G, Winson M K, Kell D B, et al. Systematic functional analysis of the yeast genome[J]. Trends Biotechnol, 1998, 16（9）: 373-378.
[2] Fiehn O. Metabolomics–the link between genotypes and phenotypes[J]. Plant Mol Biol, 2002, 48（1-2）: 155-171.
[3] Dixon R A, Strack D. Phytochemistry meets genome analysis, and beyond[J]. Phytochemistry, 2003, 62（6）: 815-816.
[4] 林文雄，李忠，陈军，等. 水稻籽粒灌浆的发育遗传与分子生态特性研究[J]. 中国生态农业学报，2012，19（6）：1 237-1 242.
[5] Zhu G, Ye N, Yang J, et al. Regulation of expression of starch synthesis genes by ethylene and ABA in relation to the development of rice inferior and superior spikelets[J]. J Exp Bot, 2011, 62（11）: 3907-3916.
[6] Peng T, Lv Q, Zhang J, et al. Differential expression of the microRNAs in superior and inferior spikelets in rice （Oryza sativa） [J]. J Exp Bot, 2011, 62（14）: 4 943-4 954.
[7] Zhang Z, Chen J, Li Z, et al. Differential proteomic expressions between superior and inferior spikelets of rice in response to varied nitrogen treatments[J]. Australian Journal of Crop Science, 2012, 6（2）: 316-325.
[8] Schauer N, Semel Y, Roessner U, et al. Comprehensive metabolic profiling and phenotyping of interspecific introgression lines for tomato improvement[J]. Nat Biotechnol, 2006, 24（4）: 447-454.
[9] Pongsuwan W, Bamba T, Yonetani T, et al. Quality prediction of Japanese green tea using pyrolyzer coupled GC/MS based metabolic fingerprinting[J]. J Agric Food Chem, 2008, 56（3）: 744-750.
[10] Shu X L, Frank T, Shu Q Y, et al. Metabolite profiling of germinating rice seeds[J]. J Agric Food Chem, 2008, 56（24）: 11 612-11 620.
[11] Lisec J, Schauer N, Kopka J, et al. Gas chromatography mass spectrometry–based metabolite profiling in plants[J]. Nat Protoc, 2006, 1（1）: 387-396.
[12] Trygg J, Holmes E, Lundstedt T. Chemometrics in metabonomics[J]. J Proteome Res, 2007, 6（2）: 469-479.
[13] Weckwerth W, Wenzel K, Fiehn O. Process for the integrated extraction, identification and quantification of metabolites, proteins and RNA to reveal their co‐regulation in biochemical networks[J]. Proteomics, 2004, 4（1）: 78-83.
[14] Nikolau B J, Wurtele E S. Concepts in plant metabolomics [M]. Springer, 2007.
[15] Tohge T, Fernie A R. Web-based resources for mass-spectrometry-based metabolomics: a user’s guide[J]. Phytochemistry, 2009, 70（4）: 450-456.
[16] Dieterle F, Ross A, Schlotterbeck G, et al. Probabilistic quotient normalization as robust method to account for dilution of complex biological mixtures. Application in 1H NMR metabonomics[J]. Anal Chem, 2006, 78（13）: 4 281-4 290.
