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</o:shapelayout></xml><![endif]--></head><body lang=EN-US link=blue vlink=purple><div class=WordSection1><p class=MsoNormal><span style='color:#1F497D'> </span><span style='color:#1F497D'><o:p></o:p></span></p><div><div style='border:none;border-top:solid #B5C4DF 1.0pt;padding:3.0pt 0in 0in 0in'><p class=MsoNormal><b><span style='font-size:10.0pt;font-family:"Tahoma","sans-serif"'>From:</span></b><span style='font-size:10.0pt;font-family:"Tahoma","sans-serif"'> Georgina Lambert [mailto:georgina@ag.arizona.edu] <br><b>Sent:</b> Tuesday, January 08, 2013 12:57 PM<br><b>To:</b> plsgs@cals.arzona.edu<br><b>Subject:</b> Special Seminar Friday Jan 11 3PM<o:p></o:p></span></p></div></div><p class=MsoNormal><o:p> </o:p></p><h4><b><span style='font-family:"Century Gothic","sans-serif";color:black'>The School of Plant Sciences<o:p></o:p></span></b></h4><h4><b><span style='font-family:"Century Gothic","sans-serif";color:black'>Seminar Series</span></b><b><span style='font-size:24.0pt;font-family:"Century Gothic","sans-serif";color:white'><o:p></o:p></span></b></h4><h4><span style='font-family:"Century Gothic","sans-serif";color:black'><o:p> </o:p></span></h4><p class=MsoNormal><span style='font-size:18.0pt;font-family:"Century Gothic","sans-serif"'> <o:p></o:p></span></p><p class=MsoNormal align=center style='text-align:center'><b><span style='font-size:22.0pt;font-family:"Century Gothic","sans-serif";color:#0000C3'>Drs. Masami Hirai and Yuji Sawada</span></b><b><span style='font-size:18.0pt;font-family:"Century Gothic","sans-serif";color:#55601C'><o:p></o:p></span></b></p><p class=MsoNormal align=center style='text-align:center'><b><span style='font-size:18.0pt;font-family:"Century Gothic","sans-serif";color:black'><o:p> </o:p></span></b></p><p class=MsoNormal align=center style='text-align:center'><b><span style='font-size:18.0pt;font-family:"Century Gothic","sans-serif";color:black'>Metabolic Systems Research Team<o:p></o:p></span></b></p><p class=MsoNormal align=center style='text-align:center'><b><span style='font-size:18.0pt;font-family:"Century Gothic","sans-serif";color:black'>RIKEN Plant Science Center, Japan<o:p></o:p></span></b></p><p class=MsoNormal align=center style='text-align:center'><b><span style='font-size:18.0pt;font-family:"Century Gothic","sans-serif";color:#7030A0'><o:p> </o:p></span></b></p><p class=MsoNormal align=center style='text-align:center'><b><span style='font-size:18.0pt;font-family:"Century Gothic","sans-serif";color:#7030A0'><o:p> </o:p></span></b></p><p class=MsoNormal align=center style='text-align:center'><b><i><span style='font-size:22.0pt;font-family:"Century Gothic","sans-serif";color:#0000C3'>“Plant Metabolomics and Integrated Approaches” <o:p></o:p></span></i></b></p><p class=MsoNormal align=center style='text-align:center'><b><i><span style='font-size:22.0pt;font-family:"Century Gothic","sans-serif";color:#0000C3'>and<o:p></o:p></span></i></b></p><p class=MsoNormal align=center style='text-align:center'><b><i><span style='font-size:22.0pt;font-family:"Century Gothic","sans-serif";color:#0000C3'>“Mathematical Modeling of Plant Metabolism Based on Metabolome Data”<o:p></o:p></span></i></b></p><p class=MsoNormal align=center style='text-align:center'><u><span style='font-size:18.0pt;font-family:"Century Gothic","sans-serif"'><o:p><span style='text-decoration:none'> </span></o:p></span></u></p><p class=MsoNormal align=center style='text-align:center'><u><span style='font-size:18.0pt;font-family:"Century Gothic","sans-serif"'><o:p><span style='text-decoration:none'> </span></o:p></span></u></p><p class=MsoNormal align=center style='text-align:center'><u><span style='font-size:18.0pt;font-family:"Century Gothic","sans-serif"'><o:p><span style='text-decoration:none'> </span></o:p></span></u></p><p class=MsoNormal align=center style='text-align:center'><b><u><span style='font-size:18.0pt;font-family:"Century Gothic","sans-serif"'>Friday, January 11, 2013<o:p></o:p></span></u></b></p><p class=MsoNormal align=center style='text-align:center'><b><span style='font-size:18.0pt;font-family:"Century Gothic","sans-serif"'>3:00 - 3:50 pm<o:p></o:p></span></b></p><h3 align=center style='text-align:center'><b><span style='font-size:18.0pt;font-family:"Century Gothic","sans-serif"'>Marley 230<o:p></o:p></span></b></h3><h3 align=center style='text-align:center'><b><i><span style='font-size:18.0pt;font-family:"Century Gothic","sans-serif"'><o:p> </o:p></span></i></b></h3><h3 align=center style='text-align:center'><b><i><span style='font-size:18.0pt;font-family:"Century Gothic","sans-serif";color:black'><o:p> </o:p></span></i></b></h3><p class=MsoNormal align=center style='text-align:center'><i><span style='font-size:14.0pt;font-family:"Century Gothic","sans-serif";color:black'>More information</span></i><span style='font-size:14.0pt;font-family:"Century Gothic","sans-serif";color:black'> @ </span><a href="http://cals.arizona.edu/spls/seminars"><i><span style='font-size:14.0pt;font-family:"Century Gothic","sans-serif"'>http://cals.arizona.edu/spls/seminars</span></i></a><i><u><span style='font-size:14.0pt;font-family:"Century Gothic","sans-serif";color:black;mso-fareast-language:JA'><o:p></o:p></span></u></i></p><p class=MsoNormal align=center style='text-align:center'><i><u><span style='font-size:14.0pt;font-family:"Century Gothic","sans-serif";color:black;mso-fareast-language:JA'><o:p><span style='text-decoration:none'> </span></o:p></span></u></i></p><p class=MsoNormal><b><span style='mso-fareast-language:JA'>Seminar Abstracts</span></b><b><span style='font-size:12.0pt;mso-fareast-language:JA'><o:p></o:p></span></b></p><p class=MsoNormal><span style='mso-fareast-language:JA'><o:p> </o:p></span></p><p class=MsoNormal style='layout-grid-mode:char'><span style='font-size:14.0pt'>Plant Metabolomics </span><span style='font-size:14.0pt;mso-fareast-language:JA'>a</span><span style='font-size:14.0pt'>nd Integrated Approaches<o:p></o:p></span></p><p class=MsoNormal style='layout-grid-mode:char'>Yuji Sawada<span style='font-size:12.0pt;mso-fareast-language:JA'><o:p></o:p></span></p><p class=MsoNormal style='layout-grid-mode:char'>R<span style='mso-fareast-language:JA'>IKEN</span> Plant Science Center<span style='mso-fareast-language:JA'>, Yokohama, Japan<o:p></o:p></span></p><p class=MsoNormal style='layout-grid-mode:char'><o:p> </o:p></p><p class=MsoNormal style='layout-grid-mode:char'>Metabolomics and its application study have large advantage in the extensive detection of metabolites. Using the metabolome data with other omics data, we have identified the novel metabolic genes, <i>e.g.</i>, transcriptional regulation factor, transporter of the metabolite, biosynthetic genes. Previously, we have established the metabolomics techniques by using multiple MS types as follows: quantitative analysis (QqQ-MS, Sawada et al., PCP 2009a-c), un-targeted tandem MS (MS/MS) analysis (QTOF-MS, Matsuda et al., Plant J. 2008) and elemental composition analysis (FT-MS, Nakabayashi et al., Anal. Chem. in press), reference MS/MS database for phytochemicals (Sawada, et al., Phytochem. 2012). These platforms powerfully promote the characterization of massive extended detectable metabolites. In this presentation, we show the case study of metabolome quantitative locus analysis by using linkage mapping and genome wide association, and the results will allow us to generate the next innovative metabolic breeding approaches.<o:p></o:p></p><p class=MsoNormal style='layout-grid-mode:char'><o:p> </o:p></p><p class=MsoNormal style='layout-grid-mode:char'><o:p> </o:p></p><p class=MsoNormal style='layout-grid-mode:char'><span style='font-size:14.0pt;mso-fareast-language:JA'>Mathematical Modeling of Plant Metabolism Based on Metabolome Data<o:p></o:p></span></p><p class=MsoNormal style='layout-grid-mode:char'><span style='mso-fareast-language:JA'>Masami Y. Hirai</span><span style='font-size:12.0pt;mso-fareast-language:JA'><o:p></o:p></span></p><p class=MsoNormal style='layout-grid-mode:char'><span style='mso-fareast-language:JA'>RIKEN Plant Science Center, Yokohama, Japan<o:p></o:p></span></p><p class=MsoNormal style='layout-grid-mode:char'><span style='mso-fareast-language:JA'><o:p> </o:p></span></p><p class=MsoNormal style='layout-grid-mode:char'><span style='mso-fareast-language:JA'>Recently, it has become possible to acquire a large metabolome dataset from high-throughput instruments. Time-series metabolome data includes important information to understand metabolism as a system. The present work proposes a new pathway-based technique for in silico analysis of a metabolic reaction network by using time-series metabolome data. In this approach, a mathematical model is constructed in the framework of Biochemical Systems Theory based on available information on metabolic pathways, which are composed of chemical reactions and feedback regulations by metabolites. The parameters in the model, namely, kinetic orders and rate constants, are estimated from actual time-series data of metabolite concentrations. The obtained mathematical model enables us to simulate metabolic behaviors and conduct the system analysis of a metabolic reaction network. In this seminar the result of our on-going study will be introduced.<o:p></o:p></span></p><p class=MsoNormal align=center style='text-align:center'><i><span style='font-size:14.0pt;font-family:"Century Gothic","sans-serif";color:black;mso-fareast-language:JA'><o:p> </o:p></span></i></p><p class=MsoNoSpacing><o:p> </o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Ms. Georgina Lambert<o:p></o:p></p><p class=MsoNormal>Program Coordinator, Sr.<o:p></o:p></p><p class=MsoNormal>School of Plant Sciences<o:p></o:p></p><p class=MsoNormal>University of Arizona<o:p></o:p></p><p class=MsoNormal>Tucson, AZ 85721<o:p></o:p></p><p class=MsoNormal>Office 520-621-1219<o:p></o:p></p><p class=MsoNormal>Cell 520-404-2856<o:p></o:p></p><p class=MsoNormal>FAX 520-621-7186<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p></div></body></html>