Primary metabolism during biosynthesis of

Plant Physiology Preview. Published on September 6, 2016, as DOI:10.1104/pp.16.01230
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Short title: Metabolic control for protoxylem cell formation
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Corresponding author:
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Taku Demura
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Professor
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Graduate School of Biological Sciences
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Nara Institute of Science and Technology
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Ikoma, 630-0192, Japan
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Tel: +81-743-72-5460
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Fax: +81-743-72-5469
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E-mail: [email protected]
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Primary metabolism during biosynthesis of secondary wall polymers of protoxylem vessel
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elements
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Misato Ohtani, Keiko Morisaki, Yuji Sawada, Ryosuke Sano, Abigail Loren Tung Uy, Atsushi
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Yamamoto, Tetsuya Kurata, Yoshimi Nakano, Shiro Suzuki, Mami Matsuda, Tomohisa
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Hasunuma, Masami Yokota Hirai, Taku Demura*
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Graduate School of Biological Sciences, Nara Institute of Science and Technology, Ikoma, Nara,
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630-0192 Japan (M.O., K.M., R.S., A.L.T.U., A.Y., T.K., Y.N., T.D.); Graduate School of Life
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Sciences, Tohoku University, Sendai, Miyagi, 980-8578 Japan (T.K.); Bioproduction Research
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Institute, National Institute of Advanced Industrial Science and Technology, Tsukuba, Ibaraki,
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305-8566, Japan (Y.N.); Research Institute for Sustainable Humanosphere, Kyoto University, Uji,
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Kyoto 611-0011, Japan (S.S.); Graduate School of Science, Technology and Innovation, Kobe
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University 1-1 Rokkodai, Nada, Kobe 657-8501, Japan (M.M., T.H.); and RIKEN Center for
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Sustainable Resource Science, Yokohama, Kanagawa, 230-0045 Japan (M.O., Y.S., M.Y.H.,
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T.D.)
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One sentence summary
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Primary metabolism is actively regulated for the biosynthesis of secondary wall polymers during
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differentiation of protoxylem vessel elements.
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Promotion of Science (KAKENHI Grant Number 25291062 to T.D.), and the Ministry of
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Education, Culture, Sports, Science and Technology of Japan (Grant-in-Aid for Scientific
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Research on Innovative Areas “The Plant Cell Wall as Information Processing System” Grant
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Number 25114520 and 15H01235 to M.O., 24114002 to T.D., and Grants-in-Aid from the
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NC-CARP project to T.D.), and Japan Advanced Plant Science Network.
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* Address correspondence to [email protected].
This work was supported in part by The Naito Foundation (to M.O.), Japan Society for the
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The authors responsible for distribution of materials integral to the findings to the findings
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presented in this article in accordance with the policy described in the Instructions for Authors
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(www.plantphysiol.org) is: Taku Demura ([email protected]).
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M.O. and T.D. designed the research; M.O., K.M., Y.S., Y.N., S.S., and M.M. performed the
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experiments; M.O., K.M., Y.S., R.S., A.L.T.U., T.K., T.H., M.H., and T.D. analyzed the data;
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M.O. and T.D. wrote the article.
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Abstract
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Xylem vessels, the water-conducting cells in vascular plants, undergo characteristic secondary
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wall deposition and programmed cell death. These processes are regulated by the
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VASCULAR-RELATED NAC-DOMAIN (VND) transcription factors. Here, to identify changes
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in metabolism that occur during protoxylem vessel element differentiation, we subjected tobacco
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BY-2 suspension culture cells carrying an inducible VND7 system to LC/MS-based wide-target
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metabolome analysis and transcriptome analysis. Time-course data for 128 metabolites showed
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dynamic changes in metabolites related to amino acid biosynthesis. The concentration of
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glyceraldehyde 3-phosphate, an important intermediate of the glycolysis pathway, immediately
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decreased in the initial stages of cell differentiation. As cell differentiation progressed, specific
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amino acids accumulated, including the shikimate-related amino acids and the translocatable
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nitrogen-rich amino acid arginine. Transcriptome data indicated that cell differentiation involved
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active upregulation of genes encoding the enzymes catalyzing fructose 6-phosphate biosynthesis
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from glyceraldehyde 3-phosphate, phosphoenolpyruvate biosynthesis from oxaloacetate, and Phe
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biosynthesis, which includes shikimate pathway enzymes. Concomitantly, active changes in the
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amount of fructose 6-phosphate and phosphoenolpyruvate were detected during cell differentiation.
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Taken together, our results show that protoxylem vessel element differentiation is associated with
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changes in primary metabolism, which could facilitate the production of polysaccharides and
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lignin monomers, and thus promote formation of the secondary cell wall. Also, these metabolic
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shifts correlate with active transcriptional regulation of specific enzyme genes. Therefore, our
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observations indicate that primary metabolism is actively regulated during protoxylem vessel
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element differentiation to alter the cell’s metabolic activity for the biosynthesis of secondary wall
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polymers.
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INTRODUCTION
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Xylem vessels conduct water and nutrients in vascular plants (Myburg and Sederoff, 2001;
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Turner et al., 2007). Xylem vessel cells have a characteristic thick and patterned secondary cell
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wall (SCW) and undergo programmed cell death (PCD). SCW biopolymers such as cellulose,
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hemicellulose, and lignin are major constituents of terrestrial lignocellulosic biomass. As
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lignocellulose is recalcitrant to enzymatic hydrolysis, it has limited utility as a renewable
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resource. Improving our understanding of the molecular mechanisms underlying xylem vessel
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cell differentiation will facilitate the development of strategies to overcome this limitation
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(Abramson et al., 2010).
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Xylem vessel cell differentiation, which has been extensively studied using an in vitro
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induction system (Fukuda and Komamine, 1980; Demura et al., 2002; Kubo et al., 2005; Pesquet
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et al., 2010), initiates with the transcriptional upregulation of SCW- and PCD-related genes by
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the VASCULAR-RELATED NAC-DOMAIN (VND) master regulatory transcription factors
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(Kubo et al., 2005; Yamaguchi et al., 2008; Zhong et al., 2010; Ohashi-Ito et al., 2010;
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Yamaguchi et al., 2011; Endo et al., 2015; Nakano et al., 2015). The first detectable cytological
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sign of differentiation is the alignment of cortical microtubules, which determine patterned SCW
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thickening by guiding the cellulose synthase complex (Bashline et al., 2014; McFarlane et al.,
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2014). Next, cellulose and hemicellulose accumulate, followed by lignin deposition (Faik, 2010;
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Vanholme et al., 2010). Vacuole disruption triggers PCD, which results in proteases and nucleases
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being released into the cytosol (Bollhöner et al., 2012). During the final stages of differentiation,
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the end walls are perforated and the cell contents exit the cells, completing the differentiation of
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the hollow tube structure (Turner et al., 2007).
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Transcriptome analysis of xylem tissues (for loblolly pine: Allona et al., 1998; for poplar:
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Sterky et al., 1998; for spruce: Ralph et al., 2008; for eucalyptus: Rengel et al., 2009) and studies
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in the in vitro system (Demura et al., 2002; Ohashi-Ito et al., 2010; Zhong et al., 2010;
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Yamaguchi et al., 2011) have identified many genes involved in xylem cell differentiation. These
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include VND family genes and SCW-related genes encoding MYB transcription factors
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(McCarthy et al., 2009; Ko et al., 2012, 2014; Zhong and Ye, 2012; Hussey et al., 2013); based
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on this information, NAC-MYB-based transcriptional networks have been proposed for xylem
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vessel cell differentiation (Nakano et al., 2015). Moreover, proteome data have been reported for
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xylem tissues of hybrid aspen (Kalluri et al., 2009) and Hydrangea paniculata (Pagter et al.,
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2014).
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microtubule-interacting proteins involved in xylem vessel cell differentiation (Derbyshire et al.,
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2015).
A
recent
study
also
reported
a
quantitative
proteome
analysis
targeting
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While these transcriptome and proteome studies have provided insight into xylem cell
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differentiation, little is known about the primary metabolic changes that occur during xylem
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vessel cell differentiation. Regulation of the biosynthesis of SCW-related metabolites, such as
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cellulose and its precursor UDP-glucose, the hemicellulosic polysaccharide xylan, and lignin
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monomers, has attracted substantial attention (Bashline et al., 2014; McFarlane et al., 2014; Faik,
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2010; Vanholme et al., 2010). However, we lack information about the regulation of primary
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metabolism during xylem vessel cell differentiation.
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In the present study, we performed a wide-target metabolome analysis of protoxylem
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vessel element differentiation using a tobacco BY-2 in vitro system (VND7-VP16-GR; Yamaguchi
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et al., 2010; Goué et al., 2013) that allows the effective induction of protoxylem-type vessel
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element differentiation. Induced BY-2 cells were subjected to LC/MS-based wide-target
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metabolome analysis as established by Sawada et al. (2009), which can automatically detect
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approximately 700 metabolites that are the product of metabolic regulatory pathways (Sawada et
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al., 2012). This method can provide data on general metabolites during protoxylem vessel
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element formation with high reproducibility. Indeed, we successfully obtained time-course
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metabolome data during protoxylem vessel element differentiation. In addition, we performed
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mRNA-seq analysis on the same differentiating BY-2 cells and examined the trends in transcript
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levels of genes encoding enzymes involved in the catalytic pathways of the metabolites detected
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by the metabolome analysis. Subsequent target quantification analysis showed active changes in
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fructose 6-phosphate (Fru-6-P), phosphoenolpyruvate (PEP), and UDP-glucose during cell
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differentiation. These data suggested that active regulation of glycolysis and amino acid
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biosynthesis at the transcriptional level alters cell activity, shifting metabolism toward the
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biosynthesis of specific kinds of metabolites, such as Fru-6-P, a precursor of NDP-sugar, and PEP,
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a precursor of Phe for lignin monomers, which are important building blocks of the SCW of
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protoxylem vessel element.
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RESULTS
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Widely targeted metabolome analysis of protoxylem vessel element differentiation in a
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tobacco BY-2 in vitro system
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For the widely targeted metabolome analysis during protoxylem vessel element
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differentiation, we used the established tobacco BY-2 in vitro system for protoxylem vessel
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element differentiation (VND7-VP16-GR; Yamaguchi et al., 2010; Goué et al., 2013). In this
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system, the VND7-VP16-GR fusion protein is continuously expressed under the control of the
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35S promoter, and its transcription factor activity can be post-translationally activated by
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treatment with dexamethasone (DEX). Following DEX treatment, the VND7-VP16-GR BY-2
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cells effectively trans-differentiate into protoxylem vessel elements (Yamaguchi et al., 2010;
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Goué et al., 2013). Figure 1 shows the transitional differentiation rates of VND7-VP16-GR BY-2
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cells after DEX treatment (Fig. 1A). The first visible sign of cell differentiation was the weak
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deposition of helically patterned-SCW after 24 h of DEX treatment (Fig. 1C). At this stage, the
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cells with patterned SCWs had visible nuclei, indicating that these cells were living and
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undergoing differentiation as protoxylem vessel elements (Fig. 1C). Then, after 36 h of DEX
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treatment, we observed cells with thick helical SCWs but without cell contents, i.e., differentiated
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protoxylem vessel elements (Fig. 1D). Ultimately, ~70% of VND7-VP16-GR BY-2 cells
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differentiated into protoxylem vessel elements (Fig. 1A). Previously we observed that the
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upregulation of SCW biosynthetic genes could be detected after 6 h of DEX treatment (Goué et
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al., 2013), suggesting that protoxylem vessel element differentiation initiated at least at 6 h of
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incubation with DEX, even though no morphological changes were visible in the cells. Based on
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these observations, we sampled VND7-VP16-GR BY-2 cells, as well as non-transgenic BY-2 cells,
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after 0, 6, 12, 24, 36, and 48 h of DEX or mock treatment for further metabolome analysis.
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Using the LC/MS-based wide-target metabolome analysis established by Sawada et al.
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(2009), we identified 490 metabolites from the control and VND7-VP16-GR BY-2 cells, and
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obtained relative amount data for 128 metabolites based on a cutoff signal-to-noise ratio of >3
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(Table S1 and S2). Principal component analysis (PCA) of these 128 metabolites successfully
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identified changes in the metabolome associated with progression of cell differentiation;
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DEX-treated
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non-transgenic samples were separated in the PCA plot (Fig. 2). The first two principal
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components (PC1 and PC2) explained 36% of the total variance, and as the cell differentiation
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progressed, PC2 became larger in the DEX-treated VND7-VP16-GR samples (Fig. 2). The PC1
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component possibly reflected the difference between VND7-VP16-GR samples and
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non-transgenic samples, since the wild-type samples were distributed in the region with negative
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values of PC1, whereas VND7-VP16-GR samples were found in the region with positive values
VND7-VP16-GR
samples,
mock-treated
VND7-VP16-GR
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samples,
and
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of PC1 (Fig. 2). The PCA model in Fig. 2 showed that amino acids and their derivatives tended to
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be highly correlated to PC1 and PC2 (p<0.05; Table 1, 2, S1 and S2). The 15 metabolites with the
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highest and lowest PC1 correlation scores (p<0.05) included 11 amino acids (Asp, Glu, Thr, His,
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Pro,
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1-aminocyclopentanecarboxylate)
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4-aminobutanoate, S-methylmethionine, and
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with the highest and lowest PC2 correlation scores (p<0.05) included 5 amino acids (Leu, Ile,
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N6-(L-1,3-dicarboxypropyl)-L-lysine, norleucine, and carnosine) and 4 amino acid-related
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metabolites (Ala, Ser, O-acetyl-L-serine, N-acetyl-DL-serine) (Table 2). These results suggested
Lys,
Gln,
allothreonine,
α -methylhistidine,
and
5
amino
L-threo-3-methylaspartate,
acid-related
metabolites
D-alanyl-D-alanine)(Table
(Ala,
and
Phe,
1). The 15 metabolites
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that amino acids and their derivatives were the main metabolites contributing to the dispersion of
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the samples on PC1 and PC2.
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Changes in amino acid-related metabolites during protoxylem vessel element differentiation
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We further explored the changes in amino acid-related metabolites during protoxylem vessel
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element differentiation. In the present work, we could not obtain data for Gly, Val, and Cys;
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however, we did detect the remaining 17 proteinogenic amino acids and additional related
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metabolites (Table S1 and S2). Parts of the LC/MS-based profiles for these metabolites are shown
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in Fig. 3, Fig. 4, Fig. S1 and Fig. S2. Amino acids are derived from intermediates of the
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glycolysis pathway and glyceraldehyde 3-phosphate (GAP), an intermediate of the glycolysis
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pathway, showed an immediate decrease after DEX treatment (Fig. 3). This early change was
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observed only in the DEX-treated VND7-VP16-GR BY-2 cells (Fig. 3, 4, S1, and S2, Table S3 and
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S4); therefore, the immediate decrease in GAP appears to be associated with the initiation of
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protoxylem vessel element differentiation.
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The amino acids with high PC1 correlation scores, i.e., Asp, Glu, Thr, His, Pro, Lys, and Gln
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(Table 1 and S1), all decreased in VND7-VP16-GR cells as cell differentiation progressed,
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whereas the amino acids with high PC2 correlation scores, i.e., Leu, Ile, Arg, and Trp (Table 2
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and S2), increased after 24 h of DEX treatment (Fig. 3, 4, S1 and S2, Table S3 and S4). These
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results indicated that the progression of protoxylem vessel element differentiation was associated
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with changes in amino acid metabolism. Among the increased amino acids, Trp, Phe, and Tyr are
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biosynthesized from D-erythrose-4-phosphate and phosphoenolpyruvate through the shikimate
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pathway (Maeda and Dudareva, 2012). The increase in Trp and tyramine produced from Tyr
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suggested that the shikimate pathway was activated after 24 h of DEX treatment (Fig. 3 and S1).
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The amounts of Tyr and Phe gradually increased during cell culture, as well as in the wild-type
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cells (Fig. 3 and S3). However, the concentration of tyramine, a derivative of Tyr, greatly
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increased after 24 h of DEX treatment (Fig. 3), suggesting that most Tyr biosynthesized after
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DEX treatment is converted into tyramine. Similarly, although transient increase in Phe was
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detected after 12 h of DEX treatment, the Phe level was the same as that after mock treatment
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(Fig. 3 and Table S3); thus, most of the Phe produced after DEX treatment would be converted
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into lignin monomer to generate SCWs (Vanholme et al., 2010). The other increased amino acids,
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Leu, Ile, and Arg, are located at the end of each respective metabolic pathway (Fig. 3 and 4).
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Other amino acids generated from the downstream metabolites of GAP decreased after DEX
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treatment (Fig. 3, 4, S3, and S4). The large increase of L-saccharopine and L-2-aminoadipate after
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24 h of DEX treatment (Fig. 3) indicated that the Lys catabolic pathway was activated during
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protoxylem vessel element differentiation (Arruda et al., 2000).
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Taken together, these data suggested that amino acid metabolism is changed to produce
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several specific kinds of amino acids, such as the branched-chain amino acids Leu and Ile,
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aromatic amino acids Trp, and translocatable nitrogen-rich amino acid Arg, and that such
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regulation could be initiated from the rapid use of the GAP supplied from the glycolysis pathway.
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In addition, the increased tyramine, L-saccharopine, and L-2-aminoadipate could imply that the
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catabolism of amino acids is, at least partly, activated during protoxylem vessel element
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differentiation. Since tyramine is known to be a precursor for hydroxycinnamic acid amides bound
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to cell walls (Facchini et al., 2000), it could be possible that the synthesized tyramine is partly
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further catalyzed into such cell wall-bound amides and then incorporated into SCW.
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Transcriptome analysis of VND7-VP16-GR BY-2 cells
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To obtain insight into the metabolic regulation of amino acids during protoxylem vessel
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element differentiation, we conducted mRNA-seq analysis of VND7-VP16-GR BY-2 cells treated
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with DEX or mock for 0, 6, 12, 24, and 36 h. After de novo assembly of sequence reads based on
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the Nicotiana tabacum reference genome (Sierro et al., 2014), we obtained 74,932 unique contigs
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from the mRNA-seq data for the VND7-VP16-GR BY-2 cells. Previous work reported the set of
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direct targets of Arabidopsis VND6 and VND7 (Ohashi-Ito et al., 2010; Zhong et al., 2010;
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Yamaguchi et al., 2011); based on this, we first examined the expression patterns of genes
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homologous to the 63 VND7 direct target genes reported by Yamaguchi et al. (2011). Using
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BLAST searches, we identified 603 contigs with high sequence similarity to direct target genes of
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Arabidopsis VND7 (Table S5). Two-thirds of these contigs were upregulated after DEX treatment,
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and the remaining contigs decreased or did not change in response to DEX treatment in
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mRNA-seq data (Table S5, Figure S3). Most of upregulation occurred after 6 h of DEX treatment
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(Table S5, Figure S3); thus, the initiation of protoxylem vessel element differentiation occurred
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within 6 h of DEX treatment.
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Active transcriptional regulation of genes encoding glycolysis and shikimate pathway
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enzymes during protoxylem vessel element differentiation
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Next, we searched for changes in transcript levels of genes encoding enzymes involved in the
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glycolysis pathway (Fig. 4 and S4, and Table S6). In accordance with the fact that the GAP
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contents decreased after 6 h of DEX treatment (Fig. 3), we also detected changes after 6 h of DEX
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treatment in the transcript levels of genes corresponding to fructose-bisphosphate aldolase
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(EC4.1.2.13), which catalyzes the reversible conversion of fructose 1,6-bisphosphate (Fru-1,6-bP)
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into dihydroxyacetone-phosphate (DHAP) and GAP (Fig. 4). We detected 19 contigs putatively
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corresponding to fructose-bisphosphate aldolase (Table S6); two of these were statistically
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significantly upregulated (FC>4, p<0.05; Student’s t-test) and one was statistically-significantly
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downregulated within 6 h of DEX treatment (FC<0.5, p<0.05; Student’s t-test) (Fig. 5; Table S6),
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whereas the mock treatment did not significantly affect their expression (Fig. S6 and Table S6).
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All 5 contigs that tended to decrease at 6 h of DEX treatment (FC<1) were similar to Arabidopsis
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genes encoding plastidic-type fructose-bisphosphate aldolase (Table S6); thus, it is possible that
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the cytosolic types of fructose-bisphosphate aldolase are upregulated at the transcriptional level
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during the initial stages of protoxylem vessel element differentiation. In addition, the expression
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of fructose 1,6-bisphosphatase (EC.3.1.3.11), which converts Fru-1,6-bP to fructose 6-phosphate
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(Fru-6-P), was upregulated after the DEX treatment (Fig. 5 and Table S6). Three contigs putatively
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encoding fructose 1,6-bisphosphatase were greatly upregulated at 6 h of DEX treatment (FC>40,
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p<0.05; Student’s t-test), while only 1 contig was significantly upregulated at 6 h of mock
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treatment (FC=5.3, p<0.05; Student’s t-test) (Fig. S6 and Table S6). Conversely, the expression of
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genes encoding phosphofructokinase (EC2.7.1.11), which phosphorylates Fru-6-P, decreased after
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12 h of DEX treatment (Fig. 5 and S6, and Table S6). Considering that these enzymes catalyze
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these reactions in only one direction, these observations indicate that the conversion of GAP to
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Fru-6-P through Fru-1,6-bP increased during the early stages of cell differentiation.
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Metabolome analysis data also showed increases in aromatic amino acids, such as Trp, Phe,
263
and Tyr during protoxylem vessel element differentiation (Fig. 3). Phe is an important metabolite
264
because it is the precursor of lignin monomer biosynthesis (Vanholme et al., 2010); therefore, we
265
further examined the expression of genes encoding enzymes involved in Phe biosynthesis,
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including the shikimate pathway (Fig. 6 and S7). The data showed that all of the metabolic steps
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except the one catalyzed by 3-dehydroquinate synthase (EC4.2.3.4) were actively regulated at the
268
transcriptional level, and most of them were upregulated during protoxylem vessel element
269
differentiation (Fig. 6 and S7).
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Genes encoding phosphoenolpyruvate carboxykinase (EC4.1.1.49), which converts
271
oxaloacetate into phosphoenolpyruvate (PEP), were also upregulated during the early stages of
272
cell differentiation (Fig. 5 and S5). The decreased GAP (Fig. 3) and changes in the transcription
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of genes involved in the glycolysis pathway (Fig. 5 and S5) suggested that PEP biosynthesis from
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Fru-6-P was reduced after DEX treatment. Based on the upregulation of phosphoenolpyruvate
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carboxykinase (EC4.1.1.49), we propose that the PEP required for Phe biosynthesis is derived
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from oxaloacetate during protoxylem vessel element differentiation (Fig. 5).
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Quantification of key metabolites for SCW polymer biosynthesis and lignin content during
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protoxylem vessel element formation
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Finally, we tried to quantify Fru-6-P and PEP, which were assumed to be key metabolites from
281
the glycolysis pathway for SCW polymer biosynthesis as shown above, and UDP-glucose, a
282
precursor of SCW oligosaccharides, by the CE/MS analysis established by Hasunuma et al. (2016).
283
The data indicated active changes in these metabolites in VND7-VP16-GR cells in a DEX
284
treatment-dependent manner (Fig. 7A-C). Although VND7-VP16-GR cells showed higher levels of
285
Fru-6-P and UDP-glucose than those in the wild-type cells even under mock conditions (Fig. 7A
286
and C), the induction of protoxylem vessel element differentiation by DEX treatment significantly
287
changed the trend of these metabolites in VND7-VP16-GR cells; both Fru-6-P and UDP-glucose
288
decreased at 6 h of DEX treatment, and then increased as cell differentiation progressed (Fig. 7A
289
and C). The increased level of Fru-6-P after 12 h of DEX treatment can be, at least partly, explained
290
by the early upregulation of fructose 1,6-bisphosphatase (EC.3.1.3.11) rather than the conversion
291
from Glu-6-P by glucose-6-phosphate isomerase (EC.5.3.1.9), because the expression levels of
292
glucose-6-phosphate isomerase were not changed at 6-12 h of DEX treatment (Fig. 5). We also
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found that the PEP contents increased after 12 h of DEX treatment (Fig. 7B), in accordance with
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the upregulation of phosphoenolpyruvate carboxykinase (EC4.1.1.49) shown in Figure 5.
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295
In addition, to monitor lignification in our system, p-coumaric acid, a precursor of lignin
296
monomer generated from Phe, and the lignin contents were analyzed. The relative amount data of
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297
p-coumaric acid by LC/MS analysis showed the transient increase of p-coumaric acid after 24 h of
298
DEX treatment in VND7-VP16-GR cells, and thioglycolic acid methods detected lignin deposition
299
after 36 h of DEX treatment only in DEX-treated VND7-VP16-GR cells (Fig. 7D). As shown in Fig.
300
3, Phe transiently increased after 12 h of DEX treatment in VND7-VP16-GR cells, suggesting the
301
activation of flow from Phe to lignin monomer through p-coumaric acid.
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302
DISCUSSION
303
304
In the current work, we examined protoxylem vessel element differentiation using wide-target
305
metabolome and transcriptome analyses. The highly synchronous in vitro system for protoxylem
306
vessel element differentiation (VND7-VP16-GR; Yamaguchi et al., 2010) in tobacco BY-2 cells
307
provided time-sequential data for relative levels of 128 metabolites (Table S3). The data
308
described here revealed prominent changes in the contents of amino acids and the expression
309
patterns of genes encoding enzymes involved in the glycolysis and shikimate pathways (Fig. 2-6,
310
Table S1-S6). CE/MS analysis indicated that Fru-6-P and PEP, suggested to be key metabolites
311
linking the glycolysis pathway to SCW polymer biosynthesis based on transcriptome analysis, are
312
actively regulated (Fig. 7). These results suggest that active regulation of primary metabolism
313
could be the basis of protoxylem vessel element differentiation.
314
Based on the data described here, we can speculate the regulatory dynamics of primary
315
metabolism during protoxylem vessel element differentiation as below: at the initiation of xylem
316
vessel cell differentiation, the amounts of GAP decrease (Fig. 3), which is accompanied with the
317
upregulation of genes for enzymes that convert GAP to Fru-6-P (Fig. 5). Then, it seems that the
318
transcription-level of genes involved in the Fru-6-P-to-pyruvate flow in the glycolysis pathway is
319
downregulated, as the decreased expression of genes corresponding to several steps of the
320
glycolysis pathway became apparent after 12 h of DEX treatment (Fig. 5). These observations
321
suggest that GAP metabolism has important functions in the glycolysis pathway during protoxylem
322
vessel element differentiation, probably involving the concentration of carbon sources within the
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323
glycolysis pathway to Fru-6-P by arresting glycolysis in the upstream steps of GAP. Fru-6-P is a
324
key metabolite converted into NDP-sugar and/or connecting glycolysis with the pentose phosphate
325
pathway (Bar-Peled and O’Neill, 2011; Roach et al., 2012). NDP-sugars are building units of cell
326
wall polysaccharides; therefore, activation of Fru-6-P biosynthesis is possibly connected to the
327
activation of SCW formation during protoxylem vessel element differentiation. Our data showed
328
similar patterns for Fru-6-P and UDP-glucose levels during cell differentiation (Fig. 7), supporting
329
the idea that Fru-6-P biosynthesis can influence NDP-sugar biosynthetic activity.
330
Previous studies suggested the importance of Fru-6-P biosynthesis by fructokinase activity for
331
xylem development and hydraulic conductance (Damari-Weissler et al., 2009; Roach et al., 2012;
332
Stein et al., 2016). Particularly the RNAi hybrid aspen plants for fructokinase isoforms, in which
333
the Fru-6-P producing activity by fructokinase was reduced, showed the decrease in both Fru-6-P
334
and UDP-glucose, resulting in the thinner fiber cell walls with a reduction in the proportion of
335
cellulose (Roach et al., 2012). Based on these results, the involvement of fructokinase in carbon
336
partitioning to cellulose during wood formation was revealed (Roach et al., 2012). Our
337
transcriptome data indicated that the expression levels of 3 of 17 contigs corresponding to
338
fructokinase genes were upregulated during protoxylem vessel element differentiation (Table S6).
339
Therefore, it is plausible that the Fru-6-P biosynthesis by multiple pathways might be activated for
340
SCW formation during protoxylem vessel element differentiation.
341
In differentiating protoxylem vessel elements, the transcriptional upregulation of enzyme
342
genes involved in Phe biosynthesis was prominent (Fig. 6). The expression of shikimate pathway
343
genes is decreased in Arabidopsis nst1 snd1/nst3 double mutants, which are defective in the
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344
differentiation of fiber cells, SCW-containing supporting cells (Mitsuda et al., 2007). The NST1
345
and SND1/NST3 proteins are NAC transcription factors belonging to the sister group of VND
346
family genes; therefore, these SCW-related NAC proteins can commonly upregulate genes of the
347
shikimate pathway. Moreover, we found that genes for phosphoenolpyruvate carboxykinase
348
(EC4.1.1.49) were upregulated during the early stages of protoxylem vessel element differentiation
349
(Fig. 5), suggesting that the conversion of oxaloacetate into PEP, one of the starting materials of
350
Phe biosynthesis (Fig. 6), was activated by VND7 induction. Indeed, the PEP level increased as
351
cell differentiation progressed (Fig. 7B). These results imply that carbon sources within the TCA
352
cycle might be reallocated to Phe for lignin biosynthesis through PEP production.
353
Finally, we found that the contents of Leu, Ile, and Arg, which all represent the ends of
354
amino acid biosynthetic pathways, also increased after DEX treatment (Fig. 3 and 4, Table S3).
355
Long-distance transport of amino acids through the xylem is important for the proper distribution
356
of nitrogen in plants (Okumoto and Pilot, 2011). Arg is a translocatable amino acid that can be
357
used as a relatively effective nitrogen resource by plants (Furuhashi and Yatazawa, 1970). Thus,
358
these accumulated amino acids could be transferred to shoot regions for the recycling of nitrogen
359
within plant bodies, after the completion of PCD of developing protoxylem vessel elements.
360
Taken together, our findings point to a system that regulates plant cell metabolic activity to
361
biosynthesize SCW-specific polymers during protoxylem vessel element differentiation. In this
362
system, a shift from primary cell wall biosynthetic mode to SCW biosynthetic mode would be
363
achieved through active transcriptional regulation of genes encoding primary metabolic enzymes,
364
especially at key catalytic steps, such as GAP metabolism, including Fru-6-P production and PEP
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365
metabolism. This work thus suggests a novel strategy for improving woody biomass production
366
that involves enhanced flow of carbon resources from primary metabolites to SCW polymers.
367
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368
MATERIALS AND METHODS
369
370
Plant material and DEX treatment
371
Nicotiana tabacum L. cv. BY-2 suspension culture cells with the VND7-VP16-GR system
372
(VND7-VP16-GR BY-2 cells) were used (Yamaguchi et al., 2010; Goue et al., 2013). Batches of
373
100 mL BY-2 cell suspension cultures were grown in 300-mL conical flasks. Liquid suspension
374
cultures were diluted 95-fold at weekly intervals with medium containing Murashige & Skoog
375
salt mixture (Wako), 0.2 mg/ml KH2PO4, 0.1 mg/mL myo-inositol, 1 mg/L thiamine-HCl, 0.2
376
mg/l 2,4-dichlorophenoxyacetic acid, and 30 g/L sucrose (pH 5.8), and then transferred to a
377
rotary shaker at 130 rpm at 27°C in the dark. The medium was supplemented with 100 mg/L
378
kanamycin. For time-series sampling in the metabolome and transcriptome analyses, the culture
379
scale was increased to 300 mL BY-2 cell cultures in 1-L flasks.
380
To induce differentiation of protoxylem vessel elements, dexamethasone (DEX) was added
381
to the 4-d-old cell cultures to a final concentration of 1 µM. Samples were cultured with agitation
382
in the dark at 27°C for 0, 6, 12, 24, 36, and 48 h prior to harvesting. At each sampling, 5 mL cell
383
culture was harvested and centrifuged (240 g, 2 min, at room temperature) to collect the cells.
384
The centrifugation was repeated 10 times with distilled water for washing, and then the cells were
385
subjected to metabolome and transcriptome analyses. The DEX treatment and cell harvesting
386
were performed three times for triplicate experiments.
387
388
Wide-target metabolome analysis
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389
After harvesting, the cells were freeze-dried in a vacuum freeze dryer (FZ-2.5, Labconco)
390
and then subjected to the wide-target metabolome analysis by the methods described in Sawada
391
et al. (2009) with minor modifications. The freeze-dried BY-2 cell samples were crushed with a
392
bead shaker (1,000 rpm, 2 min; ShakeMaster Neo, BMS), and 4±0.2 mg sample was extracted
393
with 80% MeOH by crushing with 5 mm zirconia beads (1,000 rpm, 2 min). The extracts were
394
diluted 10-fold with 80% MeOH, 25 µL of each extract was transferred to a 96-well plate, and
395
the solutions were dried under N2 gas using a 96-well format spray instrument (40°C, 25 min and
396
30°C, 20 min). To prepare the samples for LC-MS/MS analysis, the dried samples were dissolved
397
in 250 μL water and then filtered twice through a 384-well filter plate (Whatman). The prepared
398
samples were analyzed in a UPLC-TQC machine (Waters), with solvents A, 0.1% formic acid in
399
water (Thermo), and B, 0.1% formic acid in acetonitrile (Wako). The gradient program and
400
TQMS conditions were described in Sawada et al. (2009).
401
After missing values were set to 20, the signal intensities of 3 samples were averaged. The
402
metabolites whose signal-to-noise ratios were less than 3 in all 18 experimental groups were
403
removed. Metabolites whose relative standard deviation was greater than 30% in all 18
404
experimental groups were also removed, leaving 128 metabolites for further analyses (criterion
405
A). Subsequent data analysis was performed according to Sawada et al. (2009). Finally, the
406
metabolome data for three replicate experiments of DEX treatment were obtained.
407
408
409
RNA-seq analysis
The VND7-VP16-GR BY-2 cells were sampled after 0, 6, 12, 24, and 36 h of DEX treatment
29
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410
as described above, and subjected to total RNA extraction with the RNeasy Mini Kit (Qiagen).
411
The quality of each total RNA sample was examined using an Agilent RNA 6000 Pico LabChip
412
Kit in Agilent 2100 bioanalyzer. The mRNA fractions were isolated from 800 ng total RNAs with
413
the NEBNext Poly(A) mRNA Magnetic Isolation Module (New England Biolabs). The cDNA
414
libraries were generated using the NEBNext Ultra RNA Library Prep Kit for Illumina (New
415
England Biolabs), with NEBNext Multiplex Oligos for Illumina (New England Biolabs). All
416
procedures were performed according to the manufacturer's instructions. The quality and quantity
417
of each library were analyzed using a High Sensitivity DNA Kit (Agilent) and by subsequent
418
quantitative PCR (KAPA), respectively. Sequencing was carried out with a Genome Analyzer IIx
419
(Illumina).
420
The obtained short reads (ca. 530 million reads of 32-bp-length) were assembled using
421
Trinity (ver. 2.0.6, Grabherr et al., 2011), via the 'genome_guided_bam' option with the
422
Nicotiana tabacum "TN90" genome sequence (Sierro, et al. 2014). A total of 74,932 unique
423
contigs were constructed. The longest contig was 5,437 bp, the shortest contig was 150 bp, the
424
average length of contigs was 707.310 bp, and the N50 length was 1,006 bp. The sequence tags
425
were mapped to the contigs using TopHat2 (ver. 2.0.13, Kim et al., 2013), to calculate the Reads
426
Per Kilobase per Million Mapped reads (RPKM) for each contig by Cuffdiff2 (ver. 2.2.1,
427
Trapnell et al., 2013). For the expression analysis of putative homologous genes of Arabidopsis
428
VND7-target genes, BLAST searches were performed using the Arabidopsis genes listed as
429
target genes of VND7 as queries (Yamaguchi et al., 2011; Xu et al., 2014) (TBLASTN search;
430
E-value < 0.00001). For the enzyme genes involved in glycolysis and amino acid biosynthesis,
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431
BLAST searches were performed (TBLASTN search; E-value<0.00001) using Arabidopsis and
432
tomato gene sequences that were annotated in the Plant Metabolic Network website
433
(http://www.plantcyc.org/, Dreher, 2014) as queries. For clustering representation of expression
434
(RPKM) patterns of the BY-2 contigs putatively homologous to Arabidopsis VND7 direct target
435
genes, the soft clustering algorithm was utilized with the R software package Mfuzz (Kumar &
436
Futschik, 2007).
437
438
Quantitative RT-PCR analysis
439
To check the reliability of the mRNA-seq analysis, quantitative RT-PCR was performed with
440
the selected putative homologous genes of Arabidopsis VND7-target genes (Figure S2). Total
441
RNAs extracted as described above were subjected to quantitative RT-PCR. Five micrograms of
442
total RNAs was reverse-transcribed with oligo(dT)15 primer (Roche) and the Transcriptor 1st
443
Strand cDNA Synthesis Kit (Roche) to synthesize template cDNA. After 10-fold dilution, 1 µL
444
template cDNA was subjected to absolute quantification analysis using LightCycler 480 SYBR
445
Green I Master (Roche) and the LightCycler 480 System (Roche). NtEF1α was used as the
446
internal control. The results of the quantitative RT-PCR analysis showed good agreement with
447
RNA-seq data. The primer sequences are shown in Table S7.
448
449
Sampling procedures for CE/MS-based metabolic profiling
450
Lyophilized cells (equivalent to 2 to 3 mg dry weight) were suspended in the mixture of 1
451
mL prechilled (-30°C) methanol containing 30.9 μM piperazine-1,4-bis(2-ethanesulfonic acid) as
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452
an internal standard, 300 μL chloroform, and 100 μL prechilled (4°C) water. After 1 h of
453
bead-beater cell-breaking and centrifugation at 14,000 g for 5 min at 4°C, 800 μL of supernatant
454
was transferred to a new tube. The cell extract was mixed with 325 μL prechilled (4°C) water by
455
vortexing. After centrifugation at 14,000 g for 5 min at 4°C, 600 μL of the aqueous layer was
456
transferred onto a Millipore 3-kDa cut-off filter for the removal of solubilized proteins. After the
457
filtration, 400 μL of the aqueous layer extract was evaporated under vacuum using a CVE-3100
458
freeze dry system (Tokyo Rikakikai Co. Ltd., Tokyo, Japan). Dried extracts were stored at -80°C
459
until analysis by CE/MS. CE/MS analysis followed the methods described in Hasunuma et al.
460
(2016).
461
462
Thioglycolic acid lignin determination
463
Thioglycolic acid lignin was determined as described by Suzuki et al. (2009) with some
464
modifications after the starch removal treatment. Briefly, about 3 mg of freeze-dried cells was
465
treated with α-amylase (SIGMA, St. Louis, MO) solution (1 mL) for 16 h at 37°C. After the
466
treatment, the mixture was centrifuged at 20,000 g for 10 min, and the supernatant was discarded.
467
After washing of the pellet with water and methanol (each 2 mL), the pellet was dried and
468
weighed. The residue (about 1.5 mg) was treated with 0.5 mL 3M HCl and 0.1 mL thioglycolic
469
acid (Nakalaitesque, Kyoto, Japan) for 3 h at 80°C. The reaction mixture was cooled on ice for 5
470
min and centrifuged at 20,000 g for 10 min. The pellet was vortexed in water (2 mL) and
471
centrifuged at 20,000 g for 10 min. This washing and centrifugation was repeated once more. The
472
resulting pellet was dissolved in 1 mL 1 M NaOH for 16 h at room temperature and centrifuged at
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473
20,000 g for 10 min. The supernatant was acidified with 0.1 mL concentrated HCl and incubated
474
at 4 °C overnight. The resulting precipitates were collected by centrifugation at 20,000 g for 10
475
min, washed with 2 mL water twice, and dried. The dried pellet was dissolved in 0.25 mL 1 M
476
NaOH. A portion of the solution (0.2 mL) was used for measurement of absorbance at 280 nm on
477
a Greiner UV Star 96-well plate (Greiner bio-one, Frickenhausen, Germany) in a microplate
478
reader (SH-1000 Lab, Corona Electric, Hitachinaka, Japan). The calibration curve used was as
479
described by Suzuki et al. (2009).
480
481
Large datasets
482
The mRNA-seq data presented in this study were submitted to DDBJ Sequence Read
483
Archive (http://trace.ddbj.nig.ac.jp/dra/index_e.html) and can be retrieved via accession number
484
PRJDB5152.
485
486
Supplemental Materials
487
This paper contains the following supplemental materials:
488
Figure S1. Changes in amino acid-related metabolites derived from intermediate compounds in
489
the glycolysis pathway in the wild-type BY-2 cells.
490
Figure S2. Changes in amino acid-related metabolites derived from oxaloacetate and
491
2-oxoglutarate in the wild-type BY-2 cells.
492
Figure S3. Clustering analysis of BY-2 contigs putatively homologous to Arabidopsis VND7
493
direct target genes.
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494
Figure S4. Quantitative RT-PCR analysis of selected BY-2 contigs putatively homologous to
495
Arabidopsis VND7 direct target genes during protoxylem vessel element differentiation.
496
Figure S5. Changes in the expression of genes putatively involved in glycolysis in mock-treated
497
VND7-VP16-GR BY-2 cells.
498
Figure S6. Changes in expression of genes putatively involved Phe biosynthesis in mock-treated
499
VND7-VP16-GR BY-2 cells.
500
501
Table S1. Correlated metabolites of PC1 within PCA analysis of time-sequential wide-target
502
metabolome data for protoxylem vessel element differentiation.
503
Table S2. Correlated metabolites of PC2 within PCA analysis of time-sequential wide-target
504
metabolome data for protoxylem vessel element differentiation.
505
Table S3. Relative amount data for 128 metabolites in VND7-VP16-GR BY-2 cells during
506
protoxylem vessel element differentiation.
507
Table S4. Relative amount data for 128 metabolites in wild-type BY-2 cells after DEX treatment.
508
Table S5. Expression profiles of BY-2 contigs putatively homologous to Arabidopsis VND7
509
direct target genes.
510
Table S6. Expression profiles of BY-2 contigs putatively involved in primary metabolic
511
regulation.
512
Table S7. Primer sequences used in this study.
513
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514
Acknowledgments
515
516
We thank Mr. Muneo Sato, Mr. Yutaka Yamada, and Ms. Akane Sakata (RIKEN) for their
517
excellent technical assistance in LC/MS analysis, Ms. Megumi Ozaki and Ms. Yumiko Oku
518
(Kyoto University) for their excellent technical assistance in lignin determination, and Dr.
519
Minoru Kubo, Dr. Arata Yoneda, Dr, Ko Kato, Dr. Hitoshi Endo, and Dr. Bo Xu (NAIST) for
520
fruitful discussions. Lignin analysis was carried out by the FBAS collaborative program of the
521
Research Institute for Sustainable Humanosphere, Kyoto University.
522
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523
Table 1. Top 15 metabolites with high and low correlation scores for PC1 within the PCA
524
analysis of time-sequential wide-target metabolome data for protoxylem vessel element
525
differentiation.
Metabolitea
Type of metabolism
Class of
Correlation
p value
metabolites
Top 15 metabolites with high correlation scores for PC1
Aspartic acid
Primary
Amino acid
0.920638002
7.76E-28
Glutamic acid
Primary
Amino acid
0.915312495
5.70E-27
Threonine
Primary
Amino acid
0.897000219
2.25E-24
Histidine
Primary
Amino acid
0.896197896
2.84E-24
L-Allothreonine
Primary
Amino acid
0.890719092
1.35E-23
Proline
Primary
Amino acid
0.877349881
4.39E-22
Malate
Primary
Other
0.860575996
2.03E-20
Lysine
Primary
Amino acid
0.853053294
9.67E-20
Methylguanidine
Primary
Other
0.840276945
1.13E-18
2-Aminoethylphosphonate
Primary
Other
0.800972489
6.78E-16
alpha-Methyl-histidine
Primary
Amino acid
0.787859709
4.20E-15
L-threo-3-Methylaspartate
Primary
Amino acid
0.774852194
2.27E-14
1-Aminocyclopentanecarboxyl
Primary
Amino acid
0.767925228
5.32E-14
Primary
Amino acid
0.740290592
1.22E-12
ate
Glutamine
36
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1,3-Diaminopropane
Primary
Other
0.72246723
7.51E-12
Top 15 metabolites with low correlation scores for PC1
Threonate
Primary
Other
-0.684909553
2.26E-10
2,3-Diaminopropanoate
Primary
Other
-0.656676739
2.14E-09
Guanine
Primary
Other
-0.606504405
6.76E-08
Alanine
Primary
Amino acid
-0.598142463
1.14E-07
Psicose
Primary
Other
-0.554363533
1.37E-06
4-Aminobutanoate
Primary
Amino acid
-0.5504808
1.68E-06
S-Methylmethionine
Primary
Amino acid
-0.544953166
2.24E-06
Glycerate
Primary
Other
-0.510460119
1.19E-05
Deoxyinosine
Primary
Other
-0.506239536
1.45E-05
Adenosine
Primary
Other
-0.471957628
6.32E-05
Uridine
Primary
Other
-0.444140615
0.000187238
Glucose 1-phosphate
Primary
Other
-0.437642617
0.000238154
Inosine
Primary
Other
-0.427176328
0.000347355
D-Alanyl-D-alanine
Primary
Amino acid
-0.376960084
0.001809199
Phenylalanine
Primary
Amino acid
-0.366290228
0.002488166
Deoxyadenosine
Primary
Other
-0.365496858
0.002546748
526
527
a
Amino acid-related metabolites are shown in bold.
528
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529
Table 2. Top 15 metabolites with high and low correlation scores for PC2 within the PCA
530
analysis of time-sequential wide-target metabolome data for protoxylem vessel element
531
differentiation.
Metabolitea
Type of
Class of
metabolism
metabolites
Correlation
p value
Top 15 metabolites with high correlation scores for PC2
Cytidine
Primary
Other
0.851704009
1.27E-19
Guanosine
Primary
Other
0.849274728
2.05E-19
Adenine
Primary
Other
0.819066281
4.33E-17
N6-(L-1,3-Dicarboxypropyl)-L-lysine
Primary
Amino acid
0.796352172
1.31E-15
Tyramine
Primary
Other
0.788972897
3.62E-15
Norleucine
Primary
Amino acid
0.755687444
2.24E-13
Pipecolate
Primary
Other
0.714945999
1.55E-11
Carnosine
Primary
Amino acid
0.699673617
6.31E-11
Uridine
Primary
Other
0.671463343
6.80E-10
L-Leucine
Primary
Amino acid
0.663135214
1.31E-09
Deoxyadenosine
Primary
Other
0.661653026
1.46E-09
3'-CMP
Primary
Other
0.637400317
8.67E-09
Deoxyguanosine
Primary
Other
0.63691194
8.98E-09
L-Isoleucine
Primary
Amino acid
0.61833074
3.16E-08
Adenosine
Primary
Other
0.611578222
4.90E-08
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Top 15 metabolites with low correlation scores for PC2
Carnitine
Primary
Other
-0.723203992
6.98E-12
D-Arabitol
Primary
Other
-0.679416094
3.57E-10
Pelargonidin 3-O-Glc
secondary
Flavonoid
-0.652569752
2.90E-09
Hypotaurine
Primary
Other
-0.626529626
1.83E-08
Pyridoxamine
Primary
Other
-0.594416155
1.42E-07
O-Acetyl-L-serine
Primary
Amino acid
-0.541259749
2.70E-06
Mannose 6-phosphate
Primary
Other
-0.525065728
6.01E-06
N-acetyl-DL-serine
Primary
Amino acid
-0.514816671
9.76E-06
Galactosamine
Primary
Other
-0.510753618
1.18E-05
Alanine
Primary
Amino acid
-0.474843701
5.62E-05
N-Acetylneuraminate
Primary
Other
-0.473072912
6.04E-05
Thiamine
Primary
Other
-0.469162515
7.08E-05
Serine
Primary
Amino acid
-0.447716665
0.000163683
Mannose 1-phosphate
Primary
Other
-0.417155822
0.000492976
Ethanolamine phosphate
Primary
Other
-0.407927601
0.000674143
Noradrenaline
Primary
Other
-0.399776603
0.00088232
532
533
a
Amino acid-related metabolites are shown in bold.
39
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Copyright © 2016 American Society of Plant Biologists. All rights reserved.
534
Figure legends
535
536
Figure 1. Transitional differentiation rates of protoxylem vessel elements in VND7-VP16-GR
537
BY-2 cells. A, Ratios of undifferentiated (light gray), differentiating (hatched), and differentiated
538
(dark gray) cells at each time point of the incubation with DEX. Data show the means ± SD (n =
539
3). B, Undifferentiated BY-2 cell with a clear nucleus structure (arrow). C, Differentiating BY-2
540
cells with a thin helical SCW (arrowheads) and a nucleus (arrow). D, Differentiated cell with
541
thick SCWs (arrowheads) lacking nuclear and cytosolic structures. Shrunken cell contents
542
(asterisk) were observed in cells that had completed differentiation. Scale bar = 20 µm (B-D).
543
544
Figure 2. Metabolic changes associated with protoxylem vessel element differentiation. Principle
545
component analysis (PCA) plots of mock-treated (i.e. ethanol-treated) and DEX-treated
546
VND7-VP16-GR BY-2 and non-transgenic wild-type (WT) cells. Treatment times (in hours) are
547
indicated. The x- and y-axes indicate the first component (PC1) and second component (PC2),
548
respectively. The independent triplicate samples were collected and examined for each time point.
549
550
Figure 3. Changes in amino acid-related metabolites derived from intermediate compounds in the
551
glycolysis pathway during protoxylem vessel element differentiation. Mock-treated (white
552
squares) and DEX-treated (gray diamonds) VND7-VP16-GR BY-2 cells were collected at the
553
indicated time points and relative amounts of metabolites were obtained. Data are the means ±
554
S.D. (n = 3). Asterisks indicate statistically significant differences between mock-treated and
40
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Copyright © 2016 American Society of Plant Biologists. All rights reserved.
555
DEX-treated samples at each time point (*, p < 0.05; **, p < 0.01; Student’s t-test).
556
557
Figure 4. Changes in amino acid-related metabolites derived from oxaloacetate and
558
2-oxoglutarate during protoxylem vessel element differentiation. Mock-treated (white squares)
559
and DEX-treated (gray diamonds) VND7-VP16-GR BY-2 cells were collected at the indicated
560
time points and relative amounts of metabolites were obtained. Data are the means ± S.D. (n = 3).
561
Asterisks indicate statistically significant differences between mock-treated and DEX-treated
562
samples at each time point (*, p < 0.05; **, p < 0.01; Student’s t-test).
563
564
Figure 5. Changes in the expression of genes putatively involved in glycolysis during
565
protoxylem vessel element differentiation in DEX-treated VND7-VP16-GR BY-2 cells.
566
Expression data are shown for genes encoding the indicated enzymes. Each circle indicates the
567
proportion of contigs increased (red, FC>4 and orange, 2<FC<4), unchanged (yellow, 0.5<FC<2),
568
and decreased (sky blue, 0.25<FC<0.5 and deep blue, FC<0.25) compared with the expression
569
level at 0 h of DEX treatment, at the indicated time point. Glu-6-P, D-glucose-6-P; Fru-6-P,
570
fructose-6-phosphate;
571
dihydroxy-acetone-phosphate;
572
1,3-bisphospho-D-glycerate; 3-PG, 3-phospho-D-glycerate; 2-PG, 2-phospho-D-glycerate; PEP,
573
phosphoenolpyruvate; and Pyr, pyruvate. FC, fold change.
Fru-1,6-bP,
GAP,
fructose-1,6-bisphosphate;
glyceraldehyde
3-phosphate;
DHAP,
1,3-bPG,
574
575
Figure 6. Changes in expression of genes putatively involved Phe biosynthesis during
41
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Copyright © 2016 American Society of Plant Biologists. All rights reserved.
576
protoxylem vessel element differentiation in DEX-treated VND7-VP16-GR BY-2 cells.
577
Expression data are shown for genes encoding the indicated enzymes. Each circle indicates the
578
proportion of contigs increased (red, FC>4 and orange, 2<FC<4), unchanged (yellow, 0.5<FC<2),
579
and decreased (sky blue, 0.25<FC<0.5 and deep blue, FC<0.25) compared with the expression
580
level at 0 h of DEX treatment, at the indicated time point. E4P, erythrose-4-phosphate; PEP,
581
phosphoenolpyruvate;
582
5-enolpyruvyl-shikimate 3-phosphate. FC, fold change.
DAHP,
3-deoxy-D-arabino-heptulosonate-7-phosphate;
and
EPSP,
583
584
Figure 7. Changes in fructose-6-phosphate, phosphoenolpyruvate, UDP-glucose, p-coumaric
585
acid and lignin contents during protoxylem vessel element differentiation. A-C, Mock-treated
586
(white squares) and DEX-treated (gray diamonds) wild-type (WT, left panels) and
587
VND7-VP16-GR (right panels) BY-2 cells were collected at the indicated time points, and
588
fructose-6-phosphate (A), phosphoenolpyruvate (B), and UDP-glucose (C) were quantified by
589
CE/MS analysis. D, Relative amounts of p-coumaric acid detected in LC/MS analysis (left) and
590
lignin contents measured by thioglycolic acid methods (right). Data are the means ± S.D. (n = 3)
591
for mock-treated wild-type (WT, white bars), DEX-treated wild-type (WT, light gray bars),
592
mock-treated VND7-VP16-GR (dark gray bars), and DEX-treated VND7-VP16-GR (black bars).
593
Asterisks indicate statistically significant difference between mock-treated and DEX-treated
594
samples at each time point (*, p < 0.1; **, p < 0.05; ***, p < 0.01; Student’s t-test).
595
596
Figure S1. Changes in amino acid-related metabolites derived from intermediate compounds in
42
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Copyright © 2016 American Society of Plant Biologists. All rights reserved.
597
the glycolysis pathway in the wild-type BY-2 cells. Mock-treated (white squares) and
598
DEX-treated (gray diamonds) wild-type BY-2 cells were collected at the indicated time points
599
and relative amounts of metabolites were obtained. Data are the means ± S.D. (n = 3). Asterisks
600
indicate statistically significant difference between mock-treated and DEX-treated samples at
601
each time point (*p < 0.05, **p < 0.01; Student’s t-test).
602
603
Figure S2. Changes in amino acid-related metabolites derived from oxaloacetate and
604
2-oxoglutarate in the wild-type BY-2 cells. Mock-treated (white squares) and DEX-treated (gray
605
diamonds) wild-type BY-2 cells were collected at the indicated time points and relative amounts
606
of metabolites were obtained. Data are the means ± S.D. (n = 3). Asterisks indicate statistically
607
significant difference between mock-treated and DEX-treated samples at each time point (*, p <
608
0.05; **, p < 0.01; Student’s t-test).
609
610
Figure S3. Clustering analysis of tobacco contigs putatively homologous to Arabidopsis VND7
611
direct target genes. The 603 contigs with high sequence similarities to VND7 direct target genes
612
of Arabidopsis were subjected to clustering analysis. All clusters other than Clusters 1, 3, and 5
613
showed upregulation of expression under DEX treatment. i, DEX-treated samples to induce
614
VND7 activity; m, mock-treated samples.
615
616
Figure S4. Quantitative RT-PCR analysis of selected BY-2 genes putatively homologous to
617
Arabidopsis VND7 direct target genes during protoxylem vessel element differentiation. Left
43
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Copyright © 2016 American Society of Plant Biologists. All rights reserved.
618
y-axis shows the relative expression levels of IRX7, IRX8, IRX9, IRX10, IRX12, IRX14, and
619
MAP70-5, and right y-axis shows the relative expression levels of CesA and XCP. Results are
620
means ± S.D. (n = 3).
621
622
Figure S5. Changes in the expression of genes putatively involved in glycolysis in mock-treated
623
VND7-VP16-GR BY-2 cells. Expression data are shown for genes encoding the indicated
624
enzymes. Each circle indicates the proportion of contigs increased (red, FC>4 and orange,
625
2<FC<4), unchanged (yellow, 0.5<FC<2), and decreased (sky blue, 0.25<FC<0.5 and deep blue,
626
FC<0.25) compared with the expression level at 0 h of DEX treatment, at the indicated time point.
627
Glu-6-P, D-glucose-6-P; Fru-6-P, fructose-6-phosphate; Fru-1,6-bP, fructose-1,6-bisphosphate;
628
DHAP,
629
1,3-bisphospho-D-glycerate; 3-PG, 3-phospho-D-glycerate; 2-PG, 2-phospho-D-glycerate; PEP,
630
phosphoenolpyruvate; and Pyr, pyruvate. FC, fold change.
dihydroxy-acetone-phosphate;
GAP,
glyceraldehyde
3-phosphate;
1,3-bPG,
631
632
Figure S6. Changes in expression of genes putatively involved Phe biosynthesis in mock-treated
633
VND7-VP16-GR BY-2 cells. Expression data are shown for genes encoding the indicated
634
enzymes. Each circle indicates the proportion of contigs increased (red, FC>4 and orange,
635
2<FC<4), unchanged (yellow, 0.5<FC<2), and decreased (sky blue, 0.25<FC<0.5 and deep blue,
636
FC<0.25) compared with the expression level at 0 h of DEX treatment, at the indicated time point.
637
E4P,
638
3-deoxy-D-arabino-heptulosonate-7-phosphate; and EPSP, 5-enolpyruvyl-shikimate 3-phosphate.
erythrose-4-phosphate;
PEP,
phosphoenolpyruvate;
44
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Copyright © 2016 American Society of Plant Biologists. All rights reserved.
DAHP,
639
FC, fold change.
640
45
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Copyright © 2016 American Society of Plant Biologists. All rights reserved.
641
46
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