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Research ArticleCELL BIOLOGY AND SIGNAL TRANSDUCTION
Characterization of a Grapevine R2R3-MYB Transcription Factor That Regulates the Phenylpropanoid Pathway
Laurent Deluc, François Barrieu, Chloé Marchive, Virginie Lauvergeat, Alain Decendit, Tristan Richard, Jean-Pierre Carde, Jean-Michel Mérillon, Saïd Hamdi
Laurent Deluc
François Barrieu
Chloé Marchive
Virginie Lauvergeat
Alain Decendit
Tristan Richard
Jean-Pierre Carde
Jean-Michel Mérillon
Saïd Hamdi
Published February 2006. DOI: https://doi.org/10.1104/pp.105.067231
The ripening of grape (Vitis vinifera) berry is characterized by dramatic changes in gene expression, enzymatic activities, and metabolism that lead to the production of compounds essential for berry quality. The phenylpropanoid metabolic pathway is one of the components involved in these changes. In this study, we describe the cloning and functional characterization of VvMYB5a, a cDNA isolated from a grape L. cv Cabernet Sauvignon berry library. VvMYB5a encodes a protein belonging to a small subfamily of R2R3-MYB transcription factors. Expression studies in grapevine indicate that the VvMYB5a gene is mainly expressed during the early steps of berry development in skin, flesh, and seeds. Overexpression of VvMYB5a in tobacco (Nicotiana tabacum) affects the expression of structural genes controlling the synthesis of phenylpropanoid and impacts on the metabolism of anthocyanins, flavonols, tannins, and lignins. Overexpressing VvMYB5a induces a strong accumulation of several phenolic compounds, including keracyanin (cyanidin-3-rhamnoglucoside) and quercetin-3-rhamnoglucoside, which are the main anthocyanin and flavonol compounds in tobacco. In addition, VvMYB5a overexpression increases the biosynthesis of condensed tannins and alters lignin metabolism. These findings suggest that VvMYB5a may be involved in the control of different branches of the phenylpropanoid pathway in grapevine.
Phenylpropanoids are a diverse group of plant secondary metabolites, including anthocyanins, flavonols, proanthocyanidins (PAs), and lignins (Fig. 1), that accumulate in a wide variety of plant tissues. In grape (Vitis vinifera) berry, flavonoids, like flavonols, protect the plant against UV radiations (Winkel-Shirley, 2002), whereas others, such as anthocyanins, help attract seed-dispersal agents. Moreover, PAs subsequently lead to condensed tannins (CTs), which are known to protect plants against microbial and fungal growth (Dixon et al., 2005).
Scheme of branch pathways of phenylpropanoid metabolism in plants leading to the synthesis of anthocyanins, flavonols, PAs, and lignin. Enzymes that function in multiple or specific pathways are indicated. Abbreviations are as follows: ANR, anthocyanidin reductase; ANS/LDOX, anthocyanidin synthase; CAD, cinnamyl alcohol dehydrogenase; C4H, cinnamate 4-hydroxylase; CCR, cinnamyl-CoA reductase; C3H, 4-coumarate 3-hydroxylase; 4CL, 4-coumarate-CoA ligase; CHS, chalcone synthase; CHI, chalcone isomerase; COMT, caffeic acid O-methyltransferase; DFR, dihydroflavonol 4-reductase; F3H, flavanone 3-hydroxylase; F3′H, flavonoid 3′-hydroxylase; F5H, ferulate 5-hydroxylase; FLS, flavonol synthase; 3GT (UFGT), UDPG-flavonoid-3-O-glucosyltransferase; LAR, leucoanthocyanidin reductase; LDOX, leucoanthocyanidin dioxygenase; PAL, Phe ammonia-lyase; 3RT, anthocyanidin-3-glucoside rhamnosyl transferase.
Flavonoids also play an important role in the quality of wine. Anthocyanin compounds are the major constituents of red wine color. CTs are important organoleptic components of wines because they are responsible for bitterness and astringency. They are also considered critical elements in the stability of red wine color (Glories, 1988). In addition to these properties, nutrient and health benefits have been reported for nearly all classes of phenylpropanoids, especially stilbenes such as trans-resveratrol (Pervaiz, 2003). Flavonoids, which increase the antioxidant capacity of cells and tissues (Hollman and Katan, 1999; Lairon and Amiot, 1999; Bagchi et al., 2000), are responsible for the antioxidant property of red wine. In vitro studies have revealed the powerful antioxidant properties of some anthocyanins from grape berry such as malvidin 3-O-β-glucoside and peonidin 3-O-β-glucoside (Fauconneau et al., 1997; Mérillon et al., 1997). PAs are also powerful antioxidants with beneficial effects on human cardiac health (Bagchi et al., 2003) and immunity (Lin et al., 2002). As a consequence, moderate red wine drinkers have a reduced risk of cardiovascular disease and cancer (Klatsky, 2002).
Even though the polyphenol composition of grape berries has been extensively studied (Boss et al., 1996; Kennedy et al., 2000; Downey et al., 2003), little is known about the regulation of genes involved in the flavonoid pathway during berry development. In plants, regulation of the genes involved in flavonoid metabolism has been studied in petunia (Petunia hybrida), maize (Zea mays), snapdragon (Antirrhinum majus), and Arabidopsis (Arabidopsis thaliana; Cone et al., 1986; Paz-Ares et al., 1987; Martin et al., 1991; Quattrochio et al., 1993; Holton and Cornish, 1995; Mol et al., 1998; Borevitz et al., 2000) and more recently in fruit species (Aharoni et al., 2001; Mathews et al., 2003). These studies have identified a conserved regulatory mechanism of the flavonoid biosynthetic pathway, which appears to be under the control of two families of transcription factors, the MYC and MYB proteins. In grape berry, the coordinated expression of most of the structural genes involved in this pathway, except UDP Glc:flavonoid-3-O-glucosyltransferase (UFGT), suggests the involvement of two groups of regulatory factors during berry ripening (Boss et al., 1996). The first group might control expression of Phe ammonia-lyase (PAL), chalcone synthase (CHS), chalcone isomerase (CHI), flavanone 3-hydoxylase (F3H), dihydroflavonol 4-reductase (DFR), and anthocyanidin synthase (ANS), and the other induces UFGT gene expression. If this were so, the first regulatory genes would have to be expressed early in berry development, whereas a second group of transcription factors triggering among others UFGT expression would be expressed when grape ripening begins (e.g. after véraison). Recently, a MYB-related gene associated with the regulation of the UFGT gene was identified in Vitis labruscana berries (Kobayashi et al., 2002). Retrotransposon-induced mutations in this gene, named VvMYBA1, are associated with the lack of anthocyanin biosynthesis in white cultivars of Vitis (Kobayashi et al., 2004). To date, no study, to our knowledge, has isolated the MYB regulatory genes expressed in the early stages of berry development and potentially involved in the regulation of flavonoid gene expression. In this study, we report the functional characterization of a transcriptional regulator, named VvMYB5a, isolated from a Cabernet Sauvignon cDNA library. The VvMYB5a gene belongs to a small cluster of R2R3-MYB genes and is mainly expressed in the early steps of berry development. Overexpression of VvMYB5a in tobacco (Nicotiana tabacum) affects the expression levels of flavonoid structural genes and leads to high accumulation of anthocyanins and PAs, especially in flowers. In addition, VvMYB5a is also involved in the regulation of monolignol metabolism, thus delaying anther development. Taken together, our findings indicate that VvMYB5a might represent a R2R3-MYB transcription factor potentially involved in the control of various parts of the phenylpropanoid pathway in plants.
VvMYB5a Sequence Features
Using PCR on a grape berry cDNA library at the véraison stage, we identified one clone, named VvMYB5a, encoding a putative R2R3 MYB protein. VvMYB5a appeared to be a full-length cDNA of 1,213 bp encoding a protein of 320 amino acids. The amino-terminal extremity contains the R2R3 imperfect repeats responsible for binding to target DNA sequences and is highly conserved among R2R3-MYB proteins (Fig. 2A; Solano et al., 1995). The DNA-binding domain also contains a shorter sequence closely related to amino acid residues found in the maize transcriptional activator C1 (Grotewold et al., 2000) and required to interact with a basic helix-loop-helix cofactor (IR domain; Fig. 2A). In addition to the conserved C1 motif (Kranz et al., 1998), two other motifs were detected in the VvMYB5a protein (Fig. 2A). The first motif, named C3, is found only in a few MYB proteins with no clear physiological function (Li et al., 1996). The second motif is a Gln-rich domain (Fig. 2A), QQQQQQQQLQQVQQP, with no assigned biological function at this time. Finally, no C2 motif (Jin et al., 2000) was found on the VvMYB5a protein.
Features of VvMYB5a protein. A, Schematic representation of the major functional domains in the VvMYB5a protein based on data derived from sequence comparisons. R2 and R3 are the two repeats of the MYB DNA-binding domain (DBD). The IR domain corresponds to the residues involved in putative interaction with MYC proteins (glutamine-rich domain [GRD]). B, Phylogenetic analysis of a selection of plant MYB proteins was performed by using a BLAST algorithm on the GenBank and EMBL databases. The VvMYB5a protein sequence was aligned to known plant MYB sequences, and their distance relationships were resolved using the neighbor-joining tree-building method. The human protein c-MYB is used as an outgroup. See "Materials and Methods" for accession numbers.
A phylogenetic analysis of 22 plant MYB proteins by the neighbor-joining method (Fig. 2B) indicates that VvMYB5a belongs to a distinct cluster of four MYB proteins with no assigned biological functions at this time. This small cluster does not contain any other MYB proteins from Vitis such as VlMYBA and B (Kobayashi et al., 2002). Regarding the sequence homology, the overall VvMYB5a protein sequence shares little homology with known MYB proteins. The nearest neighbor, a cotton (Gossypium hirsutum) seed MYB factor, named BnGHl233, displays only 59% overall identity with the VvMYB5a protein sequence.
VvMYB5a Expression in Grapevine Tissues
VvMYB5a expression in both vegetative and reproductive grapevine plant tissues was analyzed by semiquantitative reverse transcription (RT)-PCR followed by Southern blotting using the VvMYB5a 3′-untranslated region (UTR) as a radiolabeled probe to avoid cross hybridization with other members of the MYB gene family (Fig. 3). Expression was detected in all tissues studied with the highest levels in berries and leaves. In berry (Fig. 3A), VvMYB5a expression appeared high in the early stages of development and then decreased rapidly to a very low level after the véraison stage 8 weeks after flowering. The same pattern was observed in flesh, skin, and seed tissues with a high expression in skin 6 weeks after flowering compared to other berry tissues (Fig. 3B). In leaves, VvMYB5a expression was high compared to root tissues and was not modified by the developmental stages (Fig. 3C). In summary, expression of the VvMYB5a gene is not fruit specific but is clearly down-regulated during grape berry development and in a similar way in different fruit tissues.
VvMYB5a expression in grapevine tissues. Southern blots of semiquantitative RT-PCR products blotted onto nylon membrane and hybridized with the radiolabeled VvMYB5a 3′-UTR probe. Elongation factor EF1-γ was used as a control. A, Expression of VvMYB5a during grape berry development (berry flesh and skin). B, Expression of VvMYB5a in berry tissues. C, Expression of VvMYB5a in grapevine tissues harvested from fruit cutting.
Overexpression of VvMYB5a in Tobacco May Affect the Expression of General Phenylpropanoid Biosynthetic Genes
To ascertain a putative function for VvMYB5a, we used tobacco as a model system for heterologous expression experiments. Primary transformants, T1 and T2 generation of transgenic tobacco plants overexpressing VvMYB5a under the control of the cauliflower mosaic virus 35S promoter, showed no significant differences in growth compared to wild-type lines. Because several MYB proteins are known to play important roles in transcriptional regulation of phenylpropanoid biosynthetic genes, the effect of VvMYB5a overexpression on three genes encoding enzymes related to the general phenylpropanoid metabolism (Fig. 1) was examined by semiquantitative RT-PCR analyses in leaves of transgenic plants (Fig. 4, A and B). Expression of PAL and 4-coumaroyl-CoA ligase (4CL) appeared unaffected by VvMYB5a overexpression. In contrast, expression of the gene encoding cinnamate 4-hydroxylase (C4H) was slightly, but significantly, induced in leaves of transgenic lines compared to wild-type nontransformed plants (Fig. 4B).
Analysis of general phenylpropanoid gene expression in leaves of transgenic tobacco overexpressing VvMYB5a. A, Transcripts for three biosynthetic genes of the general phenylpropanoid metabolism (PAL, C4H, and 4CL) were detected by semiquantitative RT-PCR in leaves from three VvMYB5a independent lines (A–C) and compared to wild-type lines. VvMYB5a indicates the transgene expression level. UBI was used as a quantitative control. B, Quantification of the RT-PCR results shown in A was performed by measuring the intensity per millimeters squared (Quantity One software; Bio-Rad) of the bands and calculating the ratios between the bands in the gene-specific blot and its corresponding band in the UBI control blot (transcript ratio). Data are means ± se of two semiquantitative RT-PCR experiments from two independent RNA extractions. Asterisk (*) indicates a significant difference from wild-type plants (P ≤ 0.01; Student's t test).
Accumulation of Anthocyanin and PA-Derived Compounds in Transgenic Tobacco Flowers
If the vegetative parts of the VvMYB5a-overexpressing plants were not showing any phenotypic differences when compared to wild-type plants, significant changes in coloring were detected in petals of transgenic tobacco flowers (Fig. 5, B and F). The most important modifications were observed in stamens, where the amount of pigmentation was clearly greater in transgenic stamens (Fig. 5, D and H) than in control stamens (Fig. 5, C and G). Another aspect that appeared in transgenic lines was the accumulation of CTs in transgenic petals. Dimethylaminocinnamaldehyde (DMACA) reagent, known to interact with CTs (Xie et al., 2003), provided a blue staining in epidermal cells of petal limbs from VvMYB5a lines that was not observed in the control plants (Fig. 5, I and J). HPLC analysis and quantification indicate a significant accumulation of epicatechin-derived compounds together with a high concentration of free monomer units of CT (10.2 ± 0.08 mg/g fresh weight) in transgenic petals compared to wild-type plants (1.18 ± 0.43 mg/g fresh weight; Table I). CT accumulation was also detected in transgenic seeds with increased levels in the seed coat compared to control seeds (Fig. 5, K and L). No CT accumulation was observed in stamens regardless of the developmental stage.
Accumulation of phenylpropanoid compounds in VvMYB5a-overexpressing plants. Flowers of transgenic plants (B) showed a clear phenotypic change in petal and stamen pigmentation compared to wild-type flowers (A). Increased pigmentation is observed in petal epidermal cells of transgenic plants (F) compared to control lines (E). A strong red pigmentation is also observed in transgenic stamen epidermal cells (D and H) compared to wild-type stamens (C and G). DMACA staining of petal cells (J) and seed coats (L) from transgenic lines show CT accumulation compared to control petals (I) and seeds (K). E to J, Bars = 50 μm.
Epicatechin and catechin content (milligrams per gram fresh weight tissue) of wild-type and transgenic plants from petal extracts
Quantitative determination of catechin and epicatechin content in tobacco flowers has been performed by HPLC. The eluate was monitored at 280 nm. Purified standards of catechin and epicatechin were used as controls. Data are the means ± sd of two replicates. N.D., Not detected.
Quantification and Identification of Anthocyanins from Petal and Stamen Extracts
Chromatographic profiles at 521 nm (Fig. 6) identified anthocyanin compounds and other flavonoids and provided interesting results with regard to the differential distribution of polyphenolic compounds in petal limbs and stamens from transgenic or control plants. In control plants, all compounds present in petal limbs were detected in small quantities in stamen tissues (peaks 2, 4, and 5) or were absent, as shown by peaks 1 and 3 (Fig. 6, A and B).
HPLC analysis of methanolic extracts from control and VvMYB5a petals and stamens. A, HPLC chromatograms at 521 nm from transgenic (VvMYB5a) and control (wild-type) petals. B, HPLC chromatograms at 521 nm from transgenic (VvMYB5a) and control (wild-type) stamens. Peaks 1, 2, and 4 are unknown. Peak 3 corresponds to cyanidin-3-rhamnoglucoside and peak 5 corresponds to quercitin-3-rhamnoglucoside. Each chromatogram has been obtained from the same injected quantity of sample (0.375 mg dry weight).
In petal limbs of transgenic tobacco, overexpression of VvMYB5a triggered a slight increase in most compounds cited above with the exception of compound 2, which surprisingly decreased compared to the wild-type sample (Fig. 6A). On the other hand, a spectacular increase in peak 3 (retention time = 17 min) was observed in stamens, together with a weak increase in peaks 4 and 5 and the appearance of peak 1 (Fig. 6B). Peak 3 was collected and found to yield a pure compound. Fast-atom bombardment+ mass spectroscopy showed [M]+ peak at mass-to-charge ratio = 595 consistent with molecular formula C27H31O15. The structure of this compound was elucidated by 1H- and 13C-NMR experiments (see Supplemental Table I). By comparison with the literature (Torskangerpoll et al., 1999) and our experimental data, the aglycon was confirmed to be cyanidin with a Rha and a Glc unit. The compound was finally identified as cyanidin 3-O-(6″-O-α-rhamnopyranosyl-β-glucopyranoside), also known as keracyanin. Cochromatography with an authentic standard confirmed this identification. Quantitative determination of total anthocyanin content was performed by spectrophotometry in stamens and petal limbs (Table II). The largest variations were detected for stamen tissue, with a total estimated anthocyanin concentration of 4.33 ± 0.08 mg/g dry weight for transgenic plants, whereas no basal level was detected in wild-type plants. In transgenic petal limbs, a slight, but significant, accumulation was present (3.39 ± 0.09 mg/g dry weight) as compared to wild type (1.48 ± 0.26 mg/g dry weight). HPLC quantification of cyanidin-3-rhamnoglucoside content confirmed the increase in anthocyanin production in transgenic petals and stamens (Table III). The anthocyanin metabolic pathway in the various tissues studied gave an unequal production of cyanidin-3-rhamnoglucoside because it represented 83% of total anthocyanin content in VvMYB5a stamens, 61% in VvMYB5a petals, and 80% in wild-type petals. In addition to these analyses regarding anthocyanin-derived compounds, peak 5, which increases slightly in transgenic petals and stamens (Fig. 6, A and B), yielded a pure compound that was identified as rutin (quercetin 3-O-(6″-O-α-rhamnopyranosyl-β-glucopyranoside) by mass spectrometry and 1H- and 13C-NMR (see Supplemental Table II). In summary, VvMYB5a overexpression enhances the anthocyanin biosynthetic pathway, but several lines of evidence suggest that the production of other flavonoid compounds is altered in transgenic lines.
Total anthocyanin content (milligrams per gram dry weight tissue) of wild-type and transgenic plants from stamen and petal extract
Quantitative determination of total anthocyanin content in tobacco flowers has been performed by spectrophotometry at 535 nm. A purified standard of keracyanin was used as a control. Data are the means ± sd of four replicates. N.D., Not detected.
Table III.
Keracyanin content (milligrams per gram dry weight tissue) of wild-type and transgenic plants from stamen and petal extract
Quantitative determination of keracyanin content in tobacco flowers has been performed by HPLC. The eluate was monitored at 521 nm. A purified standard of keracyanin was used as a control. Data are the means ± sd of four replicates. N.D., Not detected.
VvMYB5a-Regulated Phenylpropanoid Gene Expression in Flowers
RT-PCR analysis (Fig. 7, A–D) for three independent lines indicated that VvMYB5a can act as an activator of expression of different phenylpropanoid structural genes in tobacco flowers. In stamens (Fig. 7, C and D), expression of genes involved in the flavonoid biosynthetic pathway, like CHS, CHI, F3H, and DFR, appeared strongly up-regulated compared to wild-type plants. A moderate increase in expression of CHS, CHI, and F3H was also detected in petal limbs of two out of three transgenic lines. In addition, the expression of DFR in petals was clearly down-regulated compared to wild-type plants (Fig. 7, A and B). Northern-blot analysis using a heterologous ANS cDNA probe from Petunia revealed an enhancement in transcript levels in transgenic petal limbs but no up-regulation was detected in stamens (Fig. 7E). Taken together, these results indicate that the regulatory mechanisms of gene expression by VvMYB5a could be different between these two organs.
Analysis of transcript accumulation in flowers of transgenic tobacco overexpressing VvMYB5a. A, Transcripts for four flavonoid biosynthetic genes (CHS, CHI, F3H, and DFR) were detected by semiquantitative RT-PCR in petals from three VvMYB5a independent lines (A–C) and compared to wild-type lines. VvMYB5a indicates the transgene expression level. UBI was used as a quantitative control. B, Quantification of the RT-PCR results shown in A was performed by measuring the intensity per millimeters squared (Quantity One software; Bio-Rad) of the bands and calculating the ratios between the bands in the gene-specific blot and its corresponding band in the UBI control blot (transcript ratio). Data are means ± se of two semiquantitative RT-PCR experiments from two independent RNA extractions. Asterisk (*) indicates a significant difference from wild-type plants (P ≤ 0.01; Student's t test). C, Transcripts for four flavonoid biosynthetic genes (CHS, CHI, F3H, and DFR) were detected by semiquantitative RT-PCR in stamens from three VvMYB5a independent lines (A–C) and compared to wild-type lines. VvMYB5a indicates the transgene expression level. UBI was used as a quantitative control. D, Quantification of the RT-PCR results shown in C was performed by measuring the intensity per millimeters squared (Quantity One software; Bio-Rad) of the bands and calculating the ratios between the bands in the gene-specific blot and its corresponding band in the UBI control blot (transcript ratio). Data are means ± se of two semiquantitative RT-PCR experiments from two independent RNA extractions. Asterisk (*) indicates a significant difference from wild-type plants (P ≤ 0.01; Student's t test). E, Northern-blot analysis of ANS gene expression in petals and stamens from wild-type and VvMYB5a lines. Total RNA was extracted from tissues harvested at the opening of flowers. Experiments were repeated with three VvMYB5a and wild-type lines with similar results.
Disruption of Anther Development and Modification of Lignin Metabolism in VvMYB5a-Overexpressing Plants
Anther development was monitored in plants overexpressing VvMYB5a and in wild type. The overall development was similar in both lines with regard to size and shape of the anthers and filaments. However, anthers of the transgenic line remained undehiscent, whereas pollen grains were freely released from wild-type flowers at the same stage. Germination experiments showed that male sterility of transformed plants was not related to the production of abnormal pollen (data not shown).
Cross sections of tobacco inflorescences before dehiscence showed that anther development was not affected in transgenic plants during the early stages of development described by Koltunow et al. (1990; data not shown). However, while dehiscence occurred in wild-type lines, the anthers stayed closed in the transgenic ones. Close inspection of the anther endothecium showed that this difference was likely related to changes occurring during lignification of the endothecial cell wall (Fig. 8A). During maturation of the endothecial cells, from stage 4 to stage 10, secondary lignified thickenings (fibrous bands) grew along the radial walls of the endothecium but not on the tangential ones (Fig. 8A, II and V). This rigid frame allowed shrinkage of the endothecial cells, breaking of stomium, and release of pollen grains. In transformed plants, fewer endothecial cells developed lignified fibers and these fibers were more often incomplete, covering only part of the radial walls (Fig. 8A, III and VI). In these conditions, the rigidity of the wall frame was lower and the subsequent shrinkage of the anther walls resulting in the release of pollen grains in wild-type plants did not occur in transgenic ones.
Modification of monolignol metabolism in transgenic anthers. A, Cross sections of anthers at stage 10 from wild-type (I–III) and VvMYB5a-overexpressing tobacco plants (IV–VI). Arrows indicate endothecial cells developing complete (II) or incomplete (V) lignified fibers (shown more enlarged in III and VI, respectively). ep, Epidermis; end, endothecium. Bars = 500 μm (I and IV), 100 μm (II and V), and 20 μm (III and VI). B, Transcripts for monolignol biosynthetic genes (COMT, CAD, and CCoAOMT1, 5, and 6) were detected by semiquantitative RT-PCR in stamens from three VvMYB5a independent lines (A–C) and compared to wild-type lines. VvMYB5a indicates the transgene expression level. UBI was used as quantitative control. C, Quantification of the RT-PCR results shown in B was performed by measuring the intensity per millimeters squared (Quantity One software; Bio-Rad) of the bands and calculating the ratios between the bands in the gene-specific blot and its corresponding band in the UBI control blot (transcript ratio). Data are means ± se of two semiquantitative RT-PCR experiments from two independent RNA extractions. Asterisk (*) indicates a significant difference from the wild-type plants (P ≤ 0.01; Student's t test).
Expression studies of structural genes involved in the monolignol biosynthetic pathway such as cinnamyl alcohol dehydrogenase (CAD), caffeic acid-O-methyltransferase (COMT) I, and caffeoyl coenzyme A 3-O-methyltransferase (CCoAOMT) 1, 5, and 6 were performed in tobacco anther tissues (Fig. 8B). If transcript levels of CAD, COMT I, and CCoAOMT5 remain unaffected by VvMYB5a overexpression, a clear decrease of CCoAOMT1 gene expression was observed in transgenic lines. Expression level of CCoAOMT6 also appeared lower in stamens of two out of three transgenic lines when compared to wild type (Fig. 8C).
VvMYB5a, a Particular Type of R2R3-MYB Protein?
This study shows that constitutive overexpression of VvMYB5a, a cDNA encoding a R2R3-MYB transcription factor from grape berry, results in clear phenotypic changes in tobacco. The whole phenylpropanoid pathway was affected with a general increase in the levels of flavonols, anthocyanins, PAs, and a decrease in monolignols. Except for AtPAP1, which triggers the activation of the lignin and anthocyanin pathways in Arabidopsis (Borevitz et al., 2000), it is unusual that a single gene is able to control different branches of the same metabolic pathway. Global and local protein analyses showed weak sequence homology between VvMYB5a and other known R2R3-MYB proteins whose functions have already been investigated, including AtPAP1. Analyses restricted to the usually well-conserved R2R3 domain indicate that the closest homolog for the VvMYB5a R2R3 domain is found on the repressor AtMYB4, with only 66% sequence homology, followed by 64% of homology for AmMYB330 and AmMYB308 domains. However, these MYB factors are all involved in the repression of target gene expression and contain the conserved C2 motif pdLNLD/ElxiG/S. in their C-terminal region that was not detected in VvMYB5a (Jin et al., 2000; Aharoni et al., 2001). Without ruling out the possibility of a repressive action mode for VvMYB5a, the absence of a C2 motif suggests that it might act differentially in the control of phenylpropanoid biosynthetic gene expression. Another interesting element within the protein sequence of VvMYB5a is the presence of a conserved motif, named C3, which is found exclusively in the three nearest homologs of VvMYB5a: AtMYB5, BnGHi233, and OsMYB4. Although OsMYB4 appears to be involved in plant chilling tolerance (Vannini et al., 2004), the functionality of AtMYB5 and BnGHi233 is not well understood; however, none of these regulatory proteins appear to be involved in the control of the flavonoid pathway (Li et al., 1996). According to Kranz and Stracke classifications (Kranz et al., 1998; Stracke et al., 2001), where in Arabidopsis AtMYB5 belongs to a subgroup represented only by itself, the sequence homology between VvMYB5a, AtMYB5, BnGHi233, and OsMYB4 might indicate the emergence of a small MYB cluster with members like OsMYB4 and VvMYB5a involved in the control of surprisingly various physiological functions.
Overexpression of VvMYB5a Impacts on Different Branches of the Phenylpropanoid Pathway
The results presented in this study indicate that a single R2R3-MYB gene, VvMYB5a, may impact not only on one or two branches of the phenylpropanoid pathway, but on nearly the whole pathway when overexpressed in tobacco. Thus, overexpression of VvMYB5a affects the expression of various phenylpropanoid structural genes. These transcriptional modifications are accompanied by significant variations of the amounts of phenolic compounds, including anthocyanins, PAs, lignins, and, to a lesser extent, flavonols. In Arabidopsis, ectopic expression of the MYB transcription factor AtPAP1 leads to the up-regulation of PAL, CHS, and DFR gene expression and is sufficient to enhance production of both lignin and anthocyanin compounds (Borevitz et al., 2000). However, and unlike PAP1 in Arabidopsis, which appears to be active in the same way in all vegetative and reproductive organs throughout development when overexpressed (Borevitz et al., 2000), the impact of VvMYB5a overexpression on the phenylpropanoid pathway in tobacco appears variable, depending on the tissue or organ studied. This difference might provide some interesting information regarding the regulatory mechanisms of the phenylpropanoid pathway in plants. In leaves, overexpression of VvMYB5a leads to up-regulation of C4H gene expression, but the genes encoding PAL and 4CL are not affected. In stamens, where no anthocyanins are detected in wild-type plants, VvMYB5a is able to induce transcription of both early and late genes of the anthocyanin pathway, except ANS, and this activation correlates with a strong accumulation of final products in epidermal cells. In petals where anthocyanins are normally synthesized in wild-type plants, overexpression of VvMYB5a leads to a moderate activation of structural gene expression and anthocyanins and PAs are produced. Interestingly, DFR gene expression is clearly reduced in transgenic petals, whereas ANS expression increases. In stamens, DFR induction is not correlated with a modification of ANS gene expression. In Arabidopsis, recent work from Abrahams and coworkers (2003) indicates that ANS is not only a key enzyme for the formation of anthocyanins but also is essential for PA synthesis. In the anthocyanin and CT biosynthesis pathway (Fig. 1), a high ANS activity would lead to the accumulation of anthocyanidins, which are subsequently substrates for anthocyanin synthesis via 3-glucosyltransferase (3GT) and/or CT biosynthesis via anthocyanidin reductase (ANR). Because of the competition between 3GT and ANR for substrate, this particular step of the phenylpropanoid pathway may represent the control point between anthocyanin and PA biosynthesis (Dixon et al., 2005). According to our results, it is possible that low anthocyanidin concentrations would favor 3GT activity and the anthocyanin pathway, whereas higher concentrations would allow 3GT and ANR activities and lead to anthocyanin and CT biosynthesis. Whether high ANS gene expression can be related to the decrease in DFR gene expression in transgenic petals remains to be investigated.
Apart from the anthocyanins and PA metabolism, overexpression of VvMYB5a also impacts on lignin biosynthesis. In anther cells, lignified fibers were partially missing in transgenic plants, resulting in delayed dehiscence. These observations probably reflect the impact of VvMYB5a overexpression in the regulatory mechanisms of the monolignol pathway. The decrease in expression of two CCoAOMT genes in transgenic lines is consistent with previous results demonstrating the key role of CCoAOMT for both lignin accumulation and composition in plants (Zhong et al., 1998). Our observations may also be compared with recent findings concerning a MYB gene, named AtMYB26, which regulates cell wall fortification in endothecium cells (Steiner-Lange et al., 2003). Likewise, failure in anther dehiscence is also observed in HvGAMYB sense barley (Hordeum vulgare) plants where anther development is altered and results in male sterility (Murray et al., 2003). However, the fact that AtMYB26 and HvGAMYB gene expression occurred exclusively in inflorescences, whereas VvMYB5a was expressed in all grapevine tissues, suggests that its regulatory mode and array of target genes could be different.
A Putative Role for VvMYB5a in Grapevine?
While VvMYB5a is able to regulate various branches of the phenylpropanoid pathway when overexpressed in tobacco, the function of this R2R3-MYB regulatory protein remains to be determined in grapevine. However, some lines of evidence indicate that VvMYB5a might also be involved in the control of the phenylpropanoid pathway in grapevine. In grape berry skin, a strong expression of genes encoding enzymes of the anthocyanin biosynthetic pathway, except UFGT, is detected up to 4 weeks after flowering. This first activation of gene expression is followed by a regular decrease in transcript abundance up to the véraison stage, where a second activation occurs for all genes, including UFGT, and coincides with the onset of anthocyanin biosynthesis (Boss et al., 1996). Such expression patterns indicate that anthocyanin biosynthesis in berry skin may be under the control of at least two types of regulatory factors, one expressed early during berry development that will induce expression of all structural genes, except UFGT, and another expressed later that will induce expression of all genes, including UFGT. Another possibility is the presence of regulatory factors expressed before and after véraison and regulating the expression of all structural genes, except UFGT, along with regulatory factors specifically regulating UFGT gene expression and expressed only after véraison (Boss et al., 1996). The recent characterization of a MYB gene from V. labruscana regulating specifically UFGT gene expression (Kobayashi et al., 2002) appears to favor this second possibility. In this case, the high expression of VvMYB5a before véraison in all berry tissues studied may indicate its implication in the first activation of structural gene expression observed during the early steps of grape berry development. If so, and, as already suggested by its expression pattern in this organ, VvMYB5a would not be directly involved in the anthocyanin accumulation observed in grape berry skin after véraison. However, the enzymes implicated in this first activation are also necessary for other biosynthetic pathways, notably those leading to flavonols and PAs (Fig. 1). Interestingly, in grape seeds, PAs accumulate mainly between fruit set and véraison (Downey et al., 2003), when VvMYB5a is highly expressed. In this tissue, epicatechin is the major constituent representing about 65% of the total PA subunits (Downey et al., 2003). Thus, the strong accumulation of epicatechin-derived compounds in petals of VvMYB5a-overexpressing tobacco plants might suggest a role for this regulatory factor in the control of PA biosynthesis in grape seeds.
In any case, further work in a homologous system, like loss-of-function experiments, is now required to determine the precise function of VvMYB5a. Reproducible genetic engineering is slowly becoming a reality in grapevine, but, in our case, loss-of-function experiments may be difficult to interpret because of the possible functional redundancy within the R2R3-MYB family in plants (Jiang et al., 2004). In the case of gene families that have functional redundancy, related family members may have to be suppressed to observe a phenotype (Liljegren et al., 2000). Thus, identification of all the R2R3-MYB genes in the grape genome appears to be a prerequisite for undertaking the functional characterization of grapevine MYB genes in a homologous system. Complete sequencing of the grape genome will probably allow such experiments to take place in the coming years and will definitely be useful for ascertaining the role of MYB transcription factors in the regulation of the phenylpropanoid pathway in grapevine.
Berries from grape (Vitis vinifera) L. cv Cabernet Sauvignon plants from the Domaine du Grand Parc (Institut National de la Recherche Agonomique) were sampled at 2-week intervals during the 2002 and 2003 growing seasons. Berry development stages were chosen according to criteria including size, measures of soluble sugars, softening, and coloring of the berries as previously described by Boss et al. (1996). Berries for RNA extraction were sampled and immediately frozen in liquid nitrogen before storage at −80°C pending further analysis. Separate skin and flesh samples were obtained by peeling fresh berries just before freezing in liquid nitrogen.
Wild-type and transgenic tobacco (Nicotiana tabacum cv Xanthii) seeds were sterilized in 70% ethanol for 2 min followed by 2.5% potassium hypochlorite for 10 min, and finally washed three times with sterile water. After cold treatment at 4°C for 48 h, seeds were germinated in tissue culture conditions at 23°C under a 16-h-light/8-h-dark regime on Murashige and Skoog medium (Murashige and Skoog, 1962) containing 3% (w/w) Suc and 100 μg/mL kanamycin for transgenic plants. Tobacco plants were finally transferred to soil and grown in individual pots in a greenhouse.
Cloning of VvMYB5a cDNA and Plant Transformation
A cDNA library from grape L. cv Cabernet Sauvignon berries (véraison stage) was constructed using the SMART cDNA library construction kit (CLONTECH) and used as a template for PCR cloning. Two degenerated oligonucleotides designed from plant MYB cDNA conserved sequences, 5′-GANRTMAARAAYTAYTGGAACWCN-3′ (forward) and 5′-NGTGTTCCARTARTTYTTKAYNTC-3′ (reverse) were used in combination with the T7 and 5′ primers located in the pTriplex vector (CLONTECH). PCR products were cloned into the pGEM-T-easy plasmid (Promega) and sequenced on both strands (Genome Express). Specific oligonucleotides defined within the 5′ and 3′ noncoding regions were used to amplify the VvMYB5a full-length cDNA.
For plant transformation, the complete coding sequence of VvMYB5a cDNA was amplified with a specific forward primer designed to introduce a XbaI restriction site (5′-AACCAATGGATCCGTCTAGAGAGA-3′) and a reverse primer designed to introduce a SacI restriction site (5′-CAAGAGTGGGAGCTCATACAACATC-3′). The XbaI/SacI fragment was cloned into binary vector pGiBin19 (provided by Dr. D. Inzé, Gent, Belgium) between the 35S promoter of Cauliflower mosaic virus and the nopaline synthase poly(A) addition site, creating the pGiBin19-VvMYB5a plasmid. The construction was introduced into Agrobacterium tumefaciens LB4401 strain. Leaf disc transformation and regeneration of transgenic plants were performed as previously described (Horsch et al., 1986). Transformed tobacco plants were selected using kanamycin (100 μg/mL) as a selective marker. Fifteen independent lines from the T2 progeny of transgenic plants showing no phenotypic variations were used for further analysis and compared to wild-type nontransformed lines grown in the same conditions (Aharoni et al., 2001).
RNA Extraction and Analysis
Three different procedures of RNA extraction were used, depending on the plant material. Total RNAs from grape berry tissues were extracted according to the method described by Asif et al. (2000). RNA from wild-type and transformed tobacco leaves were extracted using RNeasy plant mini kits (Qiagen), according to the manufacturer's instructions. Finally, total RNA from tobacco flower tissues was extracted as described by Verwoerd et al. (1989). All RNA samples were treated with RNase-free DNase I (Promega) followed by phenol-chloroform extraction and ethanol precipitation. No DNA contamination was detected based on PCR amplification. All RNA analyses were performed at least three times with three independent samples. For semiquantitative RT-PCR assays, gene-specific primers were chosen preferentially in the 3′-UTR regions of the target mRNAs and are listed in Table IV. To estimate the transcript levels of the VvMYB5a transgene in tobacco, we used a forward primer specific for VvMYB5a (5′-CCCCACCCAGCAATTTCTGTG-3′) in combination with a reverse primer designed from the 3′ transcribed region of the nopaline synthase terminator (5′-TCATCGCAAGACCGGCAACA-3′). Specific primers for tobacco CHI, DFR, and C4H were designed from cDNA clones generously provided by Dr. Cathie Martin (John Innes Centre) to whom requests may be addressed. The ANS cDNA probe from petunia (Petunia hybrida) was provided by Dr. Asaph Aharoni (Plant Research International). In all cases, cloning and sequencing the RT-PCR products confirmed the amplification specificity.
Table IV.
Primers for RT-PCR analysis
For RT-PCR analysis, 1 μg of total RNA was reverse transcribed with oligo(dT) 12 to 18 in a 20-μL reaction mixture using the Maloney murine leukemia virus reverse transcriptase (Promega) according to the manufacturer's instructions. After heat inactivation of the reaction mixture, PCR was performed using 1 μL of the first-strand cDNA sample with 25 pmol of the primers shown in Table I in a 50-μL reaction. For all experiments presented in this study, 15 cycles of PCR amplification were performed, except for the detection of the VvMYB5a transgene in tobacco, where 20 cycles were performed. RT-PCR products were separated on agarose gels and analyzed by DNA gel-blot hybridization using random-primed 32P gene-specific probes, according to standard protocols (Sambrook et al., 1989). Signals were visualized with an FX molecular imager (Bio-Rad) and quantified using Quantity One software (Bio-Rad). The relative expression level for each target gene was determined by calculating the ratio of the target gene intensity to the ubiquitin (UBI) intensity signal obtained from the same cDNA preparation.
RNA gel blots were prepared and hybridized according to standard protocols (Sambrook et al., 1989). Equal loading of RNA samples and uniform transfer onto membranes were confirmed by ethidium bromide staining of the RNA gels and/or hybridization with a 32P-labeled UBI probe. After hybridization at 42°C, membranes were washed at room temperature three times for 20 min each in 1× SSC and 0.1% SDS, followed by one wash in 0.2× SSC and 0.1% SDS at 65°C for 15 min before exposure to a phosphor-imager screen (Molecular Imager FX; Bio-Rad).
Quantification of Anthocyanins from Petal and Stamen Extracts
Petal limbs and stamens were harvested from transgenic and wild-type tobacco plants at equivalent ages and submitted to freeze drying. Each sample (30 mg dry weight) was extracted with methanol 0.32 m HCl (85:15, v/v) overnight at 4°C. After centrifugation (3,000 rpm, 5 min), absorbance of the supernatant was measured at 535 nm with a Secoman S250 spectrophotometer. Total anthocyanin content was calculated according to the extinction coefficient (E1% = 461 at this wavelength in the same solvent) of keracyanin (cyanidin-3-rhamnoglucoside) purified from transgenic and wild-type tobacco flowers or purchased from Extrasynthese. Each extract was then diluted with an equal volume of water. One-hundred microliters of each diluted sample were analyzed by HPLC with a Prontosil Eurobound C18 (5 μm) reversed-phase column (4 mm i.d. × 250 mm; Bischoff) with guard column. Solvents used for the separation were 0.1% trifluoroacetic acid in water (A) and 0.1% trifluoroacetic acid in acetonitrile (B). The elution program at 0.6 mL/min was 12% to 26% B (0–35 min), 26% to 100% B (35–36 min), 100% B (36–49 min), 100% to 12% B (49–50 min), and 12% B (50–60 min). The chromatogram was monitored at 521 nm. Keracyanin content was estimated from a calibration curve obtained with pure compound using the same HPLC conditions. HPLC analyses and purification were carried out on a Gilson gradient system equipped with a UV visible detector (Spectra Physics model SP8450). Mass spectra were recorded with VG Autospec-Q in the fast-atom bombardment+ mode. NMR spectra were recorded at 303 K on a 500-MHz Bruker spectrometer using CD3OD as a solvent. All analyses were performed three times throughout these investigations.
Quantification of PA-Derived Compounds
Extraction of CTs was carried out as described by Geny et al. (2003) and measurements were performed according to the method of Saucier et al. (2001). HPLC analyses were carried out on a Spectra Physics system fitted with a UV visible detector driven by a PC1000 system. Each extract was then diluted 10-fold with methanol and analyzed by HPLC with a HYPERSIL-KEYSTONE R BDS-C18 (5 μm) reversed-phase column (4 mm i.d. × 250 mm). Solvents used for the separation were acetic acid (5%) in water (A) and methanol in acetic acid solution (B). The elution program at 1 mL/min was 30% to 60% B (0–15 min), 100% B (16–25 min), and 30% B (26–30 min).
Histology of Anthers and Histochemical Staining of CTs
For histological studies, anthers from wild-type or transgenic tobacco were successively fixed by 2.5% glutaraldehyde, 1% osmium tetroxide, and 1% tannic acid, dehydrated in ethanol and epoxypropane, and embedded in epon. Semithin sections, 2.5-μm thick, were stained by 0.05% toluidine blue in sodium tetraborate containing water. Lignin-containing cell walls are heavily blue stained.
CTs were visualized according to Porter (1989) by incubating tissue slices in a mixture of ethanol:6 m HCl (1:1, v/v) containing 0.1% (w/v) DMACA (Sigma-Aldrich) for 3 to 6 min, then washing three times with water. The samples were observed with a Zeiss Axiophot microscope and digitized pictures were obtained with a Spot camera (Diagnostic Instruments).
Sequence and Phylogenic Analyses
BLAST (National Center for Biotechnology Information) was used for sequence searches. Sequence analysis was performed using Vector NTI Suite (Invitrogen) and BLAST (Altschul et al., 1990) at the National Center for Biotechnology Information (http://www.ncbi.nlm.nih.gov). Multiple sequence alignments and phylogenic analyses were performed using Vector NTI Suite and Multalin (Corpet, 1988; http://prodes.toulouse.inra.fr/multalin/multalin.html). These two methods gave similar results regarding sequence homologies and phylogenic positioning of VvMYB5a. Tree View software (Page, 1996) was used to optimize the presentation of the phylogenic tree in Figure 2.
The GenBank accession number for the VvMYB5a cDNA described in this article is AY555190. Accession numbers for the sequences shown in Figure 2 are as follows: c-MYB (X52125), AmDivaricata (AAL78741), PhMYB3 (CAA78388), AtGL1 (P27900), Zm-P (AAB67720), ZmP1 (M37153), ZmC1 (AAA33482), VlMYBA2 (BAC07540), AtPAP1 (AAG42001), PhAN2 (AAF66727), LeANT1 (AAQ55181), OsMYB4 (T02988), AtMYB5 (U26935), BnLGHi233 (AF336278), VlMYBB1 (BAC07543), PhMYB1 (Z13996), AmMixta (CAA55725), AtMYB4 (BAA21619), FaMYB1 (AAK84064), AmMYB330 (JQ0957), and AmMYB308 (JQ0960). Accession numbers for the regions used as gene-specific probes are listed in Table IV.
We thank Pr. Dr. Serge Delrot and Dr. Christopher Augur for comments and advice on the manuscript and Dr. L. Geny for PA analysis and quantification. We are grateful to Dr. Cathie Martin and Dr. Asaph Aharoni for providing some of the cDNA probes used in this study.
The author responsible for distribution of materials integral to the findings presented in this article in accordance with the policy described in the Instructions for Authors (www.plantphysiol.org) is: Saïd Hamdi (said.hamdi{at}bordeaux.inra.fr).
Article, publication date, and citation information can be found at www.plantphysiol.org/cgi/doi/10.1104/pp.105.067231.
↵1 This work was supported by grants from the Conseil Interprofessionnel du Vin de Bordeaux.
↵2 Present address: Department of Biochemistry, University of Nevada, Reno, NV 89557.
Received June 17, 2005.
Revised December 6, 2005.
Published December 29, 2005.
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You are going to email the following Characterization of a Grapevine R2R3-MYB Transcription Factor That Regulates the Phenylpropanoid Pathway
Plant Physiology Feb 2006, 140 (2) 499-511; DOI: 10.1104/pp.105.067231
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text:
Liu Zheng (born August 1954) is a retired lieutenant general in the People's Liberation Army of China. He served as Deputy Head of the PLA General Logistics Department. In November 2014 he was placed under investigation by the PLA's anti-corruption agency.

Liu was a member of the 12th National People's Congress.

Life and career
Liu was born and raised in Yingkou, Liaoning. He graduated from PLA Second Artillery Engineering University, majoring in electronics and communication engineering. After college, he was assigned to the PLA General Logistics Department (GLD). Liu obtained the rank of major general in July 2006. In December 2009 he was promoted to become Chief of Staff of the GLD, a position he held until December 2012, while he was promoted again to become Deputy Head of the GLD. He attained the rank of lieutenant-general in August 2014. On January 15, 2015, the People's Liberation Army announced that he has been under investigation since December 2014 for "suspected legal violations".

References

1954 births
Living people
People's Liberation Army generals from Liaoning
People from Yingkou
Delegates to the 12th National People's Congress

redpajama_set_name: RedPajamaWikipedia


text:
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Object.defineProperty(exports, '__esModule', { value: true });

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/**
 * +/- function to native math sign
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function signPoly(value) {
  if (value < 0) return -1;
  return value > 0 ? 1 : 0;
}

var sign = Math.sign || signPoly;
/**
 * Checks if the flag is set
 * @param val
 * @param flag
 * @returns {boolean}
 */

function hasFlag(val, flag) {
  return (val & flag) === flag;
}
/**
 * Native modulo bug with negative numbers
 * @param n
 * @param mod
 * @returns {number}
 */

function mod(n, mod) {
  return (n % mod + mod) % mod;
}
/**
 * Asserts a value is beetween min and max
 * @param val
 * @param min
 * @param max
 * @returns {number}
 */

function bound(val, min, max) {
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}
/**
 * Get value of an object property/path even if it's nested
 */

function getValueByPath(obj, path) {
  return path.split('.').reduce(function (o, i) {
    return o ? o[i] : null;
  }, obj);
}
/**
 * Extension of indexOf method by equality function if specified
 */

function indexOf(array, obj, fn) {
  if (!array) return -1;
  if (!fn || typeof fn !== 'function') return array.indexOf(obj);

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 * https://www.abeautifulsite.net/detecting-mobile-devices-with-javascript
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function removeElement(el) {
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function isVueComponent(c) {
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/**
 * Escape regex characters
 * http://stackoverflow.com/a/6969486
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function escapeRegExpChars(value) {
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function toCssWidth(width) {
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 * Return month names according to a specified locale
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 * @param  {String} format long (ex. March), short (ex. Mar) or narrow (M)
 * @return {Array<String>} An array of month names
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function getMonthNames() {
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 * @param  {Number} first day of week index
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function getWeekdayNames() {
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  return dates.map(function (d) {
    return dtf.format(d);
  });
}
/**
 * Accept a regex with group names and return an object
 * ex. matchWithGroups(/((?!=<year>)\d+)\/((?!=<month>)\d+)\/((?!=<day>)\d+)/, '2000/12/25')
 * will return { year: 2000, month: 12, day: 25 }
 * @param  {String} includes injections of (?!={groupname}) for each group
 * @param  {String} the string to run regex
 * @return {Object} an object with a property for each group having the group's match as the value
 */

function matchWithGroups(pattern, str) {
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  return pattern // get the pattern as a string
  .toString() // suss out the groups
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function isCustomElement(vm) {
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var isDefined = function isDefined(d) {
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exports.bound = bound;
exports.createAbsoluteElement = createAbsoluteElement;
exports.createNewEvent = createNewEvent;
exports.escapeRegExpChars = escapeRegExpChars;
exports.getMonthNames = getMonthNames;
exports.getValueByPath = getValueByPath;
exports.getWeekdayNames = getWeekdayNames;
exports.hasFlag = hasFlag;
exports.indexOf = indexOf;
exports.isCustomElement = isCustomElement;
exports.isDefined = isDefined;
exports.isMobile = isMobile;
exports.isVueComponent = isVueComponent;
exports.isWebpSupported = isWebpSupported;
exports.matchWithGroups = matchWithGroups;
exports.merge = merge;
exports.mod = mod;
exports.multiColumnSort = multiColumnSort;
exports.removeElement = removeElement;
exports.sign = sign;
exports.toCssWidth = toCssWidth;

redpajama_set_name: RedPajamaGithub


text:
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.IO;

namespace Imagination.Model
{
	public class ObjectType
	{
		public string Path { get; set; }

		public int ObjectTypeID { get; set; }

		public List<int> Instances { get; set; }

		public ObjectType()
		{
			Instances = new List<int>();
		}

        public void Serialise(Stream stream)
        {
            IPCHelper.Write(stream, Path);
            IPCHelper.Write(stream, ObjectTypeID);
            IPCHelper.Write(stream, Instances.Count);
            foreach (int item in Instances)
            {
                IPCHelper.Write(stream, item);
            }
        }

        public static ObjectType Deserialise(Stream stream)
        {
            ObjectType result = new ObjectType();
            result.Path = IPCHelper.ReadString(stream);
            result.ObjectTypeID = IPCHelper.ReadInt32(stream);
            int count = IPCHelper.ReadInt32(stream);
            if (count > 0)
            {
                for (int index = 0; index < count; index++)
                {
                    int item = IPCHelper.ReadInt32(stream);
                    result.Instances.Add(item);
                }
            }
            return result;
        }

        internal static int Compare(ObjectType x, ObjectType y)
        {
            int result = x.ObjectTypeID.CompareTo(y.ObjectTypeID);
            if (result == 0)
            {
                result = x.Instances.Count.CompareTo(y.Instances.Count);
                if (result == 0)
                {
                    foreach (int xItem in x.Instances)
                    {
                        bool found = false;
                        foreach (int yItem in y.Instances)
                        {
                            if (xItem == yItem)
                            {
                                found = true;
                                break;
                            }
                        }
                        if (!found)
                        {
                            result = 1;
                            break;
                        }
                    }
                }
            }
            return result;
        }
    }
}


text:
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She is very responsive and accomodating.A great way to ensure the success of this strategy is by forming a relationship with your customers throughout the trip or excursion. This article is a fantastic example of how you could ask your customers to review your services. This is probably the easiest part of the whole process. Spend 20 minutes each day checking your online profiles and thank customers who have left you a positive review.
Do you have any other tips on how tour and activity operators can gain more review online. Are you interested in TrekkSoft's powerful marketing tools. Why not sign up for a free demo. Our software was created for tour and activity operators like you. She is now based in KL and regularly blogs about her travels at Next Train Out. TrekkSoft was founded to address the needs of our local tour and activity industry in Interlaken, Switzerland.
We understand the industry and you can rely on our team to onboard your business, introduce you to digital best practice, and guide you to success from the start.
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If you must, ask From quite a few tours that I've been on, this seems to be a message given either in the middle of the tour with a reminder at the end, or at the end of the tour.
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To index Purpose, Assumptions. The t-test is the most commonly used method to evaluate the differences in means between two groups. For example, the t-test can be used to test for a difference in test scores between a group of patients who were given a drug and a control group who received a placebo. Theoretically, the t-test can be used even if the sample sizes are very small (e.
As mentioned before, the normality assumption can be evaluated by looking at the distribution of the data (via histograms) or by performing a normality test. The equality of variances assumption can be verified with the F test, or you can use the more robust Levene's test.
If these conditions are not met, then you can evaluate the differences in means between two groups using one of the nonparametric alternatives to the t- test (see Nonparametrics and Distribution Fitting). The p-level reported with a t-test represents the probability of error involved in accepting our research hypothesis about the existence of a difference.
Technically speaking, this is the probability of error associated with rejecting the hypothesis of no difference between the two categories of observations (corresponding to the groups) in the population when, in fact, the hypothesis is true. Some researchers suggest that if the difference is in the predicted direction, you can consider only one half (one "tail") of the probability distribution and thus divide the standard p-level reported with a t-test (a "two-tailed" probability) by two.
Others, however, suggest that you should always report the standard, two-tailed t-test probability. See also, Student's t Distribution. In order to perform the t-test for independent samples, one independent (grouping) variable (e.
The means of the dependent variable will be compared between selected groups based on the specified values (e. The following data set can be analyzed with a t-test comparing the average WCC score in males and females. In the t-test analysis, comparisons of means and measures of variation in the two groups can be visualized in box and whisker plots (for an example, see the graph below). These graphs help you to quickly evaluate and "intuitively visualize" the strength of the relation between the grouping and the dependent variable.
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More Complex Group Comparisons. It often happens in research practice that you need to compare more than two groups (e. In these cases, you need to analyze the data using Analysis of Variance, which can be considered to be a generalization of the t-test. However, when the design is more complex, ANOVA offers numerous advantages that t-tests cannot provide (even if you run a series of t- tests comparing various cells of the design).
To index Within-group Variation. As explained in Elementary Concepts, the size of a relation between two variables, such as the one measured by a difference in means between two groups, depends to a large extent on the differentiation of values within the group. Depending on how differentiated the values are in each group, a given "raw difference" in group means will indicate either a stronger or weaker relationship between the independent (grouping) and dependent variable.
However, if the same difference of 2 was obtained from very differentiated scores (e. That is to say, reduction of the within-group variation increases the sensitivity of our test. The t-test for dependent samples helps us to take advantage of one specific type of design in which an important source of within-group variation (or so-called, error) can be easily identified and excluded from the analysis.
Specifically, if two groups of observations (that are to be compared) are based on the same sample of subjects who were tested twice (e. However, if the same sample was tested twice, then we can easily identify (or "subtract") this variation. Specifically, instead of treating each group separately, and analyzing raw scores, we can look only at the differences between the two measures (e. By subtracting the first score from the second for each subject and then analyzing only those "pure (paired) differences," we will exclude the entire part of the variation in our data set that results from unequal base levels of individual subjects.
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