Highlight
Characterization of grape GA signalling components and GA quantitation unveil the berry-size regulating DELLA, and show that differential organ responses stem from both VvDELLAs and endogenous GA levels.
Key words: F-box proteins, GA receptors, gibberellins (GAs), gibberellin signalling, grapevine (Vitis vinifera), VvDELLA proteins.
Abstract
Gibberellins (GAs) regulate numerous developmental processes in grapevine (Vitis vinifera) such as rachis elongation, fruit set, and fruitlet abscission. The ability of GA to promote berry enlargement has led to its indispensable use in the sternospermocarpic (‘seedless’) table grape industry worldwide. However, apart from VvGAI1 (VvDELLA1), which regulates internode elongation and fruitfulness, but not berry size of seeded cultivars, little was known about GA signalling in grapevine. We have identified and characterized two additional DELLAs (VvDELLA2 and VvDELLA3), two GA receptors (VvGID1a and VvGID1b), and two GA-specific F-box proteins (VvSLY1a and VvSLY1b), in cv. Thompson seedless. With the exception of VvDELLA3-VvGID1b, all VvDELLAs interacted with the VvGID1s in a GA-dependent manner in yeast two-hybrid assays. Additionally, expression of these grape genes in corresponding Arabidopsis mutants confirmed their functions in planta. Spatiotemporal analysis of VvDELLAs showed that both VvDELLA1 and VvDELLA2 are abundant in most tissues, except in developing fruit where VvDELLA2 is uniquely expressed at high levels, suggesting a key role in fruit development. Our results further suggest that differential organ responses to exogenous GA depend on the levels of VvDELLA proteins and endogenous bioactive GAs. Understanding this interaction will allow better manipulation of GA signalling in grapevine.
Introduction
Bioactive gibberellins (GA) are phytohormones involved in major physiological processes (Fleet and Sun, 2005; Yamaguchi, 2008). The most common bioactive GAs in higher plants are GA1, GA4, and GA7, a small subset of the more than 136 GAs identified (MacMillan, 2001). The richest sources of GAs in most plants are seeds (Dennis Jr. and Nitsch, 1966), inflorescences, and nodes (Kaufman et al., 1976). In seeds, GA is synthesized in the embryo (Kaneko et al., 2003), while the tapetum of anthers, stamens, flower receptacles, and rosette leaves constitute specific synthesis sites in flowering plants (Kaneko et al., 2003; Hu et al., 2008). The metabolic processes regulating GA biosynthesis and/or deactivation in these organs are tightly controlled by its concentration, as well as developmental, hormonal, and environmental cues (Yamaguchi, 2008). Generally, GA levels are elevated in reduced GA-response mutant backgrounds, and vice versa (Thomas et al., 1999; Ueguchi-Tanaka et al., 2005; Griffiths et al., 2006).
The involvement of GAs in grapevine (Vitis vinifera) berry development and size determination was first described by Coombe (1960). In the berries of seeded cultivars, GAs are produced by the seeds (Lavee, 1960). Application of GA to seeded grape cultivars prior to anthesis increases fruit set and induces parthenocarpy (Chundawat et al., 1971); causes lignification and contortion of the rachis (Agüero et al., 2000); and induces berry enlargement in some cultivars (Nijjar and Bhatia, 1969), while reducing berry size in others (Chundawat et al., 1971).
In stenospermocarpic cultivars, which represent the majority of the ‘seedless’ commercial cultivars, fertilization is followed by endosperm abortion, which occurs early during fruit development and leads to cessation of seed development. In these cultivars, seeds serve as the primary source of GA only prior to abortion (Conde et al., 2007). Thus, the berries of these cultivars are usually small with relatively low levels of GA (Iwahori et al., 1967). To enhance berry size and viticulturally important traits such as rachis elongation and berry abscission, seedless cultivars have been treated with GA since the late 1950s (Weaver, 1958). However, GA application at other developmental stages can have negative effects on reproductive development in grapes: when applied at anthesis GAs may induce formation of shot-berry, and enhance berry abscission (Mosesian and Nelson, 1968). In addition, early application of GA to shoots may reduce fruitfulness due to the development of uncommitted primordia to tendrils (Srinivasan and Mullins, 1981).
Seedless cultivars show a wide range of sensitivity to GA treatment (Wolf and Loubser, 1992). Parallel to these varietal differences, differential GA sensitivity has also been reported in tissues/organs within the cultivar (Mullins et al., 1992; Agüero et al., 2000), although the basis for these differences remains unknown. To understand the underlying mechanism of GA response in grapevine in general, and in the berry in particular, it is imperative to elucidate the grapevine GA signalling components. Recent studies showed that GA receptors and the early GA signalling pathway are highly conserved in higher plants (Hirano et al., 2008; Sun, 2011). The GA signal is perceived by its nuclear receptor GA INSENSITIVE DWARF1 (GID1). GA activates its signalling pathway by promoting interaction between GID1 and DELLA, a GA signalling repressor. Binding of GA-GID1 to DELLA induces recognition of DELLA for ubiquitination by a specific F-box protein (SLY1 in Arabidopsis and GID2 in rice), a subunit of the ubiquitin E3 ligase SCF complex. Once polyubiquitinated, DELLA is degraded rapidly by the 26S proteasome. Thus far, the only characterized GA signalling component in grapevine has been VvGAI1 (Boss and Thomas, 2002), which is a DELLA protein that represses internodes and rachis elongation, but has no effect on berry size. This implies that other component(s) of the GA signalling cascade may regulate grape berry size.
In this study, we isolated and functionally characterized all the grapevine homologues of DELLA, GID1, and SLY1. We also carried out spatiotemporal analysis of VvDELLA, VvGID1, and VvSLY1 transcripts, and of VvDELLA proteins, and investigated their regulation in response to GA3 and the GA biosynthesis inhibitor [paclobutrazol (PAC)] treatments. One of the major findings of this study is that the response of an organ to GA3 application depends on the total amount of VvDELLA proteins and bioactive GAs in the organ.
Materials and methods
Field experiment and sampling
The experiments were conducted in the 2010 and 2011 growing seasons, on 10-year-old Thompson seedless vines (Vitis vinifera L.) growing in a vineyard in Moshav Lachish, Israel (N31°33′33; E34°51′26). The planting system was composed of Y-shaped trellis with planting distances of 3×1 m on Richter 110 (V. berlandieri × V. rupestris) rootstock. Standard cultural practices were applied in the vineyard. All experiments were replicated three times using eight-vine plots arranged in a randomized complete-block design.
Treatment with GA3 and PAC
Groups of 25 uniform 15cm shoots and 25 inflorescences [E-L 15, on the Modified Eichhorn and Lorenz system (Coombe, 1995)] were selected on vines of similar vigour for internode and rachis experiments, respectively. Inflorescences at E-L 17 and clusters at E-L 27 were selected for carpel and berry experiments, respectively. Organs received a single Triton X-100 (0.025%)-formulated GA3 (Pro-Gibb 4%; Abbott Laboratories, Chicago, USA) or 0.8mM PAC (CULTAR 25 SC, Syngenta AG, Basel, Switzerland) application. Rachises and internodes were treated with 121 µM GA3, while carpels and berries were treated with 90 µM GA3. To allow effective inhibition of GA biosynthesis, PAC was applied 4 days before GA3 and control treatments. PAC-GA treatment was included as well, where samples received GA3 application 4 days after PAC treatment. This combined treatment was carried out to verify that growth inhibition by PAC is mainly due to decreased GA biosynthesis, and thus can be reversed if exogenous GA is applied. Triton X-100-treated organs served as controls. All organs were treated either by dipping or spraying to the point of run-off.
Morphological response of organs to GA3 and PAC
Pre-treatment lengths of rachises, and weights of berries, were recorded. Increments in the lengths of rachises and the newest internodes arising after treatment were monitored at 5-day intervals, while berry weights were assessed at 10-day intervals for 30 days.
Sampling for GA response/signalling analyses
Organs and tissues were sampled 6h after GA treatments. All samplings were done before 14:00 to minimize circadian effects on gene expression. Sampled organs and tissues were immediately frozen in liquid nitrogen in the vineyard, and stored at –80°C prior to analyses.
Sampling for temporal and spatial analyses, and GA quantitation
Sampling of young internodes was carried out from the most distal internodes from the base of young shoots at E-L 15, while young rachises were sampled from inflorescences at E-L 15. Tissues and organs at similar developmental stages were marked and sampled at véraison and defined as mature internodes and rachis. Young leaves and tendrils were defined as those borne on the first and second nodes (from the shoot tip), while mature leaves and tendrils were sampled from the 12th node. Carpels were sampled at E-L 17, while berries were sampled at E-L 27, and subsequently at 10 and 30 days after the first sampling, herein referred to as 0, 10 and 30 days after fruit set (DAF), respectively. Roots were obtained from single node cuttings immersed in water for about 21 days. Samples were collected before 09:00 to minimize circadian effects on gene expression.
Phylogenetic analysis of genes associated with GA signalling
Multiple alignment of protein sequences of the Arabidopsis, rice and V. vinifera families were generated using the CLUSTAL W alignment algorithm (Thompson et al., 1994) using AlignX of the Vector NTI suite (Lu and Moriyama, 2004). Phylogenetic unrooted trees were constructed using the neighbour-joining (NJ) method in the web-based Phylogeny.fr software (http://phylogeny.lirmm.fr/phylo_cgi/index.cgi; last accessed: 22 December 2014) (Dereeper et al., 2008).
Gene cloning and plasmid construction
Total RNA was extracted using the CTAB protocol as previously described (Acheampong et al., 2010). First-strand cDNA was synthesized using Moloney Murine Leukemia Virus Reverse Transcriptase (M-MLV RT) (Promega Corporation, Madison, WI, USA) according to the manufacturer’s instructions. Full-length ORFs of all genes were PCR-amplified from cDNA from different organ primer sets listed in Supplementary Table S1. PCR fragments were amplified with primers having the recommended GATEWAY overhangs, cloned into pENTR/D-TOPO or pENTR/SD/D-TOPO vectors (Invitrogen, Carlsbad, CA, USA), and subsequently cloned into the GATEWAY-based, 35S-driven pK7WG2.0 overexpression vector (Karimi et al., 2002) or pET-DEST42 protein expression vector (Invitrogen). The overexpression constructs were introduced into Agrobacterium tumefaciens strain GV3101 by electroporation. To ensure the specificity of the anti-VvDELLA polyclonal antibodies, sequences encoding differential domains were used (VvDELLA1, T101-V205; VvDELLA2, P113-Q226; VvDELLA3, V55-D151). These recombinant His-tagged constructs were expressed in BL21-CodonPlus (DE3) RIPL strains (Strategene, Santa Clara, CA, USA). The full lengths of the VvDELLA genes were also PCR amplified, cloned into the Entry and Destination vectors, and transformed into BL21-CodonPlus (DE3) RIPL cells.
For the yeast two-hybrid (Y2H) assay, pLexA-NLS and pACTII were used as bait and prey expression vectors, respectively, as described previously (Dill et al., 2004). VvGID1 and VvSLY1 proteins were expressed in pLexA-NLS as fusions with LexA DNA binding domain (DNA-BD), while VvDELLA proteins were expressed in pACTII as fusions with the GAL4 activation domain (AD). Primers for Y2H cloning, with appropriate restriction sites are listed in Supplementary Table S2.
Arabidopsis transformation of grape genesUsing the A. tumefaciens-mediated transformation method, 35S promoter-driven grape cDNA constructs were transformed into corresponding Arabidopsis mutants for complementation tests. 35S:VvGID1 was transformed into gid1a-2 gid1c-2 mutants (Griffiths et al., 2006). 35S:VvSLY1 was transformed into sly1-10 +/– plants due to severe infertility of the sly1-10 homozygote line (Steber et al., 1998). Later the sly1-10 homozygote allele was identified in T2 generations of VvSLY1 transformants. 35S:VvDELLA was transformed into the ga1-3 rga-24 mutant (Silverstone et al., 1998). Isolation of homozygous transgenic lines containing single insertion sites was done as described previously (Hu et al., 2008).
Y2H assays
DNA-BD and AD fusion construct co-transformation into Saccharomyces cerevisiae strain L40, growth testing with 3-AT, and β-galactosidase liquid assaying were carried out as described previously (Dill et al., 2004).
Quantitative real-time PCR analyses
The transcript levels of VvGID1s, VvDELLAs, and VvSLY1s were measured by quantitative real-time PCR (qRT-PCR) using Takara SYBR-green Premix Ex Taq (Thermo Fischer Scientific, Waltham, MA, USA) on the Rotor Gene 6000 Real-time PCR machine (QIAGEN, Hilden, Germany). The previously characterized VvGAPDH (Reid et al., 2006) was used as a normalizer; its expression in grapevine organs is not GA regulated (Giacomelli et al., 2013), and its orthologue in Arabidopsis was found to be unaffected by GA (Dill et al., 2004). The SYBR-Green reaction mixture consisted of 12 µl of 0.5 µM forward and reverse primers (Supplementary Table S1), 6 µl of SYBR-Green, and 3 µl of first-strand cDNA. PCR reactions were performed using the following parameters: 15min at 95°C, and 40 cycles of 15 s at 95°C, 20 s at 60°C, and 20 s at 72°C. Each sample was analysed six times, comprising three biological repeats with two technical repeats each. To ensure accurate quantitation of transcripts, we selected and used primers of comparable efficiencies. We also synthesized a plasmid containing the amplicons of all qRT-PCR products of the genes (cloned into the PUC19 vector), linearized it by digesting with BamHI restriction enzyme (NEB, Ipswich, MA, USA), and used it as a template for gene-specific calibration curves, as briefly described below. From an initial concentration of 23 pmol l–1 (42 816 420 copies), 10-fold serial dilutions were made and used as templates. Amplicons were confirmed by agarose gel electrophoresis and sequencing.
Antibody production
Cloning of constructs for protein induction was as described above. Proteins were expressed from constructs encoding differential regions of each VvDELLA protein using 0.5mM IPTG and 200 µg ml–1 rifampicin as previously described (Kuderova et al., 1999). The His-tagged recombinant proteins were subsequently purified using a QIAGEN protein purification kit as detailed in the protocol (QIAGEN). The expressed proteins were sequenced by mass spectrometer to ensure sequence integrity, and used as antigens to produce affinity-purified rabbit anti-VvDELLA polyclonal antibodies. Production and purification of polyclonal antibodies were contracted to GenScript USA Inc (Piscataway, NJ, USA). Recombinant full-length VvDELLA proteins, used as sizing standards to locate endogenous VvDELLA proteins, were also expressed and purified as described above, and quantified using BSA standards.
Protein extraction and immunoblot analyses of VvDELLA proteins
Total plant protein was extracted from organs as previously described (Wang et al., 2006) with slight modifications. Samples were first homogenized in liquid nitrogen in the presence of polyvinyl polypyrrolidone (PVPP). The protein pellets obtained were dissolved in SDS-PAGE sample buffer containing 0.15M Tris (pH 6.8), 1.2% SDS, 30% glycerol, 2.14M β-mercaptoethanol (Sigma Aldrich, St Louis, MO, USA). Extracted proteins were quantified by band intensities confirmed by fractionating on 10% SDS-PAGE gel, and staining with Coomassie protein staining buffer (0.1% Coomassie Brilliant Blue R-250, 50% methanol and 10% glacial acetic acid). Equal amounts of proteins were separated by 10% SDS-PAGE and transferred to PROTEAN nitrocellulose transfer membrane (Whatman GmbH, Dassel, Germany) using the Mini-Protean Transfer system (Bio-Rad Laboratories, Hercules, CA, USA). Detection of protein was as described by Yamamoto et al. (2010) with slight modifications. Blotted membranes were blocked in 3% protein solution (3% milk powder, 50mM Tris-HCl pH 7.5, 150mM NaCl, 0.05% Tween 20) for 1h, and the primary antibody titres were 1:2000, 1:1000, and 1:5000 for VvDELLA1, VvDELLA2, and VvDELLA3, respectively. Purified full-length recombinant proteins of VvDELLA1 (3.75ng), VvDELLA2 (3.75ng), and VvDELLA3 (37.5ng) were used to identify and quantify endogenous VvDELLA proteins for each blot. Chemi-luminescence images of blots were captured by MF-ChemiBIS 2.0 (DNR Bio-Imaging Systems Ltd, Jerusalem, Israel).
Quantitation of endogenous gibberellins
Triplicate samples (0.5g) of freeze-dried organs/tissues were weighed, homogenized in liquid nitrogen, and extracted with 80% methanol containing 1% acetic acid and 2H-labelled GAs as internal standards (Supplementary Table S3), for 1h at 4°C. Samples were centrifuged at 3000g for 10min, and filtered through LRC-2 Frits Bond Elut Reservoir (Varian Inc, Palo Alto, CA, USA) to remove residual plant materials. The solvent (80% methanol, 1% acetic acid) extraction was repeated for 10min, and samples centrifuged and filtered as before. The two extracts were combined and evaporated to dryness at 35°C using Savant SpeedVac Concentrators (Thermo Fischer Scientific). Dried samples were dissolved in 1ml of 80% acetonitrile, 1% acetic acid. The acetonitrile was removed by evaporation in vacuo.
Endogenous bioactive GAs, their precursors, and deactivation products were measured as previously described (Plackett et al., 2012). The prominent ions were analysed by a liquid chromatography tandem mass spectrometry system consisting of a triple quadrupole mass spectrometer (Agilent 6410; Agilent Technologies, Santa Clara, CA, USA) and an Ultra High Performance Liquid Chromatography (UHPLC) system equipped with an octylphenyl column (ZORBAX XDB-Phenyl, 2×50mm, 1.8 µm; Agilent Technologies). The endogenous GA contents were calculated from the peak area ratios of the endogenous GA to internal standards spiked during the extraction process.
Statistical analyses
Unless otherwise stated, all experiments were designed with a completely randomized distribution. Data are presented as the mean ± standard error (SE). Statistical significance for data from field experiments was determined by one-way analysis of variance (ANOVA) followed by Tukey multiple comparison tests (JMP 7.01 software, SAS Institute, Cary, NC, USA), and significance values set at α = 0.05 as indicated in the text and figure legends.
Accession numbers
Sequence data can be found in the NCBI GenBank data libraries under accession numbers: VvGID1a (AM468374), VvGID1b (AM479851), VvDELLA1 (AM459432.1), VvDELLA2 (AM470304.2), VvDELLA3 (AM484828.1), VvSLY1a (AM445694.2), VvSLY1b (AM450967), OsGID1 (Os05g0407500), AtGID1a (At3g05120), AtGID1b (At3g63010), AtGID1c (At5g27320), AtGAI (At1g14920), AtRGA (At2g01570), AtRGL1 (At1g66350), AtRGL2 (At3g03450), AtRGL3 (At5g17490), SLR1 (Os03g0707600), AtSLY1 (At4g24210), and OsGID2 (Os02g0580300). Descriptions of the grapevine genes are listed in Supplementary Table S4.
Results
Grapevine GA signalling genesBioinformatic analyses were performed on the V. vinifera cDNA database (http://compbio.dfci.harvard.edu/tgi/; last accessed: 20 July 2012) and two independent genome sequence projects (Jaillon et al., 2007; Velasco et al., 2007), using sequence information of the characterized orthologues in rice and Arabidopsis from NCBI (http://www.ncbi.nlm.nih.gov/; last accessed: 23 December 2014). These databases revealed two putative homologues encoding GA receptor genes (VvGID1a and VvGID1b), two F-box proteins (VvSLY1a and VvSLY1b), and two putative DELLA genes (VvDELLA2 and VvDELLA3), in addition to the previously characterized VvGAI1 (Boss and Thomas, 2002), herein referred to as VvDELLA1 (Supplementary Table S4).
VvGID1 genes and proteins
A BLAST search showed VvGID1a and VvGID1b protein sequences with high sequence homology to Arabidopsis AtGID1 (Griffiths et al., 2006; Nakajima et al., 2006) and rice OsGID1 (Ueguchi-Tanaka et al., 2005). While each VvGID1 paralogue encodes a 344 amino acid protein, and has a single intron 38 nucleotides downstream of the start codon, there are differences in their genomic architecture. VvGID1a is located on chromosome 14, and its intron size is 900bp meaning it is encoded by a 1935bp sequence, while VvGID1b is located on chromosome 7, and is encoded by a 1817bp sequence containing a 782bp intron. The amino acid sequences of the two VvGID1 paralogues are 79.1% identical, and share sequence homology with AtGID1a-1c and OsGID1 in conserved GA-binding residues (Suppementary Figure S1A). Like most angiosperms, VvGID1a is clustered with the ‘GID1ac’ group, whereas VvGID1b is clustered with the ‘GID1b’ group (Voegele et al., 2011) on the phylogenetic tree (Fig. 1A). Similar to OsGID1 (Ueguchi-Tanaka et al., 2005) and AtGID1s (Nakajima et al., 2006), both VvGID1s have the conserved HGG and GxSxG motifs characteristic of hormone-sensitive lipases (HSLs), and also possess two (Ser-190 and Glu-288) of the three amino acids (Ser, Glu, His) that constitute the so-called catalytic triad of the HSL family. Most other functionally important residues previously described for GID1 (Ueguchi-Tanaka et al., 2005; Nakajima et al., 2006; Murase et al., 2008) are present in both paralogus. A difference should be noted in position 128, where Thr in VvGID1a is replaced by Tyr in VvGID1b (Supplementary Figure S1A).
VvDELLA genes and proteins
Similar to Arabidopsis RGA and rice SLR1, there are no introns in the genes encoding the 64.8kDa, 66.1kDa, and 58.6kDa proteins of VvDELLA1, VvDELLA2, and VvDELLA3, respectively. VvDELLA2 and VvDELLA3 share sequence similarity with the already characterized VvDELLA1 (Boss and Thomas, 2002), and the orthologues in Arabidopsis (RGA, GAI, RGL1, RGL2, and RGL3) and rice (SLR1) (Fig. 1B; Supplementary Figure S1B). Whereas the deduced amino acid sequences of VvDELLA1 and VvDELLA2 were 66% identical, both paralogues were ~36% identical to VvDELLA3. All three VvDELLAs possess the distinct triad of motifs required for GID1–DELLA interactions (Murase et al., 2008): DeLLaΦLxYxV, MAxVAxxLExLExΦ, and TVhynPxxLxxWxxxM, albeit with sequence variations in specific residues (Supplementary Figure S1B). The third Leu in the DeLLaΦLxYxV motif of VvDELLA3 is substituted by another aliphatic hydrophobic amino acid, Ala, while Val-40 (representing Φ) in VvDELLA1 and 2 is replaced by Gly-32 in VvDELLA3. Glu-36 (VvDELLA1) and Glu-47 (VvDELLA2) in this motif is also replaced by hydrophobic amino acid Gly-28 in VvDELLA3. The first Met in the MAxVAxxLExLExΦ motif of VvDELLA1 and VvDELLA2 is substituted by Leu in VvDELLA3, while Met-75 and Met-56 in VvDELLA2 and VvDELLA3, respectively, are replaced by Ile-64 in VvDELLA1. Thr-79 and Thr-90 in the TVhynPxxLxxWxxxM motif of VvDELLA1 and VvDELLA2, respectively, are substituted by non-polar Val-70 in VvDELLA3, whereas Val-80 and Val-91 in the former are replaced by Leu-71 in the latter. Tyr-82 (VvDELLA1) and Tyr-93 (VvDELLA2) are substituted by Cys-73 in VvDELLA3.
VvSLY1 genes and proteinsVvSLY1a and VvSLY1b are both 184 amino acid proteins, encoded by intron-less genes, located on chromosomes 7 and 18, respectively. VvSLY1a is a 20.2kDa protein, while VvSLY1b is 20.9kDa. Amino acid similarity between the VvSLY1 proteins is 60%, and identity to Arabidopsis and rice orthologues is 44 and 25% for VvSLY1a, and 51 and 28% for VvSLY1b, respectively (Fig. 1C). VvSLY1s alignment with AtSLY1 (McGinnis et al., 2003) and OsGID2 (Sasaki et al., 2003) shows two variable domains (one at the N-terminus and the other close to the C-terminus), conserved N-terminus F-box domains (52–80% sequence identity with AtSLY1 and OsGID2), and GGF (54–86% identity with AtSLY1 and OsGID2) and LSL (35–73% identity with AtSLY1 and OsGID2) domains located at the C-terminus (Supplementary Figure S1C).
VvGID1s, VvDELLAs, and VvSLY1s are functional in transgenic Arabidopsis and in Y2H assays We tested the functions of these genes in Arabidopsis mutants. 35S:VvGID1a and 35S:VvGID1b were introduced separately into the Arabidopsis gid1a gid1c double mutant, which is a semi-dwarf with reduced fertility (decreased seed number per silique, and silique length) (Griffiths et al., 2006). Expression of either VvGID1a or VvGID1b completely rescued all phenotypes of gid1a gid1c (Fig. 2A, B; Supplementary Figure S2A, B). 35S:VvDELLA1, 35S:VvDELLA2, and 35S:VvDELLA3 were transformed into the Arabidopsis ga1-3 rga-24 mutant, which is a semi-dwarf (Dill and Sun, 2001). Expression of each VvDELLA reduced the plant height of ga1-3 rga-24 (Fig. 2C, D), indicating that all three VvDELLAs were functional to rescue the rga-24 defect. Similarly, 35S:VvSLY1a and 35S:VvSLY1b were introduced into the Arabidopsis sly1-10 mutant, which is a semi-dwarf with reduced fertility (McGinnis et al., 2003). Both VvSLY1a and VvSLY1b rescued the sly1-10 mutant defects (Fig. 2E, F; Supplementary Figure S2C, D).
To further characterize the biochemical properties of VvGID1s, VvDELLAs, and VvSLY1s, we performed Y2H assays. Previous studies have shown that interactions between GID1 and DELLA from rice and Arabidopsis are enhanced in yeast cells in the presence of bioactive GAs (Ueguchi-Tanaka et al., 2005; Griffiths et al., 2006). We found that VvGID1a displayed GA-dependent binding to each of the three VvDELLAs (Fig. 3A). VvGID1b also interacted with VvDELLA1 and VvDELLA2 in a GA-dependent manner. Interestingly, VvDELLA–VvGID1a interactions were stronger, and VvGID1b did not interact with VvDELLA3, even in the presence of GA3. We also tested SLY1-DELLA interaction using Y2H assays. Similarly to Arabidopsis SLY1 (Dill et al., 2004), both VvSLY1s interacted with all three VvDELLAs individually (Fig. 3B), although VvSLY1b showed stronger binding to VvDELLAs than VvSLY1a as indicated by the enhanced expression of the reporter genes (growth in higher 3-AT concentrations and higher β-gal activities). The results of the in planta functional assay and the Y2H assay indicate that these VvGID1s, VvDELLAs, and VvSLY1s function similarly to the Arabidopsis and rice orthologues in GA perception and signalling.
GA regulation of VvGID1 and VvSLY1 transcript levelsResults from several studies (Ueguchi-Tanaka et al., 2005; Griffiths et al., 2006; Voegele et al., 2011) point to GA-induced feedback inhibition of GID1 transcripts. To test whether similar regulation occurs in Vitis, we analysed the changes in expression of the VvGID1 genes in different organs subjected to GA3 and PAC treatment regimes (Fig. 4A, B). Based on our results, it appears that: (i) with the exception of VvGID1a in rachis (Fig. 4A), GA3 treatment downregulated both VvGID1 transcript levels, while PAC treatment enhanced their levels; (ii) the degree of change was lower in response to GA3 than in response to PAC, with the exception of VvGID1b levels in carpels and berries; (iii) generally, GA3 treatment resulted in greater downregulation in transcript levels of VvGID1b than VvGID1a. The most dramatic difference was in the rachis where GA3 treatment reduced VvGID1b mRNA levels by ~7-fold, but did not alter VvGID1a expression. (iv) Similarly, PAC treatment produced a greater increase of transcripts of VvGID1b than VvGID1a, resulting in a 3-, 10-, 1.5-, and 2-fold difference between both paralogues in internodes, rachis, carpels, and berries, respectively. Upregulation of VvGID1a and VvGID1b expression was maximal in the PAC-treated internodes (~3- and 6.5-fold, respectively).
VvSLY1 expression displayed a similar pattern to that of VvGID1s (Fig. 4C, D). GA3 treatment downregulated transcript levels of both VvSLY1 homologues, while PAC treatment increased their levels, compared to the respective control samples. Unlike VvGID1, the degree of regulation of expression of VvSLY1a and VvSLY1b was similar, and the effect of GA was more pronounced than that of PAC. There were only marginal differences when different organs were compared, and VvSLY1b seems to be unaffected by PAC treatment in carpels.
GA regulation of VvDELLA proteins We did not find any distinct expression pattern of transcripts of VvDELLAs in response to GA3 or PAC treatments (Supplementary Figure S3). To test the effect of GA on the stability of VvDELLA proteins, we analysed levels of VvDELLA1, VvDELLA2, and VvDELLA3 in GA3- and PAC-treated rachises, internodes, and berries using antibodies specific for VvDELLA1, VvDELLA2, and VvDELLA3, separately. The immunoblot analyses showed that the level of all three VvDELLA proteins decreased with GA3 application, while PAC treatment appeared to only slightly increase the VvDELLA protein levels in the rachis (Fig. 5A; Supplementary Figure 4S).
Spatial and temporal expression of GA signalling componentsHaving identified and functionally analysed the different paralogues of putative VvDELLA, VvGID1, and VvSLY1 genes, we reasoned that they may exhibit different spatial and/or temporal expression profiles, which may be related to their function and/or to the quantities of endogenous bioactive GA species in these organs. Indeed, qRT-PCR analyses of the GA signalling components in selected organs revealed differential expression patterns (Fig. 6). VvGID1a and VvGID1b were redundantly expressed in all organs analysed, and their transcript levels were highest in the roots (Fig. 6A). However, VvGID1a expression was in general lower than VvGID1b, ranging from 1.5-fold lower in young berries (0 d) to 37-fold lower in roots. Interestingly, mRNA levels of VvGID1s increased in mature tissues compared to young tissues, except in berries where both VvGID1 transcripts levels decreased 2-fold from fruit set to 10 DAF, followed by a 2- and 5-fold increase for VvGID1a and VvGID1b, respectively, from 10 to 30 DAF.
As shown in Fig. 6B, all three VvDELLAs were expressed in all tissues analysed, albeit at different quantities. Generally, VvDELLA2 had the highest expression while VvDELLA3 had the lowest expression in all organs, except berries in which VvDELLA1 was lowest. Similarly to VvGID1s, roots contained relatively high levels of all three VvDELLAs, with VvDELLA3 having the highest levels compared to all other organs. In rachis and tendrils, VvDELLA1 and VvDELLA2 mRNA levels increased in mature tissue. VvDELLA3 expression also increased in mature rachis but decreased in mature tendrils. Intermediate levels of all VvDELLAs were detected in internodes, without a clear age-dependent pattern. Interestingly, similar to both VvGID1s, VvDELLA3 expression decreased slightly from fruit set to 10 DAF followed by a 2-fold increase at 30 DAF. An inverse expression profile was observed for VvDELLA2 over the same period of berry development.
As observed for VvGID1s and VvDELLAs, the expression of VvSLY1a and VvSLY1b (Fig. 6C) was high in the roots. Apart from roots, VvSLY1a had the highest expression in mature rachis, and VvSLY1b in berries at 30 DAF. Both paralogues showed distinctly opposing expression patterns during tissue development: whereas one paralogue was upregulated during tissue development, the other was either downregulated or unchanged. VvSLY1a levels increased with development of internodes and rachis (3- and 1.5-fold, respectively, compared to young tissues), remained unchanged during leaf development, and decreased as tendrils and berries developed. VvSLY1b, on the other hand, was upregulated during development of leaves, tendrils, and berries, representing 3- and 6-fold increases in the first two tissues when they matured, and a 3-fold increase in 30-d-old berries, compared to 0 d. VvSLY1b expression remained unchanged during rachis aging, and was downregulated as internodes matured.
Temporal and spatial profiles of VvDELLA proteins We carried out immunoblot analyses to examine whether different VvDELLA proteins show unique temporal or spatial expression patterns. In agreement with their mRNA expression profiles, all three VvDELLA proteins were present in the tissues analysed (Fig. 5B). Correlation between temporal transcript and protein profiles was evident for all VvDELLAs in tendrils and at the transition from carpels to berries, and also for VvDELLA1 and VvDELLA3 in leaves (Figs 5B and 6B). The protein profiles in all organs except berries also indicate that: (i) levels of VvDELLA1 and VvDELLA2 were lowest in mature leaves, and highest in young rachis; (ii) levels of VvDELLA1 and VvDELLA2 increased with tendril development, and decreased with leaf and rachis age; (iii) VvDELLA2 levels decreased whereas VvDELLA1 was unaffected by internode age; (iv) levels of VvDELLA3 considerably decreased as all organs aged.
Significant observations in VvDELLA protein profiles during berry development are: (i) levels of VvDELLA3 decreased steadily; (ii) compared to other VvDELLAs, levels of VvDELLA2 were induced dramatically at the transition from carpels to berries; (iii) VvDELLA1 and VvDELLA2 were lowest at 10 days of fruitlet development.
Endogenous GA quantities in developing grapevine organsThe fact that GA application reduced the expression of VvGID1s (Figs 4A and B), and caused degradation of VvDELLA proteins (Fig. 5A) prompted us to explore the hypothesis that the developmental expression and protein profiles of these genes may be determined, at least in part, by the endogenous GA quantities in the organs. To this end, the content of the bioactive GAs, GA1 and GA4, and their precursors and deactivation products were quantified (Table 1).
Table 1.
Internode | Rachis | Leaves | Tendrils | Carpels | Berries | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
GA species | Young | Mature | Young | Mature | Young | Mature | Young | Mature | 0 d | 10 d | 30 d | |
GA53 | 2.6±0.3 | n.d. | n.d. | n.d. | n.d. | n.d. | n.d. | n.d. | 1.7±0.1 | 0.8±0.2 | n.d. | n.d. |
GA44 | n.d. | n.d. | 0.4±0.1 | n.d. | n.d. | n.d. | n.d. | n.d. | 1.1±0.0 | 0.8±0.1 | 0.1±0.0 | n.d. |
GA19 | 26.5±3.2 | 0.7±0.1 | 5.0±1.2 | n.d. | 24.7±0.5 | n.d. | 15.2±5.5 | 23.9±5.0 | 28.8±1.7 | 11.4±0.1 | 1.3±0.3 | 0.1±0.0 |
GA20 | n.d. | n.d. | n.d. | n.d. | 4.6±0.2 | n.d. | 0.7±0.1 | n.d. | 3.0±0.1 | 0.8±0.1 | n.d. | n.d. |
GA29 | n.d. | n.d. | 1.0±0.3 | n.d. | 4.3±0.4 | n.d. | n.q. | n.d. | 2.8±0.2 | 1.6±0.0 | 0.2±0.0 | 0.1±0.0 |
GA 1 | n.d. | n.d. | n.d. | n.d. | n.d. | n.d. | 2.9±1.2 | 0.9±0.2 | 2.8±0.2 | 0.7±0.2 | 0.4±0.1 | n.d. |
GA8 | 2.2±0.1 | n.d. | 1.4±0.5 | n.d. | 5.6±0.8 | 1.1±0.5 | n.q. | n.q. | 9.8±1.0 | 14.8±0.8 | 1.0±0.2 | 0.2±0.0 |
GA12 | 1.8±0.1 | n.d. | n.d. | n.d. | n.d. | n.d. | n.d. | n.d. | n.d. | n.d. | n.d. | n.d. |
GA24 | 5.4±0.3 | 0.4±0.1 | 0.1±0.0 | n.d. | 0.9±0.1 | n.q. | 0.1±0.0 | n.d. | n.q. | 2.0±0.3 | n.q. | n.d. |
GA 4 | 0.6±0.1 | 0.2±0.0 | 0.1±0.0 | n.d. | 2.0±0.5 | n.d. | 2.1±0.5 | n.d. | 1.0±0.2 | 0.4±0.1 | 0.8±0.1 | 0.2±0.1 |
GA34 | 0.8±0.1 | n.d. | n.q. | n.q. | 1.6±0.1 | 0.5±0.0 | 1.0±0.3 | 0.4±0.1 | 0.2±0.0 | 0.4±0.0 | 3.0±0.5 | 2.7±0.2 |
The 13-hydroxylation pathway, which leads to the biosynthesis of GA1 (Supplementary Figure S5), was characterized by the high levels of GA19 in all organs (Table 1). GA1 was present only in tendrils and carpels. Interestingly, GA1 levels reduced by 4-fold at fruit set, and further decreased as berries developed. GA8, the deactivation product of GA1, was detected in most organs, and showed a similar temporal profile as GA1. Notably, GA8 levels were elevated during carpel–berry transition, but markedly declined during berry development. The non-13-hydroxylation pathway that produces GA4 was characterized by relatively lower quantities of GA intermediates. GA12 was undetectable in all samples except young internodes. GA4 quantities in carpels decreased towards fruit set. It is important to note that from fruit set to 10 DAF, quantities of both GA4 and GA34 (the deactivation product of GA4) in berries increased. As berries developed, GA34 levels remained constant while GA4 levels decreased. In all but tendrils, carpels and 0 d berries, GA4 quantities were higher than GA1, whereas the opposite was true (except in tendrils and older berries) of GA34 and GA8. Generally, the levels of the different GA species either decreased or remained constant as tissues/organs developed.
Effect of GA3 and PAC application on organ development
Different grapevine organs exhibit markedly different responses to GA application (Weaver, 1958; Mullins et al., 1992; Agüero et al., 2000). To investigate whether such differential responses to GA3 application correlate with quantities of signalling components and/or endogenous GAs, we evaluated growth rates of internodes, rachis, and berries after GA3 and PAC treatments (Fig. 7). Our results show that all organs analysed displayed a GA-related growth response. However, different organs showed varying degrees of GA responses: rachis and berries responded more dramatically to GA3, while internodes had the greater response to PAC treatment. Compared to the control, PAC treatment resulted in marked (>40-fold) attenuation of internode elongation (Fig. 7A). About 40% of the PAC-treated shoot tips dropped, making it impossible to measure internode elongation on those shoots. GA treatment, on the other hand, resulted in an insignificant increase in internode growth (Fig. 7A). Both GA3 and PAC treatments resulted in ~2-fold change in rachis length (Fig. 7B), and in similar changes in berry weight (Fig. 7C). The GA3-treated berries obtained an elongated shape while PAC-treated and control berries presented a rounded shape. Furthermore, GA3 treatments partially or completely rescued the suppressive effect of PAC in all organs (PAC-GA treatments), confirming that the effect of PAC was GA associated.
Discussion
The GA signalling cascade has been extensively described in a number of plant species. However, apart from VvDELLA1 (VvGAI1), characterized by Boss and Thomas (2002), little was known about the GA signalling components in grapevine, even though worldwide commercial cultivation of seedless table grapes involves intensive GA treatment for horticulture practices. This study is the first in-depth functional characterization of the major GA signalling components of grapevines.
Structural and functional analyses of GA signalling genes
Functional studies in the Arabidopsis gid1a gid1c mutant (Fig. 2A, B; Supplementary Figure S2A, B) and Y2H analyses (Fig. 3A) indicate that both VvGID1s are active GA receptors. Because Thr-128 in GID1a is essential for the direct interaction with Φ of the DeLLaΦLxYxV motif (Murase et al., 2008), it is likely that substituting this residue with the aromatic residue Tyr-128 in VvGID1b could account for the lower binding affinity of VvGID1b compared to VvGID1a with VvDELLA1 and VvDELLA2, as well as the lack of interaction between VvGID1b and VvDELLA3 in our Y2H tests. Expression of AtGID1s is downregulated by GA (Griffiths et al., 2006). We observed a similar regulatory mechanism for both VvGID1s (Fig. 4A, B) in grapevine.
Since VvDELLA1 does not regulate berry enlargement (Boss and Thomas, 2002), we speculated that other DELLA family member(s) may modulate GA-related berry growth and responses. The two additional grapevine DELLA genes identified in this study, VvDELLA2 and VvDELLA3, were biologically functional in planta (Fig. 2C, D), and in Y2H analyses (Fig. 3). Nonetheless, sequence variations in functionally important residues such as Ala-33, Gly-32, Val-70, Leu-71, and Cys-83 of VvDELLA3, predicted to be required for the direct interactions of VvDELLA with VvGID1 and/or stabilization of the VvGID1-VvDELLA complex, may account for the absence of interaction between VvDELLA3 and VvGID1b. These residues are critical in the GA-dependent interactions between Arabidopsis DELLA proteins and GID1s (Murase et al., 2008). Similar to other model plants (Fu et al., 2002; Itoh et al., 2002; Griffiths et al., 2006), degradation of all three VvDELLA proteins in response to GA treatment (Fig. 5A) further confirms their function as GA signalling repressors.
VvDELLA2 mRNA and protein levels are highest in most tissues examined, suggesting that VvDELLA2 plays a major role in regulating GA responses at most developmental stages. VvDELLA1 transcript and protein levels were relatively abundant in most tissues (e.g. roots, tendrils, and internodes), except in berries, consistent with a previous study (Boss and Thomas, 2002). However, contrary to the above-mentioned report, which did not identify VvDELLA1 transcripts in berries, we detected low levels of VvDELLA1 transcripts in berries of Thompson seedless (Fig. 6B). These differences could be due to difference in sensitivity between the detection techniques (qRT-PCR in the current study compared to RNA blotting in the former), or the varietal differences (sternospermocarpic cultivars in the present study compared to seeded cultivars in the former). The expression profile of VvDELLA1 suggests that VvDELLA1 plays a major role in most tissues, but only has a minor role during berry development. VvDELLA3 is expressed at much lower levels than the other two DELLAs, suggesting that DELLA3 plays a minor role in most tissues. This idea should be further tested by functional analysis in planta using a transgenic approach.
To the best of our knowledge, all analysed plants possess only one GA-specific F-box protein in the SLY1/GID2 family (McGinnis et al., 2003; Sasaki et al., 2003). Thus, the presence of two biologically functional paralogues of GA-specific F-box proteins (Fig. 2E, F; and Fig. 3B) in grape vine is unique. These paralogues may have arisen from a duplication event, and their maintenance in the genome may be due to differential specificity of interaction with the various VvDELLA-VvGID1 complexes. Such a possibility is supported by the differences in DELLA–SLY interactions demonstrated in our Y2H analyses. Downregulation of VvSLY1 expression by GA application (Fig. 4C, D) is supported by the negative feedback regulation of Arabidopsis SLY1 by GA3 (Dill et al., 2004). Our results suggest that temporal expression profiles of the VvSLY1 genes in planta may be regulated by the endogenous bioactive GA quantities as well. Moreover, a correlation between the temporal expression pattern of each VvSLY1 homologue and endogenous GA levels may be indicative of the role each paralogue plays in GA-related organ development. We therefore suggest that VvSLY1a may be playing a central role in GA-regulated growth of internodes and rachis, while VvSLY1b may be important for leaf and tendril development, as well as carpel development, because its expression increased after fruit set as the bioactive GA1 levels in the organ decreased.
Correlation between levels of endogenous GAs and GA signalling componentsSimilar to Arabidopsis and other species (Dill et al., 2001; Itoh et al., 2002; Griffiths et al., 2006), we have shown that in grapevine application of GA3 downregulates VvGID1 transcripts and results in degradation of VvDELLA proteins (Fig. 4A, B; Fig. 5A). In light of the above, it was important to quantify endogenous GAs in grapevine organs, and determine how they correlate with levels of the signalling components in these organs. The results of our GA quantitative analysis, which show a general decrease in GA species during organ development (Table 1), is consistent with that of wine grapes (Boll et al., 2009), avocado (Raviv et al., 1987), and other species (Itoh et al., 1999; Kaneko et al., 2003). Interestingly, although GA19 levels are higher than its corresponding GA24 counterpart in the non-13-hydroxylated pathway, GA4 was higher than GA1 in most organs. This could be due to higher turnover of GA1, supported also by higher levels of GA8 than GA34 in these organs.
Higher quantities of GA4 in internode, rachis, leaves, and berries suggest that this molecule is the major bioactive GA promoting growth of these organs. In contrast and consistent with seeded wine grapes (Perez et al., 2000; Boll et al., 2009; Giacomelli et al., 2013), carpels contain relatively high levels of GA1 and most of its precursors, suggesting a unique role of GA1 in regulating flower development and fruit set. A unique ‘convex’ profile of GA4 in berries should be highlighted, where levels of GA4 are increasing in a certain period of berry development (0–10 DAF) rather than decreasing as is the case for other ageing tissues. This profile may reflect the transition between sources of production of GA4 at fruit set, and the unique development of the stenospermocarpic berry. We speculate that: (i) prior to anthesis, anthers probably serve as the main source of bioactive GAs (GA1 and low levels of GA4), and supply from this source decreases at bloom as stamens fall and fruit set commences; (ii) after fruit set, seeds serve as the main source of GA4 accumulation, as shown in other plants (MacMillan, 2001). GA4 increases as seeds develop, and in stenospermocarpic varieties, peaks just before abortion of endosperm (which occurs at about 14 DAF); (iii) After abortion, GA4 supply from the seed rudiments is decreased.
Endogenous bioactive GAs regulate temporal profiles of VvGID1 transcripts in a negative feedback fashion, while the GA regulation of temporal profiles of VvDELLA proteins appears to be organ-specific. The expected inverse correlation was observed in tendrils and berries for both VvDELLA1 and VvDELLA2. As bioactive GA quantities decrease during transition from carpel to fruitlet (fruit set), there is a parallel increase in VvDELLA2 accumulation. The subsequent increase in GA4 levels as fruitlets develop, prior to endosperm abortion, correlates with the decrease in VvDELLA1 and VvDELLA2 quantities during the same period. Reduction in GA4 quantities after abortion is mirrored by the corresponding significant accumulation of VvDELLA2, and a slight increase of VvDELLA1. This connection between developmental transitions throughout berry development, GA levels, and the VvDELLA protein quantities, may indicate the functional importance of these VvDELLA paralogues in the regulation of GA-mediated berry development.
In all other organs, however, the decrease in endogenous bioactive GA detected in older tissue, compared with a young tissue, was accompanied by decreased levels of VvDELLAs. These results are consistent with a previous study (Chandler et al., 2002) showing that bioactive GA levels in developing barley leaves correlate with DELLA protein levels. In these organs, it is possible that DELLA proteins may play a more important role in the rapidly growing tissues to regulate growth dynamically. As these organs mature and growth rate declines, DELLAs may not be required to regulate growth.
Organ responses to GA3 and PAC depend on both GA signalling components and endogenous GA levels
It can be assumed that a young developing organ with relatively high VvDELLA protein quantities will have a greater response to GA treatment. To test this idea, we compared VvDELLA levels to the response of growing organs to GA3 application. The sum of all three VvDELLA proteins was highest in young rachis, intermediate in young berries, and lowest in young internodes (Fig. 5B). Consistent with our hypothesis, and compared to their respective controls, GA3 application resulted in a 2-fold increase in rachis and berry size, while a similar treatment did not affect internode length (Fig. 7A). PAC treatments, on the other hand, resulted in a 40-fold reduction in internode length, while producing ~1.5-fold reduction in rachis length and berry weight.
High vegetative vigour in grapevines was associated with high endogenous GA levels (Lavee, 1986). Accordingly, it is expected that a minimal amount of GA is required to fulfil the growth potential of an organ under given conditions and allow maximal size enhancement. At such optimal levels of endogenous GA, high response to PAC treatment is expected, and a much subdued or zero response to GA application. Conversely, organs with levels of endogenous bioactive GA that are below this optimum will exhibit a high response to GA treatment, and show little or no response to PAC treatment, depending on the difference between the level of endogenous GA and that required for maximal growth. The data reported in the current study (Table 1; Fig. 7) supports the above scenario and suggest that different organs require different quantities of bioactive GA for maximal size enhancement. The 0.6ng g–1 FW of GA4 in young internodes was enough to elicit maximal growth in the internodes, as evidenced by the non-responsiveness of the internodes to GA3 application, and the huge response to PAC treatment. In contrast, in young berries, 0.4ng g–1 FW GA4 (berries at 0 d), and even 0.8ng g–1 FW (berries at 10 d), were insufficient to ensure development to maximal berry size. Hence, both GA3 and PAC treatments resulted in significant changes in berry size. Similar to our results, GA3-related berry enlargement of Thompson seedless has been widely reported (Harrell and Williams, 1987; Ben-Tal, 1990). In the case of young rachis, 0.1ng g–1 FW GA4 was only sufficient to produce limited growth, and GA3 application had a significant contribution. Effective GA-related rachis elongation is widely employed by viticulturists to reduce compactness within the cluster and prevent berry rot (Weaver and Pool, 1965; Dokoozlian and Peacock, 2001).
Supplementary material
Supplementary data can be found at JXB online.
Supplementary Table S1. Primers used for gene isolation and gene expression analyses by qRT-PCR.
Supplementary Table S2. Primers used for cloning genes to Y2H vectors.
Supplementary Table S3. Amount of deuterated GA species used as Internal Standard (IS) mix during extraction of endogenous GAs in different organs of grapes.
Supplementary Table S4. GA signalling genes of V. vinifera cv. Thompson seedless.
Supplementary Figure S1. Amino acid sequence alignment of major GA signalling genes.
Supplementary Figure S2. Grapevine GA signalling genes rescue silique length and fertility defects of corresponding Arabidopsis mutants.
Supplementary Figure S3. GA regulation of expression of VvDELLA1, VvDELLA2, and VvDELLA3.
Supplementary Figure S4. GA3-induced degradation of VvDELLA proteins in cv. Thompson seedless.
Supplementary Figure S5. Schematic representation of major GA metabolism pathways in plants.
Funding
This research was supported by the United States-Israel Binational Agricultural Research and Development Fund (BARD grant no. IS-4018-07 to EO, AL, and T-PS), and the USDA National Institute of Food and Agriculture (Research Initiative Competitive Grant no. 2010-65116-2046 and 2014-67013-21548 to T-PS).
Supplementary Material
References
- Acheampong AK, Rotman A, Zaheng C, Keren A, Halaly T, Crane O, Ogrodovitch A, Or E. 2010. A method for isolating total RNA from mature buds and other woody tissues of Vitis Vinifera. In: Delrot S, Or E, Babaresco L, Grando S, eds. Methodologies and results in grapevine research. The Netherlands: Springer, 301–307. [Google Scholar]
- Agüero C, Vigliocco A, Abdala G, Tizio R. 2000. Effect of gibberellic acid and uniconazol on embryo abortion in the stenospermocarpic grape cultivars Emperatriz and Perlon. Plant Growth Regulation 30, 9–16. [Google Scholar]
- Ben-Tal Y. 1990. Effects of gibberellin treatments on ripening and berry drop from Thompson Seedless grapes. American Journal of Enology and Viticulture 41, 142–146. [Google Scholar]
- Boll S, Lange T, Hofmann H, Schwappach P. 2009. Correspondence between gibberellin-sensitivity and pollen tube abundance in different seeded vine varieties. Mitteilungen Klosterneuburg 59, 129–133. [Google Scholar]
- Boss PK, Thomas MR. 2002. Association of dwarfism and floral induction with a grape ‘green revolution’ mutation. Nature 416, 847–850. [DOI] [PubMed] [Google Scholar]
- Chandler PM, Marion-Poll A, Ellis M, Gubler F. 2002. Mutants at the Slender1 Locus of Barley cv Himalaya. Molecular and physiological characterization. Plant Physiology 129, 181–190. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chundawat BS, Takahashi E, Nagasawa K. 1971. Effect of gibberellic acid, B-nine and keratin on fruit set, parthenocarpy and quality of kyoho grapes Journal of Japanese Society of Horticultural Sciences 40, 5–9. [Google Scholar]
- Conde C, Silva P, Fontes N, Dias ACP, Tavares RM, Sousa MJ, Agasse A, Delrot S, Geros H. 2007. Biochemical changes throughout grape berry development and fruit and wine quality. Food 1, 1–22. [Google Scholar]
- Coombe B. 1995. Adoption of a system for identifying grapevine growth stages. Australian Journal of Grape and Wine Research 1, 100–110. [Google Scholar]
- Coombe BG. 1960. Relationship of growth and development to changes in sugars, auxins, and gibberellins in fruit of seeded and seedless varieties of Vitis vinifera. Plant Physiology 35, 241–250. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dennis Jr FG, Nitsch JP. 1966. Identification of gibberellins A4 and A7 in ammature apple seeds. Nature 211, 781–782. [Google Scholar]
- Dereeper A, Guignon V, Blanc G, et al. 2008. Phylogeny.fr: robust phylogenetic analysis for the non-specialist. Nucleic Acids Research 36, 465–469. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dill A, Jung HS, Sun T. 2001. The DELLA motif is essential for gibberellin-induced degradation of RGA. Proceedings of the National Academy of Sciences, USA 98, 14162–14167. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dill A, Sun T-P. 2001. Synergistic derepression of gibberellin signaling by removing RGA and GAI function in Arabidopsis thaliana. Genetics 159, 777–785. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dill A, Thomas SG, Hu J, Steber CM, Sun T. 2004. The Arabidopsis F-box protein SLEEPY1 targets gibberellin signaling repressors for gibberellin-induced degradation. The Plant Cell 16, 1392–1405. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dokoozlian NK, Peacock WL. 2001. Gibberellic acid applied at bloom reduces fruit set and improves size of ‘Crimson Seedless’ table grapes. HortScience 36, 706–709. [Google Scholar]
- Fleet CM, Sun T. 2005. A DELLAcate balance: the role of gibberellin in plant morphogenesis. Current Opinion in Plant Biology 8, 77–85. [DOI] [PubMed] [Google Scholar]
- Fu X, Richards DE, Ait-ali T, Hynes LW, Ougham H, Peng J, Harberd NP. 2002. Gibberellin-mediated proteasome-dependent degradation of the barley DELLA protein SLN1 repressor. The Plant Cell 14, 3191–3201. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Giacomelli L, Rota-Stabelli O, Masuero D, Acheampong AK, Moretto M, Caputi L, Vrhovsek U, Moser C. 2013. Gibberellin metabolism in Vitis vinifera L. during bloom and fruit-set: functional characterization and evolution of grapevine gibberellin oxidases. Journal of Experimental Botany 64, 4403–4419. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Griffiths J, Murase K, Rieu I, et al. 2006. Genetic characterization and functional analysis of the GID1 gibberellin receptors in Arabidopsis. The Plant Cell 18, 3399–3414. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Harrell DC, Williams LE. 1987. The influence of girdling and gibberellic acid application at fruitset on Ruby Seedless and Thompson Seedless grapes. American Journal of Enology and Viticulture 38, 83–88. [Google Scholar]
- Hirano K, Ueguchi-Tanaka M, Matsuoka M. 2008. GID1-mediated gibberellin signaling in plants. Trends in Plant Science 13, 192–199. [DOI] [PubMed] [Google Scholar]
- Hu J, Mitchum MG, Barnaby N, et al. 2008. Potential sites of bioactive gibberellin production during reproductive growth in Arabidopsis. The Plant Cell 20, 320–336. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Itoh H, Tanaka-Ueguchi M, Kawaide H, Chen XB, Kamiya Y, Matsuoka M. 1999. The gene encoding tobacco gibberellin 3 β-hydroxylase is expressed at the site of GA action during stem elongation and flower organ development. The Plant Journal 20, 15–24. [DOI] [PubMed] [Google Scholar]
- Itoh H, Ueguchi-Tanaka M, Sato Y, Ashikari M, Matsuoka M. 2002. The gibberellin signaling pathway is regulated by the appearance and disappearance of SLENDER RICE1 in nuclei. The Plant Cell 14, 57–70. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Iwahori S, Weaver RJ, Pool RM. 1967. Gibberellin-like Activity in Berries of Seeded and Seedless Tokay Grapes. Plant Physiology 43, 333–337. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jaillon O, Aury JM, Noel B, et al. 2007. The grapevine genome sequence suggests ancestral hexaploidization in major angiosperm phyla. Nature 449, 463–467. [DOI] [PubMed] [Google Scholar]
- Kaneko M, Itoh H, Inukai Y, Sakamoto T, Ueguchi-Tanaka M, Ashikari M, Matsuoka M. 2003. Where do gibberellin biosynthesis and gibberellin signaling occur in rice plants? The Plant Journal 35, 104–115. [DOI] [PubMed] [Google Scholar]
- Karimi M, Inzé D, Depicker A. 2002. GATEWAY (TM) vectors for Agrobacterium-mediated plant transformation. Trends in Plant Science 7, 193–195. [DOI] [PubMed] [Google Scholar]
- Kaufman PB, Ghosheh NS, Nakosteen L, Pharis RP, Durley RC, Morf W. 1976. Analysis of native gibberellins in the internode, nodes, leaves, and inflorescence of developing Avena plants. Plant Physiology 58, 131–134. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kuderova A, Nanak E, Truksa M, Brzobohaty B. 1999. Use of rifampicin in T7 RNA polymerase-driven expression of a plant enzyme: rifampicin improves yield and assembly. Protein Expression and Purification 16, 405–409. [DOI] [PubMed] [Google Scholar]
- Lavee S. 1960. Effect of gibberellic acid on seeded grapes. Nature 185, 395.13852645 [Google Scholar]
- Lavee S. 1986. Usefullness of growth regulators for controlling vine growth and improving grape quality in intensive vineyards. Acta Horticulturae 206, 89–108. [Google Scholar]
- Lu G, Moriyama EN. 2004. Vector NTI, a balanced all-in-one sequence analyses suite. Briefings in Bioinformatics 5, 378–388. [DOI] [PubMed] [Google Scholar]
- MacMillan J. 2001. Occurrence of gibberellins in vascular plants, fungi, and bacteria. Journal of Plant Growth Regulation 20, 387–442. [DOI] [PubMed] [Google Scholar]
- McGinnis KM, Thomas SG, Soule JD, Strader LC, Zale JM, Sun T, Steber CM. 2003. The Arabidopsis SLEEPY1 gene encodes a putative F-box subunit of an SCF E3 ubiquitin ligase. The Plant Cell 15, 1120–1130. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mosesian RM, Nelson KE. 1968. Effect on’Thompson Seedless’ fruit of gibberellic acid bloom sprays and double girdling. American Journal of Enology and Viticulture 19, 37–46. [Google Scholar]
- Mullins MG, Bouquet A, Williams LE. 1992. Biology of the grapevine. Cambridge University Press. [Google Scholar]
- Murase K, Hirano Y, Sun T, Hakoshima T. 2008. Gibberellin-induced DELLA recognition by the gibberellin receptor GID1. Nature 456, 459–463. [DOI] [PubMed] [Google Scholar]
- Nakajima M, Shimada A, Takashi Y, et al. 2006. Identification and characterization of Arabidopsis gibberellin receptors. The Plant Journal 46, 880–889. [DOI] [PubMed] [Google Scholar]
- Nijjar GS, Bhatia GG. 1969. Effect of gibberellic acid and para-chlorophenoxyacetic acid on cropping and quality of Anab-e-Shahi grapes. Journal of Horticultural Sciences and Biotechnology 44, 91–95. [Google Scholar]
- Perez FJ, Viani C, Retamales J. 2000. Bioactive gibberellins in seeded and seedless grapes: identification and changes in content during berry development. American Journal of Enology and Viticulture 51, 315–318. [Google Scholar]
- Plackett AR, Powers SJ, Fernandez-Garcia N, et al. 2012. Analysis of the developmental roles of the Arabidopsis gibberellin 20-oxidases demonstrates that GA20ox1, -2, and -3 are the dominant paralogs. The Plant Cell 24 941–960. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Raviv M, Reuveni O, Goldschmidt EE. 1987. The physiological basis for loss of rootability with age in avocado seedlings. Tree Physiology 3, 115–122. [DOI] [PubMed] [Google Scholar]
- Reid KE, Olsson N, Schlosser J, Peng F, Lund ST. 2006. An optimized grapevine RNA isolation procedure and statistical determination of reference genes for real-time RT-PCR during berry development. BMC Plant Biology 6, 27–37. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sasaki A, Itoh H, Gomi K, et al. 2003. Accumulation of phosphorylated repressor for gibberellin signaling in an F-box mutant. Science 299, 1896–1898. [DOI] [PubMed] [Google Scholar]
- Silverstone AL, Ciampaglio CN, Sun T-P. 1998. The Arabidopsis RGA gene encodes a transcriptional regulator repressing the gibberellin signal transduction pathway. The Plant Cell 10, 155–169. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Srinivasan C, Mullins MG. 1981. Physiology of flowering in the grapevine - a review. American Journal of Enology and Viticulture 32, 47–63. [Google Scholar]
- Steber CM, Cooney SE, McCourt P. 1998. Isolation of the GA-response mutant sly1 as a suppressor of ABI1-1 in Arabidopsis thaliana. Genetics 149, 509–521. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sun T. 2011. The Molecular mechanism and evolution of the GA-GID1-DELLA signaling module in plants. Current Biology 21, R338–R345. [DOI] [PubMed] [Google Scholar]
- Thomas SG, Phillips AL, Hedden P. 1999. Molecular cloning and functional expression of gibberellin 2-oxidases, multifunctional enzymes involved in gibberellin deactivation. Proceedings of the National Academy of Sciences, USA 96, 4698–4703. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Thompson JD, Higgins DG, Gibson TJ. 1994. CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice. Nucleic Acids Research 22, 4673–4680. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ueguchi-Tanaka M, Ashikari M, Nakajima M, et al. 2005. GIBBERELLIN INSENSITIVE DWARF1 encodes a soluble receptor for gibberellin. Nature 437, 693–698. [DOI] [PubMed] [Google Scholar]
- Velasco R, Zharkikh A, Troggio M, et al. 2007. A high quality draft consensus sequence of the genome of a heterozygous grapevine variety. PLoS ONE 2, e1326. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Voegele A, Linkies A, Müller K, Leubner-Metzger G. 2011. Members of the gibberellin receptor gene family GID1 (GIBBERELLIN INSENSITIVE DWARF1) play distinct roles during Lepidium sativum and Arabidopsis thaliana seed germination. Journal of Experimental Botany 62, 5131–5147. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wang W, Vignani R, Scali M, Cresti M. 2006. A universal and rapid protocol for protein extraction from recalcitrant plant tissues for proteomic analysis. Electrophoresis 27, 2782–2786. [DOI] [PubMed] [Google Scholar]
- Weaver RJ. 1958. Effect of gibberellic acid on fruit set and berry enlargement in seedless grapes of Vitis vinifera . Nature 181, 851–852.13526698 [Google Scholar]
- Weaver RJ, Pool RM. 1965. Bloom spraying with gibberellin loosens clusters of Thompson Seedless grapes. California Agriculture 19, 14–15. [Google Scholar]
- Wolf EEH, Loubser JT. 1992. Gibberellic acid levels and quality effects of gibberellic acid in treated table grapes. The South African Journal for Enology and Viticulture 13, 57–63. [Google Scholar]
- Yamaguchi S. 2008. Gibberellin metabolism and its regulation. Annual Review of Plant Biology 59, 225–251. [DOI] [PubMed] [Google Scholar]
- Yamamoto Y, Hirai T, Yamamoto E, Kawamura M, Sato T, Kitano H, Matsuoka M, Ueguchi-Tanaka M. 2010. A rice gid1 suppressor mutant reveals that Gibberellin is not always required for interaction between its receptor, GID1, and DELLA proteins. The Plant Cell 22, 3589–3602. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.