Next Article in Journal
Beyond Genes: Re-Identifiability of Proteomic Data and Its Implications for Personalized Medicine
Previous Article in Journal
Previously Identified Genetic Variants in ADGRL3 Are not Associated with Risk for Equine Degenerative Myeloencephalopathy across Breeds
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Genome-Wide Identification and Expression Analysis of GA2ox, GA3ox, and GA20ox Are Related to Gibberellin Oxidase Genes in Grape (Vitis vinifera L.)

1
College of Horticulture, Gansu Agricultural University, Lanzhou 730070, China
2
College of Resource and Environmental Sciences, Gansu Agricultural University, Lanzhou 730070, China
*
Author to whom correspondence should be addressed.
Genes 2019, 10(9), 680; https://doi.org/10.3390/genes10090680
Submission received: 11 July 2019 / Revised: 24 August 2019 / Accepted: 2 September 2019 / Published: 5 September 2019

Abstract

:
Gibberellin (GAs) plays the important role in the regulation of grape developmental and growth processes. The bioinformatics analysis confirmed the differential expression of GA2, GA3, and GA20 gibberellin oxidase genes (VvGA2oxs, VvGA3oxs, and VvGA20oxs) in the grape genome, and laid a theoretical basis for exploring its role in grape. Based on the Arabidopsis GA2oxs, GA3oxs, and GA20oxs genes already reported, the VvGA2oxs, VvGA3oxs, and VvGA20oxs genes in the grape genome were identified using the BLAST software in the grape genome database. Bioinformatics analysis was performed using software such as DNAMAN v.5.0, Clustalx, MapGene2Chrom, MEME, GSDS v.2.0, ExPASy, DNAsp v.5.0, and MEGA v.7.0. Chip expression profiles were generated using grape Affymetrix GeneChip 16K and Grape eFP Browser gene chip data in PLEXdb. The expression of VvGA2oxs, VvGA3oxs, and VvGA20oxs gene families in stress was examined by qRT-PCR (Quantitative real-time-PCR). There are 24 GAoxs genes identified with the grape genome that can be classified into seven subgroups based on a phylogenetic tree, gene structures, and conserved Motifs in our research. The gene family has higher codon preference, while selectivity is negative selection of codon bias and selective stress was analyzed. The expression profiles indicated that the most of VvGAox genes were highly expressed under different time lengths of ABA (Abscisic Acid) treatment, NaCl, PEG and 5 °C. Tissue expression analysis showed that the expression levels of VvGA2oxs and VvGA20oxs in different tissues at different developmental stages of grapes were relatively higher than that of VvGA3oxs. Last but not least, qRT-PCR (Real-time fluorescent quantitative PCR) was used to determine the relative expression of the GAoxs gene family under the treatment of GA3 (gibberellin 3) and uniconazole, which can find that some VvGA2oxs was upregulated under GA3 treatment. Simultaneously, some VvGA3oxs and VvGA20oxs were upregulated under uniconazole treatment. In a nutshell, the GA2ox gene mainly functions to inactivate biologically active GAs, while GA20ox mainly degrades C20 gibberellins, and GA3ox is mainly composed of biologically active GAs. The comprehensive analysis of the three classes of VvGAoxs would provide a basis for understanding the evolution and function of the VvGAox gene family in a grape plant.

1. Introduction

Gibberellins (GAs) form a group of tetracyclic diterpenes, and some of them are biologically active. The GA biosynthetic pathway has been elucidated, and its key components have been identified [1]. It serves as hormones in higher plants by controlling diverse growth and developmental processes, such as shoot elongation, leaf expansion and shape, flowering, seed germination, and fruit development [1,2,3,4,5]. Numerous studies have certificated that dwarfism is generally associated with deficiencies in gibberellin (GA) levels or signaling [6,7,8,9,10,11]. GA levels are widely manipulated in agriculture to stimulate fruit growth in seedless grapes, delay fruit senescence in oranges and lemons, increase fruit setting in mandarins, apples and pears, increase stem elongation in sugarcane, or decrease growth in cotton, canola and apple [12]. Furthermore, GAs can prevent post-harvest leaf yellowing in cut flowers, such as lilies and Daffodil [13].
GA2ox, GA3ox, and GA20ox are three key enzymes in GA biosynthesis. These enzymes are members of the 2OG-Fe (II) oxygenase superfamily and independently encoded by different small gene families [13,14]. GA12 and GA53 can be used to synthesize active GA1 and GA4 [5,13], GA2-oxidase is a key enzyme in the degradation process of GAs, and can inactivate the biologically active GAs in plants, thus maintaining biologically active GAs and balancing between the intermediates [15]. However, GA3-oxidase and GA20-oxidase are key enzymes in the synthesis process of GAs, the loss-of-function in GA20 oxidase (GA20ox) and GA3 oxidase (GA3ox) can generate dwarf phenotypes [6,7,8,9,10,11]. Originally described in the runner bean (Phaseolus coccineus) [16], GA 2-oxidases have now been characterized in many plant species from different taxonomic groups and growth habits, including trees [17,18,19,20,21]. The universal occurrence of GA1 and GA4 in plants are functionally active or hormonal forms for growth promotion. GA1 and GA4 combined presence with their biosynthetic precursors and metabolites. Biochemical and molecular data have shown that GA20ox transcript levels are regulated by bioactive GAs through a negative feedback mechanism and in line with diverse environmental factors, indicated that they may control the content of active GAs [22]. Some results have shown that the regulation of GA 20-oxidase transcript levels by auxin is specific to biologically growth-promoting auxins in pea pericarp and the mRNA levels of GA 20-oxidase are differentially regulated by two naturally occurring pea auxins [23]. With overexpressed ClGA2ox1 or ClGA2ox3 exhibit dwarf phenotypes in Camellia lipoensis, including reduced growth, delayed flowering, as well as smaller, rounder, and darker green leaves [24]. GA2ox7 and GA2ox8 have been identified in Arabidopsis, and shown to be active against C20-GAs, such as GA12 and GA53, but are not capable of using C19-GAs as substrates [22]. Other studies have concluded that C19-GA 2-oxidation is an important GA inactivation pathway regulating the development in Arabidopsis [25].
GA metabolism and signaling pathway are closely controlled by diverse internal and external factors [26,27]. Research found that the biosynthesis of GAs is regulated by plant developmental and environmental stimuli, i.e., bioactive GAs are rapidly reduced when plants are exposed to biotic and abiotic stresses [28,29]. GA3-induced morphological alterations may be related to the control of hormone biosynthesis and signaling, the regulation of transcription factors, the alteration of secondary metabolites, and the stability of redox homeostasis in grape [30]. Seedlessness was induced by the application of GA3 to grape flowers during anthesis severely inhibits pollen germination and pollen tube growth [31,32], possibly because of the biosynthesis of pollen tube inhibitors leading to the generation of unfertilized ovules [33]. Some research has also explored the expression of a regulatory gibberellin oxidation gene under exogenous hormone stimulation and abiotic stress, indicating that gibberellin oxidation gene not only regulates development and growth but also responds to various abiotic stresses [34,35]. In rice, OsGA2ox5 over-expression was associated with improving resistance to high salinity [36], other findings suggest that GA20ox2 play an important role in NaCl controlled primary root and root hair growth through its mediation of IAA generation and transport in Arabidopsis [35]. GA biosynthesis inhibitors, such as daminozide (Alar), chlormequat chloride (Cycocel, CCC), paclobutrazol (Benzi), and uniconazole (S3307) are used as growth retardants in the potatoes [37,38]. For example, using uniconazole can change the expression of enzymes involved in hormone biosynthesis and starch metabolic pathways, such as, the significantly increased Abscisic Acid (ABA) and decreased GA modulate the expression of some enzymes involved in starch metabolism, and these enzymes finally resulted in starch accumulation.
Grapevine (Vitis vinifera L.) is part of the broadest cultivated and economically significant crops all over the world. The exogenous pre-bloom application of gibberellin 3 (GA3) to grapevine, which is an economically important crop that has long been an important component of the human diet, and is commonly used to induce seedlessness [31,32], establish early ripening [39], and enhance berry size in seedless cultivars [40,41,42]. With the recent report that grape genetic basis for bunch and berry traits could be linked with gibberellin activity related VvGAI1 gene, which could have a pleiotropic effect and be involved in their genetic regulation, since it is a negative regulator of GAs response [43]. Single nucleotide polymorphisms (SNPs) in the grape genome have been extensively studied, and these findings have led to a better understanding of the genetic diversity of cultivated grapevine [44,45,46]. Although gibberellin oxidase gene has been widely explored [16,30,47,48], a tiny part of GA2ox, GA3ox, and GA20ox gene in grape have been investigated [5,49]. Considering the roles of GA2ox, GA3ox, and GA20ox in response to GA3 during grapevine growth and development, we sought to identify GA2ox, GA3ox, and GA20ox family in grape. In this study, gibberellin oxidase genes were identified and analyzed by bioinformatics method. Using grape abiotic stress and tissue expression data in the GEO (Gene Expression Omnibus) database and screening of the highest expression gene by qRT-PCR (Quantitative real-time-PCR), to explore the function of three gibberellin oxidase genes in the synthesis and degradation of gibberellin, the expression of different tissues in different growth and development stages of grapes, and their response to abiotic stress. This provides a new theoretical basis for grape breeding.

2. Materials and Methods

2.1. Plant Materials and Treatments

‘Pinot Noir’ tube seedling was used as material for qRT-PCR. The single shoot stem of the seedlings was attached to a solid GS (modified B5 solid medium) and cultured under Light Emitting Diode (LED) white light (light for 16 h and dark for 8 h) in the incubator for 35 days. Subsequently, the seedings were treated by 5, 10, 15, and 20 mg·L−1 gibberellin (GA3) and 10 mg·L−1 GA3 inhibitor (Uniconazole) for 24 h after cultured for 35 days, and the distilled water was used as a control. All of the materials were collected from grape leaves and frozen in liquid nitrogen and stored at −80 °C for RNA extraction and gene expression analysis.

2.2. Identification of Grape Gibberellin Oxidase Genes GA2ox, GA3ox, and GA20ox

All of the sequences were downloaded from four databases: TAIR (Arabidopsis Information Resource) [37], GDR (Apple Information Resource) [50], Rice Genome Annotation Project Database, and Grape Genome Database. Then, a gene of GA oxidase family in Arabidopsis was selected as a seed to blast the three databases. SMART [51] and previous genome annotations are employed to confirm the sequence accuracy and remove genes without the 2OG-Fe (II) oxygenase domain. All of the 24 GA oxidase genes are shown in Table 1, and the information about Arabidopsis, rice, apple, and grape is listed in Table S1.
The genomic sequences were determined from grape genomes (http://www.genoscope.cns.fr/externe/GenomeBrowser/Vitis/). The gene characteristics, such as PI (Isoelectric Point), MW (molecular weight), GRAVY (grand average of hydropathicity), I.I (instability index), and A.I (aliphatic index), were obtained from EXPASY [52]. The map of the chromosome location with genes was constructed through the online software MapGene2Chrom web v2.
The gene structures (Exon and intron) were analyzed with GSDS v.2.0. The conserved domain of the protein was examined using the MEME online software. In addition, the maximum number of motifs in the conserved domain was placed at 10.

2.3. Phylogenetic Analysis of Systems

The accession numbers of GA2ox, GA3ox, and GA20ox of Arabidopsis thaliana, rice, apple, and grape were aligned using ClustalX v.2.0 (Conway Institute, University College Dublin, Dublin, UK) [50]. A phylogenetic tree was constructed via Molecular Evolutionary Genetics Analysis MEGA 7.0 (Pennsylvania State University, State College, PA, USA) [53] by using the neighbor-joining (NJ) method and adopts the following parameters: the mode adopted “Poisson model,” the gap was set to “Complete deletion,” and the check parameter was bootstrap = 1000 times, random seed.

2.4. Codon Usage Bias Analysis and Selective Pressure Analysis

Codon bias refers to the unequal use of synonymous codons for an amino acid [54,55,56,57]. Coding sequences of VvGA2ox, VvGA3ox, and VvGA20ox genes were used to calculate the frequency of optimal codons (FOP), GC content, GC content at the third site of the synonymous codon (GC3s content), relative synonymous codon usage (RSCU), codon adaptation index (CAI), and codon bias index (CBI) with the online software CodonW v.1.4 (http://codonw.sourceforge.net) [58].Correlation analysis between codon composition and preference parameters (A3s, T3s, G3s, C3s, CAI, CBI, FOP, NC, GC3s, GC, L-xym, L-aa, Gravy, and Aromo) was carried out using SPSS v.19.0 (Chicago, IL, USA) statistical software.
The non-synonymous/synonymous (Ka/Ks; ω) value of duplicate gene pairs or triplicate gene groups (between any two genes in one triplicate gene groups) were calculated using DNAsp v.5.0 (University of Barcelona, Barcelona, Spain).

2.5. Analysis of the Cis-Acting Element, Subcellular Localization, and Secondary Structure

The promoter sequences of GA2ox, GA3ox, and GA20ox in grape were downloaded from the grape genome database (2000 bp), and the gene promoter elements were predicted and analyzed using the PlantCARE online site [59,60]. The subcellular localization of GA oxidases was analyzed by WoLF PSORT (https://wolfpsort.hgc.jp/). The secondary structure was identified through NPS@:SOPMA secondary structure prediction.

2.6. Acquisition and Analysis of Chip Expression Data in Grape

Expression data were retrieved from microarray platforms (Affymetrix GeneChip 16K Vitis vinifera Genome Array, Affymetrix® Inc., Santa Clara, CA, USA) [61], and the selected data were about ‘Cabernet Sauvignon’ grape under different exogenous ABA treatment conditions (accession numbers: GSE31662 and GSE31664). Abiotic stress data (accession number: GSE31594) were downloaded from the GEO database, and the expression data of GA2ox-, GA3ox-, and GA20ox-related genes were extracted from grapes. Heat maps were drawn using R language. Besides, tissue expression data was obtained from Platforms (GPL13936 NimbleGen 090918 Vitus vinifera exp HX12 [090918_Vitus_exp]) (accession numbers: GSE36128) [62], and the selected data were come from the Grape organs at different stages and the heat map was drawn using TBtools.

2.7. RNA Extraction, qRT-PCR and Statistical Analysis

RNA was extracted using a Spectrum Plant Total RNA kit (Sigma St. Louis, MO, USA). Using the extracted total RNA of grape leaves as a template, the reverse strand of complementary DNA (cDNA) was synthesized using the Reverse Transcriptase M-MLV (RNase H-) kit (TaKaRa Biotechnology. Lanzhou, China), and 0.5–2 μg of purified total RNA was reverse transcribed into the first strand cDNA that was used to qRT-PCR. Subsequently, qRT-PCR instrument (Light Cycler 96 Real-Time PCR System, Roche, Basel, Switzerland) was used for the test, and qRT-PCR was performed using TaKaRa SYBR Premix Ex Taq™ II (TaKaRa Biotechnology. Lanzhou, China). Cycling parameters were 95 °C for 30 s, 40 cycles of 95 °C for 5 s, and 60 °C for 30 s. For melting curve analysis, a program including 95 °C for 15 s, followed by a constant increase from 60 °C to 95 °C, was included following the PCR cycles. GAPDH gene (GenBank accession no. CB973647) was used as the internal reference gene, and the primer sequence was shown in Table S2. The relative expression of the gene was calculated using 2−ΔΔCT method [63]. Samples, which served as cDNA stocks for PCR analysis were stored at −80 °C.
Data quantified from the qRT-PCR of three biological replicates were subjected to two-way ANOVA analysis, followed by Bonferroni’s post-test for data comparison. A p-value of less than 0.01 was deemed to represent a significant difference and significant difference analysis using Duncan method.

3. Results

3.1. Identification of GA2ox, GA3ox, and GA20ox Genes in Grape

A total of 24 candidate genes were obtained in the Grape Genome (12X), which contain 11 GA2ox, 6 GA3ox, and 7 GA20ox, respectively. VvGA2ox1VvGA2ox11, VvGA3ox1VvGA3ox6, and VvGA20ox1VvGA20ox7 were appointed on the basis of the order of their gene identification number (ID) (Table 1, Figure S1). All these genes were widely distributed on 13 chromosomes. The largest distribution was located on the 3rd chromosome, and only one gene distributed on the 1st, 2nd, 5th, 7th, 12th, and 16th chromosomes, respectively. It distributes in three genes for the 4th and 19th chromosomes, respectively. Two gene distributions were detected on the 15th and 18th chromosomes, respectively. The CDS coding sequences of GA2ox, GA3ox, and GA20ox in grape ranged from 825 bp (VvGA3ox1) to 2037 bp (VvGA3ox4), amino acid sequence lengths ranged from 275–678. The molecular weight of these three types of gibberellin oxidase with large differences that between 31.27–75.98 kD. The largest difference in molecular weight is the GA3ox class with a difference of 44.71 kD. The molecular weight difference of the GA20ox class is 13.58 kD, and the smallest difference in molecular weight of GA2ox class with a difference of 12.48 kD. Three types of gibberellin oxidase proteins had hydrophilic values ranging from −0.05 to −0.54 and all of them were hydrophilic proteins. Predicted values of the isoelectric points of these three types were among 5.14–8.22, with only one basic protein (GA2ox2), one neutral (GA2ox8), and the remaining proteins were acidic. Furthermore, 72.73% (8) and 66.67% (4) of GA2ox and GA3ox proteins had an instability index of >40, respectively. However, 42.86% (3) of the GA20ox proteins had an instability index of >40, indicating that GA2ox and GA3ox oxidases were more stable than GA20ox oxidase.

3.2. Structural Analysis of GA2ox, GA3ox, and GA20ox Genes

The phylogenetic tree was built using GA2ox, GA3ox, and GA20ox protein sequences in grape, and gene structure analysis was performed (Figure 1). The amino acid sequence comparisons revealed that grape GAoxs had a conserved Fe2+ 2-oxoglutarate-dependent dioxygenase (2-ODD) domain in each ODD (Supplementary Figure S2). The number of exons of the 24 gibberellin oxidase genes, including VvGA3ox2 and VvGA3ox3, was between 2 and 6. VvGA3ox5 and VvGA3ox6 had only 2 exons, and VvGA3ox4 had 6 exons. The closer the genetic relationship was, the more similar the genetic structure between them would be, such as those between VvGA20ox2 and VvGA20ox6 and between VvGA2ox9 and VvGA2ox10, which contained the same number of exons, and have the same structure of genes. Three types of gibberellin oxidase genes were mostly within 3 kb, and the individual genes VvGA2ox3 and VvGA3ox4 reached about 6 kb, which might be related to their special features.
The phylogenetic tree was constructed using the GA2ox, GA3ox, and GA20ox proteins of Arabidopsis thaliana (At), Oryza sativa (Os), Malus domestica (Md), and Vitis vinifera (Vv) (Figure 2). In line with the evolutionary relationship and according to the Huang et al., 2015 research [50], they were divided into seven subgroups, namely GAox-A, GAox-B, GAox-C, GA20ox, GA3ox, C19 GA2ox and C20 GA2ox subgroups. The evolutionary relationship showed that the distribution of GA2ox, GA3ox, and GA20ox in each species was similar and evenly distributed in the seven subfamilies. We can classify VvGA2ox3, 4, 5 to C20 GA2ox subgroup, according to C20 GA2ox subfamily members of Arabidopsis that containing AtGA2ox7, 8 and OsaGA2ox5. VvGA3ox2, 3 and 6 can be classified in the GA3ox subfamily. VvGA2ox1, 2, 7, can be classified in the C19 GA2ox subfamily. And VvGA20ox1, 2, 4, 5 and 6 were classified in the GA20ox subfamily. In addition, VvGA20ox7, VvGA2ox9 and VvGA2ox10 can be classified to GAox-A. VvGA3ox1, VvGA2ox8 and VvGA2ox11 can be classified to GAox-B. VvGA20ox3, VvGA3ox5, VvGA3ox4 and VvGA2ox6 can be classified to GAox-C. Overall, the number of GA20ox and GA2ox was greater than that of GA3ox, indicating that GA20ox and GA2ox also experienced a dynamic evolutionary route and leading to functional redundancy.
The conservative motif analysis of different subgroups of protein sequences was performed using MEME to obtain 10 conserved motifs (Figure 3) and named motif 1 to motif 10 (Table S3). Motifs 1, 2, and 4 were conserved sequences shared by all of the genes (Figure S3). Among them, motif 3 is unique to GA2ox and GA3ox. motifs 5, 6, and 8 are unique to GA2ox and GA20ox. motifs 7 and 9 are in GA2ox and GA3ox. motif 10 was only present in GA2ox9, 10, and GA20ox7. Six pairs of genes with homology greater than 90 were VvGA20ox2/VvGA20ox6, VvGA2ox3/VvGA2ox5, VvGA2ox9/VvGA2ox10, VvGA3ox2/VvGA3ox3, VvGA2ox8/VvGA2ox11, and VvGA2ox1/VvGA2ox2. The conserved sequence and protein lengths of each pair of proteins were basic and identical.
We identified ten triplicated gene groups in the grape VvGA2ox, VvGA3ox, and VvGA20ox gene family, such as the VvGA3ox2VvGA3ox3VvGA3ox6 group. In addition, VvGA3ox2, VvGA3ox3 and VvGA3ox6 were collinear, showing that the triplication may derive from chromosome segmental triplication or a large-scale triplication event. All the triplicated gene groups in the grape VvGA2ox, VvGA3ox, and VvGA20ox family underwent purifying selection (Table S4). Based upon our chromosomal location, gene structure and motif analysis, we found that the genes may be functionally conserved within a triplicated gene group such as the VvGA3ox2VvGA3ox3VvGA3ox6, VvGA2ox3VvGA2ox5VvGA2ox4 and VvGA20ox4VvGA20ox5VvGA20ox1 groups. The motifs of one VvGA2ox, VvGA3ox, and VvGA20ox family member are also similar to the other members in the triplicated same gene group (Figure 1, Figure 2 and Figure 3).

3.3. Codon Usage Bias Analysis

Analysis of codon usage parameters of VvGA2ox, VvGA3ox, and VvGA20ox gene families was listed in Table S5. Among these parameters, CAI, CBI, and NC are usually predicting gene expression levels. Generally, CAI and CBI are positively correlated, with values ranging from 0 to 1 and the closer a value is to 1; the stronger the codon preference, the higher the gene expression level, and the negative correlation to the number of effect codons (NC). NC value is generally from 20 to 61. 20 indicates that the synonymous codon bias is larger, and the closer to 61, the smaller the synonym codon bias. Highly expressed genes have a large degree of codon preference, with large CAI and CBI values and small NC values, low expression genes contain more types of rare codons, so the preference is low, CAI and CBI values are smaller and NC values are higher. Its value will be influenced by the amino acid composition of the gene and the length of the gene. From the data point of view, NC values of the VvGA2ox, VvGA3ox, and VvGA20ox gene families ranged from 45.88–57.27, and the expression level was average. We can find that the CAI and CBI values of VvGA2ox7 are quite high, while the NC values are relatively low, and suspected the expression level is relatively high. It is generally accepted that the two factors of GC amount and GC3s have an important influence on the codon usage of the gene. In these three gibberellin oxidase gene sequences, the amount of 21 gibberellin oxidase gene GC was less than 0.5, indicated that the grape gibberellin oxidase gene had no discernible preference for GC. The GC3s value was greater than 0.5, accounting for 41.7%, indicated that most of the grape gibberellin oxidase genes prefer codons ending in A/T.
A correlation analysis was conducted to further understand the influences of codon bias on gene properties (Table S6). On the basis of the correlation analysis, we can find that FOP and CBI, CAI is an extremely significant correlation, simultaneously, the content of GC and GC3s is a significant correlation, through these consequences, we can infer the gibberellin oxidase gene is mainly derived from the stress of mutation. Gravy values were negative and they were significantly negatively correlated with GC3s (p < 0.01), so gibberellin oxidase proteins were all hydrophobic proteins. The GC (G + C content) in the grape was significantly positively correlated with G3s (the frequency of occurrence of the corresponding base in the third position of the synonymous codon) and GC3s (the G + C content in the third position of the codon) (p < 0.01), which is significantly negatively correlated with T3s and A3s (p < 0.01), FOP (optimal codon usage frequency) and CBI (codon preference index), CAI (codon adaptation).
The indices were all significantly positively correlated (p < 0.01). GC and GC3s were significantly negatively correlated with T3s and A3s (p < 0.01), and GC, GC3s and NC (codon effective numbers) were substantially negative. Correlation (p < 0.05) indicates that base composition has an important influence on codon preference and gene expression level. The level of gene expression and codon usage preference is affected by the synonym codon the effect of the base in the third position. The more codon-preferred (lower NC values) genes, the more preferred they are to use optimal codons (higher FOP values) and higher G + C content, especially at G/C (larger GC3s).
RSCU is the relationship between the actual number of codons corresponding to an amino acid and the number of theoretical applications. It can intuitively reflect the degree of preference of codon usage, regardless of gene length and amino acid abundance. When the actual number of applications is the same as the number of theoretical applications, RSCU = 1, there is no preference for codons; when RSCU > 1, it indicates that the codon appears more frequently than other synonymous codons. Preferred codons; when RSCU < 1, the relative frequency of codons is low, which is a codon that is less frequently used by genes. By comparison (Table S7), in VvGA2ox, there are 23 the codon of RSCU > 1, 20 VvGA3ox, RSCU > 1, 21 VvGA20ox, RSCU > 1, Among them, the RSCU values of 17 codons in the grape GA2ox, GA3ox, and GA20ox were all greater than 1, indicating that these codons are preferred codons for the gene family. These codons are the most commonly used codons for the gibberellin oxidase gene, the optimal codon.

3.4. Subcellular Localization and Secondary Structure Analysis

The results of subcellular localization (Table S8) showed that the gibberellin oxidase gene family was mainly expressed in the chloroplast, the cytoplasm, and the nucleus; indicating that the gene family mainly existed in organs with strong photosynthesis and respiratory metabolism. Among them, VvGA2ox1, 4, VvGA20ox1, and 5 were not noted in the cytoplasm. VvGA2ox3, 9, VvGA20ox3, and 7 were not expressed in the chloroplasts, and the remaining genes were written in the cytoplasm. VvGA2ox5 and 7 were not expressed in the nucleus, but the other genes were written in the nucleus. Only four genes VvGA3ox2, 4, VvGA20ox5, 6 expressing in the mitochondria, and other genes were not noted. Only three genes, namely, VvGA2ox10, VvGA3ox4, and VvGA20ox5, were associated with the peroxisome. VvGA20ox1 and 2 were written in vacuoles. VvGA2ox1 and 2 were expressed in the Golgi. VvGA2ox10, 11, VvGA3ox1, 5, VvGA20ox2, 3, 4, and 6 were noted in the cytoskeleton, and these genes might be associated with cell wall formation.
The secondary structure of the grape gibberellin oxidase gene family encodes proteins mainly consisting of α-helix, β-turn, and irregular curl. Secondary structure analysis indicated that the 24 proteins encoded by the Gibberellin oxidase gene family were mainly α-helix and irregular coils (Table S9).

3.5. Gene Chip Expression Profile Analysis

These three kinds of genes were removed by downloading the gene expression data of ABA and abiotic stress from the GEO database to predict the expression of gibberellin oxidase gene in response to ABA and abiotic stress. The data corresponding to the grapes were tested by heat map (Figure 4 and Figure 5). The expression of gibberellin oxidase gene in response to different periods of ABA stress significantly differed (Figure 4). With the prolongation of stress time, the genes with continuously upregulated expression levels were VvGA2ox9, 10, and VvGA20ox7. VvGA2ox1, 8, 9, 10, and 11 were continuously upregulated under ABA stress for 3, 10, and 14 d. Only the expression levels of VvGA2ox9, 10, and VvGA20ox7 were upregulated under ABA stress for 28 d, indicating that ABA was closely related to VvGA2ox9, 10, and VvGA20ox7.
In response to different abiotic stresses, the expression of gibberellin oxidase gene was further significantly different (Figure 5). VvGA2ox2, 3, 5, 6, VvGA20ox2, 4, 6, 7, VvGA3ox1, 4, and 5 were upregulated in response to salt stress. The expression of VvGA2ox7, VvGA20ox2, and VvGA3ox4 was stable. VvGA20ox1 also maintained a low expression level. The expression levels of VvGA2ox2, 3, 4, 5, 6, 7, 9, 10, VvGA20ox2, 3, 5, 6, 7, VvGA3ox1, 4, and 5 were significantly upregulated under PEG stress for 24 h. The expression levels of VvGA2ox2, 3, 4, 5, VvGA20ox3, and VvGA3ox5 were upregulated. The expression levels of VvGA2ox1, 8, 11, VvGA20ox1, 6, 7, and VvGA3ox6 were downregulated under 24 h of PEG stress. The expression levels of VvGA2ox1, 4, 6, 8, 11, VvGA20ox1, 3, 5, VvGA3ox1, 4, and 6 were upregulated in response to low-temperature stress at 5 °C. The expression levels of VvGA2ox1, 8, 11, VvGA20ox1, and 3 under low-temperature stress at 5 °C for 8 h were upregulated. These findings suggested that these upregulated genes had a certain role in the cold resistance of grape.
Fourteen grape gibberellin oxidase genes were found in the Grape eFP Browser database, and the expression of these genes in different tissues of different growth stages of wine grapes was visualized using the TBtool (Figure 6). Overall, the expression levels of VvGA2ox in different tissues were significantly higher than those of VvGA3ox and VvGA20ox. From a local perspective, VvGA2ox1 was expressed in other tissues except for the low expression levels in roots and seeds. VvGA2ox2 is mainly in Stamen, BerryPericarp-FS, BerryPericarp-PFS, Bud-SPericarp-V, BerryPericarp-MR, BerryPericarp-R, Bud-S, Bud-B, Bud-L, BerryFlesh-PFS, BerryFlesh-V, BerryFlesh-MR, BerryFlesh-R, Inflorescence-Y, Inflorescence-WD, Flower-FB, Flower-F, Rachis-FS, Rachis-PFS, Rachis-V, Rachis-MR, Rachis-R, BerrySkin-PFS, BerrySkin-V, BerrySkin. The expression in -MR, BerrySkin-R, Steam-G, Tendril-Y, Tendril-WD is relatively high. VvGA2ox6 is mainly expressed in BerryPericarp-PFS, BerryPericarp-MR, Bud-S, Bud-AB, Bud-W, Inflorescence-Y, Root, Leaf-Y, Seeding, BerrySkin-MR, Steam-W. VvGA2ox7 is mainly in BerryFlesh-PHWI, BerryFlesh-PHWII, BerryFlesh-PHWIII, BerryPericarp-PHWI, BerryPericarp-PHWII, BerryPericarp-PHWIII, Seed-V, Seed-MR, Seed-FS, Seed-PFS, BerrySkin-PHWI, BerrySkin-PHWII The expression level in BerrySkin-PHWIII is relatively high. VvGA2ox9 is mainly expressed in Bud-W, VvGA2ox10 is mainly expressed in Root, and VvGA2ox11 is mainly expressed in BerryFlesh-PFS, Leaf-S, Seed-V, Seed-FS, Seed-PFS. VvGA3ox3 and VvGA3ox6 are mainly expressed in Pollen, and VvGA3ox2 is mainly expressed in Bud-B, Inflorescence-Y, Seed-FS, Seeding, Tendril-Y, Tendril-WD, Tendril-FS. VvGA3ox5 is mainly expressed in Bud-B and BerrySkin-MR. VvGA20ox4 is mainly expressed in Stamen, Flower-FB, Flower-F, Carpel, Petal, Pollen, Seed-PFS, VvGA20ox5 is highly expressed in Seed-FS, Seed-PFS, and VvGA20ox7 is different in wine grapes. The expression levels in different tissues during development are relatively high.

3.6. Gene Cis-Element Analysis of GA2ox, GA3ox, and GA20ox

PlantCARE was used to predict the upstream promoter elements of the gene and analyze the number of cis-acting elements related to hormones, meristems, adversity, and circadian rhythm to further explore the functions of GA2ox, GA3ox, and GA20ox (Figure 7), and the main cis-element selected in the Table S10. On the promoters of these three types of gibberellin oxidase, stress-related action elements were ubiquitous and relatively abundant. Hormone-related action elements, such as methyl jasmonate, gibberellin, and abscisic acid, were compared. In general, the amounts of auxin and salicylic acid were relatively small, and only six genes, namely, VvGA2ox2, VvGA20ox1, 4, 5, VvGA3ox1, and 6, were associated with meristematic tissues, and four genes, namely, VvGA2ox2, 6, VvGA3ox6, and VvGA20ox1, were related to circadian rhythm. Although all of the three genes are owned by the gibberellin oxidase gene, some of the gibberellin oxidase gene promoters contain gibberellin-related elements, such as VvGA2ox2, 3, 5, 9, VvGA3ox6, VvGA20ox1, and 7. On the promoters of GA20ox genes, only VvGA20ox1 and 7 did not contain gibberellin-related action elements, and others contained gibberellin-related action elements. Many genes contain abiotic stress elements, such as low temperature, drought, saline and other stress response components, while six genes do not get this cis-acting element. Specifically, the promoters of different genes contained the same species or even a number of similar or identical elements, and the similarity of their functions should need to be further verified.

3.7. Effects of GA3 and Uniconazole Influence the Expression of GA2ox, GA3ox, and GA20ox

‘Pinot Noir’ seedlings grown in Gansu Agricultural University, Lanzhou, China for 35 d were treated with 5, 10, 15, and 20 mg·L−1 GA3 and 10 mg·L−1 uniconazole. After 24 h of treatment, RNA was extracted separately, and the expression levels of GA2ox, GA3ox, and GA20ox were detected through qRT-PCR (Figure 8, Table S11).
Under different concentrations of gibberellin treatment, the expression levels of GA2ox were significantly upregulated, and the expression levels of GA3ox and GA20ox were downregulated. The expression levels of GA3ox and GA20ox were obviously upregulated when the samples were treated with 10 mg·L−1 uniconazole. After 5 mg·L−1 gibberellin 3 (GA3) treatment, the upregulated genes were VvGA2ox1, 3, 6, 7, 9, 10, 11, VvG3ox4, and VvGA20ox7. Among them, VvGA2ox7 was the highest, which relative expression was reached to 46.66 folds to compare with the control. Followed by the expression of VvGA2ox1 and 11, whose expression levels were 4.34 and 4.69 time that of the control, respectively. Under the treatments of the 10 mg·L−1 GA3, VvGA2ox5, 8, VvGA3ox1, VvGA20ox3, 5, and 6 were upregulated. The highest expression was observed in VvGA20ox5, which was 3.45 times more than control. Under the treatments of the 15 mg·L−1 GA3 was administered, the expression levels of VvGA2ox1, 11, VvGA3ox4, and 5 were upregulated. The gene with the highest expression was VvGA2ox11, which was 4.28 time of the control. After treatment with 20 mg·L−1 GA3 was administered, VvGA2ox1, 7, 11, VvGA3ox5, and VvGA20ox5 were 0.90, 1.78, 1.69, 1.13, and 1.79 time of the control, respectively. After treatment with 10 mg·L−1 the gibberellin inhibitor uniconazole was given, the upregulated genes were VvGA2ox3, 6, 10, VvGA3ox2, 4, 5, VvGA20ox1, 2, 3, 4, 6, and 7. Among them, VvGA20ox7 expression level was 2.58 times of the control.

4. Discussion

Gibberellins are associated with several aspects of growth and development, including seed maturation, stem elongation, floral induction, germination, pollen germination, and pollen tube growth [2,12,13,33,64]. Nevertheless, few studies have been conducted on GA2ox, GA3ox, and GA20ox in response to hormonal and abiotic stresses [34,38]. Therefore, we sought to study the characteristics of this gene family and the expression of gibberellin oxidase genes under gibberellin and uniconazole treatment was quantitatively analyzed in qRT-PCR to verify the mechanism of these genes in grape and analysis the expression of gene chip expression profile is related to ABA, abiotic stress and different tissues of grape.
In this study, we have identified and analyzed of GA2ox, GA3ox, and GA20ox gene. The effects of these three gibberellin oxidase genes on gibberellin synthesis has been explored and the role of the gene family in grapes has been examined. In this experiment, 24 gibberellin oxidase genes from the grape genome have been identified by bioinformatics analysis, but the number is different from other plants, such as 16 members in Arabidopsis thaliana [38], 21 members in rice [65,66], 24 members in soybean [37], and 18 members in cucumber [67]. The gibberellin oxidase family is large, which may be linked to genome size. VvGA2ox, VvGA3ox, and VvGA20ox were widely distributed on 13 chromosomes except chromosomes 6, 8, 11, 13, 14, and 17. All of them were allocated, and each chromosome had one to four genes possibly because GA was involved in various life activities of plants (seed germination, stem elongation, fruit development, etc.). Specific motifs in amino acid sequences are vital regions related to function. As subfamilies from 2OG-Fe (II) oxygenase superfamily, GA oxidases include the C-terminal of prolyl 4-hydroxylase α subunit, and the parts of the active site comprise an alpha2 beta2 complex with an α subunit [49,68,69]. The analysis of gene structure and conserved motifs revealed similar genetic structures with comparable genetic evolutionary relationships. The conservative motif analysis of grapes found that motif 3 was unique to GA2ox and GA3ox. Motif 6 and motif 8 were unique to GA2ox and GA20ox. Similar reports have also described the conserved motifs in Arabidopsis and cucumber species [37]. Similarly, different types of genes contained specific motifs possibly because of different types of gibberellin oxidases. The precise relationship should be further studied.
The evolutionary properties of the gibberellin oxidase gene family in Arabidopsis, rice, apple, and grape showed that functionally different GA2ox, GA3ox, and GA20ox clusters were distributed in separate subfamilies. OsGA20ox3, 5, 6, 7, OsGA2ox11, OsGA3ox1, 2, and 5 were found in rice [37,49]. MdGA20ox4, MdGA3ox1, MdGA2ox3, and MdGA2ox11 were found in apple [20]. AtGA2ox4, AtGA3ox1, 2, and 4 were found in Arabidopsis [37]. VvGA2ox6, 9, 10, VvGA3ox4, 5, VvGA20ox3, and 7 were detected in grape [5]. Combining the results of Han et al., and Huang et al., we divided the three gibberellin oxidase gene families into seven subfamilies: GAox-A, GAox-B, GAox-C, GA20ox, GA3ox, C19 GA2ox and C20 GA2ox subgroups [37,49]., and an evolutionary relationship likely exists between the gibberellin oxidase genes of rice, apple, Arabidopsis and grape [37,70,71]. The tandem repeat of the gene combined with the gene structure, evolutionary analysis, motif analysis found that the genes distributed in the same subfamily have the same structure and motif, and the gene duplication and triplication are identical in structure and motif.
The results of the promoter cis-acting element analysis showed that GA2ox, GA3ox, and GA20ox contained some cis-acting elements related to hormones, meristems, stress, and circadian rhythm regulation. These genes were also hit by GA regulation. Jasmonic acid, IAA, SA, ABA, and stress regulation are consistent with previous studies [72]. These three genes belonged to the gibberellin oxidase gene, but some genes, such as VvGA2ox2, 3, 5, 9, VvGA3ox6, VvGA20ox1, and 7, and other gene promoters do not contain gibberellin-related elements, possibly regulation of endogenous GA content changes by other factors on the GA signaling pathway to regulate GA levels in plants. In total, 24 genes had hormone-, meristem-, stress-, and circadian rhythm-related elements on the upstream promoter. The expression data of these three genes under ABA and abiotic stress were downloaded and analyzed by the GEO database. The results showed that these three genes could respond to different duration of ABA and various abiotic stress conditions [36]. Besides, the expression analysis of different tissues in different developmental stages of grape showed that GA2ox7 was mainly expressed in seeds and fruits in C19 GA2ox subfamily. The expression of GA2ox1, 2 was basically the same, mainly expressed in fruits, buds, stamens, flowers, core skin and other tissues. GA20ox7 was highly expressed in roots, stems, leaves, flowers, buds, fruits and other tissues in the GA20ox subfamily. Compared with GA2ox and GA20ox, GA3ox is mainly expressed in stems, buds, inflorescences and pollen. We combined the codon preference analysis, grape gene chip expression and fluorescence quantitative analysis found that the three analysis results have similarity, that is, the expression level of VvGA2ox7 is relatively high.
The genes of the gibberellin oxidase gene in grape were treated with different concentrations of GA and uniconazole by qRT-PCR to investigate the relationship between GA2ox, GA3ox, and GA20ox in grapes, GA, and uniconazole. The results showed that the expression of GA2ox was upregulated in these genes after GA3 treatment, because the GA2-oxidase is a key enzyme in the degradation process of GA, which can inactivate the biologically active GAs and their precursors and other intermediates in plants, thus maintaining biologically active GAs in plants and balance between intermediates [15]. A previous analysis indicated that feedback regulation controls the concentrations of active GAs in higher plants [13]. In most plants, GA20ox and GA3ox, whose products oxidize the penultimate and final steps, respectively, and the production of bioactive GAs (GA1 and GA4) are downregulated by applied exogenous GA [13]. In contrast, the genes encoding GA2ox, which convert active GAs to inactive catabolites, are upregulated by GA treatment [16]. Our findings are similar to previous studies, our results in accordance with others consequences that indicated the GA2ox gene mainly functions to inactivate biologically active GAs, while GA20ox mainly degrades C20 gibberellins, and GA3ox is mainly composed of biologically active GAs [5,13]. In a nutshell, our study provides new insights into the functional divergence of the GAox family in grape and implicates the potential roles of positive selection in the evolution of GAox genes, which deserves further investigation.

5. Conclusions

Twenty-four gibberellin oxidase genes, including GA2ox, GA3ox, and GA20ox, were found in grape, which can be subdivided into seven subfamilies. GA2ox, GA3ox, and GA20ox were associated with abiotic stress expression and response to the expression of various exogenous hormones, they have different expressions in different organizations. The GA2ox gene mainly functions to inactivate biologically active GAs, while GA20ox mainly degrades C20 gibberellins, and GA3ox is mainly composed of biologically active GAs. Our findings provided a basis for conducting in-depth mechanistic studies on the distinct biological characteristics and adaptability of the grape in harsh environments.

Supplementary Materials

The following are available online at https://www.mdpi.com/2073-4425/10/9/680/s1, Figure S1. A map of the distribution of genes on chromosomes of GA oxidases in grape. Figure S2. Alignment of GA oxidases in grape. Figure S3. Motif sequences of GA oxidase in grape. Table S1. GA oxidase genes in Arabidopsis, Rice, Apples and Grapes. Table S2. Primers used for qRT-PCR of GA2ox, GA3ox and GA20ox gene family in grape. Table S3. Motif sequences of GA oxidase in grape. Table S4. Selection pressure of each grape VvGA2ox, VvGA3ox, and VvGA20ox duplication gene pairs in triplicate gene-group. Table S5. Codon usage characteristics of three gibberellin oxidase gene families in grape. Table S6. Correlation coefficient between the parameters of codon usage of three gibberellin oxidase gene families in grape. Table S7. Frequency of use of three grape gibberellin oxidase gene synonymous codons. Table S8. Subcellular location prediction of VvGAoxs gene in Vitis vinifera. Table S9. The secondary structure of VvGAoxs protein sequence in Vitis vinifera. Table S10. Number of cis-acting elements in GA2ox, GA3ox and GA20ox promoter of grape. Table S11. qRT-PCR data analysis.

Author Contributions

H.H. and J.M. conceived and designed the research plans; S.L., G.L., P.W., T.L., X.S. and Z.M. articipated in most of the experiments and data collection; S.L., G.L. and Z.M. provided technical assistance to H.H.; H.H. wrote the manuscript with contributions from all the authors; B.C., C.Z. and J.M. revised the manuscript. All authors read, reviewed and approved the final manuscript.

Funding

This research was financially supported by the Discipline Construction Fund Project of Gansu Agricultural University (GSAU-XKJS-2018-226), and the Science and Technology Major Project of Gansu Province (18ZD2NA006).

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

GAGibberellic Acid
GAsGibberellin
GA2oxGA2-oxidases
GA3oxGA3-oxidases
GA20oxGA20-oxidases
VvGA2oxGA2-oxidases of Vitus vinifera
VvGA3oxGA3-oxidases of Vitus vinifera
VvGA20oxGA20-oxidases of Vitus vinifera
GAoxsGibberellin oxidases
Gene IDGene Identification Number
GEOGene Expression Omnibus
2-ODD2-oxoglutarate-dependent dioxygenases
JAsJasmonates
MeJAMethyl jasmonate
GSmodified B5 solid medium
ABAAbscisic Acid
GA3gibberellin 3
NJNeighbor-joining method
CDScoding sequence length
NCNumber of codons
FOPfrequency of optimal codons
CAIcodon adaptation index
CBIcodon bias index
RSCUrelative synonymous codon usage
KsSynonymous
KaNonsynonymous
MWMolecular Weight
PIIsoelectric Point
GRAVYgrand average of hydropathicity
I.Iinstability index
A.Ialiphatic index
qRT-PCRQuantitative real-time-PCR

References

  1. Peters, R.J. Gibberellin phytohormone metabolism. In Isoprenoid Synthesis in Plants and Microorganisms; Rohmer, M., Bach, T., Eds.; Springer: New York, NY, USA, 2013; pp. 233–249. [Google Scholar]
  2. Hedden, P.; Thomas, S.G. Gibberellin biosynthesis and its regulation. Biochem. J. 2002, 444, 11–25. [Google Scholar] [CrossRef]
  3. Sponsel, V.M.; Hedden, P. Gibberellin biosynthesis and inactivation. In Plant Hormones Biosynthesis, Signal Transduction, Action; Davies, P.J., Ed.; Kluwer Academic Publishers: Dordrecht, The Netherlands, 2004; pp. 63–94. [Google Scholar]
  4. Yamaguchi, S. Gibberellin metabolism and its regulation. J. Plant Growth Regul. 2001, 20, 317–318. [Google Scholar] [CrossRef]
  5. Giacomelli, L.; Rota-Stabelli, O.; Masuero, D.; Acheampong, A.K.; Moretto, M.; Caputi, L.; Vrhovsek, U.; Moser, C. Gibberellin metabolism in Vitis vinifera L. during bloom and fruit-set: Functional characterization and evolution of grapevine gibberellin oxidases. J. Exp. Bot. 2013, 64, 4403–4419. [Google Scholar] [CrossRef]
  6. Olszewski, N.; Sun, T.P.; Gubler, F. Supplement: Signal Transduction||Gibberellin signaling: Biosynthesis, catabolism, and response pathways. Plant Cell 2002, 14, 61–80. [Google Scholar] [CrossRef]
  7. Webster, A.D. Vigour mechanisms in dwarfing rootstocks for temperate fruit trees. Acta Horticulturae. 2004, 658, 29–41. [Google Scholar] [CrossRef]
  8. Zhou, P.; Ren, B.; Zhang, X.M.; Wang, Y.; Wei, C.H.; Li, Y. Stable ex-pression of rice dwarf virus Pns10 suppresses the post-transcriptional gene silencing in transgenic Nicotiana benthamiana plants. Acta Virol. 2010, 54, 99–104. [Google Scholar] [CrossRef]
  9. El-Sharkawy, I.; Kayal, W.; Prasath, D.; Fernandez, H.; Bouzayen, M.; Svircev, A.M.; Jayasankar, S. Identification and genetic characterization of a gibberellin 2-oxidase gene that controls tree stature and reproductive growth in plum. J. Exp. Bot. 2012, 63, 1225–1239. [Google Scholar] [CrossRef]
  10. Lee, D.H.; Lee, I.C.; Kim, K.J.; Kim, D.S.; Na, H.J.; Lee, I.J.; Sang-Mo Kang, S.M.; Jeon, H.W.; Le, P.L.; Ko, J.H. Expression of gibberellin 2-oxidase 4 from Arabidopsis under the Control of a Senescence-associated Promoter Results in a Dominant Semi-Dwarf Plant with Normal Flowering. J. Plant Biol. 2014, 57, 106–116. [Google Scholar] [CrossRef]
  11. Fukazawa, J.; Mori, M.; Watanabe, S.; Miyamoto, C.; Ito, T.; Takahashi, Y. DELLA-GAF1 Complex Is a Main Component in Gibberellin Feedback Regulation of GA20 Oxidase 2. Plant Physiol. 2017, 175, 1395–1406. [Google Scholar] [CrossRef] [Green Version]
  12. Hedden, P.; Phillips, A.L. Manipulation of hornmone biosynthetic genes in transgenic plants. Curr. Opin. Biotechnol. 2000, 11, 130–137. [Google Scholar] [CrossRef]
  13. Hedden, P.; Phillips, A.L. Gibberellin metabolism: New insights revealed by the genes. Trends Plant Sci. 2000, 5, 523–530. [Google Scholar] [CrossRef]
  14. Griggs, D.L.; Hedden, P.; Lazarus, C.M. Partial-purification of 2 gibberellin 2b-hydroxylases from cotyledons of Phaseolus vulgaris. Phytochemistry 1991, 30, 2507–2512. [Google Scholar] [CrossRef]
  15. Wuddineh, W.A.; Mazarei, M.; Zhang, J.Y.; Poovaiah, C.R.; Mann, D.G.J.; Ziebell, A.; Sykes, R.W.; Davis, M.F.; Udvardi, M.K.; Stewart, C.N.J. Identification and overexpression of gibberellin 2-oxidase (GA2ox) in switchgrass (Panicum virgatum L.) for improved plant architecture andreduced biomass recalcitrance. Plant Biotechnol. J. 2015, 13, 636–647. [Google Scholar] [CrossRef]
  16. Thomas, S.G.; Phillips, A.L.; Hedden, P. Molecular cloning and functional expression of gibberellin 2-oxidases, multifunctional enzymes involved in gibberellin deactivation. Proc. Nat. Acad. Sci. USA 1999, 96, 4698–4703. [Google Scholar] [CrossRef]
  17. Martin, D.N.; Proebsting, W.M.; Hedden, P. The SLENDER gene of pea encodes a gibberellin 2-oxidase. Plant Physiol. 1999, 121, 775–781. [Google Scholar] [CrossRef]
  18. Sakamoto, T.; Kamiya, N.; Ueguchi-Tanaka, M.; Iwahori, S.; Matsuoka, M. KNOX homeodomain protein directly suppresses the expression of a gibberellin biosynthetic gene in the tobacco shoot apical meristem. Genes Dev. 2001, 15, 581–590. [Google Scholar] [CrossRef] [Green Version]
  19. Busov, V.B.; Meilan, R.; Pearce, D.W.; Ma, C.; Rood, S.B.; Strauss, S.H. Activation tagging of a dominant gibberellin catabolism gene (GA 2- oxidase) from poplar that regulates tree stature. Plant Physiol. 2003, 132, 1283–1291. [Google Scholar] [CrossRef]
  20. Lee, D.J.; Zeevaart, J.A. Molecular cloning of GA 2-oxidase3 from spinach and its ectopic expression in Nicotiana sylvestris. Plant Physiol. 2005, 138, 243–254. [Google Scholar] [CrossRef]
  21. Dayan, J.; Schwarzkopf, M.; Avni, A.; Aloni, R. Enhancing plant growth and fiber production by silencing GA 2-oxidase. Plant Biotechnol. J. 2010, 8, 425–435. [Google Scholar] [CrossRef]
  22. Schomburg, F.M.; Bizzell, C.M.; Lee, D.J.; Zeevaart, J.A.D.; Amasino, R.M. Overexpression of a novel class of gibberellin 2-oxidases decreases gibberellin levels and creates dwarf plants. Plant Cell 2003, 15, 151–163. [Google Scholar] [CrossRef]
  23. Ngo, P.; Ozga, J.A.; Reinecke, D.M. Specificity of auxin regulation of gibberellin 20-oxidase gene expression in pea pericarp. Plant Mol. Biol. 2002, 49, 439–448. [Google Scholar] [CrossRef]
  24. Xiao, Z.; Fu, R.P.; Li, J.Y.; Fan, Z.Q.; Yin, H.F. Overexpression of the Gibberellin 2-Oxidase Gene from Camellia Lipoensis Induces Dwarfism and Smaller Flowers in Nicotiana tabacum. Plant Mol. Biol. Rep. 2016, 34, 182–191. [Google Scholar] [CrossRef]
  25. Rieu, I.; Eriksson, S.; Stephen, J.; Powers, S.J.; Gong, F.; Griffiths, J.; Woolley, L.; ReyesBenlloch, R.; Nilsson, O.; Thomas, S.G.; et al. Genetic Analysis Reveals That C19-GA 2-Oxidation Is a Major Gibberellin Inactivation Pathway in Arabidopsis. Plant Cell 2008, 20, 2420–2436. [Google Scholar] [CrossRef]
  26. Sun, T.P.; Gubler, F. Molecular mechanism of gibberellin signaling in plants. Annu. Rev Plant Biol. 2004, 55, 197–223. [Google Scholar] [CrossRef]
  27. Davière, J.M.; Achard, P. Gibberellin signaling in plants. Development 2013, 140, 1147–1151. [Google Scholar] [CrossRef] [Green Version]
  28. Colebrook, E.H.; Thomas, S.G.; Phillips, A.L.; Hedden, P. The role of gibberellin signalling in plant responses to abiotic stress. J. Exp. Biol. 2014, 217, 67–75. [Google Scholar] [CrossRef] [Green Version]
  29. Rademacher, W. Growth retardants: Effects on gibberellin biosynthesis and other metabolic pathways. Annu. Rev. Plant Physiol. Mol. Biol. 2000, 51, 501–531. [Google Scholar] [CrossRef]
  30. Cheng, C.X.; Jiao, C.; Singer, S.D.; Gao, M.; Xu, X.Z.; Zhou, Y.M.; Li, Z.; Fei, Z.J.; Wang, Y.J.; Wang, X.P. Gibberellin-induced changes in the transcriptome of grapevine (Vitis labrusca × V. vinifera) cv. Kyoho flowers. BMC Genomics 2015, 16, 128. [Google Scholar] [CrossRef]
  31. Kimura, P.H.; Okamoto, G.; Hirano, K. Effects of gibberellic acid and streptomycin on pollen germination and ovule and seed development in Muscat Bailey A. Am. J. Enol. Vitic. 1996, 47, 152–156. [Google Scholar]
  32. Cheng, C.X.; Xu, X.Z.; Singer, S.D.; Li, J.; Zhang, H.J.; Gao, M.; Wang, L.; Song, J.Y.; Wang, X.P. Effect of GA3 treatment on seed development and seed-related gene expression in grape. PLoS ONE 2013, 8, e80044. [Google Scholar] [CrossRef]
  33. Okamoto, G.; Miura, K. Effect of pre-bloom GA application on pollen tube growth in cv. Del. Grapevine Pistils. Vitis. 2005, 44, 157. [Google Scholar]
  34. Yamauchi, Y.; Ogawa, M.; Kuwahara, A.; Hanada, A.; Kamiya, Y.; Yamaguchi, S. Activation of Gibberellin Biosynthesis and Response Pathways by Low Temperature during Imbibition of Arabidopsis thaliana Seeds. Plant Cell 2004, 16, 367–378. [Google Scholar] [CrossRef]
  35. Lv, S.F.; Yu, D.Y.; Sun, Q.Q.; Jiang, J. Activation of gibberellin 20-oxidase 2 undermines auxin-dependent root and root hair growth in NaCl-stressed Arabidopsis seedlings. Plant Growth Regul. 2018, 84, 225–236. [Google Scholar] [CrossRef]
  36. Shan, C.; Mei, Z.; Duan, J.; Chen, H.; Feng, H.; Cai, W. OsGA2ox5, a gibberellin metabolism enzyme, is involved in plant growth, the root gravity response and salt stress. PLoS ONE 2014, 9, e87110. [Google Scholar] [CrossRef]
  37. Han, F.M.; Zhu, B.G. Evolutionary analysis of three gibberellin oxidase genesin rice, Arabidopsis, and soybean. Gene 2011, 473, 23–35. [Google Scholar] [CrossRef]
  38. Huang, M.; Fang, Y.; Liu, Y.; Jin, Y.L.; Sun, J.L.; Tao, X.; Ma, X.R.; He, K.Z.; Zhao, H. Using proteomic analysis to investigate uniconazole-induced phytohormone variation and starch accumulation in duckweed (Landoltia punctata). BMC Biotechnol. 2015, 15, 81. [Google Scholar] [CrossRef]
  39. Iwahori, S.; Weaver, R.J.; Pool, R.M. Gibberellin-like activity in berries of seeded and seedless Tokay grapes. Plant Physiol. 1968, 43, 333–337. [Google Scholar] [CrossRef]
  40. Wang, Z.; Zhao, F.; Zhao, X.; Ge, H.; Chai, L.; Chen, S.; Perl, A.; Ma, H. Proteomic analysis of berry-sizing effect of GA3 on seedless Vitis vinifera L. Proteomics 2012, 12, 86–94. [Google Scholar] [CrossRef]
  41. Boss, P.K.; Thomas, M.R. Association of dwarfism and floral induction with a grape ‘green revolution’ mutation. Nature 2002, 416, 847–850. [Google Scholar] [CrossRef]
  42. Agüero, C.; Vigliocco, A.; Abdala, G.; Tizio, R. Effect of gibberellic acid and uniconazol on embryo abortion in the stenospermocarpic grape cultivars Emperatriz and Perlon. Plant Growth Regul. 2000, 30, 9–16. [Google Scholar] [CrossRef]
  43. Vargas, A.M.; Cunff, L.; This, P.; Iba’n˜ez, J.; Andrés, M.T. VvGAI1polymorphisms associate with variation for berry traits in grapevine. Euphytica 2013, 191, 85–98. [Google Scholar] [CrossRef]
  44. Nicolas, S.D.; Péros, J.P.; Lacombe, T.; Launay, A.; Le Paslier, M.C.; Bérard, A.; Mangin, B.; Valière, S.; Martins, F.; Cunff, L.L.; et al. Genetic diversity, linkage disequilibrium and power of a large grapevine (Vitis vinifera L.) diversity panel newly designed for association studies. BMC Plant Biol. 2016, 16, 74. [Google Scholar] [CrossRef]
  45. Laucou, V.; Launay, A.; Bacilieri, R.; Lacombe, T.; Adam-Blondon, A.F.; Berard, A.; Chauveau, A.; de Andrés, M.T.; Hausmann, L.; Le Paslier, M.C. Extended diversity analysis of cultivated grapevine Vitis vinifera with 10K genome-wide SNPs. PLoS ONE 2018, 13, e0192540. [Google Scholar] [CrossRef]
  46. Guo, D.L.; Zhao, H.L.; Li, Q.; Zhang, G.H.; Jiang, J.F.; Liu, C.H.; Yu, Y.H. Genome-wide association study of berryrelated traits in grape [Vitis vinifera L.] based on genotyping-by-sequencing markers. Hortic. Res. 2019, 6, 11. [Google Scholar] [CrossRef]
  47. Murcia, G.; Pontin, M.; Piccoli, P. Role of ABA and Gibberellin A3 on gene expression pattern of sugar transporters and invertases in Vitis vinifera cv. Malbec during berry ripening. Plant Growth Regul. 2018, 84, 275–283. [Google Scholar] [CrossRef]
  48. Jung, C.J.; Hur, Y.Y.; Jung, S.M.; Noh, J.H.; Do, G.R.; Park, S.J.; Nam, J.C.; Park, K.S.; Hwang, H.S.; Choi, D.; et al. Transcriptional changes of gibberellin oxidase genes in grapevines with or without gibberellin application during inflorescence development. J. Plant Res. 2014, 127, 359–371. [Google Scholar] [CrossRef]
  49. Huang, Y.; Xi Wang, X.; Ge, S.; Rao, G.Y. Divergence and adaptive evolution of the gibberellin oxidase genes in plants. BMC Evol. Biol. 2015, 15, 207. [Google Scholar] [CrossRef]
  50. Larkin, M.A.; Blackshields, G.; Brown, N.P.; Chenna, R.; McGettigan, P.A.; McWilliam, H.; Valentin, F.; Wallace, I.M.; Wilm, A.; Lopez, R.; et al. Clustal W and Clustal X version 2.0. Bioinformatics 2007, 23, 2947–2948. [Google Scholar] [CrossRef] [Green Version]
  51. Letunic, I.; Doerks, T.; Bork, P. SMART 7: Recent updates to the protein domain annotation resource. Nucleic Acids Res. 2011, 40, D302–D305. [Google Scholar] [CrossRef]
  52. Wilkins, M.R.; Gasteiger, E.; Bairoch, A.; Sanchez, J.C.; Hochstrasser, D.F. Protein Identification and Analysis Tools in the ExPASy Server. Methods Mol. Biol. 1999, 112, 531–552. [Google Scholar]
  53. Kumar, S.; Stecher, G.; Tamura, K. MEGA7: Molecular evolutionary genetics analysis version 7.0 for bigger datasets. Mol. Biol. Evol. 2016, 33, 1870–1874. [Google Scholar] [CrossRef]
  54. Hershberg, R.; Petrov, D.A. Selection on codon bias. Annu. Rev. Genet. 2008, 42, 287–299. [Google Scholar] [CrossRef]
  55. Larracuente, A.M.; Sackton, T.B.; Greenberg, A.J.; Wong, A.; Singh, N.D.; Sturgill, D.; Zhang, Y.; Oliver, B.; Clark, A.G. Evolution of protein-coding genes in Drosophila. Trends Genet. 2008, 24, 114–123. [Google Scholar] [CrossRef]
  56. Plotkin, J.B.; Kudla, G. Synonymous but not the same: The causes and consequences of codon bias. Nature reviews. Genetics 2011, 12, 32–42. [Google Scholar]
  57. Guo, Y.; Liu, J.; Zhang, J.; Liu, S.; Du, J. Selective modes determine evolutionary rates, gene compactness and expression patterns in Brassica. Plant J. 2017, 91, 34–44. [Google Scholar] [CrossRef]
  58. Wang, P.F.; Su, L.; Gao, H.H.; Jiang, X.; Wu, X.Y.; Li, Y.; Zhang, Q.Q.; Wang, Y.M.; Ren, F.S. Genome-Wide Characterization of bHLH Genes in Grape and Analysis of their Potential Relevance to Abiotic Stress Tolerance and Secondary Metabolite Biosynthesis. Front. Plant Sci. 2018, 9, 64. [Google Scholar] [CrossRef] [Green Version]
  59. Lescot, M.; Déhais, P.; Thijs, G.; Marchal, K.; Moreau, Y.; Van de Peer, Y.; Rouzé, P.; Rombauts, S. PlantCARE, a database of plant cis-acting regulatory elements and a portal to tools for in silico analysis of promoter sequences. Nucleic Acids Res. 2002, 30, 325–327. [Google Scholar] [CrossRef]
  60. Wang, P.; Gao, C.; Bian, X.; Zhao, S.; Zhao, C.; Xia, H.; Song, H.; Hou, L.; Wan, S.; Wang, X. Genome-wide identification and comparative analysis of cytosine-5 DNA methyltransferase and demethylase families in wild and cultivated peanut. Front. Plant Sci. 2016, 7, 7. [Google Scholar] [CrossRef]
  61. Grimplet, J.; Pimentel, D.; Agudelo-Romero, P.; Martinez-Zapater, J.M.; Fortes, M. The LATERAL ORGAN BOUNDARIES Domain gene family in grapevine: Genome-wide characterization and expression analyses during developmental processes and stress responses. Sci. Rep. 2017, 7, 15968. [Google Scholar] [CrossRef]
  62. Fasoli, M.; Dal Santo, S.; Zenoni, S.; Tornielli, G.B.; Farina, L.; Zamboni, A.; Porceddu, A.; Venturini, L.; Bicego, M.; Murino, V.; et al. The grapevine expression atlas reveals a deep transcriptome shift driving the entire plant into a maturation program. Plant Cell 2012, 24, 3489–3505. [Google Scholar] [CrossRef]
  63. Willems, E.; Leyns, L.; Vandesompele, J. Standardization of real-time PCR gene expression data from independent biological replicates. Anal. Biochem. 2008, 37, 127–129. [Google Scholar] [CrossRef]
  64. Richards, D.E.; King, K.E.; Ait-ali, T.; Harberd, N.P. How gibberellin regulates plant growth and development: A molecular genetic analysis of gibberellin signaling. Annu. Rev. Plant Physiol. Plant Mol. Biol. 2001, 52, 67–88. [Google Scholar] [CrossRef]
  65. Kaneko, M.; Itoh, H.; Inukai, Y.; Sakamoto, T.; Ueguchi-Tanaka, M.; Ashikari, M.; Matsuoka, M. Where do gibberellin biosynthesis and gibberellin signaling occur in rice plants? Plant J. 2003, 35, 104–115. [Google Scholar] [CrossRef]
  66. Sakamoto, T.; Miura, K.; Itoh, H.; Tatsumi, T.; Ueguchi-Tanaka, M.; Ishiyama, K.; Kobayashi, M.; Agrawal, G.K.; Takeda, S.; Abe, K.; et al. An Overview of Gibberellin Metabolism Enzyme Genes and Their Related Mutants in Rice. Plant Physiol. 2004, 134, 1642–1653. [Google Scholar] [CrossRef] [Green Version]
  67. Sun, H.; Pang, B.Y.; Yan, J.; Wang, T.; Wang, L.N.; Chen, C.H.; Li, Q.; Ren, Z.H. Comprehensive Analysis of Cucumber Gibberellin Oxidase Family Genes and Functional Characterization of CsGA20ox1 in Root Development in Arabidopsis. Int. J. Mol. Sci. 2018, 19, 3135. [Google Scholar] [CrossRef]
  68. Helaakoski, T.; Annunen, P.; Vuori, K.; MacNeil, I.A.; Pihlajaniemi, T.; Kivirikko, K.I. Cloning, baculovirus expression, and characterization of a second mouse prolyl 4-hydroxylase α-subunit isoform: Formation of an α 2 β 2 tetramer with the protein disulfide-isomerase/β subunit. Proc. Nat. Acad. Sci. USA 1995, 92, 4427–4431. [Google Scholar] [CrossRef]
  69. Aravind, L.; Koonin, E.V. The DNA-repair protein AlkB, EGL-9, and leprecan define new families of 2-oxoglutarate-and iron-dependent dioxygenases. Genome Biol. 2001, 2, research0007.1–research0007.8. [Google Scholar] [CrossRef]
  70. Kusaba, S.; Honda, C.; Kano-Murakami, Y. Isolation and expression of gibberellin 20-oxidase homologous in apple. J. Exp. Bot. 2001, 52, 375–376. [Google Scholar] [CrossRef]
  71. Qin, X.; Liu, J.H.; Zhao, W.S.; Chen, X.J.; Guo, Z.J.; Peng, Y.L. Gibberellin 20-oxidase gene OsGA20ox3 regulates plant stature and disease development in rice. Mol. Plant Microbe Interact. 2013, 26, 227–239. [Google Scholar] [CrossRef]
  72. Wu, J.M.; Chen, R.F.; Huang, X.; Qiu, L.H.; Li, Y.R. Studies on the gene of key component GA20-oxidase for gibberellin biosynthesis in plant. Biotechnol. Bull. 2016, 32, 1–12. [Google Scholar]
Figure 1. Phylogenetic tree and gene structure analysis of GA2ox, GA3ox, and GA20ox gene family in grape. The amino acid sequences of GA2ox, GA3ox, and GA20ox proteins were aligned with ClustalX, and a phylogenetic tree was constructed using the Neighbor-joining method (NJ) method in MEGA v.7.0. Each node was represented by a number that indicated the bootstrap value for 1000 replicates. The scale bar represented 0.1 substitution per sequence position (left). The right side illustrates the exon–intron organization of the corresponding GA2ox, GA3ox, and GA20ox genes. Exon CDS, Upstream/Downstream, and intron were denoted by the yellow boxes, blue boxes, and black lines, respectively. The scale bar represented 1 kb (right).
Figure 1. Phylogenetic tree and gene structure analysis of GA2ox, GA3ox, and GA20ox gene family in grape. The amino acid sequences of GA2ox, GA3ox, and GA20ox proteins were aligned with ClustalX, and a phylogenetic tree was constructed using the Neighbor-joining method (NJ) method in MEGA v.7.0. Each node was represented by a number that indicated the bootstrap value for 1000 replicates. The scale bar represented 0.1 substitution per sequence position (left). The right side illustrates the exon–intron organization of the corresponding GA2ox, GA3ox, and GA20ox genes. Exon CDS, Upstream/Downstream, and intron were denoted by the yellow boxes, blue boxes, and black lines, respectively. The scale bar represented 1 kb (right).
Genes 10 00680 g001
Figure 2. Phylogenetic analysis of GA2oxs, GA3oxs, and GA20oxs in Arabidopsis (At), rice (Os), Malus (Md), and grape (Vv). The amino acid sequences of GA2oxs, GA3oxs, and GA20oxs proteins were aligned with ClustalX, and a phylogenetic tree was constructed using the NJ method in MEGA v.7.0. Each node was represented by a number that indicated the bootstrap value for 1000 replicates. The subgroups were marked by a colorful background.
Figure 2. Phylogenetic analysis of GA2oxs, GA3oxs, and GA20oxs in Arabidopsis (At), rice (Os), Malus (Md), and grape (Vv). The amino acid sequences of GA2oxs, GA3oxs, and GA20oxs proteins were aligned with ClustalX, and a phylogenetic tree was constructed using the NJ method in MEGA v.7.0. Each node was represented by a number that indicated the bootstrap value for 1000 replicates. The subgroups were marked by a colorful background.
Genes 10 00680 g002
Figure 3. Schematic of the amino acid Motifs of GA2ox, GA3ox, and GA20ox proteins in grape.
Figure 3. Schematic of the amino acid Motifs of GA2ox, GA3ox, and GA20ox proteins in grape.
Genes 10 00680 g003
Figure 4. Hierarchical clustering of the expression profiles of 23 VvGAox genes subjected to ABA treatments for 3, 10, 14, and 28 days in grape. In the graph, 3d-Un represent untreated the grape fruit just as control, 3d-ABA represent have been treated grape fruit with ABA, Simultaneously, 10d-Un, 14d-Un, 28d-Un, representing untreated grape fruit at 10, 14, and 28 days, otherwise, 10d-ABA, 14d-ABA, 28d-ABA, representing have been treated the grape fruit at 10, 14, and 28 days. Red or green shading represented the upregulated or downregulated expression level, respectively. The scale denoted the relative expression level.
Figure 4. Hierarchical clustering of the expression profiles of 23 VvGAox genes subjected to ABA treatments for 3, 10, 14, and 28 days in grape. In the graph, 3d-Un represent untreated the grape fruit just as control, 3d-ABA represent have been treated grape fruit with ABA, Simultaneously, 10d-Un, 14d-Un, 28d-Un, representing untreated grape fruit at 10, 14, and 28 days, otherwise, 10d-ABA, 14d-ABA, 28d-ABA, representing have been treated the grape fruit at 10, 14, and 28 days. Red or green shading represented the upregulated or downregulated expression level, respectively. The scale denoted the relative expression level.
Genes 10 00680 g004
Figure 5. Hierarchical clustering of the expression profiles of 23 VvGAoxs genes at different abiotic stress experiments in grape. Abiotic stress experiments: salt, PEG, and cold. Heatmap experiments were performed with GeneChip microarrays, which were from Affymetrix GeneChip 16K with short-term abiotic stress‘Cabernet Sauvignon.’ Red or green shading represented the upregulated or downregulated expression level, respectively. The scale denoted the relative expression level.
Figure 5. Hierarchical clustering of the expression profiles of 23 VvGAoxs genes at different abiotic stress experiments in grape. Abiotic stress experiments: salt, PEG, and cold. Heatmap experiments were performed with GeneChip microarrays, which were from Affymetrix GeneChip 16K with short-term abiotic stress‘Cabernet Sauvignon.’ Red or green shading represented the upregulated or downregulated expression level, respectively. The scale denoted the relative expression level.
Genes 10 00680 g005
Figure 6. Hierarchical clustering of the expression profiles of 14 VvGAoxs genes at different organizations experiments in grape. Heatmap experiments were performed with GeneChip microarrays, which were from Grape eFP Browser in grape. Red or green shading represented the upregulated or downregulated expression level, respectively. The scale denoted the relative expression level. Note: Stamen, pool of stamens from undisclosed flowers at 10% and 50% open flowers; BerryPericarp-FS, berry pericarp fruit set; BerryPericarp-PFS, berry pericarp post-fruit set; BerryPericarp-V, berry pericarp véraison; BerryPericarp-MR, berry pericarp mid-ripening; BerryPericarp-R, berry pericarp ripening; Bud-S, bud swell; Bud-B, bud burst (green tip); Bud-AB, bud after-burst (rosette of leaf tips visible); Bud-L, latent bud; Bud-W, winter bud; BerryFlesh-PFS, berry flesh post fruit set; BerryFlesh-V, berry flesh véraison; BerryFlesh-MR, berry flesh mid-ripening; BerryFlesh-R, berry flesh ripening; BerryFlesh-PHWI, berry flesh post-harvest withering I (1st month); BerryFlesh-PHWII, berry flesh post-harvest withering II (2nd month); BerryFlesh-PHWIII, berry flesh post-harvest withering III (3rd month); Inflorescence-Y, young inflorescence (single flower in compact groups); Inflorescence-WD, well developed inflorescence (single flower separated); Flower-FB, flowering begins (10% caps off); Flower-F, flowering (50% caps off); Root, root in vitro cultivation; Leaf-Y, young leaf (pool of leaves from shoot of 5 leaves); Leaf-FS, mature leaf (pool of leaves from shoot at fruit set); Leaf-S, senescencing leaf (pool of leaves at the beginning of leaf fall); Carpel, pool of carpels from undisclosed flowers at 10% and 50% open flowers; Petal, pool of petals from undisclosed flowers at 10% and 50% open flowers; BerryPericarp-PHWI, berry pericarp post-harvest withering I (1st month); BerryPericarp-PHWII, berry pericarp post-harvest withering II (2nd month); BerryPericarp-PHWIII, berry pericarp post-harvest withering III (3rd month); Pollen, pollen from disclosed flowers at more than 50% open flowers; Rachis-FS, rachis fruit set; Rachis-PFS, rachis post-fruit set; Rachis-V, rachis véraison; Rachis-MR, rachis mid-ripening; Rachis-R, rachis ripening; Seed-V, seed véraison; Seed-MR, seed mid-ripening; Seed-FS, seed fruit set; Seed-PFS, seed post-fruit set; Seedling, seedling pool of 3 developmental stages; BerrySkin-PFS, berry skin post-fruit set; BerrySkin-V, berry skin véraison; BerrySkin-MR, berry skin mid-ripening; BerrySkin-R, berry skin ripening; BerrySkin-PHWI, berry skin post-harvest withering I (1st month); BerrySkin-PHWII, berry skin post-harvest withering II (2nd month); BerrySkin-PHWIII, berry skin post-harvest withering III (3rd month); Stem-G, green stem; Stem-W, woody stem; Tendril-Y, young tendril (pool of tendrils from shoot of 7 leaves); Tendril-WD, well developed tendril (pool of tendrils from shoot of 12 leaves); Tendril-FS, mature tendril (pool of tendrls at fruit set).
Figure 6. Hierarchical clustering of the expression profiles of 14 VvGAoxs genes at different organizations experiments in grape. Heatmap experiments were performed with GeneChip microarrays, which were from Grape eFP Browser in grape. Red or green shading represented the upregulated or downregulated expression level, respectively. The scale denoted the relative expression level. Note: Stamen, pool of stamens from undisclosed flowers at 10% and 50% open flowers; BerryPericarp-FS, berry pericarp fruit set; BerryPericarp-PFS, berry pericarp post-fruit set; BerryPericarp-V, berry pericarp véraison; BerryPericarp-MR, berry pericarp mid-ripening; BerryPericarp-R, berry pericarp ripening; Bud-S, bud swell; Bud-B, bud burst (green tip); Bud-AB, bud after-burst (rosette of leaf tips visible); Bud-L, latent bud; Bud-W, winter bud; BerryFlesh-PFS, berry flesh post fruit set; BerryFlesh-V, berry flesh véraison; BerryFlesh-MR, berry flesh mid-ripening; BerryFlesh-R, berry flesh ripening; BerryFlesh-PHWI, berry flesh post-harvest withering I (1st month); BerryFlesh-PHWII, berry flesh post-harvest withering II (2nd month); BerryFlesh-PHWIII, berry flesh post-harvest withering III (3rd month); Inflorescence-Y, young inflorescence (single flower in compact groups); Inflorescence-WD, well developed inflorescence (single flower separated); Flower-FB, flowering begins (10% caps off); Flower-F, flowering (50% caps off); Root, root in vitro cultivation; Leaf-Y, young leaf (pool of leaves from shoot of 5 leaves); Leaf-FS, mature leaf (pool of leaves from shoot at fruit set); Leaf-S, senescencing leaf (pool of leaves at the beginning of leaf fall); Carpel, pool of carpels from undisclosed flowers at 10% and 50% open flowers; Petal, pool of petals from undisclosed flowers at 10% and 50% open flowers; BerryPericarp-PHWI, berry pericarp post-harvest withering I (1st month); BerryPericarp-PHWII, berry pericarp post-harvest withering II (2nd month); BerryPericarp-PHWIII, berry pericarp post-harvest withering III (3rd month); Pollen, pollen from disclosed flowers at more than 50% open flowers; Rachis-FS, rachis fruit set; Rachis-PFS, rachis post-fruit set; Rachis-V, rachis véraison; Rachis-MR, rachis mid-ripening; Rachis-R, rachis ripening; Seed-V, seed véraison; Seed-MR, seed mid-ripening; Seed-FS, seed fruit set; Seed-PFS, seed post-fruit set; Seedling, seedling pool of 3 developmental stages; BerrySkin-PFS, berry skin post-fruit set; BerrySkin-V, berry skin véraison; BerrySkin-MR, berry skin mid-ripening; BerrySkin-R, berry skin ripening; BerrySkin-PHWI, berry skin post-harvest withering I (1st month); BerrySkin-PHWII, berry skin post-harvest withering II (2nd month); BerrySkin-PHWIII, berry skin post-harvest withering III (3rd month); Stem-G, green stem; Stem-W, woody stem; Tendril-Y, young tendril (pool of tendrils from shoot of 7 leaves); Tendril-WD, well developed tendril (pool of tendrils from shoot of 12 leaves); Tendril-FS, mature tendril (pool of tendrls at fruit set).
Genes 10 00680 g006
Figure 7. Number of cis-acting elements in GA2ox, GA3ox and GA20ox promoter of grape. Note: ABRE, abscisic acid responsiveness. ARE, regulatory element essential for the anaerobic induction. AuxRE, auxin-responsive element. AuxRR-core, regulatory element involved in auxin responsiveness. Box-4, part of a conserved DNA module involved in light responsiveness. CAT-box, cis-acting regulatory element related to meristem expression. CGTCA-Motif, cis-acting regulatory element involved in the MeJA-responsiveness. G-Box, cis-acting regulatory element involved in light responsiveness. GARE-Motif, gibberellin-responsive element. LTR, cis-acting element involved in low-temperature responsiveness.MBS, MYB binding site involved in drought-inducibility. P-box, gibberellin-responsive element. TATC-box, cis-acting element involved in gibberellin-responsiveness. TCA-element, cis-acting element involved in salicylic acid responsiveness. TGA-element, auxin-responsive element. TGACG-Motif, cis-acting regulatory element involved in the MeJA-responsiveness. Circadian, cis-acting regulatory element involved in circadian control.
Figure 7. Number of cis-acting elements in GA2ox, GA3ox and GA20ox promoter of grape. Note: ABRE, abscisic acid responsiveness. ARE, regulatory element essential for the anaerobic induction. AuxRE, auxin-responsive element. AuxRR-core, regulatory element involved in auxin responsiveness. Box-4, part of a conserved DNA module involved in light responsiveness. CAT-box, cis-acting regulatory element related to meristem expression. CGTCA-Motif, cis-acting regulatory element involved in the MeJA-responsiveness. G-Box, cis-acting regulatory element involved in light responsiveness. GARE-Motif, gibberellin-responsive element. LTR, cis-acting element involved in low-temperature responsiveness.MBS, MYB binding site involved in drought-inducibility. P-box, gibberellin-responsive element. TATC-box, cis-acting element involved in gibberellin-responsiveness. TCA-element, cis-acting element involved in salicylic acid responsiveness. TGA-element, auxin-responsive element. TGACG-Motif, cis-acting regulatory element involved in the MeJA-responsiveness. Circadian, cis-acting regulatory element involved in circadian control.
Genes 10 00680 g007
Figure 8. Expression levels of VvGA2ox, VvGA3ox, and VvGA20ox in grape leaves after 24 h under different treatments with CK, contrast check; A, 5 mg·L-1 gibberellin 3 (GA3) ; B, 10 mg·L-1 GA3 ; C, 15 mg·L-1 GA3 ; D, 20 mg·L-1 GA3 ; and E, 10 mg·L-1 uniconazole. The specimens were analyzed through real time PCR. GAPDH (CB973647) was detected as an internal reference gene. Gene expression was normalized to the control unstressed expression level, which was assigned with a value of 1. Data represented the average of three independent experiments ± SD. Standard errors were shown as bars above the columns. a, b, c denotes significant difference at the level of p < 0.05.
Figure 8. Expression levels of VvGA2ox, VvGA3ox, and VvGA20ox in grape leaves after 24 h under different treatments with CK, contrast check; A, 5 mg·L-1 gibberellin 3 (GA3) ; B, 10 mg·L-1 GA3 ; C, 15 mg·L-1 GA3 ; D, 20 mg·L-1 GA3 ; and E, 10 mg·L-1 uniconazole. The specimens were analyzed through real time PCR. GAPDH (CB973647) was detected as an internal reference gene. Gene expression was normalized to the control unstressed expression level, which was assigned with a value of 1. Data represented the average of three independent experiments ± SD. Standard errors were shown as bars above the columns. a, b, c denotes significant difference at the level of p < 0.05.
Genes 10 00680 g008
Table 1. The characteristic of VvGAoxs.
Table 1. The characteristic of VvGAoxs.
Gene NameGene Accession No.PositionLocationCDS (bp)Peptide (aa)Mw (kD)GRAVYpIIIAI
VvGA2ox1GSVIVT0100068700115,497,729–15,499,6501997232336.11644−0.1936.5451.2283.90
VvGA2ox2GSVIVT0100068900115,603,207–15,604,9301999933337.29584−0.2218.2235.9388.08
VvGA2ox3GSVIVT010019660015,864,698–5,871,3711999032937.80599−0.3045.8547.9282.64
VvGA2ox4GSVIVT0101022800117,965,019–17,966,9641117339144.33751−0.3896.1145.1275.29
VvGA2ox5GSVIVT01012628001190,065–195,08710126642248.52461−0.2536.2149.1280.59
VvGA2ox6GSVIVT0101567100115,307,070–15,312,5213105935239.12278−0.2456.1140.4889.12
VvGA2ox7GSVIVT010214680015,846,741–5,848,38810100233337.26860−0.2885.4245.8983.33
VvGA2ox8GSVIVT010281690014,377,203–4,380,8577100533537.36711−0.1407.0051.0791.61
VvGA2ox9GSVIVT010318140014,642,801–4,644,2793102934339.34553−0.5295.6730.8281.25
VvGA2ox10GSVIVT010318260014,723,791–4,725,1513102934339.31948−0.5495.9233.2880.96
VvGA2ox11GSVIVT01034945001343,990–346,7795102033937.34141−0.2135.4046.4781.36
VvGA3ox1GSVIVT010088110012,346,915–2,348,5021882527531.27474−0.4695.1726.4083.96
VvGA3ox2GSVIVT010171730014,993,413–4,995,2909109836640.28499−0.1416.1541.5290.85
VvGA3ox3GSVIVT010171780015,037,569–5,040,8789108036039.31305−0.0505.1453.0594.31
VvGA3ox4GSVIVT010206800013,145,880–3,152,44512203767875.98287−0.2466.1735.2686.95
VvGA3ox5GSVIVT0102692800119,336,280–19,337,3541598732837.04838−0.2175.4150.0680.46
VvGA3ox6GSVIVT010357960014,431,413–4,432,8594106835539.67545−0.1756.4645.6389.55
VvGA20ox1GSVIVT010087820011,982,673–1,985,44518123341146.88131−0.3686.6530.5575.89
VvGA20ox2GSVIVT0101845300114,861,395–14,863,1901689129733.30088−0.2355.1840.2275.82
VvGA20ox3GSVIVT010196960012,527,135–2,532,638296632236.21120−0.2875.7443.1191.27
VvGA20ox4GSVIVT0102645300123,382,368–23,384,1354113437842.94017−0.4186.2833.7077.38
VvGA20ox5GSVIVT0102646600123,110,638–23,112,1504112837642.91282−0.3535.2032.0276.22
VvGA20ox6GSVIVT0102757200115,453,533–15,455,1301589729833.80984−0.2686.4542.8776.54
VvGA20ox7GSVIVT010318370014,782,181–4,783,671393931335.72351−0.4285.3735.5082.81
Notes: isoelectric point (pI), molecular weight (Mw), instability index (II), aliphatic index (AI) and grand average of hydropathicity (GRAVY), Coding sequence (CDS).

Share and Cite

MDPI and ACS Style

He, H.; Liang, G.; Lu, S.; Wang, P.; Liu, T.; Ma, Z.; Zuo, C.; Sun, X.; Chen, B.; Mao, J. Genome-Wide Identification and Expression Analysis of GA2ox, GA3ox, and GA20ox Are Related to Gibberellin Oxidase Genes in Grape (Vitis vinifera L.). Genes 2019, 10, 680. https://doi.org/10.3390/genes10090680

AMA Style

He H, Liang G, Lu S, Wang P, Liu T, Ma Z, Zuo C, Sun X, Chen B, Mao J. Genome-Wide Identification and Expression Analysis of GA2ox, GA3ox, and GA20ox Are Related to Gibberellin Oxidase Genes in Grape (Vitis vinifera L.). Genes. 2019; 10(9):680. https://doi.org/10.3390/genes10090680

Chicago/Turabian Style

He, Honghong, Guoping Liang, Shixiong Lu, Pingping Wang, Tao Liu, Zonghuan Ma, Cunwu Zuo, Xiaomei Sun, Baihong Chen, and Juan Mao. 2019. "Genome-Wide Identification and Expression Analysis of GA2ox, GA3ox, and GA20ox Are Related to Gibberellin Oxidase Genes in Grape (Vitis vinifera L.)" Genes 10, no. 9: 680. https://doi.org/10.3390/genes10090680

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop