Skip to main content
  • Research article
  • Open access
  • Published:

Genome-wide identification and characterization of gibberellin metabolic and signal transduction (GA MST) pathway mediating seed and berry development (SBD) in grape (Vitis vinifera L.)



Grape is highly sensitive to gibberellin (GA), which is crucial during seed and berry development (SBD) either by itself or by interacting with other hormones, such as auxin, Abscisic acid (ABA), and Cytokinin (CK). However, no systematic analysis of GA metabolic and signal transduction (MST) pathway has been undertaken in grapevine.


In this study, total endogenous GA3 content significantly decreased during SBD, and a total of 48 known genes in GA metabolic (GAM; 31) and signal transduction (ST; 17) pathways were identified in this process. In the GAM pathway, out of 31 genes, VvGA20ox1–1, VvGA3ox4–1, and VvGA2ox1–1 may be the major factors interacting at the green-berry stage (GBS) accompanied with higher accumulation rate. GA biosynthesis was greater than GA inactivation at GBS, confirming the importance of seeds in GA synthesis. The visible correlation between endogenous GA3 content and gene expression profiles suggested that the transcriptional regulation of GA biosynthesis pathway genes was a key mechanism of GA accumulation at the stone-hardening stage (SHS). Interestingly, we observed a negative feedback regulation between VvGA3oxs-VvGAI1–4, VvGA2oxs-VvGAI1–4, and VvGID1B-VvGAI1–4 in maintaining the balance of GA3 content in berries. Moreover, 11 miRNAs may be involved in the modulation of GA MST pathway by mediating their target genes, such as VvGA3ox, VvGID1B, and VvGAMYB. Many genes in auxin, ABA, and CK MST pathways were further identified and found to have a special pattern in the berry, and the crosstalk between GA and these hormones may modulate the complex process during SBD through the interaction gene network of the multihormone pathway. Lastly, based on the expression characterization of multihormone MST pathway genes, a proposed model of the GA-mediated multihormone regulatory network during SBD was proposed.


Our results provided novel insights into GA-mediated regulatory networks during SBD in grape. The complexity of GA-mediated multihormone ST in SBD was also elucidated, thereby providing valuable information for future functional characterizations of specific genes in grape.


Grape (Vitis vinifera L.), which is a perennial fruit crop cultivated globally, is economically important playing a major role for human health served as fresh food, dried food, and beverages and valued for its medicinal importance. The seed and berry development (SBD) is one of the extremely important phases during its life cycle. Grape is highly sensitive to gibberellin (GA), which is one of the essentially significant hormones during SBD. The molecular and genetic analysis in previous studies revealed that GA signal is involved in various stages of berry growth and development [1], such as promoting berry expansion, significantly affecting fruit set, coloring, and development, and ripening of berries. Several studies have demonstrated the exogenous prebloom application of GA3-induced seed abortion in the ‘Zuijinxiang’ and ‘Red Globe’ seeded cultivars [2, 3]. Furthermore, GA can increase fruit sink strength [4]; thus, GA can indirectly affect fruit development through affecting energy supplement. During the past two decades, a set of genes involved in GA signal pathway have been identified, and the biological functions of key genes have been extensively characterized in banana [5] and apple [6]. The molecular interaction network of GA signal pathway in regulating SBD at the whole wide-transcriptome level is still unclear in grape.

The control of DELLA stability is a key factor for the GA response and represents a major entry point importance for other phytohormones, such as IAA [7] and ABA [8], affecting plant growth and development. Therefore, we supposed that a network exists between DELLA proteins that mediated GA metabolic and signal transduction (MST) pathways and a cross talk with multihormone MST pathway during SBD. A complete understanding of the GA, ABA, auxin, and CK MST pathways is fundamental for elucidating the mechanisms during grape SBD. With the release of the grape genome sequence ( and the increasing affordability of high throughput analysis tools, a better opportunity is present to study the genes related to MST pathways in grape systematically.

The morphological and physiological variation during development of berries obviously implies the expression level variation of many genes, including genes in GA MST pathway. On the basis of the RNA-seq data from four grape berry developmental stages, we identified and characterized the genes involved in GA, auxin, CK, and ABA MST pathways in grape berries and detected their spatio-temporal expression profiles during SBD, together with the accumulation variation of GA3, IAA, ZR, and ABA contents along with the berry development, to gain insight into the signal regulatory networks of SBD at the whole wide-transcriptome level. A complex regulatory network of GA-mediating SBD with other hormone cooperative regulations in grape was developed. Our research outcome could enhance understanding and provide valuable information for further elucidation of molecular mechanisms and underlying interactions between GA and ABA, Auxin, CK regulation during SBD.


Morphological, physiological, and biochemical variations during SBD

Figure 1a shows that grape berries continued growing from green-berry stage (GBS) until ripening period, whereas grape seeds developed maturity and hardened by SHS. The developmental curve and average weight of berries and seed showed a rapid increase from GBS to SHS, whereas they maintained stability during berry-veraison stage (BVS) and berry-ripening stage (BRS) (Fig. 1b and c). During initial berry growth and GBS, berry size increased along a sigmoidal growth curve due to cell division and expansion. SHS is defined as a lag phase in which cell expansion ceases, seeds harden, embryo rapidly develops, and sugars begin to accumulate. BVS marks the beginning of the BRS in which berries undergo a second period of sigmoidal growth due to additional mesocarp cell expansion, accumulation of anthocyanin, glucose, and fructose, and a decline in organic acid accumulation.

Fig. 1
figure 1

Growth and Variation in berry size during development of berries at four stages (GBS, SHS, BVS and BRS). a Color and size variation in clusters, berries and seeds at GBS, SHS, BVS and BRS. b Variation in average single seed and berry weights at four developmental stages. c Variation in average length and width of single seed and berry during four developmental stages. d Endogenous levels of GA3, IAA, ZR and ABA during four stages of development of berries

Contents of endogenous GA3, IAA, ZR, and ABA

The levels of endogenous hormones GA3, IAA, and ZR during berry development both increased and decreased, whereas the levels of ABA decreased. The highest levels of GA3, IAA, and ZR were observed at SHS, whereas ABA was at GBS. The total amount of GA3, IAA, and ZR (expressed as ng/g fw) progressively increased from 1.90, 21.38, and 5.81 ng/g fw at GBS to 14.24, 99.62, and19.28 ng/g fw at SHS, and decreased from to 7.00, 78.93, and 17.84 ng/g fw at BRS (Fig. 1d). ABA was detected at 119.73 ng/g fw at GBS to 41.67 ng/g fw in ripe berry.

Identification of genes in GA MST pathway

In grape, a total of 48 non-redundant GA MST-related genes were identified in this study. Each of them was named based on the enzymatic reaction and referred to Arabidopsis thaliana GA MST pathway. Among these 48 GA MST-related genes, 31 and 17 genes were involved in GAM and ST, respectively. These genes belonged to nine different gene families, and all of them were identified as single gene copy. Two genes showed no change in their expression levels during SBD, including VvGA20ox1–2 and VvGA20ox2–1, and 2 transcripts were observed as upregulated or downregulated slightly. About 44 transcripts were considered as significantly differentially expressed genes (Tables 1 and 2).

Table 1 GA Metabolic pathway genes in grape berry
Table 2 GA Signal transduction pathway genes in grape berry

In silico characterization of genes in GA MST pathway during berry development

Chromosomal distribution and collinearity of genes

A total of 48 genes in GA MST pathway could be assigned to 18 out of 19 grape chromosomes (except for Chr 2), and uneven distribution of genes across the chromosomes was observed. Chr9 harbored most of the genes (8), followed by Chr4 (6), Chr7 (4), Chr19 (4), Chr17 (3), and the remaining Chrs with 1–2. The results revealed that the genes, such asVvGA20oxs and VvGA3oxs, in the GA biosynthesis pathway tended to localize on the same Chrs, that is, on Chr 4 and 9, whereas VvGA2oxs in GA inactive pathway were localized on the same Chrs, that is, Chr1, 7, and 19, also the genes in GA signal pathway such as VvGID1B(Chr7), VvGAIs (Chr1, 7, 14, and 17), and VvRGL1 (Chr9). These results indicated that similar functional genes may possess certain conservation in their locus in grape genome (Fig. 2a).

Fig. 2
figure 2

Chromosomal locations, Sequence feature analysis, gene duplication and phylogenetic analysis of GA MST pathway genes. a Chromosomal location of GA MST pathway genes. b Synteny analysis of GA MST pathway genes. Gray lines indicate all synteny blocks in the grape genome whereas the red lines suggest duplicated gene pairs. c NJ phylogenetic tree of GA MST pathway proteins and exon-intron structure of GA MST pathway genes. Three different legends were used 2 genes with long genomic sequence (VvPKL and VvSPY1) used 70 kb and 17 kb legends, and the others genes used the short legends. Yellow indicates exons; black indicates introns; blue indicated UTRs. d Domains of VvGA20oxs and VvGA3oxs family and DELLA proteins. e The DIOX_N domain and 20G-Fell_Oxy domain sequences are highly conserved across all GA20ox and GA3ox proteins, and GRAS domain are highly conserved in DELLA proteins, while DELLA domain is only in SLR, GAI1–4 and GAI1–5 protein. The height of the letter (amino acid) at each position represents the degree of conservation. (Color figure online)

Furthermore, 12 genes (i.e., VvGA3ox4–1/VvGA3ox1–2, VvGA3ox1–4/VvGA20ox3–1/VvGA20ox1–3/VvGA3ox1–3/VvGA2ox2–3/VvGA20ox3–2/VvGA3ox1–1/VvGA3ox3, and VvGA2ox1–1/VvGA2ox1–3) were clustered into three tandem duplication event regions on grape Chr4, 9, and 19 (Fig. 2b). Besides the tandem duplication events, three segregation duplication events (i.e., VvGA20ox1-B1/VvGA3ox4–3, VvGA20ox1-B2/VvGA3ox4–3, and VvGA3ox1–4/VvGA3ox1–3) were also identified (Fig. 2b), indicating that some grape genes in GA MST pathway were possibly generated by gene duplication. Moreover, the segregation duplication events can also provide a reference for the GA MST gene evolutionary relationship and functional prediction.

Phylogenetic tree and exon–intron organization of genes in GA MST pathway

The phylogenetic tree classified the proteins coded by genes in the GA MST pathway into two groups, G1 and G2 (Fig. 2c). All genes in GA metabolism pathway were clustered into G1, whereas except for VvPKL, VvSHI, and VvSPY2, the remaining genes were clustered in GA ST pathway into G2.

Unlike their locations in Chrs, VvGA20oxs was closer to VvGA2oxs than VvGA3oxs. Further analysis of the exon–intron structure on the genes in GA MST pathway showed that similar to their phylogenetic tree, the exon numbers of the majority of genes in G1 were 3 or 2, whereas those in G2 were 1 (Fig. 2d). However, high variation was observed in the number of exons and introns in all genes in GA MST pathway. Eight genes (i.e., VvGID2–1, VvGID2–2, VvGAI1–3, VvRGL1, VvGAI1–2, VvSLR1, VvGAI1–4, and VvGAI1–5) had no intron in the grape genome; whereas VvPKL was the longest gene with 70 kb genomic sequence in GA MST pathway and contained the most exons (29) in this study, followed by VvSPY1 with 16 exons, VvSPY2 and VvbHLH137 with 8/7, respectively, whereas the remaining 42 genes all had 1–3 exons (Fig. 2d).

Features of conserved domains and motifs

The DIOX_N domain and 20G-Fell_Oxy domain are common domains of 20 VvGA20oxs and VvGA3oxs. On the basis of the same domains, we identified the highly conserved motif of DIOX_N domain (Fig. 2. F-a) and 20G-Fell_Oxy domain (Fig. 2. F-b). Additionally, VvGA20oxs and VvGA3oxs were localized on the same Chrs. Similar to VvGA20oxs and VvGA3oxs, three highly conserved motifs of GRAS domain were identified in seven DELLA proteins. DELLA domain was found in VvGAI1–4, VvSLR1, and VvGAI1–5. Furthermore, they clustered into the same branch of phylogenetic tree, suggesting they may have similar function.

Expression analysis of genes in GA MST pathway

Biosynthesis pathway

In this study, 20 genes, including 12 GA20ox and 8 GA3ox, were involved in GA biosynthesis pathway (Fig. 3a and b; Additional file 1: Table S1), are particularly important for control of bioactive GA levels. Among 12 VvGA20oxs, VvGA20ox1–1 showed the highest expression levels at GBS with significant expression levels in all four stages. VvGA20ox1-B1, VvGA20ox1-B2, VvGA20ox1–2, and VvGA20ox2–1showed no expression during SBD. Some members of VvGA20oxs family showed significantly lower expression in VvGA20ox1–3, VvGA20ox2–2, VvGA20ox2–4, VvGA2ox3–1, and VvGA20ox. Similarly, among the 8 members of another significant enzyme GA3ox family, the expression of VvGA3ox4–1 was higher than that of VvGA3ox4–2 and VvGA3ox1–4. They showed the highest expression at GBS of berries, and its expression significantly decreased from GBS to BRS down to the lowest level, whereas other members only had slight or no expression during SBD.

Fig. 3
figure 3

Expression of GA MST pathway genes during berry development. a Gene expression was measured by RPKM (reads per kilo base of exon model per million reads). b Heat map showing changes in transcript levels of GA MST pathway genes expressed in berries, which was measured by log2 Ratio

Inactivation pathway

VvGA2oxs is an enzyme used in GA inactivation pathway. Here, 11 VvGA2ox genes were identified in berries. VvGA2ox1–1, of which VvGA2ox1–1, VvGA2ox2–1, VvGA2ox8–3, VvGA2ox8–4, and VvGA2ox, exhibited the highest expression and showed significant variation during the four stages of berry development (Fig. 3a and b; Additional file 1: Table S1). They had the highest expression at GBS. Nevertheless, VvGA2ox2–2, VvGA2ox2–3, VvGA2ox8–1, and VvGA2ox8–2 were almost not expressed or changed in the four stages of berry development.

Signal transduction pathway

One VvGID1B gene (GA receptor) was identified and had the highest and lowest expression levels at GBS and BVS, respectively (Fig. 3a). We identified the two members of GID2 family in grape berries that exhibited the expression peak at GBS. VvGID2–1 gradually decreased from the SHS to BRS, whereas VvGID2–2 exhibited the lowest expression at SHS. We identified seven genes of DELLA family including VvGAI1–1, VvGAI1–2, VvGAI1–3, VvGAI1–4, VvGAI1–5, VvRGL1, and VvSLR1. VvGAI1–4 had the highest expression, followed by VvSLR1 and VvGAI1–5, and the remaining genes had lower expressions through grape berry developmental process; VvGAI1–4, VvSLR1, and VvGAI1–5 predominantly expressed especially at GBS (Fig. 3a and b; Additional file 1: Table S1).

Regulatory factors

We revealed that two positive action components VvGAMYB and VvPKL were primarily expressed at GBS in berries, whereas another four negative action components VvSPY1, VvSPY2, and VvbHLH137 were also detected in berries at four stages, and only VvSHI possessed low expression levels throughout the four stages in berries (Fig. 3a and b; Additional file 1: Table S1). A total of 10 VvmiRNAs, such as VvGA3oxs for VvmiR3633a, VvGIB1B for VvmiR396c/d, VvGAI1–2 for VvmiR477, VvGAMYB1 for VvmiR159c and VvmiR319b/c/e/f/g, and VvGAMYB2 for VvmiR319b/c/e/f/g, may be involved in the modulation of GA signal pathway by mediating their target genes. These VvmiRNAs and their target genes exhibited the opposite expression trends in berries, indicating that these VvmiRNAs possessed negative regulatory roles on these potential target genes during SBD (Fig. 3a and b; Additional file 1: Table S1). Moreover, among these VvmiRNAs, VvmiR3633a had the highest expression in SHS berries, whereas the remaining ones were slightly expressed in berries. The target gene VvGID1B for VvmiR396c/d exhibited the highest expression also at SHS, implying that VvmiR3633a may repress GA biosynthesis at SHS by modulating the expression level of VvGA3ox1–3. Given that the VvmiR396c/d had low expression level, resulting into the high expression of VvGID1B may strengthen the GA signal receptivity.

Expression characterization of genes in multihormone MST pathways

From our dataset, we also identified the 62, 36, and 73 genes in auxin, CK, and ABA MST pathway, respectively. VvYUC10–4, VvTAR4–1, VvAUX, VvARF2–2, and VvSAUR2 of auxin MST pathway, VvNCED1and VvPP2C49 of ABA MST pathway, and VvCKX5 of CK MST pathway exhibited higher expression levels than other members of their corresponding gene families (Fig. 4; Additional file 2: Table S2).

Fig. 4
figure 4

The crosstalk of GA with other hormones, like auxin, ABA, and CK. a Gene expression was measured by RPKM (reads per kilo base of exon model per million reads). b Heat map showing changes in transcript levels of hormones MST pathway genes expressed in berries, which was measured by log2 Ratio

Auxin MST pathway

Both VvYUC10–4 and VvTAR4–1 key enzymes in endogenous auxin biosynthesis showed the increased expression peak at GBS and dramatically decreased at BVS. VvARF2–2, which is a transcriptional regulator repressing a series of auxin response, exhibited the highest expression gene of 18 ARF gene members. Most of them displayed the highest expression at GBS and then dramatically decreased until BVS of berries. Similar to VvARFs, AUX/IAA protein was also abundant at GBS. Another important element in auxin MST pathway is VvSAUR, and its transcription is dependent on the level of active auxin. Different from VvARFs and AUX/IAA proteins, VvSAUR2 showed high transcription levels through berry development process.

ABA MST pathway

VvNCED1 and VvNECD2–1 genes, which are rate-limiting enzymes for ABA biosynthesis, are highly expressed at GBS. In addition, seven VvCYP707As were identified in this work for ABA metabolism, and five of them were abundant at GBS. Five ABA receptors were found, but only VvPYL9 was highly expressed in grape berry and primarily at GBS. Then, 51 VvPP2C gene members were identified from our database. VvPP2C25–1 and VvPP2C49 were highly expressed than others, and 37 members of PP2C gene family expressed at GBS as well. VvABI5s is primarily expressed at GBS and is higher than other stages during SBD.

CK MST pathway

In CK MST pathway, compared with the other six members of CKX family, VvCKX5 displayed the highest expression levels in berry. A similar trend forVvCKX3–2, VvCKX5, and VvCKX7 was detected at GBS and then dramatically decreased until BRS. Only VvLOG1–2 showed highest levels among the 10 LOG members at GBS. VvCKXs was highly expressed than VvLOGs at GBS, so we presume that cytokinin may primarily be accumulated during SHS, BVS, and BRS. These results are inconsistent with the variation of endogenous CK content during SBD (Fig. 1d).

Organ-specific expression pattern analysis of genes in hormone MST pathway at the global transcriptome level of grape berries

To evaluate the validity of our sequencing results, based on the data from V. vinifera cv. Corvina global gene expression atlas from the GEO DataSets (GSE36128), which comprising 54 grape tissues, organs or developmental stages [9]. The 64 gene tissue-specific expression patterns during seed, berry skin, berry pericarp, and berry flesh development were identified in this work (Fig. 5; Additional file 3: Table S3). Figure 5 shows that 8, 1, 3, and 2 gene expression patterns in seed, berry skin, pericarp, and flesh were similar to our data, respectively. Additionally, 50 genes displayed the same trend in at least two tissues from our database, indicating that multitissues regulated these gene expression. We found genes expressed differently in the same period of different tissues due to their function in various developmental process. For example, VvGA20ox1–1 and VvGA3ox4–1 were detected low in veraison and ripe berry in our data, whereas both were highly expressed at veraison and ripe period in berry skin and flesh from the GEO DataSets. It supposed that accumulation of anthocyanin and glucose and fructose are relative to GA, thus two genes highly expressed for GA biosynthesis at two periods.

Fig. 5
figure 5

Validation of temporal and spatial expression patterns of genes involved in hormones MST pathway. Data from global transcriptomic at four developmental stages of seed (Veraison, Mid-ripening, Fruit set, Post-fruit set), berry skin (Post-fruit set, Veraison, Mid-ripening, Ripeing), berry pericarp (Fruit set, Post-fruit set, Veraison, Ripening) and berry flesh (Post-fruit set, Veraison, Mid-ripening, Ripening) compared with expression at four stages (GBS, SHS, BVS and BRS) from RNA-seq database

Data analysis of GA MST pathway genes between RT-qPCR and Illumina RNA-seq

To validate expression patterns obtained from RNA-Seq, six genes (i.e., VvGA20ox1–1, VvGA3ox4–1, VvGA2ox1–1, VvGID1B, VvGAI1–4, and VvSLR1) that were the core genes in GA MST pathway and highly expressed in green berry were selected to validate by using RT-qPCR analysis (Fig. 6). The expression profiles of RT-qPCR were a similar tendency with RNA-Seq results, indicating that the data from RNA-Seq could represent genes relative expression levels at different development stage in grape berry. The relative expression levels of VvGA20ox1–1, VvGA3ox4–1, VvGA2ox1–1, VvGID1B, VvGAI1–4, and VvSLR1 were highly detected at GBS and dramatically decreased at SHS from Illumina sequencing. Data exhibited that the six genes showed the highest expression at 10 days after anthesis (DAA) or 20 DAA in RT-qPCR results, which were approximately consistent with Illumina sequencing. This difference may be caused by different species with slightly different time points during the development process.

Fig. 6
figure 6

Data analysis of GA MST pathway genes between RT-qPCR (10 DAA, 20 DAA, 30 DAA and 50 DAA) and Illumina RNA-seq (10 DAF and 40 DAF) in grape berry


According to previous reports, GA regulatory networks are involved in organogenesis and development of fruit in tomato [10] and strawberry [11]. Moreover, genes involved in GA MST pathway are associated with fruit development in pepper [12], pea [13], tomato [14], and Arabidopsis [15]. Few studies [16] have been conducted on the GA MST and GA-mediated multihormone MST pathway mechanisms in grape. Hitherto, no reports are available on the identification and comparative profiling of GA mediated pathway and multihormones like auxin, ABA, and CK mediated pathway genes during SBD in grape.

Genes in GA MST pathway during SBD

Gene duplication events are defined as either tandem or segmental duplication, which have been identified as two of the main causes for genomic rearrangements and expansions [17]. Holub [18] reported that a tandem duplication event involves three or more copies in chromosomal regions of less than 200 kb. Three tandem duplication event regions on Chr4, 9, and 19 were found in our present study. Moreover, three segregation duplication events were also identified, indicating that some GA biosynthesis genes (i.e., VvGA3oxs and VvGA20oxs) were possibly generated by gene duplication. Overall, the collinearity events can also support the GA biosynthesis gene evolutionary relationship and functional prediction. Based on the phylogenetic tree, we found that the more similar the functions of genes are, the closer they are in relationship. The closer evolutionary relationship may explain the highly conserved motif and large variation in the structures of genes in GA MST pathway, indicating that the grape genome changed significantly during its extensive evolutionary processes.

VvGA3oxs and VvGA20oxs are particularly important in controlling bioactive GA levels [19], and VvGA2oxs modulate the endogenous GA balance by GA inactivation. In the present study, VvGA20oxs, VvGA3oxs and VvGA2oxs were multicopy genes and exhibited temporal-specific expression pattern in berries, which agree with the studies on rice [20] and Arabidopsis [21]. Field observations and few physiological studies [22] point out that grape SBD are strictly correlated, and seeds are generally a metabolic center of phytohormones [23]. From our studies, grape seeds are one of the organs for endogenous GA biosynthesis, whereas GBS and SHS are important phases for grape SBD. Expression analysis of GA genes indicated that VvGA20ox1–1and VvGA3ox4–1 may be key factors in endogenous GA biosynthesis during SBD, especially at GBS. Combined with high expression level of VvGA2ox1–1at GBS, it may be the key factor in modulating the endogenous GA balance by GA inactivation at GBS. Simultaneously, GBS and SHS are the crucial phases for endogenous GA metabolism process, consistent with endogenous GA contents, which increase from GBS to SHS in berries and reach the expression peak at SHS. This phenomenon may be derived from the fact that seeds are the important sites for endogenous GA biosynthesis, whereas the period from GBS to SHS is significant for the development of seeds.

DELLA proteins, which are GA signal pathway receptors, are the core acting elements of GA MST pathway [24]. Our study showed that GBS is a key stage of responding to GA and GA signal transduction during SBD. VvGAI1–4 and VvSLR1 may also be crucial core acting factors of GA signal transduction at GBS. GID1B, which is a GA receptor, plays a key role in switching on GA signal transduction. Given that VvGID1B exhibits high expression at GBS, GBS may be the active stage for strong response to GA signal. Although previous evidence showed that two putative GA receptors increased during grape berry development [25], this discrepancy may be caused by different grape varieties used in the two studies. VvGID2 is a homology with rice F-box protein GID2 [19], which may be required for GA-induced degradation of DELLA via the proteasome pathway. In the present work, VvGID2–1 and VvGID2–2 may play important roles at GBS, and VvGID2–2 may also function at BRS. GBS and SHS are significant phases for GA biosynthesis, inactivation, and signal transduction of grape berry.

Regulator genes in GA MST pathway during SBD

GA signal can be positively or negatively modulated by many regulators like transcription factors and other regulatory genes. VvGAMYB [26], VvSHI [27], and VvPKL [28], which act downstream of DELLA, are identified as positively acting components in Arabidopsis. VvGAMYB, VvSHI, and VvPKL were expressed at low levels throughout the four stages in the present study. VvSHI and VvPKL play important roles in flowering regulatory network, leaf development, or repressing expression of embryonic traits but not in seed and fruit development [27, 28], whereas VvGAMYB is involved in GA–DELLA (VvSLR1)–VvmiR159c–VvGAMYB signal pathway, which modulate grapevine floral development and GA-induced grapevine parthenocarpy [2]. Similar to AtSPY [29], VvSPY2 acts as GA signaling repressor in grape berry as well. Additionally, VvbHLH137 is a DELLA direct target [24] and possesses high expression levels in berries as well, indicating that VvbHLH137 may act as a crucial DELLA downstream target gene involved in SBD. Our results showed that VvSPY1, VvSPY2, and VvbHLH137 may be crucial regulatory factors in modulation of GA signal transduction during grape SBD.

Additionally, many GA-related miRNAs and their targets have been identified in orange [30] and Oryza sativa [1], which can facilitate the exploration of miRNA roles in GA MST pathway in grape berries. A functional interaction between miR159a and its target GAMYB in fruit development has been demonstrated in grape [29] and tomato [31]. Moreover, an increasing number of studies confirmed that miR319b [32], miR477 [33], and miR396 [34] are fruit development-related miRNAs, and miR159, miR319, miR477, and miR396 that responded to GA are also proven [35]. Overall, VvmiR159, VvmiR319, VvmiR477, and VvmiR396 may be induced by GA and involved in SBD. Therefore, transcription factor and miRNAs may contribute to maintain GA homoeostasis between GA synthesis and signal transduction process.

Genes in multihormone MST pathways during SBD

Auxin acts as a positive regulator during fruit set and growth and negative regulator during fruit maturation and ripening [36]. In the present study, IAA content was highest at SHS and decreased until BRS. GBS was a key phase for VvYUC10–4and VvTAR4–1 involved in auxin biosynthesis, with auxin accumulation until SHS possibly reaching the highest level. Auxin produced by the seed in growing fruit acts to prevent ripening and premature dispersal before the seeds are fully developed [37]. Similarly, IAA content of berries decreased from SHS when seeds were fully developed. Furthermore, GBS was also an important phase for genes expressing during auxin signal transduction, such as VvARF2–2 and AUX/IAA protein. In tomato, auxin indirectly regulates ARF activity by promoting turnover of Aux/IAA proteins [38]. This promotion allows the ARFs to become active and impose their regulatory influence on the expression levels of auxin-responsive genes [38]. Thus, similar to tomato [39, 40], an ARF–IAA may interact to mediate auxin signaling and be directly involved in grape SBD. We indicated that VvSAUR may be associated with a new function in stimulating grape berry ripening. VvSAUR2 especially showed high expression during BVS and BRS berry, which was different from ZmSAUR2 involving in auxin-mediated cell elongation in maize [41]. A rice OsSAUR39 gene negatively regulates auxin synthesis and transport [42]. VvSAUR2 was similar to OsSAUR9, whose expression pattern was opposite to active auxin level in berry. This phenomenon may be caused by a complex network for VvSAURs responding auxin in grape.

In previous study [43], ABA can be considered as a candidate ripening control factor in grape, but we considered that ABA may also be involved in regulating grape seed development. ABA is important during fruit development [44], ripening [45], and seed development [46]. Traditionally, VvNCED1genes are expressed only at the beginning of ripening when ABA accumulation is high and ABA content is low in unripe fruit, increasing during fruit ripening [43]. Nevertheless, in the present study, a contradictory conclusion was drawn that ABA levels were much higher in green berries than in ripening berries (Fig. 1d). Similar to apple [44], ABA content also decreases from young fruit to older fruit and then increases during the ripening process in apple fruits. The highest ABA content in green berries was detected, implying that ABA may function as an indispensable hormone regulating seed development. Furthermore, VvNCEDs were noted to be at a higher level at GBS. NCED gene encodes a key rate-limiting enzyme in ABA biosynthesis [43], and CYP707A is a key enzyme for ABA metabolism. Both were abundantly detected at GBS, but VvNCEDs expression was significantly higher than VvCYP707As expression, suggesting that VvNCEDs played a stronger role than VvCYP707s at GBS. The only reasonable explanation is that ABA levels required for seed development are higher than those required for ripening process in grape. In Arabidopsis [47, 48], two peaks of ABA accumulation appear in the mid and late stages during seed development, but only one peak of ABA level at GBS was observed in this study. This result may be caused by sampling times or different species. Furthermore, VvPP2C25–1 and VvPP2C49 may be the key factors of PP2C family in negatively regulating endogenous ABA content and response during grape SBD, especially at GBS.

Generally, cytokinin activities were found to peak shortly in young fruit progressing through the cell division phase, whereas activities were low or undetectable in ripening fruit. However, recent studies report of greatly increased cytokinin in the flesh of ripening kiwi fruit [49] and grapes [50], suggesting that cytokinin is also implicated in the control of ripening-related processes. In the present study, ZR levels reached two peaks at SHS, being active during cell division and being ripening phase at BRS. In grape [51], genes that regulated cytokinin biosynthesis (IPTs), activation (LOGs), and degradation (CKXs) are found to be expressed in four stages of berry development. Previous studies showed that VvIPTs are also found in other grape organs [51], in agreement with reports from Arabidopsis [52], tomato [53], and soybean [54]. The irreversible degradation of cytokinins by CKXs enzymes in grape berries is restricted to early developmental stages [24, 55]. Additionally, as previously reported [24, 55], VvCKX5 shows the highest expression at GBS and then exhibits progressive decrease of VvCKX5 transcripts, which may contribute to the large increase in isopentenyladenine concentrations in post-veraison of grape berries [56, 57].

Model of GA-mediated multihormone regulatory networks of SBD in grape

Many studies related to one or two hormones regulating berry development have recently been reported [1, 53, 58, 59]. Nevertheless, few pertinent evidence are available on hormonal crosstalk during berry development in grape. A complex berry development regulatory network of GA downstream plant hormone signaling, and cross talk were demonstrated in this study to clarify the key nodes and nexuses in grape berries (Fig. 7). In the present study, biosynthesis enzymes GA20oxs andGA3oxs and GA receptor GID1B were highly expressed at GBS, meanwhile high expression levels of repressor DELLA proteins of GA MST pathway was also detected at this stage. Furthermore, GA3ox1, GA20ox2, and GID1Bmay be direct DELLA targets in Arabidopsis [24]. Thus, we supposed that a feedback mechanism existed as VvGAI1–4-VvGA20ox, VvGAI1–4-VvGA3ox, and VvGAI1–4-VvGID1B to maintain the balance of GA content in regulating grape berry development. Furthermore, other hormones [60, 61] influence GA levels by regulating VvGA20oxs and VvGA3oxs expression levels. Overall, GA20oxs, GA3oxs, and GA2oxs are not merely core acting enzymes in GA metabolism, but upstream factors also respond to other hormones in GA MST pathway (Fig. 7). In addition, the crosstalk between GA and IAA [62], ABA [63], CK [61] in regulating SBD is also proved [63]. Many studies have demonstrated that bioactive GA controls plant growth and development, at least in part, by depressing the repressive effect of DELLA proteins [64]. Additionally, interactions as GA–auxin [58] and GA–CK [65] hormone signal are also mediated by DELLA proteins to control various processes in plant. GA may act downstream of auxin involved in early fruit development of Arabidopsis [66] and tomato [36]. Additionally, ABA also regulates tomato fruit set along with GA [66]. Different from the active ABA accumulation in the mid and late stages during seed development [43], GA biosynthesis appears to be more active in the early stage of seed development [67]. Thus, further functional studies are needed to validate the networks of GA and multihormone in grape SBD. This regulatory network could facilitate dissecting the molecular mechanisms underlying genes of other hormones MST pathway, respond to GA, and provide insights into the relationship between hormones and SBD in grape.

Fig. 7
figure 7

Schematic representation of plant hormone metabolism and signaling-pathway gene network during SBD


In the present study, total endogenous GA3 content significantly decreased during SBD, and a total of 48 related genes in GA M (31) and ST (17) pathway were identified by using transcriptome sequencing. Most genes of VvGA20ox, VvGA2ox, and VvGA3ox family in GA M pathway expressed variously during SBD, yielding a metabolism flux toward GA biosynthesis. In GA M pathway, out of 31 genes, VvGA20ox1–1, VvGA3ox4–1, and VvGA2ox1–1 may be the major factors at GBS in interacting GA accumulation rate. Furthermore, VvGA20ox1–1 and VvGA3ox4–1 were more active than VvGA2ox1–1, being consistent with the fact that GA was synthesized for seed development. The visible correlation between endogenous GA3 content and gene expression profiles suggested that transcriptional regulation of GA biosynthesis pathway genes is a key mechanism of GA accumulation at the SHS. We revealed feedback regulation as VvGA3oxs-VvGAI1–4, VvGA2oxs-VvGAI1–4, and VvGID1B-VvGAI1–4, maintaining the balance of GA3 content in berries. Moreover, 11 miRNAs may be involved in modulation of GA MST pathway by mediating their target genes, such as VvGA3ox, VvGID1B, and VvGAMYB. Moreover, we found that crosstalk between GA and auxin, ABA and CK may modulate the complex process during SBD by the interaction network of genes of multihormone pathway. Lastly, based on the expression characterization of multihormone MST pathway genes, a putative schematic model of GA-mediated multihormone regulatory network during SBD was proposed, which may provide novel insight to explore GA-mediated regulatory networks during SBD in grape. Our results may provide novel insight to explore GA-mediated regulatory networks during SBD in grape.


Plant material

Three-year-old ‘Fujiminori’ grape trees grown in Nanjing, China (N32°02′12.77′′, E118°37′33.25′′) were chosen as the experimental material. The plant materials were grown under common field conditions at the Jiangsu Vocational College of Agriculture and Forestry grape farm, Jurong, China (our long-term partners). Berry samples were collected at different stages: green berry stage (GBS) [10 days after flowering (10 DAF)], stone-hardening stage (SHS) (40 DAF), berry veraison stage (BVS) (65 DAF) and berry ripening stage (BRS) (90 DAF) throughout the growing season. A total of 12 samples, comprising four stages berry, and including three biological replicates, were sequenced. RNA for Illumina sequencing was purified from 40 uniform and average-sized berries with seeds sampled from 20 clusters to study a representative biological selection of transcripts at each stage.

Total RNA extraction, construction of cDNA library, and Illumina deep sequencing

Total RNA of different stages (i.e., GBS, SHS, BVS, and BRS) berry samples was extracted using TRIzol reagent (Invitrogen, Carlsbad, CA, USA). Sequencing libraries were generated using NEBNext® UltraTM RNA Library Prep Kit for Illumina® (NEB, USA) following manufacturer’s recommendations. The transcriptome were sequenced using Illumina HiSeq™ 2500 Shanghai Hanyu Biotechnology Company (Shanghai, China) [68].

Accession code

The RNA-seq data have been deposited into the NCBI under the accession number SRP068911 ( and GSE153169 (

Identification and analysis of the GA MST and multihormone MST pathway genes

GA MST pathway and multihormone MST pathway genes were identified via BLAST P search from NCBI using Arabidopsis gene sequences as queries. We gained the grape genome and a set of annotated gene sequences from Grape genome data Get Data: Grapevine V1 Annotation. And a survey was conducted to affirm these genes by functional annotation from grape transcriptome and confirm the reliability of the initial results (RNA-Seq data accession SRP068911) [69].

Morphological, physiological, and biochemical variations during SBD

The gene location in the chromosome of each GA MST pathway genes was obtained from the grape genome ( Genome Browser/Vitis/). As Leng [69] described, gene duplication events was detected using MCScanX software ( We used protein sequences to construct phylogenetic trees in MEGA 6.0 software using the neighbor-joining method with 1000 bootstrap replicates [70], and intron/exon structures were predicted using the Gene Structure Display Server (, and conserved domains were searched using SMART ( Motifs were searched using the MEME 5.05 online program ( The optimized parameters of MEME were employed as follows: number of repetitions, any; maximum number of motifs, 15; and the optimum width of each motif, between 6 and 50 residues.

Examination of endogenous GA3, IAA, ZR, and ABA

Berries of four stages, G, SH, V, and R, were chosen. Endogenous GA3, IAA, ZR, and ABA levels were determined by using an enzyme-linked immunosorbent assay kit (ELISA) (Rapidbio, USA), according to the manufacturer’s instructions and as described in previous study [71]. Each berry with seed was sampled from 40 berries of 20 clusters as replicates.

Expression analysis of genes of GA and multihormone MST pathway

Differential expression was analyzed and calculated using the edgeR R packkage [72]. If transcripts with “FDR < 0.001” and “|log2 fold-change (|log2FC|) ≥ 1”, they will be identified as significant differences in transcription level. And transcripts with |log2FC| < 0.25 were supposed to have no change, while transcripts with 0.25 < |log2FC| < 1 were considered as “changed slightly” in expression level [69].

RT-qPCR validation in different grape varieties

RT-qPCR was used to verify the expression patterns of GA MST pathway genes from RNA-Seq. Total RNA samples of four stages (i.e., 10, 20, 30, and 50 DAA) of Vitis vinifera × V. labrusca (‘Jingya’ and ‘Izunishiki’) and V. viniferal. (‘Queenora Seedless’ and ‘Madeleine Angenine’) were extracted using our modified cetyltrimethyl ammonium bromide (CTAB) method [73]. Purified RNA samples were reverse transcribed using the PrimeScript RT Reagent Kit with gDNA Eraser (Takara, Dalian, China). Gene specific primers were designed using Primer3 software ( (Additional file 4: Table S4). For each reaction, a total volume of 20 μl contained 10 μl of 2 × SYBR green reaction mix, 2.0 μl of diluted cDNA, and 0.2 μM of each primer. And three replicates of each cDNA sample were performed and normalized according to the internal control. The relative gene expression data were analyzed using the 2−ΔΔCT method [74].

Availability of data and materials

The RNA-seq data have been deposited into the NCBI under the accession number SRP068911 ( and GSE153169 ( All data generated or analyzed during this study are included in this published article and its additional files.



Abscisic acid




Auxin–response repressor protein/Indole Acetic Acid


Auxin response factor


Cytokinin dehydrogenase


Gibberellin 2-oxidase


Gibberellin 20-oxidase


Gibberellin 3-oxidase


Gibberellin insensitive dwarf1


9-cis-epoxycarotenoid dioxygenase




Protein phosphatase 2C


Small auxin-upregualted RNAs


Short internodes




Tryptophan aminotransferase




  1. Tang YY, Liu HH, Guo SY, Wang B, Li ZT, Chong K, Xu YY. OsmiR396d miRNA affects gibberellin and brassinosteroid signaling to regulate plant architecture. Plant Physiol. 2018;176:946–59.

    PubMed  CAS  Google Scholar 

  2. Wang C, Sudisha J, Zhang WY, Abdelrahman M, Fang JG. Spatio-temporal expression of miRNA159 family members and their GAMYB target gene during the modulation of gibberellin-induced grapevine parthenocarpy. J Exp Bot. 2018;69:3639–50.

    PubMed  CAS  Google Scholar 

  3. Cheng C, Xu XZ, Singer SD, Li J, Zhang HJ, Gao M, Wang L, Song JY, Wang XP. Effect of GA3 treatment on seed development and seed related gene expression in grape. PLoS One. 2013;8:e80044.

    PubMed  PubMed Central  CAS  Google Scholar 

  4. Zhang C, Tanabe K, Tamura F, Itai A, Yoshida M. Rolesof gibberellins in increasing sink demand in Japanese pear fruit during rapid fruit growth. Plant Growth Regul. 2007;52(2):161–72.

    CAS  Google Scholar 

  5. Chen JJ, Xie JH, Duan YJ, Hu HG, Li WM. Genome-wide identification and expression profiling reveal tissue-specific expression and differentially-regulated genes involved in gibberellin metabolism between Williams banana and its dwarf mutant. BMC Plant Biol. 2016;16:123.

    PubMed  PubMed Central  Google Scholar 

  6. Zhao HJ, Dong J, Wang T. Function and expression analysis of gibberellin oxidases in apple. Plant Mol Biol Report. 2010;28:231–8.

    CAS  Google Scholar 

  7. Reid JB, Davidson SE, Ross JJ. Auxin acts independently of DELLA proteins in regulating gibberellin levels. Plant Signal Behav. 2011;6:406–8.

    PubMed  PubMed Central  CAS  Google Scholar 

  8. Luo DL, Ba LJ, Shan W, Kuang JF, Lu WJ, Chen JY. Involvement of WRKY transcription factors in ABA-induced cold tolerance of Banana fruit. J Agric Food Chem. 2017;65:3627–2635.

    PubMed  CAS  Google Scholar 

  9. Fasoli M, Dal Santo S, Zenoni S, Battista Tornielli G, Farina L, Zamboni A, Porceddu A, Venturini L, Bicego M, Murino V, Ferrarini A, Delledonne M, Pezzotti M. The grapevine expression atlas reveals a deep Transcriptome shift driving the entire plant into a maturation program. Plant Cell. 2012;24:3489–505.

    PubMed  PubMed Central  CAS  Google Scholar 

  10. De JM, Mariani C, Vriezen WH. The role of auxin and gibberellin in tomato fruit set. J Exp Bot. 2009;60:1523–32.

    Google Scholar 

  11. Csukasi F, Osorio S, Gutierrez JR, Kitamura J, Giavalisco P, Nakajima M, Fernie AR, Rathjen JP, Botella MA, Valpuesta V, Medina-Escobar N. Gibberellin biosynthesis and signalling during development of the strawberry receptacle. New Phytol. 2011;191:376–90.

    PubMed  CAS  Google Scholar 

  12. Tsaballa A, Pasentsis K, Tsaftaris AS. Τhe role of a Gibberellin 20-Oxidase gene in fruit development in pepper (Capsicum annuum). Plant Mol Biol Report. 2012;30:556–65.

    CAS  Google Scholar 

  13. Ozga JA, Yu J, Reinecke DM. Pollination-, development-, and auxin-specific regulation of gibberellin 3β-hydroxylase gene expression in pea fruit and seeds. Plant Physiol. 2003;131:1137–46.

    PubMed  PubMed Central  CAS  Google Scholar 

  14. Rebers M, Kaneta T, Kawaide H, Yamaguchi S, Yang YY, Imai R, Sekimoto H, KAmiya Y. Regulation of gibberellin biosynthesis genes during flower and early fruit development of tomato. Plant J. 1999;17:241–50.

    PubMed  CAS  Google Scholar 

  15. Fuentes S, Ljung K, Sorefan K, Alvey E, Harberd NP, Østergaard L. Fruit growth in Arabidopsis occurs via DELLA-dependent and DELLA-independent gibberellin responses. Plant Cell. 2012;24:3982–96.

    PubMed  PubMed Central  CAS  Google Scholar 

  16. Chai LJ, Li YM, Chen SW, Perl A, Zhao FX, Ma HQ. RNA sequencing reveals high resolution expression change of major plant hormone pathway genes after young seedless grape berries treated with gibberellin. Plant Sci. 2014;229:215–24.

    PubMed  CAS  Google Scholar 

  17. Guo CL, Guo RR, Xu XZ, Gao M, Li XQ, Song JY, Zheng Y, Wang XP. Evolution and expression analysis of the grape (Vitis vinifera L.) WRKY gene family. J Exp Bot. 2014;65:1513–28.

    PubMed  PubMed Central  CAS  Google Scholar 

  18. Holub EB. The arms race is ncient history in Arabidopsis, the wildflower. Nat Rev Genet. 2001;2(7):516–27.

    PubMed  CAS  Google Scholar 

  19. Sasaki A, Itoh H, Gomi K, Ueguchi-Tanaka M, Ishiyama K, Kobayashi M, Jeong DH, An G, Kitano H, Ashikari M, Matsuoka M. Accumulation of phosphorylated repressor for gibberellin Signaling in an F-box mutant. Science. 2003;299:1896–8.

    PubMed  CAS  Google Scholar 

  20. Boonkaew T, Mongkolsiriwatana C, Vongvanrungruang A, Srikulnath K, Peyachoknagul S. Characterization of GA20ox genes in tall and dwarf types coconut (Cocos nucifera L.). Genes Genomics. 2018;40:735–45.

    PubMed  CAS  Google Scholar 

  21. Du Q, Li CL, Li DQ, Lu SF. Genome-wide analysis, molecular cloning and expression profiling reveal tissue specifically expressed, feedback-regulated, stress-responsive and alternatively spliced novel genes involved in gibberellin metabolism in Salvia miltiorrhiza. BMC Genomics. 2015;16:1087.

    PubMed  PubMed Central  Google Scholar 

  22. Rasori A, Ziliotto F, Botton A, Bonghi C, Ramina A. Hormonal cross talk between fruit and seed throughout development and ripening in peach. Acta Hortic. 2010;884:53–60.

  23. Shiozaki S, Ogata T, Horiuchi S. Endogenous polyamines in the pericarp and seed of the grape berry during development and ripening. Sci Hortic. 2000;83:33–41.

    CAS  Google Scholar 

  24. Zentella R, Zhang ZL, Park M, Thomas SG, Endo A, Murase K, Fleet CM, Jikumaru Y, Nambara E, Kamiya Y, Sun TP. Global analysis of DELLA direct targets in early gibberellin signaling in Arabidopsis. Plant Cell. 2007;19:3037–57.

    PubMed  PubMed Central  CAS  Google Scholar 

  25. Deluc LG, Grimplet J, Wheatley MD, Tillett RL, Quilici DR, Osborne C, Schooley DA, Schlauch KA, Cushman JC, Cramer GR. Transcriptomic and metabolite analyses of cabernet sauvignon grape berry development. BMC Genomics. 2007;8:429.

    PubMed  PubMed Central  Google Scholar 

  26. Achard P, Herr A, Baulcombe DC, Harberd NP. Modulation of floral development by a gibberellin-regulated microRNA. Development. 2004;131:3357–65.

    PubMed  CAS  Google Scholar 

  27. Baylis T, Cierlik I, Sundberg E, Mattsson J. SHORT INTERNODES/STYLISH genes, regulators of auxin biosynthesis, are involved in leaf vein development in Arabidopsis thaliana. New Phytol. 2013;197:737–50.

    PubMed  CAS  Google Scholar 

  28. Henderson JT, Li HC, Rider SD, Mordhorst AP, Romero-Severson J, Cheng JC, Robey J, Sung RZ, Vries SCD, Ogas J. PICKLE acts throughout the plant to repress expression of embryonic traits and may play a role in gibberellin-dependent responses. Plant Physiol. 2004;134:995–1005.

    PubMed  PubMed Central  CAS  Google Scholar 

  29. Jacobsen SE, Olszewski NE. Mutations at the SPINDLY locus of Arabidopsis alter gibberellin signal transduction. Plant Cell. 1993;5:887–96.

    PubMed  PubMed Central  CAS  Google Scholar 

  30. Liu YL, Wang L, Chen DJ, Wu XM, Huang D, Chen LL, Li L, Deng XX, Xu Q. Genome-wide comparison of microRNAs and their targeted transcripts among leaf, flower and fruit of sweet orange. BMC Genomics. 2014;15:695.

    PubMed  PubMed Central  Google Scholar 

  31. Silva EMD, Silva GFFE, Bidoia DB, Azevedo MDS, Jesus FAD, Pino LE, Peres LEP, Carrera E, López-Díaz I, Nogueira FTS. microRNA159-targeted SlGAMYB transcription factors are required for fruit set in tomato. Plant J. 2017;92:95–109.

    PubMed  Google Scholar 

  32. Saminathan T, Bodunrin A, Singh NV, Devarajan R, Nimmakayala P, Jeff M, Aradhya M, Reddy UK. Genome-wide identification of microRNAs in pomegranate (Punica granatum L.) by high-throughput sequencing. BMC Plant Biol. 2016;16:122.

    PubMed  PubMed Central  Google Scholar 

  33. Liu M, Pirrello J, Chervin C, Roustan JP, Bouzayen M. Ethylene control of fruit ripening: revisiting the complex network of transcriptional regulation. Plant Physiol. 2015;169:2380–90.

    PubMed  PubMed Central  CAS  Google Scholar 

  34. Leng XP, Fang JX, Pervaiz T, li Y, Wang XM, Liu D, Zhu XD, Fang JG. Characterization of expression patterns of grapevine microRNA family members using microRNA rapid amplification of complementary DNA ends. Plant Genome. 2015;8(2):1–9.

    Google Scholar 

  35. Han J, Fang JG, Wang C, Yin YL, Sun X, Leng XP, Song CN. Grapevine microRNAs responsive to exogenous gibberellin. BMC Genomics. 2014;15:111.

    PubMed  PubMed Central  CAS  Google Scholar 

  36. Pattison RJ, Csukasi F, Catalá C. Mechanisms regulating auxin action during fruit development. Physiol Plant. 2014;151:62–72.

    PubMed  CAS  Google Scholar 

  37. Sundberg E, Østergaard L. Distinct and dynamic auxin activities during reproductive development. Cold Spring Harb Perspect Biol. 2009;1:a001628.

    PubMed  PubMed Central  Google Scholar 

  38. Goetz M, Vivian-Smith A, Johnson SD, Koltunow AM. AUXIN RESPONSE FACTOR8 is a negative regulator of fruit initiation in Arabidopsis. Plant Cell. 2006;18:1873–86.

    PubMed  PubMed Central  CAS  Google Scholar 

  39. Bassa C, Mila I, Bouzayen M, Audran-Delalande C. Phenotypes associated with down-regulation of Sl-IAA27 support functional diversity among aux/IAA family members in tomato. Plant Cell Physiol. 2012;53:1583–95.

    PubMed  CAS  Google Scholar 

  40. Hendelman A, Buxdorf K, Stav R, Kravchik M, Arazi T. Inhibition of lamina outgrowth following Solanum lycopersicum AUXIN RESPONSE FACTOR 10 (SlARF10) derepression. Plant Mol Biol. 2012;78:561–76.

    PubMed  CAS  Google Scholar 

  41. Knauss S, Rohrmeier T, Lehle L. The auxin-induced maize gene ZmSAUR2 encodes a short-lived nuclear protein expressed in elongating tissues. J Biol Chem. 2003;278:23936–43.

    PubMed  CAS  Google Scholar 

  42. Kant S, Rothstein S. Auxin-responsive SAUR39 gene modulates auxin level in rice. Plant Signal Behav. 2009;4:1174–5.

    PubMed  PubMed Central  Google Scholar 

  43. Zhang M, Leng P, Zhang GL, Li XX. Cloning and functional analysis of 9-cis-epoxycarotenoid dioxygenase (NCED) genes encoding a key enzyme during abscisic acid biosynthesis from peach and grape fruits. J Plant Physiol. 2009;166:1241–52.

    PubMed  CAS  Google Scholar 

  44. Bcrutci J. Effect of abscisic acid on sorbitol uptake in growing apple fruits. J Exp Bot. 1983;34:737–43.

    Google Scholar 

  45. Nakashima K, Yamaguchi-Shinozaki K. ABA signaling in stress-response and seed development. Plant Cell Rep. 2013;32:959–70.

    PubMed  CAS  Google Scholar 

  46. Finkelstein RR, Lynch TJ. The Arabidopsis Abscisic acid response gene ABI5 encodes a basic Leucine zipper transcription factor. Plant Cell. 2000;12:599–609.

    PubMed  PubMed Central  CAS  Google Scholar 

  47. Koornneef M, Hanhart CJ, Hilhorst HWM, Karssen CM. In vivo inhibition of seed development and reserve protein accumulation in recombinants of abscisic acid biosynthesis and responsiveness mutants in Arabidopsis thaliana. Plant Physiol. 1989;90:463–9.

    PubMed  PubMed Central  CAS  Google Scholar 

  48. Karssen CM, Brinkhorstvanderswan DLC, Breekland AE, Koornneef M. Induction of dormancy during seed development by endogenous abscisic acid: studies on abscisic acid deficient genotypes of Arabidopsis thaliana (L) Heynh. Planta. 1983;157:158–65.

    PubMed  CAS  Google Scholar 

  49. Pilkington SM, Montefiori M, Galer AL, Emery RJN, Allan AC, Jameson PE. Endogenous cytokinin in developing kiwifruit is implicated in maintaining fruit flesh chlorophyll levels. Ann Bot. 2013;112:57–68.

    PubMed  PubMed Central  CAS  Google Scholar 

  50. Böttcher C, Boss PK, Davies C. Increase in cytokinin levels during ripening in developing Vitis vinifera cv. Shiraz berries. Am J Enol Vitic. 2013;64:527–31.

    Google Scholar 

  51. Böttcher C, Burbidge CA, Boss PK, Davies C. Changes in transcription of cytokinin metabolism and signalling genes in grape (Vitis vinifera L.) berries are associated with the ripening-related increase in isopentenyladenine. BMC Plant Biol. 2015;15:223.

    PubMed  PubMed Central  Google Scholar 

  52. Miyawaki K, Matsumoto-Kitano M, Kakimoto T. Expression of cytokinin biosynthetic isopentenyltransferase genes in Arabidopsis: tissue specificity and regulation by auxin, cytokinin, and nitrate. Plant J. 2004;37:128–38.

    PubMed  CAS  Google Scholar 

  53. Matsuo S, Kikuchi K, Fukuda M, Honda I, Imanishi S. Roles and regulation of cytokinins in tomato fruit development. J Exp Bot. 2012;63:5569–79.

    PubMed  PubMed Central  CAS  Google Scholar 

  54. Le DT, Nishiyama R, Watanabe Y, Vankova R, Tanaka M, Seki M, Ham LH, Yamaguchi-Shinozaki K, ,Shinozaki K, Phan Tran LS. Identification and expression analysis of cytokinin metabolic genes in soybean under normal and drought conditions in relation to cytokinin levels. PLoS One 2012;7:e42411.

    PubMed  PubMed Central  CAS  Google Scholar 

  55. Pilati S, Perazzolli M, Malossini A, Cestaro A, Demattè L, Fontana P, Ri AD, Viola R, Velasco R, Moser C. Genome-wide transcriptional analysis of grapevine berry ripening reveals a set of genes similarly modulated during three seasons and the occurrence of an oxidative burst at vèraison. BMC Genomics. 2007;8:428.

    PubMed  PubMed Central  Google Scholar 

  56. Galuszka P, Popelková H, Werner T, Frébortová J, Pospíšilová H, Mik V, Köllmer I, Schmülling T, Frébort I. Biochemical characterization of cytokinin oxidases/dehydrogenases from Arabidopsis thaliana expressed in Nicotiana tabacum L. Plant Growth Regul. 2007;26:255–67.

    CAS  Google Scholar 

  57. Bilyeu KD, Cole JL, Laskey JG, Riekhof WR, Esparza TJ. Molecular and biochemical characterization of a cytokinin oxidase from maize. Plant Physiol. 2001;125:378–86.

    PubMed  PubMed Central  CAS  Google Scholar 

  58. Hu JH, Israeli A, Ori N, Sun TP. DELLA-ARF/IAA interaction mediates crosstalk between gibberellin and Auxin Signaling in controlling fruit initiation in Solanum lycopersicum. Plant Cell. 2018;30:1710–28.

    PubMed  PubMed Central  CAS  Google Scholar 

  59. Leclercq J, Ranty B, Sanchez-Ballesta MT, Li ZG, Jones B, Jauneau A, Pech JC, Latché A, Ranjeva R, Bouzayen M. Molecular and biochemical characterization of LeCRK1, a ripening-associated tomato CDPK-related kinase. J Exp Bot. 2005;56:25–35.

    PubMed  CAS  Google Scholar 

  60. Srivastava MK, Dwivedi UN. Delayed ripening of banana fruit by salicylic acid. Plant Sci. 2000;158:87–96.

    PubMed  CAS  Google Scholar 

  61. Lu L, Liang JJ, Zhu X, Xiao K, Li TZ, Hu JF. Auxin- and cytokinin-induced berries set in grapevine partly rely on enhanced gibberellin biosynthesis. Tree Genet Genomes. 2016;12:41.

    CAS  Google Scholar 

  62. Shinozaki Y, Hao SH, Kojima M, Sakakibara H, Ozeki-Iida Y, Zheng Y, Fei ZJ, Zhong SL, Giovannon JJ, Rose JKC, Okabe Y, Heta Y, Ezura H, Ariizumi T. Ethylene suppresses tomato (Solanum lycopersicum) fruit set through modification of gibberellin metabolism. Plant J. 2015;83:237–51.

    PubMed  CAS  Google Scholar 

  63. 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. 2017;84:275–83.

    Google Scholar 

  64. Richards DE, King KE, Ait-Ali T, Harbersd NP. How gibberennlin regulates plant growth and development: a molecular genetic analysis of gibberellin signalling. Annu Rev Plant Physiol Plant Mol Biol. 2001;52:67–88.

    PubMed  CAS  Google Scholar 

  65. Achard P, Baghour M, Chapple A, Hedden P, Straeten DVD. The plant stress hormone ethylene controls floral transition via DELLA-dependent regulation of floral meristem-identity genes. Proc Natl Acad Sci. 2007;104:6484–9.

    PubMed  CAS  PubMed Central  Google Scholar 

  66. Dorcey E, Urbez C, Blázquez AM, Carbonell J, Perez-Amador MA. Fertilization-dependent auxin response in ovules triggers fruit development through the modulation of gibberellin metabolism in Arabidopsis. Plant J. 2009;58:318–32.

    PubMed  CAS  Google Scholar 

  67. Kim YC, Nakajima M, Nakayama A, Yamaguchi I. Contribution of gibberellins to the formation of Arabidopsis seed coat through starch degradation. Plant Cell Physiol. 2005;46:1317–25.

    PubMed  CAS  Google Scholar 

  68. Shangguan Lf MQ, Fang X, Zhang KK, Jia HF, Li XP, Bao YQ, Fang JG. RNA-sequencing reveals biological networks during table grapevine (‘Fujiminori’) fruit development. PLoS One. 2017;12(1):e0170571.

    Google Scholar 

  69. Leng XP, Wang PP, Wang C, Zhu XD, Li XP, Li HY, Mu Q, Li A, Liu ZJ, Fang JG. Genome-wide identification and characterization of genes involved in carotenoid metabolic in three stages of grapevine fruit development. Sci Rep. 2017;7:4216.

    PubMed  PubMed Central  Google Scholar 

  70. Tamura K, Stecher C, Peterson D, Filipski A, Kumar S. MEGA6: molecular evolutionary genetics analysis version 6.0. Mol Biol Evol. 2013;30:2725–9.

    PubMed  PubMed Central  CAS  Google Scholar 

  71. Yang JF, Guo ZF. Cloning of a 9-cis-epoxycarotenoid dioxygenase gene (SgNCED1) from Stylosanthes guianensisand its expression in response to abiotic stresses. Plant Cell Rep. 2007;26:1383–90.

    PubMed  CAS  Google Scholar 

  72. Robinson MD, McCarthy DJ, Smyth GK. edgeR: a bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics. 2009;26:139–40.

    PubMed  PubMed Central  Google Scholar 

  73. Wang C, Wang XC, Kibet NK, Song CN, Zhang CQ, Li XY, Han J, Fang JG. Deep sequencing of grapevine flower and berry short RNA library for discovery of novel microRNAs and validation of precise sequences of grapevine microRNAs deposited in miRBase. Physiol Plant. 2011;143:64–81.

    PubMed  CAS  Google Scholar 

  74. Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2−ΔΔCT method. Methods. 2001;25:402–8.

    PubMed  CAS  Google Scholar 

Download references


The authors are grateful for the research laboratory facilities provided by the College of Horticulture, Nanjing Agricultural University, Nanjing, China.


The authors are grateful for the research laboratory facilities provided by the College of Horticulture, Nanjing Agricultural University, Nanjing, China. This work was supported by the National Key Research and Development Program of China (2018YFD1000106), Natural Science Foundation of Jiangsu Province (BK20181318) and National Natural Science Foundation of China (31972373, 31801809). Founding body had no role in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript.

Author information

Authors and Affiliations



WW and CW conceived and designed the research. WW and YB conducted experiments. LG and YZ contributed powerful analytical tools. WW, XW, ZL and HJ analyzed data, and WW and CW wrote the manuscript. KP and JF revised manuscript. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Chen Wang or Jinggui Fang.

Ethics declarations

Ethics approval and consent to participate

The plants used in our study are not endangered species. Plant sample collection was performed in accordance with the local legislation in China.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Additional file 1: Table S1.

The gene expression patterns of GA MST pathway genes in four stages of grape SBD.

Additional file 2: Table S2.

The gene expression patterns of auxin, ABA and CK MST pathway genes in three stages of grapevine SBD.

Additional file 3: Table S3.

64 genes expression patterns of GA, auxin, ABA and CK MST pathway in seed, berry skin, pericarp and flesh from a global transcriptomic atlas.

Additional file 4: Table S4.

The primers sequences of GA MST pathway genes for qRT-PCR.

Additional file 5: Table S5.

The name, stage and type of data used in this study.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, W., Bai, Y., Koilkonda, P. et al. Genome-wide identification and characterization of gibberellin metabolic and signal transduction (GA MST) pathway mediating seed and berry development (SBD) in grape (Vitis vinifera L.). BMC Plant Biol 20, 384 (2020).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: