Next Article in Journal
Amino Acid Transporters in Plants: Identification and Function
Next Article in Special Issue
Tumorous Stem Development of Brassica Juncea: A Complex Regulatory Network of Stem Formation and Identification of Key Genes in Glucosinolate Biosynthesis
Previous Article in Journal
Genome-Wide Association Analysis for Tuber Dry Matter and Oxidative Browning in Water Yam (Dioscorea alata L.)
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Histological, Physiological and Transcriptomic Analysis Reveal Gibberellin-Induced Axillary Meristem Formation in Garlic (Allium sativum)

College of Horticulture, Northwest A&F University, Yangling 712100, China
*
Author to whom correspondence should be addressed.
Hongjiu Liu and Yanbin Wen contributed equally to this work.
Plants 2020, 9(8), 970; https://doi.org/10.3390/plants9080970
Submission received: 22 May 2020 / Revised: 10 July 2020 / Accepted: 15 July 2020 / Published: 31 July 2020
(This article belongs to the Special Issue Plant Development)

Abstract

:
The number of cloves in a garlic bulb is controlled by axillary meristem differentiation, which directly determines the propagation efficiency. Our previous study showed that injecting garlic plants with gibberellins (GA3) solution significantly increased clove number per bulb. However, the physiological and molecular mechanism of GA-induced axillary bud formation is still unknown. Herein, dynamic changes in histology, phytohormones, sugars and related genes expression at 2, 4, 8, 16 and 32 days after treatment (DAT) were investigated. Histological results indicated two stages (axillary meristem initiation and dormancy) were in the period of 0–30 days after GA3 treatment. Application of GA3 caused a significant increase of GA3 and GA4, and the downregulation of AsGA20ox expression. Furthermore, the change trends in zeatin riboside (ZR) and soluble sugar were the same, in which a high level of ZR at 2 DAT and high content of soluble sugar, glucose and fructose at 4 DAT were recorded, and a low level of ZR and soluble sugar arose at 16 and 32 DAT. Overall, injection of GA3 firstly caused the downregulation of AsGA20ox, a significant increase in the level of ZR and abscisic acid (ABA), and the upregulation of AsCYP735 and AsAHK to activate axillary meristem initiation. Low level of ZR and soluble sugar and a high level of sucrose maintained axillary meristem dormancy.

Graphical Abstract

1. Introduction

Shoot branching, originating from an axillary bud, is an important determinant of plant architecture and significantly influences crop yield [1]. Axillary bud development is involved in two stages: axillary meristem initiation in the leaf axil and axillary bud outgrowth or dormancy [2]. For decades, the role of auxins, cytokinins (CKs), strigolactones (SLs) and brassinosteroid (BR) in shoot branching was reported, revealing a complex network of signals that combine to regulate an axillary meristem into a branch [3]. In addition, sugars and their signaling networks also played a critical role at the early stages of axillary bud outgrowth [4,5]. Currently, a relatively clear picture of phytohormones and sugars regulating axillary bud development was established in Arabidopsis thaliana [6,7], tomato [8], rice [9,10], barley [10], apple [11] and rose [12].
Garlic, the second most important Allium crop after the bulb onion, is cultivated and consumed worldwide for its flavor and medicinal value [13]. The garlic bulb, normally consisting of 8–15 cloves, is not only the main production organ, but also the propagation organ because most garlic cultivars are sterile [14]. The clove includes a bud, a storage leaf and a protective leaf, which is equated with tiller in rice and branch in woody plants [13]. Furthermore, gibberellins (GAs), as indispensable stimulators of plant growth [15], are applied to induce lateral bud outgrowth in tomato [16], branches in cherry trees [17] and Jatropha curcas [18], and tiller in Welsh Onion [19]. Our previous study showed injection of GA3 promoted axillary meristem formation and increased clove number per bulb [20], which is a better tool to enhance propagation efficiency and bulb yield of garlic [21]. Nevertheless, the physiological mechanism of GA-induced axillary meristem formation of garlic, especially the role of plant hormones and sugars, is still unknown.
Genetic studies in Arabidopsis thaliana [22], rice [23] and pea [24] have shown that axillary meristem initiation is regulated by several transcription factor-encoding genes, such as CUP-SHAPED COTYLEDON (CUC), LATERAL SUPPRESSOR (LAS), REGULATOR OF AXILLARY MERISTEMS (RAX), and REVOLUTA (REV) in Arabidopsis. However, it has been reported that FLOWERING LOCUS T (FT) genes regulated axillary meristem formation and clove number in garlic [25]. As Allium sativum is a nonmodel plant; its genomic information is still scare, except for the development of molecular markers [26,27,28], which restricts our understanding of the molecular mechanism of axillary meristem development of garlic. With the development of sequencing technologies, RNA sequencing (RNA-seq) independent of genetic background has been developed [29]. Currently, RNA-seq has been utilized to elucidate the response of garlic clove (shoot apical meristem) dormancy to storage temperature [30,31] and organ-specific profiling of gene expression in fertile garlic [32]. Carbohydrate genes and FT participation in the regulation of meristem termination and bulbing in garlic was reported [30]. Even though the understanding of the molecular mechanism of axillary meristem initiation and garlic bulbing has gradually improved, the regulatory genes and network of axillary meristem development in garlic have never been reported. Hence, we examined in this study the global gene expression changes under water and GA3 treatment using Illumina RNA-Seq technology.
GAs are a large group of tetracyclic diterpenes regulating many aspects of plant growth and development [33], such as promoting stem growth in sunflower [34], enhancing secondary xylem development in carrot [35] and inducing fruit-set in tomato [36]. GAs biosynthesis is catalyzed by six pivotal enzymes, involving ent-copalyl diphosphate synthase (CPS), ent-kaurene synthase (KS), ent-kaurene oxidase (KO), enthaurenoic acid oxidase (KAO), GA 20-oxidase (GA20ox), GA 3-oxidase (GA3ox) [33,37]. GA20ox function as a key player in producing bioactive GAs in plants and is cloned from many plant species [38,39,40,41]. Importantly, a high level of GAs in leaf axils by ectopically expressing GA20ox2 dramatically inhibited axillary meristem initiation in Arabidopsis [42]. However, it is unknown whether GA20ox expression plays a critical role in GA-induced axillary bud formation of garlic.
Our previous studies indicated GAs, CKs, IAA (indole-3-acetic acid), sugars and soluble protein participated in the process of GA-induced axillary bud formation of garlic [20,21,43]. In this study, we further investigated the changes of phytohormone levels, sugars content and the expression levels of key genes during the process of GA-induced axillary meristem formation of garlic. Our results not only provide a new and relative clear network of hormone and sugars metabolism for GA-induced axillary meristem formation of garlic, but also enrich our knowledge of improving garlic propagation efficiency via exogenous GA3.

2. Results

2.1. Injection of GA3 Promotes Axillary Meristem Formation of Garlic

Axillary meristem appeared after 30 days of GA3 treatment; on the contrary, there was no axillary meristem in the control at the same time (Figure 1A,B). At 90 days after treatment (DAT), significantly more axillary meristem (young axillary bud) formation took place, while no axillary meristem was yet recorded in control (Figure 1C,D). Mature axillary bud arose after 120 days of GA3 treatment, which was regarded as the first time of axillary bud formation under GA3 treatment (Figure 1E,F). There were axillary buds in both control and GA3 treatment at 150 DAT (Figure 1G,H). Obviously, a large number of axillary buds were found in GA3 treatment, which was regarded as the second time of axillary bud formation under GA3 treatment.
After harvest, the clove number and clove arrangement were evaluated on the basis of Figure 1I. Clove number and bulb structure were dramatically affected by GA3 treatment, with several cloves arranged around main bulb in GA3 treatment (Figure 1J). Importantly, the mean number of cloves per bulb was significantly increased by GA3 treatment (20.42), as compared to control (11.19). GA3 treatment also significantly increased whorl number per bulb (Figure 1K).

2.2. Impact of Injection of GA3 on Plant Hormone Level in Garlic Stems

The 0–30 days after GA3 treatment was a critical period in which axillary meristem (bud) formed and went into dormant status in this experiment (Figure 1 and Figure S1), based on our previous study [20,21]. Hence, plant hormone levels in stems in control and GA3 treatment were investigated at 2, 4, 8, 16 and 32 DAT. ZR (zeatin riboside) level was significantly increased after 2 days of GA3 treatment and sharply decreased after 8, 16 and 32 days of GA3 treatment, as compared to control (Figure 2A). By contrast, the change trend of IAA is opposite to ZR. The values of IAA of GA3-treated plants significantly decreased by 98.06% at 8 DAT, increased by 32.75% at 16 DAT, compared to control (Figure 2B). ABA (abscisic acid) level in GA3-treated plant (35.72 mg g−1 fresh weight (FW)) was significantly higher than control at 2 DAT (26.92 mg g−1 FW; Figure 2C). Furthermore, injection of GA3 significantly increased GA3 level at 2, 4, 8, 16 and 32 DAT (25.50, 21.34, 21.34, 20.58 and 7.58 mg g−1 FW, respectively), compared to control (4.37, 3.88, 3.95, 3.27 and 1.29 mg g−1 FW, respectively; Figure 2D). GA4 level was significantly increased by GA3 treatment at 2, 4 and 8 DAT (Figure 2E).

2.3. Effect of GA3 Treatment on Sugars and Soluble Protein Content in Garlic Stems

The changes of soluble sugar, soluble protein, sucrose, glucose and fructose in the stems of GA3-treated plants were detected at 2, 4, 8, 16 and 32 DAT. The value of soluble sugar was sharply increased by 34.28% after 4 days of GA3 treatment, but significantly reduced by 17.98% and 29.66% after 16 and 32 days of GA3 treatment, respectively (Figure 3A). However, injection of GA3 only caused an increase in soluble protein content at 8, 16 and 32 DAT (Figure 3B). Sucrose content was significantly increased by GA3 treatment at 8 and 32 DAT (11.45 and 16.24 mg g−1 FW, respectively), compared to control (9.36 and 14.10 mg g−1 FW, respectively; Figure 3C). Glucose content increased on the average of 179% and 110% at 4 and 32 day after GA3 treatment, respectively (Figure 3D). Fructose content was increased by 24.19% at 4 DAT (compare GA3 treatment versus control; Figure 3E).

2.4. Transcriptome Analysis

A total of 503,769,826 raw reads were obtained from the transcriptome sequencing of control (water treatment) and GA3 treatment at 2 DAT using the Illumina platform. After removing low-quality reads, 494,115,858 clean reads were mapped to the maize reference genome (https://ftp.ncbi.nim.nilh.gov/genomes/GCF_000005005.2_B_73_ErfGen_v4_genomic.fna.gz) by HISAT2. Under normal conditions, if the high quality of reference genome was chosen properly, and the relevant experiments were not contaminated, the percentage of total mapped reads would be higher than 70%. The mapping results showed that the lowest mapping rate is higher than 75%, suggesting the high quality of our transcriptome data (Table 1).
A total of 159 differentially expressed genes (DEGs) were detected in the comparison of GA3 treatment versus water treatment at 2 DAT (Figure 4A and Table S1). To survey the potential functions of genes differentially expressed between control and GA3 treatment, GO (Gene Ontology) and KEGG (Kyoto Encyclopedia of Genes and Genomes) enrichments were performed for function classification. GO analysis showed that 83 DEGs were enriched in 5 GO terms, in which 6 and 77 genes were enriched in biological processes and molecular function, respectively (Figure 4B). Of the 74 genes, 37 and 37 were classified to be associated with heterocyclic compound binding and organic cyclic compound binding, respectively (Figure 4B). Four genes into phenylpropanoid biosynthesis, three genes into ubiquinone and other terpenoid-quinone biosynthesis, three genes into starch and sucrose metabolism and one gene into diterpenoid biosynthesis were detected in KEGG analyses (Figure 4C).
Furthermore, we listed 12 important unigenes that relate to plant hormone and sugars metabolism in a sample of control and GA3 treatment (Table 2). Among these 12 unigenes, 4 were DEGs, which encode gibberellin 20 oxidase 2, beta-glucosidase 31, beta-glucosidase 25 and 1,4-alpha-glucan-branching enzyme 3. As for the other 8 unigenes, they were mainly involved in the GA signal pathway, cytokinin biosynthesis, cytokinin signaling pathway, auxin signaling pathway, sucrose metabolism and meristem development. Therefore, the changes of GAs biosynthesis and sugars metabolism initially happened, which is considered as the first step for GA-induced axillary meristem formation of garlic.

2.5. Dynamic Expression of AsGA20ox, AsAUX, AsCYP735, AsAHK, AsBGLU31 and AsINV

Based on the results of transcriptome analysis, Allium sativum gibberellin (GA) 20-oxidase homolog (AsGA20ox; Cluster-32430.71391), Allium sativum auxin-induced protein homolog (AsAUX; Cluster-32430.172148), Allium sativum cytokinin hydroxylase homolog (AsCYP735; Cluster-15446.0), Allium sativum histidine kinase homolog (AsAHK; Cluster-32430.98625), Allium sativum beta-glucosidase 31 homolog (AsBGLU31; Cluster-32430.190012), Allium sativum invertase homolog (AsINV; Cluster-32430.143582) were screened for the RT-qPCR experiment. In addition, the coding sequence (CDS; 1146 bp) of AsGA20ox was amplified from the transcriptome data (Cluster-32430.71391; Figure S2). The CDS (1929 bp) of AsINV was amplified from the transcriptome data (Cluster-32430.143582; Figure S3). The transcriptome data indicated expression of AsGA20ox and AsBGLU31 were significantly downregulated, and expression of AsCYP735 and AsAHK were upregulated in the stem after 2 days of GA3 treatment as compared to control (water treatment). No significant difference was recorded in expression of AsAUX and AsINV in the stems of GA3 treatment and control at 2 DAT (Table 2). As expected, the results of RT-qPCR were similar to transcriptome data (Figure 5 and Figure S4). Expression of AsGA20ox was significantly lower in stems under GA3 treatment compared to control at 2, 4, 8, 16 and 32 DAT (Figure 5A). In addition, expression of AsAUX was sharply downregulated by GA3 treatment at 8, 16 and 32 DAT (Figure 5B). By contrast, expression of AsCYP735 and AsAHK were significantly higher at 2 and 4 DAT (GA3 treatment versus control; Figure 5C,D), but RNA-seq results showed there was no significant difference in expression of AsCYP735 and AsAHK at 2 DAT (Table 2). In terms of sugar metabolism, expression of AsINV was 5-fold higher in stems after 32 days of GA3 treatment versus control (Figure 5E). On the contrary, expression of AsBGLU31 was significantly downregulated in the GA3 treatment group at 2, 4 and 8 DAT (Figure 5F).

2.6. Principal Component Analysis (PCA)

PCA analysis was performed to show the trends, patterns and differences in the phytohormone level, sugars content, soluble protein content and expression level of key genes in stems of GA3-treated plants and water-treated (control) plants at 2, 4, 8, 16 and 32 DAT. PCA analysis revealed that four highest ranking principal components accounted for 85.69% of total variance. PC1 and PC2 accounted for 37.18% and 22.10% of the total variance, respectively, which showed the “GA3 (2d)”, “GA3 (4d)”, “GA3(8d)”, “GA3 (16d)”, “GA3 (32d)” and “Control (32d)” being distinct from “Control (2d)”, “Control (4d)”, “Control (8d)” and “Control (16d)” (Figure 6A). Further analysis showed that PC1 loadings were negative for GA3 (−0.53), GA4 (−0.66) and ABA (−0.68), but were positive for other parameters, showing an inverse relationship between “GA3, GA4, ABA” and other parameters (Figure 6B). The corresponding loadings were negative for ZR (−0.14), AsGA20ox (−0.56), AsAUX (−0.48) and AsBGLU31 (−0.19), but were positive for other parameters, accounting for 22.10% of the variance in PC2 (Figure 6B).

3. Discussion

Previous studies suggested GAs play a negative role in the regulation of shoot branching in various species [44,45,46]. Recently, stimulation of GAs in axillary bud development was reported in cherry tree [17], Jatropha curcas [18] and Welsh onion [19]. Our previous study showed injection of GA3 four times (at 40, 50, 60 and 70 days after planting) promoted axillary bud formation and increased clove number per bulb (control and GA3 treatment: 12 and 24, respectively) in cv. G064 [20]. Similarly, injection of GA3 once (at 40 days after planting) also induced axillary bud formation and increased clove number per bulb (control and GA3 treatment: 12 and 20, respectively), which indicated the effects of injection of GA3 once and four times on clove number per bulb were the same. In addition, the process of GA-induced axillary bud formation of garlic in this study was the same as our previous results [21]. Because there was no significant difference in the size of axillary meristem among 16 DAT, 30 DAT and 60 DAT (Figure 1 and Figure S1), it was possible that 30 and 60 DAT was in winter with a relatively low temperature to induce axillary meristem dormancy. Hence, two stages, axillary meristem initiation and inhibition of axillary meristem growth (or axillary meristem dormancy), happened during 0–30 days after GA3 treatment. Meanwhile, our findings confirmed again that axillary bud formed twice in GA3-treated plants (Figure 7B), which caused a sharp increase in clove number per bulb to enhance garlic propagation efficiency [20].
A negative correlation between GAs level and axillary meristem formation was found in various plant species [47,48,49]. Our group also reported that seed cloves soaked in GA3 solution led to axillary bud formation with a low level of endogenous GA3 in the stem [43]. However, high levels of GAs in stems of GA3-treated plants were found in this study, thereby we suspected that application mode (injection) might result in residual GA3 in the stem. Furthermore, GA20ox, encoding a GA-biosynthesis enzyme, played various roles in plant development [50]. Ectopically expressing GA20ox led to an increase in GAs at the leaf axil to inhibit axillary meristem initiation in Arabidopsis [42]. Our findings showed significant downregulation of AsGA20ox in the stem, suggesting endogenous GAs level at the leaf axil is possibly reduced for activating the process of GA-induced axillary meristem formation. Nowadays our group is investigating how GAs metabolize and its downstream genes affect axillary meristem formation of garlic.
Wang et al. [51] found that cytokinin accumulation in the leaf axil partially rescued axillary meristem initiation-deficient mutants. Additionally, axillary bud outgrowth occurred with an increase of cytokinin levels in Allium sativum [43] and Lupinus angustifolius [52]. As expected, our results showed a high level of ZR and upregulation of AsCYP735 (encoding a key enzyme of CKs biosynthesis) that were detected 2 days after GA3 treatment, which could participate in the promotion of axillary meristem initiation, as indicated in previous studies [5,53]. High expression of AsAHK arose after 2 and 4 days of GA3 treatment, indicating that the cytokinin signal pathway might positively regulate axillary meristem initiation [54]. Meanwhile, ABA, as a stress hormone, was increased by GA3 treatment at 2 DAT to induce axillary meristem formation [55]. Taken together, we hypothesize that GAs metabolism, high levels of ZR and ABA, and the cytokinin signal pathway may participate in the process of GA-induced axillary meristem formation (Figure 7A).
Besides, a low level of IAA at the leaf axil is required for axillary meristem initiation [51,56]. In this study, a significant decrease in IAA level in stems arose at 8 days after GA3 treatment was recorded, which happened after the changes of GAs, ZR and ABA levels, and may promote axillary meristem formation of garlic. Then, an elevation of IAA level at 16 days after GA3 treatment and low ZR level at 16 and 32 of GA3 treatment could impair axillary meristem (bud) growth and maintain axillary meristem dormancy [4,8,57]. Meanwhile, AsAUX, an auxin signal pathway gene, strongly downregulated after 8, 16 and 32 days of GA3 treatment, suggesting auxin signal pathway negative regulates axillary meristem formation and dormancy [53,56]. Even though the potential roles of GAs, ZR, IAA and ABA in different stages of GA-induced axillary meristem are suggested in this study (Figure 7A), the effect of application of other hormones (CKs, IAA, ABA and BR) on axillary meristem development of garlic needs to be elucidated, which promotes the application of phytohormones to regulate bud development and improve garlic propagation efficiency in horticultural practice.
Sugars play a critical role in bud formation and development as they are a source of carbon for protein synthesis and provide energy [58,59]. Herein, we supposed a higher content of soluble sugar, glucose and fructose happened after 4 days of GA3 treatment to provide energy for axillary meristem initiation, then a low content of soluble sugar at 16 and 32 DAT maintained axillary meristem dormancy [5,21,60]. A large amount of protein participated in the process of axillary meristem formation and dormancy [21,60,61]. Interestingly, low expression of AsBGLU31 arose at the stage of axillary meristem initiation. Because beta-glucosidase (BGLU) is a rate-limiting enzyme for cellulose hydrolysis, as it converts cellobiose into glucose [62], it is possible that there is a negative feedback loop between glucose and AsBGLU31. In addition, sucrose is a modulator of the critical hormone mechanisms controlling shoot branching in Arabidopsis [63], Rosa hybrida [4] and potato [64]. Our findings agree with previous studies [65,66]—that high sucrose content in buds and stems plays a positive role in axillary meristem dormancy. Invertase, as an hydrolytic enzyme that cleaves sucrose into glucose and fructose, affects plant growth and development [67,68]. Heyer et al. [69] reported overexpressing apoplastic invertase (AI) in the meristem of Arabidopsis enhanced branching of the inflorescence. Nevertheless, high expression of AsINV was found in this study, indicating AsINV expression was probably induced by high sucrose content to maintain sucrose homeostasis. Whether or not AsINV is induced at the stage of axillary meristem release (axillary bud outgrowth) needs further investigation.
Kamenetsky’s group screened more than 1000 DEGs using RNA-sequencing in garlic [32], whereas there were only 159 DEGs (GA3 treatment versus water treatment) in this study. Furthermore, DEGs in this study did not involve the key genes regulating axillary meristem, such as LAS, RAX, REV and WUS. As we know, shoot apical meristem and axillary bud hide in the basal stem of garlic restricts the observation of axillary meristem development and affects the precision of samples. Therefore, it is suggested the complex and large organ of the sample (1 cm-thick stem piece) or the single time of sample (on the second day after treatment) caused a small number of DEGs. Based on PCA analysis (Figure 6), setting up more sample time points for RNA-seq is possible to obtain a large number of DEGs to draw a clear transcriptomic network of GA-induced axillary meristem formation. Even though there were 159 DEGs in this study, approximately 280,000 unigenes were assembled to provide versatile resources for garlic genome research. In the future, obtaining GA-biosynthesis/signaling mutants in garlic should be done for explaining molecular mechanisms of GA-induced axillary meristem formation.

4. Materials and Methods

4.1. Plant Materials, GA3 Treatment and Growth Conditions

Garlic cultivar G064, widely cultivated in China, was used in this study, which was produced in the experimental station of Northwest A&F University, using regular horticultural practices (sown date: 10 September 2016; harvest date: 25 May 2017). After harvest, the bulbs were put in a well-ventilated and dark room at a temperature of 15–25 °C for three months, then broken into cloves, and uniform cloves were picked for this experiment. The bulb morphological traits of cv. G064 are weight 35–55 g, diameter 3.5–5.5 cm and 11–13 cloves arranged in two whorls.
This study was a pot experiment and included two treatments (GA3 treatment and control). At the beginning, 50 uniform cloves were sown in a plastic box (length 60 cm × width 40 cm × depth 20 cm) on 20 September 2017, with six replications. Then, the six plastic boxes were placed in a plastic tunnel of Northwest A&F University, and mean temperature per month and total sunshine hours per month in the plastic tunnel during the garlic growing season were recorded and shown in Figure S5. Lastly, three plastic boxes were randomly selected in which each garlic plant was injected with 2 mL GA3 solution (1 mmol L−1; Yuanye, Shanghai, China) on 1 November 2017, as the GA3 treatment, and garlic plants of another three plastic boxes were injected with distilled water, as control. The method of GA3 and water injection was the same as used in our previous study [20]. “Jiahui” substrate (Liaocheng, Shandong Province, China) was used as the growing medium, which contained 20–25% organic matter and 8–10% humic acid. Water, calcium, ammonium nitrate and potassium (Xuzhou, Jiangsu Province, China) were regularly supplemented during the growth season of the garlic. Plant health was controlled by Maneb and Thiometon-based insecticides.

4.2. Histology of Axillary Meristem and Axillary Bud

One cm-thick stem pieces of water-treated plants and GA3-treated plants were collected at 30 and 90 DAT. Then, the 1 cm-thick stem pieces were immediately put into FAA solution (5 mL formalin, 5 mL acetic acid, 50 mL alcohol and 40 mL distilled water) and samples were stained with 1% safranin for 48 h. In accordance with Lv et al.’s method [60], a 10 μm-thick paraffin longitudinal section was obtained for observing axillary meristem formation under a microscope (BX51 + PD72 + IX71, OLYMPUS, Tokyo, Japan). At 120 and 150 DAT, axillary bud formation was checked in the control group and GA3 treatment group by a stereoscopic fluorescence microscope (MZ10F, LEICA, Heidelberg, Germany).

4.3. Assessment of Endogenous Plant Hormone Levels

In order to evaluate the changes of endogenous hormone level, sugars content, soluble protein and related gene expression level in stems during this period of GA-induced axillary meristem formation, sampling (3 plants per growing box) in the control group and GA3 treatment group was conducted at 2, 4, 8, 16 and 32 DAT. As shown in Figure S6, 1 cm-thick stem was separated from the whole plant and immediately placed into liquid nitrogen, then stored at −80 °C.
The samples (0.5 g) were ground in an ice-cold mortar with 8 ml of 80% (v/v) methanol medium that contained butylated hydroxytoluene (1 mM) as an antioxidant. The extracts were incubated at 4 °C for 4 h and then centrifuged at 500 rpm for 10 min at 4 °C. The supernatants were passed through Chromosep C18 columns (Waters Corporation, Millford, MA, USA). The efflux was collected and dried under nitrogen gas. The residues were then dissolved in 2 mL of 0.01 mM phosphate buffer saline (PBS) containing 0.1% (v/v) Tween 20 and 0.1% (w/v) gelatin (pH 7.5) to determine the endogenous phytohormone levels. As described in previous studies [70,71,72,73], the measurement of zeatin riboside (ZR), indole-3-acetic acid (IAA), abscisic acid (ABA) and gibberellins (GA3 and GA4) were performed using an indirect enzyme-linked immunosorbent assay (ELISA) technique. The mouse monoclonal antigens and antibodies against ZR, IAA, ABA, GA3 and GA4 were produced at the Phytohormones Research Institute (China Agriculture University, Beijing, China).

4.4. Evaluation of Sugars Content and Soluble Protein Content

Sucrose, glucose and fructose were extracted from mashed 1 cm-thick stem in 10 mL of double distilled water for 30 min at 80 °C. The extracted sample was centrifuged at 12,000 rpm for 10 min at room temperature. The supernatant was filtered through a 0.45 μm nylon inorganic filter for high performance liquid chromatography (HPLC) analyses. The determination method and experiment instruments were the same as research reported previously [74]. The concentrations of sucrose, glucose and fructose were expressed in mg g−1 on a fresh weight basis. Soluble sugar content was evaluated by DuBois et al.’s method [75]. Soluble protein content was estimated by the Coomassie Brilliant Blue (CBB) method [76].

4.5. Transcriptome Analysis

Based on our pre-experiment and previous studies [21], 1 cm-thick stems of plants in control and GA3 treatment were collected at 2 DAT, with three biological replicates. Total RNA was extracted from each sample using RNAprep Pure Plant Kit (Tiangen Biotech, Beijing, China). The sequencing library was prepared by random fragmentation of the cDNA sample, followed by 5′ and 3′ adapter ligation. Adapter-ligated fragments were PCR amplified and gel purified. Then, the libraries of mRNA were sequenced on an Illumina Hiseq 2500 platform (Novogene Co. Ltd., Beijing, China; www.novogene.cn) and 150 bp paired-end reads were generated.
Raw reads of fastq format were firstly processed through in-house Perl scripts, which were deposited in the NCBI (National Center for Biotechnology Information, Bethesda, MD, USA) database (SRA accession: PRJNA565115). After adapter sequences and low-quality reads were eliminated, clean reads were used to de novo assemble the garlic transcriptome using the Trinity platform (Broad Institute, Cambridge, MA, USA and Hebrew University of Jerusalem, Jerusalem, Israel) [77]. The assembled unigenes were each searched against five public databases: SWISS-PROT protein database, Gene Ontology (GO) database, NCBI nonredundant protein sequences (NR) database, NCBI nucleotide sequences (NT) database and KEGG ortholog (KO) database. Furthermore, the unigene expression was normalized using the fragments per kilo bases per million reads (FPKM) method described by Mortazavi et al. [78]. The differential gene expression between control and GA3 treatment were analyzed using the edgeR software [79] with an FDR of 0.05 and |logFC| ≥ 1 as the threshold. Differentially expressed genes (DEGs) were conducted by GO enrichment analysis and KEGG enrichment analysis using R based on hypergeometric distribution. Significantly enriched GO terms and KEGG pathways were identified, based on the corrected p-value (p < 0.01 and p < 0.05, respectively).

4.6. Quantitative Real-Time PCR (qRT-PCR) Validation of Gene Expression Levels

In according to DEGs results, AsGA20ox, AsAUX, AsCYP735, AsAHK, AsBGLU31 and AsINV were selected for analysis using RT-qPCR. Gene-specific primers were designed with the Primer Premier 5.0 software (PREMIER Biosoft, San Francisco, CA, USA), as shown in Table S2. RT-PCR was performed as follows: 95 °C for 3 min; 35 cycles at 95 °C for 30 s; 54–64 °C for 30 s and 72 °C for 20 s; and final extension at 72 °C for 3 min. The RT-qPCR was conducted by the Maxima SYBR Green Master Mix (Thermo Scientific) and a Real-time Quantitative PCR System (iQ5, Bio-Rad, USA). The garlic actin gene (AsACT) was used as internal reference control to standardize the results [80]. The relative expression data were analyzed using the 2−∆∆CT method. The final values were presented as means of three independent biological trials.

4.7. Statistical Analysis

All data were subjected to paired Student’s t-test using SAS 9.2 (SAS Institute, Cary, NC, USA). Principal component analysis (PCA) was also performed by SAS 9.2. All graphs were plotted using the Sigma Plot 10.0 software (Systat Software Inc., San Jose, CA, USA).

5. Conclusions

Our results demonstrated that two stages, axillary meristem initiation and dormancy, happened in the period of 0–30 days after GA3 treatment, and axillary bud formation occurred twice in GA3-treated plants (Figure 7B). Injecting the garlic plant with GA3 solution led firstly to the downregulation of AsGA20ox and AsBGLU31 expression, a significant increase in the levels of ZR and ABA and the upregulation of AsCYP735 and AsAHK expression, which may activate axillary meristem initiation. Subsequently, the low level of IAA and high level of soluble sugar (glucose, fructose and sucrose) occurred and probably promoted axillary meristem formation in GA3-treated garlic plants. Lastly, low level of ZR and soluble sugar, the downregulation of AsAUX expression and high content of sucrose occurred at 16 and 32 days of GA3 treatment to inhibit axillary meristem growth and induce axillary meristem dormancy (Figure 7A).

Supplementary Materials

The following are available online at https://www.mdpi.com/2223-7747/9/8/970/s1, Figure S1: Histological studies on axillary meristem development of GA3-treated plants, Figure S2: The nucleotide sequence and the deduced amino acid sequence of AsGA20ox CDS, Figure S3: The nucleotide sequence and the deduced amino acid sequence of AsINV CDS, Figure S4: Comparison between the log2 of expression ratios of DGEs obtained from RNA-seq and RT-qPCR, Figure S5: Average temperature per month and total sunshine hours per month in the plastic tunnel, Figure S6: Sample for measuring endogenous plant hormone level, sugars content, soluble protein content and related genes expression in 1 cm-thick stem containing shoot apical meristem, Table S1: List of 159 DEGs in this study, Table S2: Primers used in this study.

Author Contributions

Conceptualization, H.L. and Y.W.; methodology, H.L.; software, X.Q.; validation, J.G.; formal analysis, H.L.; investigation, H.L. and Y.W.; resources, R.D.; data curation, M.C. and Y.W.; writing—original draft preparation, H.L.; writing—review and editing, Z.C.; visualization, M.C. and X.Q.; supervision, Z.C.; project administration, Z.C.; funding acquisition, Z.C. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the projects of National Natural Science Foundation of China (31772293) and Education Development Foundation of Northwest A&F University (2017).

Acknowledgments

We thank the Chinese Scholarship Council for stipend support of Hongjiu Liu for collaborative research at Heinrich Heine University Düsseldorf.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Wang, Y.; Li, J. Molecular basis of plant architecture. Annu. Rev. Plant Biol. 2008, 59, 253–279. [Google Scholar] [CrossRef] [PubMed]
  2. Domagalska, M.A.; Leyser, O. Signal integration in the control of shoot branching. Nat. Rev. Mol. Cell Biol. 2011, 12, 211–221. [Google Scholar] [CrossRef]
  3. Janssen, B.J.; Drummond, R.S.M.; Snowden, K.C. Regulation of axillary shoot development. Curr. Opin. Plant Biol. 2014, 17, 28–35. [Google Scholar] [CrossRef]
  4. Barbier, F.; Perez-Garcia, M.-D.; Barrière, Q.; Sakr, S.; Lecerf, M.; Péron, T.; Bertheloot, J.; Rolčík, J.; Boutet-Mercey, S.; Citerne, S.; et al. Sucrose is an early modulator of the key hormonal mechanisms controlling bud outgrowth in Rosa hybrida. J. Exp. Bot. 2015, 66, 2569–2582. [Google Scholar] [CrossRef] [Green Version]
  5. Barbier, F.F.; Dun, E.A.; Kerr, S.C.; Chabikwa, T.G.; Beveridge, C.A. An update on the signals controlling shoot branching. Trends Plant Sci. 2019, 24, 220–236. [Google Scholar] [CrossRef] [PubMed]
  6. Evers, J.B.; van der Krol, A.R.; Vos, J.; Struik, P.C. Understanding shoot branching by modelling form and function. Trends Plant Sci. 2011, 16, 464–467. [Google Scholar] [CrossRef] [PubMed]
  7. Barbier, F.F.; Lunn, J.E.; Beveridge, C.A. Ready, steady, go! A sugar hit starts the race to shoot branching. Curr. Opin. Plant Biol. 2015, 25, 39–45. [Google Scholar] [CrossRef]
  8. Chen, X.-J.; Xia, X.-J.; Guo, X.; Zhou, Y.-H.; Shi, K.; Zhou, J.; Yu, J.-Q. Apoplastic H2O2 plays a critical role in axillary bud outgrowth by altering auxin and cytokinin homeostasis in tomato plants. New Phytol. 2016, 211, 1266–1278. [Google Scholar] [CrossRef] [PubMed]
  9. Sang, D.; Chen, D.; Liu, G.; Liang, Y.; Huang, L.; Meng, X.; Chu, J.; Sun, X.; Dong, G.; Yuan, Y.; et al. Strigolactones regulate rice tiller angle by attenuating shoot gravitropism through inhibiting auxin biosynthesis. Proc. Natl. Acad. Sci. USA 2014, 111, 11199–11204. [Google Scholar] [CrossRef] [Green Version]
  10. Hussien, A.; Tavakol, E.; Horner, D.S.; Muñoz-Amatriaín, M.; Muehlbauer, G.J.; Rossini, L. Genetics of tillering in rice and barley. Plant Genome 2014, 7, 1–20. [Google Scholar] [CrossRef] [Green Version]
  11. Tan, M.; Li, G.; Chen, X.; Xing, L.; Ma, J.; Zhang, D.; Ge, H.; Han, M.; Sha, G.; An, N. Role of cytokinin, strigolactone, and auxin export on outgrowth of axillary buds in apple. Front. Plant Sci. 2019, 10, 616. [Google Scholar] [CrossRef] [PubMed]
  12. Bredmose, N.; Kristiansen, K.; Nørbæk, R.; Christensen, L.P.; Hansen-Møller, J. Changes in concentrations of cytokinins (CKs) in root and axillary bud tissue of miniature rose suggest that local CK biosynthesis and zeatin-type CKs play important roles in axillary bud growth. J. Plant Growth Regul. 2005, 24, 238–250. [Google Scholar] [CrossRef]
  13. Kamenetsky, R. Garlic: Botany and horticulture. In Horticultural Reviews; John Wiley & Sons, Inc.: Hoboken, NJ, USA, 2007; Volume 33, pp. 123–172. [Google Scholar]
  14. Etoh, T.; Simon, P.W. Diversity, fertility and seed production of garlic. In Allium Crop Science: Recent Advances; CABI Publishing: Wallingford, UK, 2002. [Google Scholar]
  15. Achard, P.; Genschik, P. Releasing the brakes of plant growth: How GAs shutdown DELLA proteins. J. Exp. Bot. 2009, 60, 1085–1092. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  16. Mapelli, S.; Kinet, J.M. Plant-growth regulator and graft control of axillary bud formation and development in the to-2 mutant tomato. Plant Growth Regul. 1992, 11, 385–390. [Google Scholar] [CrossRef]
  17. Elfving, D.C.; Visser, D.B.; Henry, J.L. Gibberellins stimulate lateral branch development in young sweet cherry trees in the orchard. Int. J. Fruit Sci. 2011, 11, 41–54. [Google Scholar] [CrossRef]
  18. Ni, J.; Gao, C.C.; Chen, M.S.; Pan, B.Z.; Ye, K.Q.; Xu, Z.F. Gibberellin promotes shoot branching in the perennial woody plant Jatropha curcas. Plant Cell Physiol. 2015, 56, 1655–1666. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  19. Yamazaki, H.; Shiraiwa, N.; Itai, A.; Honda, I. Involvement of gibberellins in the regulation of tillering in Welsh onion (Allium fistulosum L.). Horticult. J. 2015, 84, 334–341. [Google Scholar] [CrossRef] [Green Version]
  20. Liu, H.; Deng, R.; Huang, C.; Cheng, Z.; Meng, H. Exogenous gibberellins alter morphology and nutritional traits of garlic (Allium sativum L.) bulb. Sci. Hortic. 2019, 246, 298–306. [Google Scholar] [CrossRef]
  21. Liu, H.; Zhang, Y.; Yang, F.; Qi, X.; Ahmad, H.; Wu, C.; Cheng, Z. Effect of the mode and time of gibberellic acid treatment on plant architecture and bulb structure in garlic (Allium sativum L.). Sci. Hortic. 2019, 257, 108723. [Google Scholar] [CrossRef]
  22. Grbić, V.; Bleecker, A.B. Axillary meristem development in Arabidopsis thaliana. Plant J. 2000, 21, 215–223. [Google Scholar] [CrossRef] [Green Version]
  23. Wang, Y.; Li, J. Branching in rice. Curr. Opin. Plant Biol. 2011, 14, 94–99. [Google Scholar] [CrossRef] [PubMed]
  24. Beveridge, C.A.; Weller, J.L.; Singer, S.R.; Hofer, J.M.I. Axillary meristem development. budding relationships between networks controlling flowering, branching and photoperiod responsiveness. Plant Physiol. 2003, 131, 927–934. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. Rohkin Shalom, S.; Gillett, D.; Zemach, H.; Kimhi, S.; Forer, I.; Zutahy, Y.; Tam, Y.; Teper-Bamnolker, P.; Kamenetsky, R.; Eshel, D. Storage temperature controls the timing of garlic bulb formation via shoot apical meristem termination. Planta 2015, 242, 951–962. [Google Scholar] [CrossRef] [PubMed]
  26. Cunha, C.P.; Resende, F.V.; Zucchi, M.I.; Pinheiro, J.B. SSR-based genetic diversity and structure of garlic accessions from Brazil. Genetica 2014, 142, 419–431. [Google Scholar] [CrossRef]
  27. Kumar, M.; Rakesh Sharma, V.; Kumar, V.; Sirohi, U.; Chaudhary, V.; Sharma, S.; Saripalli, G.; Naresh, R.K.; Yadav, H.K.; Sharma, S. Genetic diversity and population structure analysis of Indian garlic (Allium sativum L.) collection using SSR markers. Physiol. Mol. Biol. Plants 2019, 25, 377–386. [Google Scholar] [CrossRef]
  28. Zhao, W.-G.; Chung, J.-W.; Lee, G.-A.; Ma, K.-H.; Kim, H.-H.; Kim, K.-T.; Chung, I.-M.; Lee, J.-K.; Kim, N.-S.; Kim, S.-M.; et al. Molecular genetic diversity and population structure of a selected core set in garlic and its relatives using novel SSR markers. Plant Breed. 2011, 130, 46–54. [Google Scholar] [CrossRef]
  29. Wang, Z.; Gerstein, M.; Snyder, M. RNA-Seq: A revolutionary tool for transcriptomics. Nat. Rev. Genet. 2009, 10, 57. [Google Scholar] [CrossRef]
  30. Chaturvedi, A.K.; Shalom, S.R.; Faigenboim-Doron, A.; Teper-Bamnolker, P.; Salam, B.B.; Daus, A.; Kamenetsky, R.; Eshel, D. Differential carbohydrate gene expression during preplanting temperature treatments controls meristem termination and bulbing in garlic. Environ. Exp. Bot. 2018, 150, 280–291. [Google Scholar] [CrossRef]
  31. Sun, X.; Zhou, S.; Meng, F.; Liu, S. De novo assembly and characterization of the garlic (Allium sativum) bud transcriptome by Illumina sequencing. Plant Cell Rep. 2012, 31, 1823–1828. [Google Scholar] [CrossRef]
  32. Kamenetsky, R.; Faigenboim, A.; Mayer, E.S.; Michael, T.B.; Gershberg, C.; Kimhi, S.; Esquira, I.; Shalom, S.R.; Eshel, D.; Rabinowitch, H.D.; et al. Integrated transcriptome catalogue and organ-specific profiling of gene expression in fertile garlic (Allium sativum L.). BMC Genomics 2015, 16, 12. [Google Scholar] [CrossRef] [Green Version]
  33. Yamaguchi, S. Gibberellin metabolism and its regulation. Annu. Rev. Plant Biol. 2008, 59, 225–251. [Google Scholar] [CrossRef] [PubMed]
  34. Fambrini, M.; Mariotti, L.; Parlanti, S.; Picciarelli, P.; Salvini, M.; Ceccarelli, N.; Pugliesi, C. The extreme dwarf phenotype of the GA-sensitive mutant of sunflower, dwarf2, is generated by a deletion in the ent-kaurenoic acid oxidase1 (HaKAO1) gene sequence. Plant Mol.Biol. 2011, 75, 431–450. [Google Scholar] [CrossRef] [PubMed]
  35. Wang, G.L.; Que, F.; Xu, Z.S.; Wang, F.; Xiong, A.S. Exogenous gibberellin enhances secondary xylem development and lignification in carrot taproot. Protoplasma 2017, 254, 839–848. [Google Scholar] [CrossRef] [PubMed]
  36. Mariotti, L.; Picciarelli, P.; Lombardi, L.; Ceccarelli, N. Fruit-set and early fruit growth in tomato are associated with increases in indoleacetic acid, cytokinin, and bioactive gibberellin contents. J. Plant Growth Regul. 2011, 30, 405. [Google Scholar] [CrossRef]
  37. Rizza, A.; Jones, A.M. The makings of a gradient: Spatiotemporal distribution of gibberellins in plant development. Curr. Opin. Plant Biol. 2019, 47, 9–15. [Google Scholar] [CrossRef]
  38. Huang, S.; Raman, A.S.; Ream, J.E.; Fujiwara, H.; Cerny, R.E.; Brown, S.M. Overexpression of 20-oxidase confers a gibberellin-overproduction phenotype in Arabidopsis. Plant Physiol. 1998, 118, 773–781. [Google Scholar] [CrossRef] [Green Version]
  39. Du, J.; Yao, Y.; Ni, Z.; Sun, Q. Cloning and characterization of an up-regulated GA 20-oxidase gene in hybrid maize. Prog. Nat. Sci. 2009, 19, 161–166. [Google Scholar] [CrossRef]
  40. Jeon, H.W.; Cho, J.S.; Park, E.J.; Han, K.H.; Choi, Y.I.; Ko, J.H. Developing xylem-preferential expression of PdGA20ox1, a gibberellin 20-oxidase 1 from Pinus densiflora, improves woody biomass production in a hybrid poplar. Plant Biotechnol. J. 2016, 14, 1161–1170. [Google Scholar] [CrossRef]
  41. Toyomasu, T.; Kawaide, H.; Sekimoto, H.; von Numers, C.; Phillips, A.L.; Hedden, P.; Kamiya, Y. Cloning and characterization of a cDNA encoding gibberellin 20-oxidase from rice (Oryza sativa) seedlings. Physiologia Plantarum 1997, 99, 111–118. [Google Scholar] [CrossRef]
  42. Zhang, Q.-Q.; Wang, J.-G.; Wang, L.-Y.; Wang, J.-F.; Wang, Q.; Yu, P.; Bai, M.-Y.; Fan, M. Gibberellin repression of axillary bud formation in Arabidopsis by modulation of DELLA-SPL9 complex activity. J. Integr. Plant Biol. 2019. [Google Scholar] [CrossRef] [Green Version]
  43. Liu, H.-J.; Huang, C.-P.; Tong, P.-J.; Yang, X.; Cui, M.-M.; Cheng, Z.-H. Response of axillary bud development in garlic (Allium sativum L.) to seed cloves soaked in gibberellic acid (GA3) solution. J. Integr. Agric. 2020, 19, 1044–1054. [Google Scholar] [CrossRef]
  44. Koorneef, M.; Elgersma, A.; Hanhart, C.J.; van Loenen-Martinet, E.P.; van Rijn, L.; Zeevaart, J.A.D. A gibberellin insensitive mutant of Arabidopsis thaliana. Physiologia Plantarum 1985, 65, 33–39. [Google Scholar] [CrossRef]
  45. Zawaski, C.; Busov, V.B. Roles of gibberellin catabolism and signaling in growth and physiological response to drought and short-day photoperiods in Populus trees. PLoS ONE 2014, 9, e86217. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  46. Scott, T.K.; Case, D.B.; Jacobs, W.P. Auxin-gibberellin interaction in apical dominance. Plant Physiol. 1967, 42, 1329–1333. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  47. Aguilar-Martínez, J.A.; Poza-Carrión, C.; Cubas, P. Arabidopsis BRANCHED1 acts as an integrator of branching signals within axillary buds. Plant Cell 2007, 19, 458–472. [Google Scholar] [CrossRef]
  48. Mauriat, M.; Sandberg, L.G.; Moritz, T. Proper gibberellin localization in vascular tissue is required to control auxin-dependent leaf development and bud outgrowth in hybrid aspen. Plant J. 2011, 67, 805–816. [Google Scholar] [CrossRef]
  49. Liao, Z.; Yu, H.; Duan, J.; Yuan, K.; Yu, C.; Meng, X.; Kou, L.; Chen, M.; Jing, Y.; Liu, G.; et al. SLR1 inhibits MOC1 degradation to coordinate tiller number and plant height in rice. Nat. Commun. 2019, 10, 2738. [Google Scholar] [CrossRef] [Green Version]
  50. Band, L.R.; Preston, S.P. Parameter inference to motivate asymptotic model reduction: An analysis of the gibberellin biosynthesis pathway. J. Theor. Biol. 2018, 457, 66–78. [Google Scholar] [CrossRef] [Green Version]
  51. Wang, Y.; Wang, J.; Shi, B.; Yu, T.; Qi, J.; Meyerowitz, E.M.; Jiao, Y. The stem cell niche in leaf axils is established by auxin and cytokinin in Arabidopsis. Plant Cell 2014, 26, 2055–2067. [Google Scholar] [CrossRef] [Green Version]
  52. Emery, R.J.N.; Longnecker, N.E.; Atkins, C.A. Branch development in Lupinus angustifolius L. II. Relationship with endogenous ABA, IAA and cytokinins in axillary and main stem buds. J. Exp. Bot. 1998, 49, 555–562. [Google Scholar]
  53. Zhuang, L.; Ge, Y.; Wang, J.; Yu, J.; Yang, Z.; Huang, B. Gibberellic acid inhibition of tillering in tall fescue involving crosstalks with cytokinins and transcriptional regulation of genes controlling axillary bud outgrowth. Plant Sci. 2019, 287, 110168. [Google Scholar] [CrossRef] [PubMed]
  54. Wang, Y.; Jiao, Y.L. Axillary meristem initiation—A way to branch out. Curr. Opin. Plant Biol. 2018, 41, 61–66. [Google Scholar] [CrossRef] [PubMed]
  55. Yang, C.; Liu, J.; Dong, X.; Cai, Z.; Tian, W.; Wang, X. Short-term and continuing stresses differentially interplay with multiple hormones to regulate plant survival and growth. Mol. Plant 2014, 7, 841–855. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  56. Wang, Q.; Kohlen, W.; Rossmann, S.; Vernoux, T.; Theres, K. Auxin depletion from the leaf axil conditions competence for axillary meristem formation in Arabidopsis and tomato. Plant Cell 2014, 26, 2068. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  57. Pautler, M.; Tanaka, W.; Hirano, H.-Y.; Jackson, D. Grass meristems I: Shoot apical meristem maintenance, axillary meristem determinacy and the floral transition. Plant Cell Physiol. 2013, 54, 302–312. [Google Scholar] [CrossRef]
  58. Patrick, J.W.; Botha, F.C.; Birch, R.G. Metabolic engineering of sugars and simple sugar derivatives in plants. Plant Biotechnol. J. 2013, 11, 142–156. [Google Scholar] [CrossRef]
  59. Bonhomme, M.; Peuch, M.; Ameglio, T.; Rageau, R.; Guilliot, A.; Decourteix, M.; Alves, G.; Sakr, S.; Lacointe, A. Carbohydrate uptake from xylem vessels and its distribution among stem tissues and buds in walnut (Juglans regia L.). Tree Physiol. 2009, 30, 89–102. [Google Scholar] [CrossRef] [Green Version]
  60. Lv, X.; Zhang, M.; Wu, Y.; Gao, X.; Li, X.; Wang, W. The roles of auxin in regulating “shoot branching” of Cremastra appendiculata. J. Plant Growth Regul. 2017, 36, 281–289. [Google Scholar] [CrossRef]
  61. Rabot, A.; Henry, C.; Ben Baaziz, K.; Mortreau, E.; Azri, W.; Lothier, J.; Hamama, L.; Boummaza, R.; Leduc, N.; Pelleschi-Travier, S.; et al. Insight into the role of sugars in bud burst under light in the rose. Plant Cell Physiol. 2012, 53, 1068–1082. [Google Scholar] [CrossRef] [Green Version]
  62. Singhania, R.R.; Patel, A.K.; Pandey, A.; Ganansounou, E. Genetic modification: A tool for enhancing beta-glucosidase production for biofuel application. Bioresource Technol. 2017, 245, 1352–1361. [Google Scholar] [CrossRef]
  63. Otori, K.; Tamoi, M.; Tanabe, N.; Shigeoka, S. Enhancements in sucrose biosynthesis capacity affect shoot branching in Arabidopsis. Biosci. Biotechnol. Biochem. 2017, 81, 1470–1477. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  64. Salam, B.B.; Malka, S.K.; Zhu, X.; Gong, H.; Ziv, C.; Teper-Bamnolker, P.; Ori, N.; Jiang, J.; Eshel, D. Etiolated stem branching Is a result of systemic signaling associated with sucrose level. Plant Physiol. 2017, 175, 734–745. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  65. Marquat, C.; Vandamme, M.; Gendraud, M.; Pétel, G. Dormancy in vegetative buds of peach: Relation between carbohydrate absorption potentials and carbohydrate concentration in the bud during dormancy and its release. Sci. Hortic. 1999, 79, 151–162. [Google Scholar] [CrossRef]
  66. Richardson, A.C.; Walton, E.F.; Meekings, J.S.; Boldingh, H.L. Carbohydrate changes in kiwifruit buds during the onset and release from dormancy. Sci. Hortic. 2010, 124, 463–468. [Google Scholar] [CrossRef]
  67. Sherson, S.M.; Alford, H.L.; Forbes, S.M.; Wallace, G.; Smith, S.M. Roles of cell-wall invertases and monosaccharide transporters in the growth and development of Arabidopsis. J. Exp. Bot. 2003, 54, 525–531. [Google Scholar] [CrossRef] [Green Version]
  68. Jin, Y.; Ni, D.-A.; Ruan, Y.-L. Posttranslational elevation of cell wall invertase activity by silencing its inhibitor in tomato delays leaf senescence and increases seed weight and fruit hexose level. Plant Cell 2009, 21, 2072–2089. [Google Scholar] [CrossRef] [Green Version]
  69. Heyer, A.G.; Raap, M.; Schroeer, B.; Marty, B.; Willmitzer, L. Cell wall invertase expression at the apical meristem alters floral, architectural, and reproductive traits in Arabidopsis thaliana. Plant J. 2004, 39, 161–169. [Google Scholar] [CrossRef]
  70. Yang, J.; Zhang, J.; Wang, Z.; Zhu, Q.; Wang, W. Hormonal changes in the grains of rice subjected to water stress during grain filling. Plant Physiol. 2001, 127, 315–323. [Google Scholar] [CrossRef] [Green Version]
  71. Zhao, J.; Li, G.; Yi, G.-X.; Wang, B.-M.; Deng, A.-X.; Nan, T.-G.; Li, Z.-H.; Li, Q.X. Comparison between conventional indirect competitive enzyme-linked immunosorbent assay (icELISA) and simplified icELISA for small molecules. Anal. Chim. Acta 2006, 571, 79–85. [Google Scholar] [CrossRef]
  72. Wu, C.N.; Wang, M.Y.; Cheng, Z.H.; Meng, H.W. Response of garlic (Allium sativum L.) bolting and bulbing to temperature and photoperiod treatments. Biol. Open. 2016, 5, 507–518. [Google Scholar] [CrossRef] [Green Version]
  73. Liu, L.; Wang, Z.; Liu, J.; Liu, F.; Zhai, R.; Zhu, C.; Wang, H.; Ma, F.; Xu, L. Histological, hormonal and transcriptomic reveal the changes upon gibberellin-induced parthenocarpy in pear fruit. Hortic. Res. 2018, 5, 1. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  74. Hu, W.; Sun, D.-W.; Blasco, J. Rapid monitoring 1-MCP-induced modulation of sugars accumulation in ripening ‘Hayward’ kiwifruit by Vis/NIR hyperspectral imaging. Postharvest Biol. Technol. 2017, 125, 168–180. [Google Scholar] [CrossRef]
  75. DuBois, M.; Gilles, K.A.; Hamilton, J.K.; Rebers, P.A.; Smith, F. Colorimetric method for determination of sugars and related substances. Anal. Chem. 1956, 28, 350–356. [Google Scholar] [CrossRef]
  76. Bradford, M.M. A rapid and sensitive method for the quantitation of microgram quantities of protein utilizing the principle of protein-dye binding. Anal. Biochem. 1976, 72, 248–254. [Google Scholar] [CrossRef]
  77. Grabherr, M.G.; Haas, B.J.; Yassour, M.; Levin, J.Z.; Thompson, D.A.; Amit, I.; Adiconis, X.; Fan, L.; Raychowdhury, R.; Zeng, Q.; et al. Full-length transcriptome assembly from RNA-Seq data without a reference genome. Nat. Biotechnol. 2011, 29, 644. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  78. Mortazavi, A.; Williams, B.A.; McCue, K.; Schaeffer, L.; Wold, B. Mapping and quantifying mammalian transcriptomes by RNA-Seq. Nat. Methods 2008, 5, 621. [Google Scholar] [CrossRef] [PubMed]
  79. Robinson, M.D.; McCarthy, D.J.; Smyth, G.K. edgeR: A Bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics 2009, 26, 139–140. [Google Scholar] [CrossRef] [Green Version]
  80. Liu, M.; Wu, Z.; Jiang, F.L. Selection and validation of garlic reference genes for quantitative real-time PCR normalization. Plant Cell Tiss. Org. 2015, 122, 435–444. [Google Scholar] [CrossRef]
Figure 1. Histological studies on axillary meristem (bud) development in the control group and gibberellins GA3 group. Meristem or bud development were observed at 30 (A), 90 (C), 120 (E) and 150 (G) days after water treatment. Meristem and bud development were observed at 30 (B), 90 (D), 120 (F) and 150 (H) days after GA3 treatment. Staining solution was 1% safranin in A, B, C and D. Scale bars in A, B, C and D are 200 μm in length. Scale bars in E and F are 1 mm in length. Scale bars in G and H are 2 mm in length. After harvest, bulb structure was analyzed between control and GA3 treatment. (I) A model for recording the clove number per bulb and whorl number per bulb. (J) Photographs showing representative bulb structure between control and GA3 treatment. Scale bar = 1.5 cm. (K) Effect of injection of GA3 on clove number and whorl number of garlic. Values are mean (n = 10) for (K). Student’s t-test was used to determine significant differences between the control group and GA3 treatment group in (K). Significance levels: ** p < 0.01.
Figure 1. Histological studies on axillary meristem (bud) development in the control group and gibberellins GA3 group. Meristem or bud development were observed at 30 (A), 90 (C), 120 (E) and 150 (G) days after water treatment. Meristem and bud development were observed at 30 (B), 90 (D), 120 (F) and 150 (H) days after GA3 treatment. Staining solution was 1% safranin in A, B, C and D. Scale bars in A, B, C and D are 200 μm in length. Scale bars in E and F are 1 mm in length. Scale bars in G and H are 2 mm in length. After harvest, bulb structure was analyzed between control and GA3 treatment. (I) A model for recording the clove number per bulb and whorl number per bulb. (J) Photographs showing representative bulb structure between control and GA3 treatment. Scale bar = 1.5 cm. (K) Effect of injection of GA3 on clove number and whorl number of garlic. Values are mean (n = 10) for (K). Student’s t-test was used to determine significant differences between the control group and GA3 treatment group in (K). Significance levels: ** p < 0.01.
Plants 09 00970 g001
Figure 2. Effect of injecting plants with GA3 on the level of zeatin riboside (ZR) (A), indole-3-acetic acid (IAA) (B), abscisic acid (ABA) (C), GA3 (D) and GA4 (E) in 1 cm-thick stems of garlic. Values are the means ± SD (n = 4) and Student’s t-test was used to determine significant differences at the same period between the control group and GA3 treatment group. Significance levels: * p < 0.05.
Figure 2. Effect of injecting plants with GA3 on the level of zeatin riboside (ZR) (A), indole-3-acetic acid (IAA) (B), abscisic acid (ABA) (C), GA3 (D) and GA4 (E) in 1 cm-thick stems of garlic. Values are the means ± SD (n = 4) and Student’s t-test was used to determine significant differences at the same period between the control group and GA3 treatment group. Significance levels: * p < 0.05.
Plants 09 00970 g002
Figure 3. Effect of injecting plants with GA3 on sugars content and soluble protein content in 1 cm-thick stems of garlic: (A) soluble sugar, (B) soluble protein, (C) sucrose, (D) glucose, and (E) fructose. Values are the means ± SD (n = 4) and Student’s t-test was used to determine significant difference at the same period between the control group and GA3 treatment group. Significance levels: * p < 0.05.
Figure 3. Effect of injecting plants with GA3 on sugars content and soluble protein content in 1 cm-thick stems of garlic: (A) soluble sugar, (B) soluble protein, (C) sucrose, (D) glucose, and (E) fructose. Values are the means ± SD (n = 4) and Student’s t-test was used to determine significant difference at the same period between the control group and GA3 treatment group. Significance levels: * p < 0.05.
Plants 09 00970 g003
Figure 4. DEGs annotation and enrichment in response to GA3 treatment. (A) Distribution of the DEGs at 2 days after GA3 treatment. The selected level of DEGs was |log2(Fold Change)| > 1. (B) GO (Gene Ontology) enrichment of DEGs from GA3 treatment versus control. BP: biology process. MF: molecular function. (C) KEGG (Kyoto Encyclopedia of Genes and Genomes) enrichment of DEGs from GA3 treatment versus control.
Figure 4. DEGs annotation and enrichment in response to GA3 treatment. (A) Distribution of the DEGs at 2 days after GA3 treatment. The selected level of DEGs was |log2(Fold Change)| > 1. (B) GO (Gene Ontology) enrichment of DEGs from GA3 treatment versus control. BP: biology process. MF: molecular function. (C) KEGG (Kyoto Encyclopedia of Genes and Genomes) enrichment of DEGs from GA3 treatment versus control.
Plants 09 00970 g004
Figure 5. The expression of six key unigenes in stems under GA3 treatment versus control (water treatment) at 2, 4, 8, 16 and 32 DAT: (A) AsGA20ox, (B) AsAUX, (C) AsCYP735, (D) AsAHK, (E) AsINV and (F) AsBGLU31. Data represent mean ± SD of three biological replicates, with transcripts normalized to Allium sativum actin. DAT, days after treatment. Significance level: * p < 0.05.
Figure 5. The expression of six key unigenes in stems under GA3 treatment versus control (water treatment) at 2, 4, 8, 16 and 32 DAT: (A) AsGA20ox, (B) AsAUX, (C) AsCYP735, (D) AsAHK, (E) AsINV and (F) AsBGLU31. Data represent mean ± SD of three biological replicates, with transcripts normalized to Allium sativum actin. DAT, days after treatment. Significance level: * p < 0.05.
Plants 09 00970 g005
Figure 6. PCA (A) and (B) loading plots of principal components 1 and 2 obtained from phytohormone level, sugars content, soluble content and expression level of key genes in stems of GA3-treated plants and water-treated plants (control) at 2, 4, 8, 16 and 32 DAT.
Figure 6. PCA (A) and (B) loading plots of principal components 1 and 2 obtained from phytohormone level, sugars content, soluble content and expression level of key genes in stems of GA3-treated plants and water-treated plants (control) at 2, 4, 8, 16 and 32 DAT.
Plants 09 00970 g006
Figure 7. A summary of patterns for GA-induced axillary bud formation in garlic: (A) cross-talk of phytohormone and sugar in the process of axillary meristem development of garlic, (B) axillary bud (clove) development under water (control) and GA3 treatment. Symbols: red arrows indicate upregulation and blue arrows indicate downregulation in (A).
Figure 7. A summary of patterns for GA-induced axillary bud formation in garlic: (A) cross-talk of phytohormone and sugar in the process of axillary meristem development of garlic, (B) axillary bud (clove) development under water (control) and GA3 treatment. Symbols: red arrows indicate upregulation and blue arrows indicate downregulation in (A).
Plants 09 00970 g007
Table 1. Transcriptome data output quality list.
Table 1. Transcriptome data output quality list.
Sample NameRaw ReadsClean ReadsClean BasesError Rate (%)Q20 (%)Q30 (%)GC Content (%)Total Mapped
Control-184,276,91483,119,41212.47G0.0197.6994.1143.5363,037,528 (75.84%)
Control-276,333,54273,699,37411.05G0.0296.8692.2443.0556,814,448 (77.09%)
Control-383,928,40482,410,30612.36G0.0198.195.142.864,086,848 (77.77%)
GA3-183,633,55082,546,46412.38G0.0197.7894.2843.3464,036,932 (77.58%)
GA3-283,869,61282,222,79412.33G0.0198.1495.1942.9263,589,684 (77.34%)
GA3-391,727,80490,117,50813.52G0.0198.1695.2243.0569,904,142 (77.57%)
Raw reads: statistics of the original sequence data. Clean reads: the reads removing low-quality reads. Q20 and Q30: the percentage of bases with Phred values > 20 and 30, respectively. GC content: the GC ratio of total base number. Total mapped: the number of reads which can be mapped to the reference genome.
Table 2. Key unigenes (based on physiological analysis) in the GA3 treatment and the corresponding unigenes in the control.
Table 2. Key unigenes (based on physiological analysis) in the GA3 treatment and the corresponding unigenes in the control.
Unigene IDFPKMLog2FCSwissport Annotation
ControlGA3 Treatment
Cluster-32430.713910.86 ± 0.090.02 ± 0.05−4.84Gibberellin 20 oxidase 2 (GA20ox2)
Cluster-32430.953972.58 ± 0.842.84 ± 0.91−0.14Transcription factor PIF4 (PIF4)
Cluster-15446.00 ± 00.3 ± 0.274.91Cytokinin hydroxylase (CYP735)
Cluster-32430.986250.06 ± 0.120.44 ± 0.232.73Histidine kinase (AHK)
Cluster-32430.17214813.41 ± 10.436.24 ± 2.01−1.10Auxin-induced protein (AUX)
Cluster-32430.1181336.41 ± 1.075.11 ± 1.08−0.33Auxin response factor 19 (ARF19)
Cluster-32430.14358216.9 ± 5.2726.5 ± 13.780.786(G)-fructosyltransferase (INV)
Cluster-32430.1900121.4 ± 0.150.23 ± 0.36−2.51Beta-glucosidase 31 (BGLU31)
Cluster-32430.46081.47 ± 0.760 ± 0−12.71Beta-glucosidase 25 (BGLU25)
Cluster-32430.1327540.17 ± 0.150.74 ± 0.092.211,4-alpha-glucan-branching enzyme 3 (GBE3)
Cluster-49254.00.43 ± 0.120.32 ± 0.11−0.42WUSCHEL-related homeobox 3 (WOX3)
Cluster-32430.1730425.86 ± 2.844.07 ± 1.12−0.53WUSCHEL-related homeobox 10 (WOX10)
FPKM represents unigene expression level that is normalized by FPKM (fragments per kilobase per million mapped reads) approach. The unigenes in bold are differentiated expression genes (DEGs) between control and GA3 treatment samples at 2 days after treatment.

Share and Cite

MDPI and ACS Style

Liu, H.; Wen, Y.; Cui, M.; Qi, X.; Deng, R.; Gao, J.; Cheng, Z. Histological, Physiological and Transcriptomic Analysis Reveal Gibberellin-Induced Axillary Meristem Formation in Garlic (Allium sativum). Plants 2020, 9, 970. https://doi.org/10.3390/plants9080970

AMA Style

Liu H, Wen Y, Cui M, Qi X, Deng R, Gao J, Cheng Z. Histological, Physiological and Transcriptomic Analysis Reveal Gibberellin-Induced Axillary Meristem Formation in Garlic (Allium sativum). Plants. 2020; 9(8):970. https://doi.org/10.3390/plants9080970

Chicago/Turabian Style

Liu, Hongjiu, Yanbin Wen, Mingming Cui, Xiaofang Qi, Rui Deng, Jingcao Gao, and Zhihui Cheng. 2020. "Histological, Physiological and Transcriptomic Analysis Reveal Gibberellin-Induced Axillary Meristem Formation in Garlic (Allium sativum)" Plants 9, no. 8: 970. https://doi.org/10.3390/plants9080970

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