Next Article in Journal
Zinc Finger Proteins in the Human Fungal Pathogen Cryptococcus neoformans
Previous Article in Journal
Regulatory Mechanisms of Mitochondrial Function and Cardiac Aging
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
IJMS
Volume 21
Issue 4
10.3390/ijms21041360
ijms-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Molecular Evidences for the Interactions of Auxin, Gibberellin, and Cytokinin in Bent Peduncle Phenomenon in Rose (Rosa sp.)

by
Weikun Jing
1,
Shuai Zhang
2,
Youwei Fan
1,
Yinglong Deng
1,
Chengpeng Wang
1,
Jingyun Lu
1,
Xiaoming Sun
1,
Nan Ma
1,
Muhammad Owais Shahid
1,
Yonghong Li
2,* and
Xiaofeng Zhou
1,*
1
Beijing Key Laboratory of Development and Quality Control of Ornamental Crops, Department of Ornamental Horticulture, China Agricultural University, Beijing 100193, China
2
School of Applied Chemistry and Biotechnology, Shenzhen Polytechnic, Shenzhen 518055, China
*
Authors to whom correspondence should be addressed.
Int. J. Mol. Sci. 2020, 21(4), 1360; https://doi.org/10.3390/ijms21041360
Submission received: 18 December 2019 / Revised: 8 February 2020 / Accepted: 14 February 2020 / Published: 18 February 2020
(This article belongs to the Section Molecular Plant Sciences)
Browse Figures
Versions Notes

Abstract

:
In roses (Rosa sp.), peduncle morphology is an important ornamental feature. The common physiological abnormality known as the bent peduncle phenomenon (BPP) seriously decreases the quality of rose flowers and thus the commercial value. Because the molecular mechanisms underlying this condition are poorly understood, we analysed the transcriptional profiles and cellular structures of bent rose peduncles. Numerous differentially expressed genes involved in the auxin, cytokinin, and gibberellin signaling pathways were shown to be associated with bent peduncle. Paraffin sections showed that the cell number on the upper sides of bent peduncles was increased, while the cells on the lower sides were larger than those in normal peduncles. We also investigated the large, deformed sepals that usually accompany BPP and found increased expression level of some auxin-responsive genes and decreased expression level of genes that are involved in cytokinin and gibberellin synthesis in these sepals. Furthermore, removal of the deformed sepals partially relieved BPP. In summary, our findings suggest that auxin, cytokinin, and gibberellin all influence the development of BPP by regulating cell division and expansion. To effectively reduce BPP in roses, more efforts need to be devoted to the molecular regulation of gibberellins and cytokinins in addition to that of auxin.

1. Introduction

Peduncle morphology directly affects the yield and ornamental value of flowering plants. In roses, bent peduncle (BP) is a common phenomenon that substantially decreases the commercial productivity of plants. Interestingly, BP is always accompanied by a deformed sepal on the lower side of the peduncle, and the diameter of the peduncle is wider than normal [1]. The incidence of the bent peduncle phenomenon (BPP) varies with species and environmental conditions but is generally about 10–30% [1]. For example, the incidence of BPP in the cultivar ‘Beast’ in Korea can be as high as 20% in summer [2], whereas the annual BPP frequency in the cultivar ‘Peach Avalanche’ in China is in the 15–25% range.
The bending of plant organs results from asymmetric growth of the two sides of the organ and is known to be controlled by phytohormones [3], among which auxin (indole-3-acetic acid, IAA, and related compounds) plays a vital role. Auxin is synthesized mainly in the young shoot apex, leaf, and root tip and is then differentially distributed among tissues through polar transport [4]. Apical-hook development in Arabidopsis thaliana is divided into three stages: formation, maintenance and opening, then the formation of BP is accompanied by the formation of flower buds, and it will not open again. Dynamic and differential distribution of auxin controls cell division, cell expansion, and cell differentiation to modulate plant growth and development [4].
Auxin is perceived by co-receptors, the TRANSPORT INHIBITOR RESPONSE 1/AUXIN SIGNALING F-BOX PROTEINS (TIR1/AFBs) and Auxin/INDOLE ACETIC ACID (Aux/IAA), stimulating ubiquitination of Aux/IAAs by the E3 ligase complex and degradation by the proteasome complex, and subsequently regulating plant growth by activating auxin-response factors (ARFs) and promoting the transcription of auxin-responsive genes [4,5,6,7]. For example, DFL1 and YDK1, two auxin-responsive GH3 proteins in Arabidopsis thaliana (Arabidopsis), have been characterized by mutant analysis as negative regulatory factors affecting shoot and hypocotyl cell elongation and lateral root formation [8,9]. ARF7 manipulates extensive cell growth by up-regulating the expression of EXPA8 [10], thus leading to changes in cell wall properties [11,12].
Two other phytohormones, such as cytokinin (CTK) and gibberellin (GA), interact with auxin to regulate various growth patterns and developmental processes. Cytokinin signaling affects the auxin gradient in cambial cells, regulating meristematic activity [13]. Isopentenyl transferase (IPT), CTK nucleoside 5’-monophosphatephosphoribohydrolase (LOG), and members of the cytokinin oxidase/dehydrogenase protein (CKX) family are involved in CTK biosynthesis and degradation [14,15,16]. In Arabidopsis, ckx3 ckx5 double mutants formed a stronger stem, with about a 15% larger diameter, compared with the wild type, corroborating the role of CTK in regulating stem size [17]. The CTK signaling-transduction pathway is a two-component system based phosphorelay that transmits a signal from the receptors to the downstream Arabidopsis response regulators (ARRs) through histidine. Among the ARRs, the expression of the type-A ARRs (ARR3–ARR9 and ARR15–ARR17) is rapidly induced by CTK, and the type-A ARRs, in turn, act as negative regulators of CTK signaling [18]. Type-A ARR proteins are reported to be regulated by a combinatorial mechanism involving both the CTK and proteasome pathways, thereby executing distinctive functions in plant growth and development [19].
The GA pathway acts as a key regulator of rose growth and development. Applications of GA1 and GA3 to axillary shoots in March inhibited floral development [20]. Previous study suggests that signals from the flower development stimulate GA biosynthesis in the sepals, which derive GAs appearing to be mainly involved in other development in rose [21,22]. The effect of GA on peduncle elongation of two rose cultivars (‘Nubia’ and ‘Mercedes’) was antagonized by combined application with cytokinin. Auxin and GA were involved in regulating peduncle strength (resistance to bending), which affected more strongly by auxin than by GA, and most strongly when auxin and gibberellin were combined [23]. Gibberellins [24] also modulate many developmental processes, including stem growth and hypocotyl elongation [25,26,27]. Genetic evidence suggests that GAs promote stem elongation in pea [28,29]. GAs are also reported to induce the expression of HOOKLESS 1 (HLS1) associated with ETHYLENE INSENSITIVE 3/EIN3-LIKE 1 (EIN3/EIL1), promoting apical hook formation in Arabidopsis [30]. The rice genes OsGA3ox1, OsGA3ox2, and OsGA2ox3 encode proteins that are thought to catalyze the formation and accumulation of bioactive GAs [31,32]. A study in apple showed that MdGA20-ox is a key enzyme involved in GA biosynthesis and plays a significant role in vegetable growth, reducing the active GA content in RNAi-MdGA20-ox lines [33]. In tomato, GA2 oxidase 7, a class III GA 2-oxidase in the GA biosynthetic pathway, promotes internode elongation [34], suggesting a broader role of GA biosynthetic genes in organ-specific elongation.
In the present study, we investigated the transcriptional profile and cellular composition of BP in rose, uncovering the combined effects of auxin, cytokinin, and gibberellin on the BPP. These results should provide significant insight into the regulatory mechanisms underlying the development of bent organs in plants.

2. Results

2.1. Morphological Characteristics and Cellular Aspects of BP in Rose

In the present study, we investigated six rose varieties (‘Peach Avalanche’, ‘Awakening’, ‘Jinhui’, ‘Carola’, ‘Chanel’, and ‘Song of Ocean’). The percentage of BPs in all varieties was the highest in summer and autumn. There were also significant differences in BP percentages among the six varieties, with Peach Avalanche and Awakening being the most prone to BPs, with incidence rates as high as 21% and 25%, respectively, in the summer months (Figure 1D). BP of rose is characterized by bending and increased diameter of the peduncle during development, accompanied by an enlarged sepal (Figure 1). To further investigate BP at the cellular level, we harvested the normal and bent rose peduncles, cut them along the central axis of the stem (resulting in samples N1 and N2 for the normal peduncles and B_upper and B_lower for the bent peduncles), and compared the morphology of their cortex parenchymal cells by paraffin section analysis (Supplementary Figure S1). Transverse sections of BP showed that the cells of B_lower were bigger than those of B_upper, whereas there was no obvious difference between cells from N1 and N2 (Figure 2A,B). Furthermore, the cell number of B_lower was significantly fewer than that of B_upper (Figure 2C). Subsequently, we compared the numbers of different types of cells in longitudinal sections of the same length between B_lower and B_upper (and between N1 and N2 as a control). There were significant differences between the BP (but not NP) samples from the two sides in the numbers of pro-phloem and pro-xylem cells, but not cortex parenchyma cells (Figure 2D–F). These results indicate that BP is caused by an asymmetry in the size and number of cells on either side of the central axis of the peduncle.

2.2. Transcriptome Sequencing of BP in Rose

To investigate the molecular mechanisms underlying BPP, we sequenced the transcriptomes of samples from NP and BP. We obtained the same two types of BP samples as before (B_upper and B_lower), as well as NP samples from along the central axis, at stage 1, in three biological replicates each, and used these to construct RNA-seq libraries (for a total of 9; Figure 2A). The RNA-seq analysis showed a total transcript length of 526,553,361 paired-end reads. De novo assembly of these high-quality cleaned reads generated 38,401 unique transcripts, with an average length of 2,021 bp (Table 1 and Supplementary Table S1). Calculating the Pearson correlation coefficients of the transcriptome profiles among the nine libraries and the biological replicates suggested the validity of our RNA sequence dataset with a high correlation (Figure 3A). To further validate the expression profiles of the RNA-seq data, we subjected six selected transcripts to further analysis by qRT-PCR. The results from the qRT-PCR analysis are generally consistent with the expression profiles obtained by RNA-seq, suggesting that the RNA-seq results were reliable (Figure 3B).

2.3. Dynamic Transcriptome of BP

A total of 4,795 differentially expressed genes (DEGs) were identified between the two sides of the normal and bending peduncles at developmental stage 1 by comparing the transcript abundances of genes using a cutoff ratio of >2 or <0.5. The comparison of B_upper with B_lower yielded 1008 up-regulated and 1027 down-regulated DEGs; the comparison between B_upper and N yielded 813 up-regulated and 552 down-regulated DEGs; and the comparison of B_lower with N yielded 791 up-regulated and 604 down-regulated DEGs (Figure 4A). We identified a total of 2620 DEGs whose expression differed significantly between all three groups, and focused on these for further analysis (Figure 4B).
To evaluate the potential functions of these DEGs in the development of rose peduncles, we identified gene ontology (GO) terms for the DEGs. DEGs were classified into 24 GO function enrichment. The most significantly enriched GO terms included the following: ‘plasma membrane’, ‘protein serine/threonine kinase activity’, ‘protein phosphorylation’, ‘signal transduction’, ‘cell wall’, ‘auxin-activated signaling pathway’, ‘unidimensional cell growth’, ‘cell surface receptor signaling pathway’, ‘response to gibberellin’, and ‘cytokinin-activated signaling pathway’ (Figure 4C). DEGs were classified as enriched for genes involved in 21 KEGG pathways. These results revealed that genes involved in hormone pathways were the largest group, with 91 DEGs. In addition, the results of assigning DEGs to pathways in the KEGG database showed that ‘Plant-pathogen interaction’, ‘Starch and sucrose metabolism’, and ‘Plant hormone signal transduction’ were significant enriched among the DEGs identified (Figure 4D).

2.4. The Phytohormones Auxin, Cytokinin, and Gibberellin are Involved in BPP

Previous studies have established that auxin is involved in BPP [1,2], but the exact mechanism was unclear. Here, we determined that among the 96 hormone-related DEGs in the BP transcriptome, 36, 15, and 14 are involved in the auxin, cytokinin, and gibberellin pathways, respectively (Supplementary Figure S2, Table 2, Table 3 and Table 4). Therefore, we speculated that other factors besides these phytohormones may also affect BP development.
To test this hypothesis this possibility, we first used real-time quantitative RT-PCR to assess the expression of genes involved in auxin signaling. The expression of RhTIR1, a key receptor in the auxin signaling pathway [35], was down-regulated in the upper side of BPs (B_upper) as compared to the lower side (B_lower), whereas there was no significant difference in RhTIR1 expression levels between the two sides of NPs (N1 and N2) (Figure 5). Since a recent study of the auxin-TMK1 signaling pathway demonstrated that the receptor-like transmembrane kinase 1 (TMK1) could be triggered by high levels of auxin in Arabidopsis [36], we verified the expression of its homologue in rose. RhTMK1 expression was lower in the upper side than in the lower side of BPs (Figure 5). The expression of the other six auxin-response genes—RhIAA4-like, RhIAA5, RhIAA6, RhIAA32, RhARF2, and RhARF7—also showed the same trend (Figure 5). Furthermore, the expression of the auxin transport marker genes RhABCB1, RhABCB19, and RhPIN3 was significantly reduced in the upper side of BPs (Figure 5). These results suggest that auxin signal transduction in the upper side of BPs is inactive compare to that in the lower side.
We also examined the expression of cytokinin- and GA-related genes in both sides of BPs. The expression of RhARR3 and RhARR8, the rose homologues of Arabidopsis response regulator 3 (ARR3) and ARR8—two type-A response regulators rapidly induced by cytokinin [37]—was significantly greater in the upper vs. the lower side of BPs (Figure 6). Furthermore, RhGA20-ox and RhGA2-ox, two genes involved in GA biosynthesis, were also more highly expressed in the upper vs. the lower side of BP (Figure 6). These results indicate that there are significant different cytokinin and GA responses in the upper and lower sides of BPs.

2.5. The Effect of Enlarged, Deformed Sepals on BPP

BP of rose is always accompanied by an enlarged, deformed sepal. To explore whether the deformed sepal is related to BP, we analyzed the expressions of genes in the auxin, cytokinin, and gibberellin signaling pathways in deformed (BPP) and normal sepals. The expression of the auxin-biosynthesis-related gene RhTAR2 and the auxin-responsive gene RhGH3 were both significantly up-regulated in the deformed sepals (Figure 7A). The transcript levels of RhCKX1, which encodes a protein that catalyzes cytokinin degradation, were also dramatically elevated in deformed sepals, whereas those of a positive regulator of cytokinin synthesis, RhT5L1, were lower in deformed sepals (Figure 7B). In addition, two genes involved in gibberellin synthesis, RhGA20-ox and RhGA2-ox, had decreased expression levels in deformed sepals (Figure 7C). These results suggest that signal transduction of auxin, cytokinin, and gibberellin in the deformed sepals is uncoordinated compared with that in normal sepals.
Next, we carried out an experiment in which we removed the deformed sepal from plants showing early signs of BP. This treatment somewhat reduced the degree of curvature at a later growth period (Figure 7D,E). We speculate that the hormonal response of the deformed sepals partially affects the response of the peduncle to hormones, resulting in unequal cell division and expansion on the two sides of the peduncle, and eventually in BP.

3. Discussion

3.1. BPP is a Physiological Disorder with High Frequency in Rose

Reports of the frequent occurrence of BPP affecting rose quality date back a decade, and BPP frequency has been shown to depend on varieties and seasons [1,2]. Previous studies had suggested that the BPP is caused by difference in auxin distribution in the two sides of the peduncle [1,2]. Our results showed that cytokinins and gibberellins are also involved in the development of BPs in addition to auxin (Figure 4, Figure 5 and Figure 6).

3.2. Auxins, Cytokinins, and Gibberellins Regulate the Cell Division and Expansion of BP

The structure of a BP is hook-like, mainly as a result of different growth rates of the two sides of the peduncle (Figure 1). Previous studies have established that relative differences in cell division and expansion on each side of the hook contribute to the bending [3]. Our results showed the cortex parenchyma cells on the lower side of a BP are much larger than those on the upper side, suggesting that they have undergone different rates of expansion (Figure 2A–C, and Supplementary Figure S1). Differential growth in higher plants, especially bending, is generally closely connected with auxin gradients in response to environment cues [38,39]. Therefore, we further investigated the involvement of auxin-related genes in bending growth by analyzing the expression patterns of auxin signaling pathway components in BPs. Both transcriptome analysis and qRT-PCR results indicate that the transcripts of these auxin-receptor, auxin transportation, and auxin response genes accumulate more at the lower side of BPs than those on the upper side (Figure 3, Figure 4 and Figure 5).
A recent report demonstrated TMK1 could specifically interact with and phosphorylate the repressors of the AUX/IAA family (IAA32 and IAA34) to maintain a stable rate under high levels of auxin, thereby regulating auxin-response genes and inhibiting growth [36]. It is consistent that protein phosphorylation is also enriched in the DEGs of RNA-seq. Accordingly, protein phosphorylation may be involved in the regulation of BP. Our results indicate that RhTMK1 and RhIAA32 expression were lower in the lower vs. upper side of BPs, and cell growth was clearly inhibited in the lower side. Further studies have shown that the polarity of PINs determines the direction of auxin flow [40]. In our study, we observed that the auxin signaling pathway factors, whether upstream receptors, downstream response factors, or transporter expression levels, were significantly less abundant on the upper vs. lower side of BPs (Figure 5). We speculated that different auxin responses on the two sides of a BP were the important cause of peduncle bending.
Longitudinal sections of paraffin sections indicate that pro-phloem and pro-xylem cells were more abundant in the upper vs. lower sides of BPs (Figure 2D–F). Cytokinins are well known as a key regulators of plant cell division [41,42]. In roses, two cytokinin-signaling genes, RhARR3 and RhARR8, were up-regulated by cytokinin [37]. In this study, we identified 15 DEGs enriched in cytokinin signaling pathway by transcriptome analysis of BPs (Supplementary Figure S2, Table 4). Furthermore, we identified significant differences in the expression of RhARR3 and RhARR8 between the two sides of BPs (Figure 6A). We concluded that the cambial division activity on the upper side of BPs was higher than that on the lower side, possibly as a result of the differential distribution of cytokinin.
Gibberellins are known to control several aspects of plant growth and development, including stem elongation and leaf expansion [43]. The GA signal transduction pathway converts GA signal into gene expression and plant morphological changes. Mutant of the tomato GA biosynthetic related gene GA2oxidase 7 has an elongated hypocotyl and internodes [34]. We suspected that differential expression of RhGA20-ox and RhGA2-ox on the upper and lower sides of BPs may be responsible for the different BP phenotypes in rose.
We identified some DEGs related cell wall pathways, including cell wall macromolecule catabolic process, cell wall loosening, cell wall organization, cell wall biogenesis and secondary cell wall biogenesis (Supplementary Table S2). Our results suggest that auxins, cytokinins, and gibberellins all likely participate in influencing cell-expansion proteins and cell-wall-related genes, thereby co-regulating cell expansion.
Due to the appearance of deformed sepals caused by external conditions, it continuously supplies endogenous IAA, which leads to the asymmetrical distribution of auxin on both sides of the peduncle, resulting in a high concentration of local auxin (in B_lower side), which has the effect of inhibiting growth.
In addition, the distribution of cytokinin and gibberellin on both sides is also different, the levels of cytokinin and gibberellin are higher in the B_upper side peduncle. These results indicated that the BPP is affected by interactions of phytohormones.

3.3. The Deformed Sepal Affects BP Development

The typically enlarged and deformed sepal of BPP, which appears as a leaf-like structure, may be identified as a case of phyllody [44], in which the largest sepal transforms into a leaf-like structure around the time when the apical bud becomes visible, positioned below the bud at a distance varying from about 0.5 to 3 cm (Figure 1A). It was previously speculated that deformed sepals might influence peduncle bending [2], although there was little evidence for this. Our results here indicate that the response to auxin, cytokinin, and gibberellin in the deformed sepals is very similar to that in the lower side of the BP, with higher expression of auxin-pathway genes and lower expression of cytokinin-and gibberellin-related genes compared to normal sepals. Moreover, the bending angle of the peduncle can be eased to a certain extent by removal of the deformed sepals (Figure 7D). Because endogenous auxin and gibberellin could be biosynthesized in young leaves [1,6,45], deformed sepals may be one of the hormone sources that affect the development of adjacent stems and vascular bundles.
In fact, we had detected the expression of marker genes used in peduncle in the sepal, petal and stem which was supplemented in Supplementary Figure S3. The results showed these marker genes have different expression pattern in peduncle, sepal, petal and stem. However, the expression of these genes had not significant difference between normal and abnormal sepal. At the same time, we found other different expression genes responded to phytohormones in deformed sepal (Figure 7A–C). We speculate that it is possible that the regulation of plant hormones in the deformed sepals is the first step of forming the BP, while the effect of plant hormones in the peduncle is the second step. So, the plant hormone regulation patterns in the peduncle and sepal are different.

4. Materials and Methods

4.1. Plant Material

Roses (Rosa sp., cv. Peach Avalanche) were grown in glasshouses in Tonghai County, Yuxi City, Yunnan Province, China. Normal and bending rose peduncles were harvested at developmental stage 1 (The diameter of bud was about 1 cm) and then divided into two parts along the central axis about 0.5 cm below the bud. The peduncles for RNA extraction were collected and immediately placed in liquid nitrogen and stored at −80°C. And the removed deformed sepal (B_lower-sepal), symmetrically normal sepals (B_upper-sepal), and N1, N2-sepals for RNA extraction and RT-PCR analysis were collected and immediately placed in liquid nitrogen and stored at −80°C. The peduncles for paraffin section were immediately placed in FAA solution. All samples for RNA-seq and RNA extraction were at the same developmental stage. There are three biological replicates.
The six cultivars are ‘Peach Avalanche’, ‘Awakening’, ‘Jinhui’, ‘Carola’, ‘Chanel’, and ‘Ocean Song’. All cultivars were standard cut roses and tetraploid. ‘Peach Avalanche’, bred by Lex Voorn (Netherlands, 2007); ‘Awakening’, bred by Jan Böhm (Czechoslovakia (former), 1935); ‘Jinhui’, a bud mutation cultivar of ‘Rouge’ (Yunxiu flower Co., Ltd., Yunnan, China, 2013); ‘Carola’, bred by Carmi Carmel (Israel, 1991); ‘Chanel’, bred by Takeo Kunieda (Japan, 1995); ‘Ocean Song’, bred by Rosen-Tantau (Germany, 2000).

4.2. Total RNA Extraction and RNA-Seq Library Preparation

RNA-seq was performed using samples of normal and bending peduncles (Figure 1). Total RNA was extracted using the hot borate method as previously described and treated with RNase-free DNase I (Promega) to remove any contaminating genomic DNA. Three biological repeats were performed for every part of the above peduncles. Strand-specific RNA libraries constructed by technology from the pooled RNA from the above samples were sequenced with the Illumina 4000 sequence platform. The raw sequence data have been submitted to the NCBI Short Read Archive with accession code PRJNA554000.

4.3. RNA-Seq Data Processing, Assembly, and Annotation

The raw data generated by sequencing were pre-processed by removing adaptor-containing sequences, poly-N, and low-quality reads; in addition, reads shorter than 150 bp were removed with Q-value ≤10. We aligned the resulting valid, clean reads to the rose genome (https://lipm-browsers.toulouse.inra.fr/pub/RchiOBHm-V2/) using the HISAT package, which allows multiple alignments per read (up to 20 by default) and a maximum of two mismatches when mapping the reads to the reference genome. The mapped reads were assembled using the StringTie software, and all the transcriptomes were reconstructed into a complete transcriptome by using Perl scripts. StringTie and edgeR were used to calculate expression levels of all transcripts. DEGs were analyzed by GO enrichment analysis (gene ontology) and KEGG signaling pathway enrichment analysis (Kyoto Encyclopedia of Genes and Genomes).

4.4. Paraffin Section

The peduncle materials were placed into FAA fixative solution (18: 1: 1 (v/v/v) 70% ethanol: glacial acetic acid: formalin), immediately vacuum-dried until the stem tissue was fully covered by the fixative, and then stored at 4 °C for at least 48 h. The experiment was repeated three times. The samples were then washed three times with distilled water, immersed in a 1:1 (v/v) mixture of 50% ethanol:70% glycerol, and rapidly vacuum-dried, and the experiment was repeated three times. Gradient dehydration, transparency, and ethanol embedding were then performed successively. Section (the thickness of section is 12 µm), dewaxing, dyeing (placed on glass and cut in 0.02% toluidine blue solution for 5 min), dewaxing again, sealing (Canadian gum, quickly sealing the residual toluidine blue with cover glass) and observation. Photoshop and ImageJ were used for cell counting and length measurements.

4.5. Quantitative RT-PCR

To validate the RNA-seq results, the transcript abundance of selected genes was analyzed by qRT-PCR using methods previous described [46]. Briefly, total RNA was isolated from samples with three biological repeats, and 2 µL of the first-strand cDNA was used as template with the Step One Plus TM real-time PCR system (Applied Biosystems) using KAPA™ SYBRR FAST quantitative PCR kits (Kapa Biosystems). The RhUbi2 housekeeping gene was used as standard, which was validated in previous studies [47,48]. The primers used for determining transcript abundance are listed in Supplementary Table S3.

4.6. Removal of Deformed Sepal

We removed the deformed sepal of BP slightly with a blade and without damaging the stem. Hold the peduncle parallel to the leaf with your hand and remove the deformed sepal of BP slightly with a blade when diameter of flower bud is about 1 cm (developmental stage 1). Remove the deformed sepal when diameter of flower bud is about 1 cm (developmental stage 1). At the same time, the removed deformed sepal (B_lower-sepal) and symmetrically normal sepals (B_upper-sepal) for RNA extraction and RT-PCR analysis were collected immediately.

5. Conclusions

The results of our study reveal that phytohormones auxin, cytokinin, and gibberellin all play a role in regulating the BPP of rose.

Supplementary Materials

The following are available online at https://www.mdpi.com/1422-0067/21/4/1360/s1.

Author Contributions

Data curation, W.J. and S.Z.; Formal analysis, W.J., C.W.; Y.D. SHAHID, M.O. and J.L.; Funding acquisition, X.Z.; Methodology, Y.F., M.O.S.; Project administration, X.Z. and Y.L.; Supervision, N.M. and X.S.; Writing—original draft, W.J.; Writing—review and editing, N.M. and X.Z. All authors have read and agreed to the published version of the manuscript.

Funding

This project was supported by the National Key Research and Development Program (2018YFD1000404), National Natural Science Foundation of China (31522049) and 111 Project of Ministry of Education (B17043).

Acknowledgments

We thank Jinhui Duan (General Manager of Yunxiu Flower Company) for providing experiment materials and research laboratory. We thank Jie Wu, Fangfang Ji (Doctors in Education in CAU) for providing some analysis of transcriptome data. We thank LC-Bio Technology Company for providing the transcriptome analysis.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Zaccai, M.; Ackerman, R.; Genis, O.; Riov, J.; Zik, M. The bent peduncle phenomenon in roses is a developmental process involving auxin. Plant Sci. 2009, 176, 736–743. [Google Scholar] [CrossRef]
  2. Seo, J.H.; Kim, W.S. Growth, Floral Morphology, and Phytohormone Levels of Flowering Shoots with Bent Peduncle in Greenhouse-grown Cut Rose ‘Beast’. Korean J. Horticult. Sci. Tech. 2013, 31, 714–719. [Google Scholar] [CrossRef] [Green Version]
  3. Raz, V.; Koornneef, M. Cell division activity during apical hook development. Plant Physiol. 2001, 125, 219–226. [Google Scholar] [CrossRef] [Green Version]
  4. Powers, S.K.; Strader, L.C. Regulation of auxin transcriptional responses. Dev. Dyn. 2019, 139, 1–13. [Google Scholar]
  5. Choi, H.S.; Seo, M.; Cho, H.T. Two TPL-Binding Motifs of ARF2 Are Involved in Repression of Auxin Responses. Front Plant Sci. 2018, 9, 372. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  6. Vanneste, S.; Friml, J. Auxin: a trigger for change in plant development. Cell. 2009, 136, 1005–1016. [Google Scholar] [CrossRef] [PubMed]
  7. Wang, R.H.; Estelle, M. Diversity and specificity: auxin perception and signaling through the TIR1/AFB pathway. Curr. Opin. Plant Biol. 2014, 21, 51–58. [Google Scholar] [CrossRef] [Green Version]
  8. Nakazawa, M.; Yabe, N.; Ichikawa, T.; Yamamoto, Y.Y.; Yoshizumi, T.; Hasunuma, K.; Matsui, M. DFL1, an auxin-responsive GH3 gene homologue, negatively regulates shoot cell elongation and lateral root formation, and positively regulates the light response of hypocotyl length. Plant J. 2001, 25, 213–221. [Google Scholar] [CrossRef]
  9. Takase, T.; Nakazawa, M.; Ishikawa, A.; Kawashima, M.; Ichikawa, T.; Takahashi, N.; Shimada, H.; Manabe, K.; Matsui, M. ydk1-D, an auxin-responsive GH3 mutant that is involved in hypocotyl and root elongation. Plant J. 2004, 37, 471–483. [Google Scholar] [CrossRef]
  10. Pelletier, S.; Van Orden, J.; Wolf, S.; Vissenberg, K.; Delacourt, J.; Ndong, Y.A.; Pelloux, J.; Bischoff, V.; Urbain, A.; Mouille, G.; et al. A role for pectin de-methylesterification in a developmentally regulated growth acceleration in dark-grown Arabidopsis hypocotyls. New Phytol. 2010, 188, 726–739. [Google Scholar] [CrossRef]
  11. Perrot-Rechenmann, C. Cellular Responses to Auxin: Division versus Expansion. Cold Spring Harb. Perspect. Biol. 2010, 2, a001446. [Google Scholar] [CrossRef] [PubMed]
  12. Esmon, C.A.; Tinsley, A.G.; Ljung, K.; Sandberg, G.; Hearne, L.B.; Liscum, E. A gradient of auxin and auxin-dependent transcription precedes tropic growth responses. Proc. Natl. Acad. Sci. USA 2006, 103, 236–241. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Immanen, J.; Nieminen, K.; Smolander, O.P.; Kojima, M.; Alonso Serra, J.; Koskinen, P.; Zhang, J.; Elo, A.; Mahonen, A.P.; Street, N.; et al. Cytokinin and Auxin Display Distinct but Interconnected Distribution and Signaling Profiles to Stimulate Cambial Activity. Curr. Biol. 2016, 26, 1990–1997. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Kakimoto, T. Identification of plant cytokinin biosynthetic enzymes as dimethylallyl diphosphate: ATP/ADP isopentenyltransferases. Plant Cell Physiol. 2001, 42, 677–685. [Google Scholar] [CrossRef]
  15. Hwang, I.; Sheen, J.; Muller, B. Cytokinin Signaling Networks. Annu. Rev. Plant Biol. 2012, 63, 353–380. [Google Scholar] [CrossRef] [Green Version]
  16. Miyawaki, K.; Tarkowski, P.; Matsumoto-Kitano, M.; Kato, T.; Sato, S.; Tarkowska, D.; Tabata, S.; Sandberg, G.; Kakimoto, T. Roles of Arabidopsis ATP/ADP isopentenyltransferases and tRNA isopentenyltransferases in cytokinin biosynthesis. Proc. Natl. Acad. Sci. USA 2006, 103, 16598–16603. [Google Scholar] [CrossRef] [Green Version]
  17. Bartrina, I.; Otto, E.; Strnad, M.; Werner, T.; Schmulling, T. Cytokinin Regulates the Activity of Reproductive Meristems, Flower Organ Size, Ovule Formation, and Thus Seed Yield in Arabidopsis thaliana. Plant Cell. 2011, 23, 69–80. [Google Scholar] [CrossRef] [Green Version]
  18. D’agostino, I.B.; Deruere, J.; Kieber, J.J. Characterization of the response of the arabidopsis response regulator gene family to cytokinin. Plant Physiol. 2000, 124, 1706–1717. [Google Scholar] [CrossRef] [Green Version]
  19. Ren, B.; Liang, Y.; Deng, Y.; Chen, Q.G.; Zhang, J.; Yang, X.H.; Zuo, J.R. Genome-wide comparative analysis of type-A Arabidopsis response regulator genes by overexpression studies reveals their diverse roles and regulatory mechanisms in cytokinin signaling. Cell Res. 2009, 19, 1178–1190. [Google Scholar] [CrossRef] [Green Version]
  20. Roberts, A.V.; Blake, P.S.; Lewis, R.; Taylor, J.M.; Dunstan, D.I. The Effect of Gibberellins on Flowering in Roses. J. Plant Growth Regul. 1999, 18, 113–119. [Google Scholar] [CrossRef]
  21. Belay, T.A.; Volker, M.; Tatjana, P.; Čož-Rakovac, R.; Jocelyn, A.; OzgaDennis, M.R.; Lewis, N.M.; Yuji, K.; Shinjiro, Y.; Branka, S. Endogenous Gibberellin Profile During Christmas Rose (Helleborus niger L.) Flower and Fruit Development. J. Plant Growth Regul. 2010, 29, 194–209. [Google Scholar]
  22. Ganelevin, R.; Zieslin, N. Contribution of sepals and gibberellin treatments to growth and development of rose (Rosa hybrida) flowers. Plant Growth Regul. 2002, 37, 255–261. [Google Scholar] [CrossRef]
  23. Zieslin, N.; Starkman, F.; Zamski, E. Growth of rose flower peduncles and effects of applied plant growth regulators. Plant Growth Regul 1989, 8, 65–76. [Google Scholar]
  24. Ibanes, M.; Fàbregas, N.; Chory, J.; Caño-Delgado, A.I. Brassinosteroid signaling and auxin transport are required to establish the periodic pattern of Arabidopsis shoot vascular bundles. Proc. Natl. Acad. Sci. USA 2009, 106, 13630–13635. [Google Scholar] [CrossRef] [Green Version]
  25. Daviere, J.M.; De Lucas, M.; Prat, S. Transcriptional factor interaction: a central step in DELLA function. Curr. Opin. Genet. Dev. 2008, 18, 295–303. [Google Scholar] [CrossRef]
  26. Dayan, J.; Voronin, N.; Gong, F.; Sun, T.P.; Hedden, P.; Fromm, H.; Aloni, A. Leaf-Induced Gibberellin Signaling Is Essential for Internode Elongation, Cambial Activity, and Fiber Differentiation in Tobacco Stems. Plant Cell. 2012, 24, 66–79. [Google Scholar] [CrossRef] [Green Version]
  27. Sun, T.P.; Gubler, F. Molecular mechanism of gibberellin signaling in plants. Annu Rev Plant Biol. 2004, 55, 197–223. [Google Scholar] [CrossRef] [Green Version]
  28. Sachs, R.M.; Bretz, C.F.; Lang, A. Shoot Histogenesis - the Early Effects of Gibberellin Upon Stem Elongation in 2 Rosette Plants. Am. J. Bot. 1959, 46, 376–384. [Google Scholar] [CrossRef]
  29. Zhu, Y.Y.; Nomura, T.; Xu, Y.H.; Zhang, Y.Y.; Peng, Y.; Mao, B.Z.; Hanada, A.; Zhou, H.C.; Wang, R.X.; Li, P.J.; et al. ELONGATED UPPERMOST INTERNODE encodes a cytochrome P450 monooxygenase that epoxidizes gibberellins in a novel deactivation reaction in rice. Plant Cell. 2006, 18, 442–456. [Google Scholar] [CrossRef] [Green Version]
  30. An, F.; Zhang, X.; Zhu, Z.; Ji, Y.; He, W.; Jiang, Z.; Li, M.; Guo, H. Coordinated regulation of apical hook development by gibberellins and ethylene in etiolated Arabidopsis seedlings. Cell Res. 2012, 22, 915–927. [Google Scholar] [CrossRef] [Green Version]
  31. Kaneko, M.; Itoh, H.; Ueguchi-Tanaka, M.; Ashikari, M.; Matsuoka, M. The alpha-amylase induction in endosperm during rice seed germination is caused by gibberellin synthesized in epithelium. Plant Physiol. 2002, 128, 1264–1270. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  32. Sakai, M.; Sakamoto, T.; Saito, T.; Matsuoka, M.; Tanaka, H.; Kobayashi, M. Expression of novel rice gibberellin 2-oxidase gene is under homeostatic regulation by biologically active gibberellins. J Plant Res. 2003, 116, 161–164. [Google Scholar] [CrossRef] [PubMed]
  33. Zhao, K.; Zhang, F.; Yang, Y.; Ma, Y.; Liu, Y.X.; Li, H.; Dai, H.Y.; Zhang, Z.H. Modification of Plant Height via RNAi Suppression of MdGA20-ox Gene Expression in Apple. J. Am. Soc. Hortic. Sci. 2016, 141, 242–248. [Google Scholar] [CrossRef] [Green Version]
  34. Schrager-Lavelle, A.; Gath, N.N.; Devisetty, U.K.; Carrera, E.; Lopez-Diaz, I.; Blazquez, M.A.; Maloof, J.N. The role of a class III gibberellin 2-oxidase in tomato internode elongation. Plant J. 2019, 97, 603–615. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Kepinski, S.; Leyser, O. The Arabidopsis F-box protein TIR1 is an auxin receptor. Nat. 2005, 435, 446–451. [Google Scholar] [CrossRef]
  36. Cao, M.; Chen, R.; Li, P.; Yu, Y.; Zheng, R.; Ge, D.; Zheng, W.; Wang, X.; Gu, Y.; Gelova, Z.; et al. TMK1-mediated auxin signalling regulates differential growth of the apical hook. Nat. 2019, 568, 240–243. [Google Scholar] [CrossRef]
  37. Wu, L.; Ma, N.; Jia, Y.C.; Zhang, Y.; Feng, M.; Jiang, C.Z.; Ma, C.; Gao, J.P. An Ethylene-Induced Regulatory Module Delays Flower Senescence by Regulating Cytokinin Content. Plant Physiol. 2017, 173, 853–862. [Google Scholar] [CrossRef] [Green Version]
  38. Muday, G.K. Auxins and tropisms. J Plant Growth Regul. 2001, 20, 226–243. [Google Scholar] [CrossRef]
  39. Philosoph-Hadas, S.; Friedman, H.; Meir, S. Gravitropic bending and plant hormones. Plant Horm. 2005, 72, 31–78. [Google Scholar]
  40. Wisniewska, J.; Xu, J.; Seifertova, D.; Brewer, P.B.; Ruzicka, K.; Blilou, I.; Rouquie, D.; Benkova, E.; Scheres, B.; Friml, J. Polar PIN localization directs auxin flow in plants. Science 2006, 312, 883. [Google Scholar] [CrossRef] [Green Version]
  41. Werner, T.; Motyka, V.; Strnad, M.; Schmulling, T. Regulation of plant growth by cytokinin. Proc. Natl. Acad. Sci. USA 2001, 98, 10487–10492. [Google Scholar] [CrossRef] [Green Version]
  42. Mahonen, A.P.; Bishopp, A.; Higuchi, M.; Nieminen, K.M.; Kinoshita, K.; Tormakangas, K.; Ikeda, Y.; Oka, A.; Kakimoto, T.; Helariutta, Y. Cytokinin signaling and its inhibitor AHP6 regulate cell fate during vascular development. Science 2006, 311, 94–98. [Google Scholar] [CrossRef] [PubMed]
  43. Yamaguchi, S. Gibberellin metabolism and its regulation. Annu. Rev. Plant Biol. 2008, 59, 225–251. [Google Scholar] [CrossRef] [PubMed]
  44. Meyer, V.G. Flower Abnormalities. Bot. Rev. 1966, 32, 165–218. [Google Scholar] [CrossRef]
  45. Aloni, R.; Aloni, E.; Langhans, M.; Ullrich, C.I. Role of cytokinin and auxin in shaping root architecture: regulating vascular differentiation, lateral root initiation, root apical dominance and root gravitropism. Ann Bot. 2006, 97, 883–893. [Google Scholar] [CrossRef]
  46. Ma, C.; Wang, H.; Macnish, A.J.; Estrada-Melo, A.C.; Lin, J.; Chang, Y.H.; Reid, M.S.; Jiang, C.Z. Transcriptomic analysis reveals numerous diverse protein kinases and transcription factors involved in desiccation tolerance in the resurrection plant Myrothamnus flabellifolia. Hort. Res. 2015, 2, 47. [Google Scholar] [CrossRef] [Green Version]
  47. Meng, Y.L.; Li, N.; Tian, J.; Gao, J.P.; Zhang, C.Q. Identification and validation of reference genes for gene expression studies in postharvest rose flower (Rosa hybrida). Sci. Hortic. 2013, 158, 16–21. [Google Scholar] [CrossRef] [Green Version]
  48. Zhang, S.; Zhao, Q.C.; Zeng, D.X.; Xu, J.H.; Zhou, H.G.; Wang, F.L.; Ma, N.; Li, Y.H. RhMYB108, an R2R3-MYB transcription factor, is involved in ethylene- and JA-induced petal senescence in rose plants. Hortic. Res. 2019, 6, 131. [Google Scholar] [CrossRef] [Green Version]
Ijms 21 01360 g001 550
Figure 1. Characteristics of BPP. (A) Phenotypes of normal peduncle (NP) and bent peduncle (BP) at developmental stage 1. Scale bar = 10 mm. (B) Angles of NP and BP in the horizontal direction. (C) Statistics for the diameters of NP and BP. Error bars indicate standard deviation (SD). Ten biological replicates were performed for B and C (n = 10). Asterisks denote statistically significant difference determined by using Student’s t-test (*** p < 0.001). (D) Percentage of BPs per season of six rose cultivars. 1, ‘Peach Avalanche’; 2, ‘Awakening’; 3, ‘Jinhui’; 4, ‘Carola’; 5, ‘Chanel’; 6, ‘Ocean Song’.
Figure 1. Characteristics of BPP. (A) Phenotypes of normal peduncle (NP) and bent peduncle (BP) at developmental stage 1. Scale bar = 10 mm. (B) Angles of NP and BP in the horizontal direction. (C) Statistics for the diameters of NP and BP. Error bars indicate standard deviation (SD). Ten biological replicates were performed for B and C (n = 10). Asterisks denote statistically significant difference determined by using Student’s t-test (*** p < 0.001). (D) Percentage of BPs per season of six rose cultivars. 1, ‘Peach Avalanche’; 2, ‘Awakening’; 3, ‘Jinhui’; 4, ‘Carola’; 5, ‘Chanel’; 6, ‘Ocean Song’.
Ijms 21 01360 g001
Ijms 21 01360 g002 550
Figure 2. The cellular structure of BP. (A–C) Transverse sections of the two sides (A) and their respective cell size (B) and cell numbers (C) in NP and BP. (D–F) Longitudinal sections of the two sides (D) and their respective cell numbers (E) and cell lengths (F) in NP and BP. 1 and 1’ refer to parenchyma cells from the two sides, 2 and 2’ refer to primary phloem cells from the two sides, and 3 and 3’ refer to primary xylem cells from the two sides. Scale bars = 100 µm. Error bars represent SD. Three biological replicates were used. Asterisks denote statistically significant differences determined by using Student’s t-test (* p < 0.05, *** p < 0.001).
Figure 2. The cellular structure of BP. (A–C) Transverse sections of the two sides (A) and their respective cell size (B) and cell numbers (C) in NP and BP. (D–F) Longitudinal sections of the two sides (D) and their respective cell numbers (E) and cell lengths (F) in NP and BP. 1 and 1’ refer to parenchyma cells from the two sides, 2 and 2’ refer to primary phloem cells from the two sides, and 3 and 3’ refer to primary xylem cells from the two sides. Scale bars = 100 µm. Error bars represent SD. Three biological replicates were used. Asterisks denote statistically significant differences determined by using Student’s t-test (* p < 0.05, *** p < 0.001).
Ijms 21 01360 g002
Ijms 21 01360 g003 550
Figure 3. Validation of transcriptome data. (A) Pearson correlation between nine samples. (B) Relative expression of six selected genes (RchiOBHmChr3g0451081, auxin-response protein; RchiOBHmChr5g0069431, calcium/proton exchanger; RchiOBHmChr2g0170521, gibberellin-regulated protein; RchiOBHmChr7g0179851, ARR5-like; RchiOBHmChr5g0072761, expansion; RchiOBHmChr2g0168531, zinc finger) determined by qRT-PCR for validation of RNA-seq results. RhUbi2 was used as an internal control. Error bars represent SD. Three biological replicates were performed.
Figure 3. Validation of transcriptome data. (A) Pearson correlation between nine samples. (B) Relative expression of six selected genes (RchiOBHmChr3g0451081, auxin-response protein; RchiOBHmChr5g0069431, calcium/proton exchanger; RchiOBHmChr2g0170521, gibberellin-regulated protein; RchiOBHmChr7g0179851, ARR5-like; RchiOBHmChr5g0072761, expansion; RchiOBHmChr2g0168531, zinc finger) determined by qRT-PCR for validation of RNA-seq results. RhUbi2 was used as an internal control. Error bars represent SD. Three biological replicates were performed.
Ijms 21 01360 g003
Ijms 21 01360 g004 550
Figure 4. Numbers of DEGs between NP and BP and corresponding GO and KEGG enrichment data. (A) Numbers of up-regulated and down-regulated genes identified from comparison of B_upper and B_lower, B_upper and N, and B_lower and N. (B) Venn diagram of the data in A. (C) GO function enrichment analysis of DEGs. (D) KEGG pathway enrichment analysis of DEGs.
Figure 4. Numbers of DEGs between NP and BP and corresponding GO and KEGG enrichment data. (A) Numbers of up-regulated and down-regulated genes identified from comparison of B_upper and B_lower, B_upper and N, and B_lower and N. (B) Venn diagram of the data in A. (C) GO function enrichment analysis of DEGs. (D) KEGG pathway enrichment analysis of DEGs.
Ijms 21 01360 g004
Ijms 21 01360 g005 550
Figure 5. qRT-PCR of auxin-related genes in BP. Genes include those encoding auxin receptors (RhTIR1, RhTMK1), auxin-responsive factors (RhIAA4-like, RhIAA5, RhIAA6, RhIAA32), auxin transporters (RhPIN3, RhABCB1, RhABCB19, RhABP1) and auxin-regulated factors (RhARF2, RhARF7). Error bars represent SD. Three biological replicates were performed. Asterisks denote statistically significant differences determined by using Student’s t-test (* p < 0.05, ** p < 0.01).
Figure 5. qRT-PCR of auxin-related genes in BP. Genes include those encoding auxin receptors (RhTIR1, RhTMK1), auxin-responsive factors (RhIAA4-like, RhIAA5, RhIAA6, RhIAA32), auxin transporters (RhPIN3, RhABCB1, RhABCB19, RhABP1) and auxin-regulated factors (RhARF2, RhARF7). Error bars represent SD. Three biological replicates were performed. Asterisks denote statistically significant differences determined by using Student’s t-test (* p < 0.05, ** p < 0.01).
Ijms 21 01360 g005
Ijms 21 01360 g006 550
Figure 6. qRT-PCR of cytokinin- and gibberellin-related genes in BP. (A) Cytokinin-response genes RhARR3 and RhARR8. (B) Gibberellin-synthesis-related genes RhGA20-ox and RhGA2-ox. Error bars represent SD. Three biological replicates were used. Asterisks denote statistically significant differences determined by using Student’s t-test (* p < 0.05, *** p < 0.001).
Figure 6. qRT-PCR of cytokinin- and gibberellin-related genes in BP. (A) Cytokinin-response genes RhARR3 and RhARR8. (B) Gibberellin-synthesis-related genes RhGA20-ox and RhGA2-ox. Error bars represent SD. Three biological replicates were used. Asterisks denote statistically significant differences determined by using Student’s t-test (* p < 0.05, *** p < 0.001).
Ijms 21 01360 g006
Ijms 21 01360 g007 550
Figure 7. The expression of auxin-, cytokinin-, and gibberellin-related genes in deformed sepals determined by qRT-PCR. (A) Auxin-response genes RhTAR2 and RhGH3. (B) Cytokinin-response genes RhCKX1 and RhT5L1. (C) Gibberellin-related genes RhGA20-ox and RhGA14-like. (D) BP phenotype 3 days after removal of deformed sepals. Mock, plants with deformed sepals. Scale bars = 10 mm. (E) Statistics for the bending angle of peduncle 3 days after removal of deformed sepals. Error bars represent SD. Three biological replicates were performed for A, B, and C, and ten biological replicates for E. Asterisks denote statistically significant differences by using Student’s t-test (* p < 0.05, ** p < 0.01).
Figure 7. The expression of auxin-, cytokinin-, and gibberellin-related genes in deformed sepals determined by qRT-PCR. (A) Auxin-response genes RhTAR2 and RhGH3. (B) Cytokinin-response genes RhCKX1 and RhT5L1. (C) Gibberellin-related genes RhGA20-ox and RhGA14-like. (D) BP phenotype 3 days after removal of deformed sepals. Mock, plants with deformed sepals. Scale bars = 10 mm. (E) Statistics for the bending angle of peduncle 3 days after removal of deformed sepals. Error bars represent SD. Three biological replicates were performed for A, B, and C, and ten biological replicates for E. Asterisks denote statistically significant differences by using Student’s t-test (* p < 0.05, ** p < 0.01).
Ijms 21 01360 g007
Table
Table 1. Summary of rose peduncles parts transcriptome sequencing database.
Table 1. Summary of rose peduncles parts transcriptome sequencing database.
ItemsTotal
No. of reads398,886,448
No. of valid reads395,462,558
No. of mapped reads334,973,525
No. of assembled transcripts260,541
Average length of transcripts2021 bp
Total length of transcripts526,553,361 bp
Table
Table 2. DEGs involved in the auxin pathway.
Table 2. DEGs involved in the auxin pathway.
Gene IDFCLog2(FC)Up/Down RegulationAnnotation
Response to auxin
RchiOBHmChr1g03429313.941.98upCarotenoid cleavage dioxygenase 7
RchiOBHmChr3g04781514.252.09upUbiquitin-like protein Nedd8
RchiOBHmChr3g04781712.961.57upUbiquitin-like protein Nedd8
RchiOBHmChr4g03929812.031.02upTranscription factor MYB15
RchiOBHmChr4g04243312.231.16upTranscription factor MYB12
RchiOBHmChr5g00567513.131.65upAuxin-induced protein 15A-like
RchiOBHmChr6g026854126.954.75upAuxin-responsive protein SAUR50-like
RchiOBHmChr6g030547110.963.45upAuxin-responsive protein SAUR71-like
RchiOBHmChr7g02106412.201.14upAuxin-responsive protein SAUR14
RchiOBHmChr7g021071140.285.33upAuxin-responsive protein SAUR3
RchiOBHmChr7g021073140.285.33upAuxin-responsive protein SAUR20
RchiOBHmChr7g02108011.400.48upAuxin-responsive protein SAUR23
RchiOBHmChr1g03249210.21−2.25downAuxin-induced protein X15
RchiOBHmChr1g03629910.30−1.75downIndole-3-acetic acid-induced protein ARG7-like
RchiOBHmChr4g04220410.36−1.49downFlowering-promoting factor 1-like protein 3
RchiOBHmChr5g00488410.36−1.47downVacuolar-related NAC-domain 6
RchiOBHmChr7g02021610.40−1.32downAuxin-responsive protein SAUR36-like
RchiOBHmChr7g02096510.21−2.27downAuxin-responsive protein SAUR40
RchiOBHmChr7g01889110.60−0.75downAuxin-responsive factor 2 ARF2
RchiOBHmChr2g00955510.72−0.48downAuxin-responsive factor 7 ARF7
RchiOBHmChr6g02544010.67−0.58downAuxin-responsive GH3 family protein GH3
Auxin-activated signaling pathway
RchiOBHmChr4g04287912.351.23upAuxin-responsive protein 31 IAA31
RchiOBHmChr6g03115412.371.25upBIG GRAIN 1-like B
RchiOBHmChr7g02246912.241.16upArabidopsis SKP1 homologue 1 ASK1
RchiOBHmChr3g04510810.49−1.03downIndole-3-acetic acid inducible 4 like IAA4-like
RchiOBHmChr4g03896110.57−0.80downIndole-3-acetic acid inducible 5 IAA5
RchiOBHmChr2g01373110.52−0.94downIndole-3-acetic acid inducible 6 IAA6
RchiOBHmChr4g04343910.55−0.87downIndole-3-acetic acid inducible 32 IAA32
Auxin homeostasis
RchiOBHmChr2g01325712.921.55upShikimate O-hydroxycinnamoyl transferase-like
RchiOBHmChr2g01326513.351.74upShikimate O-hydroxycinnamoyl transferase-like
RchiOBHmChr5g00665410.35−1.52downShikimate O-hydroxycinnamoyltransferase-like
RchiOBHmChr6g03020410.20−2.30downTranscription factor SHI RELATED SEQUENCE 1-like
Auxin biosynthetic process
RchiOBHmChr6g02669010.45−1.16downTranscription factor SHI RELATED SEQUENCE 3-like
RchiOBHmChr7g01929410.25−2.01downTrytophan aminotransferase related 2 TAR2
RchiOBHmChr6g02926610.56−0.84downTransport inhibitor response 1 TIR1
RchiOBHmChr3g04924310.57−0.80downReceptor-like transmembrane kinase I TMK1
Cellular response to auxin stimulus
RchiOBHmChr1g03182810.32−1.62downTranscription factor agamous-like MADS-box AGL15
RchiOBHmChr4g03894110.01−7.00downEnhancer of mRNA-decapping 4-like
Auxin catabolic process
RchiOBHmChr2g009611110.103.34up2-Oxoglutarate-dependent dioxygenase DAOlike
Auxin metabolic process
RchiOBHmChr4g04447012.331.22upIAA-amino acid hydrolase ILR1-like 4
Auxin transport
RchiOBHmChr6g03051410.37−1.45downUDP-glucose 4,6-dehydratase
RchiOBHmChr4g04413110.63−0.67downPIN-FORMED 3 PIN3
RchiOBHmChr3g04703110.70−0.52downATP-binding cassette B1 ABCB1
RchiOBHmChr2g01687610.59−0.77downATP-binding cassette B19 ABCB19
RchiOBHmChr6g02919610.68−0.57downAuxin binding protein 1 ABP1
RchiOBHmChr2g01624012.261.17upSerine/threonine kinase
FC, fold change.
Table
Table 3. DEGs involved in the gibberellin signaling pathway.
Table 3. DEGs involved in the gibberellin signaling pathway.
Gene IDFCLog2(FC)Up/Down RegulationAnnotation
Gibberellic acid-mediated signaling pathway
RchiOBHmChr2g01591112.881.53upTranscription factor MYB101
RchiOBHmChr6g030912136.455.19upGibberellic acid stimulated Arabidopsis 10
RchiOBHmChr2g01564310.44−1.20downF-box protein SNE
RchiOBHmChr2g01705210.34−1.57downGibberellin-regulated 14-like GA14-like
Response to gibberellin
RchiOBHmChr1g03786212.271.18upTranscription factor WRKY 27
RchiOBHmChr4g04446815.422.44upGibberellin-regulated 3-like
RchiOBHmChr5g00628512.181.12upTranscription factor MYB48-like
Gibberellin biosynthetic process
RchiOBHmChr1g03537913.411.77upGibberellin 20 oxidase GA20-ox
RchiOBHmChr2g00897210.17–2.58downGibberellin 3-beta-dioxygenase 1-like
Gibberellin catabolic process
RchiOBHmChr3g04869712.301.20upGibberellin 2-beta-dioxygenase GA2-ox
RchiOBHmChr1g03182810.32–1.62downAgamous-like MADS-box AGL15
Cellular response to gibberellin stimulus
RchiOBHmChr7g02023212.071.05upAcid beta-fructofuranosidase 2, vacuolar
Regulation of gibberellic acid-mediated signaling pathway
RchiOBHmChr6g03020410.20–2.30downSHI RELATED SEQUENCE 1-like
Gibberellin metabolic process
RchiOBHmChr5g00039913.351.75upGibberellin 2-beta-dioxygenase 8 GA2-ox8
FC, fold change.
Table
Table 4. DEGs involved in the cytokinin signaling pathway.
Table 4. DEGs involved in the cytokinin signaling pathway.
Gene IDFCLog2(FC)Up/down regulationAnnotation
Response to cytokinin
RchiOBHmChr7g023879112.273.62upInosine-5 -monophosphate dehydrogenase 2-like
RchiOBHmChr4g04156010.16−2.63downBAHD acyltransferase At5g47980-like
RchiOBHmChr4g04156210.16−2.66downBAHD acyltransferase At5g47980-like
RchiOBHmChr4g04313110.24−2.08downDeacetylvindoline O-acetyltransferase
RchiOBHmChr5g00488410.36−1.47downNAC transcription factor 29-like
RchiOBHmChr6g02840710.41−1.27downWound-induced basic protein
RchiOBHmChr6g03042410.36−1.47downVinorine synthase-like
RchiOBHmChr4g04448311.790.84upA-type response regulator 3 ARR3
RchiOBHmChr2g01253511.560.64upA-type response regulator 8 ARR8
RchiOBHmChr1g03705611.670.74upTMO5-LIKE1 T5L1
Cytokinin-activated signaling pathway
RchiOBHmChr1g03586812.821.5upEthylene-responsive transcription factor CRF4-like
RchiOBHmChr5g00612010.19−2.40downHistidine-containing phosphotransfer 1-like
RchiOBHmChr6g02505910.37−1.42downHistidine kinase CKI1-like
RchiOBHmChr6g02506010.27−1.89downLYSM-containing receptor-like kinase 1
Positive regulation of cytokinesis
RchiOBHmChr4g04102312.261.17upNEDD1 protein
Cytokinin catabolic process
RchiOBHmChr1g03193310.61−0.72downCytokinin oxidase/dehydrogenase 1 CKX1
Cytokinesis by cell plate formation
RchiOBHmChr1g03419612.111.08upTubulin binding cofactor A
RchiOBHmChr1g03612513.101.63upHAUS augmin-like complex subunit 2
RchiOBHmChr3g04954012.021.02upCytoskeleton-associated protein 5
FC, fold change.

Share and Cite

MDPI and ACS Style

Jing, W.; Zhang, S.; Fan, Y.; Deng, Y.; Wang, C.; Lu, J.; Sun, X.; Ma, N.; Shahid, M.O.; Li, Y.; et al. Molecular Evidences for the Interactions of Auxin, Gibberellin, and Cytokinin in Bent Peduncle Phenomenon in Rose (Rosa sp.). Int. J. Mol. Sci. 2020, 21, 1360. https://doi.org/10.3390/ijms21041360

AMA Style

Jing W, Zhang S, Fan Y, Deng Y, Wang C, Lu J, Sun X, Ma N, Shahid MO, Li Y, et al. Molecular Evidences for the Interactions of Auxin, Gibberellin, and Cytokinin in Bent Peduncle Phenomenon in Rose (Rosa sp.). International Journal of Molecular Sciences. 2020; 21(4):1360. https://doi.org/10.3390/ijms21041360

Chicago/Turabian Style

Jing, Weikun, Shuai Zhang, Youwei Fan, Yinglong Deng, Chengpeng Wang, Jingyun Lu, Xiaoming Sun, Nan Ma, Muhammad Owais Shahid, Yonghong Li, and et al. 2020. "Molecular Evidences for the Interactions of Auxin, Gibberellin, and Cytokinin in Bent Peduncle Phenomenon in Rose (Rosa sp.)" International Journal of Molecular Sciences 21, no. 4: 1360. https://doi.org/10.3390/ijms21041360

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