Abstract
Commercial carnation (Dianthus caryophyllus) cultivars are vegetatively propagated from axillary stem cuttings through adventitious rooting; a process which is affected by complex interactions between nutrient and hormone levels and is strongly genotype-dependent. To deepen our understanding of the regulatory events controlling this process, we performed a comparative study of adventitious root (AR) formation in two carnation cultivars with contrasting rooting performance, “2101–02 MFR” and “2003 R 8”, as well as in the reference cultivar “Master”. We provided molecular evidence that localized auxin response in the stem cutting base was required for efficient adventitious rooting in this species, which was dynamically established by polar auxin transport from the leaves. In turn, the bad-rooting behavior of the “2003 R 8” cultivar was correlated with enhanced synthesis of indole-3-acetic acid conjugated to aspartic acid by GH3 proteins in the stem cutting base. Treatment of stem cuttings with a competitive inhibitor of GH3 enzyme activity significantly improved rooting of “2003 R 8”. Our results allowed us to propose a working model where endogenous auxin homeostasis regulated by GH3 proteins accounts for the cultivar dependency of AR formation in carnation stem cuttings.
Introduction
New carnation (Dianthus caryophyllus) cultivars are mainly bred for traits affecting flower morphology, such as flower size, petal shape, petal number, flower color, and flower vase-life among others, as well as for traits improving plant production and pathogen resistance (Sheela, 2008). However, less attention is usually paid to breed the hidden-part of the plant, its root system, which is very important to warrant water and mineral nutrient supply. Commercial carnation cultivars are vegetatively propagated from axillary stem cuttings that undergo controlled rooting and acclimation (, ), which are high energy-demanding processes that lead to severe losses in certain cultivars (; ). Effective rooting of stem cuttings in several species strongly depends on the production of a functional adventitious root (AR) system, which is in turn affected by complex interactions between nutrient and hormone levels (; ; ).
We previously performed a detailed analysis of the morphological and physiological changes occurring in the basal region of stem cuttings during rooting in a reference cultivar “Master”, and we reported how these were modified in response to exogenous auxin application (). We found significant crosstalk between auxin levels, stress hormone homeostasis, and sugar availability in the stem cutting base of “Master” during the initial steps of adventitious rooting (). To further characterize these interactions, we made use of a large collection of commercial carnation cultivars selecting two additional cultivars because of their contrasting rooting performance (). The “2101–02 MFR” cultivar showed higher number of roots and faster growth than other spray cultivars, while the “2003 R 8” standard cultivar displayed a smaller root system because of a delay in root emergence and further slow root growth (). We characterized gene expression and functional changes in the stem cutting base during the early stages of adventitious rooting in these two cultivars, which provided a number of molecular, histological, and physiological markers to initiate the genetic dissection of AR formation in this species (Villacorta-Martín et al., 2015).
In the current work, we performed a comparative study of AR formation in “2101–02 MFR”, “Master”, and “2003 R 8” grown in vitro and in soil plugs. We found that local auxin response in the stem cutting base was required for adventitious rooting, and that this local auxin maximum was dynamically established by active polar auxin transport (PAT) from the leaves. In turn, the bad-rooting behavior of the “2003 R 8” cultivar correlated with enhanced auxin inactivation in the root-formative region. Taking together, our results provide a detailed view of the major pathways triggering AR formation and how differential auxin homeostasis in the stem cutting base might account for cultivar-dependent adventitious rooting in carnation stem cuttings.
Materials and Methods
Plant Materials and Growth Conditions
Stem cuttings from the cultivars used in this work (“Master”, “2101–02 MFR”, and “2003 R 8”) are available upon request. All the mother plants had been grown in the same glasshouse under environmental conditions at 37°34’50′′ N, 1°46’35′′ W, and 395 m altitude within the rooting station of Barberet & Blanc, S.A. (Puerto Lumbreras, Murcia, Spain). Water, fertilizers, and adequate phytosanitary treatments were periodically applied, as described previously (; ).
Auxin Transport Inhibition
Terminal stem cuttings of about 10–15 cm with four to five pairs of leaves were manually harvested from several mother plants by skilled operators at the rooting station at noon on 26 April 2016, wrapped in plastic bags just after pinching and stored in a cold chamber at 5 ± 2°C for about 24 h, as described previously (; ). A ring of lanolin paste (Sigma–Aldrich, United States) was individually set at about 6–8 mm of the basal end of each stem cutting using a syringe. Previously, warm lanolin was thoroughly mixed with 1% (w/w) of 1-naphthoxyacetic acid (1-NOA; Sigma–Aldrich, United States), 1% (w/w) of 1-N-naphthylphthalamic acid (NPA; Sigma–Aldrich, United States), or an equimolar mixture (0.8% w/w) of α-naphthalene acetic acid (NAA; Duchefa, Netherlands) and indole-3-butyric acid (IBA; Duchefa, Netherlands) for the different treatments. Non-supplemented lanolin paste was used as a mock treatment. After the treatments, the cuttings were individually planted in 104-well trays containing moistened peat/perlite (90/10 v/v) plugs (3.5 cm diameter × 3.5 cm length; ∼26 cm3) in a Gothic Arch Greenhouse at 38°16’43′′ N, 0°41’15′′ W, and 96 m altitude (Elche, Spain). Stem cuttings were grown from 27 April to 2 June 2016 under the environmental conditions of the greenhouse, with periodic sprinkler irrigation (5 min every 4 h).
For scoring adventitious rooting, the soil plug was carefully removed by washing it with high pressure tap water and the entire root system was imaged using a Nikon D3200 camera with an AF-S DX NIKKOR 18–55 mm f/3.5-5.6G VR objective. We visually defined seven rooting stages representing the different AR phenotypes observed ().
Auxin Transport Analysis
Three-to-five stem cutting basal sections (50 mm) from each carnation cultivar were used to estimate the basipetal indole-3-acetic acid (IAA) transport, as previously described (; Nicolás et al., 2007). The isolated stem sections were placed on top of an agar block keeping their endogenous apical–basal orientation and a 5 μl drop of a 200 μM labeled IAA ([13C]6C4H9NO2) was added to the top of each stem section. Every 30 min, the agar block was replaced by a new agar block and the experiment was carried out for 240 min. The amount of labeled IAA present in the agar blocks was analyzed by U-HPLC–MS Orbitrap (ThermoFisher Scientific, United States) using negative electrospray mode (ESI). Detection was made using the m/z ratio for labeled IAA (m/z 180.0761) and retention time to unequivocally identify transported labeled IAA. The linear traces of the cumulative labeled IAA transported per time unit were used to estimate different transport parameters according to Van der Weij (1932).
Chemical Inhibition of Auxin Degradation
Terminal stem cuttings were collected from several mother plants at noon on 28 September 2017 and immediately placed on Erlenmeyer flasks filled with 50 mL of Murashige and Skoog salt media with Gamborg’s vitamins, pH 5.0 supplemented with 10 μM adenosine-5’-[2-(1H-indol-3-yl)ethyl]phosphate (AIEP) or with distilled water as a mock treatment. After 15 h in the dark, the cuttings were individually planted in 104-well trays and kept in a Gothic Arch Greenhouse as described above. Adventitious rooting stage and total root area were scored 29 days after planting as indicated elsewhere ().
Phytohormone Extraction and Analysis
Phytohormones were extracted and analyzed according to and Villacorta-Martín et al. (2015). Auxin homeostasis metabolites were identified according to molecular mass and retention time from Total Ion Chromatograms obtained in the phytohormone analysis.
RNA Isolation and First-Strand cDNA Synthesis
Sample collection and RNA extractions were performed as described elsewhere (Villacorta-Martín et al., 2015). Briefly, total RNA from ∼120 mg of powdered carnation stem tissue from 10 to 15 individuals was extracted in triplicate using Spectrum Plant Total RNA Kit (Sigma–Aldrich, United States) as previously described (Villacorta-Martín et al., 2015), and cDNA samples were synthesized from purified RNA using the iScript Reverse Transcription Supermix (Bio-Rad, United States). RNA extraction and cDNA synthesis were preformed according to the manufacturer’s instructions.
Gene Expression Analysis by Real-Time Quantitative PCR
Primers were designed to amplify 87–178 bp of the cDNA sequences (Supplementary Table S1). To avoid amplifying genomic DNA, forward and reverse primers were designed to bind different exons and to hybridize across consecutive exons.
For real-time quantitative PCR, 14 μl reactions were prepared with 7 μl of the SsoAdvanced Universal SYBR Green Supermix (Bio-Rad, United States), 4 μM of specific primer pairs, and 1 μl of cDNA- and DNase-free water (up to 14 μl of total volume reaction). PCR amplifications were carried out in 96-well optical reaction plates on a Step One Plus Real-Time PCR System (Applied Biosystems, United States). Three biological and two technical replicates were performed for each gene. The thermal cycling program started with a step of 10 s at 95°C, followed by 40 cycles (15 s at 95°C and 60 s at 60°C), and the melt curve (from 60 to 95°C, with increments of 0.3°C every 5 s). Dissociation kinetics of the amplified products confirmed their specificity.
Primer pair validation was performed by using the 2-ΔΔCT method (Livak and Schmittgen, 2001). Gene expression was measured by the absolute quantification method (Lu et al., 2012) by using a standard curve which comprised equal amounts from each cDNA sample. The Dca3524 gene (homolog of the Arabidopsis thaliana housekeeping gene EF1α; AT5G60390) was chosen for normalization of the assayed genes, when needed. In each gene, mean of fold-change values relative to the distal region of the leaf in the “Master” cultivar (for the leaf data) and to the -23 h dataset in “2101–02 MFR” (for stem cutting base data) was used for graphic representation. ΔCT values were analyzed using SPSS 21.0.0 (SPSS Inc., United States) by applying the Mann–Whitney U-test for statistical differences between cDNA samples (P-value ≤ 0.05).
In Silico Identification of Candidate Genes From RNA-Sequencing Data and Heat Map Drawing
Sixty-nine differentially expressed genes (DEGs) identified from previous RNA sequencing (RNA-seq) data using the Short Time-Series Expression Miner (STEM) program (Villacorta-Martín et al., 2015) and annotated as GO:0009734 “auxin-activated signaling pathway” were initially selected; this list was further completed by including 35 genes from CarnationDB (Yagi et al., 2014) using keyword search (Supplementary Table S2). Sixty-six of these carnation genes were confirmed as putative auxin-responsive genes based on their highest homology with the A. thaliana annotation (). Following a similar approach, 49 genes were selected as cytokinin (CK)-related genes (GO:0009736 and GO:0009690) (Supplementary Table S2). Gene expression data from previous experiments (Villacorta-Martín et al., 2015) were processed using the heatmap.plus package of R1. Neighbor-joining distance matrixes between genes (rows) and between samples (columns) were calculated to build the dendrograms.
Statistical Analyses
Statistical analyses were performed using the StatGraphics Centurion XV software (StatPoint Technologies, Inc., Warrenton, VA, United States). Data outliers were identified based on aberrant standard deviation values and excluded for posterior analyses. One-sample Kolmogorov–Smirnov tests were performed to analyze the goodness-of-fit between the distribution of the data and a given theoretical distribution as previously described (). Average ± standard deviation values were represented, except for those cases that did not exhibit a normal distribution and for which the median was used instead. The differences between the data groups were analyzed by t-test (P ≤ 0.05) when only two groups were compared. To compare the data for a given variable, we performed multiple testing analyses with a two-way ANOVA (cultivar × day after planting or cultivar × treatment) and the Tukey’s honestly significant difference (HSD) tests (P ≤ 0.05). Nonparametric tests were used when necessary.
Results
Adventitious Rooting in Carnation Stem Cuttings Is Genotype-Dependent
Using an environmentally controlled hydroponic system developed previously (), we characterized the root system architecture during rooting of stem cuttings of two standard cultivars, “Master” and “2003 R 8”, and one spray cultivar, “2101–02 MFR” (Figure 1). In the “2101–02 MFR” and the “Master” cultivars, ARs emerged between 13 and 15 days after planting while there was a significant delay in AR emergence in the “2003 R 8” cultivar (Figure 1A). Although the three cultivars showed a well-developed and functional root system at 29 days, the “2101–02 MFR” cultivar showed a larger root system than the other two (Figure 1A). Considering total root length as an indicator of rooting performance (), exponential root growth in “Master” initiated earlier (15 days) than in the two other cultivars: “2101–02 MFR” at 17 days and “2003 R 8” at 22 days (Figure 1B). The bad-rooting performance of “2003 R 8” was mostly caused by the severe growth delay of its root system compared to the other studied cultivars (Figure 1B). Conversely, the “2101–02 MFR” cultivar showed continuous root growth along the experiment with higher root growth rates (mm/day) than the two other cultivars (Figure 1B).
FIGURE 1
Periclinal cell divisions within the cambial ring were among the first morphological markers for the AR induction phase () observed in this species (). Discrete clusters of meristematic cells appeared along the cambial ring shortly afterward (), which correspond to AR initiation phase (). Consistently with early AR initiation in “Master” and “2101–02 MFR”, cell clusters were observed within the vascular cambium at 54 h after planting (Figure 1C), while only sporadic periclinal divisions at the cambial ring were observed in “2003 R 8” growing in the hydroponic system (Figure 1C).
Based on a previously defined qualitative scale for rooting performance (Figure 2A; ), we confirmed the AR phenotypes of these three cultivars grown in soil plugs at the rooting station of our commercial provider. At 20 days, most stem cuttings in “Master” and “2101–02 MFR” were on stages 3 and 4, while only 60% of them reached stage 2 in “2003 R 8” (Supplementary Figure S1A). One week later, “Master” and “2003 R 8” cuttings reached similar rooting performances (Supplementary Figure S1A), but the root density in “2101–02 MFR” cuttings increased significantly (Supplementary Figures S1A,B). These results confirmed that the rooting behavior of “2003 R 8” (bad-rooting), “Master” (intermediate-rooting), and “2101–02 MFR” (good-rooting), despite it might be influenced by the environment and by the physiological status of the mother plants (Villanova et al., 2017), was under strict genetic control.
FIGURE 2
Auxin Is Required for AR Initiation and AR Growth in Stem Cuttings
After stem cutting harvest, basipetal transport of auxin from mature leaves contributes to auxin accumulation in the stem cutting base and hence to AR formation (
To confirm the relevance of a functional auxin transport through the stem for rooting, we chemically inhibited PAT either by NPA (
We next measured endogenous IAA transport through the stem using labeled IAA. The IAA transport rate was higher in “2003 R 8” than in the two other cultivars, while “Master” showed the highest IAA transport intensity (i.e., IAA mobilization) of the three (Figure 2D). In addition, we gathered the expression data of several genes putatively encoding auxin influx (AUX/LAX) and auxin efflux (PIN and ABCB) transporters (Oliveros-Valenzuela et al., 2008; Villacorta-Martín et al., 2015; Sánchez-García et al., 2018).
We validated these results by quantitative reverse transcription PCR (RT-qPCR) and extended them to additional time-points at -23 and -15 h. On the one hand, the expression of DcAUX1 (Dca32369) and DcLAX3 (Dca6786) auxin influx genes was not considerably changed over the rooting experiment in these two contrasting cultivars, although it was slightly higher in “2003 R 8” (Supplementary Figures S2A,B). On the other hand, the expression of auxin efflux genes, DcABCB1 (Dca43405), DcABCB19 (Dca25164), and DcPIN1 (Dca20927), was higher in the stem cutting base at harvest time (-23 h) and diminished after planting in “2101–02 MFR” and specially in “2003 R 8” (Supplementary Figures S2C–E). In addition, the expression levels of DcABCB1, DcABCB19, and DcPIN1, were significantly higher in “2003 R 8” than in “2101–02 MFR” (Supplementary Figures S2C–E). These results indicated that the differences in PAT through the stem between “2101–02 MFR” and “2003 R 8” are likely caused by differential expression of auxin transporters, although these differences did not explain the contrasting rooting performance between “2003 R 8” and “2101–02 MFR”.
Auxin Is Produced in Mature Leaves and Is Actively Transported to the Stem
The differences in AR formation between cultivars might arise by differential auxin production from mature leaves, as these are the main source of endogenous auxin required for rooting stem cuttings (
FIGURE 3

Differential auxin biosynthesis and auxin signaling in mature leaves at harvest. (A) Scheme of a carnation stem cutting leaf with indication of the two regions studied. (B) Indole-3-pyruvic acid (IPyA) and (C) indole-3-acetic acid (IAA) were measured in mature leaves of carnation stem cuttings at severance time. Average ± standard deviation values are shown. (D,F) RT-qPCR of the expression of selected transcripts related to (D,E) auxin biosynthesis or (F) auxin signaling in mature leaves of carnation stem cuttings at harvesting time. Bars indicate normalized expression levels ± standard deviation relative to the distal region of the leaf in the “Master” cultivar. Letters indicate significant differences between samples (P < 0.05).
Differential Accumulation of Active IAA in the Stem Cutting Base Between Cultivars Affects Rooting
Auxin flooding in the vascular region above the wounding has been proposed to trigger de-differentiation and cell cycle reactivation of cambial cells in this region (
FIGURE 4

Endogenous levels of several auxin derivatives in the stem cutting base during adventitious rooting and expression of selected genes. (A) IAA, (B) indole-3-acetyl-L-aspartic acid (IAA-Asp), and (C) 2-oxo-indole-3-acetic acid (oxIAA). Average ± standard deviation values are shown at selected time-points: at harvesting time (H; –23 h), during storage at low temperature (–15 h), at planting time (P; 0 h), and during rooting (6, 24, and 54 h). Asterisks indicate significant differences between samples (P < 0.05). (D–F) Real-time PCR quantification of the expression of (D)DcIAA19, (E)DcGH3.1, and (F)DcDAO1 relative to the –23 h dataset in the “2101–02 MFR” cultivar (not shown in the graph). Bars indicate normalized expression levels ± standard deviation. Letters indicate significant differences between samples (P < 0.05).
Despite the highest PAT rate in the stem cutting base of “2003 R 8” (Figure 2D), its endogenous IAA level did not significantly increase after harvesting and during rooting (Figure 4A). These results suggested that the auxin maximum in the stem cutting base of “2003 R 8” was not properly formed. In A. thaliana, the main IAA degradation pathways (Ludwig-Müller, 2011) include oxidation by DIOXYGENASE FOR AUXIN OXIDATION 1 (DAO1) (Porco et al., 2016) and conjugation by GRETCHEN HAGEN 3 (GH3) amide synthetases (Staswick et al., 2005), which played highly redundant roles to regulate endogenous auxin levels (Mellor et al., 2016). To account for IAA degradation in the stem cutting base of the studied cultivars, we measured IAA conjugated to aspartic acid (IAA-Asp) and 2-oxoindole-3-acetic acid (oxIAA), which are metabolically inactive forms unable to be transported through the PAT system (Pencík et al., 2013). At harvest time (-23 h) and before rooting (-15 h), the levels of IAA-Asp in the stem cutting base of the three cultivars were low, but significantly increased at planting time and during rooting in “2003 R 8” (Figure 4B). On the other hand, oxIAA levels were low in the stem cutting base of these cultivars up to 54 h (Figure 4C). Remarkably, IAA-Asp levels in the stem cutting base of the bad-rooting cultivar, “2003 R 8”, increased threefold between planting time and 24 h (161.4 ± 14.1 ng g-1 FW) and returned to initial levels at 54 h (Figure 4B), which suggest further modification of the IAA-Asp pool by additional conjugations or oxidative reactions. OxIAA levels were not significantly different in the stem cutting base of “2003 R 8” during rooting, although some variation was found in oxIAA levels in “2101–02 MFR” during early rooting (Figure 4C).
We wondered whether the differences in endogenous IAA levels in the stem cutting base shortly after harvesting and before rooting might have a functional relevance for the rooting differences observed between cultivars. As described above, we used DcIAA19 expression as a read-out for endogenous IAA levels. Interestingly, DcIAA19 expression in the stem cutting base of the good-rooting cultivar (“2101–02 MFR”) matched its endogenous IAA levels (Figure 4D), while in the bad-rooting cultivar (“2003 R 8”), DcIAA19 expression significantly decreased after planting (Figure 4D).
We previously identified five carnation genes encoding GH3-like proteins whose orthologs synthesize IAA–amino acid conjugates, such as IAA-Asp (Staswick et al., 2005), two of which are known to be differentially expressed during rooting (Sánchez-García et al., 2018). The expression of DcGH3.1 (Dca37575) was significantly higher in “2003 R 8” than in “2101–02 MFR”, with the strongest differences in expression after severance and before rooting (Figure 4E). In line with the endogenous oxIAA levels found in “2101–02 MFR” and “2003 R 8”, differences in gene expression levels were observed for the DAO1 ortholog, DcDAO1 (Dca2789) (Figure 4F). To confirm whether the differential accumulation of IAA-Asp in the studied cultivars contributed to rooting performance, we incubated freshly harvested stem cuttings of “2101–02 MFR”, “Master”, and “2003 R 8” with AIEP, a known chemical inhibitor of GH3 activities (
FIGURE 5

Auxin homeostasis at the stem cutting base is required for AR formation. (A) Graphic representations of rooting stage values in different carnation cultivars and treatments (n = 50). (B) Representative images of adventitious rooting in the studied carnation cultivars at 29 days treated with GH3 inhibitor (10 μM AIEP) or with mock. (C,D) The percentage of cuttings with roots (C) and the area of the scanned root system (D) at 29 days in rooted stem cuttings (n = 50). Dark- and light-colored bars represent data from mock- or AIEP-treated samples, respectively. Different letters indicate significant differences (P < 0.05) over sample means (cultivar × treatment).
Cytokinins and Stress-Related Hormone Levels in Cultivars With Contrasting Rooting Performance
Cytokinins are negative regulators of AR formation (
Stem cutting excision from the mother plant alters the endogenous levels of the hormones regulating stress responses, particularly jasmonate (JA), abscisic acid (ABA), and ethylene (
Auxin- and Cytokinin-Responsive Gene Expression Are Correlated With Rooting Performance
Auxin signaling is mediated through the interaction of active auxin (e.g., IAA) with the TRANSPORT INHIBITOR RESPONSE 1/AUXIN SIGNALING F-BOX PROTEIN (TIR1/AFB) co-receptor and the Auxin/INDOLE-3-ACETIC ACID (Aux/IAA) transcriptional repressors, resulting in degradation of the Aux/IAAs and the release of AUXIN RESPONSE FACTOR (ARF) transcriptional partners (Lavy and Estelle, 2016). Some genes putatively encoding Aux/IAA repressors of auxin signaling, such as SUPPRESSOR OF HY2 MUTATION (SHY2), also named IAA3 (Tian et al., 2002) (Dca3109), IAA4 (Dca29160), or MASSUGU 2 (MSG2, also named IAA19; Tatematsu et al., 2004) (Dca30890), were expressed at higher levels in “2101–02 MFR” than in “2003 R 8” at 6 h (Figure 6A). In addition, other early auxin-responsive genes, such as DcIAA13 (Weijers et al., 2005) (Dca43286), and DcSAUR66 (Dca30062), were expressed at higher levels in “2101–02 MFR” across the experiment (Supplementary Table S2). Conversely, carnation genes putatively encoding DcAFB5 (Dca28499), DcARF4 (Dca49318), and DcARF16 (Dca57896) were also expressed at higher levels in the stem cutting base of “2003 R 8” than in “2101–02 MFR” (Supplementary Table S2). Interestingly, the putative ortholog of the root-specific gene LATERAL ROOT PRIMORDIUM 1 (LRP1; Smith and Fedoroff, 1995) (Dca58211) was expressed at higher levels in the stem cutting base of “2101–02 MFR” at 54 h, coinciding with cell cluster formation in this region (Villacorta-Martín et al., 2015). These results were consistent with the high amount of active IAA in the stem cutting base of “2101–02 MFR” at earlier time points during rooting (Figure 4A) that triggered AR formation.
FIGURE 6

Analysis of expression of transcripts related to auxin (A) and cytokinin (CK) (B) homeostasis during AR formation. Heat map drawing and clustering was done as described in the section “Materials and Methods”. Arrowheads indicate those genes mentioned in the text with differential expression at defined time-points in 2101–02 MFR (gray arrowheads) or “2003 R 8” (black arrowheads). Putative positive regulators are indicated in green, while negative regulators are shown in red.
Consistently with the high amount of tZ found in the stem cutting base of “2003 R 8” (Supplementary Figure S4A), the expression levels of Dca19350, the putative ortholog encoding CYP735A1 that catalyzes an early step of tZ biosynthesis in Arabidopsis (Takei et al., 2004), were increased in “2003 R 8” compared with those in “2101–02 MFR”, particularly during the first hours after planting (Figure 6B, and Supplementary Figure S5A and Supplementary Table S2). In addition, the expression of Dca3875, the closest carnation homolog to LONELY GUY 8 (LOG8), which is also required for tZ biosynthesis (
Discussion
We characterized the root system architecture of stem cuttings in two standard (“Master” and “2003 R 8”) and one spray (“2101–02 MFR”) carnation (D. caryophyllus) cultivars selected because of their contrasting rooting performance (
Auxin is mainly produced at the tip of the leaf through the IPyA pathway in most species (
FIGURE 7

An integrated model of AR formation in carnation stem cuttings. (A) Regulation of auxin homeostasis in stem cutting leaves. Auxin influx proteins (AUX1/LAXs) are depicted in pink; auxin efflux proteins (PIN1 and ABCB19) are shown in purple. Size and ploidy level of mesophyll cells varied between distal (small size and 2C–4C ploidy level) and proximal (large size and 4C–8C ploidy level) leaf regions. The site of auxin synthesis is depicted in light blue. (B) Differences in auxin homeostasis in selected carnation genotypes during rooting of stem cuttings. In the leaf diagrams, the size of the purple arrow indicates the magnitude of the PAT from the leaves and the blue intensity indicates the level of auxin synthesis. In the stem cutting base diagrams, the height of the colored cylinders (red, blue, yellow) indicates the amount of hormone. IAA levels were highest during storage and were quickly downregulated after planting and during rooting. Treatment with AIEP (a well-known inhibitor of GH3 enzymes) results in a higher auxin-to-CK ratio at planting time that enhanced rooting in “2003 R 8” cultivar. Exogenous IAA treatment also enhanced rooting in the “2003 R 8” cultivar.
We found that IAA transport through the stem was higher in “Master” and “2003 R 8” than in “2101–02 MFR”, which mirrored the expression of their auxin transport genes in this tissue. Auxin transport inhibitors block PIN cycling between the plasma membrane and endosomal compartments (
Interestingly, despite the high auxin biosynthesis and transport rate in “2003 R 8”, the localized auxin accumulation in the stem cutting base required for rooting was not observed, suggesting altered auxin homeostasis (i.e., auxin degradation) in the stem cutting base of “2003 R 8”. The dynamic regulation of IAA oxidation by the DAO1 family of dioxygenases and of amino acid IAA conjugation by GH3 represents the major contribution to auxin homeostasis in Arabidopsis (Mellor et al., 2016; Porco et al., 2016). We found very low oxIAA levels in the stem cutting base of the studied cultivars which otherwise was not detected in leaves (Sánchez-García et al., 2018), indicating that IAA oxidation is not involved in the main regulatory pathway of IAA homeostasis in carnation. The expression of DcDAO1 genes was constitutively low and remained unchanged during rooting. As oxIAA can be further metabolized by conjugation to glucose, one possibility is that glucosylation of oxIAA to 2-oxoindole-3-acetic acid glucose (oxIAA-Glc) by the UDP glucosyltransferase UGT74D1 (Tanaka et al., 2014) reduced endogenous oxIAA levels. However, we could not detect oxIAA-Glc in the stem cutting base of these cultivars, despite of the high expression of DcUGT74D1 in this tissue (Sánchez-García et al., 2018), which confirmed the low relevance of the oxIAA pathway to explain varietal differences during rooting of carnation stem cuttings.
Several forms of auxin conjugates have been identified in plants, including IAA-sugar (i.e., IAA-Glucose and IAA-Glc) and IAA–amino acid conjugates (Ludwig-Müller, 2011). The conversion of IAA to IAA-Glc is catalyzed by the UDP glucosyltransferase UGT84B1, and its overexpression in Arabidopsis caused phenotypes compatible with auxin depletion, suggesting that IAA-Glc is an irreversible IAA catabolite rather than as an intermediate in the synthesis of other conjugates (
Indole-3-acetic acid conjugated to aspartic acid is believed to be inactive (Ludwig-Müller, 2011); hence, high IAA-Asp might interfere with the build-up of the localized auxin response required for AR formation in the stem cutting base of “2003 R 8”. Previous results in pea suggested that there are high levels of IAA inactivation in the base of mature cuttings compared with the juvenile ones, which might directly contribute for the observed decline in AR formation with age in this species (Rasmussen et al., 2015). To confirm our hypothesis that enhanced IAA-Asp conjugation in the stem cutting base reduced rooting of “2003 R 8”, we applied AIEP, a known inhibitor of the GH3 family of enzymes that it has been shown to be effective in vivo (
Several Aux/IAA genes were expressed at high levels in the stem cutting base of “2101–02 MFR” during early rooting. Due to most Aux/IAA genes are auxin-inducible (Overvoorde et al., 2005; Paponov et al., 2008), the Aux/IAA function is regulated by endogenous auxin at both protein stability and gene expression level (Pierre-Jerome et al., 2013). In Arabidopsis, several Aux/IAA gain-of-function mutants, such as msg2/iaa19 (Tatematsu et al., 2004), shy2/iaa3 (Tian et al., 2002), bodenlos/iaa12 (
We found that CK levels (tZ) in the stem cutting base of the bad-rooting cultivar (“2003 R 8”) increased during rooting at higher levels than in the other studied cultivars, which was correlated with the higher expression of two tZ biosynthesis genes (
Our deep understanding of the physiological and molecular events leading to the specific developmental responses of AR formation in “2101–02 MFR” and “2003 R 8” cultivars will allow establishing a marker-assisted selection approach of DEGs to select for enhanced adventitious rooting traits during breeding and to limit production losses during vegetative propagation of elite lines.
Statements
Author contributions
MA and JMP-P were involved in the conceptualization and supervision. AC, AA, MA, and JMP-P performed the methodology. AC, ABS-G, AA, RG-B, MSJ, and SI were involved in the investigation. AC, MA, and JMP-P performed the formal analysis. JMP-P was involved in the writing of the original draft. AC, MA, and JMP-P were involved in the writing and review and editing of the manuscript. JMP-P provided the funding acquisition. AA, MA, and JMP-P collected resources for the study.
Funding
This work was supported by the Ministerio de Economía, Industria y Competitividad (MINECO) of Spain (Grant Nos. AGL2012-33610 and BIO2015-64255-R), and by Fonds Européen de Développement Régional (FEDER) Funds of the European Commission.
Acknowledgments
We thank Emilio Á. Cano (Barberet & Blanc S.A., Puerto Lumbreras, Murcia, Spain) for plant material, Christine Böttcher (CSIRO Plant Industry, Glen Osmond, Australia) for providing the IAA–amido synthetase inhibitor, and Francisco Pérez-Alfocea (CEBAS-CSIC) for the use of the U-HPLC–MS Orbitrap equipment.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpls.2018.00566/full#supplementary-material
FIGURE S1Rooting stages in carnation stem cuttings grown in soil plugs. (A) Stacked histograms of rooting stages in a representative sample (n = 50) of stem cuttings growing in soil plugs for 20 or 27 days after planting. Letters indicate significant differences (P < 0.05) over samples (cultivar × time). (B) Representative soil plug images of stem cuttings rooting for 20 or 27 days.
FIGURE S2Real-time PCR quantification of the expression of selected transcripts related to auxin transport (auxin influx, A,B; auxin efflux, C,E) or auxin biosynthesis (F) in the stem cutting base during adventitious rooting. Bars indicate normalized expression levels ± standard deviation relative to the -23 h dataset in the “2101–02 MFR” cultivar. Letters indicate significant differences between samples (P < 0.05).
FIGURE S3Real-time PCR quantification of the expression of selected transcripts related to auxin transport (auxin influx, A–B; auxin efflux, C–F) in mature leaves of carnation stem cuttings at harvesting time. Bars indicate normalized expression levels ± standard deviation relative to the distal region of the leaf in the ‘Master’ cultivar. Letters indicate significant differences between samples (P < 0.05).
FIGURE S4Endogenous levels of other key hormones in the stem cutting base during adventitious rooting. (A)trans-zeatin (tZ), (B) the ethylene precursor 1-aminocyclopropane-1-carboxylic acid (ACC), and (C) abscisic acid (ABA). Average ± standard deviation values are shown. Asterisks indicate significant differences (P < 0.05) over time for a given treatment. H, harvesting; P, planting.
FIGURE S5Real-time PCR quantification of the expression of selected transcripts related to CK biosynthesis (A) or signaling (B,C) in the stem cutting base during adventitious rooting. Bars indicate normalized expression levels ± standard deviation relative to the -23 h dataset in the “2101–02 MFR” cultivar. Letters indicate significant differences between samples (P < 0.05).
TABLE S6Oligonucleotides used in this study.
TABLE S7RNA-seq data from carnation genes selected as putative auxin-responsive and CK-related genes.
Footnotes
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Summary
Keywords
adventitious rooting, auxin homeostasis, auxin-conjugating enzymes, Dianthus caryophyllus, IAA degradation, polar auxin transport, stem cuttings
Citation
Cano A, Sánchez-García AB, Albacete A, González-Bayón R, Justamante MS, Ibáñez S, Acosta M and Pérez-Pérez JM (2018) Enhanced Conjugation of Auxin by GH3 Enzymes Leads to Poor Adventitious Rooting in Carnation Stem Cuttings. Front. Plant Sci. 9:566. doi: 10.3389/fpls.2018.00566
Received
24 January 2018
Accepted
10 April 2018
Published
26 April 2018
Volume
9 - 2018
Edited by
Michael James Considine, The University of Western Australia, Australia
Reviewed by
Elison B. Blancaflor, Noble Research Institute, United States; Amanda Rasmussen, University of Nottingham, United Kingdom
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© 2018 Cano, Sánchez-García, Albacete, González-Bayón, Justamante, Ibáñez, Acosta and Pérez-Pérez.
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*Correspondence: José Manuel Pérez-Pérez, arolab.edu.umh.es; jmperez@umh.es
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