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ORIGINAL RESEARCH article

Front. Plant Sci., 28 January 2020
Sec. Plant Development and EvoDevo

Transcriptome Profiling of the Elongating Internode of Cotton (Gossypium hirsutum L.) Seedlings in Response to Mepiquat Chloride

  • College of Life Sciences, Henan Normal University, Xinxiang, China

The plant growth retardant mepiquat chloride (MC) has been extensively used to produce compact plant canopies and increase yield in cotton (Gossypium hirsutum L.). Previous studies showed that MC reduced plant height and internode length by inhibiting GA biosynthesis and cell elongation. However, whether there are other molecular mechanisms underlying MC-induced growth retardation has remained largely unknown. In the present study, we conducted histological, transcriptomic, and phytohormone analyses of the second elongating internodes of cotton seedlings treated with MC. Histological analysis revealed that the MC shortened the internodes through suppressing both cell division and cell elongation. Consistent with the observed phenotype, many genes related to cell growth were significantly downregulated by MC. Transcriptome profiling showed that the expression of genes related not only to GA, but also to auxin, brassinosteroid (BR), and ethylene metabolism and signaling was remarkably suppressed, whereas that of genes related to cytokinin (CK) and abscisic acid (ABA) metabolism was induced by MC. Consistent with the expression pattern, significant decrease of endogenous GA, auxin, and BR content, but an increase in CK content was observed after MC treatment. Most of these hormone related genes displayed opposite regulation pattern by exogenous GA3 treatment compared to MC; simultaneous application of MC and GA3 could alleviate the genes expression changes induced by MC treatment, indicating MC does not directly affect other plant hormones, but through the inhibition of the GA biosynthesis. In addition, the expression of genes related to secondary metabolism and many transcription factors (TFs) were differentially regulated by MC. In summary, we confirmed the important role of GA in MC-induced growth inhibition of cotton, and further found that other hormones were also involved in this process in a GA-dependent manner. This study provides novel insights into the molecular mechanism underlying the MC-mediated inhibition of internode elongation in cotton seedlings.

Introduction

Cotton (Gossypium hirsutum L.) is an important economic crop; it is widely cultivated worldwide for its natural fiber and oilseed. As a perennial shrub, cotton plants exhibit indeterminate growth. Under favorable growing conditions, excessive vegetative growth often occurs, leading to serious production problems such as auto-shading, fruit abortion, delayed maturity, and yield reduction (Zhao and Oosterhuis, 2000). Plant growth retardants are commonly used to inhibit excessive vegetative growth and control plant shape.

Gibberellin (GA) is a key kind of hormones that regulate stem and internodal elongation by affecting cell division and expansion (Wang et al., 2018). GAs promote plant growth by stimulating the degradation of DELLA proteins—the major repressors of GA signaling—by binding to the receptor—GIBBERELLIN INSENSITIVE DWARF1 (GID1)—through the ubiquitin–proteasome pathway (Velde et al., 2017). When the content of active GAs decreases, DELLA proteins accumulate and interact with transcription factors (TFs) to suppress the expression of their target genes and further suppress cell division or cell elongation (Fukazawa et al., 2017; Velde et al., 2017).

Plant growth retardants can interfere with the endogenous content of not only GAs but also other plant hormones (Rademacher, 2000). Paclobutrazol (PAC), uniconazole, and prohexadione-Ca (Pro-Ca) are well-known anti-GA plant growth retardants that are widely applied in various plants. PAC could reduce GA content, but increased cytokinin (CK) and abscisic acid (ABA) content in the buds and leaves of mango (Upreti et al., 2013). Uniconazole and Pro-Ca application yielded similar results in duckweed (Landoltia punctata) (Liu et al., 2015) and in the shoots of wheat and oilseed rape, respectively (Grossmann et al., 1994). Uniconazole has been reported to inhibit brassinosteroid (BR) biosynthesis in Pisum sativum (Yokota et al., 1991). PAC and uniconazole could reduce ethylene levels in soybean and wheat seedlings (Kraus et al., 1992) and in pineapple (Min and Bartholomew, 1996), respectively. Recent studies have shown that plant growth retardants could affect the expression of hormone-related genes. PAC affected the expression of many hormone-related genes in Jatropha (Seesangboon et al., 2018) and Agapanthus praecox (Zhang et al., 2015). The expression of genes related to GA, CK, and ABA was altered by uniconazole in duckweed (Liu et al., 2015). However, whether the biosynthesis and signaling of these hormones are directly affected by plant growth retardants or not is unknown. Apart from plant hormones, many other factors can also affect plant architecture, such as cell wall-related genes (Marowa et al., 2016; Minami et al., 2018), genes involved in secondary metabolism (Dare et al., 2013; Muro-Villanueva et al., 2019), and TFs (Davière et al., 2014; Kuijt et al., 2014). In plants, cell expansion is mainly mediated by the selective loosening of cell walls (Wolf, 2017). Many cell wall-related plant mutants show abnormal growth and morphogenesis (Pien et al., 2001). Flavonoids and lignin are important secondary metabolites during plant growth and development. Flavonoids are required for internode elongation and leaf expansion in apple (Dare et al., 2013), fiber elongation in cotton (Tan et al., 2013), and pollen tube growth and development in maize and tomato (Pollak et al., 1995; Schijlen et al., 2007). Lignin is a major structural component of the secondary cell wall, providing mechanical strength and hydrophobicity to the vascular system, especially in the stem (Muro-Villanueva et al., 2019). Modification of its metabolism can directly affect plant growth. Lignin modification-induced dwarfism has been reported in Arabidopsis, poplar, tobacco, and alfalfa (Pinçon et al., 2001; Leplé et al., 2007; Shadle et al., 2007). TFs are important regulators of plant growth and development; they activate or inhibit the transcription of downstream genes in response to environmental stimuli. Multiple TFs have been reported to alter plant architecture by regulating cell proliferation and/or expansion. For example, the members of the TCP family are typically associated with cell proliferation and expansion (Martín-Trillo and Cubas, 2010). Growth-regulating factors (GRFs) positively regulate leaf size and stem elongation by promoting cell proliferation or expansion (Kuijt et al., 2014; Jiang et al., 2018). In addition, TFs play key roles in integrating signal transduction of different phytohormones (Zhiponova et al., 2014; Davière and Achard, 2016).

GA biosynthesis inhibitors include onium compounds, nitrogen-containing heterocyclic compounds, structural mimics of 2-oxoglutaric acid, and acylcyclohex-anediones (Rademacher, 2000). Mepiquat chloride (MC) belongs to onium compounds (Rademacher, 2000). Cotton is more sensitive to MC compared with other plant species such as wheat, maize, and soybean for unknown reason (Rademacher, 2000); therefore, MC is commonly used in cotton to control growth, maximize yield, and improve fiber quality by reducing leaf area and shortening internodes (Reddy et al., 1990; Rademacher, 2000; Siebert and Stewart, 2006; Ren et al., 2013). Because of its chemical structure similarity to chlorocholine chloride (CCC), the regulatory mechanism of which has been relatively well studied in plants, MC is hypothesized to function by specifically inhibiting the activity of copalyl diphosphate synthase (CPS) in the early steps of GA biosynthesis (Shechter and West, 1969; Rademacher, 2000). Previously, we showed that MC decreased the expression of genes related to GA metabolism and signaling pathway, reduced GA contents, and inhibited cell elongation in the internodes of cotton seedlings grown in soil (Wang et al., 2014), however, the whole transcriptional regulatory network underlying MC-mediated growth inhibition remains largely unknown. Whether other hormones are affected by MC is unknown in cotton. To better disclose the signal pathways and genes associated with the growth inhibition of MC, global transcriptome profiling of the elongating internodes of cotton seedlings in response to MC was conducted using hydroponically grown cotton seedlings, together with phenotype, cell morphology, and phytohormone analyses. This study is useful for deep understanding the molecular mechanism underlying MC-mediated growth inhibition in cotton, it may also be helpful to disclose the effect of other GA biosynthesis inhibitors in plants. In addition, a better understanding the molecular mechanism of MC action may help accelerate the molecular breeding process of cotton.

Materials and Methods

Plant Materials and Treatments

Gossypium hirsutum (CCRI49) seeds were obtained from Institute of Cotton Research of Chinese Academy of Agricultural Sciences (Anyang, China). Cotton seeds were immersed in water for 8 h at 37°C, and then germinated in sand at 28°C in the dark for 3 days. Subsequently, uniform seedlings were transferred to plastic pots filled with aerated half-strength Hoagland solution and grown hydroponically in a growth chamber with a 14 h photoperiod at a 28/20°C day/night temperature cycle, with a light intensity of 550 µmol m−2 s−1.

Based on the findings of our previous study (Wang et al., 2014), we used 80 mg/L of MC for treatment in this study. The MC standard (purity, 97.0%) was supplied by Hebei Guoxin ahadzi-nonon Biological Technology Co., Ltd. (Hejian, Hebei, China). At the three-leaf stage, 120 seedlings were randomly divided into two groups: MC (90 seedlings) and deionized water as control (30 seedlings). Both treatments were applied to the seedlings by foliar spray. The experiment was performed with three independent biological replicates. The length of each internode was measured at 10 days after treatment. The length of the second internode, an elongating internode, was measured before plants were subjected to MC treatment, and then at 2-day intervals for 10 days. The second internodes were harvested at 0, 48, 72, and 96 h after treatment for RNA extraction and transcriptome analysis. The upper halves of the second internodes were sampled at 10 days after treatment for endogenous hormone content and cell morphology analyses.

For simultaneous treatment of MC and exogenous GA3, 160 seedlings at the three-leaf stage were randomly divided into four groups. The four groups were treated by foliar spraying of deionized water (control), 80 mg/L MC, 100 µM GA3 (Sigma-Aldrich), and combination of 80 mg/L MC and 100 µM GA3. The second internodes were harvested at 72 h after treatment for RNA extraction and quantitative real-time PCR analysis. The experiment was performed with three independent biological replicates.

Histological Analysis

Ten second elongating internodes were collected for the measurement of cell length and cell number of MC-treated and control plants 10 days after MC treatment. The upper zones of the internodes (approximately 5 mm each) were fixed in formalin–acetic acid–alcohol fluid containing 5% acetic acid, 45% ethanol, and 5% formaldehyde. The samples were dehydrated in a graded ethanol/tert-butanol series, embedded in paraffin, and sectioned longitudinally to 10 µm on a rotary microtome (Leica Instruments GmbH; Wetzlar, Germany). Paraffin sections were stained with fast green and digitized using Pannoramic P250 Flash (3DHistech; Hungary). The length of about 100 cells per internode was measured from the longitudinal sections of cortex cells by using Caseviewer software 3.3 (3D HISTECH Ltd., Budapest, Hungary). The cell number in each internode was estimated as the ratio of internode length to mean cell length.

RNA Extraction and Transcriptome Analysis

Total RNA was extracted from the second internodes by using RNAprep Pure Plant Kit (Tiangen, Beijing, China) and then treated with RNase-free DNase I (Takara) to remove genomic DNA. The RNA was electrophoresed on 1% agarose gels for monitoring RNA degradation and contamination. RNA purity, concentration, and integrity were further assessed using Nanodrop (Thermo Scientific, USA) and Agilent 2100 (Agilent Technologies, CA, USA). Twelve RNA-Seq libraries (4 time points × 3 independent biological replicates) were prepared using the Next Ultra Directional RNA Library Prep Kit (NEB), following manufacturer's instructions. In brief, mRNA was purified from total RNA by using poly-T oligo-attached magnetic beads. The mRNA was fragmented into small pieces by using a divalent cation under elevated temperature, and then first-strand cDNA was synthesized by using random hexamer primers and M-MuLV Reverse Transcriptase (NEB). Following cDNA synthesis, the second-strand cDNA was synthesized using DNA polymerase I and RNaseH. Subsequently, the cDNA fragments were adenylated and ligated with adaptors. The ligation products were purified and then enriched using PCR amplification to create libraries. RNA-Seq libraries were sequenced using an Illumina HiSeq4000 platform at Novogene Bioinformatics Institute (Beijing, China).

Transcriptome Sequence Processing and Analysis

Raw sequencing data in FASTQ format were first filtered to remove adapter sequences and low-quality reads (reads with ambiguous bases, > 10% and more than 50% bases with Q ≤ 20) to obtain clean reads by using custom Perl scripts. The clean reads were mapped to the cotton reference genome (https://www.cottongen.org/species/Gossypium_hirsutum/nbi-AD1_genome) by using HISAT software program (Kim et al., 2015). Gene annotation was performed by BLASTX search against Arabidopsis protein database version 10 (http://www.arabidopsis.org) with a threshold of 10−5. Gene expression level was calculated using HTSeq v0.5.4p3 and normalized to the FPKM value (Anders and Huber, 2010). The DESeq package (ver. 2.1.0) was used for pairwise gene expression comparisons (Anders and Huber, 2010). The DEGs (48 vs. 0 h, 72 vs. 0 h, and 96 vs. 0 h) were identified using a FDR of ≤ 0.05, absolute value of log2 (fold change) ≥ 1; and more than 1 FPKM in at least one sample of each comparison. Principal component analysis (PCA) was performed using the R statistical environment (version3.1.1).

GO and KEGG Enrichment Analysis

GO enrichment analysis of DEGs was performed using the GOseq R package (Young et al., 2010), with corrected P-value < 0.05 regarded as significant. KEGG pathways analysis of the DEGs was performed using KOBAS software (Xie et al., 2011).

Quantitative Real-Time PCR Analysis

The same total RNA samples used for transcriptome analysis were used for quantitative real-time PCR (qPCR) analysis. DNA-free total RNA (1 μg) was reverse transcribed into cDNA by using oligo (dT)20 primers and MMLV reverse transcriptase (Takara, Japan). The cDNAs were diluted 10-fold for qPCR analysis. Real-time PCR mixture (20 μL in total volume) included 10 μL of SYBR Premier Ex TaqII mix (Takara, Japan), 0.5 μL of each primer (10 μM), 2 μL of diluted cDNA, and 7 μL DNase-free water. qPCR was performed on a LightCycler 96 real-time PCR instrument (Roche, Switzerland), initiated at 95°C for 10 min, followed by 45 cycles at 95°C for 10 s and 60°C for 30 s. Melting curve analysis was performed at 95°C for 10 s, 65°C for 60 s, and 97°C for 1 s. All reactions were performed in three independent biological replicates with two technical replicates each. GhActin4 was used as an internal control to normalize the gene expression. Primers used for qRT-PCR (Table S1) were designed using Primer3 software (http://primer3.sourceforge.net).

Hormone Quantification

At 6 days after MC treatment, the second internode was used for the measurement of the content of endogenous GA3, GA4, IAA, trans-zeatin, and brassinolide. Endogenous GA3 and GA4 were extracted and quantified as previously described (Wang et al., 2014). For the extraction of IAA and trans-zeatin, about 1 g of plant material was frozen in liquid nitrogen and ground into powder. Next, 10 mL of isopropanol-HCl buffer solution (2:0.002, v/v) was added to the powder and shaken for 30 min at 4°C. Subsequently, dichloromethane (20 mL) was added, shaken for 30 min, and then centrifuged at 13 000 g for 5 min. After centrifugation, the lower organic phase was transferred to a 50-mL tube and evaporated in a constant stream of nitrogen. Each sample was kept in the dark and resolubilized in 400 µL methanol containing 0.1% formic acid, and then filtered using a 0.22 µm microfilter for HPLC-MS/MS analysis. For brassinolide measurement, 2 g of plant material was homogenized in liquid nitrogen with 10 mL 80% methanol and then incubated at 4°C for 2h in the dark. The homogenate was centrifuged at 10 000g for 5minat 4°C. The supernatant was loaded onto a Bond Elut C18 column (ODS; Agilent Technologies, Santa Clara, CA USA) that was eluted with 80% methanol. The eluate was further loaded onto strata-X column that was eluted with 80% methanol. The eluate solution was evaporated in a constant stream of nitrogen, re-dissolved in 200 mL methanol, and then filtered using a 0.22 µm microfilter for HPLC-MS/MS analysis. Three independent biological replicates, each with five technical replicates, were assayed for each hormone.

Statistical Analysis

One-way analysis of variance (ANOVA) was used to evaluate the effect of simultaneous treatment of MC and GA3 on the expression of hormone-related genes using SPSS 17.0 software. Means were compared using the LSD at 0.05 level. Other data were subjected to independent Student's t-test at 0.05 (*) or 0.01 (**) probability levels.

Results

MC Shortened Cotton Seedling Internodes by Reducing Cell Division and Cell Elongation

Our previous study using cotton seedlings grown in the soil showed that the inhibition of internode elongation by MC was dose-dependent and 80 mg/L of MC was more efficient (Wang et al., 2014). In this study, cotton seedlings grown hydroponically were treated at three-leaf stage with foliar spraying of 80 mg/L MC. Ten days after MC treatment, plant height decreased by 40% compared to that of control plants (Figure 1A). The height of the first, second, third, and fourth internodes (from bottom to top of the stem) decreased by 46, 55, 52, and 83%, respectively (Figures 1B, C). The elongation of the second internode, the first visible and youngest sub-apical internode, was inhibited more severely than that of the first internode by MC application. The length of the second internode was reduced by 10, 31, 49, 53, and 55% at 2, 4, 6, 8, and 10 days after MC treatment, respectively (Figure 1D). The inhibition of internode elongation by MC was time-dependent. These results were consistent with our previous observations using cotton seedlings grown in the soil (Wang et al., 2014). Therefore, the second elongating internode at different time points after MC treatment was used for further study.

FIGURE 1
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Figure 1 Effects of mepiquat chloride (MC) on plant height and internode length. Cotton seedlings at three-leaf-stage were treated with 80 mg/L MC by spraying. (A) Plant height, (B) internode phenotype and (C) internode length of control (deionized water) and MC-treated cotton seedlings at 10 days after MC treatment. (D) Dynamic changes in the second internode length of cotton seedlings after MC treatment. Error bars represent the SD of three biological and five technical replicates. Scale bars, 2 cm, *P < 0.05, **P < 0.01, Student's t-test.

Internode elongation involves both cell division and cell elongation (Wang et al., 2018). Previously, we reported that cell elongation in the internode was inhibited by MC (Wang et al., 2014). To determine whether the cell division in the elongating internode was also inhibited by MC application, we evaluated cell number and cell length along the vertical axes of the second internode at 10 days after MC treatment. Consistent with our previous results (Wang et al., 2014), the longitudinal cells in the cortex and pith of MC-treated internodes were significantly shorter than those of control internodes (Figure S1), the average longitudinal cell length of MC-treated internodes was 27% shorter than that of the control internodes (Figure 2A). The cell number along the second internode of the MC-treated plants was 21% less than that of the control plants (Figure 2B). Therefore, MC shortened internodes by suppressing not only cell elongation but also cell division.

FIGURE 2
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Figure 2 Effects of MC treatment on cell length (A) and cell number (B) from the second internode cortex of cotton seedlings at 10 days after treatment. Error bars represent the SD of three biological and five technical replicates. **P < 0.01, Student's t-test.

Overview of the Transcriptome Profile of the Second Internode in Response to MC Treatment

To investigate the transcriptional regulatory mechanisms underlying the inhibition of internode elongation by MC, we analyzed the transcriptome profiles of the second internodes of cotton seedlings from MC-treated plants (0, 48, 72, and 96 h after MC treatment). In all, 12 RNA-Seq libraries were constructed and sequenced. An overview of the RNA-Seq sequencing reads derived from the 12 libraries is shown in Table 1. After adaptor sequence and low-quality reads were removed, each library generated 64.9 to 74.6 million clean reads (Table 1). All 12 libraries had a constant GC content of approximately 43% and high Q30 percentage of approximately 94%. The proportion of clean reads mapped to the cotton genome ranged from 94.8 to 96.2%, and that of the uniquely mapped reads ranged from 87.3 to 89.1%. For global comparison of the transcriptomes derived from 12 samples, principal component analysis among different time points and biological replicates was performed. PC1 clearly separated the control samples (0 h) from MC-treated samples (48, 72, and 96 h), and MC-treated samples at different time points showed less variance (Figure S2), indicating the expression of a substantial number of genes were altered to respond to MC treatment.

TABLE 1
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Table 1 Summary of sequenced reads and mapping results of RNA-Seq libraries.

Differentially Expressed Genes (DEGs) in Response to MC Treatment

To determine the gene expression changes in the internodes resulting from MC treatment, we normalized gene expression by using the fragments per kilobase of exon per million fragments mapped (FPKM) value. Transcripts with |log2 (fold change)| ≥ 1, false discovery rate (FDR) ≤ 0.05 and more than 1 FPKM in at least one sample of each comparison were considered as DEGs. Compared with that in the control (0 h), 1378 (645 upregulated and 733 downregulated), 2751 (1086 upregulated and 1665 downregulated), and 3459 (1479 upregulated and 1980 downregulated) DEGs were identified after MC treatment for 48, 72, and 96 h, respectively (Figure 3A). The numbers of both up- and down-regulated DEGs increased with time. As shown in the Venn diagrams (Figure 3B), 1058 (456 upregulated and 602 downregulated) DEGs were shared between 48 vs. 0 h and 72 vs. 0 h; 1675 (560 upregulated and 1115 downregulated) DEGs, between 72 vs. 0 h and 96 vs. 0 h; and 849 (323 upregulated and 526 downregulated) DEGs, between 96 vs. 0 h and 48 vs. 0 h. Among them, 273 and 490 genes were constantly induced or suppressed by MC treatment, respectively.

FIGURE 3
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Figure 3 Differentially expression genes (DEGs) analysis. (A) Number of DEGs responding to MC-treatment (48 h, 72 h, 96 h vs. 0 h). (B) Venn diagram of DEGs at different time points after MC treatment.

Functional Analysis of the DEGs in Response to MC

To better understand the potential function of DEGs responding to MC application, we conducted Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses for pairwise comparisons. GO enrichment was annotated according to biological process, cellular component, and molecular function (Figure S3). In general, for the biological process and molecular function groups, enrichment patterns of DEGs were similar at 48, 72, and 96 h. In the biological process category, the most dominant terms were “single-organism process,” “response to stimulus,” and “response to abiotic stimulus.” In the molecular function category, the most highly represented GO terms were associated with “binding,” “transcription factor activity, sequence-specific DNA binding,” and “nucleic acid binding transcription factor activity.” However, in the cellular component category, the top three enriched GO terms were different among the DEGs at the three time points: “chloroplast part,” “plastid part,” and “thylakoid” were dominantly enriched at 48 h; “cell part,” “cell,” and “cell periphery” were enriched at 72 h; whereas “chromatin,” “chromosomal part,” and “chromosome” were enriched at 96 h.

For the KEGG pathway enrichment analysis, 89, 73, and 82 pathways were categorized from pairwise comparisons between 48 vs. 0 h, 72 vs. 0 h and 96 vs. 0 h, respectively (Table S2). The top 20 enriched KEGG pathways of each comparison are shown in Figure 4. The most significantly enriched KEGG pathways in the 48 vs. 0 h DEGs was photosynthesis-antenna proteins, followed by circadian rhythm-plant, biosynthesis of secondary metabolites, metabolic pathways, and thiamine metabolism. Five KEGG pathways were identified to be significant for the DEGs from the 72 vs. 0 h as well as 96 vs. 0 h comparison, which included biosynthesis of secondary metabolites, plant hormone signal transduction, fatty acid elongation, circadian rhythm-plant, and photosynthesis-antenna proteins.

FIGURE 4
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Figure 4 KEGG pathway enrichment analysis of DEGs between MC treatment and control. Y-axis shows the KEGG pathway. X-axis shows the Rich factor. The size and color of each point represents the number of genes enriched in a particular pathway and the -log10 (q-value), respectively, 0 h: control; 48, 72, and 96 h: 48 h, 72 h, and 96 h after MC-treatment.

DEGs Related to Cell Cycle and Cell Expansion

Based on the reduced cell number and length in MC-treated internodes, we investigated the changes in the expression of genes related to cell cycle and cell wall. In total, 57 DEGs were found to be related to cell cycle and cell division (Figure S4A and Table S3). Interestingly, most of these genes were significantly downregulated, including cyclin genes (CYCA1;1, CYCA2;2, CYCA2;3, CYCA3;2, CYCB2;4, CYCD3;1, CYCD3;2, CYCD4;1, CYCU1;1, CYCU2;1, CYCU4-1), cyclin-dependent kinase B1;2 (CDKB1;2), cyclin-dependent kinase regulatory subunit 1 (CKS1), E2F transcription factor-like (E2FF), G2/mitotic-specific cyclin-1 (CCNB1), peptidyl-prolyl cis–trans isomerase (FKBP65), cell division control proteins (CDC2, CDC7, CDC45), cytochrome P450 78A (CYP78A3, CYP78A5, CYP78A7), syntaxin-related protein (KNOLLE), mitotic spindle checkpoint protein (BUBR1), MFP1 attachment factor 1 (MAF1), and meiotic nuclear division protein 1 (MND1). However, nine cell cycle-related genes were upregulated, such as cyclin-dependent kinase inhibitor (KRP6 and KRP7) and cell number regulator 1 (CNR1; Table S3).

Cell wall architecture is a key determinant of plant growth. We identified 75 DEGs involved in the biosynthesis and modification of cell wall (Figure S4B and Table S4). Most of these genes were highly expressed in the control internodes, such as cell wall proteins [arabinogalactan peptides (AGPs) and fasciclin-like arabinogalactan proteins (FLAs)], α-expansins (EXPAs), and xyloglucan endotransglycolase/hydrolases (XTHs). Among these DEGs, 45 genes were significantly downregulated by MC, including three cellulose synthase-like protein G3 (CSLG3), one glucuronoxylan glucuronosyltransferase 7 (IRX7), two pectinesterase (PME68), five pectinesterase/pectinesterase inhibitor (PMEI), three galacturonosyltransferase-like (GATL1, GATL7, GATL9), four AGPs (AGP20, AGP30), four FLAs (FLA2, FLA8), three leucine-rich repeat extensin-like protein (LRX2, LRX4), one BURP domain-containing protein 17 (BURP17), one putative cell wall protein, six EXPAs (EXPA4, EXPA8, EXPA15), and twelve XTHs (XTH2, XTH8, XTH9, and XTH32). Notably, the expression of cell wall protein-encoding genes, BURP17, LRX4, EXPAs (Gh_D10G1145, Gh_A10G2323, and Gh_D05G2934), and XTHs (Gh_D02G0220, Gh_A10G0146, Gh_A11G2885, and Gh_D11G3271) showed more than 2-fold down-regulation at 96 h after MC treatment.

Cell division and expansion require the continuous uptake of water to maintain turgor pressure. Aquaporins (AQPs) play crucial roles in the transport of water and other small molecules across membranes in plants (Ding et al., 2019). According to sequence similarity and sub-cellular localization, AQPs are divided into five subgroups: plasma membrane intrinsic proteins (PIPs), tonoplast intrinsic proteins (TIPs), nodulin26-like intrinsic proteins (NIPs), small basic intrinsic proteins (SIPs), and X intrinsic proteins (XIP) (Li et al., 2014). PIPs can be further divided into PIP1 and PIP2, on the basis of sequence similarity. To assess whether and which subfamily members of AQPs are affected by MC treatment, we analyzed the differentially expressed AQPs. Our RNA-Seq data showed that some members of PIPs and TIPs were highly expressed in the internodes of control plants (Figure S4C and Table S5). In contrast, 19 PIPs and 7 TIPs were consistently suppressed after MC treatment, and only three PIPs were induced by MC (Figure S4C). The expression level of three PIPs (Gh_A01G1843, Gh_D09G1409, and Gh_D01G2086) and three TIPs (Gh_D03G1253, Gh_D10G2205, and Gh_A10G1912) was decreased by more than 2-fold. The decreased expression of PIPs and TIPs may have contributed to the inhibition of internode elongation by MC.

DEGs Related to Hormone Metabolism and Signal Transduction

To investigate the roles of hormones in the inhibition of internode elongation by MC, we identified DEGs involved in the phytohormone metabolism, transport, and signal transduction pathways by comparing the profiles between control samples and post MC treatment samples. About 155 hormone-related DEGs were detected after treatment with MC (Figure 5 and Table S6). Most of these genes belonged to auxin metabolism and response pathways, followed by GA, ethylene, CK, and ABA; relatively fewer DEGs were related to salicylic acid (SA) and jasmonic acid (JA) (Figure 5). Most of the DEGs showed decreased expression except for the CK pathway-associated DEGs, which were generally induced by MC treatment (Figure 5).

FIGURE 5
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Figure 5 Heatmap of differentially expressed genes involved in plant hormone biosynthesis, transport, and signaling transduction in the second internode between MC treatment and control. (A–H) represent gibberellin , auxin, cytokinin, ethylene, abscisic acid, brassinosteroid, salicyclic acid and jasmonic acid, respectively. Gene expression level (FPKM) was normalized with Z-score. Blue indicates lower expression, and red indicates higher expression. 0 h: control; 48, 72, and 96 h 48 h, 72 h, and 96 h after MC-treatment.

Thirty-two DEGs related to GA were found to be responsive to MC application (Figure 5A). In the GA metabolism pathway, seven DEGs were found to be downregulated after MC treatment, including one biosynthetic gene (KAO, Gh_Sca030829G01) and six catabolic genes (five GA2ox1 and one CYP714A1), whereas genes encoding another KAO (Gh_A06G1386), two ent-copalyl diphosphate synthase (KS), one GA 20 oxidase 2 (GA20ox2), and one GA 2 oxidase2 (GA2ox2) were upregulated by MC. In the GA signal transduction pathway, 14 genes encoding GRAS family regulatory proteins, including DELLA (GAI, RGA2, SCR, SHR, and PAT1), and genes encoding GID1 were downregulated at different time points (Table S6).

Of the 39 DEGs related to auxin pathway, the genes related to auxin biosynthesis (TAR2), catabolism (GH3), signaling (TIR1, ARF9, AUX22, AUX6B, AUX15A, AUX10A, IAA4, IAA14, IAA29, and IAA26), and transport (PIN1, PIN5, and PIN6) were downregulated at different time points (Figure 5B). Eight genes encoding auxin-responsive proteins, including SAUR66, SAUR20, and SAUR71, were also significantly downregulated (Table S6).

Expression of 23 DEGs involved in CK biosynthesis, modification, transport, and signaling was altered in response to MC (Figure 5C). IPT3 (Gh_A11G3078), encoding a rate-limiting enzyme in CK biosynthesis, was upregulated by 2.9-, 3.2-, and 3.6-fold at 48, 72, and 96 h after MC treatment, respectively, whereas another IPT3 (Gh_D11G3514) was downregulated only at 48 h after treatment. Gh_D11G1669, a cytokinin hydroxylase (CYP735A1), was significantly induced by MC treatment. The expression of four orthologs of CYTOKININ OXIDASES/DEHYDRO-GENASES (CKX6 and 7) involved in the irreversible degradation of CKs was significantly upregulated at different time points, and only CKX1 was downregulated. The gene encoding CK transporter purine permease 11 (PUP11) was also upregulated. The expression of UGT76C2, which encodes a glycosyltransferase that catalyzes the N-glycosylation of CK, was downregulated. The expression of three genes (LOG3 and LOG5) encoding CK-activating enzymes was significantly decreased, especially at 96 h after MC treatment. ARRs are associated with CK signal transduction pathway; nine induced ARR genes (two B-type ARRs, five A-type ARRs, and two B-ARR-like genes) and four suppressed ARR-like genes were identified after MC treatment (Table S6).

Six DEGs were found to be related to ethylene biosynthesis (Figure 5D). Among them, a gene encoding one S-adenosyl methionine (SAM) synthase, one 1-aminocyclopropane-1-carboxylate (ACC) synthase (ACS), and one homolog of ACC oxidase (ACO) were significantly downregulated in response to MC; interestingly, the ACO homolog was downregulated by 2.0- and 5.2-fold at 72 and 96 h, respectively. However, three ACO genes were upregulated, especially at 48 h after MC treatment. In the ethylene-response pathway, eighteen DEGs were found to be downregulated by MC, including one ETR2, one EBF1, fourteen ethylene-responsive TFs (ERF, WRI1, TINY, AIL6, ANT, RAP23, and CRF5), and two REVERSION-TO-ETHYLENE SENSITIVITY1 (RTE1) genes (Table S6).

In the ABA metabolism pathway, one gene encoding 9-cis epoxy carotenoid dioxygenase3 (NCED3) and one ABA 8ʹ-hydroxylase (ABAH) encoding gene were upregulated by MC, whereas one zeaxanthin epoxidase (ZEP) gene and two ABAHs were consistently suppressed (Figure 5E). Fifteen ABA signaling-related genes were identified as DEGs, with eight downregulated genes (PYL4, PYL6, PP2C27, PP2C34, and PP2C38) and five upregulated ones (ABI5, PP2C35, and PP2C59) (Table S6).

Two CYP90A1/CPD (constitutive photomorphogenesis and dwarfism) genes involved in BR biosynthesis were significantly downregulated by MC treatment (Figure 5F). However, Gh_A04G0959 (BAK1), encoding a receptor kinase mediating BR signaling, was upregulated 96 h after MC treatment. Five BR signaling components BR-ENHANCED EXPRESSION (BEE) were significantly downregulated by MC treatment, including one BEE1, two BEE2, and two BEE3 (Table S6).

The expression of Gh_A12G2643, isochorismate synthase 1 (ICS1) involved in SA biosynthesis; Gh_D12G0595 and Gh_A12G0584, salicylate carboxymethyltransferase (SAMT) related to the conversion of SA to SA methyl ester; and Gh_D11G1910, salicylic acid-binding protein 2 (SABP2) converting MeSA to SA, was suppressed by MC (Figure 5G). In the SA response pathway, one NPR3, a SA receptor, was significantly upregulated. In the JA biosynthesis and signaling pathway, only two allene oxide synthase AOS/CYP74A genes were downregulated by MC treatment (Figure 5H).

DEGs Related to Lignin and Flavonoid Metabolism

KEGG enrichment showed that DEGs involved in secondary metabolism were overrepresented in response to MC treatment. Therefore, we analyzed the DEGs related to lignin and flavonoid metabolism, which are associated with plant growth (Dare et al., 2013; Muro-Villanueva et al., 2019). The biosynthetic pathways leading to lignin and flavonoid diverge at the common intermediate p-coumaroyl CoA. A total of 37 genes involved in lignin biosynthesis were differentially expressed in the internodes between MC-treated and control plants (Figure S5A and Table S7). Among these genes, 22 DEGs were downregulated by MC, including two 4-coumarate-CoA ligase (4CL), one 4-coumarate-CoA ligase-like (4CLL), two caffeoylshikimate esterase (CSE), four shikimate O-hydroxycinnamoyltransferase (HCT), one caffeic acid 3-O-methyltransferase (COMT), one cinnamyl alcohol dehydrogenase (CAD), one cinnamoyl-CoA reductase (CCR), four laccase (LAC), and six peroxidase (PRX). Notably, one HCT showed more than 2.5-fold down-regulation after MC treatment. Fifteen DEGs were upregulated, including one 4CL, two CSE, two COMT, one CAD, one LAC, and eight PRX.

In total, 14 DEGs involved in flavonoid biosynthesis were identified (Figure S5B and Table S7). Among these DEGs, 10 were downregulated by MC, including two CHS, one leucoanthocyanidin dioxygenase (LDOX), two flavonol synthase (FLS), one flavanone 3-dioxygenase, one flavonoid 3-O-glucosyltransferase, two anthocyanin 5-aromatic acyltransferase, and one flavonol sulfotransferase-like. The catalysis of CHS is the initial step of the flavonoid biosynthesis pathway. Interestingly, two CHS genes showed significant down-regulation at different time points after MC treatment, with more than 3-fold down-regulation both at 72 and 96 h.

Differentially Expressed TFs

The changes in gene expression level are known to be closely related to the alterations of TFs. We identified 497 differentially expressed TFs that belong to 46 different families, including MYB, Orphans, bHLH, AP2-EREBP, HB, WRKY, NAC, bZIP, GRAS, AUX/IAA, GRF, and TCP, in response to MC treatment (Table S8). Some important TFs are shown in Figure S6. Most of the MYBs were downregulated, including genes functioning in plant circadian clock and ABA accumulation (Adams et al., 2018) and those associated with the ABA signal pathway (Ni et al., 2018). The bHLH TFs play important roles in the control of cell elongation. Five BEEs (BEE1, BEE2, and BEE3), BR early-response genes and associated with BR-regulated cell elongation (Friedrichsen et al., 2002), and four PREs (PRE5, PRE6) were significantly downregulated. The expression of AP2/EREBP family TFs was altered in MC-treated internodes. Twelve ERF genes involved in ethylene signaling and response pathway were also downregulated in response to MC. Two ANT and CRF5 genes each were downregulated. Among Orphans family TFs, fourteen BBX (BBX19, BBX24, BBX32) TFs were significantly downregulated by MC. One ETR2, an ethylene receptor, was significantly downregulated. In contrast, ten CONSTANS, positive regulators of photoperiodic flowering, and seven ARR (ARR2, ARR8, ARR9, and ARR14) genes were significantly upregulated. Moreover, 14 NAC TFs were upregulated in response to MC (Table S8). The HB family TFs such as ATHB, KNAT6, and HAT were significantly downregulated, except for HAT22, which was upregulated. The majority of WRKY family TFs was upregulated (Table S8). Nine bZIP members, were significantly downregulated (Table S8). The transcription level of all GRF family TFs decreased gradually after MC treatment. Remarkably, most of GRF genes showed more than 2-fold down-regulation 96 h after MC treatment compared with that in the control. Six TCP TFs were downregulated.

Validation of RNA-Seq Data Using qRT-PCR

To validate the reliability of RNA-Seq data, we randomly selected 19 DEGs related to phytohormone biosynthesis and signal transduction pathways, cell cycle-related genes and TFs for qRT-PCR analysis (Figure 6). In addition, a novel gene which showed more than two-fold up-regulation at different time points after MC treatment was selected to be validated. The expression profiles of these genes from both qRT-PCR and RNA-Seq analyses were highly consistent, indicating the reliability of the RNA-Seq data.

FIGURE 6
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Figure 6 Validation of DEGs from RNA-Seq analysis by quantitative reverse transcription polymerase chain reaction (qRT-PCR). Y-axis represents the log2 fold change values at 48 h, 72 h, and 96 h after MC treatment compared to control (0 h) (RNA-Seq), or -delt delt Ct (qRT-PCR). * Indicates significantly regulated by RNA-Seq analysis. Error bars represent the SD of three biological and two technical replicates.

Changes in Endogenous Hormone Content in the Second Internode After MC Treatment

Previously, we showed that MC significantly reduced endogenous GA3 and GA4 levels during internode elongation (Wang et al., 2014). Numerous genes associated with hormone biosynthesis and signal transduction pathway were altered by MC treatment. To investigate whether MC affects the contents of other endogenous hormones, we quantified IAA, BR, and CK (trans-zeatin) as well as different types of GA (GA1, GA3, and GA4) levels in the second internode of control and MC-treated plants. The contents of GA1, GA3, and GA4 were reduced by 78, 57, and 29% in MC-treated plants 6 days after treatment, respectively (Figure 7A), confirming our previous results. Similarly, endogenous IAA and brassinolide (BL), the most biologically active BRs, were reduced by 46% and 36%, respectively (Figures 7B, C). In contrast, endogenous CK level was increased by 95% in MC-treated plants (Figure 7D). These data indicate that the dwarfism caused by MC is closely related to the reduction of endogenous GA, IAA, and BR content.

FIGURE 7
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Figure 7 Effects of MC treatment on the contents of endogenous phytohormone in the second internode of cotton seedlings 6 days after treatment. (A) GA1, GA3, and GA4, (B) IAA, (C) brassinolide and (D) cytokinin. Error bars represent the SD of three biological and five technical replicates. **P < 0.01, Student's t-test.

Exogenous GA Can Antagonize the Effect of MC on Transcription of Hormone-Related Genes

The crosstalk between GA and other hormones has been reported (Wang et al., 2015b; Liu et al., 2018; Zhang et al., 2019). To verify whether the altered transcription of many hormone-related genes by MC is GA dependent or not, three-leaf-stage seedlings were treated with MC, GA3 or both MC+GA3 by foliar spraying. The expression changes of twelve genes from GA (GA2ox1 and GAI), auxin (PIN6 and TAR2), CK (IPT3 and PUP11), BR (CPD and BEE3), ABA (NCED3 and ABI5) and ethylene (ACOH and ETR) metabolism, transport or signaling pathways were determined using qRT-PCR. As shown in Figure 8, most of these genes responded oppositely to MC treatment compared to exogenous GA treatment. MC significantly reduced the expression levels of GA2ox1, GAI, PIN6, TAR2, CPD, BEE3, ACOH, and ETR, while induced the expression of IPT3, PUP11, NCED3, and ABI5; conversely, exogenous GA3 application increased the expression of GA2ox1, GAI, PIN6, TAR2, BEE3, and ETR, and decreased that of IPT3, PUP11, NCED3, and ABI5, CPD, and ACOH did not respond to exogenous GA. Interestingly, most of these genes under simultaneous MC+GA3 treatment showed similar expression levels to those in control samples. These results clearly demonstrate that MC does not directly affect other plant hormones, but through inhibition of the GA biosynthesis.

FIGURE 8
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Figure 8 Exogenous GA antagonize the effect of MC on the expression of hormone-related genes. Cotton seedlings at three-leaf-stage were treated with deionized water (control), 80 mg/L MC, 100 μM GA3, and combination of 80 mg/L MC and 100 μM GA3 (MC+GA3) by spraying. Samples were collected at 72 h after treatments. Expression of twelve genes of GA (GA2ox1 and GAI), auxin (PIN6 and TAR2), cytokinin (IPT3 and PUP11), brassinosteroid (CPD and BEE3), abscisic acid (NCED3 and ABI5), and ethylene (ACOH and ETR) metabolism, transport or signaling pathways were tested by qRT-PCR. GhActin4 was used as an internal control to normalize the gene expression. Gene expression in the control samples was set as 1.0, fold-changes of RNA transcripts were calculated by the 2−△△Ct. Error bars represent the SD of three biological and two technical replicates. Small letters above the bars indicate statistically significant differences by One way ANOVA (LSD, P < 0.05).

Discussion

MC has been the most successful and widely used plant growth regulator in cotton; it allows to compact plants by reducing internode length and leaf size (Reddy et al., 1990; Siebert and Stewart, 2006; Ren et al., 2013). Previously, we showed that MC reduced the synthesis of GA, resulting in the suppression of cell elongation in the internodes of cotton seedlings (Wang et al., 2014). In this study, we analyzed the global transcriptional changes in the second elongating internodes of cotton seedlings in response to MC to elucidate the other potential mechanisms underlying MC-induced internode elongation.

MC Reduced Internode Elongation by Inhibiting Cell Division and Expansion

As previously reported (Reddy et al., 1990; Siebert and Stewart, 2006; Ren et al., 2013; Wang et al., 2014), MC significantly reduced plant height by shortening internode length (Figure 1). MC has been shown to limit internode elongation mainly by obstructing cell elongation (York, 1983; Wang et al., 2014). Our histological observation indicated that cell number and length of internodes were both significantly reduced by MC (Figures 2 and S1). Consistent with the results of microscopic analysis, transcriptome data showed that numerous genes related to cell cycle and cell wall were altered by MC treatment. In plants, the cell cycle is mainly regulated by CDKs and cyclins (Sablowski and Carnier-Dornelas, 2013). Our study showed that B-type CDKs; CKS1; A-, B-, D-, and U-cyclins; and G2/mitotic-specific cyclins were downregulated by MC (Figure S4A). The upregulation of cell cycle inhibitor genes (KRP6 and KRP7) by MC could also contribute to the reduced cell division (Figure S4A). Moreover, five genes encoding cell division control proteins were downregulated, these proteins primarily target cell cycle regulators for proteolysis, (Figure S4A; Baek et al., 2011). The CYP78A family members have been shown to control reproductive organ growth and seed development by promoting cell proliferation in Arabidopsis (Adamski et al., 2009; Fang et al., 2012) and wheat (Ma et al., 2015a; Ma et al., 2015b), In this study, six CYP78A family members showed more than 2-fold downregulation 96 h after MC treatment (Figure S4A), suggesting that they might control internode elongation by regulating cell proliferation in cotton. A cotton CNR1 was significantly upregulated in MC-shortened internodes (Figure S4A), consistent with the previous study that overexpression of CNR1 reduced cell number in the internode of maize (Guo et al., 2010).

Cell elongation requires the selective loosening of cell walls (Wolf, 2017). EXPAs and XTHs are two types of important cell wall proteins that are involved in cell elongation. EXPAs can break the hydrogen bonds linking cellulose and hemicellulose, especially xyloglucan, thereby loosening the cell wall (Marowa et al., 2016). XTHs can cleave and reattach xyloglucan polymers (Atkinson et al., 2009). In our previous study, we showed that MC suppressed the expression levels of GhEXP and GhXTH2 in cotton internodes within 2–10 d after treatment (Wang et al., 2014). In this study, six EXPs and twelve XTHs were found to be significantly downregulated by MC (Figure S4B). In addition, other cell wall-related genes such as PMEs, FLAs, and AGPs were also downregulated by MC treatment (Figure S4B), contributing to the inhibition of internode elongation. PMEs catalyze the demethyl esterification of pectin and regulate pectin reconstruction, thereby increasing the extension of cells (Wolf, 2017). High PME activity was required for cell elongation in germinating shoots (Jeong et al., 2015). AGPs have been reported to be involved in cell elongation (Coll-Garcia et al., 2004; Yang et al., 2014). FLAs, cell surface glycoproteins, belonging to AGPs, are important for normal cell expansion (Shi et al., 2003).

Cell growth is tightly related to the regulation of hydraulic and turgor pressure, which is associated with AQPs (Ding et al., 2019). The significance of PIPs and TIPs in tissue elongation has been shown by a positive correlation between gene expression and cell expansion in leaves, hypocotyls, roots, reproductive organs, and fruits (Chaumont and Tyerman, 2014). In this study, most PIPs and TIPs exhibited reduced expression in the internodes shortened by MC treatment (Figure S4C), which further affected internode elongation.

MC Remarkably Altered the Biosynthesis and Signaling Transduction of Multiple Hormones in a GA-Dependent Manner

Previously, we showed that MC suppressed the expression of GA biosynthesis genes (GhCPS, GhKS, GhGA20ox, and GhGA3ox), GA catabolism genes (GhGA2ox), and signal transduction genes (GAI) (Wang et al., 2014). In this study, RNA-Seq profiles showed similar expression changes in GA metabolism and signaling genes. The majority of GA associated DEGs were downregulated by MC, including the GA biosynthesis gene (KAO1), GA catabolism genes (GA2ox1, CYP714A1), and GA signal transduction genes (RGA2, GAI, GID1) (Figures 5A and 8). Endogenous GA1, GA3, and GA4 contents were remarkably reduced by MC 6 days after treatment (Figure 7A), consistent with the expression change of GA associated genes and our previous study (Wang et al., 2014). The bioactive GA homeostasis are maintained through a number of feedback and feed forward mechanisms (Wang et al., 2015b; Zhang et al., 2019). In this study, exogenous GA3 induced the expression of GA2ox1 and GAI (Figure 8), in accordance with previous reports that GA2ox and DELLAs are up-regulated by exogenous GA (Wang et al., 2015b; Zhang et al., 2019).

Auxin also plays important roles in the determination of plant height by regulating cell expansion and cell division. The levels of free active auxin are determined by biosynthesis, conjunction, and polar transport in plant organs. Our RNA-Seq data showed that the expression of genes related to auxin biosynthesis (TAR2) and conjunction (GH3) were remarkably decreased by MC (Figures 5B and 8). The decreased expression of PIN family genes (PIN1, PIN5, and PIN6) suggested that auxin transport and homeostasis were disrupted in cotton internodes by MC treatment (Figures 5B and 8). Consistent with the decreased biosynthesis and transport of auxin, reduced IAA levels were observed in MC-treated internodes 6 days after treatment (Figures 5B and 7B). Furthermore, the down-regulation of auxin signaling genes such as auxin receptor TIR1, auxin response factor ARF, and AUX/IAA transcriptional repressors indicated that auxin signal transduction was somehow blocked in cotton internodes by MC. Similarly, the inhibited expression of auxin-related genes were also observed in Agapanthus praecox (Zhang et al., 2015) and Jatropha curcas (Seesangboon et al., 2018), and in litchi by uniconazole (Ohnishi et al., 2006). Opposite to the downregulation by MC, we found that exogenous GA3 upregulated the expression of TAR2 and PIN6 (Figure 8), similar to previous studies in Populus (Björklund et al., 2007), Arabidopsis (Li et al., 2014), and Eucalyptus grandis (Liu et al., 2018). Under simultaneous MC+GA3 treatment, the expression of TAR2 and PIN6 showed no obvious difference compared with controls, suggesting that exogenous GA can offset the reduced GA content by MC. These results indicate that the repression of auxin-related genes by MC is through the inhibition of GA biosynthesis.

BRs are essential for stem elongation, and BR-deficient mutants exhibit characteristic dwarfism and compact stature (Velde et al., 2017). CPD is crucial for BR biosynthesis (Ohnishi et al., 2006). In this study, MC significantly inhibited the expression of two CPDs, as well as caused a remarkable reduction in BL content in MC-treated internodes (Figures 5F, 7C, and 8). BEEs are associated with BR signal transduction, the bee1 bee2 bee3 triple mutant Arabidopsis showed similar phenotype to BR mutants (Friedrichsen et al., 2002). Overexpression of BEE3-like gene in poplar increased plant height and internode length (Noh et al., 2015). As expected, MC significantly downregulated BEE1, BEE2, and BEE3, whereas upregulated BAK1, this is probably due to the fact that BAK1 is shared with other signaling pathways such as plant immunity (Postel et al., 2010). Complicated crosstalk exists between BR and GA. Studies showed that the crosstalk between BR and GA differed depending on hormone concentrations, development stages, tissues, and plant species (Tong and Chu, 2016; Unterholzner et al., 2016). We found that exogenous GA3 increased the expression of BEE3 but did not affect that of CPD (Figure 8). Similar to auxin-related genes, exogenous GA3 abolished the repression of MC on the expression of CPD and BEE3, indicating MC affects BR synthesis in a GA-dependent manner.

GAs and CKs are known to antagonistically regulate multiple developmental processes such as hypocotyl and internode elongation (Weiss and Ori, 2007). Unlike GA, auxin, and BR, most CK-related DEGs were upregulated by MC (Figure 5C). MC-induced increase of CK (trans-zeatin) content was consistent with the up-regulation of CK biosynthesis (IPT3 and CYP735A1) and transport genes (PUP11) in cotton internodes (Figures 5C, 7D, and 8). This correlated well with other studies that other GA biosynthesis inhibitors such as PAC, uniconazole, and Pro-Ca increase CK levels in different plant tissues (Grossmann et al., 1994; Upreti et al., 2013; Liu et al., 2015). Active CKs are degraded mainly by CKX, which can be induced by exogenous CK (6-BA) owing to feedback mechanisms (Kieber and Schaller, 2018; Ni et al., 2018). Therefore, the MC mediated upregulation of CKX1, CKX6, and CKX7 might be attributed to the increased CK levels in cotton internodes. A-type ARR genes are the primary responsive genes in CK signaling pathway and can be transcriptionally induced in response to cytokinin (Kieber and Schaller, 2018). Nine ARR genes were upregulated by MC in cotton seedlings (Figure 5C), suggesting that MC affects not only CK levels but also its signaling in cotton internodes. Application of exogenous GA3 led to repressed expression of IPT3 and PUP11 (Figure 8), this agree well with the previous studies that GA down-regulated the expression of CK-signaling-related genes in apple (Zhang et al., 2019) and Camellia sinensis (Di et al., 2019), and inhibited CK responses in Arabidopsis (Greenboim-Wainberg et al., 2005). The MC-induced expression of IPT3 and PUP11 was significantly inhibited by combined MC and GA3, suggesting MC affected CK biosynthesis, transport, and signaling in a GA-dependent manner.

Ethylene is known to promote internode elongation in deep-water rice plants (Minami et al., 2018). In cotton, ethylene is the major phytohormone that stimulates fiber cell elongation (Shi et al., 2006). While, the role of ethylene in the internode development is not yet completely understood. Previous studies showed that anti-GA growth retardants, such as PAC and uniconazole, suppress ethylene synthesis by blocking ACO (Kraus et al., 1992; Min and Bartholomew, 1996). In this study, not only ACO, but also SAM synthase and ACS were significantly suppressed by MC (Figures 5D and 8). ETR2 (ethylene receptor) and EBF1 (ethylene signaling) were inhibited by MC, too. Zhang et al. (2015) reported that PAC repressed the expression of ethylene signal transduction genes in the dwarfing scape of Agapanthus praecox. Exogenous GA3 increased the expression of ETR, but did not affect ACOH (Figure 8), consistent with a previous report that the expression of ethylene-related genes were altered differently by exogenous GA (Di et al., 2019). Similar expression levels of ACOH and ETR between MC+GA3 treatment and control may result from the antagonism of MC and GA, suggesting that MC modulates the expression of ethylene-related genes through inhibiting GA biosynthesis.

ABA is a negative regulator of stem elongation during submergence (Hirayama and Shinozaki, 2007). ABA content was reduced in response to submergence in the elongating internodes of rice (Minami et al., 2018). In our study, MC treatment increased the expression level of NCED3, which encodes a rate-limiting enzyme in ABA biosynthesis, and suppressed the expression of two ABAH4/CYP707A4, which encode ABA inactivation enzymes (Figures 5E and 8). In addition, ABI5, an important positive regulator of ABA signaling, was activated, while PP2Cs and RAV1, negative regulators of ABA signaling, were suppressed. These results imply that ABA biosynthesis and signal transduction are were enhanced by MC. Induced ABA biosynthesis was also found in potato by CCC (Wang and Xiao, 2009), in mango by PAC (Upreti et al., 2013) and in duckweed by uniconazole (Liu et al., 2015). We also found that exogenous GA3 can repress the expression of NCED3 and ABI5 (Figure 8), which is in agreement with previous findings that exogenous GA repressed the expression of NCED3 and key ABA-signaling genes (Liu et al., 2018; Zhang et al., 2019). MC-induced expression of ABA-related genes seems to be dependent on GA based on similar expression levels of these genes between MC+GA3 treatment and control.

The Inhibition of Internode Elongation by MC Requires Many TFs

Several TF families, including bHLH, AP2-EREBP, Orphans, MYB, GRF, and TCP, have been characterized for their regulatory roles in plant growth; they are mainly related to the triggering of downstream signaling cascades of hormones and metabolites. BEEs or PREs are involved in phytochrome signal transduction. In Arabidopsis, the overexpression of PRE1, PRE5, or PRE6 resulted in elongated hypocotyl compared with that in the wild-type seedlings (Lee et al., 2006). In this study, the reduced expression of five BEEs and six PREs by MC might limit cell elongation of cotton internodes, which could be attributed to the reduced GA, BR, and auxin levels (Figure S6).

GRFs, plant-specific TFs, are involved in the regulation of leaf development, stem elongation, root growth, fruit enlargement, and seed formation (Kim and Tsukaya, 2015; Omidbakhshfard et al., 2015). GRFs increased leaf size by enhancing cell number or cell size (Nelissen et al., 2015; Jiang et al., 2018). Loss-of-function mutants of Arabidopsis AtGRFs and dominant-repressed transgenic poplar plants exhibited small leaves (Kim et al., 2003; Jiang et al., 2018).The repression of OsGRFs resulted in dwarf rice plants with short internodes (Kuijt et al., 2014). Li et al. (2018) reported that the expression of GRFs was reduced by PAC. In this study, the repressed expression of twelve GRFs in cotton by MC suggested the important roles of GRFs in MC-induced inhibition of internode elongation (Figure S6).

The TCP family has been subdivided into classes I and II in Arabidopsis. Class I TCPs are thought to promote growth, whereas class II genes inhibit growth (Li et al., 2005). However, this classification is not always clear. In Arabidopsis, cell proliferation is promoted in young internodes, but inhibited in leaves by AtTCP14, a member of class I TCPs (Kieffer et al., 2011). In contrast, gain-of-function and loss-of-function mutants of class II TCP lead to increased and decreased hypocotyl cell length, respectively (Challa et al., 2016). In the present study, the reduced expression of TCP14, TCP7 (class I TCP), and TCP4, TCP5 (class II TCP) in MC-treated internodes might contribute to the inhibition of internode elongation. Davière et al. (2014) showed a positive function of class I TCP factors in GA-mediated control of plant height. Therefore, the suppression of TCP14 and TCP7 by MC may be related to the reduced GA (Figure S6).

ANT and AIL, AP2-type TFs, are positive regulators of cell proliferation and organ growth in plants. ANT has been suggested to promote plant growth by activating the expression of CYCD3 (Mizukami and Fischer, 2000). In Arabidopsis, overexpression of ANT increased leaves size, while ant mutants show reduced size of leaves (Mizukami and Fischer, 2000). Arabidopsis ant ail6 double mutants exhibited reduced stature and smaller rosette leaves because of the reduced cell expansion or cell number (Krizek et al., 2016). BBX proteins are also positive regulators during plant growth and development such as seedling photomorphogenesis and shade avoidance (Holtan et al., 2011; Preuss et al., 2012; Crocco et al., 2015; Wang et al., 2015a). In Arabidopsis, the inhibition of BBX19 or BBX24 expression repressed hypocotyl elongation (Crocco et al., 2015; Wang et al., 2015a); overexpression of BBX32 promoted hypocotyl growth (Holtan et al., 2011). In this study, MC inhibited the expression of two ANTs, one AIL6, six BBX19, two BBX24, and six BBX32 in cotton internode (Figure S6), suggesting these TFs were involved in MC-induced inhibition of internode elongation.

Lignin and Flavonoid Biosynthesis Was Inhibited by MC Treatment

Lignin is a kind of major structural component of the secondary cell wall; plants defective in lignin biosynthesis usually show severe growth retardation. The loss of function of CSE—catalyzing caffeoyl shikimate to caffeic acid—in Arabidopsis and Medicago truncatula results in reduced lignin levels and severe dwarfing (Vanholme et al., 2013; Ha et al., 2016). The transgenics of alfalfa and Arabidopsis with downregulated HCT, which catalyzes the conversion of p-coumaroyl-CoA to p-coumaroyl shikimate, are severely dwarf (Hoffmann et al., 2004; Shadle et al., 2007). LAC and PRX are oxidative enzymes that activate the monomers for combinatorial coupling into lignin in the cell wall (Meents et al., 2018). Triple lac4/lac17/lac11 mutants cause dwarf Arabidopsis plants with little lignin (Zhao et al., 2013). In our study, MC application significantly reduced expression of most of the lignin biosynthetic genes, including CSE, 4CL, HCT, CCR2, CAD, LAC, and PRX (Figure S5A), suggesting that lignin biosynthesis was inhibited by MC. The GA content was found to be positively correlated with lignin formation in plants (Biemelt et al., 2004). Björklund et al. (2007) reported that lignin biosynthesis genes induced by GA were also strongly induced by IAA in Populus. The decreased GA and auxin contents in MC-treated internodes may inhibit lignin biosynthesis, thereby causing the dwarf phenotype of cotton seedlings.

Flavonoids have been documented to affect plant growth and development mainly by negatively regulating auxin transport (Brown et al., 2001; Dare et al., 2013). Flavonoid metabolism has been reported to remain active in the early fiber cell elongation stage of cotton (Tan et al., 2013). The important roles of flavonoid in this process were mainly discovered in plants with the reduced expression of CHS (Brown et al., 2001; Dare et al., 2013). Arabidopsis CHS mutants (tt4) and CHS-silenced apple plants showed reduced plant height and increased rates of auxin transport (Brown et al., 2001; Dare et al., 2013). Our RNA-Seq data showed that the expression of two CHSs was significantly reduced (even by more than 2-fold) 48 and 72 h after MC treatment (Figure S5B). In addition, other flavonoid genes such as LDOX, FLS, and F3H were significantly downregulated in response to MC (Figure S5B). Therefore, flavonoid metabolism may be involved in the internode elongation of cotton and can be inhibited by MC treatment.

In summary, we conducted the histological, transcriptomic, and phytohormone analyses to better understand the mechanisms by which MC inhibits cotton internode elongation. We found that MC reduced internode length by inhibiting not only cell elongation but also cell division. MC altered the biosynthesis and signaling transduction of not only GA but also other plant hormones including auxin, BR, CK, ethylene, and ABA. We further proved that MC affected other plant hormones in a GA-dependent manner. In addition to hormones, many growth TFs, secondary metabolism associated genes were also remarkably altered by MC. This study was performed mainly at the transcription level, further studies, for example, at the protein level, need be conducted to identify the functions of the identified genes.

Data Availability Statement

The sequencing data are deposited in NCBI Sequence Read Archive (SRA, http://www.ncbi.nlm.nih.gov/Traces/sra) with accession number PRJNA555146.

Author Contributions

Y-FL and LW conceived the idea and supervised the research. LW, YY, and L-FW grew cotton seedlings and performed MC treatment, samples collection and RNA extractions. YY and L-FW performed histological analysis. LW, YY, L-FW MW, MZ, and YT performed DEG data analysis. YY and L-FW performed qRT-PCR analyses. LW and Y-FL wrote the manuscript. All authors read and approved the final manuscript.

Funding

This work was supported by the National Natural Science Foundation of China (Grant no. 31601241 and 31771703), and the Research Fund of the major program of Science and Technology in Henan Provincial Committee of Education (Grant no. 17A180007). The funding organizations provided the financial support to the research projects, but didn't involve in study design, data collection, analysis, and manuscript writing.

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.

Acknowledgments

We thank Junqiang Guo (Faculty of Information Engineering and Automation, Kunming University of Science and Technology) for excellent technical assistance.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpls.2019.01751/full#supplementary-material

References

Adams, S., Grundy, J., Veflingstad, S.R., Dyer, N. P., Hannah, M. A., Ott, S. (2018). Circadian control of abscisic acid biosynthesis and signalling pathways revealed by genome-wide analysis of LHY binding targets. New Phytol. 220, 893–907. doi: 10.1111/nph.15415

PubMed Abstract | CrossRef Full Text | Google Scholar

Adamski, N. M., Anastasiou, E., Eriksson, S., O'neill, C. M., Lenhard, M. (2009). Local maternal control of seed size by KLUH/CYP78A5-dependent growth signaling. Proc. Natl. Acad. Sci. U.S.A. 106, 20115–20120. doi: 10.1073/pnas.0907024106

PubMed Abstract | CrossRef Full Text | Google Scholar

Anders, S., Huber, W. (2010). Differential expression analysis for sequence count data. Genome Biol. 11, R106. doi: 10.1186/gb-2010-11-10-r106

PubMed Abstract | CrossRef Full Text | Google Scholar

Atkinson, R. G., Johnston, S. L., Yauk, Y. K., Sharma, N. N., Schröder, R. (2009). Analysis of xyloglucan endotransglucosylase/hydrolase (XTH) gene families in kiwifruit and apple. Postharvest Biol. Technol. 51, 149–157. doi: 10.1016/j.postharvbio.2008.06.014

CrossRef Full Text | Google Scholar

Baek, G. H., Kim, I., Rao, H. (2011). The Cdc48 ATPase modulates the interaction between two proteolytic factors Ufd2 and Rad23. Proc. Natl. Acad. Sci. U.S.A. 108, 13558–13563. doi: 10.1073/pnas.1104051108

PubMed Abstract | CrossRef Full Text | Google Scholar

Biemelt, S., Tschiersch, H., Sonnewald, U. (2004). Impact of altered gibberellin metabolism on biomass accumulation, lignin biosynthesis, and photosynthesis in transgenic tobacco plants. Plant Physiol. 135, 254–265. doi: 10.1104/pp.103.036988

PubMed Abstract | CrossRef Full Text | Google Scholar

Björklund, S., Antti, H., Uddestrand, I., Moritz, T., Sundberg, B. (2007). Cross-talk between gibberellin and auxin in development of Populus wood: gibberellin stimulates polar auxin transport and has a common transcriptome with auxin. Plant J. 52, 499–511. doi: 10.1111/j.1365-313X.2007.03250.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Brown, D. E., Rashotte, A. M., Murphy, A. S., Normanly, J., Tague, B. W., Peer, W. A., et al. (2001). Flavonoids act as negative regulators of auxin transport in vivo in Arabidopsis. Plant Physiol. 126, 524–535. doi: 10.2307/4279917

PubMed Abstract | CrossRef Full Text | Google Scholar

Challa, K. R., Aggarwal, P., Nath, U. (2016). Activation of YUCCA5 by the transcription factor TCP4 integrates developmental and environmental signals to promote hypocotyl elongation in Arabidopsis. Plant Cell 28, 2117–2130. doi: 10.1105/tpc.16.00360

PubMed Abstract | CrossRef Full Text | Google Scholar

Chaumont, F., Tyerman, S. D. (2014). Aquaporins: highly regulated channels controlling plant water relations. Plant Physiol. 164, 1600–1618. doi: 10.1104/pp.113.233791

PubMed Abstract | CrossRef Full Text | Google Scholar

Coll-Garcia, D., Mazuch, J., Altmann, T., Müssig, C. (2004). EXORDIUM regulates brassinosteroid-responsive genes. FEBS. Lett. 563, 82–86. doi: 10.1016/S0014-5793(04)00255-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Crocco, C. D., Locascio, A., Escudero, C. M., Alabadí, D., Blázquez, M. A., Botto, J. F. (2015). The transcriptional regulator BBX24 impairs DELLA activity to promote shade avoidance in Arabidopsis thaliana. Nat. Commun. 6, 6202. doi: 10.1038/ncomms7202

PubMed Abstract | CrossRef Full Text | Google Scholar

Dare, A. P., Tomes, S., Jones, M., Mcghie, T. K., Stevenson, D. E., Johnson, R. A., et al. (2013). Phenotypic changes associated with RNA interference silencing of chalcone synthase in apple (Malus × domestica). Plant J. 74, 398–410. doi: 10.1111/tpj.12140

PubMed Abstract | CrossRef Full Text | Google Scholar

Davière, J. M., Achard, P. (2016). A pivotal role of DELLAs in regulating multiple hormone signals. Mol. Plant 9, 10–20. doi: 10.1016/j.molp.2015.09.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Davière, J. M., Wild, M., Regnault, T., Baumberger, N., Eisler, H., Genschik, P., et al. (2014). Class I TCP-DELLA interactions in inflorescence shoot apex determine plant height. Curr. Biol. 24, 1923–1928. doi: 10.1016/j.cub.2014.07.012

PubMed Abstract | CrossRef Full Text | Google Scholar

Di, T., Zhao, L., Chen, H., Qian, W., Wang, P., Zhang, X., et al. (2019). Transcriptomic and metabolic insights into the distinctive effects of exogenous melatonin and gibberellin on terpenoid synthesis and plant hormone signal transduction pathway in Camellia sinensis. J. Agric. Food Chem. 67, 4689–4699. doi: 10.1021/acs.jafc.9b00503

PubMed Abstract | CrossRef Full Text | Google Scholar

Ding, L., Uehlein, N., Kaldenhoff, R., Guo, S., Zhu, Y., Kai, L. (2019). Aquaporin PIP2;1 affects water transport and root growth in rice (Oryza sativa L.). Plant Physiol. Biochem. 139, 152–160. doi: 10.1016/j.plaphy.2019.03.017

PubMed Abstract | CrossRef Full Text | Google Scholar

Fang, W., Wang, Z., Cui, R., Li, J., Li, Y. (2012). Maternal control of seed size by EOD3/CYP78A6 in Arabidopsis thaliana. Plant J. 70, 929–939. doi: 10.1111/j.1365-313X.2012.04907.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Friedrichsen, D. M., Nemhauser, J., Muramitsu, T., Maloof, J. N., Alonso, J., Ecker, J. R., et al. (2002). Three redundant brassinosteroid early response genes encode putative bHLH transcription factors required for normal growth. Genetics 162, 1445–1456. doi: 10.1023/A:1021280325474

PubMed Abstract | CrossRef Full Text | Google Scholar

Fukazawa, J., Mori, M., Watanabe, S., Miyamoto, C., Ito, T., Takahashi, Y. (2017). DELLA-GAF1 complex is a main component in gibberellin feedback regulation of GA20 oxidase 2. Plant Physiol. 175, 1395–1406. doi: 10.1104/pp.17.00282

PubMed Abstract | CrossRef Full Text | Google Scholar

Greenboim-Wainberg, Y., Maymon, I., Borochov, R., Alvarez, J., Olszewski, N., Ori, N., et al. (2005). Cross talk between gibberellin and cytokinin: the Arabidopsis GA response inhibitor SPINDLY plays a positive role in cytokinin signaling. Plant Cell 17, 92–102. doi: 10.1105/tpc.104.028472

PubMed Abstract | CrossRef Full Text | Google Scholar

Grossmann, K., König-Kranz, S., Kwiatkowski, J. (1994). Phytohormonal changes in intact shoots of wheat and oilseed rape treated with the acylcyclohexanedione growth retardant prohexadione calcium. Physiol. Plant 90, 139–143. doi: 10.1111/j.1399-3054.1994.tb02203.x

CrossRef Full Text | Google Scholar

Guo, M., Rupe, M. A., Dieter, J. A., Zou, J., Spielbauer, D., Duncan, K. E., et al. (2010). Cell number regulator1 affects plant and organ size in maize: implications for crop yield enhancement and heterosis. Plant Cell 22, 1057–1073. doi: 10.1105/tpc.109.073676

PubMed Abstract | CrossRef Full Text | Google Scholar

Ha, C. M., Escamilla-Trevino, L., Yarce, J. C., Kim, H., Ralph, J., Chen, F., et al. (2016). An essential role of caffeoyl shikimate esterase in monolignol biosynthesis in Medicago truncatula. Plant J. 86, 363–375. doi: 10.1111/tpj.13177

PubMed Abstract | CrossRef Full Text | Google Scholar

Hirayama, T., Shinozaki, K. (2007). Perception and transduction of abscisic acid signals: keys to the function of the versatile plant hormone ABA. Trends Plant Sci. 12, 343– 351. doi: 10.1016/j.tplants.2007.06.013

PubMed Abstract | CrossRef Full Text | Google Scholar

Hoffmann, L., Besseau, S., Geoffroy, P., Ritzenthaler, C., Meyer, D., Lapierre, C., et al. (2004). Silencing of hydroxycinnamoyl-coenzyme a shikimate/quinate hydroxycinnamoyltransferase affects phenylpropanoid biosynthesis. Plant Cell 16, 1446–1465. doi: 10.1105/tpc.020297

PubMed Abstract | CrossRef Full Text | Google Scholar

Holtan, H. E., Bandong, S., Marion, C. M., Adam, L., Tiwari, S., Shen, Y., et al. (2011). BBX32, an Arabidopsis B-Box protein, functions in light signaling by suppressing hy5-regulated gene expression and interacting with STH2/BBX21. Plant Physiol. 156, 2109–2123. doi: 10.1104/pp.111.177139

PubMed Abstract | CrossRef Full Text | Google Scholar

Jeong, H. Y., Nguyen, H. P., Lee, C. (2015). Genome-wide identification and expression analysis of rice pectin methylesterases: Implication of functional roles of pectin modification in rice physiology. J. Plant Physiol. 183, 23–29. doi: 10.1016/j.jplph.2015.05.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Jiang, C., Zhou, H., Wang, J., Wei, K., Zhao, Y., Tang, F., et al. (2018). Growth-regulating factor 15 is required for leaf size control in Populus. Tree Physiol. 39, 381–390. doi: 10.1093/treephys/tpy107

CrossRef Full Text | Google Scholar

Kieber, J. J., Schaller, G. E. (2018). Cytokinin signaling in plant development. Development 145, dev149344. doi: 10.1242/dev.149344

PubMed Abstract | CrossRef Full Text | Google Scholar

Kieffer, M., Master, V., Waites, R., Davies, B. (2011). TCP14 and TCP15 affect internode length and leaf shape in Arabidopsis. Plant J. 68, 147–158. doi: 10.1111/j.1365-313x.2011.04674.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Kim, J. H., Tsukaya, H. (2015). Regulation of plant growth and development by the growth-regulating factor and grf-interacting factor duo. J. Exp. Bot. 66, 6093–6107. doi: 10.1093/jxb/erv349

PubMed Abstract | CrossRef Full Text | Google Scholar

Kim, J. H., Choi, D., Kende, H. (2003). The AtGRF family of putative transcription factors is involved in leaf and cotyledon growth in Arabidopsis. Plant J. 36, 94–104. doi: 10.1046/j.1365-313X.2003.01862.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Kim, D., Langmead, B., Salzberg, S. L. (2015). HISAT: a fast spliced aligner with low memory requirements. Nat. Methods 12, 357. doi: 10.1038/nmeth.3317

PubMed Abstract | CrossRef Full Text | Google Scholar

Kraus, T. E., Murr, D. P., Hofstra, G., Fletcher, R. A. (1992). Modulation of ethylene synthesis in acotyledonous soybean and wheat seedlings. J. Plant Growth Regul. 11, 47. doi: 10.1007/bf00193843

CrossRef Full Text | Google Scholar

Krizek, B. A., Bequette, C. J., Xu, K., Blakley, I. C., Fu, Z. Q., Stratmann, J. W., et al. (2016). RNA-Seq links the transcription factors aintegumenta and aintegumenta-like6 to cell wall remodeling and plant defense pathways. Plant Physiol. 171, 2069–2084. doi: 10.1104/pp.15.01625

PubMed Abstract | CrossRef Full Text | Google Scholar

Kuijt, S. J., Greco, R., Agalou, A., Shao, J., Hoen, C. C., Overnäs, E., et al. (2014). Interaction between the growth-regulating factor and knotted1-like homeobox families of transcription factors. Plant Physiol. 164, 1952–1966. doi: 10.1104/pp.113.222836

PubMed Abstract | CrossRef Full Text | Google Scholar

Lee, S., Lee, S., Yang, K. Y., Kim, Y. M., Park, S. Y., Kim, S. Y., et al. (2006). Overexpression of PRE1 and its homologous genes activates gibberellin-dependent responses in Arabidopsis thaliana. Plant Cell Physiol. 47, 591–600. doi: 10.1093/pcp/pcj026

PubMed Abstract | CrossRef Full Text | Google Scholar

Leplé, J. C., Dauwe, R., Morreel, K., Storme, V., Lapierre, C., Pollet, B., et al. (2007). Downregulation of cinnamoyl-coenzyme a reductase in poplar: multiple-level phenotyping reveals effects on cell wall polymer metabolism and structure. Plant Cell 19, 3669–3691. doi: 10.1105/tpc.107.054148

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, C., Potuschak, T., Colón-Carmona, A., Gutiérrez, R. A., Doerner, P. (2005). Arabidopsis TCP20 links regulation of growth and cell division control pathways. Proc. Natl. Acad. Sci. U.S.A. 102, 12978–12983. doi: 10.1073/pnas.0504039102

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, G., Santoni, Véronique, Maurel, C. (2014). Plant aquaporins: roles in plant physiology. Biochim. Biophys. Acta Gen. Subj. 1840, 1574–1582. doi: 10.1016/j.bbagen.2013.11.004

CrossRef Full Text | Google Scholar

Li, S., Tian, Y., Wu, K., Ye, Y., Yu, J., Zhang, J., et al. (2018). Modulating plant growth–metabolism coordination for sustainable agriculture. Nature 560, 595–600. doi: 10.1038/s41586-018-0415-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, Q. Y., Guo, G. S., Qiu, Z. F., Li, X. D., Zeng, B. S., Fan, C. J. (2018). Exogenous GA3 application altered morphology, anatomic and transcriptional regulatory networks of hormones in Eucalyptus grandis. Protoplasma 255, 1107–1119. doi: 10.1007/s00709-018-1218-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, Y., Fang, Y., Huang, M., Jin, Y., Sun, J., Tao, X., et al. (2015). Uniconazole-induced starch accumulation in the bioenergy crop duckweed (Landoltia punctata) II: transcriptome alterations of pathways involved in carbohydrate metabolism and endogenous hormone crosstalk. Biotechnol. Biofuels 8, 64. doi: 10.1186/s13068-015-0245-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Ma, M., Liu, X., Li, Z., Zhao, H., Hu, S., Song, W. (2015a). TaCYP78A5 regulates seed size in wheat (Triticum aestivum). J. Exp. Bot. 67, 1397–1410. doi: 10.1093/jxb/erv542

PubMed Abstract | CrossRef Full Text | Google Scholar

Ma, M., Wang, Q., Li, Z., Cheng, H., Li, Z., Liu, X., et al. (2015b). Expression of TaCYP78A3, a gene encoding cytochrome P450 CYP78A3 protein in wheat (Triticum aestivum L.), affects seed size. Plant J. 83, 312–325. doi: 10.1111/tpj.12896

PubMed Abstract | CrossRef Full Text | Google Scholar

Marowa, P., Ding, A., Kong, Y. (2016). Expansins: roles in plant growth and potential applications in crop improvement. Plant Cell Rep. 35, 949–965. doi: 10.1007/s00299-016-1948-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Martín-Trillo, M., Cubas, P. (2010). TCP genes: a family snapshot ten years later. Trends Plant Sci. 15, 31–39. doi: 10.1016/j.tplants.2009.11.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Meents, M. J., Watanabe, Y., Samuels, A. L. (2018). The cell biology of secondary cell wall biosynthesis. Ann. Bot. 121, 1107–1125. doi: 10.1093/aob/mcy005

PubMed Abstract | CrossRef Full Text | Google Scholar

Min, X. J., Bartholomew, D. P. (1996). Effect of plant growth regulators on ethylene production, 1-aminocyclopropane-1-carboxylic acid oxidase activity, and initiation of inflorescence development of pineapple. J. Plant Growth Regul. 15, 121. doi: 10.1007/bf00198926

CrossRef Full Text | Google Scholar

Minami, A., Yano, K., Gamuyao, R., Nagai, K., Kuroha, T., Ayano, M., et al. (2018). Time-course transcriptomics analysis reveals key responses of submerged deepwater rice to flooding. Plant Physiol. 176, 3081–3102. doi: 10.1104/pp.17.00858

PubMed Abstract | CrossRef Full Text | Google Scholar

Mizukami, Y., Fischer, R. L. (2000). Plant organ size control: Aintegumenta regulates growth and cell numbers during organogenesis. Proc. Natl. Acad. Sci. U.S.A. 97, 942–947. doi: 10.1073/pnas.97.2.942

PubMed Abstract | CrossRef Full Text | Google Scholar

Muro-Villanueva, F., Mao, X., Chapple, C. (2019). Linking phenylpropanoid metabolism, lignin deposition, and plant growth inhibition. Curr. Opin. Biotechnol. 56, 202–208. doi: 10.1016/j.copbio.2018.12.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Nelissen, H., Eeckhout, D., Demuynck, K., Persiau, G., Walton, A., Van Bel, M., et al. (2015). Dynamic changes in ANGUSTIFOLIA3 complex composition reveal a growth regulatory mechanism in the maize leaf. Plant Cell 27, 1605–1619. doi: 10.1105/tpc.15.00269

PubMed Abstract | CrossRef Full Text | Google Scholar

Ni, J., Shah, F. A., Liu, W., Wang, Q., Wang, D., Zhao, W., et al. (2018). Comparative transcriptome analysis reveals the regulatory networks of cytokinin in promoting the floral feminization in the oil plant Sapium sebiferum. BMC Plant Biol. 18, 96. doi: 10.1186/s12870-018-1314-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Noh, S. A., Choi, Y. I., Cho, J. S., Lee, H. (2015). The poplar basic helix-loop-helix transcription factor BEE3– Like gene affects biomass production by enhancing proliferation of xylem cells in poplar. Biochem. Biophys. Res. Commun. 462, 64–70. doi: 10.1016/j.bbrc.2015.04.109

PubMed Abstract | CrossRef Full Text | Google Scholar

Ohnishi, T., Szatmari, A. M., Watanabe, B., Fujita, S., Bancos, S., Koncz, C., et al. (2006). C-23 hydroxylation by Arabidopsis CYP90C1 and CYP90D1 reveals a novel shortcut in brassinosteroid biosynthesis. Plant Cell 18, 3275–3288. doi: 10.1105/tpc.106.045443

PubMed Abstract | CrossRef Full Text | Google Scholar

Omidbakhshfard, M. A., Proost, S., Fujikura, U., Mueller-Roeber, B. (2015). Growth-Regulating Factors (GRFs): a small transcription factor family with important functions in plant biology. Mol. Plant 8, 998–1010. doi: 10.1016/j.molp.2015.01.013

PubMed Abstract | CrossRef Full Text | Google Scholar

Pien, S., Wyrzykowska, J., Mcqueen-Mason, S., Smart, C., Fleming, A. (2001). Local expression of expansin induces the entire process of leaf development and modifies leaf shape. Proc. Natl. Acad. Sci. 98, 11812–11817. doi: 10.1073/pnas.191380498

CrossRef Full Text | Google Scholar

Pinçon, G., Maury, S., Hoffmann, L., Geoffroy, P., Lapierre, C., Pollet, B., et al. (2001). Repression of O-methyltransferase genes in transgenic tobacco affects lignin synthesis and plant growth. Phytochemistry 57, 1167–1176. doi: 10.1016/S0031-9422(01)00098-X

PubMed Abstract | CrossRef Full Text | Google Scholar

Pollak, P. E., Hansen, K., Astwood, J. D., Taylor, L. P. (1995). Conditional male fertility in maize. Sex Plant Reprod. 8, 231–241. doi: 10.1007/bf00228943

CrossRef Full Text | Google Scholar

Postel, S., Küfner, I., Beuter, C., Mazzotta, S., Schwedt, A., Borlotti, A., et al. (2010). The multifunctional leucine-rich repeat receptor kinase BAK1 is implicated in Arabidopsis development and immunity. Eur. J. Cell Biol. 89, 169–174. doi: 10.1016/j.ejcb.2009.11.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Preuss, S. B., Meister, R., Xu, Q., Urwin, C. P., Tripodi, F. A., Screen, S. E., et al. (2012). Expression of the Arabidopsis thaliana BBX32 gene in soybean increases grain yield. PloS One 7, e30717. doi: 10.1371/journal.pone.0030717

PubMed Abstract | CrossRef Full Text | Google Scholar

Rademacher, W. (2000). Growth retardants: Effects on gibberellin biosynthesis and other metabolic pathways. Annu. Rev. Plant Physiol. Plant Mol. Biol. 51, 501–531. doi: 10.1146/annurev.arplant.51.1.501

PubMed Abstract | CrossRef Full Text | Google Scholar

Reddy, V. R., Baker, D. N., Hodges, H. F. (1990). Temperature and mepiquat chloride effects on cotton canopy architecture. Agron. J. 82, 190–195. doi: 10.2134/agronj1990.00021962008200020004x

CrossRef Full Text | Google Scholar

Ren, X., Zhang, L., Du, M., Evers, J. B., Wopke, V. D. W., Tian, X., et al. (2013). Managing mepiquat chloride and plant density for optimal yield and quality of cotton. Field Crops Res. 149, 1–10. doi: 10.1016/j.fcr.2013.04.014

CrossRef Full Text | Google Scholar

Sablowski, R., Carnier-Dornelas, M. (2013). Interplay between cell growth and cell cycle in plants. J. Exp. Bot. 65, 2703–2714. doi: 10.1093/jxb/ert354

PubMed Abstract | CrossRef Full Text | Google Scholar

Schijlen, E. G. W. M., De Vos, C. H. R., Martens, S., Jonker, H. H., Rosin, F. M., Molthoff, J. W., et al. (2007). RNA interference silencing of chalcone synthase, the first step in the flavonoid biosynthesis pathway, leads to parthenocarpic tomato fruits. Plant Physiol. 144, 1520–1530. doi: 10.1104/pp.107.100305

PubMed Abstract | CrossRef Full Text | Google Scholar

Seesangboon, A., Gruneck, L., Pokawattana, T., Eungwanichayapant, P. D., Tovaranonte, J., Popluechai, S. (2018). Transcriptome analysis of Jatropha curcas L. flower buds responded to the paclobutrazol treatment. Plant Physiol. Biochem. 127, 276–286. doi: 10.1016/j.plaphy.2018.03.035

PubMed Abstract | CrossRef Full Text | Google Scholar

Shadle, G., Chen, F., Srinivasa-Reddy, M. S., Jackson, L., Nakashima, J., Dixon, R. A. (2007). Down-regulation of hydroxycinnamoyl CoA: Shikimate hydroxycinnamoyl transferase in transgenic alfalfa affects lignification, development and forage quality. Phytochemistry 68, 1521–1529. doi: 10.1016/j.phytochem.2007.03.022

PubMed Abstract | CrossRef Full Text | Google Scholar

Shechter, I., West, C. A. (1969). Biosynthesis of Gibberellins: IV. Biosynthesis of cyclic diterpenes from trans-geranylgeranyl pyrophosphate. J. Biol. Chem. 244, 3200–3209.

PubMed Abstract | Google Scholar

Shi, H., Kim, Y., Guo, Y., Stevenson, B., Zhu, J. K. (2003). The arabidopsis SOS5 locus encodes a putative cell surface adhesion protein and is required for normal cell expansion. Plant Cell 15, 19–32. doi: 10.1105/tpc.007872

PubMed Abstract | CrossRef Full Text | Google Scholar

Shi, Y. H., Zhu, S. W., Mao, X. Z., Feng, J. X., Qin, Y. M., Zhang, L., et al. (2006). Transcriptome profiling, molecular biological, and physiological studies reveal a major role for ethylene in cotton fiber cell elongation. Plant Cell 18, 651–664. doi: 10.1105/tpc.105.040303

PubMed Abstract | CrossRef Full Text | Google Scholar

Siebert, J. D., Stewart, A. M. (2006). Influence of plant density on cotton response to mepiquat chloride application. Agron. J. 98, 1634–1639. doi: 10.2134/agronj2006.0083

CrossRef Full Text | Google Scholar

Tan, J., Tu, L., Deng, F., Hu, H., Nie, Y., Zhang, X. (2013). A genetic and metabolic analysis revealed that cotton fiber cell development was retarded by flavonoid naringenin. Plant Physiol. 162, 86–95. doi: 10.1104/pp.112.212142

PubMed Abstract | CrossRef Full Text | Google Scholar

Tong, H., Chu, C. (2016). Reply: Brassinosteroid regulates gibberellin synthesis to promote cell elongation in rice: critical comments on ross and quittenden's letter. Plant Cell 28, 833–835. doi: 10.1105/tpc.16.00123

PubMed Abstract | CrossRef Full Text | Google Scholar

Unterholzner, S. J., Rozhon, W., Poppenberger, B. (2016). Reply: Interaction between brassinosteroids and gibberellins: synthesis or signaling? In Arabidopsis, Both! Plant Cell 28, 836–839. doi: 10.1105/tpc.16.0012

PubMed Abstract | CrossRef Full Text | Google Scholar

Upreti, K. K., Reddy, Y. T. N., Prasad, S. R. S., Bindu, G. V., Jayaram, H. L., Rajan, S. (2013). Hormonal changes in response to paclobutrazol induced early flowering in mango cv. Totapuri. Sci. Hortic. 150, 414–418. doi: 10.1016/j.scienta.2012.11.030

CrossRef Full Text | Google Scholar

Vanholme, R., Cesarino, I., Rataj, K., Xiao, Y., Sundin, L., Goeminne, G., et al. (2013). Caffeoyl Shikimate Esterase (CSE) is an enzyme in the lignin biosynthetic pathway in Arabidopsis. Science 341, 1103–1106. doi: 10.1126/science.1241602

PubMed Abstract | CrossRef Full Text | Google Scholar

Velde, K. D., Ruelens, P., Geuten, K., Rohde, A., Straeten, D. D. (2017). Exploiting DELLA signaling in cereals. Trends Plant Sci. 22, 880–893. doi: 10.1016/j.tplants.2017.07.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, B., Smith, S. M., Li, J. (2018). Genetic regulation of shoot architecture. Annu. Rev. Plant Biol. 69, 437–468. doi: 10.1146/annurev-arplant-042817-040422

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, C. Q., Sarmast, M. K., Jiang, J., Dehesh, K. (2015a). The transcriptional regulator BBX19 promotes hypocotyl growth by facilitating COP1-mediated early flowering3 degradation in Arabidopsis. Plant Cell 27, 1128–1139. doi: 10.1105/tpc.15.00044

PubMed Abstract | CrossRef Full Text | Google Scholar

Weiss, D., Ori, N. (2007). Mechanisms of cross talk between gibberellin and other hormones. Plant Physiol. 144, 1240–1246. doi: 10.1104/pp.107.100370

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, G. L., Que, F., Xu, Z. S., Wang, F., Xiong, A. S. (2015b). Exogenous gibberellin altered morphology, anatomic and transcriptional regulatory networks of hormones in carrot root and shoot. BMC Plant Biol. 15, 290. doi: 10.1186/s12870-015-0679-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, H. Q., Xiao, L. T. (2009). Effects of chlorocholine chloride on phytohormones and photosynthetic characteristics in potato (Solanum tuberosum L.). J. Plant Growth Regul. 28, 21–27. doi: 10.1007/s00344-008-9069-0

CrossRef Full Text | Google Scholar

Wang, L., Mu, C., Du, M., Chen, Y., Tian, X., Zhang, M., et al. (2014). The effect of mepiquat chloride on elongation of cotton (Gossypium hirsutum L.) internode is associated with low concentration of gibberellic acid. Plant Sci. 225, 15–23. doi: 10.1016/j.plantsci.2014.05.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Wolf, S. (2017). Plant cell wall signalling and receptor-like kinases. Biochem. J. 474, 471–492. doi: 10.1042/BCJ20160238

PubMed Abstract | CrossRef Full Text | Google Scholar

Xie, C., Mao, X., Huang, J., Ding, Y., Wu, J., Dong, S., et al. (2011). KOBAS 2.0: a web server for annotation and identification of enriched pathways and diseases. Nucleic Acids Res. 39, W316–W322. doi: 10.1093/nar/gkr483

PubMed Abstract | CrossRef Full Text | Google Scholar

Yang, Z., Zhang, C., Yang, X., Liu, K., Wu, Z., Zhang, X., et al. (2014). PAG1, a cotton brassinosteroid catabolism gene, modulates fiber elongation. New Phytol. 203, 437–448. doi: 10.1111/nph.12824

PubMed Abstract | CrossRef Full Text | Google Scholar

Yokota, T., Nakamura, Y., Takahashi, N., Nonaka, M., Sekimoto, H., Oshio, H., et al. (1991). Inconsistency between growth and endogenous levels of gibberellins, brassinosteroids, and sterols in pisum sativum treated with uniconazole antipodes. Gibberellins, 339–349. doi: 10.1007/978-1-4612-3002-1-33

CrossRef Full Text | Google Scholar

York, A. C. (1983). Cotton cultivar response to mepiquat chloride. Agron. J. 75, 663–667. doi: 10.2134/agronj1983.00021962007500040020x

CrossRef Full Text | Google Scholar

Young, M. D., Wakefield, M. J., Smyth, G. K., Oshlack, A. (2010). Gene ontology analysis for RNA-seq: accounting for selection bias. Genome Biol. 11, R14. doi: 10.1186/gb-2010-11-2-r14

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, D., Ren, L., Yue, J. H., Shi, Y. B., Zhuo, L. H., Wang, L., et al. (2015). RNA-Seq-based transcriptome analysis of stem development and dwarfing regulation in Agapanthus praecox ssp. orientalis (Leighton) Leighton. Gene, 565, 252–267. doi: 10.1016/j.gene.2015.04.013

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, S., Gottschalk, C., Van Nocker, S. (2019). Genetic mechanisms in the repression of flowering by gibberellins in apple (Malus x domestica Borkh.). BMC Genomics 20, 747. doi: 10.1186/s12864-019-6090-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhao, D., Oosterhuis, D. M. (2000). Pix plus and mepiquat chloride effects on physiology, growth, and yield of field-grown cotton. J. Plant Growth Regul. 19, 415–422. doi: 10.1007/s003440000018

CrossRef Full Text | Google Scholar

Zhao, Q., Nakashima, J., Chen, F., Yin, Y., Fu, C., Yun, J., et al. (2013). LACCASE is necessary and nonredundant with peroxidase for lignin polymerization during vascular development in Arabidopsis. Plant Cell 25, 3976–3987. doi: 10.1105/tpc.113.117770

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhiponova, M. K., Morohashi, K., Vanhoutte, I., Machemer-Noonan, K., Revalska, M., Van Montagu, M., et al. (2014). Helix–loop–helix/basic helix–loop–helix transcription factor network represses cell elongation in Arabidopsis through an apparent incoherent feed-forward loop. Proc. Natl. Acad. Sci. U.S.A. 111, 2824–2829. doi: 10.1073/pnas.1400203111

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: mepiquat chloride, cotton seedlings, internode, phytohormone, secondary metabolism, transcription factors, cell division, cell expansion

Citation: Wang L, Yin Y, Wang L-F, Wang M, Zhao M, Tian Y and Li Y-F (2020) Transcriptome Profiling of the Elongating Internode of Cotton (Gossypium hirsutum L.) Seedlings in Response to Mepiquat Chloride. Front. Plant Sci. 10:1751. doi: 10.3389/fpls.2019.01751

Received: 11 September 2019; Accepted: 13 December 2019;
Published: 28 January 2020.

Edited by:

Javier Brumos, North Carolina State University, United States

Reviewed by:

Keisuke Nagai, Nagoya University, Japan
Gregory Thyssen, Southern Regional Research Center (USDA-ARS), United States
Takeshi Kuroha, National Agriculture and Food Research Organization, Japan

Copyright © 2020 Wang, Yin, Wang, Wang, Zhao, Tian and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Yong-Fang Li, li_yongfang@hotmail.com; Li Wang, wangli1015@htu.cn

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