Abstract
Background
The auxin indole-3-acetic acid (IAA) is a vital phytohormone that influences plant growth and development. Our previous work showed that IAA content decreased during flower development in the medicinally important orchid Dendrobium officinale, while Aux/IAA genes were downregulated. However, little information about auxin-responsive genes and their roles in D. officinale flower development exists.
Results
This study validated 14 DoIAA and 26 DoARF early auxin-responsive genes in the D. officinale genome. A phylogenetic analysis classified the DoIAA genes into two subgroups. An analysis of cis-regulatory elements indicated that they were related by phytohormones and abiotic stresses. Gene expression profiles were tissue-specific. Most DoIAA genes (except for DoIAA7) were sensitive to IAA (10 μmol/L) and were downregulated during flower development. Four DoIAA proteins (DoIAA1, DoIAA6, DoIAA10 and DoIAA13) were mainly localized in the nucleus. A yeast two-hybrid assay showed that these four DoIAA proteins interacted with three DoARF proteins (DoARF2, DoARF17, DoARF23).
Conclusions
The structure and molecular functions of early auxin-responsive genes in D. officinale were investigated. The DoIAA-DoARF interaction may play an important role in flower development via the auxin signaling pathway.
Supplementary Information
The online version contains supplementary material available at 10.1186/s12864-023-09263-y.
Keywords: Dendrobium officinale, Aux/IAA genes, ARF genes, Cis-regulatory element, Flower development
Background
Plants produce a variety of primary metabolites that are required for growth and development in the vegetative stage [1]. The growth, productivity and quality of plants are negatively impacted when they are exposed to biotic and abiotic stresses [2]. In medicinal and aromatic plants (MAPs), secondary metabolites (SMs) accumulate in response to these stresses [3]. SMs in MAPs, including polysaccharides, flavonoids, alkaloids, and terpenoids, provide plants with a protective layer, allowing them to survive such stresses, but they also provide multiple benefits to human health via their biological activities, and are thus widely employed in the food, pharmaceutical, and cosmetic industries [4, 5].
SMs are particularly prevalent in Dendrobium, a medicinal and ornamental orchid genus [6], and are thus widely used in traditional Chinese medicine [7]. There is a balance between plant yield and SMs in many MAPs such that, under stressful conditions, the growth of MAPs decreases while the production of SMs increases [4]. Previous research focused on the growth, yield and medicinal aspects of MAPs [8]. Despite their important medicinal value, the yield of MAPs, as assessed by plant height, leaf number, stem diameter, fresh weight, and other growth-related parameters, increased at the vegetative stage, and was directed by a range of plant growth regulators (PGRs), including phytohormones [4, 9].
Indole-3-acetic acid (IAA) is an auxin (Aux) that influences cellular and sub-cellular processes, including those related to growth (e.g., cell division, extension and differentiation) and development (e.g., shoot elongation, flower development, and fruit ripening) [10]. Auxins are widely used in plant tissue culture to induce root formation [11]. The auxin-early response gene family, consisting mainly of Aux/IAA, auxin response factor (ARF), small auxin upregulated RNA (SAUR) and auxin-responsive gretchen hagen3 (GH3) gene families, are involved in the auxin signaling pathway [10]. IAA usually binds to the C-terminal protein–protein interaction domain (CTD) of ARF proteins and activates or represses the function of ARF proteins when plants are exposed to a high or low concentrations of auxin [12]. The B3-type DNA-binding domain (DBD) of ARF proteins binds to the auxin response elements (AuxREs) of auxin-responsive genes and regulates downstream auxin-regulated genes [13].
Auxins modulate cell proliferation and cell expansion in normal organs, and play a critical role in flower development [14]. Auxin induced the constitutive opening of Nymphaeales flowers and was involved in floral movement [15]. SlMBP21, a MADS-box gene involved in the ethylene and auxin pathways, negatively controlled the size of Solanum lycopersicum sepals [14]. In Rosa hybrida, down-regulation of RhIAA14 by virus-induced gene silencing reduced cell expansion, leading to reduced petal expansion and thus smaller petals [16]. Moreover, the silencing of RhIAA16 promoted petal abscission [17].
Dendrobium officinale (known as tie-pi-shi-hu (铁皮石斛, Tiě Pí Shí Hú) in Chinese) is an important ornamental and medicinal plant of the Orchidaceae. It is listed as a top-grade non-toxic herb in China, and has been widely used in traditional Chinese medicine for thousands of years [18]. Its main medicinal ingredients include water-soluble polysaccharides, flavonoids, alkaloids, and bibenzyls [6]. D. officinale is widely cultivated in China and in other Asian countries, and had a market value that exceeded 10 billion RMB (about US$ 1.43 billion) a few years ago [19]. A previous study indicated that IAA content decreased during flower development, between flower bud and fully-opened flowering stages [20]. Despite its cultural and biological importance, few studies have assessed details about the impact of auxin, in specific IAA, and the auxin signaling pathway, on the growth and development of D. officinale, especially flower development.
This study aimed to identify the D. officinale early auxin-responsive genes in the auxin signaling pathway, as well as Aux/IAA and ARF gene family members. This information about the DoIAA and DoARF genes in D. officinale will allow plant scientists to better understand the auxin-mediated signaling pathway in flower development, and deepen their understanding of the regulation of orchid plant growth and flowering time.
Results
Identification and characterization of Aux/IAA and ARF genes in D. officinale
A total of 14 Aux/IAA genes (DoIAA1-14), were identified in the D. officinale genome. The main characteristics of these genes, including their number of amino acids (AA), opening reading frame (ORF) length, protein length, molecular weight (MW), isoelectric point (pI) and prediction of subcellular localization, are listed in Table 1. The length of the ORFs of the 14 DoIAA genes ranged from 375 bp (DoIAA14) to 918 bp (DoIAA8) and the AA length of their respective proteins ranged from 124 to 305 aa. The predicted pI ranged from 5.13 (DoIAA13) to 9.36 (DoIAA2) and MW varied from 14.21 kDa (DoIAA14) to 33.01 kDa (DoIAA8). The latter was consistent with ORF length. The results of the prediction of subcellular localization indicated that most of the putative DoIAAs (9 out of 14) were nucleus-targeted proteins, although a few were localized to the chloroplast, cytoplasm and Golgi bodies. A total of 26 potential ARF genes were identified in the D. officinale genome, and these were named as DoARF1-26. Detailed information about the 26 DoARF genes, including the parameters described above, can be found in Table S1.
Table 1.
Gene ID | Locus | ORF (bp) | AA (aa) | pI | Mw (KDa) | Localization |
---|---|---|---|---|---|---|
DoIAA1 | Dca002725 | 804 | 267 | 5.19 | 28.48 | Nucleus |
DoIAA2 | Dca004451 | 495 | 164 | 9.36 | 18.99 | Chloroplast |
DoIAA3 | Dca005951 | 531 | 176 | 5.68 | 19.34 | Chloroplast |
DoIAA4 | Dca006511 | 843 | 280 | 5.25 | 31.07 | Nucleus |
DoIAA5 | Dca006971 | 891 | 296 | 7.78 | 32.17 | Nucleus |
DoIAA6 | Dca007271 | 903 | 300 | 5.25 | 32.25 | Chloroplast |
DoIAA7 | Dca008472 | 876 | 291 | 8.70 | 30.95 | Nucleus |
DoIAA8 | Dca010891 | 918 | 305 | 6.15 | 33.01 | Golgi |
DoIAA9 | Dca011244 | 819 | 272 | 8.96 | 29.76 | Nucleus |
DoIAA10 | Dca014796 | 861 | 286 | 8.16 | 30.81 | Nucleus |
DoIAA11 | Dca019706 | 537 | 178 | 6.97 | 20.01 | Cytoplasm |
DoIAA12 | Dca024309 | 453 | 150 | 5.14 | 16.74 | Nucleus |
DoIAA13 | Dca026718 | 459 | 152 | 5.13 | 17.30 | Nucleus |
DoIAA14 | Dca027623 | 375 | 124 | 8.69 | 14.21 | Nucleus |
Phylogenetic classification, and conserved domain analysis
The 14 DoIAA proteins were divided into two main groups, a and b (Fig. 1A). Group a was further divided into two subgroups containing five and three members. Group b was also divided into two smaller subgroups, each including three members.
To investigate the phylogenetic relationship among the Aux/IAA proteins, a total of 74 proteins from three plant species, including 14 DoIAA proteins from D. officinale, 29 AtIAA proteins from A. thaliana and 31 OsIAA proteins from O. sativa, were compared, and their AA sequences were used to build a phylogenetic tree (Fig. 1B). The 74 proteins were divided into nine groups, a-i. Two larger groups, g and i, each contained 12 proteins from the three species. The two smaller groups, c and f, included three A. thaliana and O. sativa proteins, but none from D. officinale.
Multiple sequence alignment revealed that all of the D. officinale Aux/IAA proteins displayed over 35% homology, and all harbored four highly conserved domains, which were named I, II, III, and IV (Fig. 2). All of the Aux/IAA proteins carried domains III and IV, but several lacked domains I and/or II. Domain I was absent in DoIAA2, 11, 12, 13 and 14, while domain II was absent in DoIAA5, 9, 12, 13 and 14. Most of the Aux/IAA proteins contained two nuclear localization signals (NLSs), a bipartite NLS and a typical NLS, which were located in domains II and IV, suggesting that these Aux/IAA proteins may be localized in the nucleus (Fig. 2).
Cis-elements analysis of the promoter region
Various types of cis-regulatory elements (CREs) related to plant growth and development, and responses to light, phytohormones, stresses and other signals, exist in the promoter regions of DoIAA genes. More detailed information about the CREs related to stress and phytohormone responses is available in Figure S1. Five hormone-responsive elements, including to methyl jasmonate (MeJA), abscisic acid (ABA), gibberellin acid (GA), auxin, and salicylic acid (SA), were discovered. Stress-responsive elements, including to anaerobic induction, low temperature and drought, were also detected. These data imply that DoIAA genes participate in hormone signaling and stress responses in D. officinale.
Expression patterns of Aux/IAA and ARF genes
To understand the level of organ-specific expression of the Aux/IAA genes, the RNA-seq data of eight tissues of D. officinale were analyzed (Fig. 3). The 14 Aux/IAA genes displayed an organ-specific expression profile. Five Aux/IAA genes (DoIAA1, 3, 7, 8, 10) exhibited relatively higher mRNA levels than other DoIAA genes in all eight organs. Three Aux/IAA genes (DoIAA1, 7, 10) displayed a higher expression in the white/green part of roots, indicating their role in root development, while four other Aux/IAA genes (DoIAA4, 5, 6, 8) were highly expressed in flowers, including the lip, column, sepals and flower buds, suggesting their role in flower development (Fig. 3).
The potential roles of the 14 Aux/IAA genes at three stages of D. officinale flower development (S1, S2, S3) were assessed using RNA-seq data. Endogenous IAA content showed a decreasing trend from S1 to S3 [20], with most of the 14 Aux/IAA genes (DoIAA1, 2, 6, 7, 9, 10, 13, 14) exhibiting a decreasing trend and a positive correlation (r > 0.7, p < 0.05) with IAA content, suggesting their important roles in IAA metabolism. Two Aux/IAA genes (DoIAA5, 12) displayed an increasing trend from S1 to S3, and were negatively correlated (r < -0.5, p < 0.05) with IAA content. Four other Aux/IAA genes (DoIAA3, 4, 8, 11) exhibited unchanged or alternative trends (decreasing from S1 to S2, increasing from S2 to S3, peaking at S2) with IAA content (-0.5 < r < 0.7) (Fig. 4).
The relative expression levels of DoARF genes were assessed at S1-S3. Unlike the Aux/IAA genes, the 26 DoARF genes exhibited different expression patterns. Eight genes (DoARF3, 4, 5, 6, 9, 11, 19, 20) showed an increasing trend from S1-S3, and were negatively correlated (r < -0.5, p < 0.05) with IAA content. In contrast, nine genes (DoARF1, 2, 10, 16, 17, 18, 21, 22, 23) displayed a decreasing trend from S1-S3 and exhibited a positive correlation (r > 0.7, p < 0.05) with IAA content. Another nine genes (DoARF7, 8, 12, 13, 14, 15, 24, 25, 26) exhibited an unchanged or alternative trend (increasing from S1 to S2, decreasing from S2 to S3, peaking at S2) with IAA content (-0.5 < r < 0.7) (Fig. S2).
To further understand the possible roles of Aux/IAA genes in the IAA signaling pathway, 10-month-old tissue-cultured seedlings were exposed to exogenous IAA. In the IAA treatment, nearly all of the 14 Aux/IAA genes (except for DoIAA7) were down-regulated in leaves. Among them, four Aux/IAA genes (DoIAA3, 4, 9, 12) displayed two-fold lower expression than the control (0 h) (Fig. 5). It is possible that exogenous IAA may inhibit the biosynthesis of endogenous IAA. Consequently, in such a case, the genes that participate in the metabolism of endogenous IAA would exhibit a decreasing trend.
Localization of four Aux/IAA proteins
To verify their predicted localization, four DoIAA genes (DoIAA1, 6, 10 and 13), which showed a positive correlation (r > 0.7, p < 0.05) with IAA content at the three stages of flower development, were selected to analyze subcellular localization. Yellow fluorescent signals of protoplasts transformed with DoIAA1-YFP were mainly localized in the nucleus and cytosol, while the three remaining fusion vectors were co-localized with NLS-mCherry and were primarily localized in the nucleus (Fig. 6). These results indicate that these four DoIAAs were localized in the nucleus but may have a protein–protein interaction with other proteins, such as DoARFs.
Interaction analysis of DoIAA and DoARF proteins
To investigate the protein–protein interaction network of Aux/IAA and ARF proteins in the IAA signaling pathway of D. officinale, a yeast two-hybrid (Y2H) assay was conducted. Three ARF genes (DoARF2, 17, 23) and four Aux/IAA genes (DoIAA1, 6, 10, 13), which displayed a positive correlation (r > 0.7, p < 0.05) with IAA content at three stages of flower development, were selected for a protein–protein interaction analysis. The negative control, containing pGADT7 (AD)-empty plus pGBKT7 (BD)-DoIAA1, BD-DoIAA6, BD-DoIAA10, BD-DoIAA13, grew well on double selection medium (SD/-Leu/-Trp) but did not survive on quadruple selection medium (SD/-Leu/-Trp/-His/-Ade). Transformed yeast cells containing AD-DoARF2 plus BD-DoIAA13, AD-DoARF17 plus BD-DoIAA10 and BD-DoIAA13, and AD-DoARF23 plus BD-DoIAA1 and BD-DoIAA6, grew well on double and quadruple selection medium, and subsequently produced blue colonies on medium supplemented with X-α-gal. Other recombinant bait carriers grew well on double selection medium but could not grow on quadruple selection medium, consistent with the results of the negative control (Fig. 7). The results of the Y2H assay indicate that DoARF2/17 directly interacted with DoIAA10/13.
Discussion
To meet the market demand for human needs, wild D. officinale resources have been over-exploited and currently face extinction [21]. Plant tissue culture is able to alleviate this pressure on natural populations, allowing the artificial mass propagation of this plant [22]. Despite a wealth of studies on the tissue culture of D. offcinale, in order to meet market demands pertaining to both quality and volume, a better understanding of the ideal tissue culture factors [23], as well as the molecular biology [24] of growth and developmental processes, is needed. This paper adds to the body of knowledge related to growth and development in this orchid by advancing new information related to auxin biosynthesis.
The genome-wide identification of the Aux/IAA gene family has been achieved in many monocotyledonous and dicotyledonous plant species, including Bletilla striata (27 members) [25], Dendrocalamus sinicus (26 members) [26], Hordeum vulgare (36 members) [27], Trichosanthes dioica (37 members) [28], Acer rubrum (17 members) [29] and Ricinus communis (19 members) [30]. In this study, we reported the first systematic analysis of the Aux/IAA and ARF gene family in the Dendrobium genus, and a total of 14 putative Aux/IAA and 26 ARF genes were validated from the D. officinale genome. The number of Aux/IAA genes that we identified in D. officinale was similar to the number documented for A. rubrum and R. communis, but less than that noted for the other plant species indicated above based on a genomic analysis. This might indicate that a large-scale duplication event occurred late in the evolution of D. officinale, A. rubrum and R. communis, relative to other plants [31].
Similar to prior discoveries in another Dendrocalamus species [26], the 14 DoIAA proteins could be classified into two major groups, indicating that there are conserved motifs of Aux/IAA proteins in both D. officinale and D. sinicus. The conserved domain analysis revealed that all of the DoIAA proteins contained domains III and IV whereas a few did not include domains I or II, consistent with the Aux/IAA proteins of A. thaliana and O. sativa [32, 33]. The leucine-rich domain I and the proline-rich domain II acted as transcriptional repressors and were shown to be responsible for the characteristic instability of IAA proteins [34]. In our study, the stability of DoIAA5, 9, 12, 13 and 14, which lack domain II, may be higher than that of other proteins (Fig. 2). The IAA proteins, which have a bipartite NLS and SV40-type NLS in domains II and IV, tend to be localized in the nucleus. Consistent with this statement, four DoIAA proteins (DoIAA1, 6, 10 and 13) were localized in the nucleus (Fig. 6).
In D. officinale, quantitative real time polymerase chain reaction (qRT-PCR) data was strongly and positively correlated with RNA-seq data [18]. This technique is thus a useful and convenient tool for reflecting the transcript levels of target genes in different organs, developmental stages and phytohormone treatments. In pepper, Aux/IAA genes showed organ-specific expression, displaying different expression profiles in various organs [35]. The DoIAA genes also exhibited tissue-specific transcriptional patterns, indicating their important roles in root or flower development (Fig. 3). Concomitantly, endogenous IAA content decreased from S1-S3 and the expression levels of DoIAA genes displayed a similar trend as IAA content (Fig. 4), indicating their vital functions in the IAA signaling pathway.
Aux/IAA genes are thought to be primary early auxin-responsive genes, and their expression patterns vary depending on the plant species when treated with IAA, IAA analogues or other auxins. For example, in O. sativa, most Aux/IAA genes were upregulated by treatment with 2,4-dichlorophenoxy-acetic acid [33]. In H. vulgare, the Aux/IAA genes displayed various expression patterns when plants were sprayed with 1-naphthaleneacetic acid [27]. In A. rubrum, Aux/IAA genes exhibited positive responses or no changes to IAA treatment in new leaves [29]. In our research, most Aux/IAA genes were downregulated by IAA treatment (Fig. 5). We speculate that when plants were sprayed with exogenous IAA, the biosynthesis of the endogenous IAA was inhibited. DoIAA proteins form dimers with DoARFs, thereby repressing the auxin-responsive genes (e.g., DoIAAs) [36].
Domains III and IV of the C-terminus mediated the ARF-Aux/IAA interaction in A. thaliana, as validated by Y2H and biomolecular fluorescence complementation assays [36, 37]. In Populus tomentosa, PtoIAA9 interacted with PtoARF5 homologs via the CTD domain and regulated the expression of genes associated with early xylem development [38]. In apple (Malus domestica), MdARF13 interacted with an unstable Aux/IAA repressor MdIAA121 and regulated anthocyanin biosynthesis through the Aux/IAA-ARF signaling pathway [39]. In our study, DoIAA10 and 13 interacted with DoARF2 and 17, as shown by the Y2H assay (Fig. 7), and the expression levels of the four corresponding genes were downregulated during flower senescence (Fig. 4 and S2), indicating that they were involved in the auxin-signaling pathway of flower development.
Based on this information, we propose a model: At the S1/S2 stage of flower development (flower buds with a high IAA concentration), Aux/IAA proteins are ubiquitinated and degraded by 26S proteasome [40]. ARF proteins are then released and activate the transcription of auxin-responsive genes. In S3 (fully-opened flowers with a low IAA concentration), Aux/IAA proteins interact with ARF proteins and repress the transcription of auxin-responsive genes [41]. Detailed biochemical and physiological experiments would be needed to confirm, or disprove, this proposed model (Fig. 8).
Conclusion
In this study, the early auxin-responsive genes, including 14 Aux/IAA and 26 ARF genes, were validated from D. officinale, an orchid. By analyzing sequence homologues, it was found that most of the Aux/IAA proteins contained four conserved domains (I, II, III, and IV) and two NLSs. In different organs, the Aux/IAA genes displayed tissue-specific patterns, indicating their important roles in root/flower development. In the IAA treatment, most of the Aux/IAA genes were downregulated. Four Aux/IAA genes (DoIAA1, 6, 10, 13) and three ARF genes (DoARF2, 17, 23), which were positively correlated with IAA content during flower development, were selected for further analysis. As shown by a Y2H assay, two Aux/IAA proteins (DoIAA10, 13) displayed a protein–protein interaction with ARF proteins (DoARF2, 17), suggesting that the IAA may regulate flower development in D. officinale via an Aux/IAA-ARF–mediated signaling pathway.
Methods
Plant materials, growth conditions and hormone treatments
Tissue-cultured D. officinale cultivar ‘Zhongke 5’ was collected from Liancheng of Fujian province in China and cultivated by professor Jun Duan (https://www.cas.cn/syky/201811/t20181109_4669776.shtml). This research complies with the IUCN Policy Statement on Research Involving Species at Risk of Extinction and the Convention on the Trade in Endangered Species of Wild Fauna and Flora. Seedlings were cultured at the South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, in China. They were planted in vitro in jars (about 10 seedlings in 100 mL medium of 600 mL volume per jar) with Murashige and Skoog (MS) medium containing 0.5% (w/v) activated carbon under controlled environmental conditions: 24 ± 2 °C; 12-h photoperiod (80 μmol/m2·s); 80% relative humidity [42].
Ten-month-old tissue-cultured seedlings were divided into four groups with three biological replicates each. Whole plants in jars were sprayed (volume per jar) with 20 mL of 10 μmol/L IAA (Yuanye Biotechnology Co., Ltd., Shanghai, China) for different periods of time (0, 3, 6, and 12 h). Separately, plants that were not sprayed with IAA (0 h) were used as the control. For each treatment, young leaves near the shoot tip were collected and mixed, frozen in liquid nitrogen and stored at -80 °C for RNA extraction.
To analyze subcellular localization, A. thaliana (ecotype Columbia) seeds (v = 50 μL) were sprayed with tap water and stored in the dark at 4 °C for 48 h. Seeds were then transferred to a substrate containing nutrient soil and vermiculite (v: v = 2:1), and placed in a controlled growth environment (22 ± 2 °C; 16-h photoperiod; 80 μmol/m2·s; 80% relative humidity). When A. thaliana plants were 4–6 weeks old, protoplasts were harvested from leaves using a previously described method [43].
Bioinformatics of the Aux/IAA and ARF gene family
The Hidden Markov Model (HMM) of the Aux/IAA gene family (PF02309) and ARF gene family (PF06507) were generated from the pfam database (http://pfam-legacy.xfam.org/) and used to find putative Aux/IAA and ARF genes in the D. officinale genome [44] using the hmmbuild tool (http://www.hmmer.org/). The promoter regions (about -1500 bp before ATG) of Aux/IAA genes were selected from the scaffold data in the D. officinale genome [44] and used to analyze candidate CREs in PlantCARE software (http://bioinformatics.psb.ugent.be/webtools/plantcare/html/). The amino acid sequences of putative Aux/IAA proteins were submitted to Expasy (https://www.expasy.org/) to calculate the number of AAs, pI and MW, and also submitted to WoLF PSORT (https://wolfpsort.hgc.jp/) to predict subcellular localization. The Aux/IAA proteins from D. officinale were aligned by ClustalX (http://www.clustal.org/) and submitted to the DNAMAN software (https://www.lynnon.com/index.html) to conduct an analysis of multiple sequence alignment. The Aux/IAA proteins from D. officinale, A. thaliana and Oryza sativa [28, 29] were aligned by default parameters of Muscle built in MEGA-X software (https://www.megasoftware.net/), and used to construct a neighbor-joining (N-J) tree with MEGA-X software (https://www.megasoftware.net/).
Subcellular localization of Aux/IAA proteins
To construct YFP-fusion vectors, the ORFs of the DoIAA genes without the stop codon were cloned into the NcoI site of pSAT6-EYFP-N1 [45]. The empty plasmid and recombinant plasmids with NLS-mCherry localization marker, which are located in the nucleus, were co-transferred into the protoplasts of A. thaliana using polyethylene glycol-mediated transformation [43]. After incubation at 22 °C in the dark for 12–16 h, the YFP fluorescence signals of protoplasts were visualized under a Leica TCS SP8 STED 3 × microscope (Leica Camera AG., Solms, Germany). All of the primers designed for subcellular localization are listed in Table S2.
Y2H assay
The Aux/IAA and ARF genes that displayed a decreasing trend during flower development were selected for the Y2H assay. To construct AD/BD recombinant vectors, the ORFs of four Aux/IAA genes (DoIAA1, 6, 10 and 13) were cloned into the pGBKT7 vector (Clontech, Palo Alto, CA, USA), and the ORFs of three ARF genes (DoARF2, 17 and 23) were cloned into the pGADT7 vector (Clontech). Two vectors (containing DoIAAs-BD and DoARFs-AD) were co-transformed into yeast strain AH109-competent cells (Weidi Biotech Co Ltd., Shanghai, China) following the manufacturer’s instructions and plated onto double (SD/-Leu/-Trp) and quadruple (SD/-Leu/-Trp/-His/-Ade) selection medium. Media were maintained at 30 °C for 2–4 days. 5-Bromo-4-chloro-3-indolyl-α-D-galactoside (X-α-gal) (Coolaber, Beijing, China) was added to the SD/-Leu/-Trp/-His/-Ade medium to test for β-galactosidase (LacZ) activity [46]. All the primers used in the Y2H assay are listed in Table S2.
Transcriptomic analysis
The RNA-seq data of different tissues, including of the column, sepals, white part of roots, green root tips, stems, leaves, lip and flower buds [47], is available at the SRA database (https://www.ncbi.nlm.nih.gov/sra/) under Bioproject number PRJNA348403. The RNA-seq data of three developmental stages of flowers, including S1 (early flower buds), S2 (medium-stage flower buds) and S3 (fully-opened flowers) [20], were downloaded from the National Genomics Data Center (https://ngdc.cncb.ac.cn/) under BioProject number PRJCA003343. Raw sequences were transformed into clean reads and mapped to the D. officinale genome [44]. The fragments per kilobase of transcript per million fragments mapped (FPKM) value was used to calculate the levels of transcription of Aux/IAA and ARF genes. Heatmaps of the level of expression of DoIAA genes were visualized in TBtools [48].
RNA extraction, cDNA synthesis and qRT-PCR
The RNA of leaves was extracted and purified (by removing DNA) by the Quick RNA Isolation Kit (0416–50 GK, Huayueyang Biotechnology Co. Ltd., Beijing, China). RNA (1 μg) of different samples from the IAA treatment were reverse transcribed to cDNA by the GoScript™ Reverse Transcription System (Promega, Madison, WI, USA) according to the manufacturer’s instructions. cDNA was diluted to 300 ng/μL with double distilled water and used as a template for qRT-PCR. The qRT-PCR assay with the Unique Aptamer™ qPCR SYBR® Green Master Mix (Novogene, Tianjin, China) was performed using the LightCycler® 480 II real-time PCR system (Roche, Basel, Switzerland). The cycling parameters that were used are as follows: a hot start (95 °C) for 2 min; 40 cycles of [95 °C for 15 s, 60 °C for 1 min and 95 °C for 15 s]; 60 °C for 1 min; 95 °C for 15 s; 60 °C for 15 s. The expression levels of target genes were quantified by the 2−ΔΔCT method [49] using EF-1α [50] and Actin (NCBI No. JX294908) as the reference genes. All primers were designed by Integrated DNA Technologies (https://sg.idtdna.com/PrimerQuest/Home/) and are listed in Table S3. Three independent biological and technical replicates were conducted.
Statistical analysis
Data were analyzed by Sigmaplot 12.0 (Systat Software Inc., San Jose, CA, USA). After one-way analysis of variance between the means of different mRNA levels of Aux/IAA and ARF genes in the IAA treatment, significance was assessed by Duncan’s multiple range test (DMRT) at p < 0.05 or p < 0.01. Correlation analysis between the transcriptional levels of Aux/IAA and ARF genes and IAA concentration during flower development was performed using Pearson’s correlation coefficient (r) at p < 0.05.
Supplementary Information
Acknowledgements
We are grateful to Guangyi Dai for assistance with subcellular localization analysis.
Abbreviations
- ABA
Abscisic acid
- Aux
Auxin
- AuxRE
Auxin response element
- ARF
Auxin response factor
- CRE
cis-Regulatory element
- CTD
C-terminal protein–protein interaction domain
- DBD
DNA-binding domain
- DMRT
Duncan’s multiple range test
- FPKM
Fragments per kilobase of transcript per million fragments mapped
- GA
Gibberellin acid
- GH3
Auxin-responsive gretchen hagen3
- HMM
Hidden Markov model
- IAA
Indole-3-acetic acid
- pI
Isoelectric point
- MAP
Medicinal and aromatic plant
- MeJA
Methyl jasmonate
- MW
Molecular weight
- MS
Murashige and Skoog
- NLS
Nuclear localization signal
- ORF
Open reading frame
- N-J
Neighbor-joining
- PEG
Polyethylene glycol
- qRT-PCR
Quantitative real time polymerase chain reaction
- SA
Salicylic acid
- SAUR
Small auxin upregulated RNA
- SD
Standard deviation
- SM
Secondary metabolite
- X-α-gal
5-Bromo-4-chloro-3-indolyl-α-D-galactoside
- YFP
Yellow fluorescent protein
- Y2H
Yeast two-hybrid
Authors’ contributions
CH and SB supervised the project and designed the experiments; CS and DZ performed the experiments; CS, JATdS and SQ analyzed the data; CS wrote the first draft; CS, JATdS and JD revised the manuscript. All authors have read and approved the final manuscript.
Funding
This research was supported by the National Natural Science Foundation of China (grant number 32200298) and the Research and Development Plans in Key Areas of Guangdong Province (grant number 2022B0202080002).
Availability of data and materials
Raw RNA-seq data of different tissues is available at the NCBI under BioProject number PRJNA348403 (https://www.ncbi.nlm.nih.gov/bioproject/PRJNA348403). Raw RNA-seq data of flower development is available at the NGDC under BioProject number PRJCA003343 (https://ngdc.cncb.ac.cn/search/?dbId=&q=PRJCA003343).
Declarations
Ethics approval and consent to participate
Not applicable.
Consent for publication
Not applicable.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Contributor Information
Song Bai, Email: baisong@gdaas.cn.
Chunmei He, Email: hechunmei2012@scbg.ac.cn.
References
- 1.Li YQ, Kong DX, Fu Y, Sussman MR, Wu H. The effect of developmental and environmental factors on secondary metabolites in medicinal plants. Plant Physiol Biochem. 2020;148:80–89. doi: 10.1016/j.plaphy.2020.01.006. [DOI] [PubMed] [Google Scholar]
- 2.Suzuki N, Rivero RM, Shulaev V, Blumwald E, Mittler R. Abiotic and biotic stress combinations. New Phytol. 2014;203(1):32–43. doi: 10.1111/nph.12797. [DOI] [PubMed] [Google Scholar]
- 3.Ashrafi M, Azimi-Moqadam MR, Moredi P, Mohsenifard E, Shekari F, Kompany-Zareh M. Effect of drought stress on metabolite adjustments in drought tolerance and sensitive thyme. Plant Physiol Biochem. 2018;132:391–399. doi: 10.1016/j.plaphy.2018.09.009. [DOI] [PubMed] [Google Scholar]
- 4.Miransari M, Mahdavi S, Simith D. The biological approaches of altering the growth and biochemical properties of medicinal plants under salinity stress. Appl Microbiol Biotechnol. 2021;105:7201–7213. doi: 10.1007/s00253-021-11552-z. [DOI] [PubMed] [Google Scholar]
- 5.Israel A, Langrand J, Fontaine J, Sahraoui ALH. Significance of arbuscular mycorrhizal fungi in mitigating abiotic enviromental stress in medicinal and aromatic plants: a review. Foods. 2022;11:2591. doi: 10.3390/foods11172591. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Teixeira da Silva JA, Ng TB. The medicinal and pharmaceutical importance of Dendrobium species. Appl Microbiol Biotechnol. 2017;101(6):2227–39. doi: 10.1007/s00253-017-8169-9. [DOI] [PubMed] [Google Scholar]
- 7.Huang SY, Chen F, Cheng H, Huang GL. Modification and application of polysaccharide from traditional Chinese medicine such as Dendrobium officinale. Int J Biol Macromol. 2020;157:385–393. doi: 10.1016/j.ijbiomac.2020.04.141. [DOI] [PubMed] [Google Scholar]
- 8.Miransari M, Adham P, Miransari M, Miransari A. The physicochemical approaches of altering growth and biochemical properties of medicinal plants in saline soils. Appl Microbiol Biotechnol. 2022;106:1895–1904. doi: 10.1007/s00253-022-11838-w. [DOI] [PubMed] [Google Scholar]
- 9.Zhao DQ, Hao ZJ, Tao J. Effects of shade on plant growth and flower quality in the herbaceous peony. Plant Physiol Biochem. 2012;61:187–196. doi: 10.1016/j.plaphy.2012.10.005. [DOI] [PubMed] [Google Scholar]
- 10.Luo J, Zhou JJ, Zhang JZ. Aux/IAA gene family in plants: molecular structure, regulation, and function. Int J Mol Sci. 2018;19:259. doi: 10.3390/ijms19010259. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Yoshida S, Saiga S, Weijers D. Auxin regulation of embryonic root formation. Plant Cell Physiol. 2013;54(3):325–332. doi: 10.1093/pcp/pcs170. [DOI] [PubMed] [Google Scholar]
- 12.Jiang HW, Yang XL, Zhang J, Liu XH, Zheng HK, Dong GJ, Nian JP, Feng J, Xia B, Qian Q, et al. Peptidyl-prolyl isomerization targets rice Aux/IAAs for proteasomal degradation during auxin signaling. Nat Commun. 2015;6:7395. doi: 10.1038/ncomms8395. [DOI] [PubMed] [Google Scholar]
- 13.Tiwari SB, Hagen G, Guilfoyle T. The roles of auxin response factor domains in auxin-responsive transcription. Plant Cell. 2003;15:533–543. doi: 10.1105/tpc.008417. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Li N, Huang BW, Tang N, Jian W, Zou J, Chen J, Cao HH, Habib S, Dong XK, Wei W, Gao YQ, Li ZG. The MADS- box gene SlMBP21 regulates sepal size mediated by ethylene and auxin in tomato. Plant Cell Physiol. 2017;58(12):2241–2256. doi: 10.1093/pcp/pcx158. [DOI] [PubMed] [Google Scholar]
- 15.Ke MY, Gao Z, Chen JQ, Qiu YT, Zhang LS, Chen X. Auxin controls circadian flower opening and closure in the waterlily. BMC Plant Biol. 2018;18:143. doi: 10.1186/s12870-018-1357-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Jia YC, Chen CX, Gong FF, Jin WC, Zhang H, Qu SP, Ma N, Jiang YH, Gao JP, Sun XM. An Aux/IAA family member, RhIAA14, involved in ethylene-inhibited petal expansion in rose (Rosa hybrida) Genes. 2022;13:1041. doi: 10.3390/genes13061041. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Gao YR, Liu C, Li XD, Xu HQ, Liang Y, Ma N, Fei ZJ, Gao JP, Jiang CZ, Ma C. Transcriptome profiling of petal abscission zone and functional analysis of an Aux/IAA family gene RhIAA16 involved in petal shedding in rose. Front Plant Sci. 2016;7:1375. doi: 10.3389/fpls.2016.01375. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Si C, Zeng DQ, Yu ZM, Teixeira da Silva JA, Duan J, He CM, Zhang JX. Transcriptome and metabolomic analyses reveal the main metabolites in Dendrobium officinale leaves during the harvesting period. Plant Physiol Biochem. 2022;190:24–34. doi: 10.1016/j.plaphy.2022.08.026. [DOI] [PubMed] [Google Scholar]
- 19.Si JP, Wang Q, Liu ZJ, Liu JJ, Luo YB. Breakthrough in key science and technologies in Dendrobium catenatum industry. China J Chin Mat Med. 2017;42(12):2223–2227. doi: 10.19540/j.cnki.cjcmm.2017.0102. [DOI] [PubMed] [Google Scholar]
- 20.He CM, Liu XC, Teixeira da Silva JA, Liu N, Zhang MZ, Duan J. Transcriptome sequencing and metabolite profiling analyses provide comprehensive insight into molecular mechanisms of flower development in Dendrobium officinale (Orchidaceae) Plant Mol Biol. 2020;104(4–5):529–48. doi: 10.1007/s11103-020-01058-z. [DOI] [PubMed] [Google Scholar]
- 21.Zhou YF, Kang ZM, Peng ZJ. Research progress of rare and endangered plant Dendrobium officinale. Genome Appl Biol. 2018;37(4):1629–1635. [Google Scholar]
- 22.Wei M, Yang CY, Wei SH. Enhancement of the differentiation of protocorm-like bodies of Dendrobium officinale to shoots by ultrasound treatment. J Plant Physiol. 2012;169:770–774. doi: 10.1016/j.jplph.2012.01.018. [DOI] [PubMed] [Google Scholar]
- 23.Teixeira da Silva JA, Cardoso JC, Dobránszki J, Zeng SJ. Dendrobium micropropagation: a review. Plant Cell Rep. 2015;34:671–704. doi: 10.1007/s00299-015-1754-4. [DOI] [PubMed] [Google Scholar]
- 24.Teixeira da Silva JA, Jin XH, Dobránszki J, Lu JJ, Wang HZ, Zotz G, Cardoso JC, Zeng SJ. Advances in Dendrobium molecular research: applications in genetic variation, identification and breeding. Mol Phylogenet Evol. 2016;95:196–216. doi: 10.1016/j.ympev.2015.10.012. [DOI] [PubMed] [Google Scholar]
- 25.Liu HB, Li L, Li C, Huang CY, Guan YS, Chen RH, Xiao SJ, Wen W, Xu DL. Identification and bioinformatics analysis of Aux/IAA family based on transcriptome data of Bletilla striata. Bioengineered. 2019;10(1):668–678. doi: 10.1080/21655979.2019.1692610. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Chen LN, Zheng XG, Guo XJ, Cui YZ, Yang HQ. The roles of Aux/IAA gene family in development of Dendrocalamus sinicus (Poaceae: Bambusoideae) inferred by comprehensive analysis and expression profiling. Mol Biol Rep. 2019;46:1625–1634. doi: 10.1007/s11033-019-04611-2. [DOI] [PubMed] [Google Scholar]
- 27.Shi Q, Zhang YY, To VT, Shi J, Zhang DB, Cai WG. Genome-wide characterization and expression analyses of the auxin/indole-3-acetic acid (Aux/IAA) gene family in barley (Hordeum vulgare L.) Sci Rep. 2020;10:10242. doi: 10.1038/s41598-020-66860-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Saurabh S, Prasad D, Masi A, Vidyarthi AS. Next generation sequencing and transcriptome analysis for identification of ARF and Aux/IAA in pointed gourd (Trichosanthes dioica Roxb.), a non-model plant. Sci Hortic. 2022;301:111152. doi: 10.1016/j.scienta.2022.111152. [DOI] [Google Scholar]
- 29.Zhu WP, Zhang MY, Li JY, Zhao HW, Ge W, Zhang KZ. Identification and analysis of Aux/IAA family in Acer rubrum. Evol Bioinform. 2021;17:1–12. doi: 10.1177/1176934321994127. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Feng L, Li GR, He ZB, Han WY, Sun JX, Huang FL, Di JJ, Chen YS. The ARF, GH3, and Aux/IAA gene families in castor bean (Ricinus communis L.): Genome-wide identification and expression profiles in high-stalk and dwarf strains. Ind Crop Prod. 2019;141:111804. doi: 10.1016/j.indcrop.2019.111804. [DOI] [Google Scholar]
- 31.Blanc G, Hokamp K, Wolfe KH. A recent polyploidy superimposed on older large-scale duplications in Arabidopsis genome. Genome Res. 2003;13:137–144. doi: 10.1101/gr.751803. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Overvoorde PJ, Okushima Y, Alonso JM, Chan A, Chang C, Ecker JR, Hughes B, Liu A, Onodera C, Quach H, et al. Functional genomic analysis of the AUXIN/INDOLE-3-ACETIC ACID gene family members in Arabidopsis thaliana. Plant Cell. 2005;17:3282–3300. doi: 10.1105/tpc.105.036723. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Jain M, Kaur N, Garg R, Thakur JK, Tyagi AK, Khurana JP. Structure and expression analysis of early auxin-responsive Aux/IAA gene family in rice (Oryza sativa) Funct Integr Genomics. 2006;6:47–59. doi: 10.1007/s10142-005-0005-0. [DOI] [PubMed] [Google Scholar]
- 34.Leyser O. Dynamic integration of auxin transport and signaling. Curr Biol. 2006;16(11):424–433. doi: 10.1016/j.cub.2006.05.014. [DOI] [PubMed] [Google Scholar]
- 35.Waseem M, Ahmad F, Habib S, Li ZG. Genome-wide identification of the auxin/indole-3-acetic acid (Aux/IAA) gene family in pepper, its characterization, and comprehensive expression profiling under environmental and phytohormones stress. Sci Rep. 2018;8:12008. doi: 10.1038/s41598-018-30468-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Li SB, Xie ZZ, Hu CG, Zhang JZ. A review of auxin responses factors (ARFs) in plants. Front Plant Sci. 2016;7:47. doi: 10.3389/fpls.2016.00047. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Korasick DA, Chatterjee S, Tonelli M, Dashti H, Lee SG, Westfall CS, Fulton DB, Andreotti AH, Amarasinghe GK, Strader LC, et al. Defining a two-pronged structural model for PB1 (Phox/Bem1p) domain interaction in plant auxin responses. J Biol Chem. 2015;290(20):12868–12878. doi: 10.1074/jbc.M115.648253. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Xu CZ, Shen Y, He F, Fu XK, Yu H, Lu WX, Li HL, Li CF, Fan D, Wang HC, et al. Auxin-mediated Aux/IAA-ARF-HB signaling cascade regulates secondary xylem development in Populus. New Phytol. 2019;222:752–767. doi: 10.1111/nph.15658. [DOI] [PubMed] [Google Scholar]
- 39.Wang YC, Wang N, Xu HF, Jiang SH, Fang HC, Su MY, Zhang ZY, Zhang TL, Chen XS. Auxin regulates anthocyanin biosynthesis through the Aux/IAA-ARF signaling pathway in apple. Hortic Res. 2018;5:59. doi: 10.1038/s41438-018-0068-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Salehin M, Bagchi R, Estelle M. SCFTIR1/AFB-based auxin perception: mechanism and role in plant growth and development. Plant Cell. 2015;27:9–19. doi: 10.1105/tpc.114.133744. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Wang R, Estelle M. Diversity and specificity: auxin perception and signaling through the TIR1/AFB pathway. Curr Opin Plant Biol. 2014;21:51–58. doi: 10.1016/j.pbi.2014.06.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Murashige T, Skoog F. A revised medium for rapid growth and bioassays with tobacco tissue cultures. Physiol Plant. 1962;15:473–497. doi: 10.1111/j.1399-3054.1962.tb08052.x. [DOI] [Google Scholar]
- 43.Yoo SD, Cho YH, Sheen J. Arabidopsis mesophyll protoplasts: a versatile cell system for transient gene expression analysis. Nat Protoc. 2007;2(7):1565–1572. doi: 10.1038/nprot.2007.199. [DOI] [PubMed] [Google Scholar]
- 44.Zhang GQ, Xu Q, Bian C, Tsai WC, Yeh CM, Liu KW, Youshida K, Zhang LS, Chang SB, Chen F, et al. The Dendrobium catenatum Lindl. genome sequence provides insights into polysaccharide synthase, floral development and adaptive evolution. Sci Rep. 2016;6:19029. doi: 10.1038/srep19029. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Citovsky V, Lee LY, Vyas S, Glick E, Chen MH, Vainstein A, Gafni Y, Gelvin SB, Tzfira T. Subcellular localization of interacting proteins by biomolecular fluorescence complementation in planta. J Mol Biol. 2006;362:1120–1131. doi: 10.1016/j.jmb.2006.08.017. [DOI] [PubMed] [Google Scholar]
- 46.Lin M, Abubakar YS, Wei LJ, Wang JJ, Lu XG, Lu GD, Wang ZH, Zhou J, Yu WY. Fusarium verticillioides Pex7/20 mediates peroxisomal PTS2 pathway import, pathogenicity, and fumonisin B1 biosynthesis. Appl Microbiol Biotechnol. 2022;106:6595–6609. doi: 10.1007/s00253-022-12167-8. [DOI] [PubMed] [Google Scholar]
- 47.Zhang GQ, Liu KW, Li Z, Lohaus R, Hsiao YY, Niu SC, Wang JY, Lin YC, Xu Q, Chen LJ, et al. The Apostasia genome and the evolution of orchids. Nature. 2017;549:7672. doi: 10.1038/nature23897. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Chen CJ, Chen H, Zhang Y, Thomas HR, Frank MH, He YH, Xia R. TBtools: an integrative toolkit developed for interactive analyses of big biological data. Mol Plant. 2020;13(8):1194–1202. doi: 10.1016/j.molp.2020.06.009. [DOI] [PubMed] [Google Scholar]
- 49.Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and 2−ΔΔCT method. Methods. 2001;25(4):402–408. doi: 10.1006/meth.2001.1262. [DOI] [PubMed] [Google Scholar]
- 50.Zhang G, Zhao MM, Zhang DW, Guo SX. Reference gene selection for real-time quantitative PCR analysis of Dendrobium officinale. Chin Pharm J. 2013;48(19):1664–1668. [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
Raw RNA-seq data of different tissues is available at the NCBI under BioProject number PRJNA348403 (https://www.ncbi.nlm.nih.gov/bioproject/PRJNA348403). Raw RNA-seq data of flower development is available at the NGDC under BioProject number PRJCA003343 (https://ngdc.cncb.ac.cn/search/?dbId=&q=PRJCA003343).