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Article

Overexpression of BpCUC2 Influences Leaf Shape and Internode Development in Betula pendula

State Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, 26 Hexing Road, Harbin 150040, China
*
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2019, 20(19), 4722; https://doi.org/10.3390/ijms20194722
Submission received: 5 July 2019 / Revised: 19 September 2019 / Accepted: 19 September 2019 / Published: 23 September 2019
(This article belongs to the Collection Genetics and Molecular Breeding in Plants)

Abstract

:
The CUP-SHAPED COTYLEDON 2 (CUC2) gene, which is negatively regulated by microRNA164 (miR164), has been specifically linked to the regulation of leaf margin serration and the maintenance of phyllotaxy in model plants. However, few studies have investigated these effects in woody plants. In this study, we integrated genomic, transcriptomic, and physiology approaches to explore the function of BpCUC2 gene in Betula pendula growth and development. Our results showed that Betula pendula plants overexpressing BpCUC2, which is targeted by BpmiR164, exhibit shortened internodes and abnormal leaf shapes. Subsequent analysis indicated that the short internodes of BpCUC2 overexpressed transgenic lines and were due to decreased epidermal cell size. Moreover, transcriptome analysis, yeast one-hybrid assays, and ChIP-PCR suggested that BpCUC2 directly binds to the LTRECOREATCOR15 (CCGAC), CAREOSREP1 (CAACTC), and BIHD1OS (TGTCA) motifs of a series of IAA-related and cyclin-related genes to regulate expression. These results may be useful to our understanding of the functional role and genetic regulation of BpCUC2.

Graphical Abstract

1. Introduction

Plant morphogenesis and organ development are dependent on complex regulatory mechanisms [1]. Arabidopsis CUP-SHAPED COTYLEDON 2 (CUC2) gene encoding a NAC-domain transcription factor plays an important role in the development of organ boundaries, internodes, and leaves in plants [2,3]. Double mutants affected in CUC2 and another redundant genes, including CUC1, show near complete fusion of the cotyledons [3]. CUC genes also control shoot apical meristem (SAM) formation and cotyledon development through their interactions with SHOOT MERISTEMLESS (STM) [2]. MicroRNAs (miRNAs) are short non-coding RNAs of ~21 nt in length that act through translational repression and mRNA cleavage of the target gene [4]. The Arabidopsis miR164 family consists of three members: miR164a, miR164b, and miR164c. They negatively regulate several NAC family transcription factors, including CUC2 [5,6,7]. Enhanced leaf serration and abnormal phyllotactic patterns were observed following the expression of miR164-resistant CUC2 in Arabidopsis thaliana, which indicates that miR164-mediated repression of CUC2 is necessary for the correct control of leaf margin serration [8] and phyllotaxy maintenance [9]. Although many studies have assessed the function of CUC2 in model plants, studies in tree species remain limited.
Birch trees are important broad-leaved fast-growing tree species and one of the most important commercial timber tree species for paper, furniture, and plywood production in China [10]. Betula pendulaDalecarlica,’ which is an intraspecific variant of B. pendula, has great importance in ornamental and classification value [11,12]. In our previous studies, the key genes controlling leaf serrated formation were assessed, and the transcriptomes of B.pendulaDalecarlica’ and B.pendula plants were compared. Among 17,146 uni-genes that were differentially expressed, BpCUC2 was significantly up-regulated in B.pendulaDalecarlica’ [10], which indicates its association with leaf margin development.
To investigate roles of BpCUC2 in Betula pendula growth and development, we examined the phenotypes of transgenic lines with additional copy/copies of BpCUC2. In addition, several target genes of BpCUC2 were identified by transcriptome analysis, yeast one-hybrid assays, and ChIP-PCR. We also examined the phenotypes of BpmiR164 transgenic lines. The data indicate that BpCUC2 is an important player in the regulation of leaf shape and internode development of birch. BpmiR164 was identified as a negative regulator of BpCUC2, and BpCUC2 primarily acted on a range of IAA-related and cyclin-related genes.
As an ornamental and timber species, it is of great significance to study the key gene regulating the growth and development of birch. Our results reveal the important role of BpCUC2 in leaf shape and internode development of Betula pendula, and provide a theoretical reference for designed breeding and variety improvements of Betula pendula.

2. Results

2.1. Identification of the CUC2 Gene in Betula pendula

In Arabidopsis, CUC2 plays multiple roles, including embryonic meristem formation, cotyledon separation, and leaf development [13,14,15]. Studies on the function of CUC2 in birch are lacking. In this scenario, we identified a CUC2 homolog in B. pendula. Unrooted phylogenetic tree of the NAC domains show that BpCUC2 was evolutionarily close to AtCUC2 (Figure 1A). The C-terminal of the BpCUC2 was highly conserved and had typical A, B, C, D, and E domains of the NAC (NAM/ATAF/CUC) family (Figure 1B). In addition, BpCUC2 includes a conserved NAM domain as analyzed by the conserved utility of NCBI, which indicates that BpCUC2 is a member of the NAM superfamily (Figure 1C).

2.2. Functional Analysis of BpCUC2 Gene

To further explore the biological functions of BpCUC2, We overexpressed BpCUC2 under control of the constitutive CaMV 35S promoter to obtain additional copy/copies of the wild type allele in B. pendula by Agrobacterium-mediated transformation. We obtained three independent transgenic lines (OE1-OE3) (see Figure S1). We determined the expression of BpCUC2 in the buds of a seedling stage and one-year-old WT (wild-type) and transgenic lines. Due to the growth characteristics of birch, it grows in Northern China in May and stops growing in September. We, therefore, determined the expression of BpCUC2 from May to August in WT and transgenic line leaves. Analysis of the expression patterns showed that BpCUC2 was overexpressed at different developmental stages and in different organs in BpCUC2 OE lines (see Figure S2). Transgenic birch overexpressing (OE) BpCUC2 showed multiple phenotypical defects, including abnormal leaves (Figure 2A,B), curved buds, and a severe dwarf phenotype (Figure 2C,D). Mature leaf margin smoothness differed between WT and OE lines, as the number of first and second order leaf teeth were reduced in BpCUC2 OE lines. In particular, BpCUC2 OE lines lack third order leaf teeth (see Figure S3A–D). From the first leaf to the eighth leaf, the number of leaf teeth of the wild type line gradually increased with leaf development, while the number of leaf teeth of transgenic lines significantly decreased (see Figure S3A–D), which indicates that, as the leaves develop, many leaf teeth disappeared as they failed to be separated. We also followed early leaf development between WT and the BpCUC2 OE1 line to further understand the role of BpCUC2 in the ontogeny of birch leaves. In the OE1 leaves, teeth initiated at the early leaf developmental stage and continued to grow to levels comparable to the wild type (see Figure S4). These results indicate that the smooth margins may not be due to defective teeth initiation or growth during the early stages of leaf development, but because the teeth fail to be separated during late stage developmental stages. Apical buds of BpCUC2 OE lines were bent at ~90 ° (Figure 2C). In wild type (WT) birch, leaves on the stems were well-organized. However, in BpCUC2 OE lines, leaves were abnormally distributed along the stems (see Figure 2E and Figure S5). The average height and internode numbers of BpCUC2 OE lines were significantly reduced (Figure 2F–2G), which indicates that the overexpression of BpCUC2 affected the growth and development of birch. Because abnormal phyllotactic patterns are often associated with perturbed meristem sizes [16], we analyzed the meristem width of BpCUC2 OE lines. The widths of BpCUC2 OE lines were comparable to the wild type (see Figure S6).
All replicates of the BpCUC2 OE lines displayed petiole and stem fusion (petiole-stem) during vegetative development. Sectioning analysis revealed the presence of two distinct vascular bundles in the fused petiole-stem (Figure 3). Leaf basal angles of mature leaves from BpCUC2 OE lines were significantly smaller than those of the wild type (Figure 2B). Leaf margins of the BpCUC2 OE lines were smoother than those of the wild type (see Figure S3A–D). These data indicate that the ectopic and excessive expression of BpCUC2 influences the developmental processes of birch.

2.3. BpCUC2 Affects Epidermal Cell Size and Cell Number

Since BpCUC2 OE lines showed a dwarf phenotype, we measured the internode lengths of WT and BpCUC2 OE lines. We found that 90% of the internodes in wild type lines were 1.5 cm to 2.5 cm in length. However, 60% of the internodes in BpCUC2 OE lines were less than 1 cm in length (Figure 4A). We next measured the stem epidermal-cell length and cell number of the wild type and BpCUC2 OE lines. We found that the epidermal-cell length of OE plants were ~50% of wild type lines (Figure 4B,C) and that the cell number was 76.8% of wild type lines. The shortened internodes of BpCUC2 OE lines were due to the inhibition in both epidermal cells’ size and cell number.

2.4. Identification of BpCUC2 Regulated Genes

CUC2 was reported as a transcription factor in Arabidopsis [2,17]. The CaMV35S::BpCUC2-GFP plasmid was transfected into onion epidermal cells using particle bombardment. As shown in Figure 5, the BpCUC2-GFP (green fluorescent protein) fusion protein was localized to the nucleus.
To further investigate BpCUC2 targeted genes, we used the Transcription factor-centered Yeast One Hybrid [18] to identity BpCUC2 binding motifs. Using this system, a random short DNA sequence insertion library was generated as the prey DNA sequences and the BpCUC2 protein was used as the bait. After screening, we obtained about 15 positive clones of which five positive clones randomly sequenced. Following the analysis of insertion sequences on the PLACE (Plant Cis-acting Regulatory DNA Elements) database, we isolated several motifs that were recognized by BpCUC2. As shown in Table 1, “CCAGGCGTCGGG” (underlined bases represent part of the pHIS2 vector sequence) includes the CGACGOSAMY3 element “CGACG” [19] and LTRECOREATCOR15 element “CCGAC” [19]. “CAACTCCGAGTG” includes the CAREOSREP1 motif “CAACTC” [20], and “CTGCTTGTCAGG” contains the BIHD1OS motif “TGTCA” [20] and WRKY71OS motif “TGAC” [21]. We used standard yeast one hybrid (Y1H) assays to validate the binding of BpCUC2 to these motifs. Some of the motifs had transcriptional auto-activation activity and cannot be analyzed by yeast one-hybrid assays. Lastly, we identified LTRECOREATCOR15 (CCGAC), CAREOSREP1 (CAACTC), and BIHD1OS (TGTCA) that may be recognized by BpCUC2 using yeast one-hybrid assays. CAREOSREP1 has been identified as a GA-responsive sequence [20] and the LTRECOREATCOR15 plays a role in low temperature responsiveness [22]. BIHD1OS is the typical cis-element of the homeo-domain transcriptional factors [23]. The yeast one hybrid (Y1H) results indicated that yeast cells harboring the combination of AD-Rec2-BpCUC2 (effector) and reporters grew well on SD/-Leu/AbA selective medium, which demonstrate that BpCUC2 binds to these three elements (Figure 6A). To further verify the Y1H data, pCAMBIA1300-BpCUC2 constructs (effector) and vectors of three tandem copies of LTRECOREATCOR15, CAREOSREP1, and BIHD1OS fused with modified pCAMBIA1301-GUS (reporter), respectively, were co-transformed into tobacco leaves to drive GUS (β-glucuronidase) gene expression (Figure 6B). GUS expression was observed by staining the tobacco leaves after co-transformation with pCAMBIA1300-BpCUC2 using these motifs. No GUS staining was detected in co-transformed lines harboring pCAMBIA1300-BpCUC2 and the reporter vector without motif sequences and harboring reporter vectors with LTRECOREATCOR15, CAREOSREP1, and BIHD1OS motifs without BpCUC2 (Figure 6C). These data indicate that BpCUC2 may bind to the motifs of LTRECOREATCOR15 (CCGAC), CAREOSREP1 (CAACTC), and BIHD1OS (TGTCA).
We used RNA-sequences to identify differentially expressed genes (DEGs) in the BpCUC2 OE lines. The apical buds of three-year old WT and three transgenic lines were collected. We generated four biological replicates for WT and each BpCUC2 OE line, respectively. A total of 16 RNA-sequence libraries were constructed and sequenced. After sequence trimming, we achieved 491.6 million clean reads (28.7–31.8 million per library, Q30 ≥ 93%). Approximately 27.6–30.7 million clean reads per library could be mapped to the Betula pendula subsp. pendula genome (See Table S1). To further validate the DEG results, the expression of 12 randomly selected DEGs were verified by quantitative real-time reverse transcription PCR (qRT-PCR) analysis. Most qRT-PCR results were consistent with the DEG data (see Figure S7), which demonstrated the reliability of DEG results. Compared to WT, we identified a total of 688 DEGs in BpCUC2 OE lines, including 533 upregulated genes and 155 downregulated genes. In the promoter regions of these DEGs, 275 contained LTRECOREATCOR15 motifs, 245 contained CAREOSREP1 motifs, and 592 contained BIHD1OS motifs.
In Arabidopsis, CUC2 plays a significant role in auxin distribution [24]. In this study, we identified a range of auxin-related genes that were differentially expressed in BpCUC2 OE lines. For example, the auxin biosynthesis-related genes BpYUCCA5, many small auxin up RNA (SAUR) family related genes (BpSAUR21-like1, BpSAUR21-like2, BpSAUR21-like3, BpSAUR21-like4, BpSAUR24-like1, BpSAUR24-like2, and BpSAUR24-like3) and IAA-amino acid hydrolase ILR1(ILR1) were up-regulated in BpCUC2 OE lines. BpARF2 was significantly down-regulated. We found that BpLSH10-1 and BpLSH10-2 are in the DEGs, which are two genes that belong to the same family of CUC1 target genes LIGHT-DEPENDENT SHORT HYPOCOTYLS 4(LSH4) and LSH3 [17]. LATERAL SUPPRESSOR (LAS/SCL18) are previously shown as direct AtCUC2 target genes in Arabidopsis thaliana, and also in the DEGs [25] (See Table S2).
Plant growth, cell size, and cell number were inhibited in transgenic birch. Additionally, cell division and plant growth were interconnected [26]. Cyclin is a regulatory protein that interacts with cyclin-dependent kinases (CDKs) to control cell cycle progression. In addition to auxin related genes, we found that the cyclin-related genes BpCyc U2-2 like (Alternative name: CYCP3;2 like) were significantly up-regulated in BpCUC2 OE lines. Cyclin-dependent protein kinase inhibitor BpSMR6, BpCyclin-A3-1, and BpCyc-U4-1 like were down-regulated in BpCUC2 OE lines (See Table S2).
Since all BpCUC2 OE lines expressed a BpCUC2-GFP fusion gene, we used GFP (green fluorescent protein) antibodies to perform ChIP-PCR and analyze the association of BpCUC2 with auxin and cyclin related genes via promoter binding. Since BpCUC2 binds to LTRECOREATCOR15, CAREOSREP1, and BIHD1OS, we selected genes whose promoters contain motifs for the ChIP-PCR experiments. Primers were designed around these motifs. The ChIP-PCR results indicated that BpCUC2 bound to the promoters of these genes, which suggests that it directly regulates a series of IAA-related and cyclin-related genes to mediate cell elongation and division in birch (Figure 7).

2.5. BpmiR164 Targets BpCUC2

Previous studies have shown that miR164 targets the transcripts of CUC2 [6]. The regulation of CUC2 by miR164 controls axillary meristem formation and leaf margin serration in Arabidopsis [8,27]. We identified two mature miRNA164 sequences (BpmiR164-1 and BpmiR164-2) in the B. pendula genome. To further confirm the regulatory relationship between BpmiR164 and BpCUC2, 5′RACE was used to identify the cleavage sites of BpCUC2. The results showed that the 5′ ends of miRNA-guided cleavage products terminated in the middle of the BpmiR164 and its complementary sequence (Figure 8), which was similar to Arabidopsis thaliana [27]. This indicates that BpCUC2 is also a target of BpmiR164 in B. pendula.
To further investigate the regulation of BpmiR164 to BpCUC2, we generated three BpmiR164-repressing lines (STTM-BpmiR164-1, STTM-BpmiR164-2, and STTM-BpmiR164-3) using short tandem target mimic (STTM) technology via Agrobacterium-mediated transformation (see Figure S8) [28]. Since STTM can simultaneously target specific endogenous miRNAs for degradation, we constructed an STTM vector repressing BpmiR164-1 and BpmiR164-2. However, the STTM-BpMIR164 lines were shorter than the wild type, though not as short as the BpCUC2 OE lines (Figure 9A,E). We next examined the expression of BpmiR164s and BpCUC2 in STTM-BpmiR164 lines. qRT-PCR indicated that the two BpmiR164s (BpmiR164-1, BpmiR164-2) were down-regulated in the STTM-BpmiR164 lines, while the expression of BpCUC2 was up-regulated (Figure 9B–D), which indicates that BpmiR164 negatively regulates BpCUC2. However, BpCUC2 was modestly up-regulated in STTM-BpmiR164 lines. In the three STTM-BpmiR164 lines, BpCUC2 was up-regulated 2.7, 2.3, and 3.1-fold, respectively. However, in BpCUC2 OE lines, BpCUC2 was up-regulated 8 to 13-fold.

3. Discussion

CUC2 regulates plant growth and development [15,29,30,31]. Previous studies have shown that BpCUC2 with a typical NAC domain has a similar expression profile to AtCUC2 in Arabidopsis thaliana [32], which suggests its involvement in the growth and morphogenesis of the B. pendula. Using a transgenic approach, we found that BpCUC2 had a significant effect on many aspects of growth and development in B. pendula. Transgenic birch overexpressing BpCUC2 exhibited bent and twisted apical stems, fusion of the petiole and stem, dwarfism, shortened internodes, and smooth leaf margins, which indicated that BpCUC2 affected internode and leaf development in B. pendula. Similarly, Arabidopsis expressed a miR164-resistant CUC2 gene showing an abnormal phyllotactic pattern [9]. In our previous studies, we transferred the BpCUC2 gene into Arabidopsis, and the transgenic Arabidopsis showed a dwarf phenotype (unpublished), but the leaf shape did not differ from a wild type. In addition, Arabidopsis expressing 2x35S::CUC2 transgenic lines showed a mild growth reduction and wrinkled leaves, which differed from the severe growth reduction and smooth margins in B. pendula that overexpressed BpCUC2 [7]. These results suggested that the regulatory mechanism of CUC2 differs between Arabidopsis and B. pendula. This may be due to differences between herbaceous and woody plants, in which the regulation of CUC2 in woody plants is more diverse. In summary, the over-expression of BpCUC2 indicates that BpCUC2 participate in normal internode and leaf development. However, it has been shown that the use of antigenic tags may lead to inappropriate conclusions, and that different tags have different effects on the functions of plant proteins [33]. BpCUC2 OE lines use GFP-fusions that may affect BpCUC2′s functionality. For this reason, to study the native function of BpCUC2, untagged BpCUC2 overexpression lines should be produced in the future.
Arabidopsis miR164 targets CUC2 and regulates an array of growth and developmental processes [5,7,27]. In this case, we showed that BpCUC2 is also a target of BpmiR164 in B. pendula, and a cleavage site exists between the 11th and 12th positions of the complementary sequence, which is consistent with the cleavage site of AtCUC2 in Arabidopsis thaliana by AtmiR164 [34]. To determine the regulatory relationship between BpmiR164 and BpCUC2, which may further functionally characterize BpCUC2, we regenerated three BpmiR164-repressed lines (STTM-BpmiR164-1, STTM-BpmiR164-2, and STTM-BpmiR164-3). Although the relationship between the miRNA and its target gene has traditionally been examined in miRNA overexpression studies or modified miRNA targets, recent evidence involving miRNA silencing through STTM revealed a regulatory relationship. In this study, BpCUC2 expression was up-regulated in the three BpmiR164-repressed lines compared to WT controls. These results confirmed that BpCUC2 expression is up-regulated by inhibiting BpmiR164 expression (i.e., BpmiR164 negatively regulates BpCUC2 expression). However, the phenotype of STTM-BpmiR164 transgenic lines differed from that of the BpCUC2-overexpressed lines. We speculated that the degree of increase in BpCUC2 expression in the BpmiR164-repressed lines was insufficient to produce clear phenotypic changes. Moreover, the results suggested that the phenotype was extremely sensitive to BpCUC2 levels. Previous studies confirmed that STTM decreases miRNA abundance, but does not completely eliminate miRNA function [35]. In this study, the effects of BpmiR164 silencing were relatively weak in the STTM-BpmiR164 lines, since the increase in mean relative BpCUC2 expression levels in the STTM-BpmiR164 transgenic lines was 22.3% of those in BpCUC2-overexpressed lines. However, miR164 expression overlaps with that of its target in Arabidopsis leaves and the vegetative shoot apex [8,27]. Yet, studies of expression pattern of BpmiR164 and BpCUC2 in tree species remain limited. Thus, the repression of BpmiR164 may not lead to the defects observed following BpCUC2 overexpression. Thus, the tight regulation of BpCUC2 and BpmiR164 expression require more thorough analysis in future studies.
Current research suggests that auxin biosynthesis and intercellular auxin transport in the meristem determine the polar localization and elongation rates of root cells [36]. As BpCUC2 OE lines show inhibited epidermis cell elongation, we suspected that the overexpression of BpCUC2 influenced IAA-related gene expression. Our transcriptome analysis revealed that the expression of several IAA-related genes [e.g., SAURs (the early auxin-responsive genes), BpYUCCA5 (auxin biosynthesis-related gene), ILR1 (IAA-amino acid hydrolase) and others], were significantly affected by BpCUC2 overexpression. Global transcript profiling analysis revealed that auxin regulated various cyclin genes, such as CYCB1 and CYCA2 [37,38]. Additionally, the cell size and cell number decreased in the BpCUC2 overexpressed lines, which were also associated with cyclin gene expression [26]. Thus, we examined cyclin-encoding genes among the DEGs in the BpCUC2 overexpressed lines [e.g., CDKs (cyclin-dependent kinases), BpCyclin-A3-1, BpCyc-U4-1, and others]. We speculated these may be target genes of BpCUC2. In addition, BpCUC2 was found to bind on loci that are either up regulated or down regulated in BpCUC2 OE lines, which indicates that BpCUC2 may act as both an activator and a repressor of transcription.
Transcription factor-centered Y1H and standard Y1H assays indicated that BpCUC2 can bind to the following three elements: LTRECOREATCOR15 (CCGAC), CAREOSREP1 (CAACTC), and BIHD1OS (TGTCA). Moreover, on the basis of our ChIP-PCR data, we determined that BpCUC2 can bind to the promoters of IAA-related and cyclin-related genes. Therefore, we hypothesized that BpCUC2 affects leaf shape and internode development by directly regulating the expression of a series of auxin-related and cyclin-related genes.
Previous studies identified three upstream transcription factors that bind to the auxin response element (CACATG) of the BpCUC2 promoter [32]. The current study may be useful for elucidating the function and regulation of BpCUC2. The data presented herein expand our knowledge of the function and regulatory network of BpCUC2 transcription factors in B. pendula (Figure 10).
Taken together, CUC2 and the interacting miR164 regulate various plant growth and development processes, including leaf margin dissections, lateral organ enlargement, and cotyledon and floral organ fusions. In this study, we identified and cloned BpCUC2 in Betula pendula, which was targeted by BpmiR164. Our results demonstrated that plants overexpressing BpCUC2 produce smooth leaf margins and reduced stem cell size and cell number, which leads to shorter internodes. The downstream regulators were identified by transcriptome analysis and ChIP-PCR data. We hypothesize that BpCUC2 directly regulates a series of auxin-related and cyclin-related genes to influence leaf shape and the internode development in birch trees. Our results may provide meaningful clues on the BpCUC2 regulatory network and provide alternative materials and theoretical support for the future breeding of birch varieties.

4. Materials and Methods

4.1. Plant Growth Conditions

Mature seed embryos of wild type B. pendula were used as a transgenic explant, and the seeds were collected from a superior tree of free pollination in the birch national key forest seed base of Northeast Forestry University. Dry seeds were picked while bracts and fruit stems were removed. Samples were divided into small portions. Seeds were placed in plastic bags, sealed, and placed at −20 °C for storage.
Tissue culture seedlings of wild type and transgenic birch were grown in a tissue culture chamber at 25 °C ± 2 °C, 50% to 65% humidity, a photoperiod of 16/8 h, and an illumination intensity of 100–150 μmol·m−2·s−1. The multiplication and propagation of transgenic birch were performed as previously described [39]. The tissue culture seedlings of wild type and transgenic lines were cultivated on solid agar medium with woody plant medium (WPM) supplemented with 0.8 mg/L 6-BA, 0.02mg/L NAA, and 0.5mg/L GA3 in the tissue culture flasks. When the adventitious buds grew up, they were cut and cultivated on the solid agar medium with WPM (woody plant medium) supplemented with 0.2 mg/L NAA. After the seedlings grew up, they were transplanted to the birch national key forest seed base of Northeast Forestry University. Wild type birch (WT), BpCUC2 overexpressing lines (OE1-OE3), and BpmiR164 inhibiting expression lines (STTM-BpmiR164-1, STTM-BpmiR164-2, and STTM-BpmiR164-3) were transplanted into 30 plants. In early June, the tissue culture seedlings were transplanted into nursery cups. In the early spring, 30 seedlings with the same conditions were selected and placed in 21 cm × 21 cm pots. The seedling growth substrate was grass charcoal: river sand: black soil (v/v) = 4:2:2. Identical amounts of substrate were added to each pot, plastic trays were placed beneath, and the seedlings were placed in a plastic greenhouse for routine management. Plant positions were varied during growth to avoid the influence of environmental factors.

4.2. Identification and Bioinformatics Analysis of BpCUC2

We aligned the protein sequences of B. pendula to other species using BLAST software (https://blast.ncbi.nlm.nih.gov/Blast.cgi). The top hits of AtCUC2 in B. pendula were identified as BpCUC2 genes (No. Bpev01.c0346.g0003.mRNA1, see Table S5). The NAC family were collected from the literature and GenBank (GenBank [http://www.ncbi.nlm.nih.gov/]). Gene names and GenBank accession numbers are listed in Table S3.
Multiple sequence alignments were generated using CLUSTAL X (version 1.81) with default parameters [40], and phylogenetic analysis was performed using the neighbor-joining method [41]. BpCUC2 annotations were added to the NCBI Conserved Domain Database [42].

4.3. Vector Construction and Birch Transformation

To overexpress BpCUC2, full-length cDNA of BpCUC2 was isolated from birch leaves by PCR and cloned into the pCAMBIA1300-GFP vector using the cauliflower mosaic virus 35S (CaMV 35S) promoter. To silence BpmiR164 expression, short tandem target mimic (STTM) approaches were used as described [43]. The STTM-BpmiR164 structure was used to capture BpmiR164 without its cleavage (5′ catttggagaggacagcccAAGCTTTGGAGAAGCAGctaGGCACGTGCAGttgttgttgttatggtctaatttaaat
atggtctaaagaagaagaatAGCATGTGCCCctaTGCTTCTCCAGAATTCggtacgctgaaatcaccag 3′). Underlined nucleotides highlight the sequences complementary to BpmiR164s with tri-nucleotide mismatches in the middle.
The 35S::BpCUC2 and STTM-BpmiR164 constructs were delivered into the Agrobacterium tumfaciens strain EHA105 via electroporation [38] and the birch genome using Agrobacterium-mediated transformation [32]. The wild type B. pendula seeds were immersed in water for two to three days until the seeds are swollen and used as the transgenic explants. After the seeds were sterilized in 30% hydrogen peroxide for 15 min, they were rinsed with sterile water 2~3 times for use. Agrobacterium tumfaciens containing the 35S::BpCUC2 and STTM-BpmiR164 constructs was used to infect the longitudinally cut seeds. Afterward, the explants were placed onto co-cultivation medium in the dark for 2 days and then planted on selective medium. After 20 days, resistant explant shoots were placed on differential medium. Growing shoots were placed onto rooting medium. The culture medium was as previously described [39]. The selection media consisted of WPM with 0.8 mg/L BA, 0.02 mg/L NAA, 0.5 mg/L GA3, 50 mg/L hygromycin, and 200 mg/L cefotaxime.

4.4. Analysis of Transformants

CUC2-F (5′-ATGGAGTATTCGTACAACTATTTTG-3′) and CUC2-R (5′-GAAGGTCCACATGCAGTCAAG-3′) primer pairs were used for BpCUC2 OE (35S::BpCUC2 transgenic plants) PCR validations. STTM-common-real-PF (5′-CATTTGGAGAGGACAGCCCAAG-3′) and STTM-common-real-PR (5′-CTGGTGATTTCAGCGTACCGAA-3′) primer pairs were used for STTM-BpmiR164 transgenic plant PCR validations.
For the analysis of BpCUC2 expression, total RNA was extracted from the buds of wild type (WT) and BpCUC2 OE lines using Universal Plant Total RNA Extraction Kits (BioTeKe). Quantitative real-time PCRs were performed using quantitative SYBR green PCR Master Mix (Toyobo Co., Ltd., Osaka, Japan) and an ABI 7500 Real-Time PCR system. Amplifications were performed as follows: 45 cycles at 95 °C for 30 s, 95 °C for 15 s, and 58 °C for 40 s. The 18S rRNA was used as an internal control. Gene-specific primers (i.e., BpCUC2-F/ BpCUC2-R) and internal reference primers (i.e., 18S-F/18S-R) (see Table S4) were designed using the Primer-BLAST tool in NCBI (https://www.ncbi.nlm.nih.gov/tools/primer-blast/). Data were analyzed using the 2−ΔΔCT method [44].
For BpmiR164 expression analysis, total RNA was extracted from the buds of WT and STTM-BpmiR164 transgenic plants using the CTAB (Hexadecyltrimethy Ammonium Bromide) method [45]. miRNA First-Strand cDNA synthesis was performed via TransScript ® miRNA First-Strand cDNA Synthesis SuperMix (TransGen Co., Ltd., Beijing, China). Quantitative real-time PCRs were performed using TranScript Green miRNA Two-Step qRT-PCR SuperMix (TransGen Co., Ltd., Beijing, China). Amplifications were performed as follows: 94 °C for 30 s, 45 cycles of 94 °C for 5 s, and 60 °C for 34 s. U6 was used as an internal control. Gene-specific primers (i.e., BpmiR164-1, BpmiR164-2) and internal reference primer (i.e., U6) sequences are listed in Table S4. Data were analyzed using the 2−ΔΔCT method [44].

4.5. Analysis of BpCUC2 Expression

To analyze the expression pattern of BpCUC2, total RNA was extracted from the buds of seedling stage and one-year old WT and BpCUC2 OE lines as well as the leaves from two-year old WT and BpCUC2 OE lines at different developmental stages (May to August) using Universal Plant Total RNA Extraction Kits (BioTeKe). Quantitative real-time PCRs were performed using a quantitative SYBR green PCR Master Mix (Toyobo Co., Ltd., Osaka, Japan) and an ABI 7500 Real-Time PCR system. Amplifications were performed as follows: 45 cycles at 95 °C for 30 s, 95 °C for 15 s, and 58 °C for 40 s. The 18S rRNA was used as an internal control. Gene-specific primers (i.e., BpCUC2-F/BpCUC2-R) and internal reference primers (i.e., 18S-F/18S-R) were shown in Table S4. Data were analyzed using the 2–ΔΔCT method [44].

4.6. Internode Epidermal Cells Analysis

Since the length of epidermal cells in the same internode are uniform, the number of cells between each internode was calculated by dividing the internode length by the average length of the cells. Five plants were measured for each genotype.

4.7. Histological Analyses and Microscopy

The one-year-old WT and BpCUC2 OE lines were transplanted into plastic greenhouses and the buds and stem regions were incubated in FAA solution at 4 °C for 48 h. After dehydration, tissues were cleared, infiltrated, and embedded in paraffin wax, as previously described [46]. Sections (10 µm) were stained with safranin O-fast green. An Olympus BX43 microscope was used for section analysis. A total of five plants were measured for each genotype.

4.8. Phenotypic Characterization

Plant heights were measured in one-year-old WT and BpCUC2 OE lines and four-month-old WT and STTM-BpmiR164 lines. Internode lengths were assessed on the stems of one-year-old WT and BpCUC2 OE lines. The top three internodes of the stems were not assessed since the elongation was incomplete. Each genotype measured 15 plants. For leaf shape analysis, the 1st~8th leaves of the main branch were removed from WT and BpCUC2 OE lines. According to the Manual of Leaf Architecture, the basal angles of the 1st, 3rd, 5th, and 7th leaves and the numbers of orders of leaf teeth of the 1st to 8th leaves of WT and BpCUC2 OE lines were measured [47]. The leaf base angle is the angle from the vertex to the points where a line perpendicular to the midvein at 0.25 lm from the base intersects the margin (lm = from the proximal to the distal midvein) [47]. As B. pendula leaves have three distinct sizes teeth, the largest is the 1st order teeth, the second is the 2nd order teeth, and the smallest is the 3rd order teeth. Analysis of early leaf development in tissue culture seedling of WT and BpCUC2 OE line was performed by directly dissecting the buds and peeling off the leaves layer by layer. Zeiss Lumar.V12 microscopy was used for image analysis. A total of five plants were measured for each genotype.

4.9. Subcellular Localization

The 35S:BpCUC2-GFP expression vector was transfected into onion epidermal cells using particle bombardment technology. After one day of incubation in the dark, onion tissues were imaged via confocal microscopy.

4.10. Transcriptome Analysis

Buds of three-year-old WT and BpCUC2 OE lines was taken for transcriptome analysis. After mixing, samples were placed in liquid nitrogen and sent to the Annoroad Company (Annoroad Gene Technology Co., Ltd., Beijing, China). After RNA quality examination, library construction was performed. Libraries were sequenced on an Illumina platform (Illumina, San Diego, CA, USA). Using STAR (ver. 2.4.0) software [48], clean reads were mapped to B. pendula mRNA reference sequence (https://genomevolution.org/coge/GenomeInfo.pl?gid=35079). The function ′DESeq′ from the R package ′DESeq2′ was used with its default parameter to analyze the adjusted P value of each genes′ expression difference [49]. Twelve replicates of OEs were treated as a whole to derive a single fold change versus WT. DEGs were restricted and false discovery rates with p < 0.05 and fold change (FC) ≥2 were considered. We annotated the DEGs and their proteins through a comparison to NCBI (see Table S5). Data were submitted in the BioProject database under BioProject ID: PRJNA540156 (https://www.ncbi.nlm.nih.gov/bioproject/PRJNA540156).
To verify the accuracy of transcriptome, gene-specific primers (see Table S4) were designed using the Primer-BLAST tool in NCBI (https://www.ncbi.nlm.nih.gov/tools/primer-blast/). Quantitative real-time PCRs were performed as follows: 45 cycles of 95 °C for 30 s, 95 °C for 15 s, and 58 °C for 40 s. The 18S rRNA was used as an internal control. Data were analyzed using the 2–ΔΔCT method [44].

4.11. Binding of BpCUC2 to Motifs

TF-Centered Y1H was used to investigate the binding motifs of BpCUC2, as previously described [50]. The ORF (Open Reading Frame) of BpCUC2 was cloned into pGADT7-Rec2 (AD-Rec2-BpCUC2) using the infusion method following the user manual (In-Fusion ® HD Cloning Kit). In the TF-Centered Y1H system, random short DNA sequences were cloned into pHIS2 to generate prey DNA sequence libraries with specific transcription factors as bait. pHIS2 plasmids were extracted from positive clones identified by TF-centered Y1H analysis and sequenced. The PLACE (http://www.dna.affrc.go.jp/PLACE/) database was used to analyze random DNA sequences for known motifs [51]. The random DNA sequences and motifs predicated by PLACE (Plant Cis-acting Regulatory DNA Elements) software is shown in Table 1.
Tobacco transient expression experiment was used to analyze the binding of BpCUC2 to different motifs. Three tandem copies of LTRECOREATCOR15, CAREOSREP1, and BIHD1OS were fused to the 35S CaMV minimal promoter (−46 bp to +1) to drive the GUS gene in a modified pCAMBIA1301 vector (in which the 35S:hygromycin region was deleted) [52]. Effector vectors were co-transformed into tobacco leaves with each reporter vector using Agrobacterium tumefaciens-mediated transient transformation [50].

4.12. ChIP Assay

The BpCUC2 OE1 buds were used for ChIP assays, as previously described [53]. Sonicated chromatin was immunoprecipitated with GFP antibodies (Abmart) (IP), and chromatin was immunoprecipitated with IgG antibodies as negative controls (Mock). According to the transcriptome analysis, 20 genes were selected and primers were designed for the promoters of these genes (~1000 bp upstream of the initiation codon). Input, Mock, and ChIP samples were used as templates for ChIP-PCRs. Primer sequences used for ChIP amplifications are listed in Table S6.

4.13. 5′ RACE

5′RACE was performed using FirstChoice ® RLM-RACE Kits (Invitrogen, CA). Total RNA was isolated from one-year-old B. pendula plants and directly ligated to the 5′ RACE Adapter (5′-GCUGAUGGCGAUGAAUGAACACUGCGUUUGCUGGCUUUGAUGAAA-3′) without further modifications. Random decamers were used to prime cDNA synthesis with reverse transcriptase. Primers were as follows: 5′ RACE Outer primer (5′-GCTGATGGCGATGAATGAACACTG-3), 5′ RACE gene-specific outer primer (5′-CACATGCAGTCAAGCTCAGTAGGA-3′), 5′ RACE Inner Primer (5′-CGCGGATCCGAACACTGCGTTTGCTGGCTTTGATG-3′), and 5′ RACE gene specific inner primer (5′-AAGGTTCTCCTGCAAGGACCTCA-3′). The 5′ RACE products were gel purified, cloned, and sequenced.

5. Conclusions

As a perennial tall tree, birch is the pioneer species of secondary forests in Northeastern China. It has a fast growth rate, strong cold resistance, excellent material properties, and high survival rate of artificial planting. It also has a wide range of applications in furniture manufacturing and landscaping. Therefore, research on the key genes regulating the growth and development of birch can provide a theoretical basis for forest molecular breeding and provide materials for obtaining excellent new varieties of forest trees. Our results showed that BpCUC2 directly regulates a series of auxin-related and cyclin-related genes to influence leaf shape and the internode development in Betula pendula. Our results may provide meaningful clues on the BpCUC2 regulatory network and the theoretical support for the future breeding of birch trees.

Supplementary Materials

Supplementary materials can be found at https://www.mdpi.com/1422-0067/20/19/4722/s1.

Author Contributions

Conceptualization, J.J. Methodology, H.-W.X., X.-Y.B. Software, S.C. Validation, C.-Y.L. Investigation, R.H., C.-Y.L., S.W., and J.-Y.C. Resources, H.-W.X. Writing—original draft preparation, C.-Y.L. Writing—review and editing, J.J., S.C., and G.-F.L.

Funding

The National key research and development program of China (grant number 2017YFD0600603) and 111 Project (grant number B16010) funded this research.

Acknowledgments

We thank Wang Yucheng (Northeast Forestry University) for providing reformed pCAMBIA1301 vector and guiding us to complete the TF-Centered Yeast One Hybrid, and lecturer Huang Haijiao (Northeast Forestry University) for language correction.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. BpCUC2 sequence analysis. (A) Unrooted phylogenetic tree of the NAC domains was depicted by the Mega 5.0 program, and constructed by the neighbor-joining method. Numbers near the branches represent bootstrap values based on 1000 replications. (B) ClustalW alignment of BpCUC2 and related NAC family proteins. (C) NAM superfamily domain of BpCUC2.
Figure 1. BpCUC2 sequence analysis. (A) Unrooted phylogenetic tree of the NAC domains was depicted by the Mega 5.0 program, and constructed by the neighbor-joining method. Numbers near the branches represent bootstrap values based on 1000 replications. (B) ClustalW alignment of BpCUC2 and related NAC family proteins. (C) NAM superfamily domain of BpCUC2.
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Figure 2. Phenotype of BpCUC2 OE lines. (A) Shape of mature leaves between two-year old BpCUC2 OE and WT lines. Red boxes show differences in leaf margins among the lines. (B) Leaf basal angle of the first, third, fifth, and seventh leaves of two-year old wild type and OE plants. Different letters marked on each column represent significant differences when analyzed by one-way ANOVA and a multiple comparison using Duncan’s test at P < 0.05. Error bars represent the standard deviation (SD) of each line. Data indicate means ± SD (n = 5). (C) Apical bud shape of one-year old BpCUC2 OE and WT lines. (D) Dwarf phenotype of one-year old BpCUC2 OE in comparison with WT lines. (E) Internode of one-year old BpCUC2 OE lines showing an abnormal phyllotactic pattern. (F) Plant height of one-year old BpCUC2 OE and WT lines. (G) Average number of internodes of one-year old BpCUC2 OE and WT lines. Error bars indicate the SD (Standard Deviation) of each line. Data indicate means ± SD (n = 15, P < 0.05).
Figure 2. Phenotype of BpCUC2 OE lines. (A) Shape of mature leaves between two-year old BpCUC2 OE and WT lines. Red boxes show differences in leaf margins among the lines. (B) Leaf basal angle of the first, third, fifth, and seventh leaves of two-year old wild type and OE plants. Different letters marked on each column represent significant differences when analyzed by one-way ANOVA and a multiple comparison using Duncan’s test at P < 0.05. Error bars represent the standard deviation (SD) of each line. Data indicate means ± SD (n = 5). (C) Apical bud shape of one-year old BpCUC2 OE and WT lines. (D) Dwarf phenotype of one-year old BpCUC2 OE in comparison with WT lines. (E) Internode of one-year old BpCUC2 OE lines showing an abnormal phyllotactic pattern. (F) Plant height of one-year old BpCUC2 OE and WT lines. (G) Average number of internodes of one-year old BpCUC2 OE and WT lines. Error bars indicate the SD (Standard Deviation) of each line. Data indicate means ± SD (n = 15, P < 0.05).
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Figure 3. Cross-sections of WT and OE1 stems reveal fused petioles and stems in OE1 (arrowheads). Scale bars are indicated. OE1 represents BpCUC2 OE1 transgenic lines.
Figure 3. Cross-sections of WT and OE1 stems reveal fused petioles and stems in OE1 (arrowheads). Scale bars are indicated. OE1 represents BpCUC2 OE1 transgenic lines.
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Figure 4. Internode and epidermal cell lengths between WT and BpCUC2 OE lines. (A) Percentage of total internode lengths that fell into 5 mm classes are shown. A total of 15 plants were analyzed for each genotype. (B) Longitudinal sections of WT and OE1 stems reveal differential epidermal cell sizes. Scale bar = 100 μM. (C,D) Epidermal cell lengths and the cell number of wild type and OE1. Asterisks (**) represent significant differences among the lines based on a Student’s t-test (n = 5, P < 0.05) and approximately 100 cells were counted per genotype.
Figure 4. Internode and epidermal cell lengths between WT and BpCUC2 OE lines. (A) Percentage of total internode lengths that fell into 5 mm classes are shown. A total of 15 plants were analyzed for each genotype. (B) Longitudinal sections of WT and OE1 stems reveal differential epidermal cell sizes. Scale bar = 100 μM. (C,D) Epidermal cell lengths and the cell number of wild type and OE1. Asterisks (**) represent significant differences among the lines based on a Student’s t-test (n = 5, P < 0.05) and approximately 100 cells were counted per genotype.
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Figure 5. Subcellular localization of BpCUC2. Fluorescence signals show the localization of BpCUC2-GFP in the nuclei of onion epidermal cells. Merged: bright-field and GFP merged images. Scale bar = 50 μM.
Figure 5. Subcellular localization of BpCUC2. Fluorescence signals show the localization of BpCUC2-GFP in the nuclei of onion epidermal cells. Merged: bright-field and GFP merged images. Scale bar = 50 μM.
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Figure 6. Analyses of BpCUC2 binding motifs. (A) Y1H analysis of binding BpCUC2 to LTRECOREATCOR15, CAREOSREP1, and BIHD1OS. (B) Structural diagram of the effector and reporter vector used in transient transformation assays. (C) GUS staining of the binding of BpCUC2 to the LTRECOREATCOR15, CAREOSREP1, and BIHD1OS motifs in tobacco leaves. Negative control 1–4: Tobacco leaves transformed reporter vectors with LTRECOREATCOR15, CAREOSREP1, and BIHD1OS motifs without BpCUC2 and co-transformed pCAMBIA1300-BpCUC2 and the reporter vector without motif sequences, respectively. Positive control: pCAMBIA1301. Scale bars = 1 mm.
Figure 6. Analyses of BpCUC2 binding motifs. (A) Y1H analysis of binding BpCUC2 to LTRECOREATCOR15, CAREOSREP1, and BIHD1OS. (B) Structural diagram of the effector and reporter vector used in transient transformation assays. (C) GUS staining of the binding of BpCUC2 to the LTRECOREATCOR15, CAREOSREP1, and BIHD1OS motifs in tobacco leaves. Negative control 1–4: Tobacco leaves transformed reporter vectors with LTRECOREATCOR15, CAREOSREP1, and BIHD1OS motifs without BpCUC2 and co-transformed pCAMBIA1300-BpCUC2 and the reporter vector without motif sequences, respectively. Positive control: pCAMBIA1301. Scale bars = 1 mm.
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Figure 7. ChIP-PCR analyses of BpCUC2 target genes. Input: sonicated chromatin was used as a positive control. Mock: sonicated chromatin was immunoprecipitated with anti-IgG antibodies. IP: Sonicated chromatin was immunoprecipitated with anti-GFP antibodies. Experiments were performed in triplicate. Chromatin from buds was isolated from BpCUC2 OE1 lines.
Figure 7. ChIP-PCR analyses of BpCUC2 target genes. Input: sonicated chromatin was used as a positive control. Mock: sonicated chromatin was immunoprecipitated with anti-IgG antibodies. IP: Sonicated chromatin was immunoprecipitated with anti-GFP antibodies. Experiments were performed in triplicate. Chromatin from buds was isolated from BpCUC2 OE1 lines.
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Figure 8. 5′ RACE. (A) 2% agarose gel showing the amplified product of 5′ RACE on the BpCUC2 transcript. M: DL2000 marker. lane 1: 5′ RACE product. (B) Scheme of target mRNA cleavage sites. Black box represents mRNA of BpCUC2. Small gray box represents putative cleavage sites. Complementary sequence of miRNA and target mRNA are displayed in the extended region. Numbers of sequenced 5′RACE clones corresponding to the site are indicated by vertical arrowheads. Horizontal black arrowheads represent 5′ RACE gene-specific primer sites.
Figure 8. 5′ RACE. (A) 2% agarose gel showing the amplified product of 5′ RACE on the BpCUC2 transcript. M: DL2000 marker. lane 1: 5′ RACE product. (B) Scheme of target mRNA cleavage sites. Black box represents mRNA of BpCUC2. Small gray box represents putative cleavage sites. Complementary sequence of miRNA and target mRNA are displayed in the extended region. Numbers of sequenced 5′RACE clones corresponding to the site are indicated by vertical arrowheads. Horizontal black arrowheads represent 5′ RACE gene-specific primer sites.
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Figure 9. Regeneration and molecular analysis of STTM-BpmiR164 transgenic lines. (A) Phenotypes of STTM-BpmiR164 plants. (B,C) Relative expression of BpmiR164-1 and BpmiR164-2 in STTM-BpmiR164 transgenic plants. (D) Expression of BpCUC2 in BpCUC2 OE and STTM-BpmiR164 transgenic plants. Experiments were repeated on three occasions under identical conditions. (E) Plant height of four-month-old WT and STTM-BpmiR164 lines. A total of 15 plants were measured for each genotype. Different letters marked on each column represent significant differences when analyzed by one-way ANOVA and a multiple comparison using Duncan’s test at P < 0.05. Error bars represent the standard deviation (SD) of each line.
Figure 9. Regeneration and molecular analysis of STTM-BpmiR164 transgenic lines. (A) Phenotypes of STTM-BpmiR164 plants. (B,C) Relative expression of BpmiR164-1 and BpmiR164-2 in STTM-BpmiR164 transgenic plants. (D) Expression of BpCUC2 in BpCUC2 OE and STTM-BpmiR164 transgenic plants. Experiments were repeated on three occasions under identical conditions. (E) Plant height of four-month-old WT and STTM-BpmiR164 lines. A total of 15 plants were measured for each genotype. Different letters marked on each column represent significant differences when analyzed by one-way ANOVA and a multiple comparison using Duncan’s test at P < 0.05. Error bars represent the standard deviation (SD) of each line.
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Figure 10. Schematic of BpCUC2 transcription factor involvement in regulatory networks. Arrows and arrowheads indicate regulatory effects. Lines with terminal bars indicate a repressive effect. Dotted lines indicate an unknown regulatory relationship.
Figure 10. Schematic of BpCUC2 transcription factor involvement in regulatory networks. Arrows and arrowheads indicate regulatory effects. Lines with terminal bars indicate a repressive effect. Dotted lines indicate an unknown regulatory relationship.
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Table 1. Random DNA sequences and motif predictions.
Table 1. Random DNA sequences and motif predictions.
Clone NumberRandom DNA Insertion Sequence (5′-3′) with Two Sides of the Flanking SequencesMotif Prediction
3CCAGGCGTCGGGCGACGOSAMY3 (CGACG), LTRECOREATCOR15 (CCGAC)
1CAACTCCGAGTGCAREOSREP1 (CAACTC)
1CTGCTTGTCAGGBIHD1OS (TGTCA), WRKY71OS motif (TGAC)

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MDPI and ACS Style

Liu, C.; Xu, H.; Han, R.; Wang, S.; Liu, G.; Chen, S.; Chen, J.; Bian, X.; Jiang, J. Overexpression of BpCUC2 Influences Leaf Shape and Internode Development in Betula pendula. Int. J. Mol. Sci. 2019, 20, 4722. https://doi.org/10.3390/ijms20194722

AMA Style

Liu C, Xu H, Han R, Wang S, Liu G, Chen S, Chen J, Bian X, Jiang J. Overexpression of BpCUC2 Influences Leaf Shape and Internode Development in Betula pendula. International Journal of Molecular Sciences. 2019; 20(19):4722. https://doi.org/10.3390/ijms20194722

Chicago/Turabian Style

Liu, Chaoyi, Huanwen Xu, Rui Han, Shuo Wang, Guifeng Liu, Su Chen, Jiying Chen, Xiuyan Bian, and Jing Jiang. 2019. "Overexpression of BpCUC2 Influences Leaf Shape and Internode Development in Betula pendula" International Journal of Molecular Sciences 20, no. 19: 4722. https://doi.org/10.3390/ijms20194722

APA Style

Liu, C., Xu, H., Han, R., Wang, S., Liu, G., Chen, S., Chen, J., Bian, X., & Jiang, J. (2019). Overexpression of BpCUC2 Influences Leaf Shape and Internode Development in Betula pendula. International Journal of Molecular Sciences, 20(19), 4722. https://doi.org/10.3390/ijms20194722

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