Abstract
Floral traits often show correlated variation within and among species. For species with fused petals, strong correlations among corolla tube, stamen, and pistil length are particularly prevalent, and these three traits are considered an intra-floral functional module. Pleiotropy has long been implicated in such modular integration of floral traits, but empirical evidence based on actual gene function is scarce. We tested the role of pleiotropy in the expression of intra-floral modularity in the monkeyflower species Mimulus verbenaceus by transgenic manipulation of a homolog of Arabidopsis PRE1. Downregulation of MvPRE1 by RNA interference resulted in simultaneous decreases in the lengths of corolla tube, petal lobe, stamen, and pistil, but little change in calyx and leaf lengths or organ width. Overexpression of MvPRE1 caused increased corolla tube and stamen lengths, with little effect on other floral traits. Our results suggest that genes like MvPRE1 can indeed regulate multiple floral traits in a functional module but meanwhile have little effect on other modules, and that pleiotropic effects of these genes may have played an important role in the evolution of floral integration and intra-floral modularity.
Introduction
A flower is essentially a functional unit composed of multiple floral organs that must be arranged in a proper configuration to ensure pollination success. As such, floral traits often show correlated variation within and among species [1–6], a pattern commonly referred to as floral integration [7–9]. For sympetalous species (i.e. species bearing flowers with their petals fused into a corolla tube), strong correlations among corolla tube, stamen, and pistil length are prevalent [10–18]. These three traits likely form a common intra-floral functional module, as their coordination is critical for successful pollen transfer [8]. This raises the question: what is the genetic architecture underlying such intra-floral modules?
Pleiotropy and linkage disequilibrium are two main genetic hypotheses for the expression of modularity [19–24]. The pleiotropy hypothesis assumes that a single gene affects multiple traits simultaneously within a module, whereas the linkage disequilibrium hypothesis assumes that each individual trait within the module is controlled by a different gene but some mechanism (e.g. recombination suppression associated with heterochromatic regions or chromosomal inversions) maintains a tight linkage among these genes. Of the two hypotheses, pleiotropy has been considered a major driver of floral integration and intra-floral modularity [2, 9, 10], although conclusive evidence supporting this hypothesis is scarce. The strongest evidence so far probably comes from studies of wild radish (Raphanus) and tobacco (Nicotiana) flowers, where genetic correlations among corolla tube, stamen, and pistil length do not break down after several generations of random mating [2, 10]. However, even in these cases the actual gene that presumably affects all three traits has not been identified, and the possibility that these traits are controlled by multiple distinct genes in a chromosomal region with recombination suppression cannot be completely ruled out.
An alternative strategy to test the potential role of pleiotropy in intra-floral modularity is transgenic perturbation of candidate genes that might affect multiple floral traits within a module while affecting other traits or modules far less. In this study, we employ this transgenic approach to test modular regulation of the lengths of corolla tube, stamen, and pistil, in the hummingbird-pollinated monkeyflower species M. verbenaceus. M. verbenaceus is part of the Mimulus lewisii species complex, a powerful new model for developmental genetics and evo-devo studies of pollinator-associated floral traits [25]. We chose this species because it has a small stature but large, showy flowers (Fig. 1), a short generation time, and relatively small genome (~500 MB) with high-quality genomic resources (http://mimubase.org/), and most importantly, is readily amenable to Agrobacterium-mediated stable transformation [26].
Figure 1.

Phenotypes of the Mimulus verbenaceus inbred line MvBL. (a) Side view of a 10-week old plant. (b) Face view of the MvBL flower. d: dorsal petal lobe; l: lateral; v: ventral. (c) Back view of the MvBL flower. Lengths of both the dorsal corolla tube (DCT) and the lateral corolla tube (LCT) were measured in this study.
Choosing the appropriate candidate genes, however, was not trivial. Although a large number of genes are known to control plant organ size in Arabidopsis [27–29], few genes are known to specifically control floral organ length with little effect on other parts of the plant, especially in sympetalous species. Given that plant organ elongation often involves coordinated actions of gibberellin (GA), brassinosteroid (BR), and auxin, we reasoned that an “integrator” of these hormone signaling pathways might be a good candidate. In particular, if this integrator gene has multiple functionally redundant paralogs in the genome, one of these gene family members could be preferentially expressed in floral organs, thereby regulating the elongation of multiple floral organs with minimal effect on vegetative tissues. The PACLOBUTRAZOL RESISTANCE (PRE) gene family fits these criteria. There are several closely related PRE paralogs in most plant genomes [30–32]. They encode small helix–loop–helix (HLH) proteins (90 ~ 110 amino acids) that act downstream of and integrate GA, BR, and auxin signaling to promote cell elongation in Arabidopsis [30, 33–35], tomato (Solanum lycopersicum) [36], cotton (Gossypium spp.) [32], and rice (Oryza sativa) [31, 35, 37]. As such, we considered them promising candidates in the modular regulation of floral organ elongation.
Here we report the characterization of PRE homologs in M. verbenaceus and transgenic perturbation of MvPRE1, the only homolog preferentially expressed in floral organs. Our results demonstrate that MvPRE1 positively regulates corolla tube length, petal lobe length, stamen length, and pistil length, but not calyx or leaf length. We suggest that genes like MvPRE1 may occupy a specialized hub position [38] in a genetic network and regulate multiple traits in a functional module while having little effect on other modules, and thus provide the suitable genetic materials for the evolution of phenotypic integration and modularity through pleiotropy.
Results
MvPRE1 is the major PRE-like gene expressed during flower development in M. verbenaceus
We identified seven PRE-like genes, MvPRE1-MvPRE7, from the MvBL genome by TBLASTN searches. They encode proteins that are 91 ~ 105 a.a. long and share sequence similarity with AtPRE1 across the entire length (Fig. 2a; Supplementary File S1). To determine which MvPRE genes may function in flower development, we performed RT-PCR across four stages of floral bud development (i.e. 5-mm, 15-mm, 20-mm, and 35-mm), and found that MvPRE1 is the only PRE-like gene with readily detectable expression across multiple floral developmental stages, with peak expression level at the 20-mm stage (Fig. 2b) when the corolla tube is rapidly growing through cell elongation [39]. Phylogenetic analysis suggests that MvPRE1 is closely related to tomato SlPRE1/Style2.1 and SlPRE2 (Fig. 2a; Supplementary Fig. S1). We further examined the spatial expression pattern of MvPRE1 in vegetative tissues and various floral organs dissected from 20-mm floral buds, and observed that MvPRE1 is highly expressed in the corolla tube, petal lobe, filament, and style, with intermediate expression levels in the leaf and stem, weak expression in the calyx and ovary, and no detectable expression in the anther and root (Fig. 2c).
Figure 2.
Expression analysis of PRE1-like genes in Mimulus verbenaceus. (a) Phylogenetic tree based on parsimony analysis, showing relationships of PRE1-like proteins in M. verbenaceus, Arabidopsis, tomato, and rice. Bootstrap support values >50% are indicated along the branches. The maximum likelihood tree (Supplementary Fig. S1) shows a very similar topology. (b) RT-PCR of MvPRE genes (28 cycles) at four different floral bud stages in MvBL. Genomic DNA (gDNA) was used as positive control for primer quality and water was used as negative control. MvUBC (27 cycles) was used as a reference gene. (c) RT-PCR of MvPRE1 (28 cycles) in root, stem, leaf, and various floral tissues dissected from 20-mm floral buds. Root, stem, and leaf tissues were harvested from 5-week old seedlings. MvUBC (28 cycles) was used as a reference gene.
MvPRE1 knockdown causes coordinated decreases in the lengths of corolla tube, style, and stamen
The spatial pattern of MvPRE1 expression suggests that it may play an important role in the elongation of the corolla, stamen filament, and style. To test this hypothesis, we knocked down the expression of MvPRE1 by transforming MvBL with an RNAi plasmid. We obtained five stable transgenic RNAi lines, three of which showed strong phenotypes and the other two showed intermediate phenotypes. Compared to the wild type, the three strong RNAi lines (RNAi-1, RNAi-3, RNAi-4) exhibited a moderately shorter stature (Fig. 3a) and slightly longer leaves (Fig. 3b; Supplementary Fig. S2a), but no obvious change in other vegetative characters. Intriguingly, the three floral traits that often show strong genetic correlations in sympetalous species (i.e. corolla tube length, stamen length, and pistil length) exhibited coordinated changes in these RNAi lines: the corolla tube, stamen, and pistil are reduced in length by ~20%, 28%, and 21%, respectively, compared to the wild type (Fig. 3c-e). Petal lobe length was also reduced to a similar degree (~20%), but calyx length showed little change (Fig. 3e). These results are consistent with the tissue-specific expression pattern of MvPRE1 in the wild-type flower, in that MvPRE1 has relatively high expression levels in the corolla tube, petal lobe, stamen filament, and style, but low expression levels in the leaf and calyx (Fig. 2c). To verify that these phenotypes are indeed caused by the knockdown of MvPRE1, we performed RT-qPCR on whole floral buds at the 20-mm stage and found that the expression level of MvPRE1 decreased nearly 10-fold in the strong RNAi lines (Fig. 3f). In addition, the different phenotypic strengths displayed by the intermediate and strong RNAi lines furnished an opportunity to test phenotypic correlation quantitatively (Supplementary Fig. S3). As expected, the corolla tube length, stamen length, and pistil length were tightly correlated with each other (Supplementary Fig. S3f). The internode length was also correlated with the three floral traits, but less strongly than that among the three floral traits. By contrast, leaf length showed only weak correlation with internode length, and no correlation with any of the three floral traits (Supplementary Fig. S3f). Taken together, these results suggest that MvPRE1 coordinately regulates the length of multiple pollinator-associated floral traits (i.e. corolla tube, petal lobe, stamen, and style), but plays little role in calyx or leaf elongation in M. verbenaceus.
Figure 3.

Phenotypes of MvPRE1 RNAi transgenics. (a) Side view of the whole plant of wild type (WT) and three strong RNAi lines. The WT, RNAi-1, and RNAi-3 plants were 11-week old; the RNAi-4 plant was 10-week old. (b) The largest leaf (the 4th or 5th node on the main stem of 12-week old plants). (c and d) Side view of the whole flowers (c) or flowers with part of the corolla removed to expose the stamens and stigmas (d). Genotypes in (b-d) are shown in the same order as in (a). (e) Length measurements (n = 10 for each genotype). DCT: dorsal corolla tube; LCT: lateral corolla tube; VPL: ventral petal lobe. Error bars are 1 SD. (f) Relative transcript level of MvPRE1 in 20-mm whole floral buds, as determined by RT-qPCR. Error bars are 1SD from three biological replicates. Asterisks indicate differences from the wild type (WT) (* p < 0.05, ** p < 0.01, student’s t test).
MvPRE1 overexpression leads to increases in corolla tube and stamen lengths, but not pistil length
Given that knockdown of MvPRE1 in MvBL causes decreases in the lengths of the corolla tube, stamen, pistil, and petal lobe, we expected that overexpression of MvPRE1 would increase the lengths of these floral organs, and maybe even increase the length of calyx, where the endogenous expression level of MvPRE1 is low. To test these predictions, we transformed MvBL with a 35S:MvPRE1-YFP plasmid. We obtained 40 stable transgenic lines, 11 of which showed obvious phenotypes and three (OE-28, OE-6, and OE-10) were selected for further analysis. As expected, corolla tube and stamen lengths increased significantly in the overexpression lines compared to the wild type (Fig. 4c-e). However, pistil length did not change (Fig. 4e). As a result, the anthers are clearly positioned above the stigma in the overexpression lines, whereas in the wild type the anthers are at similar height to the stigma (Fig. 4d). We did not observe any obvious change in petal lobe or calyx length either (Fig. 4e). The overexpression lines also showed changes in vegetative tissues: the whole plant appears less robust, and leaves are shorter and narrower than the wild type (Fig. 4a,b; Supplementary Fig. S2b). RT-qPCR experiments verified that the expression levels of MvPRE1 increased 3 ~ 4-fold in the three selected overexpression lines (Fig. 4f). The 35S:MvPRE1-YFP transgene also allowed us to examine subcellular localization of the MvPRE1 proteins, which are predominantly localized in the nucleus, with weaker YFP signals also detectable in the cytosol (Supplementary Fig. S4). This pattern of subcellular localization is very similar to AtPRE1 and AtPRE3/ATBS1 in Arabidopsis [30, 34]. Taken together, these results further demonstrate that MvPRE1 positively regulates elongation of some floral organs, but its function is tissue dependent, as it appears to have no effect on the calyx and have negative effect on leaf size.
Figure 4.

Phenotypes of MvPRE1 overexpression transgenics. (a) Side view of 11-week old whole plants of the wild type (WT) and three strong overexpression lines. (b) The largest leaf (the 4th or 5th node on the main stem of 12-week old plants). (c and d) Side view of the whole flowers (c) or flowers with part of the corolla removed to expose the stamens and stigmas (d). Genotypes in (b-d) are shown in the same order as in (a). (e) Length measurements (n = 10 for each genotype). DCT: dorsal corolla tube; LCT: lateral corolla tube; VPL: ventral petal lobe. Error bars are 1 SD. (f) Relative transcript level of MvPRE1 in 20-mm whole floral buds, as determined by RT-qPCR. Error bars are 1SD from three biological replicates. Asterisks indicate differences from the wild type (WT) (* p < 0.05, ** p < 0.01, student’s t test).
MvPRE1 promotes cell elongation in M. verbenaceus flowers
To determine whether the floral organ length changes in the MvPRE1 RNAi and overexpression lines are due to change in cell number or cell length, we profiled cell number and size along the dorsal side of the corolla tube of open flowers from the wild type (MvBL), RNAi line 4 (RNAi-4), and overexpression line 10 (OE-10). Consistent with a previous study [39], we found that in the wild-type MvBL, cell length increases gradually from the base of the corolla tube to the stamen insertion site, then plateaus for ~50 cells with maximal length before gradually decreasing towards the distal end (Fig. 5a,d). Accordingly, cell shape changes from more rounded at the base to elongated rectangular in the plateau zone to puzzle-shaped at the distal end (Fig. 5a). RNAi-4 and OE-10 showed the same pattern of cell length variation along the corolla tube and had similar cell numbers to the wild type (Fig. 5b-d). The main difference is that RNAi-4 has shorter cells than the wild type, especially in the zone near the stamen insertion site (from the 50th to the 150th cell), and OE-10 has longer cells (Fig. 5d; Supplementary Table S1). These results suggest that MvPRE1 regulates floral organ length by promoting cell elongation instead of cell division, consistent with the known function of its homologs in Arabidopsis, rice, and cotton [32, 33, 35].
Figure 5.
Cell profiles along the dorsal side of the corolla tubes in the wild type (a), RNAi-4 (b), and OE-10 (c). Individual images show the morphology of cells at the base of the corolla tube (left), near the stamen insertion site (center), and at the top of the corolla tube (right). Scale bars are 100 μm. (d) Cell number and length along the outer (abaxial) epidermis of the dorsal corolla tube. The asterisks indicated stamen insertion sites. Error bars are 1SE. N = 3 for each genotype.
Discussion
In this study, we have shown that knocking down the expression of a PRE-like gene in the hummingbird-pollinated monkeyflower species M. verbenaceus caused simultaneous decreases in the lengths of corolla tube, petal lobe, stamen, and pistil, but little change in calyx and leaf lengths or organ width (Fig. 3b-e; Supplementary Fig. S2a). For sympetalous species, the lengths of corolla tube, stamen, and pistil often show strong phenotypic and genetic correlation independent of other floral or vegetative traits, and these organs are considered to be a functional module [10–18]. Because the corolla tube can direct or limit pollinator entrance, integration of tube, stamen, and pistil lengths maintains the anthers and stigma in the appropriate position for contacting the pollinator [40, 41]. Moreover, coordination of the relative positions of the anthers and stigma (herkogamy) mediates the efficacy of pollen transfer [17, 42, 43]. Pleiotropy has long been implicated in such patterns of modular integration in sympetalous species [9, 44], but empirical evidence based on actual gene function is lacking. Our demonstration of the modular regulation of these traits by a single gene supports the role of pleiotropy in generating intra-floral integration.
The overexpression experiment suggests that the role of MvPRE1 in organ elongation depends on the developmental context. While downregulation of MvPRE1 affected all organs in the putative functional module, overexpression of MvPRE1 in M. verbenaceus led to increased corolla tube and stamen length, as expected, but did not change pistil or calyx length (Fig. 4c-e). In the leaf, overexpression of MvPRE1 even had the opposite effect: both leaf length and width were reduced (Fig. 4b; Supplementary Fig. S2b). Notably, AtPRE1 overexpression in Arabidopsis also resulted in narrower leaves [30], indicating that the leaf phenotypes we observed are not an oddity unique to M. verbenaceus.
In Arabidopsis, AtPRE1 is part of a triantagonistic HLH/bHLH system that controls cell elongation. In this system, the bHLH ACTIVATOR FOR CELL ELONGATION (ACE) transcription factors bind to the promoters and directly activate EXPANSIN genes, leading to cell elongation. A HLH protein, IBH1, interacts with ACEs and interferes with the DNA-binding activities of ACEs, thereby negatively regulating cell elongation. PRE1 is the third HLH component and its interaction with IBH1 releases ACEs, restoring the transcriptional activities of ACEs [33, 45]. The balance of these three HLH/bHLH proteins is important to determine the ultimate cell length. Our cell number and length profiling (Fig. 5) demonstrated that MvPRE1 promotes cell elongation in M. verbenaceus, just as the PRE-like proteins in other plants. Assuming MvPRE1 also functions in a triantagonistic HLH/bHLH system, one possible explanation of the different effects of MvPRE1 overexpression on the corolla tube, stamen, and pistil is the different amounts of MvIBH1 and MvACEs in these floral organs. If the endogenous levels of MvIBH1 are relatively high in the corolla tube and stamen, then providing more MvPRE1 by the transgene can release more MvACEs from MvIBH1 and consequently produce longer cells in the corolla tube and stamens. By contrast, if MvIBH1 abundance is already low in the pistil, providing additional MvPRE1 will not make a difference. The lack of calyx phenotypes in either the MvPRE1 RNAi or overexpression lines suggests that calyx length may be regulated by mechanisms independent of this HLH/bHLH system. The opposite effect of MvPRE1 overexpression on the leaf is puzzling.
Regardless of the exact underlying mechanisms, the fact that transgenic manipulations of MvPRE1 trigger correlated responses of the three floral organs (corolla, stamen, and pistil) that are distinct from the leaf or calyx is evolutionarily and functionally significant. An important criterion of modularity is that the characters within a module are tightly correlated with each other, but less strongly correlated with those outside of the module [1, 8, 22]. MvPRE1 provides an example of how this can be realized by the pleiotropic effect of a single gene. Although manipulation of MvPRE1 did not exclusively affect the organs of the putative functional module, the effects on the serially homologous calyx and vegetative leaves were far less (Fig. 3; Supplementary Fig. S3).
Pleiotropy and modularity may have played a critical role in the evolutionary diversification of organismal forms in general [21, 22, 24] and flower form and function in particular [9, 44], because selection on one trait will result in correlated changes in functionally related traits. Indeed, floral traits associated with pollinator shifts have been subjected to quantitative trait locus (QTL) analysis in a wide range of sympetalous taxa, including Mimulus [11, 46], Leptosiphon [47], Ipomopsis [48], Penstemon [18], Petunia [49], and Ipomoea [50]. These studies showed that corolla tube, stamen, and style lengths are not only genetically correlated but also frequently co-localized to the same QTL, consistent with a role of pleiotropic QTLs underlying intra-floral integration and in facilitating rapid floral form diversification.
It should be noted that our results on MvPRE1 only show that pleiotropy can produce intra-floral integration, it does not show pleiotropy actually did cause intra-floral integration during Mimulus evolution. To demonstrate the latter, one would need to first identify the presumptive gene that causes intra- or inter-specific covariation of traits that constitute a functional module, then demonstrate the phenotypic consequence and pleiotropic effect of the causal gene by generating high-resolution introgression lines (i.e. allelic substitution at single-gene level between the two forms) or direct transgenic manipulations. Unfortunately, although efforts in identifying causal genes responsible for intra- or inter-specific flower color variation in Mimulus were successful [51–56], progress in genetic mapping of floral organ length variation has been slow, partly because organ length tends to be more polygenic than pigmentation traits [11, 46, 57]. However, with chromosome-level genome assemblies for multiple Mimulus species becoming available recently (http://mimubase.org/), identification of casual genes underlying floral organ length variation should be soon within reach.
This study also raises the question of how many other genes may behave like MvPRE1 in modular regulation of floral traits. The majority of genes reported to control floral organ size in Arabidopsis also tend to have strong pleiotropic effects in vegetative tissues [27–29]. We still know very little about which genes specifically control floral organ size, shape, number, and spatial arrangement without affecting other plant parts, especially in non-Arabidopsis species. However, it is not difficult to envision the general properties of such genes: (i) They are likely “hub” genes in a gene regulatory network to control the development of multiple traits [23]; (ii) They should have closely related paralogs in a genome to allow parcellation (e.g. through sub-functionalization or evolution of tissue specific expression patterns) [22]. Given the impressive pace of technological improvements (e.g. long-read sequencing, genome editing) in the past few years, both classical model systems for floral organ elaboration like snapdragon [58] or petunia [59] and more recently developed plant systems such as Aquilegia [60], Sinningia [61], Torenia [62], Mimulus [25], and Nigella [63] are becoming more and more accessible to detailed genetic and developmental analyses. We are optimistic that studies in these systems will reveal the genetic networks that can regulate multiple floral traits in a functional module but meanwhile have little effect on other modules, and that investigations on the role of pleiotropy in the evolution of floral integration and intra-floral modularity will begin to focus on specific genes instead of presumptive “loci” without any knowledge of their molecular identities.
Materials and methods
Plant materials and growth conditions
The M. verbenaceus inbred line MvBL (wild type) was previously described in [26]. All plants were grown in the University of Connecticut research greenhouses under natural light supplemented with sodium vapor lamps, ensuring a 16-hr day length with a light intensity of 110–160 μmol·m−2·s−1. Plants were fertilized 2–3 timesper week.
Sequence retrieval and phylogenetic analysis
The amino acid (a.a.) sequence of Arabidopsis AtPRE1 (AT5G39860, 92 a.a.) was used as query to retrieve the M. verbenaceus homologs from the MvBL genome (version 2.0; http://mimubase.org/). TBLASTN searches, as implemented in the program TARGeT (http://new-cizin.cyverse.org/) [64], resulted in seven genes encoding proteins that are 91–105 a.a. long and share sequence similarity with AtPRE1 across the entire length. We named these genes MvPRE1-MvPRE7. Multiple sequence alignment (Supplementary File S1) of all PRE-like proteins from Arabidopsis, tomato, rice, and M. verbenaceus were performed in AliView [65]. Phylogenetic analyses of the amino acid sequence alignment were performed using both the parsimony criterion and the maximum likelihood method. Parsimony analysis was performed using PAUP* version 4.0a168 [66], with 200 random stepwise addition replicates and TBR branch swapping with MULTREES option effective. Clade support was determined by bootstrap analyses of 200 replicates. Maximum likelihood analysis was performed using MEGA X [67] with the JTT amino acid substitution model and 1000 bootstrap replicates.
Expression analysis using RT-(q)PCR
RNA extraction and cDNA synthesis were as described in [53]. Briefly, total RNA was extracted using the Spectrum Plant Total RNA Kit (Sigma-Aldrich). cDNA was synthesized from 1 μg of the DNaseI (Invitrogen) treated RNA using the SuperScript III First-Strand Synthesis System (Invitrogen) or GoScript™ Reverse Transcription Mix (Promega), then diluted 10-fold before RT-(q)PCR. RT-PCR was performed to determine the expression patterns of all seven MvPRE genes in different floral developmental stages of MvBL and the expression pattern of MvPRE1 in various tissue types. The M. verbenaceus ortholog of Arabidopsis ubiquitin-conjugating enzyme gene (At5g25760), MvUBC, was used as a reference gene following [53]. Whole floral buds at 20-mm stage were used for assaying relative transcript levels of MvPRE1 in wild-type MvBL and transgenic lines by RT-qPCR, which was performed using iQ SYBR Green Supermix (Bio-Rad) and a CFX96 Touch Real-Time PCR Detection System (Bio-Rad). For RT-qPCR experiments, three biological replicates were included for each genotype. Each replicate was a distinct 20-mm floral bud. The cDNA samples were amplified for 40 cycles of 95°C for 15 s and 60°C for 20 s. Amplification efficiencies for each primer pair were calculated using critical threshold values obtained from a dilution series (1:4:1:8:1:16:1:32) of pooled cDNAs. Relative expression of MvPRE1 compared to the reference gene (MvUBC) was estimated using the formula (Eref) CP (ref)/(Etarget) CP (target). The seven MvPRE paralogs are so divergent from each other at the nucleotide level (Supplementary Figure S5) that designing paralog-specific primers was straightforward. To further verify the specificity of primers, each primer was BLASTed against the MvBL genome in the TARGeT platform (http://new-cizin.cyverse.org/) [64] with an E-value cut-off of 0.1, ensuring that each primer has only one match in the genome. The primers used for RT-(q) PCR were listed in Supplementary Table S2.
Plasmid construction and plant transformation
An RNA interference (RNAi) plasmid was constructed to knock down the expression of MvPRE1 in MvBL. Since the MvPRE1 gene is quite small, and BLASTing the full-length coding sequence (CDS) (282 bp, without the stop codon) against the MvBL genome found no other genomic regions that perfectly match this CDS for a contiguous block longer than 16 bp (i.e. the MvPRE1 sequence is highly specific at the nucleotide level), we used the entire CDS for the RNAi plasmid. To this end, we first amplified the CDS from MvBL cDNA with the Phusion High-Fidelity DNA Polymerase (New England Biolabs), cloned it into the pDONOR207 vector (Invitrogen) by BP cloning reaction, and then cloned it into the pB7GWIWG2(I) vector [68] in both sense and antisense directions by LR recombination.
To build the overexpression plasmid, the full-length MvPRE1 CDS (without the stop codon) was first cloned into the pDONOR207 vector (Invitrogen) by BP reaction, and then cloned into the destination vector pEarleyGate 101 [69] by LR recombination. The pEarleyGate 101 vector drives transgene expression by the cauliflower mosaic virus (CaMV) 35S promoter and contains the YFP CDS fused in frame with the 3′ end of the gene of interest (MvPRE1).
After verifying the plasmid sequence by Sanger sequencing, each final plasmid was transformed into Agrobacterum tumefaciens strain GV3101 and then transformed into the plants following the “floral spray/vacuum infiltration” protocol described in [53]. The primers used for plasmid construction were listed in Supplementary Table S2.
Phenotypic analysis
To quantify the phenotypic differences among wild type, MvPRE1 RNAi, and MvPRE1 overexpression lines, we measured several floral traits using digital calipers, including lateral corolla tube (LCT) length, dorsal corolla tube (DCT) length, ventral petal lobe (VPL) length and width (Fig. 1b,c), pistil length (from the receptacle to the stigma), stamen length (from the receptacle to the anther), and calyx length. Ten fully open flowers were measured for each genotype. We also measured the length and width of the largest leaves (usually the fourth pair on the main stem) of mature plants. To determine whether the phenotypic differences between the wild type and the transgenic lines are due to cell number or cell size, we profiled the cell number and cell length along the dorsal side of the corolla tube (Fig. 1c) of mature flowers using a compound light microscope, following [39].
Acknowledgements
We thank Matt Opel and Meghan Moriarty for plant care in the UConn EEB Research Glasshouses, Dr. Mei Liang for assistance in confocal imaging, and Vandana Gurung for assistance in cell measurements. This work was supported by National Science Foundation grants IOS-1755373 and IOS-1827645 to Y-W.Y. H.C. was partially supported by a fellowship from China Scholarship Council.
Author contributions
All authors designed the research; H.C., Z.X., and B.D. performed the experiments; H.C. and Y-W.Y. analyzed the data; H.C., P.K.D., and Y-W.Y. wrote the manuscript with input from all authors.
Data Availability
The sequence data that supports the findings of this study are available in Mimubase at http://mimubase.org/ with the following accession numbers: MvPRE1 (MV4G027200), MvPRE2 (MV3G160600), MvPRE3 (MV5G214300), MvPRE4 (MV6G017700), MvPRE5 (MV8G078700), MvPRE6 (MV5G214500), MvPRE7 (MV8G141900).
Conflict of interest
The authors declare no conflict of interest.
Supplementary data
Supplementary data is available at Horticulture Research online.
Supplementary Material
Contributor Information
Hongfei Chen, Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT 06269, USA.
Zheng Xiao, Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT 06269, USA; School of Landscape Architecture, Zhejiang A&F University, Hangzhou 311300, China.
Baoqing Ding, Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT 06269, USA; College of Horticulture, Nanjing Agricultural University, Nanjing 210095, China.
Pamela K Diggle, Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT 06269, USA.
Yao-Wu Yuan, Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT 06269, USA; Institute for Systems Genomics, University of Connecticut, Storrs, CT 06269, USA.
References
- 1. Berg RL. The ecological significance of correlation pleiades. Evolution. 1960;14:171–80. [Google Scholar]
- 2. Conner JK. Genetic mechanisms of floral trait correlations in a natural population. Nature. 2002;420:407–10. [DOI] [PubMed] [Google Scholar]
- 3. Edwards CE, Weinig C. The quantitative-genetic and QTL architecture of trait integration and modularity in Brassica rapa across simulated seasonal settings. Heredity. 2011;106:661–77. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Fornoni J, Boege K, Pérez-Ishiwara Ret al. A comparison of floral integration between selfing and outcrossing species: a meta-analysis. Ann Bot. 2016;117:299–306. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Juenger T, Perez-Perez JM, Bernal Set al. Quantitative trait loci mapping of floral and leaf morphology traits in Arabidopsis thaliana: evidence for modular genetic architecture. Evol Dev. 2005;7:259–71. [DOI] [PubMed] [Google Scholar]
- 6. Rose JP, Sytsma KJ. Complex interactions underlie the correlated evolution of floral traits and their association with pollinators in a clade with diverse pollination systems. Evolution. 2021;75:1431–49. [DOI] [PubMed] [Google Scholar]
- 7. Armbruster WS, Pelabon C, Bolstad GHet al. Integrated phenotypes: understanding trait covariation in plants and animals. Philos Trans R Soc B: Biol Sci. 2014;369:20130245. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Diggle PK. Modularity and intra-floral integration in metameric organisms: plants are more than the sum of their parts. Phil Trans R Soc B. 2014;369:20130253. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Smith SD. Pleiotropy and the evolution of floral integration. New Phytol. 2016;209:80–5. [DOI] [PubMed] [Google Scholar]
- 10. Bissell EK, Diggle PK. Modular genetic architecture of floral morphology in Nicotiana: quantitative genetic and comparative phenotypic approaches to floral integration. J Evol Biol. 2010;23:1744–58. [DOI] [PubMed] [Google Scholar]
- 11. Fishman L, Kelly AJ, Willis JH. Minor quantitative trait loci underlie floral traits associated with mating system divergence in Mimulus. Evolution. 2002;56:2138–55. [DOI] [PubMed] [Google Scholar]
- 12. Feng C, Feng C, Yang Let al. Genetic architecture of quantitative flower and leaf traits in a pair of sympatric sister species of Primulina. Heredity. 2019;122:864–76. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Heywood JS, Michalski JS, McCann BKet al. Genetic and environmental integration of the hawkmoth pollination syndrome in Ruellia humilis (Acanthaceae). Ann Bot. 2017;119:1143–55. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Klinkhamer PGL, Van Der Veen-van Wijk CAM. Genetic variation in floral traits of Echium vulgare. Oikos. 1999;85:515–22. [Google Scholar]
- 15. Kostyun JL, Gibson MJS, King CMet al. A simple genetic architecture and low constraint allow rapid floral evolution in a diverse and recently radiating plant genus. New Phytol. 2019;223:1009–22. [DOI] [PubMed] [Google Scholar]
- 16. Liao IT, Rifkin J, Cao Get al. Modularity and selection of nectar traits in the evolution of the selfing syndrome in Ipomoea lacunosa (Convolvulaceae). New Phytol. 2022;233:1505–19. [DOI] [PubMed] [Google Scholar]
- 17. Rosas-Guerrero V, Quesada M, Armbruster WSet al. Influence of pollination specialization and breeding system on floral integration and phenotypic variation in ipomoea. Evolution. 2011;65:350–64. [DOI] [PubMed] [Google Scholar]
- 18. Wessinger CA, Hileman LC, Rausher MD. Identification of major quantitative trait loci underlying floral pollination syndrome divergence in Penstemon. Phil Trans R Soc B. 2014;369:20130349. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Lande R. The genetic covariance between characters maintained by pleiotropic mutations. Genetics. 1980;94:203–15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Lande R. The genetic correlation between characters maintained by selection, linkage and inbreeding. Genet Res. 1984;44:309–20. [DOI] [PubMed] [Google Scholar]
- 21. Melo D, Porto A, Cheverud JMet al. Modularity: genes, development, and evolution. Annu Rev Ecol Evol Syst. 2016;47:463–86. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Wagner GP, Altenberg L. Perspective: complex adaptations and the evolution of evolvability. Evolution. 1996;50:967–76. [DOI] [PubMed] [Google Scholar]
- 23. Wagner GP, Pavlicev M, Cheverud JM. The road to modularity. Nat Rev Genet. 2007;8:921–31. [DOI] [PubMed] [Google Scholar]
- 24. Wagner GP, Zhang J. The pleiotropic structure of the genotype–phenotype map: the evolvability of complex organisms. Nat Rev Genet. 2011;12:204–13. [DOI] [PubMed] [Google Scholar]
- 25. Yuan Y-W. Monkeyflowers (Mimulus): new model for plant developmental genetics and evo-devo. New Phytol. 2019;222:694–700. [DOI] [PubMed] [Google Scholar]
- 26. Stanley LE, Ding B, Sun Wet al. A tetratricopeptide repeat protein regulates carotenoid biosynthesis and chromoplast development in monkeyflower (Mimulus). Plant Cell. 2020;32:1536–55. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Abraham MC, Metheetrairut C, Irish VF. Natural variation identifies multiple loci controlling petal shape and size in Arabidopsis thaliana. PLoS One. 2013;8:e56743. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Hepworth J, Lenhard M. Regulation of plant lateral-organ growth by modulating cell number and size. Curr Opin Plant Biol. 2014;17:36–42. [DOI] [PubMed] [Google Scholar]
- 29. Krizek BA, Anderson JT. Control of flower size. J Exp Bot. 2013;64:1427–37. [DOI] [PubMed] [Google Scholar]
- 30. Lee S, Lee S, Yang KYet al. Overexpression of PRE1 and its homologous genes activates gibberellin-dependent responses in Arabidopsis thaliana. Plant Cell Physiol. 2006;47:591–600. [DOI] [PubMed] [Google Scholar]
- 31. Tanaka A, Nakagawa H, Tomita Cet al. BRASSINOSTEROID UPREGULATED1, encoding a helix-loop-helix protein, is a novel gene involved in brassinosteroid signaling and controls bending of the lamina joint in rice. Plant Physiol. 2009;151:669–80. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Zhao B, Cao JF, Hu GJet al. Core cis-element variation confers subgenome-biased expression of a transcription factor that functions in cotton fiber elongation. New Phytol. 2018;218:1061–75. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Bai MY, Fan M, Oh Eet al. A triple helix-loop-helix/basic helix-loop-helix cascade controls cell elongation downstream of multiple hormonal and environmental signaling pathways in Arabidopsis. Plant Cell. 2012;24:4917–29. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Wang H, Zhu Y, Fujioka Set al. Regulation of Arabidopsis brassinosteroid signaling by atypical basic helix-loop-helix proteins. Plant Cell. 2009;21:3781–91. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35. Zhang L-Y, Bai M-Y, Wu Jet al. Antagonistic HLH/bHLH transcription factors mediate brassinosteroid regulation of cell elongation and plant development in rice and Arabidopsis. Plant Cell. 2009;21:3767–80. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36. Chen KY, Cong B, Wing Ret al. Changes in regulation of a transcription factor lead to autogamy in cultivated tomatoes. Science. 2007;318:643–5. [DOI] [PubMed] [Google Scholar]
- 37. Heang D, Sassa H. Antagonistic actions of HLH/bHLH proteins are involved in grain length and weight in rice. PLoS One. 2012;7:e31325. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38. Stern DL. Evolution, Development, and the Predictable Genome. Greenwood Village, CO: Roberts and Co. Publishers; 2011. [Google Scholar]
- 39. Gurung V, Yuan YW, Diggle PK. Comparative analysis of corolla tube development across three closely related Mimulus species with different pollination syndromes. Evol Dev. 2021;23:244–55. [DOI] [PubMed] [Google Scholar]
- 40. Conner J, Via S. Patterns of phenotypic and genetic correlations among morphological and life-history traits in wild radish. Evolution. 1993;47:704–11. [DOI] [PubMed] [Google Scholar]
- 41. Armbruster W. Floral integration, modularity, and precision: distinguishing complex adaptations from genetic constraints. In: Pigliucci M, Preston K, eds. Phenotypic Integration: Studying the Ecology and Evolution of Complex Phenotypes. Oxford University Press: New York, 2004,23–49. [Google Scholar]
- 42. Motten AF, Stone JL. Heritability of stigma position and the effect of stigma-anther separation on outcrossing in a predominantly self-fertilizing weed, Datura stramonium (Solanaceae). Am J Bot. 2000;87:339–47. [PubMed] [Google Scholar]
- 43. Opedal ØH, Bolstad GH, Hansen TFet al. The evolvability of herkogamy: quantifying the evolutionary potential of a composite trait. Evolution. 2017;71:1572–86. [DOI] [PubMed] [Google Scholar]
- 44. Wessinger CA, Hileman LC. Accessibility, constraint, and repetition in adaptive floral evolution. Dev Biol. 2016;419:175–83. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45. Ikeda M, Fujiwara S, Mitsuda Net al. A triantagonistic basic helix–loop–helix system regulates cell elongation in Arabidopsis. Plant Cell. 2012;24:4483–97. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46. Bradshaw HD, Otto KG, Frewen BEet al. Quantitative trait loci affecting differences in floral morphology between two species of monkeyflower (Mimulus). Genetics. 1998;149:367–82. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47. Goodwillie C, Ritland C, Ritland K. The genetic basis of floral traits associated with mating system evolution in Leptosiphon (Polemoniaceae): an analysis of quantitative trait loci. Evolution. 2006;60:491–504. [PubMed] [Google Scholar]
- 48. Nakazato T, Rieseberg LH, Wood TE. The genetic basis of speciation in the Giliopsis lineage of Ipomopsis (Polemoniaceae). Heredity. 2013;111:227–37. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49. Hermann K, Klahre U, Venail Jet al. The genetics of reproductive organ morphology in two petunia species with contrasting pollination syndromes. Planta. 2015;241:1241–54. [DOI] [PubMed] [Google Scholar]
- 50. Rifkin JL, Cao G, Rausher MD. Genetic architecture of divergence: the selfing syndrome in Ipomoea lacunosa. Am J Bot. 2021;108:2038–54. [DOI] [PubMed] [Google Scholar]
- 51. Ding B, Patterson EL, Holalu SVet al. Two myb proteins in a self-organizing activator-inhibitor system produce spotted pigmentation patterns. Curr Biol. 2020;30:802–814.e8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52. Streisfeld MA, Young WN, Sobel JM. Divergent selection drives genetic differentiation in an R2R3-MYB transcription factor that contributes to incipient speciation in Mimulus aurantiacus. PLoS Genet. 2013;9:e1003385. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53. Yuan Y-W, Sagawa JM, Young RCet al. Genetic dissection of a major anthocyanin QTL contributing to pollinator-mediated reproductive isolation between sister species of Mimulus. Genetics. 2013;194:255–63. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54. Yuan Y-W, Sagawa JM, Frost Let al. Transcriptional control of floral anthocyanin pigmentation in monkeyflowers (Mimulus). New Phytol. 2014;204:1013–27. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55. Yuan Y-W, Rebocho AB, Sagawa JMet al. Competition between anthocyanin and flavonol biosynthesis produces spatial pattern variation of floral pigments between Mimulus species. Proc Natl Acad Sci U S A. 2016;113:2448–53. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56. Zheng X, Om K, Stanton KAet al. The regulatory network for petal anthocyanin pigmentation is shaped by the MYB5a/NEGAN transcription factor in Mimulus. Genetics. 2021;217:iyaa036. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57. Fishman L, Beardsley PM, Stathos Aet al. The genetic architecture of traits associated with the evolution of self-pollination in Mimulus. New Phytol. 2015;205:907–17. [DOI] [PubMed] [Google Scholar]
- 58. Schwarz-Sommer Z, Davies B, Hudson A. An everlasting pioneer: the story of antirrhinum research. Nat Rev Genet. 2003;4:657–66. [DOI] [PubMed] [Google Scholar]
- 59. Vandenbussche M, Chambrier P, Rodrigues BSet al. Petunia, your next supermodel? Front Plant Sci . 2016;7:72. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60. Kramer EM. Aquilegia: a new model for plant development, ecology, and evolution. Annu Rev Plant Biol. 2009;60:261–77. [DOI] [PubMed] [Google Scholar]
- 61. Dong Y, Liu J, Li PWet al. Evolution of Darwin’s peloric gloxinia (Sinningia speciosa) is caused by a null mutation in a pleiotropic TCP gene. Mol Biol Evol. 2018;35:1901–15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62. Xiao W, Su S, Higashiyama Tet al. A homolog of the ALOG family controls corolla tube differentiation in Torenia fournieri. Development. 2019;146:dev177410. [DOI] [PubMed] [Google Scholar]
- 63. Zhang R, Fu X, Zhao Cet al. Identification of the key regulatory genes involved in elaborate petal development and specialized character formation in Nigella damascena (Ranunculaceae). Plant Cell. 2020;32:3095–112. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64. Han Y, Burnette JM III, Wessler SR. TARGeT: a web-based pipeline for retrieving and characterizing gene and transposable element families from genomic sequences. Nucleic Acids Res. 2009;37:e78. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65. Larsson A. AliView: a fast and lightweight alignment viewer and editor for large datasets. Bioinformatics. 2014;30:3276–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66. Swofford D. PAUP* Phylogenetic Analysis Using Parsimony (* and Other Methods) Version 4.0 b10: Sinauer Associates. Sunderland, MA; 2002. [Google Scholar]
- 67. Kumar S, Stecher G, Li Met al. MEGA X: molecular evolutionary genetics analysis across computing platforms. Mol Biol Evol. 2018;35:1547–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68. Karimi M, Inze D, Depicker A. Gateway vectors for agrobacterium-mediated plant transformation. Trends Plant Sci. 2002;7:193–5. [DOI] [PubMed] [Google Scholar]
- 69. Earley KW, Haag JR, Pontes Oet al. Gateway-compatible vectors for plant functional genomics and proteomics. Plant J. 2006;45:616–29. [DOI] [PubMed] [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
The sequence data that supports the findings of this study are available in Mimubase at http://mimubase.org/ with the following accession numbers: MvPRE1 (MV4G027200), MvPRE2 (MV3G160600), MvPRE3 (MV5G214300), MvPRE4 (MV6G017700), MvPRE5 (MV8G078700), MvPRE6 (MV5G214500), MvPRE7 (MV8G141900).


