Abstract
Premise
Adaptive radiation in ecologically and morphologically diverse plant lineages presents an opportunity to investigate the rapid evolution of novel floral traits. While some types of floral traits, such as flower color, are well characterized, other types of complex morphologies remain understudied. One example is occluded personate flowers, dorsoventrally compressed flowers with obstructed floral passageways, which have evolved in multiple genera, but have only been characterized from snapdragon.
Methods
Our study examined the morphological basis and evolutionary history of personate flowers in a clade of Penstemon species that includes three personate‐flowered species. We characterized floral morphology and inferred phylogenetic relationships for 13 species in this group to examine the evolutionary history of personate flowers. We used phylogenomic tests for introgression to examine whether personate‐flowered lineages have a history of introgression.
Results
Unlike the personate flowers of snapdragon, personate flowers in Penstemon are produced by deep pleats in the ventral petal tissue that curve the ventral petal surface upward, obstructing the floral tube opening. Our phylogenetic tree suggests that personate flowers evolved in two separate lineages. Phylogenomic analyses indicate incomplete lineage sorting and introgression between certain taxa have contributed to phylogenomic discordance; however, we found little evidence of recent introgression between the two personate‐flowered lineages.
Conclusions
Personate flowers in Penstemon have a different morphological basis than those in snapdragon. Personate flowers have evolved multiple times in Penstemon on a rapid evolutionary timescale. The source of genetic variation for repeated shifts may be de novo mutations or pre‐existing variants.
Keywords: flower morphology, incomplete lineage sorting, introgression, Penstemon, personate flowers, phylogenomics, Plantaginaceae, repeated evolution
Adaptive radiation, the rapid evolution of ecologically diverse species within a lineage, is an important driver of biological diversity (Simpson, 1953; Givnish and Sytsma, 2000). Examples of adaptive radiation are ubiquitous across the tree of life, including many examples described in plants (Kapralov et al., 2013; Breitkopf et al., 2015; Nge et al., 2020; Schenk, 2021). Since Darwin described his observations of the finches on the Galapagos Islands (1859), biologists have sought to characterize the features that promote adaptive radiation, including ecological opportunity, patterns of geographic dispersal to new habitats, and genetic mechanisms for phenotypic and species diversification (Schluter, 1996; Losos and Mahler, 2010; Yoder et al., 2010). With the increasing availability of quality genomic resources, an area of considerable current interest is the source of genetic variation that enables the emergence of rapid trait divergence and speciation on a short evolutionary timescale (Walter et al., 2018; Schenk, 2021).
It is now clear that a common feature of adaptive radiation is a signature of phylogenomic discordance, where individual genetic loci exhibit conflicting evolutionary histories (Seehausen, 2004; Wu et al., 2018). Such discordance arises from incomplete lineage sorting (ILS)—when shared ancestral polymorphisms persist within rapidly speciating lineages. When such polymorphisms eventually fix, the resulting pattern of genetic variation will not necessarily reflect the history of speciation events. Incomplete lineage sorting is prevalent when ancestral populations are large and speciation occurs rapidly (Hudson, 1983; Pamilo and Nei, 1988; Suh et al., 2015; Pease et al., 2016; Alexander et al., 2017). Phylogenomic discordance within adaptive radiations can also arise from genetic introgression among hybridizing incipient species (Schluter, 2000). In this scenario, a hybridization event may transfer alleles across species boundaries. Introgression causes the genealogy of a given locus to conflict with the overall species branching pattern, reflecting relatedness between hybridizing lineages. Hybridization is a common feature of adaptive radiations, particularly in groups with incomplete reproductive barriers and geographic proximity (Seehausen, 2004).
Although ILS and introgression both generate discordance among loci, the two processes leave distinct phylogenomic signatures, allowing them to be disentangled (Degnan and Rosenberg, 2009; Hibbins and Hahn, 2022). With ILS, the two possible discordant topologies for a given three‐taxon subtree will occur with equal frequencies across the genome, and divergence times between alleles will be deep, pre‐dating the most recent speciation events. With introgression, one of the two discordant topologies will be disproportionately observed in the genome, reflecting relatedness of introgressing lineages. In addition, divergence times between affected sequences will be shallow, reflecting the post‐speciation introgression event.
Both processes have the potential to shape patterns of phenotypic evolution within adaptive radiations. If ILS or introgression affects an allele that causes trait divergence, the resulting phylogenetic pattern of trait evolution will be incongruent with the species tree and will potentially suggest convergent evolution (multiple evolutionary transitions), a phenomenon termed hemiplasy (Avise and Robinson, 2008; Hibbins et al., 2020). Furthermore, introgression in particular has the potential to enable novel sets of alleles to combine within descendent species, potentially fueling phenotypic diversification. For example, in African rift lake cichlids, hybridization events have generated diversity in physical, behavioral, and ecological traits (Meyer et al., 1996; Urban et al., 2021; Meier et al., 2023). Similarly, in Darwin's finches, hybridization has reshuffled ancestral haplotypes into novel combinations, generating the observed phenotypic diversity across species (Rubin et al., 2022).
The spectacular diversity in floral form across flowering plants reflects, in part, adaptive radiation within specific lineages (Schenk, 2021). Much attention has been paid to conspicuous floral traits such as flower color, symmetry, floral dimensions, and mating systems. In addition to these well‐studied traits, diverse complex floral shapes have also emerged in adaptive radiations. For example, the genus Aquilegia (70 species; Munz, 1946) represents an adaptive radiation driven by the evolution of a key floral innovation—nectar spurs (Ree, 2005)—that has likely fueled diversification through pollinator‐mediated adaptation and speciation (Hodges and Arnold, 1995). The simple genetic architecture underlying the color and morphology of nectar spurs as well as the colocalization of the genetic loci responsible for these traits (Hodges et al., 2002) likely facilitated Aquilegia's rapid diversification.
Yet many floral morphological traits remain understudied, despite their recurrent evolution. One mysterious floral trait is personate flower shape. Personate flowers are characterized by an upward bulge in the lower petal lobes that fully obstructs or “occludes” the floral passageway (Weberling, 1992). Such flowers are best characterized in snapdragons (Antirrhinum), where the personate floral morphology is achieved by a floral hinge formed in the tissue where the upper and lower petal lobes meet (Appendix S1). This morphological innovation apparently acts to protect nectar by filtering visitation to effective types of pollinators (Weberling, 1992). Personate flowers are evolutionarily constrained in snapdragons—all Antirrhinum species have this floral type. However, there is variation in this trait across the tribe Antirrhineae (29 genera within family Plantaginaceae), where four genera contain species‐level variation in floral type, categorized into three types: fully occluded (personate), partially occluded, and not occluded (“open”) flowers (Guzmán et al., 2015). Personate flowers were inferred to be the ancestral state in this tribe with an average of 6.91 and 1.5 transitions to partially occluded and open lineages, respectively, suggesting that the loss of personate flowers is evolutionarily labile at the species level (Guzmán et al., 2015). In addition to Antirrhineae, personate flowers have evolved independently in several other plant lineages within Plantaginaceae such as Chelone and Penstemon. This repeated evolution suggests there is likely an adaptive advantage for personate flowers, making this an attractive trait for understanding floral morphological innovation.
The North American wildflower genus Penstemon includes about 270 species (Wolfe et al., 2006, 2021). Macroevolutionary analyses suggest Penstemon exhibits classic patterns of adaptive radiation, with extremely high diversification rates over the past 2.5 million years (Wolfe et al., 2021). The geographic origin of Penstemon is inferred to be in the western United States, and its radiation across the continent has likely involved repeated dispersal through founder events (Wolfe et al., 2006, 2021). Phylogenomic discordance is pervasive in Penstemon, likely due to both ILS and introgression, because hybridization is common in the genus (Wilson and Valenzuela, 2002; Cardona et al., 2020; Stone and Wessinger, 2024).
Penstemon displays tremendous ecological diversity, including diversification in floral traits. Most species are pollinated by bees, and the genus is well studied for its convergent evolution of hummingbird pollination from bee pollination (Castellanos et al., 2004; Wilson et al., 2006, 2007; Wessinger et al., 2019). However, there is a large amount of diversity within the bee‐pollinated species, including variation in flower size, shape, and color. Personate flowers are a rare novel flower type in the genus (five species) and yet have repeatedly evolved from non‐personate ancestors in two Penstemon lineages. Subgenus Dasanthera includes two personate species (P. lyallii A. Gray and P. personatus D.D. Keck), and section Penstemon subsection Penstemon (from here on, subsect. Penstemon) includes three personate species: P. hirsutus (L.) Willd., P. oklahomensis Pennell, and P. tenuiflorus Pennell.
The last three species are diploid members of a largely eastern clade within Penstemon that is thought to be the most recent expansion within the genus; biogeographic modeling inferred that the clade expanded from the Appalachian Mountains into the southern interior lowlands and coastal plains during the past 1–0.5 million years (Wolfe et al., 2021). The evolutionary relationships among subsect. Penstemon species are especially understudied; therefore, it is unclear whether the three personate species are monophyletic or have evolved several times. Wolfe and colleagues (2006, 2021) inferred a genuswide phylogeny for Penstemon; however, the sampling was incomplete for certain sections, including subsect. Penstemon. In particular, the tree generated by Wolfe and colleagues (2021) was based on 43 nuclear genes with samples from only two of the three personate species (P. hirsutus and P. oklahomensis), with the finding that they were not sister taxa. At face value, this result suggests that personate flowers evolved multiple times within this clade. However, this tree had fairly low support.
In this study, we characterized the evolution of personate flowers in subsect. Penstemon to determine the number of evolutionary origins of this trait. To do so, we identified the morphological basis of floral shape variation within this clade, estimated phylogenetic relatedness using whole‐genome resequencing data for all diploid species of this subsection, and traced the evolutionary history of personate flowers in the group. Additionally, we report a new chromosome‐level and annotated de novo genome assembly for P. smallii A. Heller. We found that personate flowers in eastern Penstemon species have a different morphological basis than the well‐studied personate snapdragon (Antirrhinum). Our phylogenomic results showed that personate flowers evolved in two lineages in sect. Penstemon, suggesting multiple origins. However, we identified significant phylogenomic discordance across most internal branches of the phylogeny. We therefore performed phylogenetic tests of introgression to investigate the potential role of introgressive hybridization on the evolution of personate flowers. Signals of allele sharing between personate lineages appeared primarily consistent with ILS, although we cannot rule out a history of introgression. Overall, our results suggest that rapid speciation events, introgression, and geographic dispersal eastward have shaped the evolutionary history of subsect. Penstemon species.
MATERIALS AND METHODS
Study system and sampling
Subsect. Penstemon includes 17 species that range from the Great Plains region to the East Coast of the United States (Appendix S2). The 17 species vary in ploidy: Most are diploid, but four are known polyploids (P. calycosus Small, P. deamii Pennell, P. digitalis Nutt. ex Sims, and P. laevigatus Aiton) with open flowers that form a monophyletic group (Wolfe et al., 2021). We excluded these four species and P. kralii D. Estes, a likely polyploid related to these four. The remaining diploid species exhibit corolla shape variation that includes open, tubular, and personate flowers, as described by Freeman (2019) and Pennell (1935) (Figure 1, Table 1). The three species with personate flowers display flowers that are completely occluded by upwardly curved ventral petal surfaces. Interestingly, the three personate species share additional floral traits: white or pale flower color, lack of nectar guides, and an incredibly hairy, yellow staminode (Figure 1E–G, Table 1; Appendix S2), indicating that a suite of correlated traits accompany personate flowers in the eastern subsect. Penstemon clade. By contrast, the species with open (not occluded) corollas have purple flowers with bold nectar guides and display wide openings with sturdy lower lip petals for bees to land on (Figure 1A–B, Table 1; Appendix S2). The species with tubular flowers have flowers that are only partially occluded by the ventral petal surface and tend to be variable in flower color, nectar guides, and flower shape (Figure 1C,D, Table 1; Appendix S2).
Figure 1.

Photographs of Penstemon subsect. Penstemon species with open, tubular and personate flowers. Lateral photos of (A) P. dissectus (open); (B) P. smallii (open); (C) P. australis (tubular); (D) P. pallidus (tubular); three personate species (E) P. hirsutus, (F) P. tenuiflorus, (G) P. oklahomensis; and (H) snapdragon (Antirrhinum spp.). Size standardized cross‐section photographs of each personate species (I) P. hirsutus, (J) P. tenuiflorus, (K) P. oklahomensis, and (L) snapdragon. The scale in panels I–K represents 3 mm.
Table 1.
An overview of the morphological features of species within Penstemon subsect. Penstemon species and clade specificity for species included in the Twisst analysis. N/As for specific species indicate omission in morphology analyses or topology weighting. Values of N in morphological analysis columns indicate the number of flowers measured per species.
| Species name | Flower morphology | Average floral obstruction (%) | Average pleat depth | Number of populations re‐sequenced | Twisst clade designation |
|---|---|---|---|---|---|
| P. dissectus sect. Dissecti | Open | 26.58 (N = 2) | N/A | 1 | N/A |
| P. smallii | Open | 26.02 (N = 10) | 15.23% (N = 13) | 2 | N/A |
| P. tenuis | Open | 24.91 (N = 5) | N/A | 1 | N/A |
| P. gracilis | Tubular | N/A | N/A | 1 | N/A |
| P. canescens | Tubular | 42.07 (N = 9) | 24.88% (N = 5) | 3 | Eastern Tubular |
| P. brevisepalus | Tubular | 37.84 (N = 3) | N/A | 1 | Eastern Tubular |
| P. australis | Tubular | 55.17 (N = 14) | 38.58% (N = 5) | 4 | Eastern Tubular |
| P. laxiflorus | Tubular | 45.04 (N = 10) | N/A | 2 | N/A |
| P. arkansanus | Tubular | 27.72 (N = 7) | N/A | 1 | Western Tubular |
| P. pallidus | Tubular | 31.79 (N = 2) | N/A | 2 | Western Tubular |
| P. hirsutus | Personate | 78.07 (N = 11) | 46.47% (N = 5) | 3 | Eastern Personate |
| P. tenuiflorus | Personate | 76.84 (N = 4) | 45.10% (N = 3) | 2 | Eastern Personate |
| P. oklahomensis | Personate | 81.93 (N = 5) | 47.01% (N = 2) | 4 | Western Personate |
We sampled 27 individuals, representing 13 species in subsect. Penstemon (Appendix S3). We included multiple samples for all three species with personate flowers (P. hirsutus, P. oklahomensis, and P. tenuiflorus) and five species with open or tubular flowers (P. australis Small, P. canescens Britton, P. laxiflorus Pennell, P. pallidus Small, and P. smallii). We included P. dissectus Elliott (section Dissecti) as an outgroup.
Morphological assessment
For all individuals, except P. arkansanus Pennell and P. pallidus, we quantified degree of occlusion from size‐standardized photographs of flowers collected in the field. We collected one flower per plant for two to five randomly selected plants within each sampled field population. We quantified relative floral occlusion from side‐view photographs as the percentage of the floral opening height that is blocked by the inward curvature of the ventral petal surface (Figure 3A–C). Because we lacked photos of P. arkansanus and P. pallidus, we downloaded clear side‐view photographs of these species from iNaturalist with observer permission.
Figure 3.

Measurements to quantify flower occlusion from lateral photographs (top row) and pleat depth from cross‐section photographs (middle row). (A) Penstemon smallii, open‐tubed. (B) P. australis, tubular. (C) P. hirsutus, personate. (D) Variation in floral occlusion across several subsect. Penstemon species. Box outline color indicates the floral morphology of each species as described by Pennell (1935) and Freeman (2019)—purple: open, brown: tubular, and yellow: personate—and gray points represent population averages.
For a subset of species (see Table 1), we characterized a key feature of Penstemon personate flowers—the floral tissue on the ventral surface of the corolla tube that folds inward—called pleats. These floral pleats produce the occluded floral shape of Penstemon flowers by forming the upward bulge in the ventral petal surface. To quantify relative pleat depth, we measured the height of floral pleats relative to the height of the floral tube in photographs of cross sections of the floral tube opening just behind the petal lobes (Figure 3A–C). We used the Straight Line tool in ImageJ v2.1.0 (Abràmoff et al., 2004) for all measurements.
P. smallii genome development
We chose to generate a reference genome for P. smallii based on its position in the phylogeny of Wolfe and colleagues (2021). This species is largely outcrossing (T. Depatie, unpublished observations); however, the leaves we harvested and sent to Phase Genomics (Seattle, WA, USA) for sequencing, assembly, and annotation originated from a plant that was the selfed offspring from a plant obtained from Wood Thrush Native Nursery (Floyd, VA, USA). Genomic DNA was extracted using the TaKaRa NucleoBond HMW DNA kit (TaKaRa Bio, San Jose, CA, USA). DNA was sheared to a target size of 15–18 kb and purified using AMPure PB beads (Pacific Biosciences, Menlo Park, CA, USA). A SMRTbell library was prepared with a mode size of approximately 12 kb and an average size of 18 kb, with minimal fragments below 10 kb. This library was sequenced on a PacBio Sequel II system using two SMRT Cells 8 M, generating approximately 990,000 HiFi reads totaling 9 Gb of data. Chromatin conformation capture data was generated using a Phase Genomics Proximo Hi‐C 4.0 Kit. Briefly, intact cells were crosslinked using a formaldehyde solution, digested using the DPNII, DdeI, HinfI, MseI restriction enzymes, and proximity ligated with biotinylated nucleotides. The resulting Hi‐C library was then sequenced on an Illumina NovaSeq generating a total of 113,121,813 150‐bp paired‐end reads.
Hi‐C and PacBio Hifi reads were used in hifiasm (Cheng et al., 2021) with default parameters to generate phased haplotype assembly drafts. Hi‐C reads were aligned to the hifiasm draft assemblies, following the Phase Genomics Proximo Hi‐C Kit recommendations. Briefly, reads were aligned using bwa‐mem (Li, 2013) with the −5SP and −t 8 options specified, and all other options default. SAMBLASTER (Faust and Hall, 2014) was used to flag PCR duplicates for removal. Alignments were then filtered with samtools (Li et al., 2009) using the ‐F 2304 filtering flag to remove non‐primary and secondary alignments. Phase Genomics' Proximo Hi‐C genome scaffolding platform was used to create chromosome‐scale scaffolds following the single‐phase scaffolding procedure described in Bickhart et al. (2017). Juicebox (Rao et al., 2014; Durand et al., 2016) was used to manually correct scaffolding and assembly errors. The resulting genome assembly included 940 scaffolds covering 438,512,763 bp. The eight largest scaffolds are chromosome‐scale, reflecting the haploid chromosome number in Penstemon, and cover 404,087,496 bp. We used BUSCO v5.4.4 (Manni et al., 2021) with the eudicots_odb10 database to assess the completeness of our assembly. We found that 97.3% of 2326 single‐copy plant genes were complete, 7.1% were duplicated, and 2.1% were missing.
To annotate the P. smallii genome, we used STAR (Dobin et al., 2013) to align RNA‐seq data from the closely related P. barbatus and P. kunthii. Using the RNA‐seq data as evidence, as well as previous annotations from these species (Wessinger et al., 2023), we generated annotations using GeMoMa v1.9 (Keilwagen et al., 2016, 2018). The annotation includes 25,896 predicted genes.
DNA extraction, sequencing, and data set preparation
We extracted DNA from silica‐dried leaf tissue using a modified CTAB protocol (Doyle and Doyle, 1987). We submitted DNA to the Duke University Sequencing and Genomic Technologies core facility for whole‐genome Illumina library preparations using the Illumina Tagment DNA kit (Illumina, San Diego, CA, USA) and sequencing to ∼10× depth using 150‐bp paired‐end reads generated on the NovaSeq platform (Illumina). We used FastP (Chen et al., 2018) to quality filter raw Illumina reads, enabling autodetection of adapters, limiting read length to 30 bp, filtering out unpaired reads, enabling base correction for overlapping reads, and enabling poly‐x trimming on 3′ ends of reads. We then used FastQC (Andrews, 2010) and MultiQC (Ewels et al., 2016) to assess sequence quality. We used bwa‐mem (Li, 2013) to map quality‐filtered reads to the P. smallii genome and then used bcftools (v1.15.1; Li, 2011) to remove reads with low mapping quality (MQ < 30). We marked and removed duplicate reads with samtools markdup and used bamutil clipOverlap (Jun et al., 2015) to clip overlapping paired‐end reads. We used bcftools to call genotypes from our filtered reads to produce an “all sites” VCF file that includes both variant and invariant sites (356,395,844 SNPs).
We used vcftools v0.1.16 (Danecek et al., 2011) to filter variant sites in the all‐sites VCF file to only include sites with maximum individual alleles = 2, minimum site quality of 20, and excluded variants with more than 10% missing data. We estimated genome‐wide averages of coverage depth to filter variants for minimum (2), maximum (30) and mean‐maximum (20) depths. We then used the filtered all sites VCF file (136,974,329 SNPs) to generate individual gene CDS, genomic window, and consensus whole‐genome sequences for phylogenetic relationship estimation. We also used vcftools to filter the filtered all sites VCF file for biallelic SNPs. This filtered biallelic SNPs VCF file (7,806,165 SNPs) was used as input for Twisst (see below).
Estimating phylogenetic relationships
We inferred species trees in three ways to confirm patterns of species tree inference: a species tree based on coding sequence (CDS) trees, a species tree based on 20‐kb genomic window trees, and a concatenated data tree. For the CDS‐based species tree, we used gffread v0.12.7 (Pertea and Pertea, 2020) and the annotations from the P. smallii reference genome to generate fasta files with spliced exons (CDS) for each of our 27 samples. We then filtered individuals with >50% missing data for each CDS using a custom Python script (Stone and Wessinger, 2024). We estimated gene trees for each CDS in IQ‐TREE v2.3.6 (Minh et al., 2020) with the (‐mfp) model finder option (Kalyaanamoorthy et al., 2017). We constructed the species tree in ASTRAL‐III (Zhang et al., 2018) with the full annotation option (–t 2) to obtain additional quartet information for each branch. For the 20‐kb‐window‐based species tree, we split whole‐genome sequences into nonoverlapping 20‐kb windows and removed windows containing more than 75% missing data (Ns) for any sample using a custom Python script (Stone and Wessinger, 2024). We then used IQ‐TREE to estimate “window trees” for each genomic window and used ASTRAL‐III to infer the species tree. For the concatenated tree, we used IQ‐TREE to estimate a concatenated maximum likelihood (ML) tree by specifying the GTR + I + R substitution model and performing 1000 ultrafast bootstrap replicates (Hoang et al., 2018). We rooted each tree using the outgroup P. dissectus.
Quantifying concordance in the CDS species tree
To quantify genealogical concordance across the genome, we used IQ‐TREE to compute maximum likelihood gene and site concordance factors (Mo et al., 2023) for each internal branch of the species tree, using CDS sequence alignments and the corresponding CDS‐based species tree as our reference tree. Gene concordance factors (gCFs) reflect the proportion of gene trees that contain the focal branch. Site concordance factors (sCFs) are estimated in quartets and quantify the proportion of sites supporting a particular quartet topology and branch length in the reference species tree. Estimating both gCFs and sCFs can inform on the amount of genealogical concordance of the individual gene trees and the informative sites in the sequence data (Lanfear and Hahn, 2024).
Analysis of trait evolution
We tested whether our measure of floral occlusion differs between the categorical floral types described by Pennell (1935) and Freeman (2019)—personate, tubular, and open—by performing a phylogenetic ANOVA that corrects for relatedness among species using the phylANOVA function in the R package geiger (Harmon et al., 2008). We also tested whether the degree of floral occlusion is significantly associated with floral pleat depth using a phylogenetic generalized linear model using the glm function in the R package nlme (Pinheiro et al., 2018).
Identifying genome‐wide signals of introgression
Using the CDS‐based species tree, rooted to P. dissectus, and our filtered all‐sites VCF file as input, we calculated D and f 4‐ratio statistics for each possible rooted triplet with the program Dsuite v0.5 (Malinsky et al., 2021) and visualized the results with the f‐branch (f b) metric. This metric was designed to disentangle correlated f 4‐ratio results and identify excess allele sharing between a particular branch and species combination. Dsuite calculates each statistic with allele frequency estimates, instead of site pattern counts, to allow sampling of multiple individuals for a given population or taxon.
Assessing local phylogenetic discordance
We used topology weighting (Martin and Van Belleghem, 2017) to quantify patterns of phylogenetic discordance in non‐overlapping windows of 100 SNPs across the genome and to identify genomic regions where personate taxa are monophyletic. We first phased our biallelic VCF file to infer haplotypes from SNP genotypes using Beagle v5.4 (Browning et al., 2021). We then used PhyML (Guindon et al., 2010) to infer local neighbor‐joining trees from SNPs extracted in non‐overlapping 100‐SNP windows across the genome. Window trees were inferred under the GTR substitution model. This process yielded 78,057 window trees (mean window size: 2.1 kb; Appendix S4).
We next calculated topology weights for the window trees using Twisst (Martin and Van Belleghem, 2017). We focused our Twisst analysis on the clade containing personate and western tubular species (see Table 1). Specifically, we examined relationships between four clades: eastern tubular (P. australis, P. brevisepalus Pennell, and P. canescens), eastern personate (P. hirsutus and P. tenuiflorus), western tubular (P. arkansanus and P. pallidus), and western personate (P. oklahomensis). We calculated topology weights for three possible tree topologies. Topology 1 matches the species tree topology, where the western tubular clade is sister to the western personate clade. Topology 2 is the “miscellaneous” discordant topology where the western tubular clade is sister to the eastern personate clade; this topology is not of specific interest but instead serves as a control topology to help distinguish ILS from introgression. Topology 3 is the “personate” discordant topology where the eastern and western personate clades are monophyletic. We visualized and quantified the distribution of topology weightings across the genome using a ternary framework similar to that of Stankowski et al. (2024).
Calculating relative node depth to identify relative divergence between personate taxa
Local trees could show a personate discordant topology due to either ILS or introgression. In theory, these two processes may be distinguished by examining sequence divergence between the two personate lineages, relative to divergence from an outgroup. Divergence times between sequences of the two personate lineages should be relatively deep under ILS (pre‐dating the divergence of the western tubular and western personate clades), and shallow under introgression (reflecting recent post‐speciation hybridization). We calculated relative node depth (RND) values of 100 SNP windows (used in Twisst analysis) to distinguish these possibilities. Relative node depth is quantified by calculating genetic distance (d XY ) between two subclades relative to their average distance to an outgroup (Hahn, 2018):
where X and Y are two focal subclades and O is an outgroup. We focused on two RND calculations: RNDwestern where the focal subclades are the western tubular and western personate clades, and RNDpersonate where the focal subclades are western personate and eastern personate clades. We used P. dissectus as an outgroup for our RND calculations because it likely has minimal history of introgression between the subclades of interest. To calculate these window‐based d XY values, we used our filtered all sites VCF file as input to pixy (Korunes and Samuk, 2021) and calculated d XY between focal clades in the same non‐overlapping windows of 100 SNPs used for the Twisst analysis.
We performed both RND calculations in two sets of 100 SNP genomic windows, yielding distributions of RND values. First, we calculated both RND values in windows that strongly support the species tree (topology 1 weighting ≥ 0.90), to find the distribution of RND values for windows that follow the species tree as a baseline for comparison. Second, we calculated both RND values for windows that strongly support the personate topology (topology 3 weighting ≥ 0.90), to examine RNDpersonate values for these discordant windows. We additionally calculated RNDwestern and RNDpersonate for a more stringent set of windows: those fully supporting topology 1 compared to those fully supporting topology 3.
Identifying geographic patterns in population relatedness
To examine geographic patterns of population relatedness in our phylogenomic dataset, we projected a pairwise genetic distance matrix generated by a custom Python script (Wessinger et al., 2023) into two dimensions using multidimensional scaling (MDS) with the cmdscale function in the R package stats (R Core Team, 2023). We also used Plink v1.90b6.12 (Purcell et al., 2007) to prune SNPs in LD from our filtered all sites VCF and conduct a genomic PCA. Specifically, our LD pruning excluded any SNP with an r 2 value greater than 0.10 in 50‐kb windows, sliding every 10 kb. We examined the relationship between population geographic origin (longitude) and MDS or PCA axis. For this analysis, we focused on personate and tubular species and removed all nursery‐derived individuals (N = 5) because their geographic origin is unknown.
RESULTS
Personate flowers have apparently evolved repeatedly within subsect. Penstemon
We inferred trees using three different approaches: a species tree built with CDS sequences, a species tree built with 20‐kb genomic windows, and a maximum likelihood concatenated tree. All trees showed the same topology, with the three personate species (P. hirsutus, P. tenuiflorus, and P. oklahomensis) not a monophyletic group (Figure 2; Appendices S5, S6). Instead, two personate species (P. hirsutus and P. tenuiflorus) were sister species, forming an “eastern personate” lineage, while the third personate species (P. oklahomensis; “western personate”) was more closely related to a “western tubular” clade (P. pallidus and P. arkansanus). To understand genealogical concordance across our subsect. Penstemon phylogeny, we calculated both gene and site concordance factors on all internal branches of the CDS‐based tree. Despite the agreement across our inferred trees, gene and site concordance factors were low, particularly within the clade of personate and tubular species, reflecting substantial genealogical discordance in the group. Together, these results suggest that there is a large amount of topological discordance among species in the personate and tubular clade, but there is generally support for monophyly at the species level.
Figure 2.

Species tree constructed in Astral‐III from coding sequences for all included Penstemon subsect. Penstemon species. Numbers on nodes: gCF, gene concordance factor; sCF, site concordance factor. Black portion of pie charts represent the occlusion of each sample/tip created from floral occlusion measurements. Yellow boxes: personate species. Vertical bars specify the species' clade designation used in analyses. Lateral image of P. arkansanus was taken by iNaturalist user Luke Benjamin and the photo of P. pallidus was taken by iNaturalist user Brian Finzel. All other photos by T. Depatie.
Penstemon subsect. Penstemon species varied in floral occlusion and pleat depth
Our quantitative morphological analyses confirmed that the sampled subsect. Penstemon species varied in occlusion—encompassing a gradient of floral shapes from personate to open (Figure 3, Table 1). The three species described as personate had more occluded flowers than tubular species, which had more occluded flowers than open species (Figure 3). This result was significant when accounting for phylogenetic relatedness (F = 59.28932, P = 0.001; Appendix S7). Therefore, the qualitative floral descriptions by Pennell (1935) and Freeman (2019) captured quantifiable differences in floral shape. These species also varied in ventral petal pleat depth. More specifically, these floral pleats are deep in personate species and shallow in open species (Appendix S8; Table 1). We also found a strong association between the degree of flower occlusion and pleat depth (slope = 2.238237, P < 0.0001; Appendix S9), which further supports the important role ventral floral pleats play in producing Penstemon personate flowers. Interestingly, such ventral floral pleats are absent from the corolla tubes of snapdragon (Appendix S1), suggesting convergent evolution of personate flowers in the two plant genera involves distinct structural mechanisms.
The genome‐wide f‐branch analysis indicated that many eastern Penstemon species have a history of allele sharing
Our phylogenetic analysis suggested multiple transitions to personate flowers in subsect. Penstemon, although genealogical discordance among sites was pervasive. Therefore, we investigated the possibility that the two personate‐flowered lineages share a history of hybridization using phylogenetic tests of introgression. To examine genome‐wide signals of introgression among lineages in the clade, we used an f‐branch analysis based on Patterson's D statistic (Malinsky et al., 2021). Interestingly, we did not find evidence of significant allele sharing between the eastern and western personate lineages, suggesting the two distinct personate lineages do not exhibit an elevated genome‐wide signal of introgression. However, this analysis did reveal significant allele sharing between other lineages, suggesting a history of introgression in subsect. Penstemon (Figure 4). For example, we found a striking signature of allele sharing between a branch of two eastern tubular species (P. canescens and P. brevisepalus) and almost all other tubular and personate species in the tree, particularly with the eastern personate species (P. hirsutus and P. tenuiflorus). Penstemon tenuiflorus exhibited allele sharing with multiple clades. We also saw a history of allele sharing between western tubular and eastern personate species. Shared geographic ranges and an overlap in ecological niche is likely associated with the hybridization signal among most Penstemon species.
Figure 4.

Patterns of introgression (f‐branch) across the subsect. Penstemon species tree. The f‐branch statistic (f b ) is a genome‐wide metric interpreted as excess allele sharing between branches b (y‐axis) and tips (x‐axis) in the species tree. Dotted lines on the y‐axis represent internal branches of the tree. Colored circles on tips of the trees signify that taxon's group affiliation used throughout the paper. The color of these circles matches the vertical bars in Figure 2 (blue: eastern tubular, red: eastern personate, yellow: western tubular, and purple: western personate). The white‐to‐red color gradient represents the f b score; gray boxes represent tests that cannot be performed as they are inconsistent with the species tree topology.
Topology weighting revealed genealogical discordance and regions of the genome that support monophyly of personate taxa
Although we did not find genome‐wide‐elevated patterns of allele sharing between the eastern and western personate clades, localized regions of the genome might have such a pattern. Therefore, we used topology weighting to quantify the weightings of three possible topologies for the eastern tubular, eastern personate, western tubular, and western personate clades (Figure 5A). We found that most windows did not strongly support any of the three topologies, suggesting an abundance of discordant site patterns and extensive ILS (Figure 5B). In our ternary plot, we found no left–right asymmetry in the distribution of topology weights, suggesting a similar chance that a given window tree resembles the two alternative topologies—again, consistent with ILS (Figure 5C). The SNP windows that strongly supported one of three topologies were dispersed across the genome (Figure 5D). Across the entire data set of 78,057 100‐SNP trees, we found that 11.5% of subtrees completely supported the species tree (N = 882), while 1.59% (N = 122) completely supported the miscellaneous discordant tree, and 1.37% (N = 105) completely support the personate tree.
Figure 5.

Topology weighting suggests incomplete lineage sorting (ILS) is an important contributor to phylogenomic discordance. (A) The three possible topologies for the four groups of Penstemon subsect. Penstemon taxa included in the analysis. The “species tree topology” (green; far left) is concordant with the species tree and the two discordant topologies include the “miscellaneous topology” (orange; middle) and the “personate topology” (purple; far right). Under ILS, only the frequencies of the two discordant topologies should be equal, whereas higher weightings for the personate topology relative to the miscellaneous topology would suggest allele sharing via introgression between eastern and western personate groups. (B) Genome‐wide average weighting of each topology. (C) Ternary plot illustrating the distribution of topology weights for the 78,057 100‐SNP windows. (D) Topology weightings for 100‐SNP windows plotted across all eight linkage groups smoothed across 2 Mbp.
Relative node depth analysis provided little evidence for a history of introgression between personate lineages
Our topology weighting analysis identified genomic windows that strongly support monophyly of personate species. Such discordant windows could reflect either ILS or introgression. Our relative node depth calculations were designed to distinguish these two possibilities. We expect ILS greatly contributed to topological discordance in our data, and the distribution of RND between personate taxa (RNDpersonate) in windows supporting the personate discordant topology should be similar (or shifted toward larger RND values) compared to the distribution of RND between the western tubular and western personate taxa (RNDwestern) in windows supporting the species tree topology (Figure 6A). However, if introgression between the personate lineages has been an additional source of discordance, the distribution of RNDpersonate values in the windows supporting the personate topology should show a second peak with a lower mean value, reflecting a relatively recent introgression event (Edelman et al., 2019).
Figure 6.

Relative node depth (RND) calculations suggest that incomplete lineage sorting (ILS) explains local windows that strongly support monophyly of personate lineages. (A) Hypothetical RND results under introgression and ILS. (B) Distribution of RND calculations in windows with a species (spp) topology weighting > 0.90 (1863 windows). (C) Distribution of RND calculations in all windows with a personate topology weighting > 0.90 (282 windows). The white horizontal line and black text represent the median RND value for each of the compared taxa (listed on x‐axis).
We found that the distribution of RNDpersonate values in windows that support the personate topology had a single peak with median value that was greater than the distribution of RNDwestern values in windows that supported the species tree, suggesting that most discordance supporting the personate topology is not due to post‐speciation introgression (Figure 6B, C). The deep divergence in the majority of personate topology windows is instead consistent with ILS. However, some windows that supported the personate topology have very small RNDpersonate values, which might be consistent with introgression. This result suggests that ILS has been a common source of genealogical discordance causing local windows to show monophyly for the personate topology. We conducted an additional RND analysis for a more stringent set of windows (those fully supporting either the species tree or personate topologies) and found highly similar results (Appendix S10).
Penstemon subsect. Penstemon species display a geographic pattern of relatedness
In addition to clarifying the evolutionary history of personate flowers in subsect. Penstemon, we used our genomic data set to investigate spatial genetics within this clade. To examine whether population relatedness among the tubular and personate species reflects geographic proximity, we summarized genomic variation with multidimensional scaling of pairwise genetic distance matrix and a genomic PCA. We found a geographic pattern of relatedness among these taxa, perhaps reflecting a history of expansion eastward. This pattern was present in both our MDS (Figure 7A) and our genomic PCA (Appendix S11). In fact, MDS axis 1 and genomic PC1 both captured longitude, suggesting that populations and species are structured along a west‐to‐east gradient (Figure 7B, C; Appendix S11).
Figure 7.

Population relatedness across subsect. Penstemon tubular and personate species mirrors geographic location. (A) Multidimensional scaling (MDS) plot for tubular and personate species. (B) Positive relationship between MDS axis 1 and longitude. (C) Geographic location of each Penstemon subsect. Penstemon population used in the MDS analysis. Text and point colors represent the floral morphology of each species (brown: tubular and yellow: personate); point shape distinguishes between each species' geographic designation (square: western USA and circle: eastern USA).
DISCUSSION
Personate flowers in Penstemon and Antirrhinum have convergently evolved through distinct structural mechanisms
The personate flowers of Penstemon are formed by pleats on the ventral petal tube that project inward into the corolla tube (Figure 3A–C). These pleats shape the upward curvature of the ventral petal surface, causing occlusion of the floral tube. The ventral pleats are also present, but less pronounced, in open‐tubed and tubular species (Figure 3A–C; Appendix S8). In fact, we found that floral occlusion in subsect. Penstemon is strongly predicted by pleat depth (Appendix S9). Because many bee‐pollinated Penstemon species possess small ventral pleats, it is possible that the inward projections of floral tissue are a feature of Penstemon flower's bilateral symmetry that provide support for the ventral petal lobe during insect visitation. However, we can speculate that the novel personate floral form involved co‐option and deepening of these ventral pleats. Snapdragon flowers lack these ventral petal pleats and instead achieve their fully occluded personate shape with a hinge structure which is formed where the upper and lower petal lobes meet (Appendix S1). Thus, personate flowers have convergently evolved across genera through different morphological structures.
Pollinator‐mediated selection and the evolution of personate flowers
In snapdragons, personate flowers are associated with bee pollination. Guzman and colleagues (2015) surveyed the morphologically diverse tribe Antirrhineae (28 genera) to examine whether the evolution of personate flowers is shaped by pollinator‐mediated selection. The authors found that bees are the predominant visitor of species with personate flowers; however, other insect groups or even hummingbirds were occasionally reported as floral visitors, suggesting that the personate flower is not always effective at excluding curious or persistent visitors. The strength of snapdragon's floral hinge led to the classic hypothesis that only large bees were strong or heavy enough to pollinate the flowers (Müller, 1929; Sutton, 1988). According to this hypothesis, personate flowers might be an adaptation to prevent visitation by small bees that might be less‐effective pollinators. Vargas et al. (2010) tested this hypothesis by observing pollinators for three species of snapdragons, finding that both large and small bees visited the flowers, but flowers visited by large bees had the highest reproductive success. This result suggests that in their study, large bees were more‐effective pollinators than small bees. Interestingly papilionate flowers, occasionally called keel or legume flowers, exhibit some similarities to personate flowers, such that bees manipulate the flower's petal lobes to gain access to nectar and pollen rewards. It is often presumed that papilionate flowers can only be pollinated by strong bees that are able to pry open the dorsal and ventral petals; however, a study by Cordoba and Cocucci (2011) found that most bees possess the strength to operate the complex papilionate flowers. While the ecological function of personate flowers in Penstemon is currently unknown, one widely accepted hypothesis regarding the function of papilionate flowers is that this floral type protects pollen from wasteful pollinators and promotes outcrossing (as reviewed by Aygören Uluer, 2021).
Like papilionate flowers, personate flowers in Penstemon have also been hypothesized to act as a “size filter” on bees. Pennell (1935) speculated that large bees are the pollinators of personate Penstemon species, as observed in snapdragon. However, decades later, Crosswhite and Crosswhite (1966) proposed, based on unpublished personal observations, that small bees, specifically those from the genera Hoplitis (Megachilidae) and Ceratina (Ceratinidae), are the primary pollinators of P. hirsutus and likely P. tenuiflorus. Clements et al. (1999) published the only pollinator‐observation study of personate Penstemon and found that two species of large bumblebee (Bombus pennsylvanicus and B. bimaculatus) were the primary pollinators of P. hirsutus and P. tenuiflorus. These conflicting hypotheses and scant empirical data reinforce the need for a comprehensive pollination study of the personate Penstemon species that includes both visitation and effective pollination data. Such data will inform on whether pollinator‐mediated selection pressures influenced the evolution of personate flowers in Penstemon. A study to determine whether the strength of the floral closure matches the capabilities of Penstemon's insect visitors, resembling the Cordoba and Cocucci (2011) experiment, could also be performed with personate Penstemon flowers. Furthermore, it remains unclear whether the evolution of personate flowers plays any role in generating or reinforcing reproductive isolating barriers, for example, through floral isolation.
One intriguing difference between the evolution of personate flowers in Penstemon and snapdragon is in their associated flower colors. Snapdragons and other personate species in the Antirrhineae tribe are brightly colored, ranging in hues from pink to yellow (Whibley et al., 2006; Ellis and Field, 2016). All three personate species in subsect. Penstemon exhibit a strikingly similar suite of correlated floral traits, including a lack of floral pigmentation and nectar guides, but have a hairy yellow staminode. The existence of this “personate syndrome” suggests the action of similar ecological pressures causing a pattern of correlational selection that may be distinct from selective pressures acting on the personate flowers of Antirrhineae.
The source of genetic variation for repeated evolutionary origins
Our phylogenomic analyses revealed that personate species in subsect. Penstemon are not monophyletic. At face value, this result suggests that there have been two evolutionary transitions to personate flowers. There are three possible sources of genetic variation for such repeated evolution: de novo mutation, recurrent adaptation from standing genetic variation, or adaptive introgression. Adaptive introgression in particular is a compelling mechanism for the repeated evolution of complex adaptations such as personate flowers and their correlated suite of traits. For example, if the loci responsible for the personate flower syndrome are genetically linked, introgression might transfer multiple linked loci during an introgression event. In this scenario, we expect to see an extended genomic signal of allele sharing between the personate taxa, reflecting a genomic block that introgressed from one personate lineage into another at some point in evolutionary time.
Our genomic analyses were designed to test for a signal of introgression between the two personate lineages. Our genome‐wide f‐branch analysis found no evidence for a prevailing signal of introgression between personate taxa, nor did our topology weighting analysis reveal any extended blocks of allele sharing between the personate species. In contrast to our results, several other studies, for example in Heliconius butterflies (Martin and Van Belleghem, 2017; Rosser et al., 2024) and house mice (Linnenbrink et al., 2020), have identified large genomic regions exhibiting a signature of introgression using topology weighting. These genomic regions were found to harbor genes of adaptive significance such as the well‐studied wing patterning gene, optix, in Heliconius butterflies (Pardo‐Diaz, 2012).
If introgression between personate lineages has occurred in subsect. Penstemon, it did not leave an extended genomic signature. Nonetheless, it is possible that introgressed regions have a sufficiently small footprint that it is not detectable in the genome. Our Twisst analysis did detect regions of the genome where personate species are monophyletic, although they are relatively few and scattered throughout the genome. These local genomic regions showed relatively deep divergence times between personate lineages, pointing toward ILS rather than introgression as the source of discordant topologies showing monophyly of personate species. We conclude that introgression between the personate‐flowered lineages has been comparatively rare compared to the overall history of introgression in subsect. Penstemon. We do not think it is likely that repeated shifts to personate flowers in this group involved introgressed alleles, yet we cannot rule out the possibility completely.
Differentiating between the potential sources of genetic variation is often only possible once the causal genes have been identified. Within flowering plants, decades of research have focused on identifying the molecular pathways that produce flower pigments (Dogbo et al., 1988; Holton and Cornish, 1995), enabling the source of genetic variation for adaptation to be identified in diverse systems, including Penstemon. For example, functional genetic studies found that the evolution of red flowers in Penstemon appear to involve de novo loss‐of‐function mutations to the anthocyanin pathway gene Flavonoid 3′,5′‐hydroxylase (F3'5′h; Wessinger and Rausher, 2014, 2015). The identification of this locus as a key component of floral syndrome divergence provides the opportunity for additional studies in Penstemon to examine the genealogy at this locus compared to the genome‐wide phylogeny. Stone and Wessinger (2024) focused on a subgenus of Penstemon (Dasanthera), which includes two species that display a general hummingbird‐pollination syndrome to identify the source of genetic variation (i.e., introgression, standing genetic variation, or de novo mutation) for the repeated evolution of bright magenta flowers. Similar to our results, their study found evidence that the two separate origins of magenta flowers involved distinct de novo mutations to F3'5′h.
To disentangle the source of genetic variation for separate transitions to personate flowers in subsect. Penstemon system, we first need to identify the loci responsible for the personate syndrome traits. Prior work in the snapdragon model system using genetic manipulations revealed the involvement of several symmetry genes (as reviewed by Hileman, 2014), boundary genes (Rebocho et al., 2017a) and differential growth patterns across epidermal flower cells (Coen and Rebocho, 2016; Rebocho et al., 2017b), suggesting there is a complex developmental genetic basis for this morphological trait. We currently lack information regarding the genetic basis of personate flowers in Penstemon; however, the occurrence of close relatives in sect. Penstemon with either personate or open flowers makes genetic mapping studies feasible. Identifying the genetic architecture of personate flowers in Penstemon will not only provide an opportunity to understand whether the same loci are responsible for personate flowers across the genus, but will also allow us to examine the evolutionary history of personate flower alleles and ultimately determine whether introgression, standing variation, or de novo mutation influenced the repeated evolution of this enigmatic floral type.
Genealogical discordance in subsect. Penstemon reflects a rapid evolutionary radiation eastward
We found evidence for substantial phylogenomic discordance in our sampled eastern Penstemon species. Our concordance factors indicate that loci exhibit conflicting evolutionary histories, which is especially true in the clade with tubular and personate species (Figure 2). The phylogenomic discordance seen in our study is consistent with prior phylogenomic studies in genus Penstemon (Wessinger et al., 2019; Wolfe et al., 2021; Stone and Wessinger, 2024). The extensive genomic discordance in Penstemon can likely be attributed to due to its young age (about 2.5 million years old) and rapid species diversification across North America (Wolfe et al., 2021). We also identified a geographic pattern of genetic relatedness within subsect. Penstemon. This clade is inferred to be the youngest section of Penstemon—1 million to 0.5 million years old (Wolfe et al., 2021), and many eastern species have partially overlapping ranges with similar ecological niches (Appendix S2; Pennell, 1935; Freeman, 2019). Adaptive radiations often diversify quickly, leaving porous barriers between closely related taxa in sympatry (Seehausen, 2004). The geographic pattern of relatedness within this group likely reflects its recent geographic expansion eastward.
CONCLUSIONS
Personate flowers represent a complex morphological innovation with a unique structural basis in Penstemon that has apparently evolved on a short evolutionary timescale. However, we currently lack information on how and why an ancestrally open‐tubed lineage evolved personate flowers. Future research should investigate the genetic architecture underlying this intriguing floral trait to determine how many loci are involved, the developmental genetic pathways responsible, and whether the repeated evolution of personate flowers involves de novo mutations or pre‐existing variants. Additionally, there is a pressing need to identify the visitors and effective pollinators of the subsect. Penstemon species. Such studies will shed light on potential pollinator‐mediated selection pressures that may have favored this unique floral shape in Penstemon.
AUTHOR CONTRIBUTIONS
T.H.D.: conceptualization, methodology, data acquisition, data curation, formal analysis, data visualization, and writing original draft, review, and editing. C.A.W.: conceptualization, project administration, funding acquisition, and writing original draft, review, and editing.
CONFLICT OF INTEREST STATEMENT
The authors declare they have no conflict of interest.
Supporting information
Appendix S1. Photos demonstrating snapdragon (Antirrhinum) flower morphology.
Appendix S2. Information for diploid species of Penstemon subsect. Penstemon used in this study from Pennell (1935) and The Flora of North America (Freeman, 2019).
Appendix S3. Voucher information for Penstemon samples used in this study.
Appendix S4. Density of physical size (kbp) of non‐overlapping windows of 100 SNPs used for Twisst and RND analyses.
Appendix S5. Species tree constructed in Astral‐III from 20‐kb windows.
Appendix S6. Maximum likelihood concatenated species tree constructed in IQ‐TREE.
Appendix S7. Phylogenetic ANOVA statistics for floral occlusion.
Appendix S8. Variation in pleat depth across several Penstemon subsect. Penstemon species.
Appendix S9. Results of two methods developed to quantify eastern Penstemon flower morphology (floral occlusion and pleat depth).
Appendix S10. Relative node depth (RND) calculations to disentangle the genomic signatures of introgression and ILS within the miscellaneous discordant Twisst topology.
Appendix S11. Relationship between geography and genomic PCA.
ACKNOWLEDGMENTS
We thank B. Stone for advice on phylogenomic analyses and comments on an initial version of this manuscript. We thank Phase Genomics for assembly and annotation of the P. smallii genome. We thank C. Bellinger, A. Hamilton, and J. Stevens for assistance collecting plant specimens used in this study. We are grateful for C. Freeman who provided samples of P. arkansanus and P. gracilis from the R. L. McGregor Herbarium at the University of Kansas. We thank J. Messick for providing species information and a leaf sample of P. oklahomensis. We appreciate the iNaturalist users Boverser, Brian Finzel, Jared Gorrell, Luke Benjamin, and Theo Witsell for allowing us to use their photos of P. arkansanus and P. pallidus in this study. We are grateful to the USDA Forest Service collection permits in the Nantahala and Pisgah National Forests (North Carolina, USA), the Georgia Department of Natural Resources for collection permits for P. dissectus, and the Southeastern Climbers Coalition for allowing us to collect P. hirsutus at Kings Bluff (Clarksville, TN, USA). We thank two anonymous reviewers for helpful feedback on the manuscript. This work was funded by NIH NIGMS R35GM142636 (to C.A.W.) and NSF DEB‐2052904 (to C.A.W.).
Depatie, T. H. , and Wessinger C. A.. 2025. The unique morphological basis and repeated evolutionary origins of personate flowers in Penstemon . American Journal of Botany 112(8): e70078. 10.1002/ajb2.70078
DATA AVAILABILITY STATEMENT
All raw genomic data and the annotated P. smallii genome assembly are accessible under NCBI BioProject PRJNA1188554. The data and scripts that support the findings of this study have been deposited in a Zenodo repository: https://zenodo.org/records/15849442?preview=1&token=eyJhbGciOiJIUzUxMiJ9.eyJpZCI6IjNlZTk2ZWFiLWU1NTAtNDM1My04ZTBkLThhNWI5MGI4NjAzMyIsImRhdGEiOnt9LCJyYW5kb20iOiJlNWIxODZlNzgxMGVmNDg1MzE0ZTBlOTczYmRmODgwNiJ9.ENFvNRJj8I5t-kUoJjdlslXOsPbA7PbBKl6pzAO3JC_VJCLOpnEnENKY9u3ekdeSj6hlIxjdM_xZJG6cQLuJQA.
REFERENCES
- Abràmoff, M. D. , Magalhães P. J., and Ram S. J.. 2004. Image processing with ImageJ. Biophotonics International 11: 36–42. [Google Scholar]
- Alexander, A. M. , Su Y. C., Oliveros C. H., Olson K. V., Travers S. L., and Brown R. M.. 2017. Genomic data reveals potential for hybridization, introgression, and incomplete lineage sorting to confound phylogenetic relationships in an adaptive radiation of narrow‐mouth frogs. Evolution 71: 475–488. [DOI] [PubMed] [Google Scholar]
- Andrews, S. 2010. FastQC: A quality control tool for high throughput sequence data. https://www.bioinformatics.babraham.ac.uk/projects/fastqc/
- Avise, J. C. , and Robinson T. J.. 2008. Hemiplasy: a new term in the lexicon of phylogenetics. Systematic Biolog 57: 503–507. [DOI] [PubMed] [Google Scholar]
- Aygören Uluer, D. 2021. A review for the pollinators of Papilionaceous flowers. Turkish Journal of Biodiversity 4: 36–52. [Google Scholar]
- Bickhart, D. M. , Rosen B. D., Koren S., Sayre B. L., Hastie A. R., Chan S., Lee J., Lam E. T., et al. 2017. Single‐molecule sequencing and chromatin conformation capture enable de novo reference assembly of the domestic goat genome. Nature Genetics 49: 643–650. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Breitkopf, H. , Onstein R. E., Cafasso D., Schlüter P. M., and Cozzolino S.. 2015. Multiple shifts to different pollinators fuelled rapid diversification in sexually deceptive Ophrys orchids. New Phytologist 207: 377–389. [DOI] [PubMed] [Google Scholar]
- Browning, B. L. , Tian X., Zhou Y., and Browning S. R.. 2021. Fast two‐stage phasing of large‐scale sequence data. American Journal of Human Genetics 108: 1880–1890. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cardona, J. , Lara C., and Ornelas J. F.. 2020. Pollinator divergence and pollination isolation between hybrids with different floral color and morphology in two sympatric Penstemon species. Scientific Reports 10: 8126. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Castellanos, M. C. , Wilson P., and Thomson J. D.. 2004. ‘Anti‐bee’ and ‘pro‐bird’ changes during the evolution of hummingbird pollination in Penstemon flowers. Journal of Evolutionary Biology 17: 876–885. [DOI] [PubMed] [Google Scholar]
- Chen, S. , Zhou Y., Chen Y., and Gu J.. 2018. fastp: An ultra‐fast all‐in‐one FASTQ preprocessor. Bioinformatics 34: i884–i890. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cheng, H. , Concepcion G. T., Feng X., Zhang H., and Li H.. 2021. Haplotype‐resolved de novo assembly using phased assembly graphs with hifiasm. Nature Methods 18: 170–175. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Clements, R. K. , Baskin J. M., and Baskin C. C.. 1999. The comparative biology of the two closely related species Penstemon tenuiflorus Pennell and P. hirsutus (L.) Willd. (Scrophulariaceae, section Graciles): II. Reproductive biology. Castanea 64: 299–309. [Google Scholar]
- Coen, E. , and Rebocho A. B.. 2016. Resolving conflicts: modeling genetic control of plant morphogenesis. Developmental Cell 38: 579–583. [DOI] [PubMed] [Google Scholar]
- Cordoba, S. A. , and Cocucci A. A.. 2011. Flower power: its association with bee power and floral functional morphology in papilionate legumes. Annals of Botany 108: 919–931. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Crosswhite, F. S. , and Crosswhite C. D.. 1966. Insect pollinators of Penstemon series Graciles (Scrophulariaceae) with notes on Osmia and other Megachilidae. American Midland Naturalist 76: 450–467. [Google Scholar]
- Darwin, C. 1859. On the origin of species by means of natural selection. John Murray Press, London, UK. [Google Scholar]
- Danecek, P. , Auton A., Abecasis G., Albers C. A., Banks E., DePristo M. A., Handsaker R. E., et al. 2011. The variant call format and VCFtools. Bioinformatics 27: 2156–2158. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Degnan, J. H. , and Rosenberg N. A.. 2009. Gene tree discordance, phylogenetic inference and the multispecies coalescent. Trends in Ecology and Evolution 24: 332–340. [DOI] [PubMed] [Google Scholar]
- Dobin, A. , Davis C. A., Schlesinger F., Drenkow J., Zaleski C., Jha S., Batut P., et al. 2013. STAR: ultrafast universal RNA‐seq aligner. Bioinformatics 29: 15–21. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dogbo, O. , Laferriére A., d'Harlingue A., and Camara B.. 1988. Carotenoid biosynthesis: Isolation and characterization of a bifunctional enzyme catalyzing the synthesis of phytoene. Proceedings of the National Academy of Sciences, USA 85: 7054–7058. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Doyle, J. J. , and Doyle J. L.. 1987. A rapid DNA isolation procedure for small quantities of fresh leaf tissue. Phytochemical Bulletin 19: 11–15. [Google Scholar]
- Durand, N. C. , Robinson J. T., Shamim M. S., Machol I., Mesirov J. P., Lander E. S., and Aiden E. L.. 2016. Juicebox provides a visualization system for Hi‐C contact maps with unlimited zoom. Cell Systems 3: 99–101. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Edelman, N. B. , Frandsen P. B., Miyagi M., Clavijo B., Davey J., Dikow R. B., García‐Accinelli G., et al. 2019. Genomic architecture and introgression shape a butterfly radiation. Science 366: 594–599. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ellis, T. J. , and Field D. L.. 2016. Repeated gains in yellow and anthocyanin pigmentation in flower colour transitions in the Antirrhineae. Annals of Botany 117: 1133–1140. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ewels, P. , Magnusson M., Lundin S., and Käller M.. 2016. MultiQC: summarize analysis results for multiple tools and samples in a single report. Bioinformatics 32: 3047–3048. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Faust, G. G. , and Hall I. M.. 2014. SAMBLASTER: fast duplicate marking and structural variant read extraction. Bioinformatics 30: 2503–2505. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Freeman, C. C. 2019. Penstemon . In Flora of North America Editorial Committee [eds.], Flora of North America north of Mexico, Vol. 17: Magnoliophyta: Tetrachondraceae to Orobanchaceae, 82–255. Oxford University Press, Oxford, UK. [Google Scholar]
- Givnish, T. J. , and Sytsma K. J. [eds.]. 2000. Molecular evolution and adaptive radiation. Cambridge University Press, Cambridge, UK. [Google Scholar]
- Guindon, S. , Dufayard J. F., Lefort V., Anisimova M., Hordijk W., and Gascuel O.. 2010. New algorithms and methods to estimate maximum‐likelihood phylogenies: assessing the performance of PhyML 3.0. Systematic Biology 59: 307–321. [DOI] [PubMed] [Google Scholar]
- Guzmán, B. , Gómez J. M., and Vargas P.. 2015. Bees and evolution of occluded corollas in snapdragons and relatives (Antirrhineae). Perspectives in Plant Ecology, Evolution and Systematics 17: 467–475. [Google Scholar]
- Hahn, M. W. 2018. Molecular population genetics. Oxford University Press, Oxford, UK. [Google Scholar]
- Harmon, L. J. , Weir J. T., Brock C. D., Glor R. E., and Challenger W.. 2008. GEIGER: investigating evolutionary radiations. Bioinformatics 24: 129–131. [DOI] [PubMed] [Google Scholar]
- Hibbins, M. S. , Gibson M. J., and Hahn M. W.. 2020. Determining the probability of hemiplasy in the presence of incomplete lineage sorting and introgression. eLife 9: e63753. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hibbins, M. S. , and Hahn M. W.. 2022. Phylogenomic approaches to detecting and characterizing introgression. Genetics 220: iyab173. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hileman, L. C. 2014. Trends in flower symmetry evolution revealed through phylogenetic and developmental genetic advances. Philosophical Transactions of the Royal Society, B: Biological Sciences 369: 20130348. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hoang, D. T. , Chernomor O., Von Haeseler A., Minh B. Q., and Vinh L. S.. 2018. UFBoot2: improving the ultrafast bootstrap approximation. Molecular Biology and Evolution 35: 518–522. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hodges, S. A. , and Arnold M. L.. 1995. Spurring plant diversification: are floral nectar spurs a key innovation? Proceedings of the Royal Society of London, B: Biological Sciences 262: 343–348. [Google Scholar]
- Hodges, S. A. , Whittall J. B., Fulton M., and Yang J. Y.. 2002. Genetics of floral traits influencing reproductive isolation between Aquilegia formosa and Aquilegia pubescens . American Naturalist 159: S51–S60. [DOI] [PubMed] [Google Scholar]
- Holton, T. A. , and Cornish E. C.. 1995. Genetics and biochemistry of anthocyanin biosynthesis. Plant Cell 7: 1071. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hudson, R. R. 1983. Testing the constant‐rate neutral allele model with protein sequence data. Evolution 37: 203–217. [DOI] [PubMed] [Google Scholar]
- Jun, G. , Wing M. K., Abecasis G. R., and Kang H. M.. 2015. An efficient and scalable analysis framework for variant extraction and refinement from population‐scale DNA sequence data. Genome Research 25: 918–925. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kalyaanamoorthy, S. , Minh B. Q., Wong T. K., Von Haeseler A., and Jermiin L.S.. 2017. ModelFinder: fast model selection for accurate phylogenetic estimates. Nature Methods 14: 587–589. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kapralov, M. V. , Votintseva A. A., and Filatov D. A.. 2013. Molecular adaptation during a rapid adaptive radiation. Molecular Biology and Evolution 30: 1051–1059. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Keilwagen, J. , Hartung F., Paulini M., Twardziok S. O., and Grau J.. 2018. Combining RNA‐seq data and homology‐based gene prediction for plants, animals and fungi. BMC Bioinformatics 19: 1–12. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Keilwagen, J. , Wenk M., Erickson J. L., Schattat M. H., Grau J., and Hartung F.. 2016. Using intron position conservation for homology‐based gene prediction. Nucleic Acids Research 44: e89. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Korunes, K. L. , and Samuk K.. 2021. pixy: Unbiased estimation of nucleotide diversity and divergence in the presence of missing data. Molecular Ecology Resources 21: 1359–1368. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lanfear, R. , and Hahn M. W.. 2024. The meaning and measure of concordance factors in phylogenomics. Molecular Biology and Evolution 41: msae214. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Li, H. 2011. A statistical framework for SNP calling, mutation discovery, association mapping and population genetical parameter estimation from sequencing data. Bioinformatics 27: 2987–2993. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Li, H. 2013. Aligning sequence reads, clone sequences, and assembly contigs with BWA‐MEM. arXiv http://arxiv.org/abs/1303.3997 [preprint].
- Li, H. , Handsaker B., Wysoker A., Fennell T., Ruan J., Homer N., Marth G., et al. 2009. The sequence alignment/map format and SAMtools. Bioinformatics 25: 2078–2079. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Linnenbrink, M. , Ullrich K. K., McConnell E., and Tautz D.. 2020. The amylase gene cluster in house mice (Mus musculus) was subject to repeated introgression including the rescue of a pseudogene. BMC Evolutionary Biology 20: 1–11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Losos, J. B. , and Mahler D. L.. 2010. Adaptive radiation: The interaction of ecological opportunity, adaptation, and speciation. In Givnish T. J. and Sytsma K. J. [eds.], Molecular evolution and adaptive radiation. Sinauer, Sunderland, MA, USA. [Google Scholar]
- Malinsky, M. , Matschiner M., and Svardal H.. 2021. Dsuite ‐ Fast D‐statistics and related admixture evidence from VCF files. Molecular Ecology Resources 21: 584–595. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Manni, M. , Berkeley M. R., Seppey M., Simão F. A., and Zdobnov E. M.. 2021. BUSCO update: novel and streamlined workflows along with broader and deeper phylogenetic coverage for scoring of eukaryotic, prokaryotic, and viral genomes. Molecular Biology and Evolution 38: 4647–4654. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Martin, S. H. , and Van Belleghem S. M., 2017. Exploring evolutionary relationships across the genome using topology weighting. Genetics 206: 429–438. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Meier, J. I. , McGee M. D., Marques D. A., Mwaiko S., Kishe M., Wandera S., Neumann D., et al. 2023. Cycles of fusion and fission enabled rapid parallel adaptive radiations in African cichlids. Science 381: eade2833. [DOI] [PubMed] [Google Scholar]
- Meyer, A. , Montero C. M., and Spreinat A.. 1996. Molecular phylogenetic inferences about the evolutionary history of East African cichlid fish radiations. In Johnson T. C. and Odada E. O. [eds.], Limnology, climatology, and paleoclimatology of the East African Lakes, 303–323. Routledge, London, UK. [Google Scholar]
- Minh, B. Q. , Schmidt H. A., Chernomor O., Schrempf D., Woodhams M. D., Von Haeseler A., and Lanfear R.. 2020. IQ‐TREE 2: new models and efficient methods for phylogenetic inference in the genomic era. Molecular Biology and Evolution 37: 1530–1534. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mo, Y. K. , Lanfear R., Hahn M. W., and Minh B. Q.. 2023. Updated site concordance factors minimize effects of homoplasy and taxon sampling. Bioinformatics 39: btac741. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Müller, L. 1929. Anatomisch‐biomechanische Studien an maskierten Scrophulariaceenblüten. Österreichische Botanische Zeitschrift 78: 193–214. [Google Scholar]
- Munz, P. 1946. Aquilegia: The cultivated and wild columbines. Gentes Herbarum 7: 1–150. [Google Scholar]
- Nge, F. J. , Biffin E., Thiele K. R., and Waycott M.. 2020. Reticulate evolution, ancient chloroplast haplotypes, and rapid radiation of the Australian plant genus Adenanthos (Proteaceae). Frontiers in Ecology and Evolution 8: 616741. [Google Scholar]
- Pamilo, P. , and Nei M.. 1988. Relationships between gene trees and species trees. Molecular Biology and Evolution 5: 568–583. [DOI] [PubMed] [Google Scholar]
- Pardo‐Diaz, C. , Salazar C., Baxter S. W., Merot C., Figueiredo‐Ready W., Joron M., McMillan W. O., and Jiggins C. D.. 2012. Adaptive introgression across species boundaries in Heliconius butterflies. PLoS Genetics 8: e1002752. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pease, J. B. , Haak D. C., Hahn M. W., and Moyle L. C.. 2016. Phylogenomics reveals three sources of adaptive variation during a rapid radiation. PLoS Biology 14: e1002379. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pennell, F. W. 1935. The Scrophulariaceae of eastern temperate North America, 220–273. Academy of Natural Sciences of Philadelphia, Philadelphia, PA, USA. [Google Scholar]
- Pertea, G. , and Pertea M.. 2020. GFF utilities: GffRead and GffCompare. F1000Research 9. https://f1000research.com/articles/9-304/v2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pinheiro, J. , Bates D., DebRoy S., Sarkar D., and Core Team R. 2018. nlme: Linear and nonlinear mixed effects models (R package version 3.1–137). https://cran.r-project.org/package=nlme
- Purcell, S. , Neale B., Todd‐Brown K., Thomas L., Ferreira M. A., Bender D., Maller J., et al. 2007. PLINK: a tool set for whole‐genome association and population‐based linkage analyses. American Journal of Human Genetics 81: 559–575. [DOI] [PMC free article] [PubMed] [Google Scholar]
- R Core Team . 2023. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org
- Rao, S. S. P. , Huntley M. H., Durand N. C., Stamenova E. K., Bochkov I. D., Robinson J. T., Sanborn A. L., et al. 2014. A 3D map of the human genome at kilobase resolution reveals principles of chromatin looping. Cell 159: 1665–1680. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rebocho, A. B. , Kennaway J. R., Bangham J. A., and Coen E.. 2017a. Formation and shaping of the Antirrhinum flower through modulation of the CUP boundary gene. Current Biology 27: 2610–2622. [DOI] [PubMed] [Google Scholar]
- Rebocho, A. B. , Southam P., Kennaway J. R., Bangham J. A., and Coen E.. 2017b. Generation of shape complexity through tissue conflict resolution. eLife 6: e20156. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ree, R. H. 2005. Detecting the historical signature of key innovations using stochastic models of character evolution and cladogenesis. Evolution 59: 257–265. [PubMed] [Google Scholar]
- Rosser, N. , Seixas F., Queste L. M., Cama B., Mori‐Pezo R., Kryvokhyzha D., Nelson M., et al. 2024. Hybrid speciation driven by multilocus introgression of ecological traits. Nature 628: 811–817. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rubin, C.‐J. , Enbody E. D., Dobreva M. P., Abzhanov A., Davis B. W., Lamichhaney S., Pettersson M., et al. 2022. Rapid adaptive radiation of Darwin's finches depends on ancestral genetic modules. Science Advances 8: eabm5982. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Schenk, J. J. 2021. The next generation of adaptive radiation studies in plants. International Journal of Plant Sciences 182: 245–262. [Google Scholar]
- Schluter, D. 1996. Ecological causes of adaptive radiation. American Naturalist 148: S40–S64. [Google Scholar]
- Schluter, D. 2000. The ecology of adaptive radiation. Oxford University Press, Oxford, UK. [Google Scholar]
- Seehausen, O. 2004. Hybridization and adaptive radiation. Trends in Ecology & Evolution 19: 198–207. [DOI] [PubMed] [Google Scholar]
- Simpson, G. G. 1953. The major features of evolution. Columbia University Press. NY, NY, USA. [Google Scholar]
- Stankowski, S. , Zagrodzka Z. B., Garlovsky M. D., Pal A., Shipilina D., Castillo D. G., Lifchitz H., et al. 2024. The genetic basis of a recent transition to live‐bearing in marine snails. Science 383: 114–119. [DOI] [PubMed] [Google Scholar]
- Stone, B. W. , and Wessinger C. A.. 2024. Ecological diversification in an adaptive radiation of plants: the role of de novo mutation and introgression. Molecular Biology and Evolution 41: msae007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Suh, A. , Smeds L., and Ellegren H.. 2015. The dynamics of incomplete lineage sorting across the ancient adaptive radiation of neoavian birds. PLoS Biology 13: e1002224. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sutton, D. A. 1988. A revision of the tribe Antirrhineae. Oxford University Press, Oxford, UK. [Google Scholar]
- Urban, S. , Nater A., Meyer A., and Kratochwil C. F.. 2021. Different sources of allelic variation drove repeated color pattern divergence in cichlid fishes. Molecular Biology and Evolution 38: 465–477. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Vargas, P. , Ornosa C., Ortiz‐Sánchez F. J., and Arroyo J.. 2010. Is the occluded corolla of Antirrhinum bee‐specialized? Journal of Natural History 44: 1427–1443. [Google Scholar]
- Walter, G. M. , Aguirre J. D., Blows M. W., and Ortiz‐Barrientos D.. 2018. Evolution of genetic variance during adaptive radiation. American Naturalist 191: E108–E128. [DOI] [PubMed] [Google Scholar]
- Weberling, F. 1992. Morphology of flowers and inflorescences. Cambridge University Press, Cambridge, UK. [Google Scholar]
- Wessinger, C. A. , Katzer A. M., Hime P. M., Rausher M. D., Kelly J. K., and Hileman L. C.. 2023. A few essential genetic loci distinguish Penstemon species with flowers adapted to pollination by bees or hummingbirds. PLoS Biology 21: e3002294. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wessinger, C. A. , and Rausher M. D.. 2014. Predictability and irreversibility of genetic changes associated with flower color evolution in Penstemon barbatus . Evolution 68: 1058–1070. [DOI] [PubMed] [Google Scholar]
- Wessinger, C. A. , and Rausher M. D.. 2015. Ecological transition predictably associated with gene degeneration. Molecular Biology and Evolution 32: 347–354. [DOI] [PubMed] [Google Scholar]
- Wessinger, C. A. , Rausher M. D., and Hileman L. C.. 2019. Adaptation to hummingbird pollination is associated with reduced diversification in Penstemon . Evolution Letters 3: 521–533. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Whibley, A. C. , Langlade N. B., Andalo C., Hanna A. I., Bangham A., Thébaud C., and Coen E.. 2006. Evolutionary paths underlying flower color variation in Antirrhinum . Science 313: 963–966. [DOI] [PubMed] [Google Scholar]
- Wilson, P. , Castellanos M. C., Wolfe A. D., and Thomson J. D.. 2006. Shifts between bee and bird pollination in Penstemons. In Waser N. M. and Ollerton J. L. [eds.], Plant–pollinator interactions: From specialization to generalization. University of Chicago Press, Chicago, IL, USA. [Google Scholar]
- Wilson, P. , and Valenzuela M.. 2002. Three naturally occurring Penstemon hybrids. Western North American Naturalist 62: 25–31. [Google Scholar]
- Wilson, P. , Wolfe A. D., Armbruster W. S., and Thomson J. D.. 2007. Constrained lability in floral evolution: counting convergent origins of hummingbird pollination in Penstemon and Keckiella . New Phytologist 176: 883–890. [DOI] [PubMed] [Google Scholar]
- Wolfe, A. D. , Blischak, P. D. , and Kubatko, L. S. 2021. Phylogenetics of a rapid, continental radiation: diversification, biogeography, and circumscription of the beardtongues (Penstemon; Plantaginaceae). BioRxiv 2021‐04. [Google Scholar]
- Wolfe, A. D. , Randle C. P., Datwyler S. L., Morawetz J. J., Arguedas N., and Diaz J.. 2006. Phylogeny, taxonomic affinities, and biogeography of Penstemon (Plantaginaceae) based on ITS and cpDNA sequence data. American Journal of Botany 93: 1699–1713. [DOI] [PubMed] [Google Scholar]
- Wu, M. , Kostyun J. L., Hahn M. W., and Moyle L. C.. 2018. Dissecting the basis of novel trait evolution in a radiation with widespread phylogenetic discordance. Molecular Ecology 27: 3301–3316. [DOI] [PubMed] [Google Scholar]
- Yoder, J. B. , Clancey E., Des Roches S., Eastman J. M., Gentry L., Godsoe W., Hagey T. J., et al. 2010. Ecological opportunity and the origin of adaptive radiations. Journal of Evolutionary Biology 23: 1581–1596. [DOI] [PubMed] [Google Scholar]
- Zhang, C. , Rabiee M., Sayyari E., and Mirarab S.. 2018. ASTRAL‐III: polynomial time species tree reconstruction from partially resolved gene trees. BMC Bioinformatics 19: 15–30. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Appendix S1. Photos demonstrating snapdragon (Antirrhinum) flower morphology.
Appendix S2. Information for diploid species of Penstemon subsect. Penstemon used in this study from Pennell (1935) and The Flora of North America (Freeman, 2019).
Appendix S3. Voucher information for Penstemon samples used in this study.
Appendix S4. Density of physical size (kbp) of non‐overlapping windows of 100 SNPs used for Twisst and RND analyses.
Appendix S5. Species tree constructed in Astral‐III from 20‐kb windows.
Appendix S6. Maximum likelihood concatenated species tree constructed in IQ‐TREE.
Appendix S7. Phylogenetic ANOVA statistics for floral occlusion.
Appendix S8. Variation in pleat depth across several Penstemon subsect. Penstemon species.
Appendix S9. Results of two methods developed to quantify eastern Penstemon flower morphology (floral occlusion and pleat depth).
Appendix S10. Relative node depth (RND) calculations to disentangle the genomic signatures of introgression and ILS within the miscellaneous discordant Twisst topology.
Appendix S11. Relationship between geography and genomic PCA.
Data Availability Statement
All raw genomic data and the annotated P. smallii genome assembly are accessible under NCBI BioProject PRJNA1188554. The data and scripts that support the findings of this study have been deposited in a Zenodo repository: https://zenodo.org/records/15849442?preview=1&token=eyJhbGciOiJIUzUxMiJ9.eyJpZCI6IjNlZTk2ZWFiLWU1NTAtNDM1My04ZTBkLThhNWI5MGI4NjAzMyIsImRhdGEiOnt9LCJyYW5kb20iOiJlNWIxODZlNzgxMGVmNDg1MzE0ZTBlOTczYmRmODgwNiJ9.ENFvNRJj8I5t-kUoJjdlslXOsPbA7PbBKl6pzAO3JC_VJCLOpnEnENKY9u3ekdeSj6hlIxjdM_xZJG6cQLuJQA.
