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Proceedings of the National Academy of Sciences of the United States of America logoLink to Proceedings of the National Academy of Sciences of the United States of America
. 2026 Feb 13;123(8):e2525299123. doi: 10.1073/pnas.2525299123

A lectin receptor-like kinase controls self-pollen recognition in Phlox

Grace A Burgin a,1, Nia Faith Lewis a, Robin Hopkins a,1
PMCID: PMC12933113  PMID: 41686477

Significance

Over half of all flowering plants enforce outcrossing via self-incompatibility (SI), a collection of independently evolved genetic mechanisms used to distinguish self- from non-self-pollen. These mechanisms are widespread, drive ecological and evolutionary dynamics, and have practical applications to agricultural breeding and conservation programs. Despite this broad importance, the genetic basis of self-pollen recognition (so-called “S -loci”) has been identified in only a few systems. The identification of novel S -loci has been protracted in part due to the extreme polymorphism at these loci as well as difficulty implementing functional genomics in nonmodel taxa. We overcome these challenges in Phlox (Polemoniaceae) to identify the gene controlling self-pollen recognition in an independently-evolved SI mechanism.

Keywords: self-incompatibility, self-recognition, S-locus, cell–cell communication, Polemoniaceae

Abstract

Self-incompatibility (SI) describes a widespread collection of genetic mechanisms in flowering plants used to specifically recognize and reject self-pollen. These mechanisms are fundamental to plant sexual reproduction and offer valuable insight into the molecular basis of cell–cell communication and self-recognition more broadly. Here, we leverage an independent evolution of SI in the lineage containing Phlox (Polemoniaceae) to identify the gene causing self-pollen recognition which we name Phlox drummondii Pistil Identity Receptor Kinase (PdPIRK). Recognition of self-pollen associates with a single genomic region containing the Phlox S-locus. We generate predictions regarding how S-loci must function and evolve to identify a single candidate gene within this S-associated region. This gene, PdPIRK, is highly and specifically expressed in the pistil and has exceptionally high polymorphism maintained by negative frequency-dependent selection, two hallmarks of self-pollen recognition genes. Functional validation with gene silencing confirms that PdPIRK is necessary for self-incompatibility, and we further demonstrate allele-specific activity, confirming its role in self-pollen recognition per se. PdPIRK encodes a G-type lectin receptor-like kinase, which is a member of the same gene family as SRK, the gene controlling self-pollen recognition in the distantly related Brassicaceae. Our findings suggest the presence of genetic constraints or paths of least resistance governing how S-loci evolve and add to our understanding of the diverse molecular mechanisms through which organisms achieve self-recognition.


Distinguishing self from nonself is a fundamental feature of many biological processes. Self-avoidance drives neuronal geometries in insects and vertebrates, a breakdown in self-tolerance leads to aberrant immune phenotypes in mammals, and the spatial boundaries of an expanding bacterial colony can be determined through encounters with non-self-strains (1–3). Identifying the genetic basis of these self-discriminating processes has contributed essential insight into how molecular communication functions and evolves. However, many self-recognition mechanisms remain to be discovered, particularly across diverse and nonmodel taxa.

In flowering plants, reliable self- and non-self-discrimination is essential during sexual reproduction. Most angiosperms produce sperm-bearing pollen and ovule-housing pistils within the same individual which generates the potential for self-fertilization (4, 5). The rate of self-fertilization can affect individual fitness, recombination dynamics, and how evolution proceeds across the entire genome (6). As a result, plants have evolved diverse mechanisms to modulate the rate of self-fertilization within a lineage. The most widespread of these mechanisms is self-incompatibility (SI), which describes genetic mechanisms used to specifically recognize and reject self-pollen when it arrives at the pistil. SI independently evolved numerous times as flowering plants diversified, and the general term of SI refers collectively to these varied origins (7, 8). Generally, recognition of self-pollen occurs via molecular interactions between pistil and pollen expressed gene products encoded within a single, nonrecombining genomic locus termed the S-locus (9, 10). These systems most commonly involve many compatibility types determined by an individual’s S-locus genotype without associated variation in floral morphology (i.e., homomorphic SI).

To date, the genetic identities of just five independently evolved homomorphic S-loci are known and each encodes unique and nonhomologous genes (11–15). This observation suggests that self-pollen recognition can and does evolve through diverse genetic routes. Whether this apparent nonhomology reflects a true lability in how self-pollen recognition functions and evolves is unclear because the majority of independently evolved S-loci remain uncharacterized (7).

Phlox drummondii (Polemoniaceae) presents a unique opportunity to study the evolution of self-pollen recognition. Phlox is a classic system for exploring evolutionary transitions in the SI response, yet the genes causing self-pollen recognition and rejection remain unknown (16, 17). Its phylogenetic position indicates that an independent evolution of SI has occurred within the lineage containing Phlox (Fig. 1A) (18). We leverage this independent evolution to characterize the genetic identity of the pistil-expressed gene of a novel S-locus (19). Our study adds fundamental insight into the diverse molecular mechanisms through which organisms achieve self-discrimination.

Fig. 1.

Distribution of homomorphic S I mechanisms; P. drummondii Chromosome 2 schematic; P. drummondii floral morphology; relative expression of P d P I R K.

Identifying a candidate gene for self-pollen recognition in P. drummondii. (A) A schematic of the distribution of independently evolved homomorphic SI mechanisms for which the genetic identity of the S-locus is known across angiosperms. Colors indicate unique SI mechanisms found in each family with the pistil/pollen expressed S-locus genetic components listed in the legend. The categorical SI type is indicated in parentheses: sporophytic given as SSI, gametophytic as GSI, or two-locus system (21). An independent evolution of SI has occurred in the lineage containing Phlox (Polemoniaceae) and is indicated by a blue asterisk. (B) Schematic of P. drummondii Chromosome 2 with dark gray shading indicating the ~67 Mb region our previous genetic mapping experiments identified as associated with the S-locus. The approximate genomic position of PdPIRK is marked by a blue line. The top ~10% of genes (n = 73) with highest expression in stigma/style tissue in this genomic region are shown below in a heatmap of expression with tissue type and biological replicates organized into rows (SI Appendix, Tables S1 and S2). Each column is a unique gene and genes are ordered based on their physical position in the genome. A blue asterisk denotes PdPIRK which is highly and specifically expressed in stigma/style tissue. Color corresponds to normalized expression level (TMM). (C) Illustration of P. drummondii floral morphology by Dr. Wendy Van Drunen (https://www.evoecoart.com) with tissues included in transcriptome sequencing and/or qPCR experiments labeled. (D) The relative expression of PdPIRK in leaf, corolla, and stigma/style tissue from S4S4 plants as quantified by qPCR corroborates a pattern of stigma/style specific expression. Primers used to amplify PdPIRK were based on the allele S4 sequence identified from long-read transcriptomes (SI Appendix, Table S3). Means ± SE are plotted with lower case letters indicating significance differences between tissue types.

Results

A Single Pistil-Expressed Gene Matches Predictions for S-Locus Evolution.

Self-pollen recognition in P. drummondii localizes to a single genomic locus spanning ~67 Mb and containing 727 total genes (18). Here, we narrow this list of candidate genes using theoretical predictions for how self-pollen recognition genes likely function and evolve. We test two key predictions of the pistil-expressed S-locus gene: 1) that, as in other well-characterized SI mechanisms, gene expression is high and restricted to stigma/style tissue, and 2) that polymorphism is exceptionally high, maintained by negative frequency-dependent selection.

Characterization of other self-pollen recognition mechanisms has revealed that while many genes are expressed in the pistil, the pistil-expressed S-locus gene is consistently among the most highly expressed in this tissue and rarely expressed elsewhere in the plant (20–23). To identify genes following this expression pattern, we analyzed previously published transcriptomes of five Phlox tissues: stem, leaf, pollen, anthers, and stigma/style (Fig. 1 B and C). Tests for differential expression reveal that 224 genes genome-wide show significantly higher expression in the stigma/style in pairwise contrasts with all other tissue types. Of the 727 genes annotated to the S-locus associated genomic region, eight are restricted in expression to stigma/style tissue (SI Appendix, Table S1). We validated the pattern of tissue-specific expression for our top candidate gene in this region using real-time qPCR (Fig. 1D).

Negative frequency-dependent selection maintains unusually high polymorphism at the S-locus (24). In addition to not being able to self-fertilize, individuals with matching S-genotypes cannot fertilize each other. Rare alleles therefore confer a selective advantage over common alleles by increasing an individual’s pool of potential mating partners resulting in the maintenance of numerous alleles over evolutionary time and exceptionally high levels of polymorphism at genes within the S-locus. We quantify polymorphism across genes in the S-locus associated genomic region by calling phased variants using our stigma/style RNAseq dataset and reconstructing evolutionary relationships between the 12 alleles using maximum likelihood gene trees. Gene tree branch length is a metric for polymorphism with longer total branch lengths indicating higher overall polymorphism. Predicted coding regions of the top ~10% of genes most highly expressed in stigma/style tissue within the S-locus associated genomic region have a mean ± SE total branch length of 0.0472 ± 0.0061 substitutions per site (n = 73). There is a single outlier gene with an exceptionally long total branch length of 0.296 substitutions per site (Rosner’s Outlier Test R = 4.75, k = 1, P < 0.001) (Fig. 2A). Diversity at this gene is consistent with the extraordinarily high allelic variation predicted for functional genes within an S-locus.

Fig. 2.

Two part figure shows in A the distribution of total branch length for the ~10% most highly expressed genes in stigma/style tissue and in B species relationships between four Phlox species.

PdPIRK displays extreme polymorphism consistent with a signature of negative frequency-dependent selection. (A) The distribution of total branch length (substitutions per site) for the top ~10% most highly expressed genes in stigma/style tissue within the S-locus associated region. Gene trees were constructed using within-species allele sequences from P. drummondii individuals. The distribution contains a single outlier, PdPIRK, which is indicated by a blue asterisk. Gene trees of PdPIRK and two other genes are plotted along a standard axis of evolutionary change to exemplify branch length variation. (B) A schematic of the species relationships between four closely related Phlox species. Multispecies gene trees of PdPIRK and two other genes are plotted along a standard axis of evolutionary change with tips colored by species identity (P. drummondii in blue, Phlox roemeriana in yellow, Phlox cuspidata in light green, and Phlox pilosa in dark green). PdPIRK displays persistent allele sharing across species splits.

An additional signature of negative frequency-dependent selection is trans-specific polymorphism (TSP), which describes persistent sharing of alleles across species splits due to common ancestry (25, 26). To characterize TSP, we called variants in candidate genes within the S-locus associated genomic region from long-read sequencing data to construct multiple alleles sampled from each of four closely related Phlox species. We generated maximum likelihood gene trees and find that the gene with exceptionally long branch lengths within P. drummondii demonstrates persistent allele sharing between related Phlox species consistent with a pattern of TSP (Fig. 2B).

Within the genomic region containing the Phlox S-locus, a single gene matches both predictions of 1) high and restricted stigma/style expression and 2) exceptional polymorphism as demonstrated by two independent analyses. We therefore hypothesize that this gene, which we name P. drummondii Pistil Identity Receptor Kinase (PdPIRK), controls self-pollen recognition in Phlox.

Genotypic Variation at PdPIRK Predicts Cross-Compatibility.

We test the prediction that PdPIRK causes self-pollen recognition by confirming that genotypic variation predicts crossing success among individuals with shared alleles. Specifically, we expect that crosses between individuals with the same genotype will be recognized as self and produce no fruit while crosses between individuals with different genotypes will successfully produce fruit. To test this prediction, we crossed two unrelated individuals to generate 10 full-sibling offspring each with one of four possible S-genotypes (Fig. 3A). In our full diallel cross, we recover four groups of plants with near-identical crossing phenotypes corresponding to each of these four segregating S-genotypes (Fig. 3B). Our previous crossing experiments reveal that Phlox SI is sporophytic, meaning that pollen self-identity is encoded by the diploid genotype of the anther-bearing plant in which the pollen developed rather than the haploid genotype of each pollen grain (18). Allelic dominance is a common feature of sporophytic SI, and we observe a dominance hierarchy in which allele S3 is recessive to the other three codominant alleles captured in this cross (Fig. 3A) (27). For example, individuals A2 (S1S3) and A3 (S2S3) are reciprocally cross-compatible despite sharing an allele S3.

Fig. 3.

Multi-part figure shows in A, a cross compatibility table and in B, P C R amplification of P d P I R K alleles for individuals.

PdPIRK genotype predicts cross-compatibility phenotype. (A) A cross between an S1S2 individual and S3S4 individual generated 10 full siblings with four possible S-locus genotypes. Results of a full diallel cross among siblings recover four cross-compatibility groups, consistent with four S-locus genotypes segregating. Individuals are listed by their ID enumerated A0–A9. Inferred S-locus genotype based on cross-compatibility is given in parentheses. Each individual served as both a pistil parent (rows) and pollen parent (columns) for all possible cross combinations. The resulting number of fruits for each cross (out of six possible) is given and shaded based on compatibility, with compatible crosses shaded gray. As is common in systems with sporophytic SI, we recover dominance interactions between alleles. In both pollen and pistil tissues, allele S3 is recessive to all other alleles which are codominant with each other (S3 < S1 = S2 = S4). For example, individual A2 is reciprocally cross-compatible with individual A3 despite sharing an S3 allele. (B) PCR-amplification with allele-specific PdPIRK primers using gDNA for all 10 individuals reveals that PdPIRK genotype corresponds perfectly with inferred S-locus genotype.

To determine genotypic variation at PdPIRK, we generated long-read transcriptomes of stigma/style tissue for one individual of each cross-compatibility group and recover two alleles of PdPIRK in each transcriptome. As expected, these four alleles display high polymorphism (Nucleotide Pairwise Identity = 74.3%). Leveraging this exceptional variation, we developed a presence/absence PCR-genotyping assay using primers designed to specifically and uniquely amplify each allele (SI Appendix, Table S3). For all 10 individuals in our diallel cross, genotypic variation at PdPIRK perfectly predicts crossing success among these individuals (Fig. 3B). We refer to these alleles of PdPIRK as S1, S2, S3, and S4 enumerated by the order in which alleles were identified and sequenced.

PdPIRK Controls Compatibility in an Allele-Specific Pattern.

We functionally validate that PdPIRK causes self-pollen recognition using virus-induced gene silencing (VIGS) to knockdown its expression (28). Phlox displays developmental variation in the SI response which we exploited to force self-fertilization of one S2S4 plant and produce a family of individuals with possible genotypes S2S2, S2S4, and S4S4. We used our long-read transcriptomes to design a silencing vector specifically targeting allele S4 and infected S4S4 homozygous individuals (n = 5). VIGS is heterogenous such that not every flower on an infected plant will experience silencing. We therefore cosilence an essential gene in the anthocyanin pigment biosynthesis pathway, dihydroflavonol 4-reductase (PdDFR), as a marker to indicate silencing in floral tissue (Fig. 4 A and B and SI Appendix, Fig. S4) (29). As confirmed by qPCR, stigma/styles from visibly white flowers have reduced S4 expression compared to pistils from pigmented flowers (% expression of pigmented flowers, mean ± SE = 38.4 ± 13.5) (Fig. 4C). Following self-pollination, pigmented/unsilenced flowers set a single fruit across all replicate S4S4 homozygous plants, compared to white/silenced flowers that set fruit in 60% (SE = 10.75%) of self-pollinations (tfruit set≠0 (4) = 5.58, P = 0.0051) (Fig. 4D). This observed increase in self-compatibility is mediated by a reduced SI response at the pollen–pistil interface as demonstrated by quantifying the number of pollen tubes germinated on silenced vs. unsilenced stigmas (z = −4.82, P < 0.001) (Fig. 4 A and E). We replicate this result using a silencing vector targeting allele S1 in S1S1 plants (n = 4). As confirmed by qPCR, stigma/styles from visibly white flowers have reduced S1 expression compared to pistils from pigmented flowers (% expression of pigmented flowers, mean ± SE = 27.3 ± 9.86) (Fig. 4C). We again observe a significant increase in fruit set and pollen tube germination following self-pollination in silenced vs. unsilenced flowers (fruit set mean ± SE = 56.2 ± 12; tfruit set≠0 (3) = 4.70, P = 0.018; pollen tube z = −4.21, P < 0.001) (Fig. 4 A, F, and G). Control experiments silencing PdDFR alone reveal no effect of our experimental manipulation protocol on self-fruit set (tfruit set≠0 (5) = 1, P = 0.3632) (SI Appendix, Fig. S3). We therefore conclude that PdPIRK is a necessary component of functional self-incompatibility.

Fig. 4.

Multi-part figure shows pollen tube images, relative expression in silenced tissue, and line graphs of fruit set and pollen tube number for silenced and unsilenced plants.

Silencing PdPIRK affects compatibility in a genotype-dependent pattern. (A) Representative images of stigmas following cross-pollination. White arrows indicate pollen tubes. Pollen tubes do not germinate on stigmas from pigmented/unsilenced flowers for any cross type. For stigmas from S4 silenced flowers of heterozygous S2S4 plants, pollen tubes germinate if pollen is S4S4 but not S2S2. For stigmas from S1 silenced flowers of heterozygous S1S4 plants, pollen tubes germinate if pollen is S1S1 but not S4S4. (Scale bar, 100 μm). (B) Unsilenced flowers are fully pigmented while silenced flowers are white to varied degrees (Scale bar, 1 cm.) (C) Percent expression of PdPIRK in stigma/style tissue from white flowers compared to pigmented flowers as quantified by qPCR. Mean ± SE is plotted along with sample data. Points are colored based on the PdPIRK allele amplified, with S1 shown in blue, S2 in yellow, and S4 in green (n = 5 S4S4 plants, n = 5 S2S4 plants, n = 4 S1S1 plants, n = 3 S1S4 plants). (D) Silencing PdPIRK allele S4 specifically causes an increase in fruit set (S4S4 × S4S4 n = 40 pistils; S2S4 × S4S4 n = 40 pistils; S2S4 × S2S2 n = 40 pistils) and (E) pollen tube number (S4S4 × S4S4 n = 20 pistils; S2S4 × S4S4 n = 20 pistils; S2S4 × S2S2 n = 20 pistils) depending on pollen genotype. (F) Silencing PdPIRK allele S1 specifically causes an increase in fruit set (S1S1 × S1S1 n = 32 pistils; S1S4 × S4S4 n = 24 pistils; S1S4 × S1S1 n = 24 pistils) and (G) pollen tube number (S1S1 × S1S1 n = 16 pistils; S1S4 × S4S4 n = 12 pistils; S1S4 × S1S1 n = 12 pistils) depending on pollen genotype. Homozygous pistil genotypes are shown as squares with solid lines and heterozygous pistil genotypes are shown as circles with dashed lines. Colors correspond to pollen genotype. Differences in fruit set were assessed using Student’s t Test vs. zero and means ± SE are plotted (D and F). Differences in pollen tube number were assessed using generalized linear mixed-effects models and model predictions with 95% CI are plotted (E and G). Corresponding statistical significances are indicated directly on plots (*P < 0.05, **P < 0.01, ***P < 0.001, n.s. = P > 0.05). Lines connecting paired measurements for the same cross type between unsilenced and silenced treatments show response to silencing treatment.

We demonstrate that PdPIRK activity is allele-specific, confirming its role in recognizing self-pollen identity per se, as opposed to operating elsewhere in the SI pathway. To functionally validate that PdPIRK controls recognition, we infect S2S4 heterozygous plants (n = 5) with a silencing vector uniquely targeting allele S4. Confirmed by qPCR, this treatment results in reduced S4 expression in white versus pigmented flowers while S2 expression is much less affected (% expression of pigmented flowers, mean ± SE = 31.1 ± 9.1 for S4; 88.1 ± 9.84 for S2) (Fig. 4C). As predicted, silencing allele S4 causes an increase in compatibility with S4S4 homozygous pollen (mean ± SE = 73.1 ± 10.13; tfruit set≠0 (4) = 7.215, P = 0.002). In contrast, S2S2 pollen is consistently recognized as self and rejected by pistils from silenced flowers (mean ± SE = 2.5 ± 2.5; tfruit set≠0 (4) = 1, P = 0.374) (Fig. 4D). Pollen tube data similarly reveal such allele-specific activity (S4S4 pollen z = −4.12, P < 0.001; S2S2 pollen z = −1.67, P = 0.095) (Fig. 4 A and E). We replicate this result by uniquely silencing allele S1 in S1S4 plants (% expression of pigmented flowers, mean ± SE = 35.7 ± 5.1 for S1; 112.8 ± 26.0 for S4). As predicted, we observe a significant increase in compatibility with S1S1 homozygous pollen and no increase in compatibility with S4S4 homozygous pollen (S1S1 pollen mean ± SE = 54.2 ± 11.0; tfruit set≠0 (2) = 4.24, P = 0.032; S4S4 pollen mean ± SE = 4.2 ± 4.2; tfruit set≠0 (2) = 1, P = 0.423) (Fig. 4F). Pollen tube data similarly reveal such allele-specific activity (S1S1 pollen z = −3.61, P < 0.001; S4S4 pollen z = 0.495, P = 0.62) (Fig. 4 A and G). We therefore conclude that PdPIRK controls self-pollen recognition in Phlox.

PdPIRK Encodes a Lectin Receptor-Like Kinase.

PdPIRK is annotated as a receptor-like kinase (RLK), a large and widespread family of transmembrane proteins in flowering plants (30). Amino acid sequence analysis suggests that PdPIRK is a member of the G-type subclass of lectin receptor-like kinases (LecRLKs) in particular, a group of cell surface receptors known for their ability to perceive and transduce signals from the environment (31, 32). The G-type subclass is marked by an extracellular region containing a bulb-type lectin, S-locus glycoprotein (SLG), and Plasminogen/Apple/Nematode (PAN) domain (30, 33) (SI Appendix, Fig. S6).

We reconstruct evolutionary relationships among amino acid sequences containing these domains (G-type LecRLKs) and related sequences containing legume lectin domains (L-type LecRLKs) (34). Using sequences from 10 plant genomes, we find that PdPIRK is nested within the G-type LecRLK clade, corroborating its identity as a member of this subclass (SI Appendix, Fig. S7 and Table S6). Notably, the gene responsible for self-pollen recognition in the distantly related Brassicaceae (SRK) is also a G-type LecRLK. (Fig. 1A and SI Appendix, Figs. S6 and S7 and Table S7) (35, 36).

Patterns of sequence variation among alleles reveal elevated diversity in the extracellular region of PdPIRK. We find a concentrated run of sites with an excess of nonsynonymous substitutions (ω > 1) contained within the extracellular SLG domain, consistent with diversifying selection (SI Appendix, Fig. S5 and Table S7). This observation supports the interpretation that the PdPIRK protein may be recognizing a polymorphic, pollen expressed ligand via binding interactions in the SLG domain. Interestingly, the hypervariable region of SRK also overlaps with the SLG domain and is responsible for binding the pollen expressed ligand, SCR/SP-11 (37, 38).

Discussion

Here, we reveal the identity of a previously uncharacterized S-locus by presenting multiple, independent lines of evidence that P. drummondii Pistil Identity Receptor Kinase (PdPIRK) causes self-pollen recognition in Phlox. PdPIRK is located within the genomic region associated with the S-locus in Phlox and is the only gene in this region to match two key predictions for how S-loci function and evolve (18). First, we find a pattern of high expression localized to stigma/style tissue, the site where self-pollen recognition occurs. Second, reconstructing evolutionary relationships among alleles both within and between species demonstrates exceptional polymorphism, a classic signature of negative frequency-dependent selection. Moreover, we find a perfect association between PdPIRK genotype and compatibility phenotype in a diallel cross among individuals sharing S-alleles. Finally, we functionally validate PdPIRK by knocking down its expression which increases compatibility in an allele-specific pattern confirming its role in recognizing pollen identity.

Homomorphic S-loci have evolved independently a minimum of 14 times throughout flowering plant diversification (7). Our identification of PdPIRK represents an apparent case of genetic convergence among these S-loci; self-pollen recognition in Brassica is also caused by a G-type LecRLK (11, 36). Among the five previously characterized homomorphic S-loci, each achieves self-pollen recognition via unique molecular pathways, demonstrating that the repeated evolution of SI can and does proceed through nonparallel genetic routes (12, 13, 36, 39). Our findings suggest that this lack of convergence is not a persistent feature of homomorphic S-locus evolution. Recent identification of novel S-loci in heteromorphic SI systems similarly reveals such molecular parallelism. For example, the S-loci of Primula, Turnera, and likely Linum contain brassinosteroid inactivating enzymes which enforce outcrossing by generating dimorphic floral forms (40,41, 42). Collectively, the repeated co-option of members of the same gene families to function in SI suggests the presence of constraints or paths of least resistance in the kinds of genes that can evolve to cause self-pollen recognition.

The self-incompatibility response in Brassica and Phlox share additional physiological characteristics. Both taxa produce dry stigmas, reject self-pollen prior to stigma binding, and encode pollen identity sporophytically (18, 43, 44). These observations motivate future research exploring the extent of convergence between the two SI mechanisms. Identification of interacting molecules in the Phlox SI pathway, including the pollen-expressed ligand that binds PdPIRK, will clarify whether similar genes operate throughout the pollen rejection response in both systems. Several species with currently unknown S-loci possess similar reproductive features (e.g., species within the Asteraceae) and our findings suggest that G-type LecRLKs may be promising initial gene candidates (45,46, 47).

Molecular mechanisms of self/non-self-discrimination are essential to diverse biological processes. Characterizing the genetic basis of self-recognition contributes insight into the function and evolution of these systems and is a foundational step toward future modifications or manipulations. Identifying the genetic control of self-pollen recognition has widespread applications for agriculture and conservation. For example, crop yields, breeding program success, and the likelihood of domestication are all influenced by a plant’s ability to self-fertilize (48). For threatened and endangered species, knowledge of the genetic basis of SI can be applied during management to alleviate mate limitation and increase the likelihood of species persistence (49,50, 51).

Independent evolutions of SI provide natural replication of evolutionary processes which can be leveraged to reveal patterns in how self-recognition evolves. Given the limited number of known S-loci, it appeared that the common phenotype of homomorphic SI represented a constellation of nonparallel genetic mechanisms; our identification of PdPIRK suggests that convergence in S-locus genes may be more common than previously seemed (19). Our study demonstrates how using specific predictions for S-locus evolution can narrow candidate genes to pinpoint the underlying genetic control of self-pollen recognition (20). We outline a strategy that can be applied broadly to potentially identify candidate S-locus genes across diverse and nonmodel taxa. Identifying the gene(s) responsible for self-pollen recognition across angiosperm diversity will continue to elucidate the varied mechanisms plants use to achieve self-recognition and clarify the extent of molecular convergence and constraint in the evolution of SI.

Materials and Methods

Plant Collection and Care.

We collected seeds from naturally occurring P. drummondii in May of 2019 which served as parents for the families used in this study (SI Appendix, Fig. S1). All plants were grown under standardized conditions at the Arnold Arboretum of Harvard University. We germinated plants by first incubating seeds in 500 ppm gibberellic acid in water for 2 d and subsequently cold stratified planted seeds at 4 °C for 10 d. Plants were then transferred to 4-inch pots with Pro-Mix HP Myccorhizae potting media and maintained in growth chambers kept at a daytime temperature of 23 °C and a nighttime temperature of 18 °C, with 16 h of supplemented light.

Analyses of Tissue-Specific Expression.

We accessed mRNA sequence data of five tissue types (stigma/style, anther, pollen, leaf, stem) from Burgin et al. (18). We aligned reads to the P. drummondii genome assembly (NCBI BioProject: PRJNA1219593) using a 2-pass alignment with STAR v2.7.11b (52). Abundance calls were generated using RSEM v1.3.0 and used as input for downstream analyses in R v.4.2.3 (53). Read counts were normalized across samples using the TMM method, which enables comparison across samples expected to have substantially different compositions (e.g., different tissue types). Genes with restricted expression in stigma/style tissue were identified by characterizing differentially expressed genes pairwise between stigma/style samples and each other tissue type independently in edgeR (54, 55). The quasi-likelihood F-test was used to identify differentially expressed genes using the glmQLFTest function. We adjusted P-values via the Benjamini–Hochberg Procedure. Genes meeting the criteria of 1) greater than fivefold change and 2) a significance threshold of P < 0.01 in all pairwise tissue comparisons were considered restricted in expression to the stigma/style.

The genomic region containing the S-locus in P. drummondii contains 727 genes. Based on normalized expression averaged across biological replicates (n = 6), the most highly expressed gene in stigma/style tissue within this region is Pd52568 which we name PdPIRK. This gene is also restricted in expression to stigma/style tissue, and we confirm this pattern using real time qPCR of leaf, corolla, and stigma/style tissue from three biological replicates of S4S4 homozygous plants (see below for genotyping methods). Tissue was collected under RNase-free conditions and flash-frozen on liquid nitrogen. A single leaf and corolla were collected from each plant. To collect stigma/style tissue, we used fine-tip forceps to dissect out the pistil from the flower and then remove the ovary. We pooled stigma/style tissue from eighteen flowers of each plant collected on the first or second day the flower opened. All tissue was stored at −80 °C until RNA extraction.

We finely ground tissue on liquid nitrogen with a sterile pestle and extracted total RNA using the Spectrum Total RNA Kit (Sigma-Aldrich, St. Louis, MO). We removed DNA by performing an on-column digestion using the DNase I Digestion Set (Millipore Sigma, Burlington, MA). Yield and purity were assessed by Nanodrop before synthesizing cDNA via the NEB ProtoScript First Strand cDNA Synthesis Kit (New England Biolabs, Ipswitch, MA).

Each cDNA sample was amplified and quantified using Brilliant SYBR Green qPCR Mastermix (Agilent, Santa Clara, CA) with primers targeting PdPIRK allele S4 and the housekeeping gene, PdEf1α. All samples were amplified for 40 cycles with an annealing temperature of 60 °C. Critical threshold (Ct) cycle values were obtained using the Stratagene Mc3005P instrument (Agilent, Santa Clara, CA). We performed two or three technical replicates for each amplification and averaged Ct values across these replicates. The difference between the average critical threshold values for PdEf1α and PdPIRK was calculated (ΔCt) and linearized (2−ΔCt). To determine if PdPIRK expression varied across tissue types, we performed a two-way ANOVA and evaluated significant differences with post hoc Tukey HSD tests.

Phylogenetic Analyses of Polymorphism.

Because we have an a priori expectation that the gene responsible for self-pollen recognition will be among the most highly expressed in stigma/style tissue genome-wide, we focus analyses of polymorphism to the top ~10% of genes most highly expressed within the S-locus associated region (n = 73). We used our stigma/style transcriptomes to generate 12 phased alleles for each of these 73 genes. To call variants, we used the GATK4 Joint Genotyping best practices workflow for RNAseq data (56). We filtered variants to include only single-nucleotide polymorphisms with GQ > 10 and a minimum read depth of 5 using SAMtools v1.17 and phased variant calls using WhatsHap v2.3 (57, 58). We reconstructed alleles by extracting predicted coding sequences from the P. drummondii reference genome assembly and using SAMtools to merge with the phased variant calls.

Nucleotide sequences were converted to predicted amino acid sequences and aligned using the ClustalW algorithm in Geneious v11.0.24. Phylogenetic relationships among alleles for each gene were estimated using random accelerated maximum likelihood (RAxML) with the LG + G+F model of amino acid replacement (59). For each gene, the total branch length (substitutions per site) was quantified for the best scoring tree. To formally test for statistical outliers, we implemented Rosner’s Test for Outliers using the EnvStats package in R v.4.2.3 (60). To ensure that variation in sequence coverage between genes does not bias our ability to identify variants and ultimately branch lengths, we tested for a correlation between average gene expression in stigma/style tissue and total gene tree branch length and found no correlation when PdPIRK is removed from the dataset (SI Appendix, Fig. S2; adjusted R-squared = −0.0078, P = 0.503).

To determine whether PdPIRK displays a pattern of trans-specific polymorphism, we curated long-read sequencing from (NCBI BioProject: PRJNA1219593) of four closely related Phlox species: P. drummondii (n = 3), P. roemeriana (n = 3), P. cuspidata (n = 4), and the outgroup P. pilosa (n = 1). High molecular weight DNA was extracted and sequenced via Oxford Nanopore Technologies, and raw reads processed as in Garner et al. (61). Reads were aligned to the P. drummondii reference assembly using minimap2 v2.28-r1209 (62). We called SNPs using mpileup and call algorithms in bcftools suite v1.17 and removed SNPs with QUAL ≤ 20 and/or read depth ≤ 5 (57). We applied called variants to the predicted coding sequences of the P. drummondii reference genome using the consensus command in bcftools for three genes within the S-locus associated region: PdPIRK/Pd52568, Pd51610, and Pd51965. We aligned nucleotide sequences using the ClustalW algorithm in Geneious v11.0.24. Phylogenetic relationships among alleles for each gene were estimated using random accelerated maximum likelihood (RAxML) with the LG + G+F model of nucleotide replacement (59).

Associating PdPIRK Genotype with Cross-Compatibility Phenotype.

To test whether genotypic variation at PdPIRK predicts cross-compatibility phenotype, we began by crossing two individuals to generate n = 10 full sibling offspring (given IDs A0–A9) with four possible S-locus genotypes. For clarity, we refer to parent 1’s alleles as S1 and S2 and parent 2’s alleles as S3 and S4. We performed a full diallel cross among all 10 offspring to infer S-locus genotype based on cross-compatibility. Specifically, we expect that crosses between individuals sharing S-alleles will be incompatible and produce no fruit while crosses between individuals with different S-alleles will be compatible and produce fruit.

Crosses were performed by pollinating flowers 1 to 2 d following floral opening using forceps to transfer pollen onto stigmas. Each flower can produce a single fruit, and we pollinated six flowers per cross for a total of six possible fruits. We quantified fruit set a minimum of 1-wk postpollination to ensure fruit had time to develop. We previously showed that variants conferring self-compatibility segregate within P. drummondii which can confound patterns of cross-compatibility (18). Therefore, we screened plants for complete SI by performing eight self-pollinations per plant and found that all individuals set zero self-fruits.

After organizing individuals into groups with similar crossing behavior, we find four cross-compatibility groups consistent with four possible S-locus genotypes. As is known for other sporophytic SI systems, we find dominance interactions among alleles. In this cross, allele S3 is recessive to all other alleles which are codominant with each other (S3 < S1 = S2 = S4). To test whether PdPIRK genotype correlates with inferred S-locus genotype based on crossing phenotype, we performed full-length transcript RNA sequencing on stigma/style tissue for one individual of each cross-compatibility group. Based on these sequences, we designed primers to specifically amplify each of the four PdPIRK alleles recovered. We used these primers to PCR-amplify genomic DNA (gDNA) from each individual and determine PdPIRK genotype based on the presence/absence of amplified DNA (see PacBio Iso-Seq of Stigma and Style Tissue for details).

PacBio Iso-Seq of Stigma and Style Tissue.

We collected stigma/style tissue using fine-tip forceps to dissect out the pistil from the flower and remove the ovary. We pooled tissue from eighteen flowers for one plant of each inferred S-genotype (plant IDs: A5, A6, A7, A9). Pistils were collected from flowers on the first or second day the flower opened, and tissue was stored at −80 °C until RNA extraction. We finely ground tissue on liquid nitrogen with a sterile pestle and extracted total RNA using the Spectrum Total RNA Kit (Sigma-Aldrich, St. Louis, MO). We removed DNA by performing an on-column digestion using the DNase I Digestion Set (Millipore Sigma, Burlington, MA). Yield and purity were assessed by Nanodrop, and samples were screened for RNA degradation by TapeStation (Agilent, Santa Clara, CA).

Full-length transcript sequencing was performed by Novogene using the PacBio SMRT sequencing platform (PacBio, Menlo Park, CA). We used RNA-Bloom2 to assemble HiFi reads into de novo transcriptomes which were queried against the PdPIRK/Pd52568 sequence from the P. drummondii genome using BLASTn (63, 64). We predict each plant to express two unique PdPIRK alleles and our short-read RNAseq demonstrates that its expression is extremely high in the stigma/style. Therefore, we extracted sequences of the two hits with highest read coverage. In this process, we recovered sequences from individuals as predicted by cross-compatibility (e.g., individual A7 shared one sequence with A9 and no sequences with A6). For each allele, we designed 25 bp primers that uniquely bind to one allele but not the other three. A modified CTAB extraction was used to extract gDNA from leaf tissue for all 10 individuals in our diallel cross. Each sample was amplified for 28 cycles with an annealing temperature of 65.5 °C for primer pairs S2 and S3 and 66.5 °C for primer pairs S1 and S4. Presence/absence of DNA amplification was assessed by electrophoresis (Fig. 2C).

Virus-Induced Gene Silencing (VIGS) of PdPIRK.

VIGS constructs were initially acquired from the Arabidopsis Biological Resource Center (pTRV1 accession CD3-1039; pTRV2-MCS accession CD3-1040) (28). Based on the P. drummondii genome assembly, we identified a 300 bp sequence unique to the coding region of dihydroflavonol 4-reductase (PdDFR). We used Twist Biosciences (South San Francisco, CA) to synthesize this sequence flanked by BamH I and EcoR I digestion sites. Synthesized fragments were cloned into the pTRV2-MCS plasmid by restriction cloning and used for the PdDFR only control experiment. To functionally validate the effect of PdPIRK on self-incompatibility, we used our long-read stigma/style transcriptomes to design a 225 bp sequence uniquely targeting the S4 and S1 alleles separately. We used Twist Biosciences to synthesize a fragment containing either sequence flanked by XmaI and MspI digestion site, and restriction cloning to insert fragments 3’ of the PdDFR target sequence into the pTRV2-PdDFR plasmid.

We electroporated pTRV2-PdDFR, pTRV2-PdDFR-PdPIRK(S4), pTRV2-PdDFR-PdPIRK(S1), and pTRV1 constructs into Agrobacterium tumefasciences (GV3101) and positively selected transformants by growing colonies overnight at 28 °C on YEB agar plates containing kanamycin, gentamicin, and rifampicin antibiotics. Colonies carrying the correct construct were initially verified using PCR and confirmed with direct sequencing by Eton Bioscience (San Diego, CA). We used single colonies to inoculate 3 mL overnight YEB cultures grown at 28 °C in the presence of kanamycin and gentamycin antibiotics which was subsequently used to inoculate a 50 mL overnight culture incubated under the same conditions. To prepare bacteria for inoculation, we pelleted by centrifugation and resuspended cells in freshly prepared infiltration buffer (10 mM MES, 200uM acetosyringone, 10 mM MgCl2). All cultures were normalized to OD600 = 10 and pTRV1 cells were separately mixed in a 1:1 volume with pTRV2-PdDFR, pTRV2-PdDFR-PdPIRK(S4) or pTRV2-PdDFR-PdPIRK(S1) cells. These mixtures were incubated at room temperature with nutation for 2 to 3 h before transforming plants.

Plants were grown for 1-mo postgermination under the standardized conditions described above. To control for plant fertility, we screened all individuals for outcross fruit set and pollen viability. Individuals setting fewer than five fruits following outcross pollination using pollen from an unrelated individual (out of eight total flowers crossed) and/or less than 90% pollen viability were removed from the experiment. Pollen viability was quantified using a modified Alexander’s Stain protocol (65). Briefly, we collected pollen from three flowers per plant and stored samples overnight at 4 °C in 70% ethanol. Alexander Stain was added to achieve a final concentration of 0.01% Malachite Green, 0.05% Acid Fuchsin, 0.005% Orange G, 4% glacial acetic acid, 25% glycerol, and 10% ethanol. Pollen was incubated in the stain for ~6 h at room temperature. We placed a 50uL volume onto a glass slide and heated over a Bunsen burner until liquid evaporated. Pollen was visualized in the brightfield and rhodamine (544 nm) channels at 5× magnification using an Axio Imager.A2 (Zeiss, Jena, Germany) microscope with ZEN 2.3 pro software. We automated quantification of the proportion of viable pollen grains in ImageJ 1.53k and confirmed all counts manually (66). Pollen grains were considered viable if they stained purple and fluoresced in the Rhodamine channel. Because our previous work demonstrates variation in the SI response segregating within P. drummondii, we further screened plants for complete SI. Individuals setting any fruit following self-pollination (out of eight total flowers crossed) were removed from the experiment.

To encourage lateral meristem initiation throughout the plant, branches were pruned 3 d prior to transformation. We used 28-gauge needles to inject the pTRV1 + pTRV2-PdDFR, pTRV2-PdDFR-PdPIRK(S1) or pTRV1 + pTRV2-PdDFR-PdPIRK(S4) inoculum into all visible axillary meristems. A total of 10 plants were treated with pTRV1 + pTRV2-PdDFR, 10 with pTRV1 + pTRV2-PdDFR-PdPIRK(S4) (n = 5 S2S4 plants and n = 5 S4S4 plants), and 10 with pTRV1 + pTRV2-PdDFR-PdPIRK(S1) (n = 5 S1S4 plants and n = 5 S1S1 plants). Twenty-six of the thirty treated plants began producing white flowers 2 to 5 wk after transformation. We considered a flower white if approximately 25% or more of the corolla was visibly unpigmented. To confirm that white flowers indicate successful PdPIRK silencing in pTRV2-PdDFR-PdPIRK(S4) and pTRV2-PdDFR-PdPIRK(S1) treated plants, we collected stigma/style tissue for each individual by pooling 18 open flowers of either floral color type (white or pigmented). Total RNA was extracted and converted to cDNA and we used quantitative real time PCR to quantify expression of PdPIRK allele S4 or S1 as described above. For heterozygous plants, we additionally quantified expression of PdPIRK allele S2 or S4 to confirm allele-specific silencing. Expression of the housekeeping gene, PdEF1a, was used to normalize PdPIRK expression in each sample. Standard curves were run for all primer pairs to confirm efficiency. The relative expression of PdPIRK in white versus pigmented flowers was calculated for each plant using the ΔΔCt method (67).

Quantifying the Effect of Silencing PdPIRK on Self-Incompatibility.

We quantified the effect of silencing PdPIRK allele S4 on SI by performing a series of controlled pollinations assessing both fruit set and pollen tube germination. Cross types in this experiment include S4S4 homozygous plants receiving self-pollen, S2S4 heterozygous plants receiving pollen from an S2S2 homozygous plant, and S2S4 heterozygous plants receiving pollen from an S4S4 homozygous plants. We repeated this experiment with silencing of PdPIRK allele S1 and performed the following cross types: S1S1 homozygous plants receiving self-pollen, S1S4 heterozygous plants receiving pollen from an S1S1 homozygous plant, and S21S4 heterozygous plants receiving pollen from an S4S4 homozygous plants.

To assess fruit set, eight pigmented/unsilenced and eight white/silenced flowers per individual were pollinated for each cross type. Because all plants included in the experiment were initially screened for complete SI, removing anthers predehiscence to prevent incidental self-pollination was unnecessary. Flowers were pollinated 1 to 2 d following floral opening by using forceps to transfer pollen onto stigmas. We quantified fruit set a minimum of 1-wk postpollination to ensure fruit had time to develop. Each flower can produce a single fruit which we recorded as binary outcome data (1 for fruit, 0 for no fruit). For several of our treatments, zero unsilenced flowers set fruit in our experiment which rendered model-based statistical approaches infeasible due to the lack of variance. We therefore implemented a Student’s t Test in R v.4.2.3 to determine if fruit set in silenced treatments was statistically different from zero for each cross type separately.

To assess pollen tube germination, four pigmented/unsilenced and four white/silenced flowers per individual were pollinated for each cross type. We removed calyces with attached pistils from plants 24 h after pollination and submerged tissue in formalin acetic acid (FAA) for an additional 24 h at room temperature. Tissue was transferred to 70% ethanol for long-term storage at 4 °C. Following a minimum of 1 mo in 70% ethanol, tissue was incubated in 5 M sodium hydroxide overnight at room temperature. Pistils were then dissected out of calyces, stained in 0.1% aniline blue in .1N K3PO4 for 2 h, and mounted on glass slides in 50% glycerol. We visualized pollinated pistils in the DAPI channel (358 nm) at 10× magnification using an Axio Imager.A2 (Zeiss, Jena, Germany) microscope with ZEN 2.3 pro software and manually quantified the number of pollen tubes present. We implemented a generalized linear mixed-effects model in R v.4.2.3 using the R package lme4 v. 1.1-34 (68). Our model included flower color (pigmented/unsilenced vs. white/silenced) as a fixed effect and plant ID as a random effect.

Characterizing Homology with G-Type Subclass LecRLKs.

We generated amino acid sequences of PdPIRK alleles identified by IsoSeq and annotated predicted protein motifs using DeepTMHMM and SIB Swiss Motif Scan (69, 70) (SI Appendix, Fig. S5). We queried the P. drummondii genome against the PdPIRK using BLASTn to identify an additional lectin domain containing receptor-like kinase sequence, Pd41729, which is annotated outside of the S-associated region (63, 64). Lectin domain containing receptor-like kinase sequences from diverse species were identified using InterPro (G-type LecRLKs: IPR024171; L-type LecRLKs: IPR050528) from 10 plant genomes (Oryza sativa, Zea mays, Arabidopsis thaliana, Lactuca sativa, Capsella grandiflora, Brassica rapa, Brassica napus, Brassica oleracea, Aquilegia coerulea, and Vitis vinifera). We included two additional accessions of known SRK sequences from NCBI (AB054720.1, Z30211.1) (SI Appendix, Table S6). Sequences were aligned using the ClustalW algorithm in Geneious v11.0.24. Phylogenetic relationships among alleles for each gene were estimated using random accelerated maximum likelihood (RAxML) with the LG + G+F model of amino acid replacement (59) (SI Appendix, Fig. S6).

Detecting Diversifying Selection.

If PdPIRK binds a pollen expressed ligand to cause self-pollen recognition, we expect the domain responsible for self-pollen recognition to display elevated variation maintained by diversifying selection. To test for signatures of elevated variation across the PdPIRK sequence, we estimated the ratio of nonsynonymous to synonymous substitutions (ω) using the CODEML program in PAML v4.10 using the M8 model on the four alleles recovered via long-read RNA sequencing (alleles S1–S4) (71). We calculated posterior probabilities for each codon site having evolved under each of three different selective scenarios: diversifying selection (ω > 1), purifying selection (ω ≤ 0.05), and intermediate selection (0.05 < ω ≤ 1). We considered a codon site to have strong support for diversifying selection if it had a significant posterior probability (pp > 0.95) of belonging to the diversifying selection group (SI Appendix, Fig. S6).

Supplementary Material

Appendix 01 (PDF)

Acknowledgments

We thank Andrea Berardi, Boris Igić, Karolis Ramanauskas, Christina Steinecke, Elena Kramer, Felix Wu, and Patrick McKenzie for guidance and comments on the study. Essential plant care was provided by the Arnold Arboretum Greenhouse Staff, and we especially thank Megan Ardolino, Mike Barrett, Aberdeen Bird, and Maya Levine. Three anonymous reviewers greatly enhanced the quality of this study, and we thank them for their time and attention to our work. This project was funded by NSF Award IOS-19061133 to R.H., a Society for the Study of Evolution Rosemary Grant Award to G.A.B., and a Society for Integrative and Comparative Biology Grants in Aid of Research Award to G.A.B. R.H. is supported by an NIH Award 1R35GM142742.

Author contributions

G.A.B., N.F.L., and R.H. designed research; G.A.B. and N.F.L. performed research; G.A.B. analyzed data; and G.A.B. and R.H. wrote the paper.

Competing interests

The authors declare no competing interest.

Footnotes

This article is a PNAS Direct Submission.

Contributor Information

Grace A. Burgin, Email: grace_burgin@g.harvard.edu.

Robin Hopkins, Email: rhopkins@fas.harvard.edu.

Data, Materials, and Software Availability

Raw sequencing reads for tissue-specific RNA sequencing can be accessed via the NCBI sequence read archive (SUB15344310). The P. drummondii genome assembly and annotation are hosted by Zenodo and accessible at https://doi.org/10.5281/zenodo.15498773. Long-read DNA sequences used to construct gene trees for the four Phlox species are available via NCBI (BioProject: PRJNA1219593). Long-read RNA sequences of stigma/style transcriptomes are deposited in the NCBI sequence read archive (SUB15389546), and assembled transcriptomes are available via the Dryad Digital Repository (https://doi.org/10.5061/dryad.zgmsbccr3). All other phenotyping data including fruit set, pollen tube germination, floral scans for flowers used in silencing experiments, qPCR data, and all sequence alignments used to construct gene trees are available via the Dryad Digital Repository (https://doi.org/10.5061/dryad.zgmsbccr3). All codes required for the analyses presented here are available at https://github.com/graceburgin/phlox_SI. Previously published data were used for this work (18).

Supporting Information

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Appendix 01 (PDF)

Data Availability Statement

Raw sequencing reads for tissue-specific RNA sequencing can be accessed via the NCBI sequence read archive (SUB15344310). The P. drummondii genome assembly and annotation are hosted by Zenodo and accessible at https://doi.org/10.5281/zenodo.15498773. Long-read DNA sequences used to construct gene trees for the four Phlox species are available via NCBI (BioProject: PRJNA1219593). Long-read RNA sequences of stigma/style transcriptomes are deposited in the NCBI sequence read archive (SUB15389546), and assembled transcriptomes are available via the Dryad Digital Repository (https://doi.org/10.5061/dryad.zgmsbccr3). All other phenotyping data including fruit set, pollen tube germination, floral scans for flowers used in silencing experiments, qPCR data, and all sequence alignments used to construct gene trees are available via the Dryad Digital Repository (https://doi.org/10.5061/dryad.zgmsbccr3). All codes required for the analyses presented here are available at https://github.com/graceburgin/phlox_SI. Previously published data were used for this work (18).


Articles from Proceedings of the National Academy of Sciences of the United States of America are provided here courtesy of National Academy of Sciences

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