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. 2010 Sep 2;154(3):1347–1360. doi: 10.1104/pp.110.162172

Comparative Analysis of Pistil Transcriptomes Reveals Conserved and Novel Genes Expressed in Dry, Wet, and Semidry Stigmas1,[W]

Alexandra M Allen 1, Christian Lexer 1, Simon J Hiscock 1,*
PMCID: PMC2971611  PMID: 20813907

Abstract

Fertilization in angiosperms depends on a complex cellular “courtship” between haploid pollen and diploid pistil. These pollen-pistil interactions are regulated by a diversity of molecules, many of which remain to be identified and characterized. Thus, it is unclear to what extent these processes are conserved among angiosperms, a fact confounded by limited sampling across taxa. Here, we report the analysis of pistil-expressed genes in Senecio squalidus (Asteraceae), a species from euasterid II, a major clade for which there are currently no data on pistil-expressed genes. Species from the Asteraceae characteristically have a “semidry stigma,” intermediate between the “wet” and “dry” stigmas typical of the majority of angiosperms. Construction of pistil-enriched cDNA libraries for S. squalidus allowed us to address two hypotheses: (1) stigmas of S. squalidus will express genes common to wet and dry stigmas and genes specific to the semidry stigma characteristic of the Asteraceae; and (2) genes potentially essential for pistil function will be conserved between diverse angiosperm groups and therefore common to all currently available pistil transcriptome data sets, including S. squalidus. Our data support both these hypotheses. The S. squalidus pistil transcriptome contains novel genes and genes previously identified in pistils of species with dry stigmas and wet stigmas. Comparative analysis of the five pistil transcriptomes currently available (Oryza sativa, Crocus sativus, Arabidopsis thaliana, Nicotiana tabacum, and S. squalidus), representing four major angiosperm clades and the three stigma states, identified novel genes and conserved genes potentially regulating pollen-pistil interaction pathways common to monocots and eudicots.


Rapid and reliable communication between the male (pollen) and female (pistil) reproductive tissues is essential for successful fertilization in angiosperms. The tissue of the pistil acts as a physical and chemical interface between the male and female gametophytes, beginning at the stigma surface during pollen germination and continuing until successful fertilization at the ovule (Hiscock and Allen, 2008). Many different processes occur simultaneously in pistil tissues, including species recognition, self-incompatibility (SI), pollen hydration, pollen tube growth, and pathogen defense (for review, see Swanson et al., 2004; Malhó et al., 2006; Wilsen and Hepler, 2007; Hiscock and Allen, 2008). It is clear that a high diversity of both pollen and pistil molecules mediate the complex interactions between these two tissues; however, with the exception of SI, relatively little is known about the molecular pathways involved (Edlund et al., 2004; Sanchez et al., 2004; Swanson et al., 2004).

In addition to the large range of molecules present in the pistil tissues of a given species, it is likely that a number of specific molecules have diversified between taxa (Swanson et al., 2004). There are two reasons for this: first, genes that are involved in regulating sexual reproduction are likely to evolve at a higher rate than those controlling housekeeping processes (Swanson and Vacquier, 2002); second, genes involved in maintaining species boundaries will be, by their nature, species specific and hence highly diverse between species (Edlund et al., 2004; Swanson et al., 2004). To date, much research into pollen-pistil interactions has focused on SI, and these studies have shown that a high diversity of molecules and processes are employed for the same role of recognizing and rejecting self-pollen (for review, see Hiscock and McInnis, 2003; Takayama and Isogai, 2005; Franklin-Tong, 2008). This suggests that a similar or greater diversity of molecules is likely to regulate compatible pollen-pistil interactions. Certainly, despite the identification of an increasing number of molecules implicated in compatible pollen-pistil interactions, there are few examples of shared genes between species (Lord, 2003; Hiscock and Allen, 2008). However, these types of studies have focused on specific genes in model species, and the low consensus so far observed between species is largely a consequence of this limited sampling. It is important, therefore, to extend studies of genes and proteins regulating pollen-pistil interactions to include other species from diverse families of flowering plants. One approach to identifying more genes involved in pollen-pistil interactions in diverse angiosperm species is through the generation of pistil-enriched cDNA libraries, which allows comparison of tissue-specific transcriptomes between species.

Recently, several studies have identified genes expressed in the reproductive tissues of Arabidopsis thaliana (Arabidopsis), Oryza sativa (rice), Crocus sativus (crocus), and Nicotiana tabacum (tobacco), representing three major angiosperm clades: monocots (rice and crocus), rosids (Arabidopsis), and asterid I (tobacco; Angiosperm Phylogeny Group, 2003). Large data sets have been generated to represent the transcriptomes of pollen and/or pistil tissues at different stages of development (Becker et al., 2003; Swanson et al., 2005; Tung et al., 2005; D’Agostino et al., 2007; Li et al., 2007; Quiapim et al., 2009).

Angiosperm stigmas can be broadly classified as either “wet” or “dry,” depending on the presence or absence of secretions at the stigma surface (Heslop-Harrison and Shivanna, 1977). Taxa possessing wet stigmas typically secrete an exudate, which allows pollen hydration and germination to occur, even with pollen from other species. By contrast, in species with dry stigmas, pollen adhesion and recognition often precede hydration, and these processes are highly regulated (Dickinson, 1995). Arabidopsis, rice, and crocus possess dry stigmas, whereas tobacco has a wet stigma (Heslop-Harrison and Shivanna, 1977; Supplemental Fig. S1).

To expand phylogenetic sampling of pistil-enriched/pistil-specific transcriptome data sets to include the asterid II clade, we have used suppression subtractive hybridization (SSH) to construct pistil-enriched cDNA libraries for Senecio squalidus (Oxford ragwort [Asteraceae]). Importantly, S. squalidus possesses a “semidry” stigma that shows features intermediate between dry and wet stigmas (Hiscock et al., 2002). Like species with dry stigmas, the S. squalidus stigmatic papillae possess a surface cuticle, but unlike the typical dry stigma (e.g. Brassica sp.), this is not continuous and does not extend to the base of the papillae, and when stigmas reach maturity a small amount of extracellular secretion is present in these basal regions between papillae (Hiscock et al., 2002). The semidry stigma state, which appears to be common to all members of the Asteraceae (Hiscock et al., 2002; Allen and Hiscock, 2008), the second largest family of flowering plants, has not been well studied at the molecular level, and its evolutionary relationship with wet and dry stigmas is unknown.

The availability of five pistil transcriptome data sets from four major angiosperm clades that together contain more than 90% of flowering plants has allowed us to compare the diversity and conservation of pistil-expressed genes in species with wet, dry, and semidry stigmas across the monocots (crocus [Liliales] and rice [Poales]) and eudicots (Arabidopsis [Brassicales], tobacco [Solanales], and S. squalidus [Asterales]; Supplemental Fig. S1). Using these data, we investigated two hypotheses: (1) the semidry stigma of S. squalidus will express genes common to species with both wet and dry stigmas as well as expressing genes specific to the semidry stigma of the Asteraceae; and (2) specific classes of genes potentially essential for pistil function will be conserved between diverse angiosperm groups and therefore common to the five pistil transcriptomes sampled.

RESULTS

Identification and Functional Classification of Putative Pistil-Specific Genes

Three cDNA libraries were created from the cloned products of SSH, each corresponding to pistil-expressed sequences from three different S-genotypes (S1S2, S1S3, S1S4) of S. squalidus. Approximately 80 cDNA clones from each library were selected on the basis of the differential screening results (hybridization to subtracted pistil probe versus no hybridization to leaf probe) and sequenced. Functional annotation of the putative pistil-specific genes was performed using the BLAST-X algorithm. To generate a representative data set of the S. squalidus transcriptome, the three subtracted libraries were combined and assigned functional categories (Table I). A total of 174 cDNA clones was identified, and of these, 86% (150 cDNA clones) could be assigned a putative function according to the Gene Ontology database. The 174 cDNA clones corresponded to 115 different genes, with several genes present in multiple copies in the cDNA libraries. Over 50% of the genes identified were assigned functions in just four functional categories: metabolism (22%), transport (15%), signaling (11%), and cell wall related (10%; Fig. 1).

Table I. Candidate stigma-specific genes from S. squalidus.

A total of 174 genes were isolated by SSH and assigned a putative function using BLAST. Genes highlighted in boldface represent novel pistil-specific transcripts. ID, Identification code.

Functional Category Description No. of cDNAs Isolated Accession No. Arabidopsis ID
Cell wall related
Pi-Tubulin 3 GO255121
β-Tubulin 1 GO255103
Extensin (class I) 10 GO255084 AT1G26250
Structural molecule 1 GO255092 AT5G54110
Integral membrane family protein 1 GO255089 AT4G25040
Pectinesterase family protein 1 GO255167 AT5G62350
α-l-Arabinofuranosidase 1 GO255144 AT5G49360
β-Galactosidase precursor 2 GO255246 AT5G56870
β-Xylosidase 3 GO255211 AT5G49360
Pro-rich extensin-like family 1 GO255237 AT5G35190
Extensin-like protein 1 GO255222
Stress/defense
Stigma-specific peroxidase precursor 5 GO255081
Putative nematode resistance protein 1 GO255085 AT3G55840
Nodulin MTN3 1 GO255182 AT4G10850
Senescence-associated nodulin 1A 3 GO255150 AT3G19000
Dehydration-responsive protein 2 GO255187 AT3G51070
EDGP precursor 3 GO255139 AT1G03230
Aluminum-induced protein 2 GO255210 AT5G43830
Copper/zinc-superoxide dismutase 2 GO255230
Hormone related
Abscisic acid-inducible protein 3 GO255142 AT5G38760
Ethylene-forming enzyme 1 GO255174
Auxin/indole-3-acetic acid 1 GO255241 AT3G23050
Metabolism
β-Fructofuranosidase 3 GO255090 AT1G12240
GDSL-motif lipase/hydrolase family 2 GO255184 AT5G45670
Mandelonitrile lyase 6 GO255125 AT1G73050
Galactokinase-like protein 2 GO255086 AT4G16130
Fru-bisP aldolase 3 GO255113 AT5G03690
Putative phosphatase 1 GO255111 AT1G17710
GMC oxidoreductase 3 GO255209 AT1G73050
Short-chain alcohol dehydrogenase 1 GO255135 AT3G55310
Cytochrome P450 4 GO255238 AT3G19270
3-Ketoacyl-CoA thiolase 1 GO255148 AT2G33150
Vacuolar H+-ATPase subunit 2 GO255206
Ser hydroxymethyltransferase 1 GO255188 AT5G61820
Glycerophosphoryl diester 1 GO255129 AT5G43300
Hypothetical protein OsJ_006695 1 GO255175 AT5G43300
2OG-Fe(II) oxygenase 1 GO255176 AT3G11180
NEC1 1 GO255138 AT5G23660
Prephenate dehydratase 2 GO255163 AT1G08250
Xyloglucan endotransglycosylase 1 GO255161 AT4G14130
UDP-Gal 1 GO255126 AT1G12780
Lipase, putative 1 GO255164 AT1G28600
MIOX1 (myoinositol oxygenase) 1 GO255130 AT2G19800
Glycosyl hydrolase family 3 protein 1 GO255211 AT5G49360
Enoyl-CoA hydratase/isomerase 1 GO255232 AT3G60510
Acetoacetyl-CoA thiolase 1 GO255227 AT2G33150
3-Hydroxyisobutyryl-CoA 1 GO255194 AT2G30660
Glycosyl transferase, family 48 1 GO255243 AT1G05570
Protein fate
Putative polyubiquitin 1 GO255110 AT1G65350
Seven in absentia family protein 1 GO255172 AT4G27880
Endoplasmic reticulum retrieval 1 GO255137 AT2G21600
Structural constituent of ribosome 1 GO255147 AT3G43980
Binding protein 1 GO255200 AT3G13330
Cys protease 1 GO255232 AT4G31810
UDP-glucuronate decarboxylase 1 1 GO255100 AT5G59290
Ser carboxypeptidase-like 42 1 GO255215 AT5G42240
Signaling
Kinase-interacting family protein 1 GO255171 AT1G09720
GASA-like protein 4 GO255165 AT3G02885
Shaggy-related protein kinase 1 1 GO255160 AT3G05840
Protein kinase, MAPK 2 GO255162 AT3G18750
Calcium-binding protein; kinase 1 GO255154 AT3G48260
α-Kinase 1 GO255168
Leu-rich repeat protein kinase 1 GO255220 AT5G40340
Somatic embryogenesis receptor kinase 2 GO255098 AT1G71830
Putative AMP-binding protein 1 GO255112 AT5G16340
Putative protein kinase; resistance gene 1 GO255082 AT4G35600
Receptor protein kinase 2 GO255115 AT1G63430
Protein kinase; adipokinetic hormone 1 GO255095 AT1G06840
Transcription
Transcription factor/regulator 1 GO255078 AT2G47270
Leu-rich repeat 1 GO255114 AT5G66650
Nucleic acid binding 1 GO255153 AT2G02570
Zinc finger protein 1 GO255216 AT5G04390
Sunflower 16 protein (SF16) 2 GO255239 AT1G01110
Ser/Thr protein phosphatase 1 GO255235 AT1G56440
RNA-binding region RNP-1 2 GO255195 AT2G43370
Putative reverse transcriptase 6 GO255236
Transport
Iron transporter protein IRT1 1 GO255096 AT4G19690
Putative auxin efflux carrier protein 9 1 GO255104 AT1G73590
Heavy metal transport detox protein 2 GO255118 AT1G12520
FAD-binding domain-containing protein 1 GO255105 AT4G20830
Stigma/style ABC transporter 2 GO255101 AT5G13580
Membrane-associated protein 1 GO255107 AT5G54110
Calcium-binding EF hand family protein 2 GO255128 AT2G34030
E-class P450, group I 2 GO255238 AT3G26330
Lipid transfer protein 2 GO255151 AT5G59310
Amino acid carrier 1 GO255185 AT5G09220
PIP1 aquaporin 1 GO255146 AT4G00430
Endoplasmic reticulum ATPase 1 GO255244 AT5G03340
Cytochrome oxidase subunit I 1 GO255196 AT3G57450
Cys proteinase 1 GO255193
FAD-linked oxidase, N terminal 1 GO255221 AT3G63440
Ras-related GTP-binding protein 1 GO255224 AT1G02130
Zinc ion binding 1 GO255248 AT3G60520
Unclassified
Sunflower 21 protein (SF21) 2 GQ227732 AT2G19620
Putative Pro-rich protein 1 GO255157 AT5G45670
Hypothetical protein 1 GO255217
Unknown protein 2 GO255213 AT3G46070
Cytokine-induced apoptosis inhibitor 1 GO255116 AT5G18400
Cupin family protein 1 GO255124
Hypothetical protein 1 GO255119
Uncharacterized Cys-rich domain 1 GO255145 AT2G37110
Unknown protein 1 GO255192 AT4G35710
Expressed protein (rice) 1 GO255156
Hypothetical protein 1 GO255178 AT5G06380
LIM domain protein PLIM-2 1 GO255173 AT1G01780
Gag polyprotein 1 GO255127
CBS domain-containing protein 1 GO255201 AT3G48530
Sunflower 3 protein (SF3) 1 GO255242 AT1G10200
Unknown protein 2 GO255233 AT1G54320
Hypothetical protein 1 GO255205 AT3G22850
GEG protein 1 GO255228 AT2G18420
Unknown protein 1 GO255207 AT3G57450
Hypothetical protein 1 GO255247 AT3G52710
DENN domain-containing protein 1 GO255219 AT5G35560
Hypothetical protein 1 GO255189 AT2G19800

Figure 1.

Figure 1.

Functional classification of the pistil-specific genes from the data sets of Arabidopsis (A; 501 genes; Swanson et al., 2005; Tung et al., 2005), rice (B; 115 genes; Li et al., 2007), and S. squalidus (C; 115 genes; this study). Functions were assigned according to the Gene Ontology database. Drawings at right illustrate the structure of the pistil of each species.

Confirmation of Pistil-Specific Expression by Northern Hybridization

To confirm the expression of candidate genes in pistil tissues, northern hybridization was performed on a subset of genes in the data set (Fig. 2). All six cDNA clones were expressed in pistil tissue but not in leaf tissue, indicating that the suppression subtraction had worked efficiently. Four of the clones (encoding a nodulin protein, a membrane-associated protein, a myoinositol oxygenase protein, and a nematode resistance protein) were expressed exclusively in the pistil (Fig. 2, C–F), and two clones (encoding a cytochrome P450 and a calcium-binding kinase) were also expressed in pollen (Fig. 2, A and B). The nematode resistance gene was expressed as several different sized transcripts in the pistil.

Figure 2.

Figure 2.

Developmental northern-blot analysis of candidate stigma-specific gene expression. Total RNA was extracted from S. squalidus tissues; each lane contains 10 μg of total RNA. Lane 1, root; lane 2, leaf; lane 3, stem; lane 4, small capitulum bud (2–3 mm); lane 5, medium capitulum bud (5–6 mm); lane 6, large capitulum bud (8–9 mm); lane 7, open capitulum; lane 8, floret buds; lane 9, mix of open florets and buds; lane 10, florets all open; lane 11, mature stigmas; lane 12, pollen. The RNA was probed separately with cytochrome P450 (A; GO255238), calcium-binding kinase (B; GO255154), nodulin (C; GO255182), myoinositol oxygenase (D; GO255123), membrane-associated protein (E; GO255107), and nematode resistance protein (F; GO255085). G represents a loading control.

Comparison of the S. squalidus, Arabidopsis, Rice, Tobacco, and Crocus Pistil Transcriptomes

Pistil-specific data sets have so far been generated in just two species: Arabidopsis (Swanson et al., 2005; Tung et al., 2005) and rice (Li et al., 2007). The Arabidopsis data sets were generated from microarray analysis and cDNA subtraction of stigma tissue (Swanson et al., 2005) and microarray analysis of stigma/style tissue (Tung et al., 2005). The rice data set was produced from analysis of an Affymetrix rice whole-genome array and cDNA microarray comparisons of stigma tissue (Li et al., 2007). Additional data for pistil transcriptomes have also been generated recently in crocus (D’Agostino et al., 2007) and tobacco (Quiapim et al., 2009). The tobacco pistil EST data set was generated from stigma and style cDNA (Quiapim et al., 2009), and the crocus EST data set from stigma cDNA (D’Agostino et al., 2007). Comparisons of the results generated by these separate studies with our data set from S. squalidus showed broad correlations in the functional gene classes identified (Fig. 1; Table II). General classification of the stigma-enriched data sets of S. squalidus, Arabidopsis, and rice revealed that the proportions of genes in each functional class were similar. The proportions of genes in the functional classes transcription, cell wall, stress/defense, signal transduction, and unclassified from S. squalidus were comparable to those of Arabidopsis and rice, but S. squalidus had the highest proportions of genes involved in transport and metabolism. A Wilcoxon signed-rank test on the proportion data confirmed that the results were not significantly different from each other (S. squalidus/Arabidopsis, P = 1.00; S. squalidus/rice, P = 0.484; Arabidopsis/rice, P = 0.674).

Table II. S. squalidus pistil-expressed genes that have been identified in at least two of the pistil preferential data sets from different species.

The study species used were Arabidopsis (Swanson et al., 2005; Tung et al., 2005), rice (Li et al., 2007), tobacco (Quiapim et al., 2009), and crocus (D’Agostino et al., 2007). Presence (+)/absence (−) is indicated for each species, followed by transcript numbers in parentheses.

S. squalidus Genes Arabidopsis Rice Crocus Tobacco
Cytochrome P450 + (6) + (8) + (6) + (1)
LTP + (4) + (1) + (2) + (1)
3-Ketoacyl-CoA synthase + (1) + (1)
Acyl-CoA-binding protein + (1) + (1) + (1)
β-Xylosidase + (3) + (1)
β-Galactosidase precursor + (3) + (1)
UDP-glycosyltransferase + (4) + (1) + (5)
Zinc finger protein + (2) + (6) + (1)
Peroxidase + (3) + (3) + (1)
Aquaporin + (1) + (1) + (1)
FAD oxidoreductase + (1) + (1)
ABC transporter family + (1) + (3) + (2) + (3)
Extensin-like protein + (1) + (1) + (7)
Cys protease + (1) + (1) + (4)
Mandelonitrile lyase + (2)
Pectinesterase + (2) + (3) + (1)
Ser carboxypeptidase + (2) + (1)
Receptor protein kinase + (2) + (5) + (4) + (4)
Disease resistance + (1) + (5) + (1) + (1)
Lipase/hydrolase + (1) + (1)
Cys-rich protein + (1) + (1)
Nodulin/mtn3 + (3) + (2) + (2)

Two independent studies in Arabidopsis have indicated that the categories of metabolism, stress/defense, signaling, and cell wall related contain a large proportion of pistil-specific genes (Swanson et al., 2005; Tung et al., 2005). A similar study in rice identified the categories of cell wall related, stress/defense, and signal transduction as being the largest categories and also reported a large number of genes involved in transcription (Li et al., 2007). Correlations between the S. squalidus, Arabidopsis, and rice data sets have highlighted certain functional groups that contain high numbers of pistil-specific genes in all three species. In particular, these were cell wall related and signaling, with the categories of transport, stress/defense, and metabolism also containing a high percentage of pistil-specific genes.

Analysis of Conserved Pistil-Specific Genes

In addition to the similarities in the patterns of functional annotation of the pistil-enriched data sets, a number of pistil-enriched gene classes were common to three or more different species (Table II). Gene families that were consistently detected in the pistil tissues included cytochrome P450, ATP-binding cassette (ABC) transporters, and lipid transfer proteins (LTPs). A greater number of shared genes were identified between S. squalidus and the dry stigma species (Arabidopsis, rice, and crocus) than with the wet stigma species (tobacco). This may be a consequence of the smaller tobacco pistil preferential data set or may reflect fundamental differences between wet and dry stigmas. Sequence analysis of three conserved proteins indicated structural and functional similarity (Fig. 3). Lipid-transfer proteins identified in the pistil-enriched data sets of Arabidopsis (At2g38530, At2g38540, At5g59310, At5g01870), rice (AK105838), crocus (EX146511, EX1483990), and S. squalidus showed sequence homology to stigma/style Cys-rich adhesin (SCA; Q9SW93; approximately 50% protein identity), a LTP identified in lily (Lilium longiflorum; Park and Lord, 2003) and shown to function in pollen tube adhesion and guidance (Chae et al., 2007; TableII; Fig. 3A). All 20 feature residues of the hydrophobic cavity characteristic of this gene family were conserved in the S. squalidus sequence. Additionally, there were eight Cys residues conserved between the sequences from all species (Fig. 3A). A further Cys-rich protein of unknown function was also identified in three out of five of the study species, S. squalidus, Arabidopsis (At2g37110), and rice (NP_001042073; Table II), with a high level of sequence conservation (60% identity between rice and Arabidopsis, 71% identity between Arabidopsis and S. squalidus; Fig. 3B).

Figure 3.

Figure 3.

Sequence alignments and homology trees of conserved pistil-specific proteins from S. squalidus, rice, Arabidopsis, tobacco, and crocus. A, LTP, orthologous to SCA (L. longiflorum). B, Cys-rich protein. C, Nodulin/mtn3 family protein, orthologous to mtn3 (Medicago trunculata) and NEC1 (P. hybrida).

A pistil-specific gene showing sequence similarity to a member of the nodulin/mtn3 gene family was identified in separate studies of Arabidopsis (At1g21460, At5g53190), rice (CAE04315), tobacco (TOBC023B06), and S. squalidus. Seventeen copies of this gene have been identified in Arabidopsis (Guan et al., 2008) and 18 in rice genomes (Chu et al., 2006; Yang et al., 2006). Two of the Arabidopsis orthologs were shown to be pistil specific (At1g21460, At5g51390) and a further two to be pollen specific (At5g62850, At5g40260). Interestingly, the S. squalidus protein exhibits higher homology to the tobacco (C023B06, C061G07) and rice (CAE04315) proteins than any of the Arabidopsis proteins. All the nodulin/mtn3-like protein sequences share seven transmembrane regions and two conserved intracellular regions but have more variable extracellular regions (Fig. 4). Further analysis of this protein family in Arabidopsis indicated a complex pattern of evolution of pistil- and pollen-specific proteins, with the S. squalidus and rice pistil-specific proteins allying to different Arabidopsis clades (Fig. 4). The S. squalidus pistil-specific nodulin shares greater sequence identity with the tobacco sequence (55%) than those from Arabidopsis and rice (35% and 31%, respectively).

Figure 4.

Figure 4.

Phylogenetic relationship between nodulin/mtn3 genes in Arabidopsis and pistil-specific homologs in rice (BAG89875) and S. squalidus (GO255182). The parsimonious tree was constructed in PAUP version 4.0b 10 using a heuristic search method executed on a protein sequence alignment and rooted with the NEC1 sequence from P. hybrida (AAG34696). Bootstrap support values are indicated next to nodes, based on 1,000 replicates. Pistil-expressed genes are indicated by black circles; pollen-expressed genes are indicated by white circles.

Novel Pistil-Specific Genes in S. squalidus

The pistil cDNA libraries in S. squalidus contain a number of novel genes not previously identified as pistil specific in other species and not present in our S. squalidus floral database (www.seneciodb.org). These include a WNK (for With No K/Lys) kinase with a putative calcium-binding domain, a membrane-associated protein, a nematode resistance protein, and several hypothetical proteins of unknown function (Table I). The identification of novel pistil-specific genes in S. squalidus is particularly interesting, as this species possesses a sporophytic self-incompatibility (SSI) system, which operates through a different mechanism from the well-characterized SSI system found in the Brassicaceae (Hiscock et al., 2003; Tabah et al., 2004). Therefore, the S. squalidus pistil data set is expected to contain genes potentially involved in mediating the female side of SSI, including primary S-recognition genes.

DISCUSSION

The S. squalidus Pistil-Enriched Transcriptome

SSH was used successfully to isolate pistil-enriched transcripts from cDNA libraries constructed for three different S-genotypes of S. squalidus. When combined, these yielded 115 different candidates for pistil-specific genes for S. squalidus. Differential screening of the cDNA libraries confirmed the expression of clones in pistil tissue. Northern-blot analysis, performed on a subset of cDNA clones, revealed that expression of the majority of these genes was exclusive to pistil tissue. Both these methods of screening illustrated the efficiency of SSH for isolating tissue-specific genes. Pistil-specific genes are likely to play important roles in many stigma functions, including defense, pollen adhesion and hydration, pollen tube guidance and structural support within the extracellular matrix, and SI. The pistil-enriched libraries created for S. squalidus have identified potential components of all these systems and may be used to compliment and confirm information from other species for which pistil transcriptome data are available. Therefore, we compared all five available pistil transcriptomes, rice and crocus (monocots), Arabidopsis (rosid clade), tobacco (euasterid I clade), and S. squalidus (euasterid II clade), spanning four major angiosperm clades that contain more than 90% of all flowering plants.

All five pistil transcriptomes show broad similarities in the proportion of genes in particular functional classes, the types of genes identified, and sequence similarities between protein products. Additionally, the S. squalidus SSH libraries contained a number of genes showing orthology to pistil-specific genes previously identified in other species (Park and Lord, 2003; Otsu et al., 2004; McInnis et al., 2005). Comparisons with data from other species and extensive S. squalidus EST databases (www.seneciodb.org) also identified a number of novel genes in the S. squalidus pistil cDNA libraries (Table I). These are likely to correspond to rare transcripts in the pistil transcriptome and highlight the usefulness of SSH as a technique that is able to identify genes expressed specifically in the tissue of interest.

Comparisons of the currently available pistil data sets highlighted differences between results from whole-pistil and pistil-specific studies. The mature stigma data set from crocus contained a large number of genes involved in metabolism, transport, and transcription (D’Agostino et al., 2007; 157 genes). The overrepresentation of metabolism genes in crocus compared with the other dry stigma species may be a consequence of the data set being a sample of the unsubtracted pistil transcriptome, not just pistil-specific transcripts. Alternatively, these differences may reflect the high levels of carotenoid metabolism in the highly specialized stigma of crocus (D’Agostino et al., 2007). A comparison of the functional categories of the Arabidopsis pistil data set at different resolutions of pistil specificity revealed differences in proportions of functional classes, highlighting classes that were important in general cellular function (plastid-related genes) and those required for pistil-specific processes (cell wall, endoplasmic reticulum, response to stress, plasma membrane; Hiscock and Allen, 2008).

Comparative Analyses of Wet, Dry, and Semidry Stigma/Style Transcriptomes

When the data generated by this study were compared with data from Arabidopsis, tobacco, rice, and crocus, similarities and differences were revealed (Swanson et al., 2005; Tung et al., 2005; D’Agostino et al., 2007; Li et al., 2007; Quiapim et al., 2009). The study species differ in relatedness, pistil structure and function, and specific pollen-pistil processes, allowing the opportunity to assess consensus across diverse taxa (Supplemental Fig. S1). Differences were observed between the dry stigma species (Arabidopsis, rice, crocus) and wet stigma species (tobacco) data sets, most notably in the proportions of genes in each functional class and in the types of genes expressed exclusively in the pistil (Table II). The largest functional categories in the tobacco pistil transcriptome were posttranslational modification/protein turnover, translation, and energy production and conversion, suggesting that the tobacco pistil is composed of highly active metabolic cells, perhaps reflecting the active production of wet surface secretion, a defining feature of wet stigma species (Quiapim et al., 2009).

Data from dry stigma species consistently highlighted categories of cell wall related and signaling as containing large numbers of genes and being overrepresented in the dry stigma (Swanson et al., 2005; Tung et al., 2005; Li et al., 2007; Hiscock and Allen, 2008). A detailed comparison of the Arabidopsis and tobacco data sets revealed a low percentage of homologous sequences between the two species (Quiapim et al., 2009). In contrast, comparisons of the rice and Arabidopsis data sets revealed 83 similar sequences, most of which belonged to cell wall-related and signal transduction groups, indicating conservation of these functions in the dry stigma. The S. squalidus data set shared a greater number of homologous genes with the dry stigma species (Arabidopsis, 37; rice, 46; crocus, 39) than the wet stigma species (tobacco, eight), although a more thorough comparison involving additional species would be needed to confirm these results. However, similarities were also detected between the tobacco and S. squalidus pistil data sets, most notably a high number of extensin-like gene transcripts, a class of gene that has been well studied in the tobacco pistil (de Graaf et al., 2003). It is interesting to observe similarities between S. squalidus and species with wet stigmas and dry stigmas, because the semidry stigma of S. squalidus (Hiscock et al., 2002) may represent a derived form of either.

Evidence of Conserved Pistil-Specific Genes in Diverse Angiosperm Groups

Despite the differences in gross pistil morphology between these diverse species, certain features of the pollination process appear to be shared: in particular, the presence of lipids at the pollen-stigma interface, the involvement of small Cys-rich proteins in pollen-stigma interactions, and the role of water as a directional cue for the pollen tube (Hiscock and Allen, 2008). This study was able to identify additional potential correlations between the pistil data sets and individual pistil-specific genes, with several genes appearing to be restricted to wet, dry, or semidry stigma transcriptomes (detailed below). In particular, the protein sequences of three genes (a LTP, a Cys-rich protein, and a nodulin/mtn3 protein) from different species were aligned and exhibited sequence similarity and conservation of functional residues (Fig. 3). These examples of conserved pistil-specific genes may represent ancient pistil processes that have been maintained in diverse angiosperm species across the monocot-eudicot divide. Alternatively, these genes may be evidence of the convergent evolution of classes of genes to acquire pistil-specific functions. There is a clear need for studies of the pistil transcriptomes of lower eudicots and basal angiosperms to answer these critical evolutionary questions.

Cys-Rich Proteins

Our comparative transcriptome analysis provides further support for the hypothesis that Cys-rich proteins play important and varied roles during the pollen-pistil interaction (Doughty et al., 1998; Takayama et al., 2000; Tang et al., 2004; Verhoeven et al., 2005; Chae et al., 2007). Several Cys-rich proteins were identified in the pistil-enriched data sets of S. squalidus, Arabidopsis, rice, tobacco, and crocus. Two of these, a Cys-rich protein of unknown function and a LTP, were aligned to demonstrate sequence similarity and conservation of functional residues between the different species, suggesting a potential conserved role of these proteins in pistil function (Fig. 3). The Cys-rich protein of unknown function exhibited particularly high sequence similarity between the dry/semidry stigma species S. squalidus, Arabidopsis, and rice (60%–70% identity). This protein was not detected in the tobacco pistil transcriptome, suggesting a role specific to dry/semidry stigmas only. The LTP was detected in all species studied, and typically was expressed at high levels in the pistil (Swanson et al., 2005; Tung et al., 2005; Quiapim et al., 2009). The tobacco sequence exhibits very high sequence identity (83.4%) to LTP (Q03461), a protein that has been shown to mediate cell wall-loosening activity in the stigma exudate (Nieuwland et al., 2005). These LTPs are also related to another LTP, SCA (Q9SW93), which is involved in pollen tube adhesion and guidance in lily (Park and Lord, 2003; Kim et al., 2006; Chae et al., 2007).

Cell Wall-Related Proteins

Within the cell wall-related functional category, several classes of genes were present in data sets from all five study species. These included extensin-like proteins and Hyp-rich glycoproteins, consistent with previous work that has shown these classes of protein to be ubiquitous components of the transmitting tissue of the pistil through which pollen tubes grow and navigate to the ovules (Wu et al., 2001). Both the S. squalidus and tobacco data sets contained large numbers of extensin-like genes, suggesting that this class of gene is particularly important in wet and semidry stigmas, in contrast to the Arabidopsis, rice, and crocus data sets, which each contained just one extensin-like gene. In tobacco, these proteins have been implicated to function in a range of different processes within the pistil, including pollen tube guidance and SI (Cheung et al., 1993; Wu et al., 1995; de Graaf et al., 2003; Hancock et al., 2005). Another putative pistil-specific cell wall component identified in S. squalidus was a pectinesterase, a class of enzymes also present in the data sets of rice, Arabidopsis, and crocus, highlighting their importance in dry and semidry stigma function. Pectinesterase-like proteins are hypothesized to function in enabling pollen tube growth through the papilla cell wall by mediating cell wall loosening and expansion (Bosch et al., 2005; Bosch and Hepler, 2006).

Signaling Genes

In the signaling class of pistil-specific proteins, a relatively large number of receptor-like protein kinases are present in the S. squalidus data set, consistent with results from other species (Swanson et al., 2005; Tung et al., 2005; D’Agostino et al., 2007; Li et al., 2007; Quiapim et al., 2009). It is likely that these pistil-specific kinases are specialized to coordinate pistil development, defense responses, and to facilitate communication between the pollen and pistil, with downstream implications on pollen tube growth (Johnson and Preuss, 2003). This class of proteins have been studied in both dry and wet stigmas of the Brassicaceae and Solanaceae, respectively. The most extensively studied example of a stigma-specific receptor kinase is the S-receptor kinase from the Brassicaceae, which regulates the female response in SSI (Takayama and Isogai, 2005). Pollen-specific receptor-like kinases (Muschietti et al., 1998) have been shown to interact with corresponding pistil Cys-rich protein ligands LAT52 (Tang et al., 2002) and LeSTig1 (Tang et al., 2004) and are thought to mediate pistil response to pollen tube growth in tomato (Solanum lycopersicum).

Transport Genes

The S. squalidus, Arabidopsis, and rice pistil-enriched data sets contain a significant proportion of genes that potentially play a role in transport within the pistil, suggesting that this function is particularly important in dry and semidry stigmas. All five species data sets contained at least one member of the ABC transporter family, a family of proteins that function in the transport of a wide variety of substrates across extracellular and intracellular membranes, including metabolic products, lipids, and sterols (Sidler et al., 1998). The S. squalidus and Arabidopsis (NP_181467) sequences exhibited high sequence similarity (74% and 73% identity, respectively) with a pistil-specific ABC transporter gene, NtWBC1 (for tobacco ABC transporter of the white-brown complex subfamily [AAR06252]), which has been characterized in tobacco (Otsu et al., 2004). Expression of NtWBC1 is localized to the stigmatic secretory zone, to the cells that produce the stigmatic exudate, and it is thought that this protein may be involved in the transfer of lipids to the stigmatic exudate (Otsu et al., 2004). It may be hypothesized that the ortholog of NtWBC1 acts in a similar way in the semidry stigma of S. squalidus, where secretion of the surface exudate is enhanced in stigmatic papillae after pollination (Hiscock et al., 2002).

Another common feature of pistil function is the presence of a stigmatic water gradient acting as an initial directional cue for pollen tube growth (Hiscock and Allen, 2008). In dry stigma species, the presence of water at the stigma surface is highly regulated (Dickinson, 1995). In Brassica, a stigma-specific aquaporin (MIP-MOD [AAB61378]) has been implicated in the regulation of water flow into the pollen grain during grain hydration (Dixit et al., 2001). The pistil-specific aquaporins identified in S. squalidus, Arabidopsis, and rice, therefore, may have a similar role. In support of this suggestion, the S. squalidus pistil-specific aquaporin shares 85% sequence identity with the Brassica MIP-MOD protein. This putative role of aquaporins in pollen hydration, therefore, may explain why they were not detected in the tobacco pistil preferential data set, since the presence of the secreted stigmatic exudate in tobacco precludes the need for control of water flow to the stigma surface (Wolters-Arts et al., 2002).

Stress/Defense Genes

Our comparative transcriptome analyses have identified a number of genes encoding proteins potentially involved in stress/defense responses. This is particularly interesting as there is evidence that the molecules involved in pollination and stress/defense responses may be related evolutionally and functionally (Vogt et al., 1994; Li et al., 2007). Indeed, many authors have proposed that certain SI mechanisms may have arisen through the modification of preexisting pathogen defense mechanisms (de Nettancourt, 1977; Hodgkin et al., 1988; Dickinson, 1995; Elleman and Dickinson, 1999). Several of the genes involved in stress/defense responses identified in the S. squalidus pistil data set may be involved in reactive oxygen species (ROS) signaling. Stigmatic tissues have been shown to accumulate high levels of ROS constitutively, particularly hydrogen peroxide (H2O2), and it has been hypothesized that the high levels of ROS/H2O2 may protect stigmas against pathogen attack (McInnis et al., 2006b). ROS respond to external stimuli, acting as early messengers in signaling cascades by inducing the expression of a number of genes including pathogenesis-related protein genes (Sepúlveda-Jiménez et al., 2005). For instance, in the leaves of Beta vulgaris, a UDP-glucosyltransferase is induced by high levels of ROS, which accumulate as a response to wounding and bacterial infection (Sepúlveda-Jiménez et al., 2005). Therefore, the S. squalidus pistil-specific UDP-glucosyltransferase may respond in a similar way to the high levels of ROS in the stigmatic tissue and act downstream by glucosylating hormones and secondary metabolites. UDP-glucosyltransferases were detected in the pistil data sets of all the dry stigma species, suggesting conservation of their function in pistils.

Another gene identified in the S. squalidus pistil data set showed high sequence similarity (71% protein identity) to an extracellular dermal glycoprotein (EDGP [BAA03413]) from carrot (Daucus carota; Shang et al., 2005) and the Nectarin IV protein (67% sequence identity [AAX81588]) from tobacco (Naqvi et al., 2005). Both EDGP and Nectarin IV belong to a newly identified superfamily of inhibitor proteins (Naqvi et al., 2005). Nectarin IV is expressed in the nectary of ornamental tobacco plants during anthesis until after fertilization, when expression peaks (Naqvi et al., 2005). Analogies have been made between the high levels of ROS and H2O2 detected in the stigma and the equally high levels in nectar, which are hypothesized to protect against pathogen attack (Carter and Thornburg, 2004; McInnis et al., 2006a). Recent studies in S. squalidus have shown that levels of ROS/H2O2 were reduced in stigmatic papillae to which pollen grains had adhered, suggesting that nitric oxide from pollen may be acting to reduce ROS/H2O2 abundance in stigmatic papillae, potentially to allow pollen to be distinguished from fungal pathogens. The presence of catalase transcripts in the S. squalidus pistil libraries indicates that the pistil cells are capable of actively breaking down H2O2.

In addition to the putative EDGP/Nectarin IV ortholog, a gene showing sequence similarity (59% identity) to Nectarin1 from Petunia × hybrida (NEC1 [AAG34696]) was also identified in the S. squalidus pistil-enriched data sets. NEC1 belongs to the mtn3/saliva family of proteins (Ge et al., 2000). A homolog of another member of this family, nodulin/mtn3, was also identified in the S. squalidus, Arabidopsis, tobacco, and rice pistils. Members of this protein family have been implicated in diverse cellular processes, including disease resistance and pollen development, although their specific function is unknown (Yang et al., 2006; Guan et al., 2008). In the Arabidopsis and rice genomes, nodulin/mtn3 proteins are present in high copy number (17 and 18 genes, respectively). In Arabidopsis, at least four members of this gene family are expressed exclusively in reproductive tissues (Fig. 4). Identification of pistil-specific proteins in four of the pistil preferential data sets (Table II; Fig. 3) highlighted the potential importance of these genes in reproductive tissues, where their function may be conserved across diverse taxa. Sequence analysis showed the S. squalidus protein to lie within a subclade of this family, which also contained NEC1 and Xa13/Os8N3 (ABD78942), a disease resistance gene for bacterial blight of rice (Fig. 4; Chu et al., 2006).

CONCLUSION

The aim of this study was to expand upon currently available data for genes expressed in pistils by analyzing the pistil transcriptome of a species from the Asteraceae (S. squalidus). S. squalidus possesses a semidry stigma, intermediate between the wet and dry stigmas typical of most angiosperms and all species previously analyzed at the level of pistil gene expression. By selecting a species from the Asteraceae for analysis, we were also able to sample a representative of the asterid II clade, a major angiosperm clade for which, to our knowledge, there were no data on pistil-expressed genes prior to our study. Therefore, we were able to explore two key hypotheses: (1) that the semidry stigma of S. squalidus will express genes common to species with wet and dry stigmas as well as expressing genes specific to the semidry stigma of the Asteraceae; and (2) that certain classes of genes potentially essential for pistil function will be conserved between diverse angiosperm groups and therefore common to the pistil transcriptomes of the five angiosperm species sampled to date. Overall, our findings support both these hypotheses. With respect to hypothesis 1, our data show that the pistil transcriptome of S. squalidus is generally more similar to the dry stigma transcriptome of Arabidopsis but also contains genes expressed in wet stigmas. S. squalidus pistils also express a number of unique genes that could potentially be involved in the novel mechanism of SSI found in the Asteraceae.

With respect to hypothesis 2, our comparison of the five available pistil transcriptomes, rice and crocus, representing monocots, and Arabidopsis, tobacco, and S. squalidus, representing three divergent clades of eudicots, identified genes encoding a number of potentially orthologous proteins, most notably a LTP, a Cys-rich protein, and a nodulin/mtn3 protein. It is likely that these proteins play similar roles in their respective species and may represent components of the pollen-pistil interaction machinery system common to the majority of the angiosperms. This suggests that some of the complex interactions underlying pistil function in diverse species with wet, dry, and semidry stigmas are shared and have been inherited from the common ancestor of monocots and eudicots (Hiscock and Allen, 2008).

MATERIALS AND METHODS

Plant Material

All Senecio squalidus plants were grown in glasshouse conditions, according to Hiscock (2000). S-genotyped individuals (S1S2, S1S3, and S1S4; Brennan et al., 2010) were used for RNA and DNA extraction.

SSH

Total RNA was extracted from leaf and pistil tissue from plants of three different S-genotypes (S1S2, S1S3, and S1S4) using the TRIzol reagent according to the manufacturer’s instructions (Invitrogen). cDNA was then synthesized from total pistil and leaf RNA using the SMART PCR cDNA Synthesis kit (Clontech). Subtraction was performed separately for each genotype using cDNA from pistil and leaf tissue using the PCR-Select cDNA Subtraction kit (Clontech). This technique includes a normalization step to equalize the abundance of transcripts, allowing comparisons of copy number to be made. Reverse subtractions were also performed for each genotype for the purposes of differential screening. The subtracted PCR products were cloned using the TOPO TA-Cloning kit (Invitrogen) and screened for inserts. All colonies containing inserts were picked and transferred to separate wells of a 96-well plate containing Luria-Bertani broth.

Colony arrays were created by dot blotting cultures of each clone onto a nylon membrane (Hybond-NX; GE Healthcare), placed on the surface of a plate of Luria-Bertani agar containing 100 μg mL−1 ampicillin, and incubated at 37°C overnight. The membrane was denatured and neutralized, and DNA was fixed to the membrane by baking for 1.5 h at 80°C. The resulting subtracted libraries were differentially screened using total leaf cDNA, total pistil cDNA, subtracted leaf cDNA, and subtracted pistil cDNA as probes. Probes were prepared using Ready-To-Go DNA Labeling Beads (GE Healthcare) and labeled with [α-32P]dCTP (Amersham Biosciences). Hybridization was performed in Southern hybridization solution (300 mm NaPO4 buffer, 7% SDS, 1 mm EDTA, and 10 mg mL−1 bovine serum albumin) at 65°C. Following hybridization, the membranes were washed in four changes of 0.2× SSC/0.5% SDS buffer at 65°C before being exposed to BioMax MS-1 Autorad film (Kodak). cDNA clones, which hybridized strongly to subtracted pistil cDNA but not to leaf cDNA, were identified as pistil expressed and sequenced by Geneservice (University of Oxford) using the M13 forward universal primer. Nucleotide sequences were identified using the BLAST algorithm (http://www.ncbi.nlm.nih.gov/BLAST/) with default parameters. Functional annotation was assigned according to the Gene Ontology database. The equality of proportions of functional categories was tested by the nonparametric Kruskal-Wallis test as implemented in the Statistical Package for the Social Sciences program (SPSS).

Northern-Blot Analysis

Total RNA was extracted from vegetative tissues (root, leaf, stem, capitulum bud, flower bud, and pistil tissue) using the Plant RNeasy kit (Qiagen) and from pollen using TRI Reagent (Molecular Research Centre) according to the manufacturer’s instructions. Total RNA (10 μg) from each tissue was separated on a 1.2% agarose formaldehyde gel at 80 V for 4 h and blotted onto Hybond-NX membrane (GE Healthcare) using standard procedures (Sambrook et al., 1989). Following transfer, RNA was immobilized onto the membrane using a CL-1000 Ultraviolet Crosslinker (UVP) set at 120 mJ cm−2. Probes were prepared using Ready-To-Go DNA Labeling Beads (GE Healthcare) and labeled with [α-32P]dCTP (Amersham Biosciences). Northern hybridization was performed at 42°C according to Sambrook et al. (1989). After hybridization, the membranes were washed in four changes of 1× SSC/0.1% SDS buffer at 42°C, before being exposed to BioMax MS-1 Autorad film (Kodak).

Comparison of Pistil Data Sets from Different Species

Pistil-enriched data sets from Arabidopsis (Arabidopsis thaliana; Swanson et al., 2005; Tung et al., 2005), rice (Oryza sativa; Li et al., 2007), crocus (Crocus sativus; D’Agostino et al., 2007), and tobacco (Nicotiana tabacum; Quiapim et al., 2009) were used for comparison with the S. squalidus data set. Functional annotation was assigned for genes in each data set according to the Gene Ontology database. Common genes between data sets were identified using keyword searches. Of these, genes possessing high levels of sequence homology were identified by aligning sequences (see below) and calculating the percentage of sequence identity.

Sequence Alignment

DNA and protein sequences were aligned using DNAMAN (Lynnon Corp.). Homology trees were created from multiple alignments using default parameters. The DNAsp package was used to calculate summary statistics of polymorphism data. Phylogenetic trees were generated from alignments using PAUP version 4.0b 10 (Swofford, 2003). Parsimonius trees were generated via a heuristic search with branch swapping set at 1,000 rearrangements. Bootstrap calculations were based on 1,000 replicates.

Sequence data from this article can be found in the GenBank/EMBL data libraries under the accession numbers given in Table I.

Supplemental Data

The following materials are available in the online version of this article.

  • Supplemental Figure S1. The phylogenetic distribution of species most widely used in studies of pollen-pistil interactions.

Supplementary Material

[Supplemental Data]

Acknowledgments

We thank Matthew Hegarty, Tom Batstone, and Christopher Thorogood for constructive comments on earlier drafts of the manuscript, Gary Barker for bioinformatic assistance, Andrew Hughes for plant maintenance, and Christopher Thorogood for the stigma illustrations.

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