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Two’s company, three’s a crowd: co-occurring pollinators and parasite species in Breynia oblongifolia (Phyllanthaceae)

Abstract

Background

Obligate pollination mutualisms (OPMs) are specialized interactions in which female pollinators transport pollen between the male and female flowers of a single plant species and then lay eggs into those same flowers. The pollinator offspring hatch and feed upon some or all of the developing ovules pollinated by their mothers. Strong trait matching between plants and their pollinators in OPMs is expected to result in reciprocal partner specificity i.e., a single pollinator species using a single plant species and vice versa, and strict co-speciation. These issues have been studied extensively in figs and fig wasps, but little in the more recently discovered co-diversification of Epicephala moths and their Phyllanthaceae hosts. OPMs involving Epicephala moths are believed occur in approximately 500 species of Phyllanthaceae, making it the second largest OPM group after the Ficus radiation (> 750 species). In this study, we used a mixture of DNA barcoding, genital morphology and behavioral observations to determine the number of Epicephala moth species inhabiting the fruits of Breynia oblongifolia, their geographic distribution, pollinating behavior and phylogenetic relationships.

Results

We found that B. oblongifolia hosts two species of pollinator that co-occurred at all study sites, violating the assumption of reciprocal specificity. Male and female genital morphologies both differed considerably between the two moth species. In particular, females differed in the shape of their ovipositors, eggs and oviposition sites. Phylogenetic analyses indicated that the two Epicephala spp. on B. oblongifolia likely co-exist due to a host switch. In addition, we discovered that Breynia fruits are also often inhabited by a third moth, an undescribed species of Herpystis, which is a non-pollinating seed parasite.

Conclusions

Our study reveals new complexity in interactions between Phyllantheae and Epicephala pollinators and highlights that host switching, co-speciation and non-pollinating seed parasites can shape species interactions in OPMs. Our finding that co-occurring Epicephala species have contrasting oviposition modes parallels other studies and suggests that such traits are important in Epicephala species coexistence.

Background

Pollination mutualisms are amongst the most abundant and widely recognized forms of mutualism. Many different orders of insects, as well as vertebrates such as birds, bats and other mammals can act as pollinators, sometimes simultaneously [1,2,3,4]. Many plants are pollinated by several different pollinator species, whilst others are only visited by a single species [1,2,3]. Thus pollination mutualisms display a fascinating range of interactions from highly specialized to relatively generalized [5].

Obligate pollination mutualisms (OPMs) are specialized interactions in which female pollinators transport pollen between the male and female flowers of a single plant species and then lay eggs into those same flowers. Pollinator offspring hatch and feed upon some or all of the developing ovules pollinated by their mothers. The reward for pollination is a highly reliable food source for developing pollinator offspring. In return for this resource, pollinators provide a highly specific pollination service. OPMs have now been documented in several phylogenetically disparate plant lineages, with the best known cases involving Ficus [6], Yucca [7], Globeflowers [8] and some Phyllanthaceae [9].

Pollination mutualisms in the plant family Phyllanthaceae were first discovered in Glochidion [10], a genus containing approximately 300 species distributed broadly across Australia, Asia and Oceania [11]. All Glochidion species are believed to be involved in OPMs with Epicephala (Gracillariidae) moths [9]. OPMs have also been documented in several species of two additional genera within the Phyllanthaceae; Breynia [12] and Phyllanthus [13]. However, not all Breynia and Phyllanthus species have OPMs. OPMs involving Epicephala moths are believed to occur in approximately 500 species of Phyllanthaceae [14], making it the second largest OPM group after the Ficus radiation (> 750 species).

Despite the loss of plant reproductive output resulting from seed consumption, pollination by these seed predators has led plants to specialize and evolve characteristics that increased pollination efficiency by these partners. For instance, the uni-sexual flowers of Epicephala pollinated species from the tribe Phyllantheae have fused anthers enclosed by fused sepals [9]. These features aid in pollen collection and prevent access by less effective pollinators to pollen and nectar resources. Pollinators too, have evolved specialized morphological adaptations such as combs, pockets [15] and tentacles [16] with which to capture and manipulate pollen. In addition, many pollinators use these traits to deposit pollen deliberately through stereotyped behaviors, known as active pollination [17]. This is in contrast to the more widespread passive pollination where animals seeking nectar and pollen passively deposit pollen on flowers as a by-product of their foraging activities. The broad similarities seen between different OPMs make them useful model systems in which to study the co-evolutionary processes that give rise to and maintain mutualisms.

Strong trait matching between OPM plants and their pollinators is expected to result in reciprocal partner specificity and co-speciation [18,19,20,21] and there is strong evidence for these processes in the global radiation of Ficus spp. and their pollinating wasps [22, 23]. Strict co-speciation and reciprocal specificity, however, are not always the case in OPMs [24,25,26,27,28,29,30]. Recent work has shown that many Ficus species have more than one, and up to six, pollinator species [27, 29, 31, 32]. Multiple pollinator species are also sometimes found in Yucca [33] and Phyllantheae [34]. Therefore, additional processes must play a role in shaping interactions and speciation in OPMs.

Multiple pollinators on the same host plant indicate that plant and pollinator speciation are not perfectly linked. Where speciation occurs in the pollinator but not the plant, a plant will become host to co-pollinating sister species [27, 32]. Pollinators might speciate for a variety of reasons, such as in response to local climatic conditions [24, 27, 35] or by allopatric speciation [30, 33, 36]. Speciation on a single host will result in co-pollinators that are sister species and form a monophyletic group within a phylogeny. In contrast, two non-sister species may share the same host plant if one pollinator shifts from its ancestral host plant to a new one. Host shifts are thought to have occurred in several Ficus lineages [37,38,39] as well as in the Phyllantheae [30, 34, 40]. Furthermore, host shifts are seen as important processes in the evolution and diversification of herbivorous insects in general as they often precede species radiations [41,42,43,44].

Given that many OPMs involve multiple species of pollinator, an important question is “Do those species have differing effects on the fitness of their host plant?” Co-pollinators may impose different selection pressures on a shared host plant. If those pollinators have different distributions then the trajectory of co-evolution may differ between host plant populations, potentially resulting in host plant speciation [45]. Where pollinators co-occur, they may compete with each other directly. Competition between mutualists has been proposed as an explanation for secondary loss of pollination behavior, sometimes referred to as “cheating”, in some pollinator lineages [7].

In OPMs, pollinators may also occur with non-pollinating seed parasites that are unrelated to pollinators, consume seeds and do not pollinate flowers [10, 46, 47]. Like pollinators, parasites can also show high levels of reciprocal adaptation and specialization [18, 41, 48]. In OPMs, parasitic species may be as host specific as pollinators [49] or may use a broader range of host plants than co-occurring pollinators [46]. The exploitation of OPMs by parasites may reduce host plant fitness, potentially leading to the breakdown of the mutualism [19]. However, empirical evidence that parasitic species impose a significant negative impact on host species is limited [50, 51]. Identifying cheaters and parasites is important in understanding how mutualisms remain evolutionarily stable over time, as well as the relative importance of mutualism and parasitism in reciprocal specialization and co-speciation [46].

Although the broad co-evolutionary patterns of Epicephala and their Phyllanthaceae hosts are relatively well understood [14, 30, 40, 52], detailed knowledge of Epicephala diversity at the host species level is lacking. In addition, several species of Phyllantheae are known to host non-pollinating seed parasitic moths [46, 47], but their diversity and effects on the mutualism are poorly known. This is particularly true for Breynia, where the majority of the 70+ recognized species have not been surveyed [53]. Furthermore, there have been few wide geographic surveys of the pollinator(s) and parasites of any given Phyllanthaceae species, and almost none with dense sampling within and across sites. This will inevitably bias records towards suggesting low pollinator diversity and reciprocal partner specificity [14].

Many species of Epicephala have been described from Australia. However, most taxonomic descriptions do not include host plant affiliations and are based on external morphology only, which often varies little between species, making their identification difficult [54]. We investigated the number of moth species associated with the fruits of Breynia oblongifolia, a widespread Australian plant found along approximately 2500 km of the eastern seaboard of Australia. B. oblongifolia is known to host at least one species of Epicephala pollinator in the northern part of its range [48], but sampling has so far been limited to a single site. If multiple Epicephala species are found, then do they have distinct geographic distributions? Do all the Epicephala species actively pollinate B. oblongifolia or are non-pollinating “cheater” species also present? What is the phylogenetic relationship of any co-existing species? And finally, what other species, if any, use the fruits of B. oblongifolia? We used a mixture of DNA barcoding, genital morphology and behavioral observations to determine the number of moth species in the fruits of Breynia oblongifolia, their geographic distribution, pollinating behavior and phylogenetic relationships. Our aim is not to provide species descriptions but to use the aforementioned techniques to test the assumption of strict reciprocal specificity in B. oblongifolia. We hope that this study will help to inform future taxonomic work as well as furthering understanding of the diversity, ecology and evolutionary history of pollinators involved in OPMs.

Methods

Sampling methods

We sampled Breynia oblongifolia fruits once from each of six study sites (Table 1) over approximately 750 km along the east coast of New South Wales (NSW), Australia. Two to six fruits were picked haphazardly from each of 15–30 plants per sampling site, depending on the number of plants and mature fruits. With the exception of Richmond, all sites were coastal and in close proximity (< 200 m) to the ocean shoreline. Fruits were only sampled when larger than 5 mm in diameter and beginning to redden, indicating fruit maturity. Fruits that already had emergence holes were avoided. Fruiting time varied between sites, so it was not possible to collect fruits from all sites at the same time of year.

Table 1 Fruit, plant and insect sampling by site

Fruits were placed singly in 70 ml plastic pots fitted with nylon mesh covered holes to allow for air circulation. The pots were stored at room temperature to allow insects to emerge. Insects emerged as larvae before pupating in the tubes. Adult insects were killed by freezing and then stored in 95% ethanol prior to DNA extraction. Fruits were dissected after 2 months to check for insects that had died or failed to emerge.

DNA barcoding

For DNA extraction, two whole legs were removed from each adult insect, dried and placed in 100 μl of a 5% Chelex® 100 Resin - TE solution (1 M Tris pH 8.0, 0.5 M EDTA) [55] in 1.5 ml centrifuge tube. The sample tissue was homogenized using a 5 mm stainless steel ball bearing in a Tissuelyser II (Qiagen, Venlo) at 30 Hz for 2 min. Cell disruption was performed by heating to 96 °C for 15 min. The solution was then centrifuged at 13,000 rpm for 15 min. The resulting supernatant was removed by pipet and stored at − 20 °C.

DNA barcoding was used to delimit insect species, by amplifying and sequencing a fragment of the mitochondrial cytochrome c oxidase subunit I (COI) gene using the lepF1 and R1 primers [56]. PCR reactions were as follows: 1.2 μl of 10x NH4 Reaction Buffer (Bioline, Australia), 0.5 μl of 25 mM MgCl2, 2.5 μl of 25 mM dNTP in Tris-HCL [pH 8.0], 4 μl of ~ 1 ng/ μl genomic DNA in TE, 0.5 μl of 10 pmol forward and reverse primer, 0.5 μl of BIOTAQ™ (Bioline, Australia) and made up to 12 μl total volume with Ultrapure Water (Invitrogen, California). PCR reactions were performed on a DNA Engine Dyad Peltier Thermal Cycler (Bio-Rad, NSW). The cycling conditions were 95 °C for 5 min followed by 35 cycles of 94 °C for 40 s, 47 °C for 60 s and 72 °C for 70 s and a final elongation period of 72 °C for 5 min. PCR amplification was checked by running aliquots of the reactions on a 1.5% TBE-agarose gel stained with SYBR™ Safe DNA Gel Stain (ThermoFisher Scientific, NSW) and visualized under UV light. Amplified DNA fragments were sequenced unidirectionally at the Hawkesbury Institute for the Environment on an Applied Biosystems genetic analyzer 3500 (Applied Biosystems, California) using BigDye Terminator kit (v3.1, Applied Biosystems, California). Sequencing reactions were performed with 5 pmol of the forward primer and ~ 20 ng of DNA in 10 μl of Ultrapure Water (Invitrogen, California).

Sequences were then grouped into Epicephala and non-Epicephala insects. COI sequences from our Epicephala moths were aligned with the reference sequence, Epicephala sp. Breynia oblongifolia, (GenBank: FJ235381.1) using the Geneious alignment tool in the Geneious® Program (10.3.3). Any nucleotides with more than a 5% probability of error were removed from the ends of sequences and sequences < 300 bp long were discarded from the analysis. Sequence divergences were displayed as Neighbor Joining (NJ) Consensus Trees in Geneious® using the Tamura-Nei genetic distance model with 200 bootstrap replicates. The output of the NJ trees was used to calculate the number of species per sampling site and visualized using ggplot2 [57] and rgdal Library [58] in RStudio (Version 1.0.153) [59].

Alignments of Epicephala sequences from Geneious® were exported into Rstudio (R Version 2.14.0) [59] and analyzed using the Spider [60] and Ape [61] packages to generate a pairwise distance matrix and calculate the inter and intra species pairwise genetic distances. The sequence from the Epicephala moth previously sampled from Breynia oblongifolia by Kawakita et al., [14] nested within our species B and as such was included in the species when calculating the inter and intra species pairwise percentage distances.

COI sequences from non-Epicephala moths were identified using BLAST searches in the Geneious® program. Where the percentage pairwise identity between the query sequence and the hit with the greatest percentage pairwise identity was greater than 99%, we assumed that the two sequences belonged to the same species. All queried sequences belonged to an undescribed species of Tortricidae. To determine if this is closely related to totricids found feeding on seeds in other Phyllantheae fruits [46], we aligned sequences from that study with our own using ClustalW alignment tool in the Geneious® program and calculated their pairwise percentage similarity. COI sequences from non-Epicephala moths were deposited in Genbank® (Accession numbers: MH544592-MH544609).

Phylogenetic analysis

We conducted a phylogenetic analysis to determine the evolutionary relationships of the Epicephala species on B. oblongifolia. In addition to COI, we amplified and sequenced sub-units of the nuclear genes, elongation factor 1-alpha (EF-1α) and arginine kinase (ArgK) [62], for five individuals from each of the Epicephala species identified by the NJ tree, using individuals from the Richmond and Narooma sampling sites. The PCR conditions were as for the COI gene fragment but annealing temperatures were 58 °C for both the EF-1α and ArgK primer pairs. Sequencing reactions were the same as COI but we used the reverse primer for EF-1α as this gave higher quality results. The COI, EF-1α and ArgK nucleotide sequences used for the phylogenetic analysis were deposited in GenBank® under the accession numbers MH480583-MH480602 (COI and ArgK) and MH544582-MH544591 (EF-1α.) Additional sequences for Epicephala individuals from Breynia spp. sampled and sequenced from previous studies [9] were obtained from GenBank®, accession numbers: COI (FJ235373.1-FJ235391.1, PopSet: 2195523650), EF-1α genes (FJ235491.1-FJ235514.1, PopSet: 219552572) and ArgK (FJ235392.1-FJ235415.1, PopSet: 219552403). One Epicephala species, Epicephala sp. ex Phyllanthus koniamboensis, and three non-Epicephala Gracillariids were used as outgroups: Cuphodes diospyrosell, Melanocercops ficuvorella and Stomphastis labyrinthica.

Alignments were performed separately for each gene with the ClustalW tool in the Geneious® Program. The COI (429 bp), ArgK (533 bp) and EF-1α (436 bp) alignments were then concatenated into a single 1398 bp sequence for each individual for phylogenetic analysis. We used PartitionFinder2 [63] to identify the most suitable partitioning scheme and model of molecular evolution for each partition based on AICc scores, specifying linked branch lengths. The best partitioning scheme identified by PartitionFinder2 had 8 partitions and used 6 molecular evolution models. However, this partitioning scheme frequently suffered from numeric instability and low ESS scores (< 20). As such we opted to use an intuitive partitioning scheme separating the nuclear and mitochondrial genes into two groups and modelling the 1st and 2nd codon positions separately from the 3rd codon position in each group [63,64,65,66]. The concatenated alignment was exported to Beauti2 and we conducted our analysis in BEAST v2.4.7 [67]. For both models, we specified the most parameter rich yet least restrictive model, GTR + I + G [68] as the substitution model for all 4 partitions. We used a strict clock model with clock rate set to 1 and specified a Yule Tree model with the chain length set to 10,000,000, a burn in of 10% and sampled every 1000 iterations. The models were run in BEAST with a random number seed and the outputs of the models was visualized with Tracer v1.6.0 [69].

Species delimitation and hypothesis testing

Our analysis indicated that the two Epicephala species on B. oblongifolia are distinct species. However, the relationships between these species and the Epicephala collected from other Breynia host plants remained unclear. As such, we used Generalized Mixed Yule Coalescent models (GMYC) [70] in the R package Splits [71] and Poisson Tree Processes (PTP) models [72] to perform species delimitation using the maximum clade credibility tree generated by BEAST. For the GYMC analysis we specified a “single-threshold” and otherwise used the default settings. For the PTP analysis we specified a chain length of 100,000 and a burn in of 10%.

We tested the alternative hypothesis that the two Epicephala species identified by this study form a monophyletic group (i.e. are sister taxa) in BEAST. To do this we then created an alternative model in which we constrained the phylogenetic tree topology to force all our Epicephala sequences from Breynia oblongifolia to form a monophyletic group. We then used the Path Sampler application in BEAST to estimate marginal likelihoods for both models [73]. We ran two separate analyses of 8 and 50 steps, both using a chain length of 1,000,000, an α value of 0.3 and a burn in of 50%. We compared the two models by calculating the corresponding Bayes Factors, defined as the difference in the log marginal likelihoods between the two models [74].

Genital dissections

Male and female genitalic morphology can also be useful in the identification of Epicephala species, as the reproductive structures in both sexes show a high degree of morphological variation [54]. We dissected the genitalia of a subset of 10 males and 10 females from the two species identified from molecular data, in order to determine if morphological differences also existed between them. Dissections and slide preparation were performed under a Leica MZ FLIII stereomicroscope (Leica Microsystems, Wetzlar, Germany). Abdomens were removed from adult Epicephala, placed in a 10% KOH solution and heated to 100 °C before being allowed to cool for 5 min. For imaging, genitalia were stained using a 1% Chlorazol Black solution (Sigma-Aldrich, Missouri, USA) and dehydrated in a series of 70–100% ethanol solutions before being mounted in Euperal (ASCO Laboratories, Manchester, England) on a glass slide. Imaging of the genitalia was performed using a Leica DCF 500 camera fitted to a Leica M205A stereomicroscope (Leica Microsystems, Wetzlar, Germany). We took images at multiple depths and stacked them using Zerene Stacker (Zerene Systems, Richland, USA). After noting considerable differences in the females’ ovipositors we also dissected and imaged the ovaries of both species. We dissected the abdomens of 6 females from both species collected at the Richmond site in a 30% ethanol solution and imaged them in solution as detailed above.

Pollination observations

We observed Epicephala moths pollinating and ovipositing into Breynia oblongifolia flowers at the Richmond site (RC) from 13/09/2017 to 22/04/2018 on up to four evenings per week. We also made attempts to observe pollination behaviors at the Shoal Bay site (SB) on the evening of 15/01/2017. At RC and SB, B. oblongifolia makes up a large proportion of the woodland understory and occurs there at all growth stages. Pollination behaviors were observed shortly after sunset when the moths became active. White LED headlights were frequently found to disturb pollinating moths, so moths were located and observed using red LED headlights, which did not noticeably alter their behavior. When a moth had been observed to pollinate and oviposit into a flower, the moth and flower were removed and taken back to the lab for identification and further study.

The collected flowers were dissected under a EZ4 W Stereo Microscope (Leica Microsystems, Wetzlar, Germany) and the number of pollen grains and location of oviposited eggs in the flowers were determined. Moths were killed by freezing, identified by genital dissection and checked for pollen under a stereo microscope. We used a Welch’s t-test to determine if the number of pollen grains deposited by females differed between species. Images of females of both species with pollen were obtained using a Phenom XL Scanning Electron Microscope (Phenom World, Eindhoven, Netherlands) at the Advanced Materials Characterization Facility at Western Sydney University, Parramatta. Data on pollination observations were deposited in figshare [75].

Results

DNA barcoding

COI sequences > 300 bp were obtained for 134 Epicephala spp. moths from the six sampling sites (Table 1). Neighbor joining trees of COI pairwise distances revealed two species (A and B) associated with Breynia oblongifolia (Additional file 1). The sequence of the Epicephala moth previously sampled from Breynia oblongifolia by Kawakita et al. [14] nested within our species B.

The mean pairwise genetic distance within Epicephala species was 0.37 and 0.08% for A and B respectively. In contrast, the mean pairwise distance between individuals of the different species was 3.54%. The distribution of pairwise percentage distances between species (interspecific) greatly exceeded and did not overlap with pairwise distances within species (intraspecific), resulting in a “Barcoding Gap” [76] (Fig. 1). We consider that these results support the existence of two Epicephala species on B. oblongifolia.

Fig. 1
figure 1

Frequency distribution of intraspecific and interspecific pairwise percentage distances in a sub-unit of the COI gene sequenced from Epicephala species a and b

Both Epicephala spp. A and B were found at all sites (Fig. 2), with no obvious differences in geographic distribution. At a finer scale, Epicephala spp. A and B were collected from fruits on the same individual plant at three sites on eight different plants (Table 1). The relative abundance of the species differed between sampling sites with B dominant at most sites but A most abundant at Narooma (NR), the most southerly sampling site.

Fig. 2
figure 2

Distribution of sampling sites in New South Wales and relative abundance of Epicephala and Herpystis species collected from Breynia oblongifolia as determined by Neighbor Joining Consensus Trees of COI mitochondrial sub-units

Moths other than Epicephala (n = 19) were found to inhabit B. oblongifolia at 3/6 sites (Fig. 2). The mean pairwise genetic identity for those moths was 99.37% (sd = 0.44), suggesting a single species. In addition, this species was found to have a > 99% pairwise identity to Herpystis sp. ANIC1 (Tortricidae)(museum voucher: 11ANIC-12,766, BOLD: AAX1579). Herpystis sp. ANIC1 is an as yet undescribed specimen in the Australian National Insect Collection (CSIRO, Black Mountain, Canberra), and was sequenced as part of the International Barcode of Life Project [77]. This suggests strongly that our moths belong to Herpystis sp. ANIC1 and they will henceforth be referred to as such. When we compared the COI sequences of Herpystis sp. ANIC1 and Tritopterna sp. AK-2010, another torticid moth taken from the fruits of Glochidion (Phyllantheae), the pairwise identity was 87.6% (sd = 0.50). We attempted to create a phylogeny for Herpystis sp. ANIC1 but found no sequences were available in any public database for any other member of this genus.

Phylogenetic analysis

Both species of Epicephala from B. oblongifolia grouped within the Epicephala moths sampled from other Breynia species. The Epicephala collected from B. oblongifolia were found not to be monophyletic. Species A was most similar to, but distinct from one Epicephala moth collected from Breynia disticha in New Caledonia (Fig. 3). Percentage similarity in the COI gene between that insect and our own was 97.9–98.6%, whilst within species A, percentage similarity was slightly higher at 98.8–99%. As such, it is not clear if the insects from B. disticha is a distinct species but it is certainly closely related to our species A. The lack of other sequences for moths from B. disticha prevents further analysis for now. The Epicephala moth previously collected from Breynia oblongifolia [14] was found to be closely related to our species B. The percentage similarity in COI sequences between Epicephala sp. ex. B. oblongifolia and our own was between 98.6–99.7%. Percentage similarity within clade B was comparable at 98.7–99.2%, indicating that Epicephala sp. ex. B. oblongifolia and our clade B likely belong to the same species (Fig. 3). Overall the phylogenetic analysis indicates that Breynia oblongifolia hosts at least two species of Epicephala.

Fig. 3
figure 3

Bayesian phylogeny of Epicephala spp. collected from Breynia spp. generated by BEAST using concatenated COI, EF-1α and ArgK nucleotide sequences (1389 bp). Species names were included where known, undescribed species were labeled by host plant. Posterior support values are given adjacent to selected nodes. C. diospyrosella, M. ficurvorella, S. labyrinthica and P. koniamboensis were used as outgroups. Sample names refer to sampling location; Narooma (NR) and Richmond (RC)

Species delimitation

The GYMC analysis determined that our Epicephala species A and B are separate species and that the Epicephala moths previously collected from B. oblongifolia [14] were the same species as our species B. Furthermore, it also separated our species A and the Epicephala previously collected from B. disticha in New Caledonia into separate sister species. However, yule support values for nodes in the GMYC analysis were low (< 0.45). In particular, support values for the separation of species A and Epicephala sp. ex. B. disticha was very low at 0.2. Conversely, although the PTP analysis agreed that species A and B were distinct and that Epicephala sp. ex. B. oblongifolia belonged to our species B, that analysis grouped species A and Epicephala sp. ex. B. disticha into a single species that occurs in both Australia and New Caledonia. Again, the lack of multiple sequences for Epicephala sp. ex. B. disticha limits our ability to resolve this issue.

Species hypothesis testing

For the 8 step run, the marginal log likelihood of the unconstrained tree was − 5148.63 compared with − 5225.65 for the constrained monophyletic tree. For the 50 step run, the marginal log likelihood of the unconstrained tree was − 5183.81 compared with − 5293.23 for the constrained monophyletic tree. The log Bayes Factors for the 8 and 50 step runs were 104.02 and 109.47 respectively which strongly suggests that species A and B do not form a monophyletic clade [74, 78].

Genital dissections

In both sexes, genital morphology differed between species. Males of species B possessed a varying number of irregular “teeth-like” structures along the ventral edge of their obtuse valvae, as well as a pair of posteriorly pointed hooked spines along their inner surface (Fig. 4a). The valvae of males from species A were falcate in shape. In addition, the ventral edge of base of the valvae showed a strong sigmoidal curve which terminated in an acute spine pointed toward the phallus (Fig. 4b). The cucullus of species A was straight with a hairy inner surface and a rounded distal end, whilst in species B the cucullus was flat ended, obtusely angled ventrally and was more densely haired than species A. The phallus of males from species B possessed a variable number of large posteriorly orientated sclerotized spines which were largest apically (Fig. 4c). Conversely, males from species A showed a single small sclerotized longitudinal ridge with a small obtuse spine on the outer surface at the posterior end (Fig. 4d). In addition, several sclerotized spines were visible on the vesicle of males from species A.

Fig. 4
figure 4

Reproductive structures of Epicephala moths collected from Breynia oblongifolia. Left side, species (b), right side, species (a). Males: a and b Male genitalia, c and d Phallus. Females: e and f Female genitalia. Labels refer to valvae (Vl), cucullus (Cl), vesicle (Vs), sternite (St), lamella postvaginalis, antrum (An), ductus bursae and ductus seminalis (Ds)

In females from species B, the seventh sternite was roughly trapezoid in shape and strongly wrinkled at the base (Fig. 4f). The antrum was broad and short, narrowest in the middle and approximately as long as the seventh sternite. The lamella postvaginalis was weakly bilobed with an enlarged sac before the ductus bursae, which was not sclerotized. Females from species A had a triangular seventh sternite. Both the seventh sternite and tergite were densely haired at the posterior end. The lamella postvaginalis was strongly bilobed and was often visible on the ventral surface of the abdomen (Fig. 4e). The antrum was long, as wide as the seventh tergite and asymmetrically more sclerotized on along the left lateral side which also featured a pronounced bulge above the ductus bursae and ductus seminalis. Unlike species B, in species A both the ductus bursae and ductus seminalis were strongly sclerotized. Differences were also seen in the shape of the females’ ovipositors. The apexes of the ovipositors in females from species B were shorter, blunter and roughly square tipped with a pronounced shoulder (Fig. 5d). By comparison females from species A had longer, narrower, “needle-like” ovipositors that curved backwards slightly towards the dorsal side (Fig. 5c). In addition, the opening from which eggs are extruded was on the dorsal side for species A and the ventral side for species B. The eggs and ovaries of both species also differed strongly in shape. The eggs of species A were “spindle” shaped; longer and thinner than the broader oblong shaped eggs of species B (Fig. 6).

Fig. 5
figure 5

Scanning electron microscope (SEM) images of Epicephala moths collected from Breynia oblongifolia. Left side, species (a), right side, species (b). a and b Females with pollen artificially coloured yellow, c and d ventral view of female ovipositors

Fig. 6
figure 6

Ovaries and eggs of Epicephala sp. (a) (left) and Epicephala sp. (b) (right)

Pollination and oviposition observations

In total we caught 77 female Epicephala moths visiting flowers between 13/09/17 and 22/04/18 at the Richmond site. Eighteen females were from species B and 59 were from species A. Females from both species were active over the same period of time and all captured females carried pollen on their proboscises (Fig. 5a-b). The mean number of pollen grains deposited by females from species B was 21 (n = 18) and 19 for species A (n = 59). There was no statistical difference between species A and B in the number of pollen grains deposited on flowers (t = − 0.69, df = 54, p = 0.49). Females from species A used their long needlelike ovipositors to deposit eggs into the tissue directly beneath the stigma and above the ovary (Fig. 7), resulting in a narrow scar in the plant tissue. In contrast, females from species B oviposited into the space between the ovary and the sepal and this did not result in any observable damage.

Fig. 7
figure 7

Cross sectional view of a female flower of B. oblongifolia showing the oviposition sites of Epicephala sp. A and B, ovules (Ov), sepals (Sp), and stigma (St)

Although no Epicephala moths were active on the evening of 15/01/18 at the Shoal Bay site, we observed 10–20 Herpystis sp. ANIC1 ovipositing eggs onto the external surface of already developing B. oblongifolia fruits (< 5 mm). Captured Herpystis moths did not have pollen on their proboscises (n = 9) and were not seen to visit female or male flowers.

Discussion

Taken together, our molecular and morphological data, along with behavioral observations, clearly indicate the presence of two species of Epicephala pollinator on B. oblongifolia. Breynia hosts these two closely related species in all six sampling sites, violating the traditional assumption of reciprocal specificity [79]. Both species carry pollen and were seen to actively pollinate female flowers and as such so there is no indication that either of the two is acting as a “cheat” within the mutualism. However, we also found that Herpystis sp. ANIC1 infests fruits, does not carry pollen and oviposits after fruit development has initiated, indicating that it is a non-pollinating seed parasite. Breynia, therefore, has two closely related co-existing pollinating moths and a third non-pollinating seed parasite species, from a distantly related moth lineage.

Parasites

Seed parasites are not uncommon in the Phyllantheae [10, 46, 47] or in OPMs in general [80]. Moths in the genera Peragrarchis (Carposinidae), Cryptoblabes (Pyralidae) and Tritopoterna (Tortricidae) have been found in the fruits of Glochidion and have all been recorded to use multiple host plant species. Herpystis, the moth identified by our study, and Tritopterna both belong to the Eucosmini tribe of the Tortricidae [81]. However, they are not believed to be closely related [82] and our analysis of their COI genes supports this. Members of these two related genera seem to have independently adopted a seed-parasitic lifestyle on plants in the Phyllantheae.

Herpystis was sampled at 3/6 sites and was often as abundant as Epicephala. This raises the possibility that Herpystis may vary considerably in abundance across sites. Some Breynia populations may endure high seed predation by this species, whilst others escape the loss of reproductive effort. Selection could thereby differ between Breynia populations, creating a co-evolutionary mosaic [45]. Further sampling is required to determine the impact of parasitism on the mutualism and its evolutionary implications.

Herpystis species have been documented to infest the fruits of other Breynia sp. in Australia [82], but there are also records of them infesting the fruits of other unrelated plant taxa [83]. As such, it remains to be seen how widespread and host specific the associations between Breynia and Herpystis species are. In the OPMs occurring in Yucca spp., pollinators and closely related, co-occurring florivores have similar degrees of host specificity [49]. However, a study that compared the host specificity of Epicephala and non-pollinating seed parasitic moths in several species of Glochidion in Japan and Taiwan [46], found that Epicephala pollinators are more host specific than seed parasitic genera using the same host plant. The high specificity of Epicephala pollinators in Glochidion may be due to strong selection for host fidelity where multiple potential hosts occur [46]. High host fidelity may be driven by species specific floral traits that evolved to prevent heterospecifc pollen transfer between co-existing host plants. Such selection would not be imposed on non-pollinating seed parasites. To date, there has been only one study, in China, of host specificity in co-occurring Breynia species [34]. In that instance, pollinators were found to use multiple, although closely related and potentially hybridizing, host species. Therefore, it would be interesting to determine if the patterns of pollinator and parasite host specificity are consistent in co-occurring Breynia species, of which several occur in some tropical regions of Australia [84]. Such a study may help to further our understanding of the factors that promote species specificity in OPMs.

Co-occurring pollinators

The two species identified here show obvious morphological differences in both their ovaries and in the male and female genitalia. The description and identification of Epicephala species relies heavily on genital morphology [54, 85, 86]. The large variation in genital morphology between species is common in Epicephala but unusual in the wider family Gracillariidae [54]. The reason for such marked variation between Epicephala species remains unclear, but could be related to species recognition [87], sperm competition [88, 89] or sexual conflict between males and females [90]. Whatever the cause, the morphology described here will prove useful for the future identification of these species. However, because of the lack of information on genital morphology in the described Australian Epicephala species, the identity of the two species will remain uncertain until a revision of the described Australian genera is completed.

The only previous study of B. oblongifolia pollination identified one Epicephala species from a single site in the Windsor Tablelands in Northern Queensland [14]. That study used genital morphology (data unpublished) to distinguish the number of species collected from each host plant species prior to sequencing [14]. Based upon this they identified and sequenced only a single Epicephala moth (species B) from B. oblongifolia [14]. Analysis of that sequence with our own clearly places the specimen collected from Northern Queensland within our species B. Species B comprises most of our samples, including ones collected from Southern New South Wales (Fig. 4). It is therefore likely that Epicephala species B has a latitudinal range of at least 2500 km along Australia’s east coast.

In New South Wales Epicephala species A and B co-occur at all our study sites over a distance of approximately 750 km. At three sites we found both species in fruits collected from the same individual plant (Table 1), suggesting that they are probably not using different host plant sub-populations. Additional sampling in Queensland will be required to determine if both species occur throughout the large geographic range of Breynia oblongifolia.

In some OPMs, particularly in Ficus spp., multiple pollinators of a single host plant species can have distinct habitat or geographic distributions [24, 27, 35, 91]. In some instances, regional climatic variation may promote local adaptation and speciation in pollinators [35]. Geographic segregation in OPM pollinators on the same host can also result from allopatric speciation due to gene flow barriers [30, 33]. Several studies have sampled pollinators from Ficus rubiginosa, along the east coast of Australia, and the geographic range of this fig species is very similar to that of Breynia oblongifolia in coastal regions [27, 32, 35]. Those studies found a monophyletic group of five largely cryptic species of pollinator with a mixed pattern of geographic segregation and local co-existence. Studies on F. rubiginosa suggest that multiple factors including climate, historical biogeography and possible interactions with Wolbachia endosymbionts can influence pollinator diversity in OPMs. The distribution of the two pollinator species identified in our study was found to be entirely overlapping within our sampling area. Regional climatic adaptation therefore cannot explain their co-occurrence.

Our phylogenetic analysis and species delimitation models indicated that our species A is very closely related to the Epicephala sp. collected from B. disticha in New Caledonia [14] and that they may belong to the same species. However, as the two species delimitation models did not reach a consensus, we consider the question of whether these two Epicephala are in fact the same species or two closely related species remains a moot point. Addressing this requires further sampling and, in particular, detailed study of their genital morphology. Regardless, it seems likely that the co-occurrence of two Epicephala species on B. oblongifolia is consistent with a host switch. The ancestor of one of the two pollinators likely colonized B. oblongifolia from a related host, probably another Breynia species. Although it is possible that species A colonized B. oblongifolia from B. disticha, or vice versa, many alternative sequences of host shifts and speciation events are also imaginable. Ultimately, as we have data for only a few of the Epicephala species from the ~ 70 Breynia spp., it is not yet possible to determine the sequence of host shifts that resulted in these two pollinators sharing the same host.

Host switches are important factors in explaining the lack of strict sense co-speciation in OPMs [22, 26, 30]. They are well documented in Epicephala-Phyllantheae OPMs [30, 40] and, more generally, in the interactions between herbivorous insects and their plant hosts [41,42,43,44, 92]. The occurrence of two pollinator species on a single host in our own study is further evidence that plant-insect speciation within the Epicephala-Phyllantheae OPM is not entirely linked. In general, each major clade of the Phyllantheae that is involved in OPMs is host to a single unique clade of Epicephala [65], although there is at least one known exception [40]. Both Epicephala species identified by this study were nested within the Epicephala clade associated with Breynia spp. To date all Epicephala associated with Breynia species have been from this clade. As such, it is apparent that some degree of taxonomic matching is occurring in Epicephala-Phyllantheae OPMs [14, 40, 52] and is perhaps better defined as the co-divergence of species, or in this case genera and sub-genera [31].

Competition between pollinators

Both Epicephala species identified by this study acted as pollinators and were present at all sites, although species A was less abundant than species B at 5/6 sites (Fig. 2). There are several examples of Epicephala species co-existing locally on the same Glochidion host plants [30, 62], but Breynia has received less study [34]. Some evidence suggests that co-occurring species of pollinating Epicephala may be in competition [34]. At least one species of Epicephala seems to have displaced another ancestral species following a host shift [40]. As such, in some instances, competition between pollinators may result in the extinction of a less competitive species.

In OPMs, adult pollinators may compete for access to limited and ephemeral oviposition sites in the form of female flowers. In this situation competition is most likely pre-emptive, meaning that successful colonizers, in this case eggs and larvae, cannot be displaced from a flower, even by a superior competitor. Competition between pollinators in OPMs may therefore most closely resemble a lottery model, in which female flowers are limited, larvae cannot be displaced from those flowers and colonization of a flower by a larva is on a first-come, first-served basis [93, 94].

Lottery models alone, however, cannot explain co-existence as under these circumstances alone the species with highest population growth rate will eventually drive the other to extinction [95]. Co-existence under lottery-type competition can only occur if there is sufficient environmental heterogeneity to allow each species to have the highest population growth rates at a particular time or place in their shared habitat [96]. For example, closely related species of stingless bee co-exist on floral resources through specializing on high and low host plant densities [97] and similar patterns have been found in ants [98]. As such, competition between co-pollinators may be limited by subtle differences in their ecology and niche space [99].

The two Epicephala species in our study had distinctly shaped ovipositors and oviposition sites. Species A uses it’s longer “needle-like” ovipositor to deposit eggs into the plant tissue near the flower ovules. The eggs of species A are also long and thin in shape and this is most likely an adaptation to allow eggs to pass through the narrow ovipositor. Conversely, species B inserts its eggs between the sepal and the ovule wall using a shorter blunter ovipositor. The eggs of species B are correspondingly wider. Our finding of co-occurring pollinators with contrasting oviposition strategies is paralleled in other Breynia species [34], suggesting that this trait may be important for pollinator co-existence in Breynia.

Previous studies have suggested that ovipositing into the plant tissue may reduce egg and larval mortality, potentially giving internally ovipositing species a competitive advantage [34]. The internally ovipositing species A was the species most commonly collected during our pollination observations. However, the externally ovipositing species B was the species that emerged most frequently from fruits at the majority of study sites (Fig. 2). Ovipositing into plant tissue may in fact result in greater floral damage, a higher incidence of floral abscission and increased larval mortality, as seen in some Yucca and Phyllantheae [100,101,102]. Under these circumstances, externally ovipositing females might gain a competitive advantage. Whilst certain oviposition strategies give some species greater growth rates than their competitors, this does not explain how two species can co-exist, as seen in this study and others [34]. We hypothesize that the two oviposition modes seen here may result in different larval mortality depending on their environmental context. Such differences may allow for sufficient heterogeneity in growth rates to explain the co-existence of both species in line with the competition versus colonization theory of species co-existence [98]. It may also help to explain the variability in relative abundance of species across sites (Fig. 2). Further work is therefore required to determine the source of environmental heterogeneity that allows these two species, with very similar ecological niches, to co-exist over such a large area.

Conclusions

The results of our investigation add to the growing understanding of Epicephala diversity in OPMs. Fewer Epicephala species have been described to date than are estimated to exist [54]. Of the Phyllantheae plant species involved in OPMs that have been investigated, several are associated with multiple Epicephala pollinators as well as numerous parasitic insects. Epicephala diversity may therefore number many hundreds of species, representing a truly outstanding example of plant-insect co-divergence.

The finding of multiple species of highly adapted pollinators co-occurring on the same host is in keeping with a more nuanced view of co-evolutionary processes in OPMs and plant-insect interactions in general. Closely interacting species can show high levels of reciprocal adaptation [31, 103, 104] and varying degrees of strict co-speciation [20, 21] but are highly dynamic, frequently being affected by complex ecological and biogeographic factors such as host shifts [26, 27, 30, 105, 106]. These factors can create incongruences between plant-insect phylogenies but are themselves important processes in the diversification and evolution of species.

Abbreviations

GMYC:

Generalized Mixed Yule Coalescent models

NJ:

Neighbor Joining

OPM:

Obligate pollination mutualism

PTP:

Poisson Tree Processes

References

  1. Herrera CM. Floral traits and plant adaptation to insect pollinators: a devil’s advocate approach. In: LloydSpencer D, Barrett C, editors. Floral biology. Boston: Springer US; 1996. p. 65–87. https://doi.org/10.1007/978-1-4613-1165-2_3.

    Chapter  Google Scholar 

  2. Waser NM, Chittka L, Price MV, Williams NM, Ollerton J. Generalization in pollination systems, and why it matters. Ecology. 1996;77:1043–60. https://doi.org/10.2307/2265575.

    Article  Google Scholar 

  3. Potts S, Petanidou T, Roberts S, O’Toole C, Hulbert A, Wimer P. Plant-pollinator biodiversity and pollination services in a complex Mediterranean landscape. Biol Conserv. 2006;129:519–29. https://doi.org/10.1016/J.BIOCON.2005.11.019.

    Article  Google Scholar 

  4. Willmer P. Pollination and floral ecology. Princeton: Princeton University Press; 2011.

    Google Scholar 

  5. Waser NM, Ollerton J. Plant-pollinator interactions: from specialization to generalization. Chicago: University of Chicago Press; 2006.

    Google Scholar 

  6. Cook JM, Rasplus J-Y. Mutualists with attitude: coevolving fig wasps and figs. Trends Ecol Evol. 2003;18:241–8.

    Article  Google Scholar 

  7. Pellmyr O. Yuccas, yucca moths, and coevolution: a review. Ann Missouri Bot Gard. 2003;90:35–55.

    Article  Google Scholar 

  8. Pellmyr O. The cost of mutualism: interactions between Trollius europaeus and its pollinating parasites. Oecologia. 1989;78:53–9. https://doi.org/10.1007/BF00377197.

    Article  PubMed  Google Scholar 

  9. Kawakita A. Evolution of obligate pollination mutualism in the tribe Phyllantheae (Phyllanthaceae). Plant Species Biol. 2010;25:3–19.

    Article  Google Scholar 

  10. Kato M, Takimura A, Kawakita A. An obligate pollination mutualism and reciprocal diversification in the tree genus Glochidion (Euforbiaceae). Proc Natl Acad Sci U S A. 2003;100(9):5264–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Govaerts R, Frodin DG, Radcliffe-Smith A, Carter S. World checklist and bibliography of Euphorbiaceae (with Pandaceae). Kew: Royal Botanic Gardens; 2000.

  12. Kawakita A, Kato M. Obligate pollination mutualism in Breynia (Phyllanthaceae): further documentation of pollination mutualism involving Epicephala moths (Gracillariidae). Am J Bot. 2004;91:1319–25.

    Article  PubMed  Google Scholar 

  13. Kawakita A, Kato M. Evolution of obligate pollination mutualism in new Caledonian Phyllanthus (Euphorbiaceae). Am J Bot. 2004;91:410–5.

    Article  PubMed  Google Scholar 

  14. Kawakita A, Kato M. Repeated independent evolution of obligate pollination mutualism in the Phyllantheae-Epicephala association. Proc Biol Sci. 2009;276:417–26.

    Article  PubMed  Google Scholar 

  15. Ramirez B. Fig wasps: mechanism of pollen transfer. Science. 1969;163:580–1. https://doi.org/10.1126/science.163.3867.580.

    Article  Google Scholar 

  16. Proctor M, Yeo P, Lack A. The natural history of pollination. London: Harper Collins; 1996.

  17. Pellmyr O. Pollinating seed eaters: why is active pollination so rare? Ecology. 1997;78:1655–60 http://www.jstor.org/stable/2266090.

    Article  Google Scholar 

  18. Thompson JN. The coevolutionary process. Chicago: University of Chicago Press; 1994.

  19. Herre EA, Knowlton N, Mueller UG, Rehner SA. The evolution of mutualisms: exploring the paths between conflict and cooperation. Trends Ecol Evol. 1999;14:49–53. https://doi.org/10.1016/S0169-5347(98)01529-8.

    Article  CAS  PubMed  Google Scholar 

  20. Farrell B, Mitter C. Phylogenesis of insect/plant interactions: have Phyllobrotica leaf beetles (Chrysomelidae) and the Lamiales diversified in parallel? Evolution (N Y). 1990;44:1389–403. https://doi.org/10.1111/j.1558-5646.1990.tb03834.x.

    Article  Google Scholar 

  21. Weiblen GD, Bush GL. Speciation in fig pollinators and parasites. Mol Ecol. 2002;11:1573–8 http://www.ncbi.nlm.nih.gov/pubmed/12144676. Accessed 16 Oct 2017.

    Article  PubMed  Google Scholar 

  22. Ronsted N, Weiblen GD, Cook JM, Salamin N, Machado CA, Savolainen V, et al. 60 million years of co-divergence in the fig-wasp symbiosis. Proc R Soc London Ser B Biol Sci. 2005;272:2593–9. https://doi.org/10.1098/rspb.2005.3249.

    Article  Google Scholar 

  23. Cruaud A, Jabbour-Zahab R, Genson G, Cruaud C, Couloux A, Kjellberg F, et al. Laying the foundations for a new classification of Agaonidae (Hymenoptera: Chalcidoidae), a multi locus phylogenetic approach. Cladistics. 2009;26:359–87.

    PubMed  Google Scholar 

  24. Michaloud G, Carrière S, Kobbi M, Carriere S, Kobbi M. Exceptions to the one:one relationship between African fig trees and their fig wasp pollinators: possible evolutionary scenarios. J Biogeogr. 1996;23:513–20. https://doi.org/10.1111/j.1365-2699.1996.tb00013.x.

    Article  Google Scholar 

  25. Rasplus JY. The one-to-one species specificity of the Ficus-Agaoninae mutualism: how casual? In: The biodiversity of African Plants. Dordrecht: Springer Netherlands; 1996. p. 639–49. https://doi.org/10.1007/978-94-009-0285-5_78.

    Chapter  Google Scholar 

  26. Machado CA, Robbins N, Thomas M, Gilbert P, Herre EA. Critical review of host specificity and its coevolutionary implications in the fig/fig-wasp mutualism. http://www.pnas.org/content/102/suppl_1/6558.full.pdf. Accessed 19 May 2017.

  27. Haine ER, Martin J, Cook JM. Deep mtDNA divergences indicate cryptic species in a fig-pollinating wasp. BMC Evol Biol. 2006;6:83. https://doi.org/10.1186/1471-2148-6-83.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Erasmus JC, van Noort S, Jousselin E, Greeff JM. Molecular phylogeny of fig wasp pollinators (Agaonidae, Hymenoptera) of Ficus section Galoglychia. Zool Scr. 2007;36:61–78. https://doi.org/10.1111/j.1463-6409.2007.00259.x.

    Article  Google Scholar 

  29. McLeish MJ, van Noort S, Tolley KA. Parasitoid fig-wasp evolutionary diversification and variation in ecological opportunity. Mol Ecol. 2010;19:1483–96.

    Article  CAS  PubMed  Google Scholar 

  30. Hembry DH, Kawakita A, Gurr NE, Schmaedick MA, Baldwin BG, Gillespie RG. Non-congruent colonizations and diversification in a coevolving pollination mutualism on oceanic islands. Proc R Soc B Biol Sci. 2013;280:20130361. https://doi.org/10.1098/rspb.2013.0361.

    Article  Google Scholar 

  31. Cook JM, Segar ST. Speciation in fig wasps. Ecol Entomol. 2010;35:54–66. https://doi.org/10.1111/j.1365-2311.2009.01148.x.

    Article  Google Scholar 

  32. Darwell CT, Al-Beidh S, Cook JM. Molecular species delimitation of a symbiotic fig-pollinating wasp species complex reveals extreme deviation from reciprocal partner specificity. BMC Evol Biol. 2014;14:189. https://doi.org/10.1186/s12862-014-0189-9.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Pellmyr O, Segraves AKA. Pollinator divergence within an obligate mutualism: two yucca moth species (Lepidoptera; Prodoxidae: Tegeticula) on the Joshua tree (Yucca brevifolia; Agavaceae). Ann Entomol Soc Am. 2003;6:716–22.

    Article  Google Scholar 

  34. Zhang J, Wang S, Li H, Hu B, Yang X, Wang Z. Diffuse coevolution between two Epicephala species (Gracillariidae) and two Breynia species (Phyllanthaceae). PLoS One. 2012;7:e41657. https://doi.org/10.1371/journal.pone.0041657.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Darwell CT, Cook JM. Cryptic diversity in a fig wasp community-morphologically differentiated species are sympatric but cryptic species are parapatric. Mol Ecol. 2017;26:937–50. https://doi.org/10.1111/mec.13985.

    Article  CAS  PubMed  Google Scholar 

  36. Segraves KA, Pellmyr O. Phylogeography of the yucca moth Tegeticula maculata : the role of historical biogeography in reconciling high genetic structure with limited speciation. Mol Ecol. 2001;10:1247–53.

    Article  CAS  PubMed  Google Scholar 

  37. Kerdelhue C, Le Clainche I, Rasplus JY. Molecular phylogeny of the Ceratosolen species pollinating Ficus of the subgenus Sycomorus sensu stricto: biogeographical history and origins of the species-specificity breakdown cases. Mol Phylogenet Evol. 1999;11. https://doi.org/10.1006/mpev.1998.0590.

  38. Herre EA, Jandér KC, Machado CA. Evolutionary ecology of figs and their associates: recent Progress and outstanding puzzles. Annu Rev Ecol Evol Syst. 2008;39:439–58. https://doi.org/10.1146/annurev.ecolsys.37.091305.110232.

    Article  Google Scholar 

  39. Su Z-H, Iino H, Nakamura K, Serrato A, Oyama K. Breakdown of the one - to - one rule in Mexican fig - wasp associations inferred by molecular phylogenetic analysis. Symbiosis. 2008;45:73–81 https://www.cabdirect.org/cabdirect/abstract/20083084587. Accessed 9 June 2017.

  40. Luo SX, Yao G, Wang Z, Zhang D, Hembry DH. A novel, enigmatic basal leafflower moth lineage pollinating a derived leafflower host illustrates the dynamics of host shifts, partner replacement, and apparent coadaptation in intimate mutualisms. Am Nat. 2017;189:422–35. https://doi.org/10.1086/690623.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Ehrlich PR, Raven PH. Butterflies and plants: a study in coevolution. Evolution (N Y). 1964;18:586. https://doi.org/10.2307/2406212.

    Article  Google Scholar 

  42. Lopez-Vaamonde C, Godfray HCJ, Cook JM. Evolutionary dynamics of host-plant use in a genus of leaf-mining moths. Evolution (N Y). 2003;57. https://doi.org/10.1111/j.0014-3820.2003.tb00588.x.

  43. Mullen SP. Wing pattern evolution and the origins of mimicry among north American admiral butterflies (Nymphalidae: Limenitis). Mol Phylogenet Evol. 2006;39:747–58. https://doi.org/10.1016/j.ympev.2006.01.021.

    Article  CAS  PubMed  Google Scholar 

  44. Kawahara AY, Plotkin D, Oshima I, Lopez-vaamonde C, Houlihan PR, Breinholt JW, et al. A molecular phylogeny and revised higher-level classification for the leaf-mining moth family Gracillariidae and its implications for larval host-use evolution. Syst Entomol. 2017;42:60–81. https://doi.org/10.1111/syen.12210.

    Article  Google Scholar 

  45. Thompson JN. The geographic mosaic of coevolution. Chicago: University of Chicago Press; 2005.

  46. Kawakita A, Okamoto T, Goto R, Kato M. Mutualism favours higher host specificity than does antagonism in plant-herbivore interaction. Proceedings Biol Sci. 2010;277:2765–74. https://doi.org/10.1098/rspb.2010.0355.

    Article  Google Scholar 

  47. Hembry DH, Okamoto T, Gillespie RG. Repeated colonization of remote islands by specialized mutualists. Biol Lett. 2012;8:258–61. https://doi.org/10.1098/rsbl.2011.0771.

    Article  PubMed  Google Scholar 

  48. Price PW. Evolutionary biology of parasites. Monogr Popul Biol. 1980;15:1–237 http://www.ncbi.nlm.nih.gov/pubmed/6993919. Accessed 30 May 2018.

    CAS  PubMed  Google Scholar 

  49. Pellmyr O, Balcázar-Lara M, Althoff DM, Segraves KA, Leebens-Mack J. Phylogeny and life history evolution of Prodoxus yucca moths (Lepidoptera: Prodoxidae). Syst Entomol. 2005;31:1–20. https://doi.org/10.1111/j.1365-3113.2005.00301.x.

    Article  Google Scholar 

  50. Bronstein JL. The costs of mutualism. Am Zool. 2001;41:825–39.

    Google Scholar 

  51. Sachs JL, Simms EL. Pathways to mutualism breakdown. Trends Ecol Evol. 2006;21:585–92. https://doi.org/10.1016/J.TREE.2006.06.018.

    Article  PubMed  Google Scholar 

  52. Kawakita A, Takimura A, Terachi T, Sota T, Kato M. Cospeciation analysis of an obligate pollination mutualism: have glochidion trees (Euphorbiaceae ) and pollinating Epicephala moths (Gracillariidae ) diversified in parallel? Evolution. 2004;58:2201–14.

    CAS  PubMed  Google Scholar 

  53. Royal Botanic Gardens K. World Checklist of Selected Plant Families (WCSP). 2018. http://wcsp.science.kew.org/qsearch.do. Accessed 11 Oct 2017.

    Google Scholar 

  54. Kawakita A, Kato M. Revision of the Japanese species of Epicephala Meyrick with descriptions of seven new species (Lepidoptera, Gracillariidae). Zookeys. 2016:87–118. https://doi.org/10.3897/zookeys.568.6721.

  55. Walsh S, Metzger D, Higuchi R. Chelex 100 as a medium for simple extraction of DNA for PCR-based typing from forensic material. BioTechniques. 1991;10:134–9 https://www.ncbi.nlm.nih.gov/pubmed/1867860. Accessed 17 Sept 2017.

  56. Gutzwiller F, Dedeine F, Kaiser W, Giron D, Lopez-Vaamonde C. Correlation between the green-island phenotype and Wolbachia infections during the evolutionary diversification of Gracillariidae leaf-mining moths. Ecol Evol. 2015;5:4049–62. https://doi.org/10.1002/ece3.1580.

    Article  PubMed  PubMed Central  Google Scholar 

  57. Wickham H. ggplot2: elegant graphics for data analysis. New York: Springer-Verlag; 2009. http://ggplot2.org.

    Book  Google Scholar 

  58. Bivand R, Keitt T, Rowlingson B, Pebesma E, Sumner M, Hijmans R, et al. rgdal. 2017. https://cran.r-project.org/web/packages/rgdal/index.html. Accessed 25 Oct 2017.

    Google Scholar 

  59. RStudio Team. RStudio: integrated development for R. 2016. http://www.r-project.org/.

    Google Scholar 

  60. Brown S, Collins R, Boyer S, Lefort, Marie-Caroline Malumbres-Olarte J, Vink C, Cruickshank R. SPIDER: an R package for the analysis of species identity and evolution, with particular reference to DNA barcoding. Mol Ecol Resour. 2012;12:562–5.

    Article  PubMed  Google Scholar 

  61. Paradis E, Claude J, Strimmer K. APE: analyses of phylogenetics and evolution in R language. Bioinformatics. 2004;20:289–90.

    Article  CAS  PubMed  Google Scholar 

  62. Kawakita A, Kato M. Assessment of the diversity and species specificity of the mutualistic association between Epicephala moths and Glochidion trees. Mol Ecol. 2006;15:3567–81.

    Article  CAS  PubMed  Google Scholar 

  63. Lanfear R, Frandsen PB, Wright AM, Senfeld T, Calcott B. PartitionFinder 2: new methods for selecting partitioned models of evolution for molecular and morphological phylogenetic analyses. Mol Biol Evol. 2016;34:msw260. https://doi.org/10.1093/molbev/msw260.

    Article  CAS  Google Scholar 

  64. Bofkin L, Goldman N. Variation in evolutionary processes at different codon positions. Mol Biol Evol. 2006;24:513–21. https://doi.org/10.1093/molbev/msl178.

    Article  CAS  PubMed  Google Scholar 

  65. Shapiro B, Rambaut A, Drummond AJ. Choosing appropriate substitution models for the phylogenetic analysis of protein-coding sequences. Mol Biol Evol. 2006;23:7–9. https://doi.org/10.1093/molbev/msj021.

    Article  CAS  PubMed  Google Scholar 

  66. Ho SYW, Lanfear R. Improved characterisation of among-lineage rate variation in cetacean mitogenomes using codon-partitioned relaxed clocks. Mitochondrial DNA. 2010;21:138–46. https://doi.org/10.3109/19401736.2010.494727.

    Article  CAS  PubMed  Google Scholar 

  67. Beast Development Team. BEAST. 2017. http://tree.bio.ed.ac.uk/software/.

    Google Scholar 

  68. Tierney SM, Sanjur O, Grajales GG, Santos LM, Bermingham E, Wcislo WT. Photic niche invasions: phylogenetic history of the dim-light foraging augochlorine bees (Halictidae). Proceedings Biol Sci. 2012;279:794–803. https://doi.org/10.1098/rspb.2011.1355.

    Article  Google Scholar 

  69. Rambaut A, Suchard MA, Xie W, Drummond A. Tracer: MCMC Trace Analysis Tool. 2017. http://tree.bio.ed.ac.uk/software/.

    Google Scholar 

  70. Fujisawa T, Barraclough TG. Delimiting species using single-locus data and the generalized mixed yule coalescent approach: a revised method and evaluation on simulated data sets. Syst Biol. 2013;62:707–24. https://doi.org/10.1093/sysbio/syt033.

    Article  PubMed  PubMed Central  Google Scholar 

  71. Ezard T, Fujisawa T, Barraclough T. Splits: species limits by threshold. Statistics. 2017; https://r-forge.r-project.org/projects/splits/.

  72. Zhang J, Kapli P, Pavlidis P, Stamatakis A. A general species delimitation method with applications to phylogenetic placements. Bioinformatics. 2013;29:2869–76. https://doi.org/10.1093/bioinformatics/btt499.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  73. Bergsten J, Nilsson AN, Ronquist F. Bayesian tests of topology hypotheses with an example from diving beetles. Syst Biol. 2013;62:660–73. https://doi.org/10.1093/sysbio/syt029.

    Article  PubMed  PubMed Central  Google Scholar 

  74. Drummond AJ, Rambaut A. Bayesian evolutionary analysis by sampling trees. In: Lemey P, Salemi M, Vandamme A-M, editors. The phylogenetic handbook: a practical approach to phylogenetic analysis and hypothesis testing. Cambridge: Cambridge University Press; 2009. p. 564–75.

    Chapter  Google Scholar 

  75. Finch J. Epicephala night observations Breynia oblongifolia.Csv. figshare; 2018.

    Google Scholar 

  76. Meyer CP, Paulay G. DNA barcoding: error rates based on comprehensive sampling. PLoS Biol. 2005;3:e422. https://doi.org/10.1371/journal.pbio.0030422.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  77. Hebert PDN, DeWaard JR, Zakharov EV, Prosser SWJ, Sones JE, McKeown JTA, et al. A DNA ‘barcode blitz’: rapid digitization and sequencing of a natural history collection. PLoS One. 2013;8:e68535. https://doi.org/10.1371/journal.pone.0068535.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  78. Kass RE, Raftery AE. Bayes factors. J Am Stat Assoc. 1995;90:773. https://doi.org/10.2307/2291091.

    Article  Google Scholar 

  79. Wiebes T. Co-evoltion. Ann Rev EcoL Syst. 1979;10:1–12.

    Article  Google Scholar 

  80. Pellmyr O, Leebens-Mack J, Huth CJ. Non-mutualistic yucca moths and their evolutionary consequences. Nature. 1996;380:155. https://doi.org/10.1038/380155a0.

    Article  CAS  PubMed  Google Scholar 

  81. Gilligan TM, Baixeras J, Brown JW, Tuck K.R. T@RTS: online world catalogue of the Tortricidae (Ver. 30). 2014. http://www.tortricidae.com/catalogue.asp. Accessed 15 May 2018.

    Google Scholar 

  82. Horak M, Komai F. Olethreutine moths of Australia: (Lepidoptera: Tortricidae). Clayton: CSIRO; 2006. https://www.publish.csiro.au/book/5147/. Accessed 15 May 2018

  83. Food plant database of the leafrollers of the world (Lepidoptera: Tortricidae). http://www.tortricidae.com/foodplant_database.pdf. Accessed 15 May 2018.

  84. Australian Tropical Rainforest Plants. 2010. http://keys.trin.org.au/key-server/data/0e0f0504-0103-430d-8004-060d07080d04/media/Html/index.html. Accessed 15 May 2018.

  85. Li H, Yang X. Three new species of Epicephala Meyrick (Lepidoptera, Gracillariidae) associated with Phyllanthus microcarpus (Benth.) (Phyllanthaceae). Zookeys. 2015;484:71–81. https://doi.org/10.3897/zookeys.484.8696.

    Article  Google Scholar 

  86. Li H, Wang Z, Hu B. Four new species of Epicephala Meyrick, 1880 (Lepidoptera, Gracillariidae) associated with two species of Glochidion (Phyllanthaceae) from Hainan Island in China. Zookeys. 2015;508:53–67. https://doi.org/10.3897/zookeys.508.9479.

    Article  Google Scholar 

  87. Masly JP. 170 years of “lock-and-key”: genital morphology and reproductive isolation. Int J Evol Biol. 2012;2012:247352. https://doi.org/10.1155/2012/247352.

    Article  PubMed  Google Scholar 

  88. Parker GA. Sperm competition and its evolutionary consequences in the insects. Biol Rev. 1970;45:525–67. https://doi.org/10.1111/j.1469-185X.1970.tb01176.x.

    Article  Google Scholar 

  89. Smith RL. Sperm competition and the evolution of animal mating systems. London: Academic Press; 1984. https://www.elsevier.com/books/sperm-competition-and-the-evolution-of-animal-mating-systems/smith/978-0-12-652570-0. Accessed 10 Apr 2018.

  90. Reinhardt K, Anthes N, Lange R. Copulatory wounding and traumatic insemination. Cold Spring Harb Perspect Biol. 2015;7. https://doi.org/10.1101/cshperspect.a017582.

  91. Michaloud G, Michaloud-Pelletier S, Wiebes JT, Berg CC. The co-occurrence of 2 pollinating species of fig wasp and one species of fig. Proc K Ned Akad Van Wet Ser C-Biological Med Sci. 1985;88(1):93–119.

    Google Scholar 

  92. Cook JM, Rokas A, Pagel M, Stone GN. Evolutionary shifts between host oak sections and host-plant organs in Andricus gallwasps. Evolution (N Y). 2002;56:1821–30. https://doi.org/10.1111/j.0014-3820.2002.tb00196.x.

    Article  Google Scholar 

  93. Sale PF. Coexistence of coral reef fishes? A lottery for living space. Environ Biol Fish. 1978;3:85–102. https://doi.org/10.1007/BF00006310.

    Article  Google Scholar 

  94. Munday PL. Competitive coexistence of coral-dwelling fishes: the lottery hypothesis revisited. Ecology. 2004;85:623–8.

    Article  Google Scholar 

  95. Chesson PL, Warner RR. Environmental variability promotes coexistence in lottery competitive systems. Am Nat. 1981;117:923–43. https://doi.org/10.1086/283778.

    Article  Google Scholar 

  96. Yu DW, Wilson HB, Pierce NE. An empirical model of species coexistence in a spatially structured environment. Ecology. 2001;82:1761–71. https://doi.org/10.2307/2679816.

    Article  Google Scholar 

  97. Johnson LK, Hubbell SP. Contrasting foraging strategies and coexistence of two bee species on a single resource. Ecology. 1975;56:1398–406. https://doi.org/10.2307/1934706.

    Article  Google Scholar 

  98. Yu DW, Wilson HB. The competition-colonization trade-off is dead; long live the competition-colonization trade-off. Am Nat. 2001;158:49–63. https://doi.org/10.1086/320865.

    Article  CAS  PubMed  Google Scholar 

  99. Herre EA. Laws governing species interactions? Encouragement and caution from Figs and their associates. In: Keller L, editor. Levels of selection in evolution. New Jersey: Princeton University Press; 1999. p. 209–37. https://press.princeton.edu/titles/6703.html. Accessed 25 Oct 2017.

  100. Marr DL, Pellmyr O. Effect of pollinator-inflicted ovule damage on floral abscission in the yucca-yucca moth mutualism: the role of mechanical and chemical factors. Oecologia. 2003;136:236–43. https://doi.org/10.1007/s00442-003-1279-3.

    Article  PubMed  Google Scholar 

  101. Wilson RD, Addicott JF. Regulation of mutualism between yuccas and yucca moths: is oviposition behavior responsive to selective abscission of flowers? Oikos. 1998;81:109. https://doi.org/10.2307/3546473.

    Article  Google Scholar 

  102. Goto R, Okamoto T, Kiers ET, Kawakita A, Kato M, Toby Kiers E, et al. Selective flower abortion maintains moth cooperation in a newly discovered pollination mutualism. Ecol Lett. 2010;13:321–9. https://doi.org/10.1111/j.1461-0248.2009.01425.x.

    Article  PubMed  Google Scholar 

  103. Kjellberg F, Jousselin E, Bronstein JL, Patel A, Yokoyama J, Rasplus JY. Pollination mode in fig wasps: the predictive power of correlated traits. Proc R Soc L Ser B-Biol Sci. 2001;268:1113–21. https://doi.org/10.1098/rspb.2001.1633.

    Article  CAS  Google Scholar 

  104. Jousselin E, Rasplus J-Y, Kjellberg F. Convergence and coevolution in a mutualism: evidence from a molecular phylogeny of Ficus. Evolution (N Y). 2003;57:1255–69. https://doi.org/10.2307/3448849.

    Article  Google Scholar 

  105. Molbo D, Machado CA, Herre EA, Keller L. Inbreeding and population structure in two pairs of cryptic fig wasp species. Mol Ecol. 2004;13. https://doi.org/10.1111/j.1365-294X.2004.02158.x.

  106. Kawakita A, Mochizuki K, Kato M. Reversal of mutualism in a leafflower–leafflower moth association: the possible driving role of a third-party partner. Biol J Linn Soc. 2015;116:507–18.

    Article  Google Scholar 

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Acknowledgements

We thank Marcus Klein for his technical assistance and advice on molecular biology; Giles Ross, Laura Brettell, Nicola Hanrahan and Robert Mueller for their assistance in field sampling. We owe a great thanks to Andreas Zwick at the Australian National Insect Collection (CSIRO, Canberra) for providing training, expertise and assistance in performing the genital dissections, slide preparation and imaging. We thank Richard Wuhrer, Laurel George and other staff at the Advanced Materials Characterization Facility (AMCF) at Western Sydney University for their training and assistance in the use of scanning election microscopy. We also wish to thank Simon Tierney, Olivia Bernauer and Laura Brettell for their comments on the manuscript. Finally, we wish to thank to the technical, management and academic staff at the EucFACE facility at Western Sydney University for facilitating and aiding fieldwork at the site. EucFACE is supported by the Australian Commonwealth Government in collaboration with Western Sydney University. EucFACE was built as an initiative of the Australian Government as part of the Nation-building Economic Stimulus Package.

Funding

JF thanks Western Sydney University for an International PhD Scholarship that covered student fees, research consumables and a maintenance stipend.

Availability of data and materials

The datasets supporting the conclusions of this article are available in the figshare and GenBank® repositories: https://doi.org/10.6084/m9.figshare.6651062.v1 and GenBank® (Accession numbers: MH480583-MH480602 and MH544582-MH544609).

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JF acquired the funding, designed the study, collected the data, analyzed the results and wrote the manuscript. SP designed the study and reviewed the manuscript. JW designed the study and reviewed the manuscript. JC acquired the funding, designed the study and wrote the manuscript. All authors read and approved the final manuscript.

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Correspondence to J. T. D. Finch.

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Additional file

Additional file 1:

Neighbor-joining consensus tree of 135 Epicephala COI sequence subunits aligned to the only other Epicephala species previously sampled from Breynia oblongifolia; Epicephala sp. ex. Breynia oblongifolia (NCBI: FJ235381.1) [14]. Branch labels show percentage consensus support after 200 bootstrap replicates. (PDF 218 kb)

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Finch, J.T.D., Power, S.A., Welbergen, J.A. et al. Two’s company, three’s a crowd: co-occurring pollinators and parasite species in Breynia oblongifolia (Phyllanthaceae). BMC Evol Biol 18, 193 (2018). https://doi.org/10.1186/s12862-018-1314-y

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