Summary
Interactions between mutualists, competitors, and antagonists have contrasting ecological effects that, sustained over generations, can influence micro‐ and macroevolution. Dissimilar benefits and costs for these interactions should cause contrasting co‐diversification patterns between interacting clades, with prevalent co‐speciation by mutualists, association loss by competitors, and host switching by antagonists.
We assessed these expectations for a local assemblage of 26 fig species (Moraceae: Ficus), 26 species of mutualistic (pollinating), and 33 species of parasitic (galling) wasps (Chalcidoidea). Using newly acquired gene sequences, we inferred the phylogenies for all three clades. We then compared the three possible pairs of phylogenies to assess phylogenetic congruence and the relative frequencies of co‐speciation, association duplication, switching, and loss.
The paired phylogenies of pollinators with their mutualists and competitors were significantly congruent, unlike that of figs and their parasites. The distributions of macroevolutionary events largely agreed with expectations for mutualists and antagonists. By contrast, that for competitors involved relatively frequent association switching, as expected, but also unexpectedly frequent co‐speciation. The latter result likely reflects the heterogeneous nature of competition among fig wasps.
These results illustrate the influence of different interspecific interactions on co‐diversification, while also revealing its dependence on specific characteristics of those interactions.
Keywords: co‐diversification, competition, co‐speciation, fig, fig wasp, host switching, mutualism, parasitism
Introduction
Pairs of species can interact in manners that are mutually beneficial (mutualism), mutually detrimental (competition), or beneficial to one partner but detrimental to the other (antagonism: predation, herbivory, parasitism). If these interactions occur frequently and significantly influence individual performance, then mutualism, competition and antagonism should promote contrasting evolutionary responses (Yoder & Nuismer, 2010; Hembry et al., 2014; Barraclough, 2015; Nuismer & Harmon, 2015; Manceau et al., 2017). For mutualism, benefits to both partners favour increased interaction frequency and efficiency, establishing interspecific coalitions (Cafaro & Currie, 2005). If one or both mutualistic partners become particularly specialized in their interaction, their phylogenies could become enmeshed (e.g. Currie et al., 2003), as speciation of one partner precipitates co‐speciation by the other. Co‐speciation is especially likely if mutualistic interaction benefits reproduction by one or both partners, increasing reproductive isolation within partner lineages (Hembry et al., 2014; e.g. pollination systems: Silvieus et al., 2008; Althoff et al., 2014; van der Niet et al., 2014).
By contrast, negative interactions among competitors in the same or different clades favour dissociation (Mahler et al., 2010; Yoder & Nuismer, 2010; Barraclough, 2015; Nuismer & Harmon, 2015). Whether coexistence and dissociation are ecologically and evolutionarily feasible depends on the availability of alternative resources, the possibility of using common resources differently, and competition symmetry (Mahler et al., 2010; Burns & Strauss, 2011). If competition is symmetrical (e.g. equal access to limiting resources and no direct interference) and alternatives are available, adaptation by one partner that reduces interaction frequency or intensity benefits both partners and so may not induce any evolutionary response by the second partner. Thus, the phylogenies of clades of symmetrically competing species should be less congruent than those of mutualists. If, instead, competition is asymmetrical, with one partner dominating consistently, evolutionary repulsion should promote dissolution, or loss, of competitive interactions, with speciation occurring largely independently in paired lineages that include some competitors (Yoder & Nuismer, 2010).
Finally, interactions that involve host and antagonist partners, like predation, herbivory, or parasitism, promote a third set of possible evolutionary responses (Nyman, 2010; Yoder & Nuismer, 2010; Barraclough, 2015; Maron et al., 2019). Such interactions are generally viewed as promoting arms races, whereby evolution of new host defences favours evolution of new antagonist weapons, prompting new host defences, and so on (Janz, 2011; Marquis et al., 2016). According to this scenario, co‐speciation should be common in the co‐phylogenies of hosts and antagonists. However, interactions between specialized antagonists, such as parasites or insect herbivores, may foster a different pattern if hosts combat diverse antagonistic species with a battery of defences. Although interactions with individual antagonist species may select for host defences, in the context of the general battle that hosts wage against all antagonists, individual interactions may have little influence on speciation (Yoder & Nuismer, 2010). By contrast, a targeted host response to a specialized antagonist could increase the advantages of switching to an alternative host species (Silvieus et al., 2008), which in turn could foster antagonist speciation (Jermy, 1984; Janz, 2011; Hardy & Otto, 2014).
These considerations foster the expectation that specific types of interspecific interactions generate contrasting co‐phylogenetic patterns (Yoder & Nuismer, 2010; Hembry et al., 2014), although this expectation has seldom been assessed directly. Instead, co‐phylogenetic methods are generally used to examine specific interactions; for example, antagonism (Nyman, 2010), mutualism (Cruaud et al., 2012), and competition (Sweet et al., 2016). The results of such studies often support expectations (e.g. Nyman, 2010; Cruaud et al., 2012; Sweet et al., 2016; Navaud et al., 2018), but whether the relative frequencies of different types of macroevolutionary events (co‐speciation, association switching, association loss) differ between all three interaction types in similar conditions remains largely unexamined.
Animal pollination creates an economic system in which all these interactions play out. This system is founded on mutualistic exchange of floral resources by immobile plants for pollen dispersal by mobile animals. Plant–pollinator mutualism also creates opportunities for antagonistic animals to consume floral resources without pollinating (Pellmyr et al., 1996; Hargreaves et al., 2009; Irwin et al., 2010; Borges, 2015) and for antagonistic plants to attract pollinators without rewarding them (Johnson & Schiestl, 2016). Because mutualists and antagonists on the same trophic level vie for the same benefits, they can also interact competitively (Internicola et al., 2006; Hazlehurst & Karubian, 2018). Thus, the interactions associated with animal–pollination systems encompass mutualism, competition, and antagonism, and so should be associated with the different macroevolutionary patterns already described. However, the strength of such patterns likely varies, being more evident for specialized associations than for diffuse, generalized interactions.
The specialized inflorescences (syconia) of the c. 750 species of figs (Ficus, Moraceae) are microcosms of interspecific interactions with a > 60 Myr macroevolutionary history (Herre et al., 2008; Silvieus et al., 2008; Compton et al., 2010; Segar et al., 2013). A syconium is an infolded receptacle that encloses 50–7000 tiny, unisexual flowers, which can be accessed directly only by a small apical pore (Verkerke, 1989). Each fig species usually depends on a single highly specialized pollinating wasp species (Hymenoptera, Chalcidoidea, Agaonidae; Herre et al., 2008) to disperse its pollen. In addition to pollinating, these wasps lay their eggs in the ovaries of some pollinated fig flowers, inducing gall formation by the endosperm, which the resulting larvae consume as they develop into the next adult generation (Weiblen, 2002; Jansen‐González et al., 2012). As pollinating wasp species generally rely on a single fig species (Cook & Segar, 2010; Yang et al., 2015), pairs of fig and pollinating‐wasp species engage in highly specialized mutualisms (Fig. 1). Many fig species also host a diverse group of nonpollinating (galling) wasp species (Rasplus et al., 1998; Weiblen, 2002) that represent several independent origins of fig parasitism (Heraty et al., 2013). These species belong to different chalcid families (Pteromalidae, Eurytomidae, Ormyridae, Torymidae) or subfamilies (Sycophaginae, Tetrapusiinae) than the pollinating species (Heraty et al., 2013). Galling species oviposit before or simultaneously with pollinating species and induce galls in the nucellus of unfertilized ovules, on which their larvae feed. Other species oviposit into developing galls, usurping gall tissue from the resident larvae (kleptoparasites), or into ovaries with maturing seeds (seed predators). These parasitic wasps rely on figs to reproduce, but provide no benefit to figs (Pereira & do Parado, 2005; Marussich & Machado, 2007) and so act as antagonists (Fig. 1). Many parasitic wasp species resemble pollinating species with respect to oviposition sites and resource demands and may mimic pollinating wasps, limiting possibilities for the evolution of effective fig defences (Bronstein, 1991). Furthermore, because both mutualistic pollinating and parasitic wasp species require the same resource for reproduction (fig ovules), they can compete with each other (West et al., 1996; Raja et al., 2015). The nature of competition likely varies depending on the fauna of parasitic wasps, their relative timing of oviposition, dependence on fertilized ovules, and so on (Segar et al., 2013). When pollinating and galling wasps oviposit concurrently, pollinating wasps may be superior competitors, as they are generally more abundant (Segar et al., 2013). Thus, all three classes of interspecific interactions can occur within a single fig syconium, providing a singular opportunity to compare the co‐phylogenetic relationships associated with mutualism, competition, and parasitism (Silvieus et al., 2008).
In addition to the expectations already outlined, some evidence suggests that relationships involving galling wasps may differ, depending on whether the fig species is monoecious or (functionally) dioecious. Ficus is ancestrally monoecious, but dioecy has evolved independently at least twice (Herre et al., 2008). Owing to differences between monoecious and dioecious fig species in oviposition opportunities for galling wasps, dioecious species generally support fewer galling wasp species and individuals (Kerdelhué & Rasplus, 1996a; Weiblen et al., 2001). Thus, pollinators of dioecious species should experience less competition with galling wasps than pollinators of monoecious species do. Consequently, interactions with the host fig species may play a stronger role in the micro‐ and macroevolution of the pollinators of dioecious figs. In keeping with this possibility, a study of relatively infrequent cases of two pollinator species using the same fig species found that all pollinator pairs were sister species for dioecious fig species, whereas this was true for only a third of cases involving monoecious fig species (Yang et al., 2015).
Here, we compare the co‐phylogenies of a local sample of figs and pollinating and galling wasps to assess whether their co‐diversification patterns differ, as expected from their contrasting interactions. Our sample involves 26 native fig species and their associated wasps from the tropical rainforest at Xishuangbanna, China. Using phylogenies for these species based on newly derived gene sequences, we test whether the overall co‐phylogenetic congruence and relative frequencies of inferred co‐speciation, association duplication, switching, and loss differ for the three pairs of interaction partners. The latter results are compared with the expectations we outlined earlier for macroevolutionary consequences of mutualism, competition, and antagonism. We also assess whether fig–pollinator co‐diversification differs between monoecious and dioecious fig species. By comparing the relative frequencies of different macroevolutionary events for clades that engage in different interaction types, our analysis alleviates several potential problems associated with inferring the macroevolutionary consequences of ecological interactions (see Potential study limitations section).
Materials and Methods
Species sampling and DNA sequencing
Phylogenetic analysis was based on gene sequences of DNA extracted from fig leaves and wasps collected in the tropical rainforest at Xishuangbanna, China (21°41′N, 101°25′E). Sampling involved 13 monoecious and 13 dioecious fig species with various growth habits that belong to five subgenera (Supporting Information Tables S1, S2). The local flora includes seven additional common fig species, but they are not included because of gene amplification failure. Leaves of one individual were collected for each fig species during November or December 2014 (Tables S1, S2) and dried with silica gel. We later extracted total genomic DNA from 20–30 mg of dried leaf material using the Plant DNA Kit DP305 (Tiangen, Beijing, China). Three nuclear genes, ITS, ETS, and G3pdh (glyceraldehydes 3‐phosphate dehydrogenase) and one chloroplast gene trnL‐F (intergenic spacer between the 3′ exon of trnL and trnF) were sequenced to reconstruct the Ficus phylogeny (Table S2). Castilla elastica (Moraceae, Castilleae) was included as an outgroup (Rønsted, 2005), using gene sequences obtained from GenBank (Table S2; Notes S1).
The 236 wasps considered in this study were collected from the same rainforest from 2008 to 2018 and belong to 28 primarily pollinating species (Agaonidae: 16 Agaoninae, 12 Kradibiinae) and 33 parasitic species (30 Pteromalidae; 3 Agaonidae, Sycophaginae: Tables S1, S3). Wasps were captured as they emerged from at least 10 figs per tree, which had been placed in individual mesh bags. These figs were collected before anthers began maturing (D‐phase; Galil & Eisikowitch, 1968; Patel, 1996). For locally abundant fig species (eight monoecious, eight dioecious; see Table S1), wasps were sampled from five or six trees, whereas for less abundant species (five monoecious and five dioecious; Table S1) wasp sampling involved three to five trees. Upon emergence, wasps were sorted to genus based on morphology. Then, 1–10 individuals were randomly collected for each species and stored in 95% ethanol at −20°C. The sample of Agaonid wasps included two species that have been identified as likely parasitic cheaters, rather than mutualistic pollinators (Eupristina sp. 1 from Ficus altissima, Eupristina sp. 3 from Ficus microcarpa; Peng et al., 2008; Y. Q. Peng, unpublished). These species have reduced structures for carrying pollen, and most figs entered by single females produce no seeds or galls, but many offspring wasps. We retained these species in the phylogenetic analysis to illustrate their relationships, but we excluded them from the co‐phylogenetic analyses because they are not mutualists and are distantly related to and functionally different from the other parasitic wasp species. All other parasitic wasp species produce flower galls on which their larvae feed (Kerdelhué et al., 2000; Compton et al., 2018; Y. Q. Peng, unpublished), so we refer to them as galling wasps. Unlike the pollinating wasps, the galling species lay eggs in ovules from outside syconia using elongate ovipositors (Kerdelhué et al., 2000). Two species from Ficus curtipes, Diaziella yangi and Lipothymus sp., were previously considered to be parasitic gallers (Xu et al., 2005; Zhang et al., 2008) but have since been recognized as secondary gallers that stimulate galls generated by pollinators (Chen et al., 2013). We treated these species as parasitic gallers in the analyses reported here, but results do not differ qualitatively if they are excluded (see Figs S1, S2). We compared whether the presence of galling wasp species differed among monoecious and dioecious Ficus species with Fisher's exact test.
To reconstruct the phylogenies of the pollinating and galling wasps, we extracted the entire genomic DNA from all 236 wasps and sequenced the nuclear ribosomal genes 18S rRNA (variable regions V3–V5) and 28S rRNA (D4–D5 expansion regions) and the mitochondrial cytochrome c oxidase subunit I. DNA was extracted using the E.N.Z.A.® Insect DNA Kit (Omega Bio‐tek, Norcross, GA, USA). Outgroup representatives for the wasp phylogenies included four species of the superfamily Chalcidoidea (Sycophaga, Ficomila, Megastigmus, and Trichogramma) for the pollinating wasp phylogeny (Cruaud et al., 2012) and three species of Agaonidae (Ceratosolen fusciceps, Ceratosolen gravelyi, and Ceratosolen emarginatus) for the galling wasp phylogeny. Gene sequences for the outgroup species and six species of pollinating wasps were obtained from GenBank (see Table S3).
Gene sequencing for the focal fig and wasp species employed largely the same methods. Gene amplification involved procedures described by Baraket et al. (2010) for trnL‐F and by Cruaud et al. (2012) for all other genes. Amplification products were sequenced directly using the ABI Prism BigDye® Terminator v.3.1 Ready Reaction Cycle Sequencing Kit (Applied Biosystems, Foster City, CA, USA). For some nuclear genes of some figs, direct sequencing produced polymorphic reads. In these cases, we cloned the amplification products with JM109 cells using the pGEM®‐T Vector System (Promega, Madison, WI, USA) and sequenced five colonies using M13 forward and reverse primers. Then we used degenerate bases to represent polymorphic base sites. All gene sequences have been deposited in GenBank (see Tables S2, S3).
Phylogeny reconstruction
Using the gene sequences, we inferred separate phylogenies for Ficus, pollinating wasps, and galling wasps with common methods. Gene sequences were aligned using clustalW in bioedit v.7.2.3 (Hall, 1999). Bayesian inference was conducted with starbeast (*beast), which can infer a shared species tree from multiple gene loci and multiple individuals per species using the multispecies coalescent model (Heled & Drummond, 2010; Bouckaert et al., 2014). The best‐fitting substitution model for each gene was selected with jmodeltest (Darriba et al., 2012) using the Akaike information criterion. We used the most parameterized model available in starbeast for each partition. Markov chain Monte Carlo analyses involved 100 million generations for figs and pollinating wasps and 10 million generations for galling wasps, both of which allowed chain convergence. We regarded the first 25% of generations as burn‐in iterations, so only trees collected during subsequent generations were used to estimate the posterior probability with treeannotator (Bouckaert et al., 2014). Details of the phylogenetic results for Ficus and pollinating and galling wasps are summarized in Note S1 and Fig. S3.
Co‐phylogenetic analyses
The extent and nature of co‐diversification of unrelated clades can be assessed based on either of two assumptions concerning the coordination of speciation, as inferred from the clade phylogenies. Contingent divergence occurs when speciation in an ‘antecedent’ clade precedes and precipitates speciation in a ‘reactive’ clade, which we denote as ‘reactive|antecedent’ (read reactive given antecedent). Thus, to assess contingent congruence, the phylogeny of the putative antecedent clade serves as the reference topology to which the phylogeny of the putative reactive clade is compared. By contrast, with independent divergence, speciation in either clade can precede speciation in the other clade, depending on circumstance. We used two approaches that incorporate these perspectives to characterize, quantify, and compare the co‐divergence of Ficus, pollinating wasps, and galling wasps: a Procrustean approach to infer co‐phylogenetic concordance (implemented in the R package paco 0.4.1; Balbuena et al., 2013), and a parsimony‐based approach for co‐phylogeny reconstruction (implemented in jane 4; Conow et al., 2010).
PAco assesses the overall topological similarity (congruence) of the phylogenies of two unrelated clades (X and Y), based on either the contingency or independence assumption (Balbuena et al., 2013; Hutchinson et al., 2017a). Overall congruence is measured inversely by the residual sum of squared differences between the two phylogenies (, where small indicates extensive congruence). Correspondingly, the squared residual for the specific association of species y with species x, , represents its contribution to . The statistical significance of is assessed with a randomization test of the null expectation that taxa in the two clades associate randomly. We conducted PAco with the paco (v.0.3.2; Hutchinson et al., 2017a) and ape (v.5.2; Paradis et al., 2004) packages in R version 3.5.2 (R Core Team, 2018). Distances between species within a clade were measured based on the sum of their connecting branch lengths along the inferred phylogeny. Congruence was tested based on 1000 random permutations. To assess congruence for Ficus and mutualistic pollinating wasp we assumed independent divergence, reflecting their mutual dependence. By contrast, for Ficus and parasitic galling wasps we assumed contingent co‐divergence with galling wasps as the reactive clade, given their unilateral dependence on figs. As the nature of competition between pollinating and galling wasps is uncertain, we conducted three analyses that allowed independent divergence (symmetrical competition) or contingent co‐divergence (asymmetrical competition) with pollinators as either antecedent or reactive.
jane estimates the frequencies of different types of macroevolutionary events based on contingent co‐divergence. The events assessed by jane include the following: co‐speciation – speciation occurs concurrently in the reference and comparator clades; duplication – speciation in the comparator clade occurs without speciation in the reference clade and both new comparator species remain associated with the ancestral reference species; association switching – like duplication, except that one new comparator species establishes a novel association with a species on a different branch of the reference phylogeny; association loss – speciation occurs in only the reference clade and the existing comparator species associates with only one new reference species (or sampling error); and failure to diverge – speciation occurs in only the reference clade and the existing comparator species associates with both new reference species. Given the ‘known’ historical relationships (phylogenies) of extant species in the reference and comparator clades and their known contemporary associations, inference of the historical co‐phylogenetic relationships involves two steps (Conow et al., 2010). During the first step, a genetic algorithm identifies which ‘population’ of possible relative timings of internal nodes for the two phylogenies is most ‘fit’. During the second step, the putative registered chronology and dynamic programming are used to infer the set of macroevolutionary events that generated the observed contemporary associations. Given the inferred set of macroevolutionary events for a specific timing, its fit equals the sum over all events of the inferred number of transitions weighted by their individual ‘cost’. jane then uses the best‐fitting (i.e. lowest total cost) timing as the basis for constructing a new population of possible timings, and this two‐step process is repeated for the number of iterations (‘generations’) specified by the user.
Our implementation of jane largely followed the parameters used by Cruaud et al. (2012) in their analysis of the co‐phylogenies of Ficus and pollinating wasps for a global sample of species. Specifically, we set the costs per event as 0 for co‐speciation and 1 for duplication, branch switching, loss, and divergence failure, which is the primary cost structure considered by Cruaud et al. All analyses ran for 40 generations and considered 1000 populations, except that the analyses of Ficus and pollinating wasps involved 4000 populations.
Being based on contingent co‐divergence, jane infers macroevolutionary events by comparing the phylogeny of a comparator (putative reactive) clade with that of a reference (putative antecedent) clade (i.e. comparator|reference) (Conow et al., 2010). This approach is appropriate for the parasitic relation of galling wasps with Ficus, as the evolution of galling wasps reasonably follows that of Ficus, to the extent that their histories are linked. By contrast, the choice of reference and comparator clades is not obvious for the mutualistic association of Ficus and pollinating wasps, or possibly for pollinating and galling wasps, depending on the nature of their competitive interactions. For these cases, the inferred timings and types of co‐phylogenetic events could depend on the choice of reference and comparator clades, possibly leading to spurious conclusions. To address this problem, we conducted two jane analyses for each pair of clades. Comparison of the two analyses for Ficus and galling wasps is informative, because the distribution of events for gallers|Ficus should be more indicative of the actual history than that for Ficus|gallers. This information can then be used to identify whether the choice of reference and comparator clades affects the outcome for the other two analyses and, if so, which choice is preferable.
We compared the inferred relative frequencies of the five classes of co‐phylogenetic events for the associations of pollinating (excluding cheaters) and galling wasps with Ficus, Ficus and galling wasps with pollinating wasps, Ficus and pollinating wasps with galling wasps, and monoecious and dioecious Ficus with pollinating wasps. For most co‐phylogenetic analyses, jane identified several (four or fewer) different event distributions with the same minimal cost. For example, the analysis of the associations of Ficus and pollinating wasps found two lowest‐cost sets of distributions for co‐speciation, duplication, switching, loss, and failure to diverge (9, 2, 16, 0, 0; 10, 2, 15, 1, 0), representing 79.5% and 20.5% of all solutions, respectively. In these cases, we calculated the average probability of rejecting the null hypothesis of identical event frequencies using the event distributions for all outcome sets, weighted by their respective relative frequencies.
Results
The pairwise associations between Ficus and pollinating and galling wasps differed considerably. Each pollinating wasp species associated with only one Ficus species (Fig. 2a). By contrast, the 33 species of galling wasps associated with only 12 Ficus species. Galling wasps associated nonrandomly with fig species, as 10 of the 12 host species are monoecious (Fig. 2b; Fisher's exact test, P < 0.01). Eight Ficus species (all monoecious) hosted multiple (up to six) species of galling wasps; however, each galling wasp species used syconia of only one Ficus species and correspondingly associated with only one species of pollinating wasp (Fig. 2c). The multiple galling wasp species associated with individual species of Ficus and pollinating wasps generally represented different subfamilies (Fig. 2b,c).
The extent of historical co‐diversification between figs and pollinating and galling wasps, as quantified by the distance‐based PAco analyses, differs depending on the nature of their interactions. The overall analysis for figs and their pollinating wasps identified significant phylogenetic congruence ( = 0.487, P < 0.001). However, this result obscures heterogeneity, as illustrated by the different thicknesses of the association lines in Fig. 2a. Specifically, the diversification histories of figs and pollinating wasps were significantly congruent for dioecious figs ( = 0.232, P < 0.001) but not for monoecious figs ( = 0.591, P > 0.3). Similarly, the phylogenetic history of galling wasps was not congruent with that of their fig hosts ( = 1.399, P > 0.3; Fig. 2b), most of which are monoecious. By contrast, pollinating and galling wasps hosted by these fig species exhibited significant phylogenetic congruence (Fig. 2c), regardless of whether the analysis considered independent divergence ( = 0.670, P < 0.001) or contingent divergence (Gallers|Pollinators, = 0.00008, P < 0.001; Pollinators|Gallers, = 0.00006, P < 0.001).
Comparisons of jane analyses that differed with respect to which clade served as reference and comparator groups revealed informative differences between the pairwise contrasts for Ficus and pollinating and galling wasps (Fig. 3). For the mutualistic relation of Ficus and pollinating wasps, the results differed little if Ficus served as the reference or comparator clade (Fig. 3a). As Pollinators|Ficus fit slightly better than Ficus|Pollinators (total cost equal to 16 vs 18, respectively; Fig. 3a), we use the Pollinators|Ficus results in subsequent comparisons between interaction types. For this association, the relative frequencies of macroevolutionary events did not differ significantly between monoecious and dioecious fig species (P < 0.2; Fig. 3d). For the co‐phylogenetic associations of Ficus and their parasitic galling wasps, the analysis that reflected their ecological interaction, Gallers|Ficus, fit much more parsimoniously than the unrealistic Ficus|Gallers option (total cost equal to 28 and 114, respectively). These results differed, in that jane inferred more host switching but much less association loss and divergence failure for the realistic relation (Fig. 3b). A similar contrast was evident for the association of pollinating and galling wasps (Fig. 3c). In this case, Gallers|Pollinators fit much more parsimoniously (total cost equal to 24 and 103, respectively). Consequently, we use the results for Gallers|Ficus and Gallers|Pollinators in subsequent comparisons between interaction types.
The co‐diversification characteristics inferred by the jane analyses reveal differences in the macroevolutionary processes that generated the observed overall patterns of phylogenetic congruence (Fig. 4). The distributions of event frequencies differed significantly for co‐diversification of mutualistic pollinators and parasitic gallers with Ficus (averaged Fisher's exact tests, P < 0.025). Specifically, compared with galling wasps, co‐diversification of pollinating wasps involved more co‐speciation and less duplication and host switching (Fig. 4a). The relative event frequencies for mutualists (Pollinators|Ficus) and competitors (Gallers|Pollinators) also differed significantly (P < 0.05). In this case, co‐diversification of competitors involved more co‐speciation, association duplication, and loss than that of mutualists (Fig. 4b). Finally, the significant difference in event distributions for galling wasps as antagonists of Ficus and competitors of pollinating wasps (P < 0.025) involved more co‐speciation and association loss, but less association switching by competitors than by antagonists (Fig. 4c). In addition to these patterns, note the moderate inferred frequency of association losses involving pollinating and galling wasps compared with that of either co‐phylogeny involving Ficus species (Fig. 4b,c).
Discussion
Interaction type and co‐diversification
The co‐diversification patterns detected for the phylogenies of a local assemblage of fig species and their pollinating and galling wasps largely support expectations for mutualists and antagonists, but they are less consistent for competitors. The co‐phylogeny of Ficus and their pollinating wasps reflects their mutualistic interdependence. As expected, this co‐phylogeny exhibited significant congruence, although only for interactions involving dioecious fig species (Fig. 2a; see Interaction of interactions section). The inferred relative frequencies of macroevolutionary events differed little if Ficus or pollinators served as the reference clade in the jane analysis (Fig. 3a), indicating reciprocal diversification. Finally, as expected, the histories of the mutualists involved more co‐speciation than the host–antagonist (Ficus–galler) co‐phylogeny (Fig. 4a). Relatively high incidence of co‐speciation is a common finding of macroevolutionary studies of figs and their pollinating wasps, whether considering samples from single sites, biogeographic regions, or the global biota (Jousselin et al., 2008; Silvieus et al., 2008; Cruaud et al., 2012). Phylogenetic congruence has also been observed for more generalized pollination systems (Hutchinson et al., 2017b), and co‐speciation is similarly prevalent in the co‐diversification of other specialized mutualistic and commensal associations (e.g. Currie et al., 2003; Hoyal Cuthill & Charleston, 2012; Chen et al., 2017).
The phylogenetic association of Ficus hosts with parasitic galling wasps differed from that with pollinating wasps, reflecting the antagonistic nature of their interaction (also see Weiblen & Bush, 2002; Silvieus et al., 2008). Each Ficus species hosted a unique set of galling wasps, usually comprised of distantly related species from different subfamilies (Fig. 2b). Consequently, the jane analysis that incorrectly specified the history of galling wasps as the reference (antecedent) phylogeny inferred association loss and divergence failure as the most common macroevolutionary events (Fig. 3b). Finally, compared with the mutualist co‐phylogeny, the host–antagonist history involved more host switching (Fig. 4a; also see Weiblen & Bush, 2002), generating the taxonomic diversity of galling species associated with individual pollinating wasp species. This difference arose even though galling wasps interacted with only 12 of the 26 Ficus species studied and their pollinating wasps. The prevalence host switching could reflect two nonexclusive influences. It should arise if hosts respond to diverse sets of specialized antagonists with batteries of defences (Jermy, 1984; Janz, 2011; Hardy & Otto, 2014), and is commonly observed for figs and galling wasps (Cook & Segar, 2010) and other antagonistic associations (Doña et al., 2017; Hsu et al., 2018; Purcell et al., 2018). Host switching could also be promoted by competition among multiple galling species contesting for access to ovules of the same fig species (e.g. Kerdelhué & Rasplus, 1996b). The relative importance of these influences on co‐diversification of figs and their parasites awaits focused analysis.
Compared with mutualism and antagonism, the results concerning competitive associations between pollinating and galling wasps align less consistently with expectations. The phylogenetic histories of the competitor clades were significantly congruent, regardless of the nature of the assumed competition (Fig. 2c; also see Marussich & Machado, 2007). However, alternative scenarios for the nature of competition support very different inferences concerning the competitive influences of pollinating and parasitic wasps on each other (Fig. 3c). If galler speciation is assumed to precede pollinator divergence (Pollinators|Gallers), jane analysis inferred very high frequencies of association loss and divergence failure. These events both involve independent diversification but differ in whether individual species in the reactive clade continued associating with one (association loss) or both (divergence failure) derived species in the antecedent clade. By contrast, for the Gallers|Pollinators scenario, such macroevolutionary independence was inferred to have occurred rarely, whereas co‐diversification events (co‐speciation and association switching) were relatively more common. That this scenario supported a much more parsimonious inference suggests that diversification of galling wasps primarily reacted to that of pollinating wasps. Based on this conclusion, the inferred high relative frequency of association switching, compared with mutualists or antagonists (Fig. 4b,c), is consistent with the expected macroevolutionary consequences of interspecific competition. By contrast, the corresponding high inferred frequencies of co‐speciation compared with mutualistic and host–parasite associations (Fig. 4b,c) and of duplication compared with mutualists (Fig. 4b) contradict the expectation of evolutionary dissociation of competitors. This contrast likely reflects heterogeneous competition (Sweet et al., 2016) associated with the diverse biology of co‐occurring parasitic wasps (see Borges, 2015). In particular, galling wasp species likely experience limited or intense competition with pollinating species, or even with other cohabiting galling species, depending on whether they oviposit before or simultaneously or after each other. Thus, just as competition has manifold ecological consequences (Aschehoug et al., 2016), its macroevolutionary consequences may be more diverse than those of mutualism and parasitism (Drury et al., 2016). This complexity may partially contribute to the few published studies of co‐diversification involving clades of competitors (but see Sweet et al., 2016).
Interaction of interactions
In contrast to the pairwise comparisons between mutualism, antagonism, and competition that are the focus of our analysis, all three interaction types occur simultaneously in fig microcosms and other communities (e.g. Cafaro & Currie, 2005). This complexity creates the possibility that the co‐diversification characteristics of one interaction type, such as mutualism, might differ depending on the nature of the other interactions in which species engage. Such interference could be identified by comparison of macroevolution of two interaction types in the presence or absence of a third type.
Monoecious and dioecious fig species provide an opportunity for such a comparison, because galling wasps, and hence their roles as antagonists and competitors, are largely absent from dioecious species (Kerdelhué & Rasplus, 1996a; Wu et al., 2013). Specifically, galling wasps were absent from 11 of the 13 dioecious Ficus species that we studied, and the other two species interacted with only one galling species (Fig. 2). The PAco analyses detected largely isomorphic phylogenies for dioecious figs and their pollinators, as expected for shared histories (Fig. 2a). By contrast, the correspondence of the branching patterns of monoecious figs and their pollinators did not differ significantly from random expectation. In parallel with this contrast, inferred co‐diversification patterns with pollinating wasps involved somewhat more co‐speciation for dioecious figs but more host switching for monoecious figs (Fig. 3d), although this difference was not statistically significant, perhaps because of limited statistical power (13 associations for each sexual system). Similarly, Yang et al. (2015) found more prevalent co‐speciation and duplication but less frequent host switching for dioecious figs than for monoecious species.
The somewhat different co‐diversification patterns associated with the mutualism of pollinating wasps with monoecious and dioecious figs could reflect various evolutionary effects of interaction with galling wasps. Evolution of (mostly monoecious) figs and pollinators in the presence of gallers likely involves compromise between promoting mutualistic interactions and defending against the effects of parasitism and competition. By contrast, evolution of fig and wasp traits that promote mutualism should be less constrained in (mostly dioecious) lineages that interact weakly, if at all, with galling wasps. The resulting enhanced specialization of traits promoting fig–pollinator mutualism should correspondingly increase the likelihood of co‐speciation and decrease the opportunity for association switching. More generally, this interpretation identifies that, although specific types of ecological interaction are expected to generate particular patterns of co‐diversification, these patterns may not be fully realized when species also engage in other interactions.
Potential study limitations
Several features of our study might constrain the scope of interpretation. The first feature involves whether the observed co‐phylogenetic patterns support inference regarding the underlying ecological and speciation processes. For example, several processes could cause the co‐phylogenetic conservatism evident in tendency of related species of pollinating wasps to occupy related Ficus species (Fig. 2a). One possibility involves co‐speciation, whereby interaction between partners promotes reproductive isolation for both species. Another possibility involves independent, coincident local adaptation after the partners occupy a new environment following dispersal or vicariance (Althoff et al., 2014; Hembry et al., 2014; Maron et al., 2019). However, this alternative seems unlikely for figs and pollinating wasps because, except for a brief dispersal period, pollinating wasps live their lives within figs. Consequently, local adaptation by pollinating wasps should arise largely from selection imposed by syconium characteristics, rather than by external environmental conditions. Similarly, rather than reflecting competitive interactions, co‐diversification of galling and pollinating wasps could simply reflect their joint association with speciating fig species. However, this possibility is not supported by the contrasting relative frequencies of different macroevolutionary events involving these clades with Ficus (Fig. 4a) and galling wasps with Ficus or pollinating wasps (Fig. 4c). Thus, biological evidence and contrasting inferred distributions of macroevolutionary events argue in favour of distinctive influences of mutualism, competition, and antagonism on the co‐diversification of figs and pollinating and galling wasps.
The second possible limitation involves our analysis of a local fig–wasp assemblage. The sampled species are a subset of the diversity of Ficus and associated wasps, even in tropical China (Yang et al., 2004), and so incompletely represent the phylogenetic relationships within clades and interactions between clades. Such incomplete sampling necessarily increases the apparent incongruence between the phylogenies of interacting clades, predisposing inference of host switching over co‐speciation (Cruaud et al., 2012). However, our analysis focuses on the relative, rather than absolute, frequencies of different events, particularly whether they differ depending on the functional roles played by the wasp species (e.g. was co‐speciation more common for mutualists than for hosts and antagonists?). As most pollinating and galling wasp species associate with a single Ficus species (Cook & Segar, 2010; Fig. 2), these relative frequencies should be more robust to incomplete sampling. The possible exception involves the comparison of co‐phylogenetic events for pollinating wasps with monoecious and dioecious Ficus. Thirteen species represented each sexual system, which could limit statistical power to detect different relative frequencies. Nevertheless, our analysis did identify such differences, suggesting that the sample was adequate for its intended purpose. Thus, the tripartite nature of our analysis and specific features of the fig microcosm likely mitigate the effects of sampling a local assemblage.
Conclusions
The results of this study generally support the proposal that mutualism, competition, and antagonism can influence co‐diversification of interacting clades. Just as beneficial interactions between individuals promote coalitions and negative interactions promote dissociation, mutualism tends to facilitate co‐speciation, competition promotes interaction loss, and antagonism encourages association switching. However, the co‐phylogenetic patterns observed for figs and their associated pollinating and galling wasps do not adhere strictly to these expectations, likely for two reasons. Heterogeneous features of a particular type of interaction, such as competition, with several other species can foster diverse macroevolutionary outcomes. In addition, three‐way interactions between mutualists, competitors, and antagonists may alter the conditions that enable co‐speciation and association switching and loss. Owing to such context dependence, the expected influences of ecological interaction on co‐diversification may be most apparent for highly specific associations between evolving clades, such as exist in fig microcosms.
Author contributions
W‐JL, Y‐QP and D‐YZ designed the research. A‐YW, Y‐QP, D‐RY, J‐FH and W‐JL conducted field sampling and identified fig and wasp species. A‐YW performed the molecular analyses and phylogenetic reconstruction, and A‐YW and LDH conducted the data analyses. A‐YW, LDH, D‐YZ and W‐JL wrote the manuscript. A‐YW and Y‐QP contributed equally to this work.
Supporting information
Acknowledgements
We thank Pei Yang and Ming‐Xin Liu for helping with sample collection, and Li‐Yuan Yang for valuable comments on this study. We thank Marc Johnson and three anonymous reviewers for their valuable suggestions and guidance for improving the manuscript. This work was supported by the National Natural Science Foundation of China (31421063 to D‐YZ and 31800313 to J‐FH), the 111 project (B13008 to D‐YZ), the Chinese Academy of Sciences 135 program (no. 2017XTBG‐T01 to Y‐QP), Beijing Advanced Innovation Program for Land Surface Science, and the State Key Laboratory of Earth Surface Processes and Resource Ecology.
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