Wolbachia is one of the most common endosymbionts found infecting arthropods. Theory predicts symbionts like Wolbachia will be more common in species radiations, as host shift events occur with greatest frequency between closely related species. Further, the presence of Wolbachia itself may engender reproductive isolation, and promote speciation of their hosts. Here we screened 178 individuals belonging to 30 species of the damselfly genera Nesobasis and Melanesobasis — species radiations endemic to the Fiji archipelago in the South Pacific — for Wolbachia, using multilocus sequence typing to characterize bacterial strains. Incidence of Wolbachia was 71% in Nesobasis and 40% in Melanesobasis, and prevalence was also high, with an average of 88% in the Nesobasis species screened. We identified a total of 25 Wolbachia strains, belonging to supergroups A, B and F, with some epidemic strains present in multiple species. The occurrence of Wolbachia in both males and females, and the similar global prevalence found in both sexes rules out any strong effect of Wolbachia on the primary sex-ratio, but are compatible with the phenotype of cytoplasmic incompatibility. Nesobasis has higher species richness than most endemic island damselfly genera, and we discuss the potential for endosymbiont-mediated speciation within this group.
Wolbachia is a genus of endosymbiotic α-Proteobacteria, which infects a wide range of hosts, including arthropods and filarial nematodes1. Among the arthropoda, studies have estimated Wolbachia infects between 40%2 and 52%3 of species (including arachnids and crustaceans, but predominantly insects). A recent study on aquatic insects has estimated that 52% of these carry Wolbachia, a figure comparable to that found in terrestrial insects4. In most cases however, a minority (<10%) of individuals within species are infected5. Wolbachia are categorised as reproductive parasites, i.e. maternally inherited microorganisms that manipulate the reproduction of their hosts in ways that enhance the production or the survivorship of infected females, hence increasing their own fitness. Reproductive alterations induced by Wolbachia include the feminization of chromosomally male embryos, killing of male hosts during embryogenesis, induction of thelytokous parthenogenesis, and cytoplasmic incompatibility (CI). The latter prevents successful mating between infected males and uninfected females, or between individuals infected with different, incompatible Wolbachia strains1. Beyond these reproductive manipulations, Wolbachia can also evolve mutualistic associations with their hosts, including facultative relationships that increase host fecundity or host survival/longevity, provide nutritional provisioning, or protect hosts against pathogenic attacks. In some cases hosts have evolved complete dependence upon Wolbachia6,7.
Vertical transmission of Wolbachia from mother to offspring occurs through the germline and somatic stem cell niches8. On a longer evolutionary scale, vertical transmission can be identified by a shared phylogeny between the endosymbionts and their hosts. However, this pattern is usually not observed for Wolbachia, reflecting a process in which vertical transmission within species combines with occasional horizontal transmission between species9,10. In order to gain evidence for either strict vertical inheritance or occasional horizontal transfer in a particular host clade, one can compare the phylogenetic tree of the symbionts to that of the hosts. This approach also provides hints into the possible nature of the interaction, since obligate mutualists tend to be strictly vertically transmitted, whereas facultative symbionts are more often transferred horizontally11. Approaches like these have been used, for example, to examine the sources of endosymbiont infections in the wasp genus Nasonia, which comprises four species carrying multiple Wolbachia strains12. They have also allowed for the production of global estimates of the rates of Wolbachia loss and acquisition10.
In the present study, we examine the patterns of Wolbachia incidence in a radiation of island damselflies. It has been suggested that species radiations provide the conditions under which symbiont incidence may rise to very high levels13. This theory derives from the increased likelihood of symbionts undergoing a host shift event to closely related host species, which is the outcome of a combination of high contact rates (e.g. through hybridization and/or shared parasites) introducing infections across the radiation, with the close physiological and ecological similarity of the hosts making the symbiont more likely to be compatible with the new host species. Further to this, the presence of diverse symbionts may potentiate speciation in species radiations, through the spread of symbiont strains that encode CI in their hosts, and which may produce barriers to gene flow14,15,16.
Nesobasis is one of the most species-rich genera of Odonata (dragonflies and damselflies) found in oceanic islands. It is endemic to the Fiji archipelago, and currently, there are 21 Nesobasis species described, and 15 more awaiting description17 (N. Donnelly pers. comm. and authors’ own data, see Fig. 1a). Only the genus Megalagrion in the Hawaiian Islands has a comparable level of species diversity for an insular group of odonates18,19,20. The genus Melanesobasis includes a total of seven described species and one sub-species, with another two species currently undescribed21; seven of these are found exclusively in Fiji, while M. bicellulare occurs on Maewo in Vanuatu. Some species of Nesobasis display female-biased sex ratios at oviposition sites along forested streams17,22. Males of several species have been found to be territorial, defending positions along streams and approaching passing females; and females, even in those species where males are rare, do not defend territories22.
Species within Nesobasis show striking morphological diversity, with large differences in coloration and size among species23 as well as elaborate secondary reproductive structures in males and females17. A recent molecular phylogeny and biogeographical analysis of Nesobasis and Melanesobasis23 found that, while current species distributions fall into two main assemblages associated with the two largest islands in the archipelago (Viti Levu and Vanua Levu; see Fig. 1b) some dispersal has happened over evolutionary time, such that these assemblages do not form distinct phylogenetic clades. While dispersal seems to have been involved in speciation in Nesobasis, a large number of speciation events appear to have taken place within a single island, an interesting pattern considering this group of species has very little ecological diversification, with many species occurring sympatrically in forested stream habitats. Diversification rates also appear to have increased significantly over time within these taxa, a pattern associated in some models with non-ecological speciation24,25.
In a preliminary screening, some species of Nesobasis were found to be infected by Wolbachia22. Such a large radiation showing Wolbachia infections provides a relevant system to gain insights into the mode of symbiont transfer within clades, and to investigate any potential contribution of Wolbachia to speciation. The presence of multiple, closely related species of Nesobasis may enable endosymbiont transfer between species through hybridization, whereas the presence of ectoparasitic mites, commonly found on odonates, could represent vectors of genuine horizontal transfer events. Here, we examine the pattern of symbiont incidence in these damselfly genera. We report on the results of a Wolbachia screening for a total of 178 individuals from 25 Nesobasis and 5 Melanesobasis species. We used a multilocus sequence typing (MLST) approach to characterize the strains found infecting these damselflies, sequenced the hosts nuclear and mitochondrial DNA to provide further insights into the evolutionary history of these host-symbiont associations, and examined correlations between the host and endosymbiont phylogenies.
Incidence and prevalence of Wolbachia infections in Nesobasis and Melanesobasis
A total of 178 individuals belonging to 25 Nesobasis and 5 Melanesobasis species, representing respectively 69.45% and 71.43% of the described species diversity in each genus, were screened for the presence of Wolbachia. The incidence of infection was 72% in Nesobasis (18 infected species out of the 25 species screened) and 40% in Melanesobasis (2 out of 5 species screened were found to be infected). Considering only those species for which at least 5 individuals could be screened (all of them within Nesobasis), the prevalence of Wolbachia infection ranged from 9.1% to 100% across species (Table 1, Fig. 2). Wolbachia was observed in species with both normal and female-biased sex ratios in the field (Table 1), and no correlation between Wolbachia infection status and host sex was observed (Fig. 2). Pooling specimens from all species, the total prevalence of Wolbachia was 80.5% in males and 70.3% in females and this difference was not significant (χ2 = 2.45; df = 1; P = 0.117). Interestingly, a significant difference in incidence of Wolbachia infection was found between the two island groups, with a higher proportion of Vanua Levu than Viti Levu species of Nesobasis being infected with Wolbachia (100% of species from Vanua Levu vs. 47.37% of species from Viti Levu; χ2 = 5.93; df = 1; P = 0.015).
Wolbachia MLST characterization and strain distribution
Twenty-nine individuals belonging to the 20 infected Nesobasis and Melanesobasis species were selected for MLST genotyping of the Wolbachia. A total of 34 alleles from the genes gatB, coxA, hcpA and fbpA were identified, of which 12 were new to the MLST database (Table 2; http://pubmlst.org/wolbachia). This allelic diversity represented 25 unique Wolbachia strains (Table 2), which were identified by the ClonalFrame analyses as belonging to supergroups B, A and F (Fig. 3).
Wolbachia strains belonging to supergroup B (n = 10) were found in 8 of the Nesobasis species analyzed (Tables 1 and 2). Strains B1 to B9 grouped together with high support in the ClonalFrame analysis (Fig. 3a), with B strains found infecting Isoptera and Lepidoptera as the closest relatives. Strain B10 grouped together with strain 394 from the MLST database, which infects the dragonfly species Crocothemis servilia. With the exception of strains B5 and B6, which were found in 2 Nesobasis species each; the remaining B strains were each found in a single Nesobasis species (Table 2).
Strains belonging to supergroup A (n = 7) clustered together with high support in the ClonalFrame analysis, forming a monophyletic clade, well differentiated from the other A strains from the MLST database included in the analysis (Fig. 3b). Supergroup A strains were the most common in our sample, being found in 11 Nesobasis species, and the 2 Melanesobasis species (i.e. in 13 out of the 20 infected species; Table 1). From these, strain A1 seems to be epidemic, as it has been found in 7 of the Nesobasis and in the two Melanesobasis infected species. Strain A2 was found in 3 Nesobasis species; strain A3 was found in two Nesobasis species, and the others (strains A4 to A7) were found in a single Nesobasis species each (Table 2). Notably, the A supergroup had not been identified in earlier surveys of odonates, suggesting Wolbachia diversity is not randomly distributed in this insect order.
Strains falling in the F supergroup (n = 8) were found in 10 Nesobasis species (Tables 1 and 2). Most of the F strains appeared as closely related to other F strains found infecting odonates26 (Fig. 3c), whereas strains F1 and F3 group together with Wolbachia strain 265 (occurring in Isoptera) as their closest relative. With the exception of strains F4 and F8, which were found in 3 and 2 Nesobasis species respectively, F strains were each detected in a single Nesobasis species.
Occurrence of coinfecting Wolbachia lineages was common in our samples: 11 out of the 20 infected species showed infection by more than one Wolbachia strain (Table 1). Co-occurrence of A and B Wolbachia strains was observed in individuals belonging to 6 species: Nesobasis sp. nov. 11 (n = 2), N. brachycerca (n = 1), N. comosa (n = 1), N. erythrops (n = 2), N. heteroneura (n = 1), and N. malcolmi (n = 1). Co-infection by A and F strains was found in individuals from 4 species: N. anguillicolis (n = 2), N. rufostigma (n = 2), N. sp. nov. 6 (n = 1) and N. sp. nov. 13 (n = 1). Finally, co-occurrence of B and F supergroups was found in one specimen of N. brachycerca.
Single Wolbachia infections were found in individuals belonging to 10 species. Individuals belonging to Melanesobasis corniculata marginata (n = 1), M. maculosa (n = 1), N. comosa (n = 1), N. heteroneura (n = 1) and N. sp. nov. 9 (n = 1) showed infection by a single Wolbachia A strain. N. sp. nov. 17 (n = 2) and N sp. nov. 4 (n = 1) showed single B strain infection; and finally, N. recava (n = 1), N. telegastrum (n = 1) N. sp. nov. 3 (n = 1), N. sp. nov. 10 (n = 1) and N. sp. nov. 13 (n = 2), were infected by F Wolbachia strains (see Table 1 and Suppl. Information Table S1 for details on strains infecting each species/individual).
Phylogenetic relationships among host species
For each of the markers used to infer the host evolutionary history, phylogenetic trees obtained with BI and ML methods were congruent. The genera Nesobasis and Melanesobasis were both recovered as monophyletic groups with high support using both COI and PRMT loci (see Fig. 4). In the case of Nesobasis, the monophyly of some species was also well supported regardless of the marker used (e.g. N. rufostigma, N. selysi, N. brachycerca, N. erythrops, N. comosa/N. heteroneura and N. sp. nov. 17). For other species included in the study, monophyly could not be tested as they were represented by a single individual (e.g. N. sp. nov. 6, N. sp. nov. 10 or N. sp. nov. 3). Some instances of unresolved or poorly supported nodes were observed, especially for the PRMT locus, which could be due to incomplete lineage sorting, or a rapid and recent species radiation23. Discrepancies between nuclear and mitochondrial phylogenies may also stem from introgression of mitochondria driven by symbionts27. Below we explore the congruence (or lack thereof) between our COI and PRMT phylogenies.
The “erythrops A” clade from Beatty et al.23, which includes the species N. brachycerca, N. erythrops, N. flavifrons, N. telegastrum, N. recava and N. selysi, is well supported in all analyses and by all markers (see Fig. 4). However, the other major Nesobasis clades as described by Beatty et al.23 were in some cases not well supported or showed incongruences between nuclear and mitochondrial markers. Such is the case of the “comosa” group sensu Beatty et al.23. This clade includes the species N. heteroneura, N. comosa, N. sp. nov. 6, N. sp. nov. 10 and N. malcolmi; it appears in our case reasonably well supported by the PRMT locus (Fig. 4b). However, this clade appears to be paraphyletic in the COI tree (Fig. 4a). Interestingly, while the individuals of N. malcolmi form a monophyletic and well supported group in the COI tree (see Fig. 4a), this species is not recovered as monophyletic in the PRMT phylogeny, with one individual (NE919) found within the “comosa” clade, and the remaining N. malcolmi grouping together with N. sp. nov. 3, N. anguillicolis and a N. longistyla individual (all species belonging to the “erythrops B/longistyla” clade sensu Beatty et al.23). This group appears as well supported by the COI locus (BI posterior probability = 1 and ML bootstrap value = 70%; Fig. 4a), and includes also the species N. monticola, which was not included in Beatty et al.23. However, in the PRMT phylogeny, most species of this clade split in two main groups: on one side, N. sp. nov. 13, N. sp. nov. 11 and the majority of the N. longistyla individuals make a monophyletic group with a relatively good support (BI posterior probability = 0.72 and ML bootstrap value = 57%; Fig. 4b); while N. rufostigma, N. anguillicolis, N. sp. nov. 3 and one N. longistyla specimen group separately with the majority of the N. malcolmi individuals, as mentioned above, although this cluster is not supported by any of the analyses (Fig. 4b).
Despite our results being largely congruent with the recently established phylogeny of Nesobasis23, the observed differences stress the need to include a higher number of molecular markers, along with increasing the numbers of specimens in order to obtain a more complete picture of these species’ relationships, and thus distinguish phylogenetic artefacts from true heterogeneity in the evolutionary histories of different genomic regions. In particular, most of the observed differences stem from the use of PRMT in our study. Being an intron, this marker has a higher rate of evolution than protein-coding markers, therefore being more suitable for resolving low taxonomic relationships. Including PRMT together with additional nuclear markers in our study would probably help to better account for phylogenetic discordance across the genome due to lineage sorting or interspecific hybridization.
The results of ParaFit and PACo analyses suggest there is some level of topological congruence between the phylogenies of Wolbachia and their damselfly hosts (ParaFit-Global = 0.036, p = 0.002; PACo m2XY = 0.855, p < 0.001). In addition, PACo results suggest that host and Wolbachia are not randomly associated, although it is unclear which of the individual associations contributed to the overall congruence, because the results of ParaFitLink1 and ParaFitLink2 tests differed from those of the squared residual values of PACo (see Fig. 5, Suppl. Information Fig. S1, Suppl. Information Table S5).
The analysis with Jane found a total of 1,000 solutions that explain the association between Wolbachia and their hosts, all of them with the same total cost (93). These were reduced to 12 after compressing isomorphic solutions. These solutions can be considered sufficiently robust because their total cost was smaller than the cost of all simulated samples. The most frequent events found were: loss (40), followed by failure to diverge (24), duplication and host switch (i.e. horizontal transfer) (10), duplication (7) and co-speciation (5) (see Suppl. Information Fig. S2). The preponderance of events where the speciation of the hosts was not followed by the divergence of Wolbachia (duplication, duplication and host switch, failure to diverge) suggests that these host-symbiont associations are not stable through evolutionary time. The high incidence of Wolbachia, despite the high frequency of loss events, suggests that reinfections have been frequent during the evolutionary history of associations between these bacteria and their damselfly hosts. Some of these reinfections could take place via horizontal transmission (i.e. duplication and host switch) between hosts of the same or a different genus, or through hybridization (see Suppl. Information Fig. S2). Regarding the co-speciation events, only the one involving the Nesobasis species N. sp. nov. 11 (individuals NE0613, NE0638) and N. sp. nov. 4 (NE0455) and the Wolbachia strains ST_B10, ST_B3 and ST_B5, included associations of high contribution to the overall congruence between topologies detected by ParaFit and PACo (see Fig. 5, Suppl. Information Figs S1 and S2, and Suppl. Information Table S5).
Theory predicts that endosymbionts may become more common in groups of closely related species, as the probability of symbiont transmission between host species declines with increasing genetic distance between hosts. In other words, a high incidence of infection is expected in clades undergoing radiation13. Consistent with this, our results indicate that the incidence of Wolbachia in Nesobasis species is among the highest reported in the literature for this endosymbiont. While previous screenings using methodologies similar to ours (i.e. standard PCR screening) have shown an average Wolbachia incidence of 20% in arthropods (mainly insects)28,29, we have found that 72% of the Nesobasis species screened are infected by this endosymbiont. This value is much higher than previously estimated incidences for other terrestrial and aquatic insect species4,5. The proportion of infected individuals within species was also higher than reported for other insect orders5, with only one species (N. sp. nov. 4) having fewer than 10% of screened individuals infected (see Table 1). Only two out of five Melanesobasis species were found infected, suggesting a possibly lower incidence in this genus than in Nesobasis, although a larger sample size would be needed to confirm this trend. It is important to note that our Wolbachia incidence estimation is conservative, since only one individual was available for many of the screened species (see Fig. 2). Together with the possibility of a false negative PCR, this limits our ability to detect low prevalence infections.
We used an MLST approach to analyse if the high incidence of Wolbachia was associated with highly diverse Wolbachia infections, or whether the high incidence of Wolbachia was associated with fewer strains showing epidemic spread across the clade, as predicted by Engelstädter and Hurst13 for adaptive radiations. We found a remarkably high level of diversity of Wolbachia in our sample: 25 unique strains were identified in the 29 Melanesobasis and Nesobasis individuals investigated. Nevertheless, particular epidemic strains were found in multiple species (e.g. strain A1, Fig. 5b), thus implying that host shifts within the clade explain part of the high incidence. Acquisition from more distant hosts also appears to have contributed to the high Wolbachia incidence and diversity observed within this clade.
The high Wolbachia incidence found in Nesobasis may in part result from the high species richness in this group, but reciprocally, Wolbachia may also have contributed to host speciation. Indeed, this symbiont can create or exacerbate reproductive isolation between their hosts when it expresses the CI phenotype. Specifically, the effect on speciation rates will be highest when sister species carry different CI types, that is, mutually incompatible Wolbachia strains16. Within our data, we observe many different strains in many species, a pattern compatible with a role of Wolbachia in reproductive isolation. The likelihood of such a hypothesis will depend on the phenotypic effects that these endosymbionts may have in Nesobasis. The observed lack of association between host sex and Wolbachia infection status rules out a scenario of male-killing or feminization phenotypes. In addition, for those species reported as having female-biased sex ratios in the field, the prevalence of Wolbachia was not higher than that observed in species with 1:1 sex ratios (e.g. N. rufostigma, N. malcolmi or N. sp. nov. 4, see Table 1), thus excluding parthenogenesis induction. While the high Wolbachia frequencies found within Nesobasis species are compatible with a CI phenotype30, the role of Wolbachia in the speciation process still requires direct study of the endosymbiont phenotype in these hosts. While captive rearing and breeding of odonates may be challenging (their dietary requirements as predators in the larval and adult stages can make long-term maintenance difficult, and not all species are amenable to mating in laboratory conditions) the large number of species involved would serve as an abundant resource for experiments.
The high prevalence of Wolbachia observed in many of the Nesobasis species screened suggests that the efficiency of endosymbiont vertical transmission is high in our sample. At the interspecific level, our ParaFit and PACo global results consistently indicate that the host and symbiont histories are not independent, and indeed the analysis with Jane indicated some likely co-speciation events. However, the observed pattern of Wolbachia infection is not explained by vertical transmission alone: the presence of an epidemic Wolbachia strain (strain A1) found infecting both Melanesobasis and Nesobasis, and the fact that some Nesobasis species were found harbouring multiple divergent Wolbachia strains, constitute evidence for host-switch events. These may involve genuine horizontal transfers. Although Wolbachia vectors are still unknown, parasitic mites could be at play as has been recently found in Drosophila31. Mites are commonly found on odonates32, including Nesobasis (M. Marinov, personal communication). On the other hand, rare hybridization events between host species could provide a means for horizontal transfer events on a small evolutionary scale, as suggested by the presence of the same or closely related Wolbachia in pairs of sister species. Wolbachia switches between host lineages through hybridization would generate introgression of the mitochondrial lineages associated with Wolbachia but not that of nuclear genes. Hybrid introgression events could thus partly explain the observed conflicts between the nuclear and mitochondrial trees in our data. Further exploration of this hypothesis will require a wider set of nuclear markers than those currently available.
The biogeographical patterns of Wolbachia infection among species of Nesobasis are interesting to consider in the context of hybridization and speciation. Viti Levu and Vanua Levu both have a large number of Nesobasis species with virtually no overlap. Viti Levu is the proposed origin for the radiation of Nesobasis within Fiji23, with dispersal events between Viti and Vanua Levu having occurred a number of times throughout evolutionary time. Vanua Levu has a significantly higher proportion of species infected with Wolbachia (100% in our sample) than Viti Levu (47% of species sampled). While the biogeographical analysis of Beatty et al.23 suggests that a relatively low number of extinctions are necessary to explain species distributions, it is possible that Wolbachia-induced reproductive isolation, paired with dispersal events, explains the higher rate of infection observed in the Vanua Levu species.
The high incidence and diversity of Wolbachia in our study system is in line with the hypothesis that this symbiont may spread most efficiently in species-rich groups. Reciprocally, these results open new avenues of research in addressing the question of why there are so many species of Nesobasis. Endosymbiont-mediated speciation could have contributed to the species radiation in this remarkable group of island damselflies. Further experiments, including direct assessments of the Wolbachia-induced phenotypes, and their effects of gene flow across species, will allow further exploration of this hypothesis.
Sample collection and DNA extraction
Samples of Nesobasis and Melanesobasis species were collected at several localities in Fiji in 2005 and 2006 (Fig. 1, Suppl. Information Table S1). Adult damselflies were collected using a hand net and preserved in absolute ethanol at 4 °C until DNA extraction. Total genomic DNA was extracted from the subterminal part of the abdomen of each specimen, using the DNeasy tissue kit (Qiagen, Venlo, The Netherlands), following the manufacturer’s protocol for insect tissues.
Wolbachia and host DNA amplification and sequencing
To test for the presence of Wolbachia in our damselfly samples, we amplified the wsp gene of the endosymbiont, following previously described PCR protocols with primers wsp_81F and wsp_691R33.
Wolbachia strains were characterized in a total of 30 individuals (1–2 per species, see Table 1 and Suppl. Information Table S1), using the five MLST housekeeping genes (gatB, coxA, hcpA, ftsZ and fbpA34). Each unique allele from all of the five genes is assigned a number, and hence, each Wolbachia strain (ST) is defined by a profile of five allele numbers (allelic profile). Primers specific to Wolbachia A and B supergroups for each of the five MLST genes were used for strain typing, following standard PCR protocols34 (https://pubmlst.org/wolbachia/).
PCR reactions were carried out using the DreamTaq Green PCR Master Mix (ThermoFisher Scientific, Waltham, Massachusetts). Prior to sequencing, unincorporated primers and dNTPs were digested using Shrimp Alkaline Phosphatase and Exonuclease I (New England Biolabs, Ipswich, Massachusetts, USA). Cleaned PCR products were sequenced in both directions using BigDye v.3.1 chemistry (Applied Biosystems, Foster City, California) and capillary electrophoresis on an ABI3130xl Genetic Analyzer (Applied Biosystems). Chromatograms were visually inspected and assembled with Geneious v. 9.1.735 (https://www.geneious.com).
All consensus sequences were trimmed to the appropriate length for database query, using the templates for each locus found in the MLST database (https://pubmlst.org/wolbachia/info/allele_templates.shtml). A BLAST search of each sequence was performed against the Wolbachia MLST database36 (http://pubmlst.org/wolbachia). When a sequence had an exact match in the database, it was assigned the designated allele number otherwise the sequence was submitted to the MLST database for allele number assignment.
To reconstruct the phylogenetic relationships of the host species, fragments of the Arginine Methyltransferase (PRMT) nuclear and the mitochondrial Cytochrome Oxidase I (COI) genes were amplified using specific primers and annealing temperatures37,38,39. PCR reactions, sequencing and chromatogram inspections were carried out as described above (see Suppl. Information Table S3 for information on primer annealing temperatures). For the PRMT locus, ambiguities with similar peak heights were considered to be heterozygous positions and recoded with IUPAC ambiguity codes. Some individuals from the species Nesobasis brachycerca (n = 1), N. sp. nov. 9 (n = 1), N. leveri (n = 1) and N. selysi (n = 2); showed superimposed traces typical of heterozygous indels, and these were resolved using the software Indelligent v.1.240 (http://dmitriev.speciesfile.org/indel.asp). All sequences generated in this study have been submitted to the NCBI GenBank (https://www.ncbi.nlm.nih.gov/genbank/; see Suppl. Information Tables S1 and S2 for accession numbers).
Genetic data analyses
All sequences were aligned with ClustalW41, as implemented in Geneious v. 9.1.7. Phylogenetic relationships among the Wolbachia strains found in Nesobasis and Melanesobasis were reconstructed using ClonalFrame v1.2, a bayesian software that estimates the clonal relationships between the members of a sample, while also estimating the chromosomal position of homologous recombination events that have disrupted the clonal inheritance42. The complete dataset used in the ClonalFrame analyses included MLST profile sequences from 101 representative Wolbachia strains from A, B, C, F and H supergroups that were downloaded from the MLST database (see Suppl. Information Table S4), together with the MLST strains identifies in the Nesobasis and Melanesobasis species. Three independent ClonalFrame runs of the dataset were performed, with 500,000 MCMC iterations after 100,000 burn-in iterations and all the rest of the parameters set as default. Convergence of the runs was assessed with the Gelman and Rubin method43 as implemented in the ParseCF script written by Barry Hall.
Phylogenetic relationships between the Nesobasis and Melanesobasis species for both mitochondrial and nuclear DNA were reconstructed under Maximum Likelihood (ML) and Bayesian Inference (BI) frameworks. ML trees were built using the Randomized Axelerated ML algorithms implemented in RaxML-HPC2 v.8.2.844, through the CIPRES web portal (http://www.phylo.org). The analysis was run under the GTR + G model, and bootstrapping was performed under auto majority rule criterion (autoMRE). BI analysis was performed in MrBayes v.3.2.645 implemented in Geneious v. 9.1.7. Searches were run for five million generations, in two independent runs, using the defaults priors and the best fitting nucleotide substitution model for each locus as selected in jModelTest v2.1.1046,47. Burn-in samples (first 25% of trees) were discarded, and the remaining were combined to produce a 50% majority rule consensus tree, with bipartition frequencies equal to posterior probabilities values.
In order to analyze the nature of the interactions between Wolbachia and their damselfly hosts, we followed the global-fit cophylogenetic approaches implemented by ParaFit48 and PACo49; and the event-based method implemented by Jane50. For these analyses, the datasets were pruned to contain only those Wolbachia infected hosts included in the MLST analysis for which COI sequences were also available.
ParaFit and PACo methods were used to assess the overall congruence between the topologies of the hosts and Wolbachia, and to identify those host-Wolbachia associations contributing to the detected congruence pattern. Genetic distance matrices (uncorrected p-distances) were obtained using MEGA X51 for both the Wolbachia concatendated MLST and the host COI datasets. These matrices, together with a matrix representing host-Wolbachia associations, were used as input for both analyses (see Suppl. Information Table S6). ParaFit assesses the congruence between phylogenies through a global test of random association between taxa (with a null hypothesis of no relationship), while PACo explicitly tests the dependence between topologies through a Procrustes superimposition of distance matrixes. For the PACo analysis, we tested the hypothesis that both the Wolbachia and host phylogenies depend on each other; with the null hypothesis that the Wolbachia ordination does not predict the host ordination and vice-versa, such that the host clades are randomly associated to the Wolbachia clades. Hypothesis testing was performed by setting the parameters methods = “quasiswap” and symmetry = T in the function PACo49. The relative contribution of individual associations to overall congruence was tested through ParaFitLink1 and ParaFitLink2 tests and assessed through the squared residuals for each association from PACo analysis (non-congruent associations: 95% squared residual confidence interval > median value). All analyses were conducted in R52 with the packages PACo v0.3.26053 and ape v5.154. All R scripts and the input data used in these analyses can be found in Suppl. Information Table S6.
In order to assess the contribution of a set of evolutionary events to the observed pattern of association between Wolbachia and their hosts, we performed an analysis with the software Jane v450 (https://www.cs.hmc.edu/~hadas/jane/index.html#get). Briefly, Jane attempts to find solutions that minimize the total sum of the event costs through a genetic algorithm. The costs for each evolutionary event were specified as follows: co-speciation = 0 (host and Wolbachia speciate simultaneously); duplication = 1 (Wolbachia speciates and both species remain on the same host); duplication and host switch = 2 (Wolbachia speciates and one of the new species switches onto a different host); loss = 1 (a host speciates and Wolbachia is absent in one of the new host species); and failure to diverge = 1 (a host speciates and Wolbachia remains on both new host species). Wolbachia and host phylogenetic trees were pruned to contain only those individuals for which both MLST and COI sequences were available, using the script filter_tree.py, provided within Qiime55. The pruned trees, together with a mapping of the tips of the parasite tree to tips of the host tree, were used as input for the analysis (see Suppl. Information Table S6). The genetic algorithm was run through 100 generations (G), with a population size (N) = 200; as higher G and N increased computational time without reducing the asymptotic cost of solutions. The robustness of the solution was assessed through a random permutation of tip mappings (G = 100, N = 200, sample size = 100).
Werren, J., Baldo, L. & Clark, M. E. Wolbachia: master manipulators of invertebrate biology. Nature Reviews Microbiology. 6, 741–751 (2008).
Zug, R. & Hammerstein, P. Still a host of hosts for Wolbachia: analysis of recent data suggests that 40% of terrestrial arthropod species are infected. PLoS One. 7, e38544 (2012).
Weinert, L. A., Araujo-Jnr, E. V., Ahmed, M. Z. & Welch, J. J. The incidence of bacterial endosymbionts in terrestrial arthropods. Proc. R. Soc. B. 282, 20150249 (2015).
Sazama, E. J., Bosch, M. J., Shouldis, C. S., Ouellette, S. P. & Wesner, J. S. Incidence of Wolbachia in aquatic insects. Ecol Evol. 7, 1165–1169 (2017).
Sazama, E. J., Ouellette, S. P. & Wesner, J. S. Bacterial endosymbionts are common among, but not necessarily within, insect species. Environ. Entomol. 48, 127–133 (2019).
Zug, R. & Hammerstein, P. Bad guys turned nice? A critical assessment of Wolbachia mutualisms in arthropod hosts. Biol Rev. 90, 89–111 (2015).
Duron, O. & Hurst, G. D. D. Arthropods and inherited bacteria: from counting the symbionts to understanding how symbionts count. BMC Biology. 11, 45 (2013).
Frydman, H. M., Li, J. M., Robson, D. N. & Wieschaus, E. Somatic stem cell niche tropism in Wolbachia. Nature. 441, 509–512 (2006).
Correa, C. C. & Ballard, J. W. O. Wolbachia associations with insects: winning or losing against a master manipulator. Frontiers in Ecology and Evolution. 3, 153 (2016).
Bailly-Bechet, M. et al. How long does Wolbachia remain on board? Mol Biol Evol. 34(5), 1183–1193 (2017).
Dale, C. & Moran, N. A. Molecular interactions between bacterial symbionts and their hosts. Cell. 126, 453–456 (2006).
Raychoudhury, R., Baldo, L., Oliveira, D. C. S. G. & Werren, J. H. Modes of adquisition of Wolbachia: horizontal transfer, hybrid introgression and codivergence in the Nasonia species complex. Evolution. 63, 165–183 (2009).
Engelstädter, J. & Hurst, G. D. D. The dynamics of parasite incidence across host species. Evolutionary Ecology. 20(6), 603–616 (2006).
Telschow, A., Hammerstein, P. & Werren, J. H. The effect of Wolbachia versus genetic incompatibilities on reinforcement and speciation. Evolution. 59(8), 1607–1619 (2005).
Breeuwer, J. A. & Werren, J. H. Microorganisms associated with chromosome destruction and reproductive isolation between two insect species. Nature. 346(6284), 558–60 (1990).
Bordenstein, S., O’Hara, P. & Werren, J. H. Wolbachia-induced incompatibility precedes other hybrid incompatibilities in Nasonia. Nature. 409, 707–710 (2001).
Donnelly, T. W. The Fijian genus Nesobasis Part 1: Species of Viti Levu, Ovalau, and Kadavu (Odonata: Coenagrionidae). New Zealand Journal of Zoology. 17, 87–117 (1990).
Jordan, S., Simon, C. & Polhemus, D. Molecular systematics and adaptive radiation of Hawaii’s endemic damselfly genus Megalagrion (Odonata: Coenagrionidae). Systematic Biology. 52, 89–109 (2003).
Jordan, S., Simon, C., Foote, D. & Englund, R. A. Phylogeographic patterns of Hawaiian Megalagrion damselflies (Odonata: Coenagrionidae) correlate with Pleistocene island boundaries. Molecular Ecology. 14, 3457–3470 (2005).
Polhemus, D. A. Phylogenetic analysis of the Hawaiian damselfly genus Megalagrion (Odonata: Coenagrionidae): Implications for biogeography, ecology, and conservation biology. Pacific Science. 51, 395–412 (1997).
Donnelly, T. W. Melanesobasis gen. nov., a new genus of Fijian damselflies: A possible link between the platycnemidid Lieftinckia and certain coenagrionids (Zygoptera). Odonatologica. 13, 89–105 (1984).
Van Gossum, H. et al. Male rarity and putative sex- role reversal in Fijian damselflies (Odonata). Journal of Tropical Ecology. 23, 591–598 (2007).
Beatty, C. D. et al. Biogeography and systematics of endemic island damselflies: The Nesobasis and Melanesobasis (Odonata: Coenagrionidae) of Fiji. Ecology & Evolution. 7(17), 7117–7129 (2017).
McPeek, M. A. The macroevolutionary consequences of ecological differences among species. Palaeontology. 50, 111–129 (2007).
McPeek, M. A. The ecological dynamics of clade diversification and community assembly. The American Naturalist. 172, E270–E284 (2008).
Salunkhe, R. C. et al. Distribution and molecular characterization of Wolbachia endosymbionts in Odonata (Insecta) from Central India by multigene approach. Current Science. 108(5), 971–978 (2015).
Hurst, G. D. & Jiggins, F. M. Problems with mitochondrial DNA as a marker in population, phylogeographic and phylogenetic studies: the effects of inherited symbionts. Proc. Biol. Sci. 272, 1525–1534 (2005).
Werren, J. H. & Windsor, D. M. Wolbachia infection frequencies in insects: evidence of a global equilibrium? Proc Biol Sci. 267(1450), 1277–1285 (2000).
Hilgenboecker, K. et al. How many species are infected with Wolbachia? a statistical analysis of current data. FEMS Microbiol. Lett. 281, 215–220 (2008).
Narita, S., Shimajiri, Y. & Nomura, M. Strong cytoplasmic incompatibility and high vertical transmission rate can explain the high frequencies of Wolbachia infection in Japanese populations of Colias erate poliographus (Lepidoptera: Pieridae). Bulletin of Entomological Research. 99, 385–391 (2009).
Brown, A. N. & Lloyd, V. K. Evidence for horizontal transfer of Wolbachia by a Drosophila mite. Exp Appl Acarol. 66(3), 301–311 (2015).
Corbet, P. S. Dragonflies: Behaviour and Ecology of Odonata. 829 pp (Harley Books, Colchester, UK, 2004).
Zhou, W., Rousset, F. & O’Neill, S. Phylogeny and PCR–based classification of Wolbachia strains using wsp gene sequences Proc. R. Soc. Lond. B. 265, 509–515 (1998).
Baldo, L. et al. Multilocus sequence typing system for the endosymbiont Wolbachia pipientis. Appl Environ Microbiol. 72(11), 7098–110 (2006).
Kearse, M. et al. Geneious Basic: an integrated and extendable desktop software platform for the organization and analysis of sequence data. Bioinformatics. 28(12), 1647–1649 (2012).
Jolley, K. A., Chan, M. S. & Maiden, M. C. J. mlstdbNet-Distributed multi-locus sequence typing (MLST) databases. BMC Bioinformatics. 5, 86 (2004).
Dijkstra, K.-D. B., Kalkman, V. J., Dow, R. A., Stokvis, F. R. & Van Tol, J. Redefining the damselfly families: a comprehensive molecular phylogeny of Zygoptera (Odonata). Systematic Entomology. 39(1), 68–96 (2004).
Ferreira, S. et al. New EPIC nuclear DNA sequence markers to improve the resolution of phylogeographic studies of coenagrionids and other odonates. International Journal of Odonatology. 17, 135–147 (2014).
Folmer, O., Black, M., Hoeh, W., Lutz, R. & Vrijenhoek., R. DNA primers for amplification of mitochondrial cytochrome c oxidase subunit I from diverse metazoan invertebrates. Molecular Marine Biology and Biotechnology. 3(5), 294–299 (1994).
Dmitriev, D. A. & Rakitov, R. A. Decoding of superimposed traces produced by direct sequencing of heterozygous indels. PLoS Comput. Biol. 4(7), e1000113 (2008).
Thompson, J. D., Higgins, D. G. & Gibson, T. J. CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice. Nucleic Acids Res. 22, 4673–4680 (1994).
Didelot, X. & Falush, D. Inference of bacterial microevolution using multilocus sequence data. Genetics. 175(3), 1251–1266 (2007).
Gelman, A. & Rubin, D. B. Inference from iterative simulation using multiple sequences. Statist. Sci. 7(4), 457–472 (1992).
Stamatakis, A. RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models. Bioinformatics. 22, 2688–2690 (2006).
Ronquist, F. et al. MrBayes 3.2: Efficient Bayesian phylogenetic inference and model choice across a large model space. Systematic Biology. 61(3), 539–542 (2012).
Darriba, D., Taboada, G. L., Doallo, R. & Posada, D. jModelTest 2: more models, new heuristics and parallel computing. Nature Methods. 9(8), 772 (2012).
Guindon, S. & Gascuel, O. A simple, fast and accurate method to estimate large phylogenies by maximum-likelihood. Systematic Biology. 52, 696–704 (2003).
Legendre, P., Desdevises, Y. & Bazin, E. A statistical test for host-parasite coevolution. Systematic Biology 51, 217–34 (2002).
Balbuena, J. A., Míguez-Lozano, R. & Blasco-Costa, I. PACo: a novel Procrustes application to cophylogenetic analysis. PlosOne. 8, e61048 (2013).
Conow, C., Fielder, D., Ovadia, Y. & Libeskind-Hadas, R. Jane: A new tool for the cophylogeny reconstruction problem. Algorithms in Molecular Biology. 5, 16 (2010).
Kumar, S., Stecher, G., Li, M., Knyaz, C. & Tamura, K. MEGA X: Molecular Evolutionary Genetics Analysis across computing platforms. Molecular Biology and Evolution. 35, 1547–1549 (2018).
R Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria, https://www.R-project.org/ (2018).
Hutchinson, M. C., Cagua, E. F., Balbuena, J. A., Stouffer, D. B. & Poisot, T. paco: implementing Procrustean Approach to Cophylogeny in R. Methods in Ecology and Evolution. 8, 932–940 (2017).
Paradis, E., Claude, J. & Strimmer, K. APE: analyses of phylogenetics and evolution in R language. Bioinformatics. 20, 289–290 (2004).
Caporaso, J. G. et al. QIIME allows analysis of high-throughput community sequencing data. Nature Methods 7, 335–336 (2010).
Funding was provided by the National Geographic Society Committee for Research and Exploration; NSERC Discovery grants toTNS; the International Dragonfly Fund; Carleton University and grants from the Spanish Ministry with competence in Science, including FEDER funds to ACR (CGL2008-02799, CGL2014-53140-P). MOLC was supported by a Marie Curie Fellowship (PIEF-GA-2013-626504) during her stay at the University of Liverpool. HVG was a postdoctoral fellow with the Fund for Scientific Research-Flanders and the University of Antwerp at the time of the research. We are grateful to Nick Donnelly for his knowledge and expertise in Nesobasis and Melanesobasis taxonomy, and in South Pacific odonates in general. Nick Donnelly and Dan Polhemus helped to identify Nesobasis and Melanesobasis species. Marika Tuiwawa, Hilda Waqa Sakiti, and the Ministry of Fisheries and Forests of Fiji, gave permission to collect and study damselfly specimens and provided logistical support. Akanisi Caginitoba and Moala Tokota’a (Wildlife Conservation Society), and Kathleen Harding helped also with logistics and fieldwork.
The authors declare no competing interests.
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