Abstract
Facultative symbionts are common in insects and can provide their hosts with significant adaptations. Yet we still have a limited understanding of what shapes their distributions, such as why particular symbiont strains are common in some host species yet absent in others. To address this question, we genotyped the defensive symbiont Hamiltonella defensa in 26 aphid species that commonly carry this microbe. We found that Hamiltonella strains were strongly associated with specific aphid species and that strains found in one host species rarely occurred in others. To explain these associations, we reciprocally transferred the Hamiltonella strains of three aphid species, Acyrthosiphon pisum, Macrosiphoniella artemisiae and Macrosiphum euphorbiae, and assessed the impact of Hamiltonella strain on: the stability of the symbiosis, aphid fecundity and parasitoid resistance. We demonstrate that the Hamiltonella strains found in nature are locally adapted to specific aphid hosts, and their ecology: aphids tend to carry Hamiltonella strains that are efficiently transmitted to their offspring, non-lethal, and that provide strong protection against their dominant parasitoid species. Our results suggest that facultative symbiont distributions are shaped by selection from natural enemies, and the host itself, resulting in locally adapted symbioses that provide significant benefits against prevailing natural enemies.
Keywords: defensive symbiosis, Hamiltonella defensa, parasitoid, local adaptation
1. Introduction
Many insects harbour intracellular bacteria that profoundly influence their biology. This includes ancient obligate associations where the symbionts provide insects with essential nutrients and are strictly vertically transmitted through the host matriline. More widespread are heritable facultative symbionts, which are not essential for host survival but can provide important benefits such as expanding their hosts' diet breadth, or conferring resistance to natural enemies, heat stress and even pesticides [1–3]. Facultative symbionts can horizontally transfer between host lineages [4,5] and are often strongly non-randomly associated with particular host species or populations [6–9]. This raises the question of what factors determine the distribution of facultative symbionts across host species. One hypothesis is that insects tend to harbour facultative symbionts that are adapted to the ecological niche in which they reside, thus providing the insect with niche specific benefits.
A common benefit provided by facultative symbionts is protection against natural enemies, such as nematodes, pathogenic fungi, viruses and parasitoids [10–14]. It has been hypothesized that pressures from natural enemies may shape the distribution of protective symbionts across host species. If this were true, facultative symbionts may function in an analogous manner to a horizontal gene pool from which insects can sample to rapidly adapt to changing pressures from natural enemies. However, physiological barriers to the horizontal transmission of facultative symbionts have also been identified [15,16], which may limit their spread.
One of the most extensively studied models for defensive symbiosis is the association between aphids and the facultative symbiont Hamiltonella defensa. Hamiltonella is known for being able to protect aphids from parasitoid wasp attack using toxins that are encoded on a phage that is integrated into the symbiont's genome [4,17,18]. However, in certain aphid species, Hamiltonella can also be costly by decreasing host lifespan and increasing mortality [19,20]. Furthermore, it was shown that Hamiltonella genotypes differentially protect against different parasitoid species attacking aphids [15,21]. This opens the possibility that Hamiltonella distributions across aphid species may at least in part be shaped by parasitoids: aphids might host the Hamiltonella genotypes that are most efficient at protecting them against their most common natural enemies. However, the extent to which different selective pressures contribute to the genetic structure of Hamiltonella across host species is currently unknown. To address this question, we genotyped the Hamiltonella strains in 412 aphids from 26 species using six housekeeping genes.
Our survey revealed that Hamiltonella genotypes are not randomly distributed across aphid species, but rather form strong associations with particular host species. These patterns can be generated by differential retention of aphid–Hamiltonella associations that are formed by horizontal transfer. If the aphid–Hamiltonella association is initially suboptimal they can evolve towards optimality through selection on hosts to retain, tolerate and maternally transmit symbionts that increase their fitness. Alternatively, selection can act on the symbionts themselves, favouring microbes that spread within their hosts, are more efficiently transmitted, and provide benefits that increase both host and symbiont frequency in subsequent generations. Irrespective of the relative strength of these different selective processes, we predict that Hamiltonella strains are locally adapted to specific aphid species and that this adaptation manifests itself as the symbiont's ability to be efficiently maternally transmitted and to contribute positively to its host's fitness. To test this hypothesis, we experimentally manipulated the infections status of three aphid species—Acyrthosiphon pisum, Macrosiphoniella artemisiae and Macrosiphum euphorbiae—that harbour specific Hamiltonella strains using reciprocal transfection. We then measured traits that we expect to be crucial to the evolutionary success of aphid–Hamiltonella associations: the efficiency with which the symbiont is maternally transmitted and its impact on host fecundity and resistance to parasitoid attacks.
2. Results
(a) . Hamiltonella–aphid associations are not random
We found that Hamiltonella genotypes are strongly non-randomly distributed among aphid species (figure 1). This is similar to what has been observed in the pea aphid, A. pisum, which is a complex of genetically differentiated plant-adapted ‘biotypes' that also host-specific Hamiltonella genotypes [7]. In figure 1, we have included the major Hamiltonella lineages found in the A. pisum complex (identified in [7]) to show how they are related to Hamiltonella genotypes found in other aphid species, as well as to show the phylogenetic placement of our experimental lines (i.e. Ap1 and Ap2). The A. pisum data are not included in our analyses. We analysed the importance of Hamiltonella genotype, aphid species, aphid and Hamiltonella phylogeny, and the interactions between these variables, in explaining the symbionts distribution across aphid species (electronic supplementary material, table S1). The only factor explaining the presence of Hamiltonella was the host and symbiont co-phylogeny (Bayesian general linear model (BPMM): posterior mode = 0.56, credible interval = 0.16–0.92; electronic supplementary material, table S1). This means that related aphid species tend to harbour a small number of related Hamiltonella genotypes. An example of this can be seen in the genus Macrosiphum (figure 1), where all species sampled were predominantly associated with a single clade of Hamiltonella, with one dominant genotype.
(b) . Mechanisms explaining Hamiltonella–aphid associations
To study the factors shaping host–symbiont associations, we focused on three aphid species (two clones each) that maintain strong relationships with specific Hamiltonella genotypes: Macrosiphoniella artemisiae, Macrosiphum euphorbiae and the Medicago biotype of A. pisum. We studied four Hamiltonella strains: Ma is found exclusively in M. artemisiae; Me is the dominant strain associated with M. euphorbiae and all other Macrosiphum species surveyed; and Ap1 and Ap2 from A. pisum, one from each of the two major clades of Hamiltonella associated with the Medicago biotype (identified in [7]) (figure 1). To determine why each aphid species tends to harbour the Hamiltonella genotype(s) it does, rather than one of the genotypes found in the other species, we experimentally established aphid clones of each species carrying, its native Hamiltonella genotype(s), and those from other aphid species (i.e. non-native genotypes). We then assessed the impact of each Hamiltonella genotype–aphid species combination on (i) the frequency the symbiont is passed to offspring (i.e. stability of maternal transmission), (ii) the fecundity of aphids, and (iii) protection against the parasitoid most commonly attacking the aphid species in nature. The reciprocal crosses resulted in 30 aphid clone–Hamiltonella genotype treatments: three aphid species * two clones * five infection status (four Hamiltonella strains + one Hamiltonella-negative line) (figure 2). We found very little difference between clones of the same species so results from both clones are presented and discussed together (results on individual clones can be found in the electronic supplementary material). All lines were confirmed to carry Hamiltonella both before and after experiments by testing sibling aphids using diagnostic PCR (see methods).
(c) . Hamiltonella–aphid associations can be unstable and lethal to hosts
First, we assessed the stability of each experimentally established Hamiltonella–aphid combination by determining how often the symbiont is maternally transmitted to offspring. To do this, we tested for the presence of Hamiltonella in at least three offspring per newly infected female line for at least five generations using diagnostic PCR.
Overall, we find that native associations are more viable, in that they are less prone to symbiont loss or aphid lethality, than non-native ones (, p < 0.001).
Out of the 12 (24 including both clones) Hamiltonella–aphid species associations, three (six including both clones) were found to be unstable, in that the symbiont was not perfectly transmitted to offspring (figure 3; electronic supplementary material, table S2). In these cases, Hamiltonella was often rapidly lost from the clonal line: by generation 5, 100% (16/16) of M. euphorbiae lines injected with the Hamiltonella strain Ap2 had been lost (when analysing symbiont strain by host species interactions, Ap2 was found to be significantly less efficiently transmitted than the native Me strain: z = 3.2, p = 0.022). Similarly, Hamiltonella strain Ma was lost in both A. pisum (10/21 = 48%) and M. euphorbiae (6/13 = 46%) by generation 5 (though in these cases, the differences with the native strains were not statistically significant: z = 2.0, p = 0.446 and z = −1.9, p = 0.505, respectively). In all other combinations, no Hamiltonella losses were observed (see electronic supplementary material, table S3 for full results).
In two additional associations, Hamiltonella strains Ap1 and Ap2 injected into M. artemisiae, symbionts were not lost, but rather led to early host death and a high rate of line extinction (red triangles in figure 3; electronic supplementary material, table S2): within two generations after the injection, 76% (16/21) of Ma clones infected with Ap1 (compared to the native Ma strain: z = −2.7, p = 0.091) and 50% (8/16) of those infected with Ap2 (compared to the native Ma strain: z = −2.4, p = 0.195), died. All Ap1-M. artemisiae and Ap2-M. artemisiae lines were extinct by generations 6 and 8, respectively. All unstable aphid–Hamiltonella associations, and those that cause increased host mortality, were not normally found in nature (i.e. non-native associations) (figure 3; electronic supplementary material, table S2).
(d) . Infection status impacts fecundity
We then assessed the impact of infection status on aphid fecundity (figure 4). All fecundity assays were only conducted on a single clone per aphid species (Mug3 in M. artemisiae, PotG in M. euphorbiae, ApY in A. pisum). The nature of the association had an effect on fecundity (, p = 0.016): it was significantly higher in native associations than in non-native associations (z = 2.4, p = 0.044). There was a tendency for cured aphids to have a higher fecundity than aphids infected with non-native strains (z = −2.2, p = 0.067), and no difference between cured aphids and aphids infected with native strains (z = −0.9, p = 0.630).
Analysing symbiont strain by host species interactions revealed that Hamiltonella infections status had a significant impact on the fecundity of M. artemisiae but not the other two aphid species (electronic supplementary material, table S3): cured M. artemisiae individuals had a higher fecundity than those infected with Ma (z = 4.2, p < 0.001), Ap1 (z = −11.7, p < 0.001), Ap2 (z = −7.4, p < 0.001) and Me (z = 7.6, p < 0.001). Ap1 had a particularly detrimental effect, as it significantly reduced fecundity compared to the native Ma strain (z = −7.1, p < 0.001) (figure 4). Both Ap1 and Ap2 eventually led to line extinction when carried by M. artemisiae (red triangles, bottom left panels of figure 3).
(e) . Infection status impacts resistance against parasitoids
We tested whether aphids are associated with Hamiltonella strains in nature that provide high degrees of protection against the parasitoid species that most commonly attack them. To test this hypothesis, we first surveyed the parasitoid species attacking the three aphid species used in this study. Second, we assessed the capacity of each Hamiltonella strain to protect aphids against the parasitoid species most commonly attacking them in the UK.
A total of 238 aphid–parasitoid associations were identified (table 1; electronic supplementary material, tables S4–S6) using a combination of deep-coverage barcoding of aphid mummies and Sanger sequencing of parasitoids that emerged from morphologically identified aphids. All three aphid species in our study were predominantly attacked by a single parasitoid species: Aphidius absinthii in M. artemisiae (100%), Aphidius ervi in A. pisum (89%) and Aphidius rhopalosiphi in M. euphorbiae (67%). One parasitoid species, A. ervi, was found to attack both A. pisum and M. euphorbiae at lower frequencies (11%).
Table 1.
aphid species | parasitoid species | Illumina | Sanger | total | proportion |
---|---|---|---|---|---|
2019–2022 | |||||
Macrosiphoniella artemisiae (n = 80) sampling sites = 6 | Aphidius absinthii | 6 | 74 | 80 | 100.0%* |
Macrosiphum euphorbiae (n = 66) sampling sites = 8 | Aphidius ervi | 7 | 7 | 10.61% | |
Aphidius matricariae | 2 | 2 | 3.03% | ||
Aphidius rhopalosiphi | 30 | 5 | 35 | 53.03% | |
Ephedrus californicus | 4 | 4 | 6.06% | ||
Ephedrus lacertosus | 1 | 1 | 1.52% | ||
Praon volucre | 3 | 3 | 4.55% | ||
Praon spp. | 4 | 5 | 9 | 13.64% | |
Aphidius rosae | 2 | 2 | 3.03% | ||
Areopraon silvestre | 1 | 1 | 1.52% | ||
Monoctonus leclanti | 1 | 1 | 1.52% | ||
Toxares deltiger | 1 | 1 | 1.52% | ||
Acyrthosiphon pisum (Medicago) (n = 92) sampling sites = 5 | Aphidius banksae | 12 | 12 | 13.04% | |
Aphidius ervi | 72 | 72 | 78.26%* | ||
Aphidius eadyi | 1 | 1 | 1.09% | ||
Aphidius rhopalosiphi | 1 | 1 | 1.09% | ||
Aphidius microlophii | 3 | 3 | 3.26% | ||
Praon barbatum | 3 | 3 | 3.26% |
We experimentally tested the impact of Hamiltonella status on resistance against parasitoids, by exposing each aphid species to the dominant parasitoid species attacking it. In general, we found that the nature of the association had a significant effect on parasitoid resistance (, p < 0.001): native host–symbiont pairing provided greater protection from parasitoids than non-native associations (z = 9.8 p < 0.001). There was no difference, however, between cured aphids and their native associations (z = 1.4, p = 0.324) or cured and non-native associations (z = 0.5, p = 0.873).
Analysing aphid–parasitoid pairs individually revealed that Hamiltonella infection status had a significant effect on mummification rate in all three cases: M. artemisiae-A. absinthii (, p < 0.001), M. euphorbiae-A. rhopalosiphi (, p < 0.001) and A. pisum-A. ervi (, p < 0.001). All cured aphids were highly vulnerable to attack by their dominant parasitoid, as shown by mummification rates close to 1 (figure 5; electronic supplementary material, figure S1 for individual clones). When comparing the protection conferred by different symbiont strains, we found that in three of four cases, the native Hamiltonella genotype(s) provided the greatest degree of protection against the aphids' dominant parasitoid: compared to other symbiont strains, Ma provided M. artemisiae with the highest degree of protection against A. absinthii (z = 8.7, p < 0.001), and both Ap1 and Ap2 protected A. pisum against its common parasitoid A. ervi (Ap1: z = −11.8, p < 0.001, Ap2: z = −2.9, p = 0.032), although one strain (Ap1) provided significantly greater protection (z = −13.7, p < 0.001). By contrast, Me, the Hamiltonella strain most commonly found in M. euphorbiae, did not provide its host with any protection against A. rhopalosiphi. In M. euphorbiae, only the A. pisum derived Ap1 (z = −13.1, p < 0.001) provided protection against the parasitoid A. rhopalosiphi. In fact, the Me Hamiltonella genotype did not provide protection against any parasitoid in any of the host backgrounds (see electronic supplementary material, table S3 for full results).
3. Discussion
(a) . Explaining the non-random genetic structure of Hamiltonella
Our survey revealed that aphid species tend to form strong relationships with a single, or a few closely related, Hamiltonella strain(s). This is similar to what has been observed in pea aphid biotypes, where the plant-adapted aphids feeding on Lotus, Medicago and Ononis/Melilotus carry specific strains of Hamiltonella [7]. We also find intermittent cases where the same Hamiltonella genotype is carried by unrelated host species, which support previous finding that the symbiont is occasionally horizontally transferred between species [4]. This suggests that a combination of horizontal transfer and selection explains the observed patterns of Hamiltonella infections across aphid species. It has been proposed that the facultative symbiont distributions of aphids may be the by-product of selection in response to attack by natural enemies [14], seasonal changes [22] and cost-benefit trade-offs [15,23,24]. However, the mechanisms explaining the strong genetic structure of Hamiltonella strains across aphid species have not been explored until now.
Overall, we found that native aphid–Hamiltonella associations were more stable, less costly to host fecundity, and provided greater protection against parastioids, compared to non-native ones. In nearly all combinations not normally found in nature, the symbiont strain was poorly adapted to either the aphid species or to the most common parasitoid species attacking the aphid. More specifically, we identified three selective filters that play a role in shaping the natural patterns of Hamiltonella infections across host species: (i) symbiosis instability, (ii) host lethality and (iii) lack of protection against the most common parasitoid of the host (summarized in figure 6). In the case of the A. pisum-Ma association, both instability and lack of protection apply. By contrast, in native associations, the symbionts were always both efficiently vertically transmitted, avirulent, and in most cases, offered significant protection against the insects' most common parasitoid enemy. This demonstrates that Hamiltonella genotypes tend to be locally adapted to an aphids' internal and external environment, i.e. to the aphid (host–symbiont genotype–genotype interaction) and to the aphid's ecology (selection from parasitoids).
(b) . Adaptation to internal factors
We assessed the compatibility of host–symbiont combinations by testing how reliably they transmit Hamiltonella to their offspring, and the fitness effects of different symbiont strains. Instability and lethality phenotypes were relatively consistent within clones of the same species, which suggests Hamiltonella genotypes were incompatible with certain host species (electronic supplementary material, table S2).
Studies on pea aphids have shown that facultative symbionts are more frequently lost during maternal transmission when transferred between host biotypes [25,26]. The probability of losses has also been shown to be influenced by the relatedness of host species [27–29]. We found that all native host–symbiont combinations were perfectly maternally transmitted under laboratory conditions. Similar results have been cited for pea aphids; however, in other aphid species, such as in Aphis craccivora, maternal transmission of Hamiltonella is high but imperfect [30–32]. Imperfect transmission of facultative symbionts may also be exacerbated during sexual reproduction [33], and impacted by abiotic changes, such as temperature fluctuations [34].
Carrying facultative symbionts can also be costly in some host species, as a result of consuming a portion of the host's resources [20,24,35], or possibly through competing with Buchnera, the primary symbiont. However, cases of very strong virulence such as the ones we observed (Ap1 and Ap2 in M. artemisiae) have rarely been reported. Our findings are consistent with a previous study showing that Hamiltonella can be highly deleterious in Aphis fabae, with a decrease in fecundity up to 80% in certain host–symbiont genotype combinations [36]. As with previous studies, we find that A. pisum can harbour diverse Hamiltonella strains with few costs to fecundity [37,38], and M. euphorbiae followed a similar trend [39], possibly even exhibiting a marginal, yet not significant, increase in fecundity when carrying Hamiltonella. Although previously thought to be largely benign, our results support the growing evidence that Hamiltonella infections can exhibit a wide range of effects on hosts—from benign to strongly virulent—with the outcome being determined by specific host by symbiont strain interactions. Taken together, these results suggest the host–symbiont associations found in aphids are the product of coevolution for decreased symbiont virulence and increased stability of maternal transmission. Furthermore, our results indicate that host–symbiont genetic incompatibilities are a major factor dictating the retention of symbiont genotypes across aphid species.
(c) . Adaptation to external factors
Parasitoids are common natural enemies of aphids, and therefore a strong selective pressure for the evolution of resistance. Previous studies have shown that Hamiltonella strains provide specific protection against two distantly related species of parasitoids, Aphidius ervi and Aphelinus abdominalis [21]. Given that parasitoids tend to be highly host-specific [40], we hypothesized that they may be a major force shaping protective symbiont genotype distributions across aphid species. We found that aphids tend to harbour Hamiltonella strains that provide them with at least some, to strong, levels of protection against the most common parasitoid species attacking them [1,41]. This supports our hypothesis that selection from parasitoids has resulted in aphids tending to carry symbiont strains that provide them with protection. Furthermore, we found that Hamiltonella strains can provide highly specific protection even against closely related parasitoid species. For example, the Ma strain of Hamiltonella provided protection against A. absinthii, but not A. ervi, which are both Aphidius parasitoids.
In some cases, different aphid species share the same Hamiltonella genotype. This is most prominent in the Macrosiphum genus but can also occurred in more distantly related species, such as A. pisum and Periphyllus lyropictus. It is currently unclear why aphid species share the same Hamiltonella stains in some cases, but not in others. It would be interesting to know whether aphids that share Hamiltonella strains also share the same parasitoids, and potentially use the symbiont strain as a common resource to protect against the same natural enemy.
Our results suggest that parasitoids are an important selective pressure shaping the distribution of Hamiltonella genotypes found in nature. Future studies could test whether pressures from natural enemies are responsible for the genetic structuring of defensive symbionts in other systems. For example, in pea aphids, the Hamiltonella strains occurring in different biotypes may be the product of selection from different parasitoid species, or perhaps populations within a species, that are adapted to attacking the different aphid biotypes.
(d) . Puzzling associations
For the most part, our results help explain why some aphid–Hamiltonella associations are found in nature and not others. However, the association of M. euphorbiae with Me, rather than Ap1, remains puzzling. Both strains are apparently well suited to the aphid, as they are both stable and avirulent, but contrary to Ap1, Me is not able to protect M. euphorbiae against A. rhopalosiphi, which is a common parasitoid attacking the aphid (a similar result was reported in Aphis craccivora [42]). As noted above, vertical transmission rates may differ in nature versus laboratory conditions, and this may help explain why Ap1 is not hosted by M. euphorbiae, if Ap1 is not effectively transmitted to offspring in nature. Alternatively, its absence in M. euphorbiae could be explained by the lack of opportunities for horizontal transfers to this host, or it may be an inferior intra-host competitor to the Me strain. However, the prevalence of Me in M. euphorbiae (and other Macrosiphum species) at such high frequencies (figure 1) is in itself surprising, as we did not find evidence for any benefit conferred to its host.
Macrosiphum euphorbiae tends to be attacked by a greater diversity of parasitoid species and is associated with more Hamiltonella strains than the other aphid species. The lack of protection conferred by Me is therefore arguably less surprising than in a species consistently attacked by only one parasitoid species (such as M. artemisiae). First, based on collections mostly performed on Geum spp. and Gallium aparine (electronic supplementary material, tables S4 and S5), we found that M. euphorbiae was most commonly attacked by A. rhopalosiphi. However, it is possible that on other plants, M. euphorbiae is attacked by different parasitoids that Me protects against. The rate at which aphids are targeted by a given parasitoid has been shown to vary depending on the host plant [43] For example, M. euphorbiae feeding on pepper plants in Spain are more commonly attacked by Aphidius colemani, Praon volucre and Aphidius matricariae [44], whereas in North America potato farms, it is primarily attacked by Aphidius nigripus [45]. Second, M. euphorbiae can harbour several related Hamiltonella strains, and we only tested one of them (the most common, according to our survey). It is possible that other strains provide protection against A. rhopalosiphi. As a result, we cannot exclude the possibility that the Hamiltonella association found in M. euphorbiae is, to some extent, influenced by symbiont-parasitoid associations that we did not test in our study.
The M. euphorbiae-Me association might also be explained by adaptation to external factors unrelated to parasitoids. It might, for example, protect against non-parasitoid natural enemies, e.g. lady beetles, as reported in [46], or suppress the immune system of host plants [47]. It is therefore possible that although Me did not seem to improve M. euphorbiae performance on broad beans, it may increase its fecundity on other host plant species, including its native host plant Gallium.
4. Conclusion
We have shown that aphid species tend to host specific strains of facultative symbionts. These patterns persist despite ongoing horizontal transmission of Hamiltonella, which can be seen through the same symbiont genotypes occurring at low frequencies in different host species. When challenged with parasitoids, we find that the symbiont strain an aphid carries is typically well suited to protect against the parasitoid species most commonly attacking them. Attack frequencies from parasitoids may therefore impose an initial selective pressure that results in aphids being associated with symbiont strains that confer strong protection. However, we also find that the host itself imposes a strong selective pressure on symbionts; 5 of 8 non-native host–symbiont combinations were either unstable or lethal to the host. This demonstrates that despite ongoing horizontal transfer, many novel aphid–Hamiltonella will simply be lost due to instability. However, in some cases, non-native host–symbiont combinations formed stable, avirulent, beneficial symbioses (e.g. Ap1 in M. euphorbiae), and not all unstable combinations were immediately lost; only a fraction of injected lines actually lost Hamiltonella while others persisted for generations. It is possible that in some cases, novel symbiont combinations such as these eventually stabilize over a period of coevolution and are retained in populations resulting in strong associations between aphid species and specific symbiont strains. This is particularly likely in scenarios where the benefit of retaining the symbiont for parasitoid protection outweighs the cost of carrying it. It has been suggested that facultative symbionts may function as a horizontal gene pool that insects can draw from to adapt to changing environments. Although the rate of horizontal transfer of Hamiltonella is currently unknown, our findings support the potential for rapid adaptation through symbiont acquisition; despite not occurring in M. euphorbiae, the Ap1 strain of Hamiltonella efficiently protects against its main parasitoid, A. rhopalosiphi. As parasitoid frequencies change over time, these genotypes, if protective, might allow for rapid adaptation and approach fixation. Taken together, our results provide strong support for the local adaptation of aphid species and specific Hamiltonella strains and suggest that changes in pressure from parasitoids may be rapidly addressed by the acquisition of new symbiont strains.
5. Material and methods
(a) . Patterns of Hamiltonella–aphid associations
(i) . Aphid collection and identification
Aphids were collected in the UK between 2011 and 2019 by beating plants over a white tray or manually removing them from plants, before being placed in 100% ethanol. Resampling of the same aphid clones was minimized by separating collections from the same plant species by at least 10 m. Aphids were identified by DNA barcoding based on data from [48] and confirmed using morphological examination following [49]. Genomic DNA was extracted from individual specimens using DNeasy Blood and Tissue kits (QIAGEN, Venlo, Netherlands) and then we amplified an approximately 700 bp DNA fragment of the cytochrome c oxidase I (COI) mitochondrial gene from the DNA using the Lep F and Lep R primers. We sequenced the amplicons in the forward direction (full details of PCR conditions and primer sequences are provided in electronic supplementary material, table S7). DNA sequences were aligned with MUSCLE (https://www.ebi.ac.uk/Tools/msa/muscle/). Aphids were identified to species by comparing COI sequence data to the online databases BOLD (http://www.boldsystems.org/) and GenBank using BLAST. Information on collected aphids are provided in electronic supplementary material, table S8.
(b) . Hamiltonella screening and genotyping
Hamiltonella was detected using diagnostic PCR based on the 16S ribosomal RNA gene (electronic supplementary material, table S7) amplified from the whole body aphid DNA extracts. Genotyping was performed using a multilocus sequence-typing (MLST) scheme containing six bacterial housekeeping genes: accD, gyrB, hrpA, murE, recJ and rpoS [50]. PCR products were Sanger-sequenced in the forward direction, and aligned using MUSCLE (https://www.ebi.ac.uk/Tools/msa/muscle/).
(i) . Phylogenetic reconstruction
Host (COI) and symbiont (MLST) phylogenies were reconstructed using PhyML 3.0 (http://www.atgc-montpellier.fr/phyml/) with 100 standard bootstrap analysis and otherwise default parameter values. Adelges cooleyi and a Hamiltonella strain of Bemisia tabaci were used as outgroups in the host phylogeny and the symbiont phylogeny, respectively.
(ii) . Bayesian general linear modelling
We used BPMMs with Markov Chain Monte Carlo (MCMC) estimation run in the mixed model package MCMCglmm [51] in R v. 4.2.0 [52]. The occurrence and non-occurrence of Hamiltonella–aphid combinations were fitted as a binomial response variable. Hamiltonella genotype, aphid species, genotype-species interaction, Hamiltonella phylogeny, aphid phylogeny and Hamiltonella–aphid cophylogeny were included as random explanatory variables.
The MCMC was run for ten million iterations with a thinning interval of 225 and a ‘burn in' of 100 000. Convergence of the chains was confirmed by visual inspection of the trace plots. We present the results as the posterior modes (PM) with the 95% credible intervals of the estimate.
(c) . Maintenance of aphid lines and experiments
(i) . Establishment of aphid lines
Aphids belonging to three different species (A. pisum, M. artemisiae, M. euphorbiae) were collected live in the field. Three clonal lines per species were established. Secondary symbionts infection statuses of all aphid clones were tested by 16 s rRNA PCR (electronic supplementary material, table S7). They were found to be positive for Hamiltonella, but negative for Serratia symbiotica, Fukatsuia symbiotica, Rickettsia sp., Rickettsiella sp., Spiroplasma sp. and Regiella insecticola. Aphids cured of Hamiltonella using selective antibiotics served as ‘recipients’ for transfection. Clonal lines carrying each Hamiltonella strain of interest were retained as symbiont ‘donors' for artificial transfections. Clonal lines of aphids were maintained in the laboratory at 15°C with a 16 h light (Sylvania Gro-Lux F36W/GRO-T8 bulb) 8 h dark cycle on a leaf of Vicia faba (A. pisum and M. euphorbiae) or Artemisia vulgaris (M. artemisiae) embedded in 2% agar in a Petri dish. Leaves were changed weekly.
(ii) . Antibiotic curing
We used antibiotic treatments to selectively remove Hamiltonella without eliminating the primary symbiont Buchnera aphidicola, following a protocol adapted from [53]. The antibiotic solution was obtained by mixing 10 mg ml−1 of Ampicillin sodium salt, 5 mg ml−1 Cefotaxime sodium salt and 5 mg ml−1 Gentamicin in water. A single leaf of the host plant was cut and placed in a 0.5 ml Eppendorf tube filled with the antibiotic solution. We placed 10 1- or 2-day-old aphid nymphs on a leaf and left them to feed for five days on antibiotic solution. Surviving aphids were then transferred to a regular Petri dish as described above. We confirmed the antibiotic had removed Hamiltonella by testing aphids in the second generation after treatments, and in the sixth generation prior to the start of experiments, using symbiont-specific 16S rRNA primers. The presence/absence/strain of each Hamiltonella treatment was reconfirmed after the experiments had been conducted.
(iii) . Hamiltonella transfections
Hamiltonella–aphid associations were established using haemolymph injection (figure 2 and table 2). Approximately 0.25 µl of haemolymph was obtained by removing the leg of a naturally infected adult (donor) aphid and then injected into a first instar uninfected (recipient) aphid using a microcapillary needle [15]. Injected aphids were maintained until they reach adulthood and the presence of Hamiltonella was checked in three of their late offspring (greater than 10th in birth order, in most cases) through DNA extraction and PCR (as described above). Successful injection lines were kept for a minimum of seven generations before being used in parasitoid experiments, to ensure the stability of the infection [54]. At least 13 independent injection lines per Hamiltonella–aphid combination were established (electronic supplementary material, table S2). Their infection status was confirmed both immediately before and immediately after all experiments in which they were involved using 16S rRNA PCR by testing the siblings of the aphids being assayed.
Table 2.
species | donor line | recipient line | block 1 | block 2 |
---|---|---|---|---|
A. pisum | — | PeaYc / Pea1c | PeaYc | Pea1c |
Pea1 | Ap1→PeaYc | Ap1→Pea1c | ||
Pea2 | Ap2→PeaYc | Ap2→Pea1c | ||
Mug1 | Ma→PeaYc | Ma→Pea1c | ||
Pot1 | Me→PeaYc | Me→Pea1c | ||
M. artemisiae | — | Mug3c / Mug20c | Mug3c | Mug20c |
Pea1 | Ap1→Mug3c | Ap1→Mug20c | ||
Pea2 | Ap2→Mug3c | Ap2→Mug20c | ||
Mug1 | Ma→Mug3c | Ma→Mug20c | ||
Pot1 | Me→Mug3c | Me→Mug20c | ||
M. euphorbiae | — | Pot8c / PotGc | Pot8c | PotGc |
Pea1 | Ap1→Pot8c | Ap1→PotGc | ||
Pea2 | Ap2→Pot8c | Ap2→PotGc | ||
Mug1 | Ma→Pot8c | Ma→PotGc | ||
Pot1 | Me→Pot8c | Me→PotGc |
(d) . Stability of Hamiltonella infections and fecundity effects
(i) . Stability of Hamiltonella infections
We assessed the stability of newly established Hamiltonella infections at generations 2–5 following injection by measuring the relative density of Hamiltonella using quantitative PCR on whole aphid DNA extracts. Three 14-days-old aphids per injection line (six injection lines per Hamiltonella–aphid combination) were extracted as described above. We used two single-copy genes: one in the aphid nuclear genome (EF 1-α) and one in Hamiltonella (dnaK). The quantification was performed on a CFX Connect Real-Time PCR Detection System (BioRad, Hercules, CA, USA). Full details of PCR conditions and primer sequences are provided in electronic supplementary material, table S7. The mean qPCR efficiencies were calculated using a ten-fold series of dilutions from 3.2 × 102 to 3.2 × 107 copies of purified PCR products. The efficiencies were 96.3% for the aphid gene and 89.1% for the Hamiltonella gene. Samples were run in triplicates. As the standard deviations between the triplicates of a given samples were below 0.5 cycles, the mean quantification cycle (Cq) values were used to calculate the starting quantities of the genes of interest. For each sample, the starting quantity for the Hamiltonella gene was divided by the starting quantity for the aphid gene to obtain the Hamiltonella density.
(ii) . Aphid fecundity
Lifetime fecundity was recorded for 5–36 (approx. 24 on average) adult aphids per infection status and recipient species (Mug3, PotG and PeaY), from either cured lines or newly injected lines (from generation 2 to generation 7 following microinjection). Dishes were checked weekly, all offspring were counted and then removed. Aphids that died prematurely from fungal infection were excluded from the dataset.
(e) . Parasitoid survey and resistance experiment
(i) . Collection and identification of mummified aphids
Mummified and live aphids were collected in the Greater London area (UK) on five plant genera or species (Geum spp., Galium aparine, Medicago sativa and Artemisia spp.) known to host M. euphorbiae, A. pisum and M. artemisae (see electronic supplementary material, table S5 and S6 for full information on mummy collection). Mummified aphids were immediately preserved in 70% ethanol for DNA extraction. Live aphids were kept in the laboratory on a leaf of their host plant for two weeks. Any mummy forming during this time was either preserved for DNA extraction or used to establish laboratory colonies (see below). DNA extraction of mummified aphids was performed as previously described.
To simultaneously identified the aphid and its parasitoid from field collected aphids and mummies, we amplify DNA using universal barcoding primers that target the cytochrome c oxidase subunit I ‘COI' gene, Ill_B_F/HCO2198 [55] (electronic supplementary material, table S7). Tagged PCR products were submitted to Bart's and the London Genome Centre for addition of indices and pooling of libraries. Sequencing was then carried out on a single MiSeq run (paired-end, 2 × 300 bp reads). Samples were analysed using Dada 2 v. 1.16 [56].
(ii) . Parasitoid resistance experiment
Colonies of three parasitoid species were maintained in the laboratory on host aphid clones that had been cured of Hamiltonella: Aphidius absinthii on M. artemisiae (Mug3c), A. ervi on A. pisum (PeaYc) and A. rhopalosiphi on M. euphorbiae (PotGc). Temperature and lighting were the same as for aphids. Prior to the experiment, newly hatched wasps of both sexes were kept together for at least 24 h to allow for mating. Parasitoid females were then individually exposed to 1 s instar larva from the tested aphid line. In case the parasitoid failed to attack the aphid within 10 min, it was discarded. Otherwise, it was transferred to a Petri dish containing 15 s instar aphids (4-day-old instars for M. euphorbiae and A. pisum; 6-day-old instars for M. artemisiae) and kept there for 24 h. After 12 days, the mummification rate was calculated as the number of mummified individuals divided by the number of individuals that were either alive or mummified (non-mummified aphids that died before 12 days were excluded). At least 12 biological replicates were used for every experimental line tested.
(f) . Statistical analyses
Statistical analyses were performed in R v. 4.2.0 [52] using RStudio v. 1.4.1743 [57]. The lme4 (v. 1.1-29) package [58] was used to fit generalized linear mixed models (GLMMs). The multcomp (v. 1.4-19) package [59] was used to perform post hoc tests.
The stability and lethality, fecundity and parasitoid resistance datasets were each analysed to assess the overall effects of harbouring a native Hamiltonella strain, harbouring a non-native Hamiltonella strain, and (when it applies) not harbouring any Hamiltonella strain.
Stability and lethality data were analysed using a GLM with a binomial distribution. For each host clone–Hamiltonella strain association, the number of successes was defined as the number of lines that were alive and infected at generation 5, and the number of failures was defined as the number of lines that were extinct or had lost their symbiont by generation 5. Both the nature of the association (i.e. native or non-native) and the host species were initially included in the model as explanatory factors. Following model selection, the interaction between these two factors (, p = 1) and the host species factor (, p = 0.121) was removed.
Fecundity data were analysed using a GLMM with a negative binomial distribution. The nature of the association (native, non-native or cured, i.e. no association) was included as a fixed effect, and the symbiont strain, host clone and injection line as random effects. Post hoc tests were performed to allow for pairwise comparisons.
Mummification rate data were analysed by fitting a GLMM with a binomial distribution. The nature of the association (native, non-native or cured) was included as a fixed effect, and the symbiont strain and host clone as random effects. Post hoc tests were performed to allow for pairwise comparisons.
Further tests were conducted to identify the specific host–symbiont interactions that explain the overall patterns. In each case, post hoc tests were performed to allow for pairwise comparisons.
Stability and lethality data were analysed using a GLM with a binomial distribution and symbiont strain and host species included as explanatory factors. The host clone factor was initially included in the model, nested within the host species factor, but was found to be not significant (, p = 0.245) and therefore removed from the final model.
Fecundity data were analysed using a GLM with a negative binomial distribution and infection status and host species included as explanatory factors. The injection line factor was initially included in the model, nested within the infection status factor, but was found to be not significant (LRT , p = 0.640) and therefore removed from the final model.
As parasitoid resistance was not assessed in all aphid–Hamiltonella combinations (due to instability or lethality), our design is not a full factorial one. To assess the effect of particular associations, we therefore analysed the data using three different models, one per aphid species. Each model was a GLMM with a binomial distribution, infection status as a fixed effect and host clone as a random effect.
Fecundity data were analysed independently for each species. Three GLMs were fitted, one (A. pisum) with a Poisson distribution, two (M. artemisiae and M. euphorbiae) with a negative binomial distribution (as overdispersion prevented the use of a Poisson distribution). Infection status was included in the model as a fixed effect, and injection line was nested within infection status.
Mummification rate data were analysed independently for each species, by fitting three GLMMs with binomial distributions. Infection status was included as a fixed effect, and clone as a random effect. Post hoc tests were performed after model selection.
Acknowledgements
We would like to thank H. Charles J. Godfray for providing samples and for his intellectual contribution to the project, as well as Susie Hawthorne and Timothy Penny for their help with experiments and analyses. We would also like to thank the members of the Henry laboratory and two anonymous reviewers for their comments and feedback.
Data accessibility
Data and scripts are available online: https://doi.org/10.5281/zenodo.7097415 [60]. The GenBank accession numbers for Sanger sequences determined in this study are ON928985 to ON929011 (Aphid COI), ON931787 to ON932056 (Hamiltonella MLST), ON993437 - ON993619 (Parasitoid COI). The GenBank accession number for the raw data of Illumina sequencing used in this study is PRJNA863469.
The data are provided in electronic supplementary material [61].
Authors' contributions
L.M.H.: conceptualization, funding acquisition, investigation, supervision, writing—original draft, writing—review and editing; T.W.: conceptualization, formal analysis, investigation, writing—original draft, writing—review and editing; D.M.: conceptualization, formal analysis, writing—original draft, writing—review and editing; R.A.R.L.: investigation, writing—review and editing.
All authors gave final approval for publication and agreed to be held accountable for the work performed therein.
Conflict of interest declaration
We declare we have no competing interests.
Funding
This work was supported by NERC IRF (NE/M018016/1) and Leverhulme grant no. (RPG-2020-211) to L.M.H.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Citations
- Wu T, Monnin D, Lee RAR, Henry LM. 2022. Local adaptation to hosts and parasitoids shape Hamiltonella defensa genotypes across aphid species. Zenodo. ( 10.5281/zenodo.7097415) [DOI] [PMC free article] [PubMed]
- Wu T, Monnin D, Lee RAR, Henry LM. 2022. Local adaptation to hosts and parasitoids shape Hamiltonella defensa genotypes across aphid species. Figshare. ( 10.6084/m9.figshare.c.6251410) [DOI] [PMC free article] [PubMed]
Data Availability Statement
Data and scripts are available online: https://doi.org/10.5281/zenodo.7097415 [60]. The GenBank accession numbers for Sanger sequences determined in this study are ON928985 to ON929011 (Aphid COI), ON931787 to ON932056 (Hamiltonella MLST), ON993437 - ON993619 (Parasitoid COI). The GenBank accession number for the raw data of Illumina sequencing used in this study is PRJNA863469.
The data are provided in electronic supplementary material [61].