Skip to main content

Co-habiting ants and silverfish display a converging feeding ecology

Abstract

Background

Various animal taxa have specialized to living with social hosts. Depending on their level of specialization, these symbiotic animals are characterized by distinct behavioural, chemical, and morphological traits that enable close heterospecific interactions. Despite its functional importance, our understanding of the feeding ecology of animals living with social hosts remains limited. We examined how host specialization of silverfish co-habiting with ants affects several components of their feeding ecology. We combined stable isotope profiling, feeding assays, phylogenetic reconstruction, and microbial community characterization of the Neoasterolepisma silverfish genus and a wider nicoletiid and lepismatid silverfish panel where divergent myrmecophilous lifestyles are observed.

Results

Stable isotope profiling (δ13C and δ15N) showed that the isotopic niches of granivorous Messor ants and Messor-specialized Neoasterolepisma exhibit a remarkable overlap within an ant nest. Trophic experiments and gut dissections further supported that these specialized Neoasterolepisma silverfish transitioned to a diet that includes plant seeds. In contrast, the isotopic niches of generalist Neoasterolepisma silverfish and generalist nicoletiid silverfish were clearly different from their ant hosts within the shared nest environment. The impact of the myrmecophilous lifestyle on feeding ecology was also evident in the internal silverfish microbiome. Compared to generalists, Messor-specialists exhibited a higher bacterial density and a higher proportion of heterofermentative lactic acid bacteria. Moreover, the nest environment explained the infection profile (or the 16S rRNA genotypes) of Weissella bacteria in Messor-specialized silverfish and the ant hosts.

Conclusions

Together, we show that social hosts are important determinants for the feeding ecology of symbiotic animals and can induce diet convergence.

Background

Symbiosis, a close association between distinct organisms, is a pervasive ecological interaction [1]. Symbionts greatly vary in their strategies to interact with their host. These strategies have significant implications not only for the evolutionary ecology of the symbionts themselves but also for their hosts [2, 3]. An initial differentiation among symbiont strategies can be made by considering their level of host dependency. Facultative species can survive independently but may benefit from the association with a host, whereas obligate symbionts are completely dependent on the symbiotic associations for survival and reproduction [4,5,6]. Symbionts can be further distinguished along a specialization gradient as they range from generalists that can make use of different resources to highly specialized organisms characterized by extensive trait specialization [7]. Facultative symbionts typically do not exhibit extensive trait specialization and have a broad host range. In obligate symbionts, a more complete generalist-to-specialist specialization continuum can be observed. As specialization increases in obligate symbionts, there is often a corresponding rise in host specificity, meaning that these specialized symbionts tend to focus on a much more limited range of host species than facultative and obligate generalists.

Evolution to increasing ecological specialization and host specificity is expected to affect all aspects of symbiont biology [2, 3] and encompasses modifications in body structure and shape, the development of specialized feeding apparatus, the evolution of social behaviour, and physiological changes [5]. As symbiotic animals become more specialized, their trophic and feeding ecology is predicted to undergo drastic changes [8, 9]. Furthermore, the community of microbial symbionts in the gut or gut-associated organs of a symbiotic animal may change to better support its nutritional requirements [10]. Indeed, bacterial symbionts are an important component of the feeding ecology of various animals, including insects [11,12,13,14]. Nutritional bacterial symbionts can be acquired vertically from parent to offspring across host generations. In insects, vertical acquisition is achieved by intracellular (transovarial) transmission but also by various extracellular transmission routes, including via specialized capsules and symbiont-supplemented jelly that covers eggs [15,16,17]. Stable symbioses with bacterial partners can also be mediated by the environment. For instance, environmental bacteria can postnatally colonize insect guts every generation [18, 19]. In stinkbugs, this mode of environmental symbiont transmission generates complex co-infections and promiscuous bacterial symbiotic associations [19]. In (eu)social insects, bacterial gut symbionts can spread within a colony through social conspecific interactions [11, 20]. Here, coprophagy (the consumption of conspecific faeces) and trophallaxis (transfer of oral fluids via mouth-to-mouth or anus-to-mouth feeding) play an important role in bacterial symbiont transmission [21,22,23,24]. In contrast, to what extent intimate heterospecific interactions between a social host and a symbiotic animal shape the microbial communities is poorly understood (but see [25]).

Ant nests house a surprisingly rich fauna of symbiotic arthropods known as myrmecophiles [26, 27]. Evolution of myrmecophily independently occurred in different lineages of arthropods and resulted in an entire continuum of trait specialization and host specificity. Trait specialization becomes most evident through the utilization of chemical and behavioural deception strategies, as well as morphological adaptations [26, 28,29,30,31]. Higher trait specialization in myrmecophiles enables a better social integration into ant colonies, eventually reaching a point where myrmecophiles are treated as nestmates and are met with amicable behaviours, such as grooming, transport, and trophallaxis [26]. In contrast, generalist myrmecophiles are often poorly integrated into ant colonies, provoking aggression and avoiding direct contact with the ant host [26, 32]. Nonetheless, these generalist myrmecophiles can switch more easily between various ant host species. Although a body of work has characterized the chemical, behavioural, and morphological trait modifications of specialist myrmecophiles, how increasing specialization and social integration shape the trophic and feeding ecology of myrmecophiles remains poorly understood.

The study of specialization in myrmecophiles primarily revolves around beetles [30, 31, 33], but a striking specialization continuum can also be found in silverfish, an early-branching group of wingless insects [34, 35]. One of the most remarkable groups is the radiated Neoasterolepisma genus (Zygentoma: Lepismatidae), exhibiting varying degrees of association with ants. Neoasterolepisma silverfish are particularly diverse in the Iberian peninsula [34]. Obligate generalist Neoasterolepisma species such as N. curtiseta associate with multiple ant species and tend to forage at the periphery of ant colonies, hereby avoiding direct interactions with ant workers [34, 35]. In contrast, another group of closely related Neoasterolepisma evolved specialized interactions with granivorous Messor ants. These myrmecophiles demonstrate the most advanced behavioural and chemical specializations within this genus and reside in the central chambers with the highest density of workers of the nest [35].

Here, we studied how social integration (= specialization) modulates the feeding and trophic ecology of myrmecophiles within the Neoasterolepisma genus. To better understand these eco-evolutionary processes, we also studied facultative generalist and obligate generalist silverfish outside the Neoasterolepisma genus (of the Lepismatidae and Nicoletiidae family, respectively). We combined stable isotope profiling, trophic tests, phylogenetic reconstruction, and microbiome characterization. We compared the isotopic niche of the generalist-specialist spectrum of ant-associated silverfish with their ant hosts using δ15N and δ13C stable isotopes. The isotopic niche, based on δ13C and δ15N values, is a proxy for trophic niche, with the δ15N value reflecting the trophic position and δ13C the basal resource in the diet of the organism [36]. We performed controlled feeding experiments to further explore the diet of the myrmecophilous silverfish. Finally, we investigated the phylogenetic position of these diverse silverfish species and dissected the microbial communities of ant hosts and ant-associated silverfish.

Results

We sampled a total of 58 ant colonies for workers and ant-associated silverfish and sampled four ant-free localities for unassociated silverfish (Tables 1 and 2, and Additional file 1: Table S1). In addition, we also sampled plant debris material produced by Messor workers during seed handling and milling. To study the stable isotope profiles of our insect panel, we analysed 243 samples. In total, bacterial 16S rRNA and mitochondrial COI amplicon data were generated and analysed for 178 individual insects and three plant debris samples. Based on the curated COI amplicon data and conservative morphological classification, our insect panel consisted of 18 ant species and 14 silverfish species (Tables 1 and 2).

Table 1 Sampling efforts of our lepismatid and nicoletiid silverfish panel that covers divergent myrmecophilous lifestyles
Table 2 Sampling efforts of our ant panel that covers divergent ant species

Host-specialized silverfish display a corresponding isotopic niche with their ant host

Based on the stable isotope analyses, the ant-silverfish food web showed high trophic differentiation in our sample collection (Fig. 1). The δ13C of our study species ranged from − 28.2 to − 23.5 ‰ (a range of δ13C values reflects a variability of basal food sources) and δ15N from 3.2 to 7.8 ‰ (higher δ15N values reflects higher trophic positions) (Fig. 1). The averaged isotopic signatures of the Messor-specialized silverfish N. lusitanum and N. spectabile closely grouped together with those of their Messor host (Fig. 1). Three silverfish species (N. curtiseta, P. pseudolepisma, and N. delator) occupied the highest trophic positions on average. However, only the obligate generalist nicoletiid P. pseudolepisma and the obligate generalist Neoasterolepisma (N. curtiseta) displayed an average enrichment in 15N relative to their ant host. The Aphaenogaster-specialized N. delator also grouped closely with its host in the δ13C-δ15N biplot (Fig. 1). Lepisma baetica (unassociated and associated with Tetramorium) and C. ciliatum were characterized by intermediate δ13C and δ15N values relative to other species in our insect panel. The different ant hosts could be clearly differentiated in the isotopic biplot. Camponotus occupied on average the lowest trophic position, while Messor and Tetramorium had on average an intermediate trophic position. Camponotus ants were further characterized by the highest levels of δ13C.

Fig. 1
figure 1

The average isotopic niche of different silverfish and ant species varies greatly within a single sampling locality. When multiple specimens of the same species were sampled within a nest, we calculated the average specific to that particular nest. Consequently, each data point represents the mean value of these nest-specific averages for the species (e.g. N. spectabile based on 12 nest averages of 53 individuals in total, see Table 1). Error bars correspond to standard errors (SE). Colours represent different lifestyles and sample types; dark green: Messor-specialized Neoasterolepisma (Additional file 3: Movie S2), light green: Aphaenogaster-specialized Neoasterolepisma (Additional file 4: Movie S3), dark blue: obligate generalist Neoasterolepisma (N. curtiseta, Additional file 5: Movie S4), and nicoletiid (P. pseudolepisma), light blue: facultative generalist L. baetica, light grey: unassociated, black: ant hosts, and orange: organic material of Messor nests. The mean values of ant-associated and unassociated L. baetica individuals are given separately. Silverfish belonging to the different lifestyle categories are illustrated in the right panel. Caption colour corresponds to the lifestyle

Compared to other ant species at the study site, Messor workers occupied an intermediate trophic position averaged across the 12 colonies (Fig. 1). However, when focusing on individual nests, a strong intercolonial variation of isotopic niches in the C-N biplot was observed, especially for δ15N-values (Fig. 2a, b). Certain Messor colonies exhibited exceedingly high δ15N values, a finding that appears at odds with its granivorous lifestyle. The difference in δ15N values between the colony with the highest (δ15N = 8.5 ± 0.2) and the lowest trophic position (δ15N = 2.9 ± 0.2) was 5.6 (Fig. 2a,b). For both Messor-specialized Neoasterolepisma species (N. lusitanum and N. spectabile), there was a strong match in the isotopic niche with the co-habiting Messor workers (Fig. 2a,b, Additional file 1: Figure S1). No differences in either δ15N (lmer, χ2 = 2.1, df = 1, P = 0.14) or δ13C (χ2 = 2.8, df = 1, P = 0.10) were found between Messor-specialized silverfish and their Messor host. The isotopic niches of Messor-specialized silverfish showed medium to strong overlap in 10 out of 12 nests to those of the Messor hosts (average overlap of 42.5%, range 28.1–89.0%, Additional file 1: Figure S1). Note the overlap between the two species of Messor-specialized Neoasterolepisma (Additional file 1: Figure S1). The isotopic distance (Euclidean distance in the CN-biplot) between these Messor-specialized silverfish and their host workers (living in the same nest environment) was much shorter compared to the distance to ant workers from other Messor nests (ratio 2.7 ± 0.2 SE). This clustering at the nest level of Messor ants and Messor-specialized silverfish was also supported by a PERMANOVA approach. The R2-values in this analysis give the proportion of explained variance by each of the predictor variables. Most variation in the isotopic niche of these silverfish and their Messor hosts was explained by their shared nest environment (PERMANOVA, R2 = 0.84, P = 0.001), rather than by their specific taxon identity (PERMANOVA, R2 = 0.02, P = 0.001) or the interaction between taxon and nest (PERMANOVA, R2 = 0.04, P = 0.001) (Fig. 2a, b, Additional file 1: Figure S1). In parallel, the isotopic niche of the Aphaenogaster-specialized silverfish N. delator and their Aphaenogaster host was also mainly driven by the nest environment (PERMANOVA, N. delator-Aphaenogaster: R2 = 0.57, P = 0.08; distance to Aphaenogaster workers found in the same nest was 3.6 ± 1.8 SE times smaller than to Aphaenogaster workers from other nests in the isotope biplot) (Fig. 2c). Taxon identity (R2 = 0.03, P = 0.52) and the interaction with nest (R2 = 0.08, P = 0.78) explained a small fraction of the observed variation in isotopic niche of the Aphaenogaster-specialized N. delator and Aphaenogaster ants. The obligate generalist Neoasterolepisma (N. curtiseta), the obligate generalist nicoletiid P. pseudolepisma, and the facultative generalist L. baetica had a larger isotopic distance to their hosts than the Messor- and Aphaenogaster-specialized Neoasterolepisma species (Fig. 2d–f). The distance between the obligate generalist N. curtiseta and co-habiting workers and non-co-habiting Camponotus workers was similar (ratio 1.0 ± 0.1 SE). Isotopic niche variation in the δ13C-δ15N biplot of N. curtiseta and its Camponotus hosts was mainly determined by taxon identity (R2 = 0.62, P = 0.001) and to a lesser degree to nest environment (R2 = 0.23, P = 0.004) or the interaction of nest with taxon (R2 = 0.06, P = 0.17) (Fig. 2d).

Fig. 2
figure 2

The isotopic niche converges between host-specialized silverfish and ant hosts inhabiting the same nest. Different panels give the variation of δ13C and δ15N of silverfish species and their ant hosts across different nests. Each point represents the average ant worker (black or grey) or silverfish value (coloured) per nest: a Messor and Messor-specialized N. lusitanum, b Messor and Messor-specialized N. spectabile, c Aphaenogaster and Aphaenogaster-specialized N. delator, d obligate generalist nicoletiid P. pseudolepisma and Camponotus ants, e obligate generalist N. curtiseta and Camponotus and Aphaenogaster ants, f facultative generalist L. baetica and Tetramorium host. Error bars correspond to standard errors (SE). A grey band connects ant workers and silverfish from the same nest

Feeding behaviour and physiology of ant-associated silverfish

Flour, yeast, and dead maggots were consistently neglected in the feeding assays with the starved obligate generalist nicoletiids P. pseudolepisma and A. formicaria. The Messor-specialized N. lusitanum also ignored yeast and dead maggots, but was observed feeding on flour in three of the twelve conducted trials (Additional file 2: Movie S1). The gut of six out of 20 A. formicaria individuals and three out of 7 P. pseudolepisma individuals was clearly coloured, indicating the acquisition of food droplets from their ant host through mouth-to-mouth feeding. This confirmed previous observations of this behaviour in the generalist nicoletiid A. formicaria [37] (Additional file 1: Figure S2). The mouth parts of some P. pseudolepisma individuals were also stained, further supportive of heterospecific trophallaxis (Additional file 1: Figure S2). When dissecting the gut of one specimen of P. pseudolepisma without visible external body colouration, a light blue staining of the gut was still observed. In contrast, no evidence of trophallaxis was detected in the obligate generalist N. curtiseta and Messor-specialized N. lusitanum.

To further study the feeding modes of our panel of silverfish, we dissected the gut of N. curtiseta, N. spectabile, and P. pseudolepisma. Consistent with previous observations of Lepismatidae [38, 39], N. curtiseta and N. spectabile displayed a differentiated proventriculus that carries sclerotized teeth-like structures (Additional file 1: Figure S3). These findings show that the evolution of myrmecophily within Neoasterolepisma silverfish is not associated with a secondary loss of this feeding structure, indicating that ant-associated Neoasterolepisma likely still rely on solid food for nutrition. In contrast, dissections of P. pseudolepisma specimens did not reveal a muscular proventriculus. Moreover, the digestive tract of P. pseudolepisma lacked sclerotized teeth-like structures (Additional file 1: Figure S4). These findings are in line with previous studies comparing the digestive system of silverfish families [40] and align with the hypothesis that trophallaxis could be an important mode of feeding in P. pseudolepisma and A. formicaria [37].

Myrmecophilous lifestyle determines the composition and density of the silverfish microbiome

Morphological classification of the insect specimens was collaborated by the mitochondrial COI amplicon data. For the myrmecophiles, however, we did observe identical COI sequences for Tricholepisma aureum and Neoasterolepisma balearicum, raising the possibility of potential synonymous taxonomic descriptions (Fig. 3, Additional file 1: Figure S5). Hereafter, we included T. aureum within the Neoasterolepisma-specific analyses and considered its lifestyle as Messor-specialized Neoasterolepisma. In addition, based on the COI data, the silverfish species P. pseudolepisma and A. formicaria appeared to consist of cryptic genetic lineages (Fig. 3). The mitochondrial COI phylogeny placed our Messor collection into four species; Messor barbarus, Messor ibericus (structor s.l.), Messor structor s.l. (tentatively morphologically classified as Messor mcarthuri by Lech Borowiec) [41], and one unidentified Messor species, hereafter referred to as Messor sp. (Additional file 1: Figure S6).

Fig. 3
figure 3

Myrmecophilous lifestyle shapes the silverfish microbiome. The Lepismatinae and Atelurinae phylogenies are depicted and are based on a 418-bp fragment of the mitochondrial COI gene. COI amplification was not successful for three silverfish samples and their symbiotic communities are depicted below their respective phylogenetic trees. Silverfish lifestyle is colour-coded (see right). Wolbachia infection is indicated by a black background within the row labelled with “w. The unit for the microbiome density is the number of symbiotic rRNA copies per ng DNA. Leuconostocaceae is currently considered as a later synonym of Lactobacillaceae

Insects are often colonized by dense populations of maternally transmitted bacterial endosymbionts that manipulate host reproduction [42]. Amplicon sequence data revealed that of these reproductive endosymbionts, Wolbachia (of the Anaplasmataceae family) were the most common in our insect panel, infecting ~ 36% of the individuals (Fig. 3, Additional file 1: Figure S5-S7). Wolbachia variants were clustered into four OTUs and 18 zOTUs, representing supergroups A, B, and F (Additional file 1: Figure S7). Wolbachia typically reach high densities within host reproductive tissues and are maternally transmitted across host generations [42, 43]. In our dataset, we generally observed different 16S rRNA genotypes in different species (Additional file 1: Figure S7), further arguing against recent horizontal transmission of Wolbachia (Fig. 3, Additional file 1: Figure S5-S7). To focus on bacterial (gut) symbionts that may horizontally transmit, we removed amplicon reads belonging to the intracellular Anaplasmataceae family.

Excluding the “unassigned” and “Other” categories, the nine most common bacterial orders comprised on average 81% of the silverfish microbiome (Fig. 3). Lactobacillales was the most dominant order and was represented by four families; heterofermentative Lactobacillaceae (Leuconostocaceae), Streptococcaceae, Lactobacillaceae, and Enterococcaceae (Fig. 3). The taxonomic designation Leuconostocaceae is now considered to be synonymous with Lactobacillaceae and, for sake of clarity, we will refer to this clade as heterofermentative Lactobacillaceae hereafter [44]. Heterofermentative Lactobacillaceae symbionts commonly infected Neoasterolepisma silverfish and reached high relative abundance levels (Fig. 3). In contrast, the three Lepismatinae silverfish species outside the Neoasterolepisma genus (L. baetica, C. ciliatum, and A. kraepelini) did not carry heterofermentative Lactobacillaceae (Fig. 3). Obligate generalist nicoletiids P. pseudolepisma and A. formicaria did carry these lactic acid bacterial symbionts, albeit at a lower prevalence (Fig. 3). For Enterobacterales, Enterobacter bacteria were the most common. Within Neoasterolepisma silverfish, infections of several vertically transmitted symbionts were inferred, including Spiroplasma (Entomoplasmatales) and Rickettsia (Rickettsiales) (Fig. 3). All three specimens of unassociated C. ciliatum carried a Rickettsiella infection (Diplorickettsiales), as did some A. formicaria insects. Within our silverfish panel, intracellular Cardinium symbionts (Cytophagales) were restricted to 12 specimens of the two obligate generalist nicoletiids (P. pseudolepisma and A. formicaria) where high relative abundance levels were observed, representing maternally acquired infections (Fig. 3) [45].

Within the Neoasterolepisma silverfish genus, the bacterial composition (based on the nine most abundant bacterial orders) was significantly determined by the myrmecophilous lifestyle (PERMANOVA, R2 = 0.39, F = 5.81, P = 0.001). Post hoc comparisons revealed that the bacterial composition was significantly different in Messor-specialized Neoasterolepisma compared to obligate generalist Neoasterolepisma (post hoc PERMANOVA, R2 = 0.24, F = 4.8, BH corrected P = 0.018), and Aphaenogaster-specialized Neoasterolepisma (post hoc PERMANOVA, R2 = 0.38, F = 9.23, BH corrected P = 0.003). The relative difference in microbial composition in Messor-specialized Neoasterolepisma compared to the two other lifestyles was mainly driven by a higher proportion of Lactobacillales (Kruskal–Wallis test, P = 0.005, mean of the nest-averaged proportions ± SE: Messor-specialized = 0.62 ± 0.06, Aphaenogaster-specialized = 0.14 ± 0.10, and obligate generalist = 0.32 ± 0.09). Post hoc Dunn tests revealed that the microbiome of Messor-specialized Neoasterolepisma had a higher proportion of Lactobacillales compared to Aphaenogaster-specialized Neoasterolepisma (BH corrected P = 0.008), and a near-significant higher proportion than obligate generalist Neoasterolepisma (BH corrected P = 0.083).

In addition, the myrmecophilous lifestyle also significantly determined the gut bacterial density within Neoasterolepisma silverfish (lmer, χ2 = 11.1, df = 2, P = 0.004) (Fig. 3). Comparisons uncovered that gut bacterial densities were significantly higher for Messor-specialized Neoasterolepisma compared to the obligate generalist N. curtiseta (P = 0.04) and to Aphaenogaster-specialized N. delator (P = 0.04) (Fig. 3).

To gain a first insight into how myrmecophily modifies the microbiome of Neoasterolepisma silverfish, we also investigated the symbiotic community of the ant hosts (Additional file 1: Figure S6). In ants, Lactobacillales was also among the most dominant orders and was represented by three families; heterofermentative Lactobacillaceae (Leuconostocaceae), Streptococcaceae, and Lactobacillaceae (Additional file 1: Figure S6). Of our Messor collection, ~ 71% of the workers exhibited an infection of heterofermentative Lactobacillaceae symbionts (Additional file 1: Figure S6). For Aphaenogaster, three workers (30%) carried an apparent infection (Additional file 1: Figure S7). Of the ant hosts of the obligate generalist N. curtiseta, only a single specimen of Pheidole pallidula appeared infected with heterofermentative Lactobacillaceae. Camponotus ants were infected with beneficial Blochmannia symbionts (Enterobacterales), in line with a rich body of literature [46, 47]. In contrast to our silverfish panel, all other sampled ant species exhibited a relatively low infection prevalence of vertically transmitted symbionts.

Nest explains the Weissella infection profile of Messor-specialized Neoasterolepisma silverfish

To further dissect the origins and modes of transmission of the heterofermentative Lactobacillaceae symbionts, we investigated the repertoire of genetic lineages within this bacterial family. Here, we also included samples of organic seed remnants of three Messor nests. A total of four OTUs and 22 zOTUs remained after data curation (Fig. 4, Additional file 1: Figure S8- S9). OTU4 was assigned with 97% certainty to the heterofermentative Lactobacillaceae clade but could not be confidently placed on the genus level, and is hereafter referred to as Lacto4. Lacto4 was observed in ~ 77% of all Messor-specialized Neoasterolepisma silverfish. In contrast, the Aphaenogaster-specialized and obligate generalist Neoasterolepisma silverfish (N. delator and N. curtiseta, respectively) were not infected with Lacto4, nor were any other silverfish outside the Neoasterolepisma genus (Fig. 4, Additional file 1: Figure S8-S9). Of the ant collection, only two Messor workers (~ 7%) appeared positive for Lacto4 (Fig. 4, Additional file 1: Figure S8-S9). None of the seed samples exhibited the presence of Lacto4 bacteria. Together, these findings suggest that Lacto4 infection has a strong association with the myrmecophilous lifestyle of Messor-specialized Neoasterolepisma.

Fig. 4
figure 4

Ant nest determines the infection profile of Weissella bacteria in Messor-specialized silverfish. Ant and silverfish individuals are grouped according to nest origin. The relative abundances of heterofermentative Lactobacillaceae symbionts are visualized (see bottom). Silverfish lifestyle is colour-coded; dark green: Messor-specialized Neoasterolepisma, light green: Aphaenogaster-specialized, and blue: obligate generalist (N. curtiseta and A. formicaria). Plant seed material is indicated with an orange background. Silverfish species are identified by their abbreviated species name

Within the heterofermentative Lactobacillaceae clade, we also observed two distinct lineages (i.e. OTUs) of Weissella that infected our silverfish and ant specimens (Fig. 4). Here, Weissella exhibit a strong association with Messor-specialized silverfish and Messor ants (Fig. 4, Additional file 1: Figure S8-S9). We identified 6 and 12 strains (i.e. zOTUs) for OTU11 and OTU13, respectively. In most nests, we observed a strong overlap in the composition of these 18 Weissella strains between silverfish and ants (Fig. 4). This heterospecific sharing of Weissella strains in Messor nests was statistically confirmed by variation partitioning using a PERMANOVA approach. Variation in the composition of these 18 strains was mostly explained by the nest origin of the insect (PERMANOVA, R2 = 0.63, F = 11.89, P = 0.001). Taxon (ant or silverfish) and the interaction between taxon and nest also significantly impacted the Weissella infection profile (PERMANOVA, taxon, R2 = 0.04, F = 7.33, P = 0.001, taxon:nest, R2 = 0.15, F = 2.82, P = 0.001), but predicted a lower proportion of the variation in Weissella composition than nest origin. One OTU of the heterofermentative Lactobacillaceae clade, OTU26 (associated with a single zOTU, zOTU38), was only found in a single C. pilicornis colony where P. pseudolepisma and N. curtiseta individuals tested positive (Additional file 1: Figure S9).

Discussion

Specialization shapes the ecology and evolution of symbiotic animals. In symbiotic arthropods living with eusocial insects, chemical and behavioural specialization enable them to access the innermost chambers of the host nest without triggering aggression. This social integration into the colony enables symbiotic arthropods to optimally benefit from the favourable microclimate and resources inside a well-defended nest fortress [26]. Compared to specialization strategies as body morphology, behaviour, and chemical deception, relatively little is known about the relationship between social integration (specialization) and feeding ecology. In this study, we demonstrate that the convergence of feeding ecology of socially integrated silverfish and their ant hosts may be an important aspect of their ecology and evolution.

The isotopic niches of Messor- and Aphaenogaster-specialized Neoasterolepisma exhibited a strong similarity to those of their host colonies in the isotope biplot. This tight relationship implies that these silverfish not only feed on similar food sources but also flexibly adapt their diet in accordance with the foraging decisions of the host colony. Previously, coupling of the isotopic niche among co-habiting animals have been shown in host-parasite systems [48], co-habiting ant species [49], co-habiting termite species [50], and myrmecophiles and their ant host [51]. In these studies, although the δ13C-δ15N (or only δ15N) profiles of the co-habiting species covary, there was a clear difference in the isotopic composition of the co-habiting species. Here, we show that the isotopic niches of co-habiting animals do not only covary but can also converge to the same position in C-N isotopic space. Messor ants are generally considered as granivorous and are consequently expected to have a relatively low trophic position, just above the seed material that they consume [52]. Nonetheless, some Messor colonies of our study displayed significantly enriched δ15N values, exceeding those of the organic seed remnants in their waste dumps by more than one trophic level (when considering a standard enrichment of 3–4 ‰ per trophic position, [53]). Relatively enriched δ15N values in Messor colonies were previously found by Fiedler et al. [54], leading the authors to suggest that the reliance on resources other than plant seed may be greater in Messor than commonly believed [54]. Fiedler et al. [54] further hypothesized that the enriched δ15N values observed in Messor could be attributed to a regular consumption of arthropod remains, animal excrement, or fungi growing on organic nest material. Enriched δ15N values may also reflect small-scale spatial variability in the baseline, but we did not find any spatial autocorrelation in δ15N values of the organic plant material in the waste dumps or of the ant species. Lastly, seeds of different plants may strongly vary in δ15N [55] and the variation in trophic position across colonies might reflect the preferential consumption of seeds with distinct δ15N values. But this explanation seems implausible as we did not detect a correlation with the δ15N of the organic seed remains in the waste deposits. In strong support of our study, Messor-specialized Neoasterolepisma attained similarly enriched levels of δ15N in those Messor colonies with unusually high δ15N. Feeding trials under controlled laboratory conditions showed that Messor-specialized Neoasterolepisma feed on plant material just like their granivorous Messor hosts. Based on our results, it is unlikely that dead ants or ant brood form a significant part of the diet of Messor-specialized Neoasterolepisma; otherwise, one would expect a notable enrichment in 15N compared to their Messor host [56]. Messor-specialized Neoasterolepisma also do not engage in trophallaxis (unlike obligate generalist nicoletiid species). A recent study underlined the importance of the diet quality of a termite host for the fitness of an associated beetle [57]. Messor-specialized silverfish are also subject to the quality of the food resources consumed by their ant hosts, but it is unknown whether these silverfish select nests based on the nest feeding ecology. Aphaenogaster ants are considered as omnivorous [58] and had on average a higher trophic position than Messor ants. Like the Messor-specialized species, we found a strong convergence in the isotopic niche between Aphaenogaster-specialized silverfish and Aphaenogaster ants.

In sharp contrast, congeneric N. curtiseta silverfish did not show a resemblance of their isotopic niche compared to their ant hosts but showed a stronger enrichment in 15N. This obligate generalist has a broad host range, but was mainly found with Camponotus ants across the study sites. The low position of our Camponotus samples is consistent with other studies [54, 59]. The obligate generalist N. curtiseta is less integrated into host colonies than Messor- and Aphaenogaster-specialized Neoasterolepisma [35]. While Messor and Aphaenogaster specialists are expected to feed on food resources within the nest, N. curtiseta may be less restricted to the nest environment and scavenge for food sources outside the nest. Note that the trophic position of N. curtiseta was higher than the unassociated silverfish Ctenolepisma, which is thought to have a standard diet for silverfish.

The myrmecophilous lifestyle of Neoasterolepisma was also associated with dramatic changes in the bacterial microbiome. Heterofermentative lactic acid bacteria were significantly associated with Messor-specialized Neoasterolepisma, raising questions on how these symbionts are transmitted within this system. Based on the observed prevalence of Lacto4 across our insect collection, we hypothesize that Lacto4 symbionts are not easily shared between ants and silverfish. While Lacto4 symbionts displayed a high relative abundance in a large number of Messor-specialized Neoasterolepisma, low densities were observed in only two Messor workers. However, the possibility remains that small Lacto4 populations in Messor ants were not detected with our approach. Whether Lacto4 symbionts spread across Messor-specialized Neoasterolepisma horizontally or vertically remains unknown. Unfortunately, the current study lacks the phylogenetic depth for both Neoasterolepisma and Lacto4 to formally test whether Lacto4 vertically transmits within this system, and, if so, when the acquisition of Lacto4 occurred. Radiations of insect species with new feeding ecologies have previously been coupled to the acquisition of vertically transmitted bacterial symbionts. Herbivory is typically considered as a key innovation and many insect taxa engage in symbiosis with bacteria to survive on a herbivorous diet. In tortoise leaf beetles, bacterial Stammera symbionts encode pectinases that allow its beetle host to digest pectin-rich foliage [17, 60]. Sap-feeding insects such as spittlebugs and cicadas depend on a diverse array of nutritional symbionts for the provision of essential amino acids and vitamins [61]. Here, we are drawn to the hypothesis that the acquisition of Lacto4 symbionts facilitated the shift towards a (semi-)granivorous feeding ecology of Messor-specialized Neoasterolepisma. Bacteria of this clade are reported to contribute to the degradation and modification of recalcitrant plant material, including complex polysaccharides [62]. The investigation of whether Lacto4 may contribute to the assimilation of plant nutrients in Messor-specialized Neoasterolepisma is an interesting avenue of future research for this system.

We also observed Weissella symbionts of the heterofermentative lactic acid bacteria clade in our insect collection. Weissella have been isolated from various plants and animals, including insects [63,64,65,66]. Here, two distinct lineages of Weissella co-infect silverfish and ants. Moreover, the Weissella strain profile of Messor-specialized silverfish and Messor ants converges and is strongly determined by the nest, suggestive of two non-mutually exclusive transmission scenarios. First, Weissella bacteria may initially infect plant seeds and subsequently colonize silverfish and ant guts upon feeding. Studies have shown that the microbiotic communities of insect herbivores can be contingent on the microbiome of the host plant [67,68,69,70]. For our focal system, this scenario implies that Weissella acquisition is likely associated with the granivorous feeding behaviour of Messor-specialized Neoasterolepisma. The observation that a seed sample from a Messor colony tested positive for both Weissella lineages supports this transmission scenario. Second, Weissella infection could be further maintained by horizontal transmission between silverfish and ants within nests. The behaviour of Messor-specialized Neoasterolepisma to engage in close physical contact with Messor workers likely creates multiple opportunities for heterospecific transmission. Here, our laboratory assays show that trophallaxis or grooming might not be essential behavioural traits to allow for heterospecific transmission of bacteria within ant nests. Unfortunately, the current data does not allow to reliably identify the original source of Weissella, nor the direction of potential horizontal transmission routes. Weissella have also been detected in other myrmecophile-ant systems. Based on amplicon and Sanger read data, Weissella infection was apparently shared across myrmecophilous beetles and ants within colonies of the army ant Eciton burchellii [33]. However, no effect of ant colony on the Weissella infection profile was readily apparent. Instead, infection was associated with the development of E. burchellii with larvae carrying a relatively high abundance of Weissella. Further study is required to fully understand Weissella transmission and potential functional roles in insects.

The spatial scale of field sampling for the stable isotope and microbiome analyses were different due to divergent methodological requirements. As we aimed to capture as much potential genetic variation within and across microbial and insect species as possible, we collected microbiome samples on a large geographical scale (Fig. 3, 4). However, applying such a wide-scale sampling approach for the study of stable isotopes is problematic as this would require extensive correction for baseline variation in δ13C and δ15N [53]. Therefore, the stable isotope samples were collected within a single small field site. Based on our current findings, it would be interesting for future studies to track small-scale variations within the bacterial microbiome and couple these changes directly to small-scale variations in stable isotope profiles of Messor colonies.

Conclusions

We show that the isotopic niches of co-habiting animals can converge to the same position in C-N isotopic space. We further uncovered that the social environment can explain the changes in the density and composition of the microbiome of symbiotic animals. Different aspects of the biology of symbiotic animals, such as dispersal and reproduction, are known to be steered by their social host. Using the silverfish model system, we demonstrate that trophic ecology represents yet another aspect of symbiotic animals that can be influenced by the host. Future research should explore the benefits of trophic specialization in symbiotic animals and investigate how specific microbiota aid in colonizing new niches. Additionally, research should aim to elucidate the mechanisms by which symbiotic animals acquire these microbiota.

Methods

The silverfish study system

Here, we define “nest” as the micro-environment created by an ant colony. A nest does not only provide a home for an ant colony but also accommodates myrmecophilous silverfish. Based on lifestyle and phylogeny, we placed our sampled silverfish species in five categories; (1) Host-specialized Neoasterolepisma (Lepismatidae): these species are host-specialized in terms of high host specificity and their high level of social integration within ant colonies. Most species are associated with Messor and hereafter referred to as Messor-specialized Neoasterolepisma (Table 1). These species employ advanced chemical deception strategies and actively approach and interact with their host, provoke little aggression, and tolerate high densities of workers without demonstrable costs [35]. These silverfish are typically found in large numbers throughout the nest and even in the nest chambers with the highest densities of workers (Additional file 3: Movie S2). The Aphaenogaster-specialized Neoasterolepisma delator is also integrated into the host colony, but exhibits lower densities than Messor-specialized species ( [26], Additional file 4: Movie S3). (2) Obligate generalist Neoasterolepisma (Lepismatidae): in this category, we placed the species N. curtiseta that is obligately associated with ants, but is found in association with multiple unrelated ant taxa [34]. N. curtiseta avoids ant interactions, typically residing in peripheral nest chambers. The presence of host workers in the same chamber leads to increased mortality when there is no refuge ( [35], Additional file 5: Movie S4). (3) Obligate generalist nicoletiid: this group includes members of the Nicoletiidae family Proatelurina pseudolepisma and Atelura formicaria that evolved obligate myrmecophily, and target a broad range of ants [34]. Atelura formicaria is known to steal food droplets from ant workers [37]. However, these species are less inclined to approach the host compared to host-specialized silverfish [35]. (4) Facultative generalist: this category includes Lepisma baetica (Lepismatidae) that occurs in ant nests, but can also be found away from ants. L. baetica avoids interactions with ants, provokes strong aggression and, when found in ant nests, tends to occur at the periphery of the nest [35]. (5) Unassociated: Allacrotelsa kraepelini and Ctenolepisma ciliatum normally do not live in ant nests, provoke a very strong aggression response, and therefore strictly avoid coming into contact with ants [35].

Field sampling, morphological classification, and gut dissections

Insects were sampled between September and December 2020 as well as in November 2022 across five European countries (Additional file 1: Table S1). To avoid variation in baseline isotope values, all samples for stable isotope profiling were isolated from a single locality [53]. The sampling site was a small (2.3 Ha) Mediterranean field in an urbanized region in Alcolea, near Córdoba (Spain), at the foot of the Sierra Morena mountain range (37.942357 N, − 4.688559 E). Samples were taken within a period of a single week to minimize temporal effects on stable isotope profiling. Specimens were collected from nests using forceps and aspirators. We also collected specimens outside ant nests at this study site; i.e. the unassociated silverfish Ctenolepisma ciliatum and the facultative generalist Lepisma baetica. Specimens were kept alive in containers with moist plaster for 48 h. This was to allow insects to empty their gut. Insects were subsequently transferred to Eppendorf tubes and killed at − 21 °C. During seed handling and milling, Messor colonies deposit husks, stalks, and seed parts in refuse dumps at the periphery of the nest [71]. This material was also collected for each sampled Messor nest. For feeding assays, digestive tract characterization, and amplicon sequencing, distinct localities were sampled in Belgium, Bulgaria, France, Italy, and Spain (Additional file 1: Table S1). For amplicon sequencing, specimens were isolated using an aspirator, preserved in ~ 95% ethanol, and stored at 4 °C until DNA extraction. For this approach, plant material was collected from the refuge dumps of three Messor nests. For the dissection of the digestive tracts of silverfish, sample fixation was performed with alcoholic Bouin. Paraffin was used for inclusion with serial cuts of 4 µm.

Stable isotope analysis

Ant, silverfish, and plant debris samples were dried at 50 °C for 72 h. Ant gasters were removed to avoid contamination with the gut content. Samples were ground with a pestle and 0.2 to 1 mg for ants and silverfish, and approx. 1.5 mg for organic material of the homogenates was transferred into a tin measuring cup. We sampled silverfish individuals of each of the five lifestyle categories (Table 1). For each of the 12 Messor colonies (Table 2 and Additional file 1: Table S1), we measured the isotopic signature of six individual ant workers taken along the worker size range. To measure the isotopic signature of the non-Messor ants, we ran a single composite sample for each colony based on a pool of five workers. We analysed the ratio of 15N/14N and 13C/12C of these samples using an element analyser isotope ratio mass spectrometer (EA-IRMS; Thermo Scientific, Bremen). Measured 15N/14N and 13C/12C ratios were reported as delta (δ) values, in parts per thousand (‰). Isotopic ratios of nitrogen and carbon were normalized using USGS 89 (Porcine Collagen, for N: 6.25 ± 0.12 ‰ vs. AIR and for C: -18.13 ± 0.11 ‰ vs. VPDB). Acetanilide (for N: 19.56 ± 0.03 ‰ vs. AIR and for C: − 29.50 ± 0.02 ‰ vs. VPDB) and B2155 (Caseine, for N: 5.83 ± 0.08 ‰ vs. AIR and for C: − 26.98 ± 0.13 ‰ vs. VPDB) were used as quality controls.

Feeding assays to test trophallaxis and granivory in ant-associated silverfish

By conducting feeding assays with different food sources, we aimed to infer more insight into the feeding behaviour of the myrmecophilous silverfish. Silverfish from several nests were starved for 1 day before each trial (Additional file 1: Table S1). Silverfish were individually housed in Petri dishes (diameter 5 cm) with a moistened plaster bottom. Charcoal was added to the plaster to increase the visual contrast with the food sources. One of the following food sources was added: flour, fresh yeast, or a cut maggot of Phaenicia sericata. We video-recorded the behaviour of the silverfish under red light for 1 h. A food item was considered as accepted by the silverfish if we observed licking, dragging, or biting for at least 10 s. Some individuals were used in trials with different food sources, but each assay was always preceded by a starvation period of 1 day. Twelve feeding trials for each of the three food items (flour, yeast, and a dead maggot) were conducted for the Messor-specialized N. lusitanum, and the obligate generalist nicoletiids A. formicaria and P. pseudolepisma.

Ants typically share regurgitated food droplets with nestmates through mouth-to-mouth feeding, a behaviour known as trophallaxis [72]. Some myrmecophiles may also engage in trophallaxis and steal food droplets [26]. The presence of this feeding behaviour in our collection of myrmecophilous silverfish was tested by offering 15 ant workers a cotton plugged vial with sugar water (20%) stained with blue colourant (Patent Blue V, Cook and Bake) in a plaster-filled arena (diameter 9.5 cm). After 24 h, these workers were transferred to another darkened arena (diameter 9.5 cm), and 15 starved workers of the same colony were added to promote trophallaxis. Silverfish found in the same nest were then also added and inspected after 48 h. A blue coloration of the gut was considered as an indicator that the silverfish engaged directly in trophallaxis or stole a sugar droplet during trophallaxis among workers. Blue coloration of the gut was externally visible in living specimens due to the semi-translucent cuticle. To verify whether blue coloration of the gut could have been missed in some individuals, we dissected guts of specimen that lacked visible external coloration. These trophallaxis tests were conducted for four different species of myrmecophilous silverfish: one Messor-specialized silverfish, Neoasterolepisma lusitanum (N = 15 over 5 trials, host M. barbarus), one obligate generalist Neoasterolepisma, N. curtiseta (N = 3, host Cataglyphis iberica), and two obligate generalist nicoletiids: Atelura formicaria (N = 20 over 4 trials, host Lasius flavus), Proatelurina pseudolepisma (N = 7, host Lasius niger) (Additional file 1: Table S1).

Amplicon library preparation and sequencing

For these analyses, we also sampled silverfish species across the five lifestyle categories alongside their ant hosts (Table 1, Table 2, and Additional file 1: Table S1). Insects were surface-sterilized through a 1 min immersion in 1% bleach, followed by two rounds of washing for 1 min in sterile water. DNA was extracted from whole specimens using the Quick-DNA Universal kit (BaseClear, the Netherlands). In parallel, DNA was extracted from three samples of plant debris that were collected from within Messor colonies. DNA extractions were performed in ten batches comprising a total of 187 samples, with a negative extraction control sample included in six of these batches. Two DNA samples of Drosophila teissieri fruit flies and Shelfordella lateralis cockroaches were included as positive controls. Sterility was ensured throughout the extraction process by working in a laminar flow hood. DNA concentrations were measured using Quant-iT™ PicoGreen™ dsDNA Assay Kit (Invitrogen) on a Synergy HTX plate reader (Biotek).

All DNA samples were used for amplicon library preparation, targeting two marker regions; a partial fragment of the insect mitochondrial cytochrome oxidase I gene (COI) and the V4 hypervariable region of the bacterial 16S rRNA gene. Here, three control reactions were further added to control for PCR contaminants. To prepare the amplicon library, a two-step PCR protocol was followed as described by Kolasa et al. [73]. First, template-specific primers BF3-BR2 and 515F-806R, with Illumina adapter tails, amplified the COI and V4 16S rRNA regions, respectively [74]. After gel verification, SPRI bead-purified PCR products were used as templates for indexing PCR reactions. Here, Illumina adapters were completed and a unique combination of indexes was added to each library. Reaction conditions are provided in Additional file 1: Table S2. To the first PCR reaction, we added a synthetic quantification spike-in; ~ 1000 copies of linearized plasmid carrying artificial 16S rRNA amplification target Ec5502 [75] to estimate the number of 16S rRNA copies per ng of DNA. Final libraries were pooled based on band brightness on agarose gels, purified with SPRI beads, and sequenced in a highly multiplexed NovaSeq 6000 SPrime 2 × 250 bp flow cell at the Swedish National Genomics Infrastructure facility in Stockholm.

Analyses of amplicon sequence data

Amplicon read data of the COI and V4 16S rRNA marker regions were processed using a custom pipeline (https://github.com/catesval/Bioinformatic-pipelines). Our read quality criterion was set at a phred score of at least 30. For each DNA sample, amplicon reads were divided based on primer sequences into two bulks that represented the two marker regions. For both bulks, quality-filtered reads were assembled into contigs using PEAR [76]. Per library, contigs were de-replicated and de-noised using VSEARCH and UNOISE2, respectively [77, 78]. Chimeras were detected using USEARCH (version 11.0.667_i86linux32) [79]. Taxonomy of the contigs was determined using the SINTAX classifier and customized reference databases (SILVA for 16S rRNA (version SSU 138) and MIDORI (version UNIQ_GB239_CO1) for COI) [80]. Contigs were clustered at the 97% identity level via the UPARSE-OTU algorithm of USEARCH [79]. The V4 16S rRNA zOTU data was de-contaminated using six DNA extraction blanks and three PCR blanks, based on the relative zOTU abundances across our experimental and control samples (https://github.com/catesval/Bioinformatic-pipelines). Specifically, a V4 zOTU was not considered a contaminant when the maximum relative abundance in at least one experimental sample was tenfold higher than its maximum relative abundance in any blank sample. We further designated V4 zOTUs as symbiotic when the maximum relative abundance in at least one experimental sample was higher than 0.001. Using the copy number / read number ratio of the Ec5502 spike-in, an estimate of symbiont density was obtained for each sample by calculating the number of 16S rRNA copies per ng DNA. To control for the dense populations of intracellular Anaplasmataceae symbionts (including Wolbachia), corresponding reads were first subtracted. COI barcoding was unsuccessful for three silverfish samples and for the three plant debris samples. For all other samples, the most abundant eukaryotic COI sequence variant was identified and used for further analyses.

Statistical analyses

All analyses were carried out using R (version 4.2.2) [81]. Raw data are publicly accessible in Additional file 6: Data S1. We plotted the isotopic position of silverfish relative to their ant host workers in C-N biplots for each silverfish species separately. We grouped Messor-specialized N. spectabile and N. lusitanum as Messor-specialized Neoasterolepisma to increase the statistical power of our analyses. Given that both species shared nearly identical niches when co-habiting, and can only be distinguished by subtle morphological traits, we think this is an acceptable approach. We calculated a distance matrix with pairwise Euclidean distance for the Neoasterolepisma lifestyles, i.e. Messor-specialized Neoasterolepisma, the Aphaenogaster-specialized N. delator, and the obligate generalist N. curtiseta, between the samples in the C-N biplot. Using a PERMANOVA test in package vegan [82] (adonis function, permutations), we aimed to explain the variation in this distance matrix by the predictors taxon identity (ant or silverfish), ant nest, and their interaction. To compare the isotopic niches of the Messor-specialized Neoasterolepisma and their ant hosts, we drew nest-specific ellipses encompassing approximately 95% of the data (function plotSiberObject in SIBER [83]). We also tested whether δ15N was significantly different between Messor-specialized Neoasterolepisma and their host, using a linear model with taxon (ant or silverfish) as predictor and a random slope allowing an interaction between nest origin (12 levels) and taxon (lmer). The analysis was repeated with δ13C as the dependent variable.

To understand the determinants of the composition and density of the bacterial community of myrmecophilous silverfish, we first tested whether these features were different among three key myrmecophilous lifestyles within the Neoasterolepisma genus, i.e. Aphaenogaster- and Messor-specialized and obligate generalist species. Here, we also did not account for the species identity of different Messor-specialized Neoasterolepisma species. Data was curated by filtering zOTUs using a mean read count threshold of 20 and a minimum variance threshold of 10% (based on the standard deviation). The microbial community composition was compared based on the relative abundance of the nine most abundant bacterial orders in our silverfish panel (hereby excluding the “unassigned” and “Other” categories). When different individuals of the same silverfish lifestyle were sampled in a nest, we took their average microbial composition to avoid pseudo-replication (nest-specific averages). Associations between the silverfish microbial composition (Bray Curtis dissimilarity matrix) and the predictor silverfish lifestyle (three levels) were examined using a PERMANOVA test (adonis function vegan [82], 999 permutations). P-values of the post hoc comparisons between two levels of silverfish lifestyles were adjusted by Benjamini Hochberg (BH) correction. Next, we tested the effect of silverfish lifestyle (three levels) on the relative abundance of Lactobacillales, the most abundant bacterial order in Neoasterolepisma, using non-parametric Kruskal–Wallis tests coupled with post hoc Dunn tests with BH correction. In addition, we compared the total microbiome density across the three myrmecophilous lifestyles in Neoasterolepisma. Density values were log transformed and modelled against the fixed factor “lifestyle” and the random factor “nest” using a general linear mixed model. Pairwise post hoc comparisons were controlled by BH correction.

After investigating the silverfish microbiome on the order level, we focused on the genotypic (or zOTU) diversity within the Weissella genus, a prominent component of the Leuconostocaceae family (Lactobacillales) in our system. Specifically, we tested whether the strain composition of Weissella bacteria of Messor-specialized Neoasterolepisma silverfish and Messor ants was determined by nest origin or by taxon (ant or silverfish). The Weissella strain profile was based on the presence/absence of the Weissella zOTUs that were retained after data curation. We performed a PERMANOVA analysis (adonis function vegan [82], 999 permutations) on the Jaccard distance matrix of the Weissella strain profiles. This analysis assesses the impact of the predictors taxon (ant or silverfish), nest origin, and their interaction by partitioning the explained variation among these predictors.

Phylogenetic reconstruction

For all phylogenetic analyses, the consensus COI nucleotide sequences were aligned by the E-INS-i strategy of MAFFT, leaving gappy regions [84]. Models were selected based on the Bayesian Information Criterion using ModelFinder [85]. Maximum-likelihood tree reconstructions and ultrafast bootstrapping (5000 replicates) were performed with IQ-TREE (version 2.1.2) [86, 87] (random seed number was set at 54,321). UFBoot trees were optimized by nearest neighbour interchange (argument ‘-bnni’).

Availability of data and materials

All data is deposited within Additional File 6: data S1. Raw sequence data is available at NCBI (accession number PRJNA1097822) [88].

References

  1. Paracer S, Ahmadjian V. Symbiosis: an introduction to biological associations. New York: Oxford University Press; 2000.

    Book  Google Scholar 

  2. Bronstein JL. The costs of mutualism. Am Zool. 2001;41(4):825–39. https://doi.org/10.2307/3884527.

    Article  Google Scholar 

  3. Futuyma DJ, Moreno G. The evolution of ecological specialization. Annu Rev Ecol Syst. 1988;19(20):207–33. https://doi.org/10.1146/annurev.es.19.110188.001231.

    Article  Google Scholar 

  4. Luong LT, Mathot KJ. Facultative parasites as evolutionary stepping-stones towards parasitic lifestyles. Biol Lett. 2019;15(4):20190058. https://doi.org/10.1098/rsbl.2019.0058.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Poulin R. Evolutionary ecology of parasites: (Second edition). Evolutionary Ecology of Parasites: (Second Edition). Princeton University Press. 2011. https://doi.org/10.1086/586926

  6. Stadler B, Dixon AFG. Ecology and evolution of aphid-ant interactions. Annu Rev Ecol Evol Syst. 2005;36(1):345–72. https://doi.org/10.1146/annurev.ecolsys.36.091704.175531.

    Article  Google Scholar 

  7. Chomicki G, Kadereit G, Renner SS, Kiers ET. Tradeoffs in the evolution of plant farming by ants. Proc Natl Acad Sci. 2020;117(5):201919611. https://doi.org/10.1146/annurev.ecolsys.36.091704.175531.

    Article  Google Scholar 

  8. Johnson SD, Steiner KE. Generalization versus specialization in plant pollination systems. Trends Ecol Evol. 2000;15(4):140–3. https://doi.org/10.1016/S0169-5347(99)01811-X.

    Article  CAS  PubMed  Google Scholar 

  9. Nagler C, Haug JT. Functional morphology of parasitic isopods: understanding morphological adaptations of attachment and feeding structures in Nerocila as a pre-requisite for reconstructing the evolution of Cymothoidae. PeerJ. 2016;4:e2188. https://doi.org/10.7717/peerj.2188.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Kaufman MG, Walker ED, Odelson DA, Klug MJ. Microbial community ecology & insect nutrition. Am Entomol. 2000;46(3):173–85. https://doi.org/10.1093/ae/46.3.173.

    Article  Google Scholar 

  11. Engel P, Moran NA. The gut microbiota of insects – diversity in structure and function. FEMS Microbiol Rev. 2013;37(5):699–735. https://doi.org/10.1111/1574-6976.12025.

    Article  CAS  PubMed  Google Scholar 

  12. Hansen AK, Moran NA. The impact of microbial symbionts on host plant utilization by herbivorous insects. Mol Ecol. 2014;23(6):1473–96. https://doi.org/10.1111/mec.12421.

    Article  PubMed  Google Scholar 

  13. Martens EC, Lowe EC, Chiang H, Pudlo NA, Wu M, McNulty NP, et al. Recognition and degradation of plant cell wall polysaccharides by two human gut symbionts. PLoS Biol. 2011;9(12):e1001221. https://doi.org/10.1371/journal.pbio.1001221.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Patel DD, Patel AK, Parmar NR, Shah TM, Patel JB, Pandya PR, et al. Microbial and carbohydrate active enzyme profile of buffalo rumen metagenome and their alteration in response to variation in the diet. Gene. 2014;545(1):88–94. https://doi.org/10.1016/j.gene.2014.05.003.

    Article  CAS  PubMed  Google Scholar 

  15. Fukatsu T, Hosokawa T. Capsule-transmitted gut symbiotic bacterium of the japanese common plataspid stinkbug, Megacopta punctatissima. Appl Environ Microbiol. 2002;68(1):389–96. https://doi.org/10.1128/AEM.68.1.389-396.2002.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Kaiwa N, Hosokawa T, Nikoh N, Tanahashi M, Moriyama M, Meng XY, et al. Symbiont-supplemented maternal investment underpinning host’s ecological adaptation. Curr Biol. 2014;24(20):2465–70. https://doi.org/10.1016/j.cub.2014.08.065.

    Article  CAS  PubMed  Google Scholar 

  17. Salem H, Bauer E, Kirsch R, Berasategui A, Cripps M, Weiss B, et al. Drastic genome reduction in an herbivore’s pectinolytic symbiont. Cell. 2017;171(7):1520–31. https://doi.org/10.1016/j.cell.2017.10.029.

    Article  CAS  PubMed  Google Scholar 

  18. Kikuchi Y, Hosokawa T, Fukatsu T. Insect-Microbe Mutualism without vertical transmission: a stinkbug acquires a beneficial gut symbiont from the environment every generation. Appl Environ Microbiol. 2007;73(13):4308–16. https://doi.org/10.1128/AEM.00067-07.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Kikuchi Y, Hosokawa T, Fukatsu T. An ancient but promiscuous host–symbiont association between Burkholderia gut symbionts and their heteropteran hosts. ISME J. 2011;5(3):446–60. https://doi.org/10.1038/ismej.2010.150.

    Article  PubMed  Google Scholar 

  20. Onchuru TO, Javier Martinez A, Ingham CS, Kaltenpoth M. Transmission of mutualistic bacteria in social and gregarious insects. Current Opinion in Insect Science. 2018;28:50–8. https://doi.org/10.1016/j.cois.2018.05.002.

    Article  PubMed  Google Scholar 

  21. Lanan MC, Rodrigues PAP, Agellon A, Jansma P, Wheeler DE. A bacterial filter protects and structures the gut microbiome of an insect. ISME J. 2016;10(8):1866–76. https://doi.org/10.1038/ismej.2015.264.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Koch H, Schmid- P. Socially transmitted gut microbiota protect bumble bees against an intestinal parasite. Proc Natl Acad Sci USA. 2011;108(48):19288–92. https://doi.org/10.1073/pnas.1110474108.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Powell JE, Martinson VG, Urban-Mead K, Moran NA. Routes of acquisition of the gut microbiota of the honey bee Apis mellifera. Appl Environ Microbiol. 2014;80(23):7378–87. https://doi.org/10.1128/AEM.01861-14.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Nalepa CA. Origin of termite eusociality: trophallaxis integrates the social, nutritional, and microbial environments: Origin of termite eusociality. Ecol Entomol. 2015;40(4):323–35. https://doi.org/10.1111/een.12197.

    Article  Google Scholar 

  25. Perry EK, Siozios S, Hurst GDD, Parker J. Structure of an ant-myrmecophile-microbe community. Pre-print. https://doi.org/10.1101/2021.10.04.462948

  26. Hölldobler B, Kwapich CL. The guests of ants - how myrmecophiles interact with their hosts. Harvard University Press; 2022.

  27. Parmentier T, De Laender F, Bonte D. The topology and drivers of ant–symbiont networks across Europe. Biol Rev. 2020;95(6):1664–88. https://doi.org/10.1111/brv.12634.

    Article  PubMed  Google Scholar 

  28. Komatsu T, Maruyama M, Itino T. Behavioral differences between two ant cricket species in Nansei Islands: host-specialist versus host-generalist. Insectes Soc. 2009;56(4):389–96. https://doi.org/10.1007/s00040-009-0036-y.

    Article  Google Scholar 

  29. Komatsu T, Maruyama M, Hattori M, Itino T. Morphological characteristics reflect food sources and degree of host ant specificity in four Myrmecophilus crickets. Insectes Soc. 2017;65:47–57. https://doi.org/10.1007/s00040-017-0586-3.

    Article  Google Scholar 

  30. Parker J. Myrmecophily in beetles (Coleoptera): evolutionary patterns and biological mechanisms. Myrmecological News. 2016;65–108.

  31. von Beeren C, Brückner A, Maruyama M, Burke G, Wieschollek J, Kronauer DJC. Chemical and behavioral integration of army ant-associated rove beetles - a comparison between specialists and generalists. Front Zool. 2018;15(1):1–15. https://doi.org/10.1186/s12983-018-0249-x.

    Article  CAS  Google Scholar 

  32. Parmentier T, De Laender F, Wenseleers T, Bonte D. Prudent behavior rather than chemical deception enables a parasite to exploit its ant host. Behav Ecol. 2018;29:1225–33. https://doi.org/10.1093/beheco/ary134.

    Article  Google Scholar 

  33. Valdivia C, Newton JA, Donnell SO, Beeren CV, Daniel J, Kronauer C, et al. Microbial symbionts are shared between ants and their associated beetles. Environ Microbiol. 2022:1–19. https://doi.org/10.1111/1462-2920.16544.

  34. Molero-Baltanás R, Bach De Roca C, Tinaut A, Pérez JD, Gaju-Ricart M. Symbiotic relationships between silverfish (Zygentoma: Lepismatidae, Nicoletiidae) and ants (Hymenoptera: Formicidae) in the Western Palaearctic. A quantitative analysis of data from Spain. Myrmecol News. 2017;24(1):107–22.

    Google Scholar 

  35. Parmentier T, Gaju-Ricart M, Wenseleers T, Molero-Baltanás R. Chemical and behavioural strategies along the spectrum of host specificity in ant-associated silverfish. BMC Zool. 2022;7(1):1–21. https://doi.org/10.1186/s40850-022-00118-9.

    Article  Google Scholar 

  36. Layman CA, Arrington DA, Montaña CG, Post DM. Can stable isotope ratios provide for community-wide measures of trophic structure? Ecology. 2007;88(1):42–8. https://doi.org/10.1890/0012-9658.

    Article  PubMed  Google Scholar 

  37. Janet C. Etudes sur les fourmis, les guêpes et les abeilles. Note 14: Rapports des animaux myrmécophiles avec les fourmis. Ducourtieux, Limoges; 1897.

  38. Pothula R, Shirley D, Perera OP, Klingeman WE, Oppert C, Abdelgaffar HMY, et al. The digestive system in Zygentoma as an insect model for high cellulase activity. PLoS ONE. 2019;14(2):e0212505. https://doi.org/10.1371/journal.pone.0212505.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Wygodzinsky P. On a surviving representative of the Lepidotrichidae (Thysanura). Ann Entomol Soc Am. 1961;54(5):621–7.

    Article  Google Scholar 

  40. Barnhart CS. The Internal Anatomy of the Silverfish Ctenolepisma campbelli and Lepisma saccharinum (Thysanura: Lepismatidae)1. Ann Entomol Soc Am. 1961;54(2):177–96. https://doi.org/10.1093/aesa/54.2.177.

    Article  Google Scholar 

  41. Steiner FM, Csősz S, Markó B, Gamisch A, Rinnhofer L, Folterbauer C, et al. Turning one into five: Integrative taxonomy uncovers complex evolution of cryptic species in the harvester ant Messor “structor”. Mol Phylogenet Evol. 2018;127:387–404. https://doi.org/10.1016/j.ympev.2018.04.005.

    Article  PubMed  Google Scholar 

  42. Perlmutter JI, Bordenstein SR. Microorganisms in the reproductive tissues of arthropods. Nat Rev Microbiol. 2020;18(2):97–111. https://doi.org/10.1038/s41579-019-0309-z.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  43. Kaur R, Shropshire JD, Cross KL, Leigh B, Mansueto AJ, Stewart V, et al. Living in the endosymbiotic world of Wolbachia: A centennial review. Cell Host Microbe. 2021;29(6):879–93. https://doi.org/10.1016/j.chom.2021.03.006.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  44. Zheng J, Wittouck S, Salvetti E, Franz CMAP, Harris HMB, Mattarelli P, et al. A taxonomic note on the genus Lactobacillus: Description of 23 novel genera, emended description of the genus Lactobacillus Beijerinck 1901, and union of Lactobacillaceae and Leuconostocaceae. Int J Syst Evol Microbiol. 2020;70(4):2782–858. https://doi.org/10.1099/ijsem.0.004107.

    Article  CAS  PubMed  Google Scholar 

  45. Duron O, Bouchon D, Boutin S, Bellamy L, Zhou L, Engelstädter J, et al. The diversity of reproductive parasites among arthropods : Wolbachia do not walk alone. BMC Biol. 2008;12:1–12. https://doi.org/10.1186/1741-7007-6-27.

    Article  CAS  Google Scholar 

  46. De Souza DJ, Bézier A, Depoix D, Drezen JM, Lenoir A. Blochmannia endosymbionts improve colony growth and immune defence in the ant Camponotus fellah. BMC Microbiol. 2009;9(1):29. https://doi.org/10.1186/1471-2180-9-29.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Feldhaar H, Straka J, Krischke M, Berthold K, Stoll S, Mueller MJ, et al. Nutritional upgrading for omnivorous carpenter ants by the endosymbiont Blochmannia. BMC Biol. 2007;5(1):48. https://doi.org/10.1186/1741-7007-5-48.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. Gómez-Díaz E, González-Solís J. Trophic structure in a seabird host-parasite food web: insights from stable isotope analyses. PLoS ONE. 2010;5(5):e10454. https://doi.org/10.1371/journal.pone.0010454.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  49. Sprenger P, Müsse C, Hartke J, Feldmeyer B, Schmitt T, Gebauer G, et al. Dinner with the roommates: trophic niche differentiation and competition in a mutualistic ant-ant association. Ecol Entomol. 2021;46(3):562–72. https://doi.org/10.1111/een.13002.

    Article  Google Scholar 

  50. Florencio DF, Marins A, Rosa CS, Cristaldo PF, Araújo APA, Silva IR, et al. Diet Segregation between cohabiting builder and inquiline termite species. PLoS ONE. 2013;8(6). https://doi.org/10.1371/journal.pone.0066535

  51. Parmentier T, Boeckx P, Bonte D, De Laender F. You are what your host eats: The trophic structure and food chain length of a symbiont community are coupled with the plastic diet of the host ant. J Anim Ecol. 2023; 2028–2038. https://doi.org/10.1111/1365-2656.13994

  52. Platner C, Piñol J, Sanders D, Espadaler X. Trophic diversity in a Mediterranean food web—Stable isotope analysis of an ant community of an organic citrus grove. Basic Appl Ecol. 2012;13(7):587–96. https://doi.org/10.1016/j.baae.2012.09.006.

    Article  Google Scholar 

  53. Post DM. Using stable isotopes to estimate trophic position: models, methods and assumptions. Ecology. 2002;83(3):703–18.

    Article  Google Scholar 

  54. Fiedler K, Kuhlmann F, Schlick-Steiner BC, Steiner FM, Gebauer G. Stable N-isotope signatures of central European ants – assessing positions in a trophic gradient. Insectes Sociaux. 2007;54(4):393–402. https://doi.org/10.1007/s00040-007-0959-0.

    Article  Google Scholar 

  55. Wissinger BD, Eigenbrode SD, Marshall JD, Hoines JD, Newingham BA. Altered nitrogen and precipitation along urban gradients affect harvester ants and seed sources. J Arid Environ. 2014;104:96–105. https://doi.org/10.1016/j.jaridenv.2014.02.001.

    Article  Google Scholar 

  56. Parmentier T, Bouillon S, Dekoninck W, Wenseleers T. Trophic interactions in an ant nest microcosm: a combined experimental and stable isotope (δ13C/δ15N) approach. Oikos. 2016;125(8):1182–92.

    Article  CAS  Google Scholar 

  57. Eloi I, Ribeiro KG, Bezerra-Gusmão MA. How host diet impact the life of termitophiles: insights from the Corotoca-Constrictotermes cyphergaster relationship. Insect Soc. 2023;70:317–25. https://doi.org/10.1007/s00040-023-00924-5.

    Article  Google Scholar 

  58. Seifert B. Die Ameisen Mittel- und Nordeuropas. lutra Verlags- und Vertriebsgesellschaft, Görlitz; 2007.

  59. Blüthgen N, Gebauer G, Fiedler K. Disentangling a rainforest food web using stable isotopes: Dietary diversity in a species-rich ant community. Oecologia. 2003;137(3):426–35. https://doi.org/10.1007/s00442-003-1347-8.

    Article  PubMed  Google Scholar 

  60. Salem H, Kirsch R, Pauchet Y, Berasategui A, Fukumori K, Moriyama M, et al. Symbiont digestive range reflects host plant breadth in herbivorous beetles. Curr Biol. 2020;30(15):2875–86. https://doi.org/10.1016/j.cub.2020.05.043.

    Article  CAS  PubMed  Google Scholar 

  61. Moran NA, McCutcheon JP, Nakabachi A. Genomics and evolution of heritable bacterial symbionts. Annu Rev Genet. 2008;42(1):165–90. https://doi.org/10.1146/annurev.genet.41.110306.130119.

    Article  CAS  PubMed  Google Scholar 

  62. Siezen R, Boekhorst J, Muscariello L, Molenaar D, Renckens B, Kleerebezem M. Lactobacillus plantarum gene clusters encoding putative cell-surface protein complexes for carbohydrate utilization are conserved in specific gram-positive bacteria. BMC Genomics. 2006;7(1):126. https://doi.org/10.1186/1471-2164-7-126.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  63. Berasategui A, Axelsson K, Nordlander G, Schmidt A, Borg-Karlson AK, Gershenzon J, et al. The gut microbiota of the pine weevil is similar across Europe and resembles that of other conifer-feeding beetles. Mol Ecol. 2016;25(16):4014–31. https://doi.org/10.1111/mec.13702.

    Article  CAS  PubMed  Google Scholar 

  64. Heo J, Hamada M, Cho H, Weon HY, Kim JS, Hong SB, et al. Weissella cryptocerci sp. nov., isolated from gut of the insect Cryptocercus kyebangensis. Int J Syst Evol Microbiol. 2019;69(9):2801–6. https://doi.org/10.1099/ijsem.0.003564.

    Article  CAS  PubMed  Google Scholar 

  65. Oh SJ, Shin NR, Hyun DW, Kim PS, Kim JY, Kim MS, et al. Weissella diestrammenae sp. nov., isolated from the gut of a camel cricket (Diestrammena coreana). Int J Syst Evol Microbiol. 2013;63(8):2951–6. https://doi.org/10.1099/ijs.0.047548-0.

    Article  CAS  PubMed  Google Scholar 

  66. Praet J, Meeus I, Cnockaert M, Houf K, Smagghe G, Vandamme P. Novel lactic acid bacteria isolated from the bumble bee gut: Convivina intestini gen. nov., sp. nov., Lactobacillus bombicola sp. nov., and Weissella bombi sp. nov. Antonie van Leeuwenhoek. 2015;107(5):1337–49. https://doi.org/10.1007/s10482-015-0429-z.

    Article  CAS  PubMed  Google Scholar 

  67. Chung SH, Scully ED, Peiffer M, Geib SM, Rosa C, Hoover K, et al. Host plant species determines symbiotic bacterial community mediating suppression of plant defenses. Sci Rep. 2017;7(1):39690. https://doi.org/10.1038/srep39690.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  68. Mogouong J, Constant P, Legendre P, Guertin C. The phyllosphere microbiome of host trees contributes more than leaf phytochemicals to variation in the Agrilus planipennis Fairmaire gut microbiome structure. Sci Rep. 2021;11(1):15911. https://doi.org/10.1038/s41598-021-95146-9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  69. Pirttilä AM, Brusila V, Koskimäki JJ, Wäli PR, Ruotsalainen AL, Mutanen M, et al. Exchange of microbiomes in plant-insect herbivore interactions. mBio. 2023;14(2):e03210–22. https://doi.org/10.1128/mbio.03210-22.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  70. Strano CP, Malacrinò A, Campolo O, Palmeri V. Influence of host plant on Thaumetopoea pityocampa gut bacterial community. Microb Ecol. 2018;75(2):487–94. https://doi.org/10.1007/s00248-017-1019-6.

    Article  PubMed  Google Scholar 

  71. Parmentier T, Gaju-Ricart M, Wenseleers T, Molero-Baltanás R. Strategies of the beetle Oochrotus unicolor (Tenebrionidae) thriving in the waste dumps of seed-harvesting Messor ants (Formicidae). Ecological Entomology. 2020;45(3):583–93. https://doi.org/10.1111/een.12832.

    Article  Google Scholar 

  72. Meurville MP, LeBoeuf AC. Trophallaxis: the functions and evolution of social fluid exchange in ant colonies (Hymen ptera: Formicidae). Myrmecol News. 2020;31:1–30. https://doi.org/10.25849/myrmecol.news.

    Article  Google Scholar 

  73. Kolasa M, Kajtoch Ł, Michalik A, Maryańska-Nadachowska A, Łukasik P. Till evolution do us part: the diversity of symbiotic associations across populations of Philaenus spittlebugs. Environ Microb. 2023;25(11):2431–46. https://doi.org/10.1111/1462-2920.16473.

    Article  CAS  Google Scholar 

  74. Elbrecht V, Braukmann TWA, Ivanova NV, Prosser SWJ, Hajibabaei M, Wright M, et al. Validation of COI metabarcoding primers for terrestrial arthropods. PeerJ. 2019;7:e7745. https://doi.org/10.7717/peerj.7745.

    Article  PubMed  PubMed Central  Google Scholar 

  75. Tourlousse DM, Yoshiike S, Ohashi A, Matsukura S, Noda N, Sekiguchi Y. Synthetic spike-in standards for high-throughput 16S rRNA gene amplicon sequencing. Nucleic Acids Res. 2016;45:e23. https://doi.org/10.1093/nar/gkw984.

    Article  CAS  PubMed Central  Google Scholar 

  76. Zhang J, Kobert K, Flouri T, Stamatakis A. PEAR: a fast and accurate Illumina Paired-End reAd mergeR. Bioinformatics. 2014;30(5):614–20. https://doi.org/10.1093/bioinformatics/btt593.

    Article  CAS  PubMed  Google Scholar 

  77. Edgar RC. UNOISE2: improved error-correction for Illumina 16S and ITS amplicon sequencing. Preprint. 2016. http://biorxiv.org/lookup/doi/10.1101/081257.

  78. Rognes T, Flouri T, Nichols B, Quince C, Mahé F. VSEARCH: a versatile open source tool for metagenomics. PeerJ. 2016;4:e2584. https://doi.org/10.7717/peerj.2584.

    Article  PubMed  PubMed Central  Google Scholar 

  79. Edgar RC. Search and clustering orders of magnitude faster than BLAST. Bioinformatics. 2010;26(19):2460–1. https://doi.org/10.1093/bioinformatics/btq461.

    Article  CAS  PubMed  Google Scholar 

  80. Edgar RC. SINTAX: a simple non-Bayesian taxonomy classifier for 16S and ITS sequences. Bioinformatics; 2016. http://biorxiv.org/lookup/doi/10.1101/074161

  81. R Core Team. R: A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing. http://www.R-project.org. 2021

  82. Oksanen J, Simpson GL, Blanchet FG, Kindt R, Legendre P, Minchin PR, et al. vegan: Community Ecology Package. 2022. https://CRAN.R-project.org/package=vegan.

  83. Jackson A, Parnell A. SIBER: Stable Isotope Bayesian Ellipses in R. 2023. https://CRAN.R-project.org/package=SIBER.

  84. Katoh K, Toh H. Parallelization of the MAFFT multiple sequence alignment program. Bioinformatics. 2010;26(15):1899–900. https://doi.org/10.1093/bioinformatics/btq224.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  85. Kalyaanamoorthy S, Minh BQ, Wong TKF, von Haeseler A, Jermiin LS. ModelFinder: fast model selection for accurate phylogenetic estimates. Nat Methods. 2017;14(6):587–9. https://doi.org/10.1038/nmeth.4285.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  86. Hoang DT, Chernomor O, von Haeseler A, Minh BQ, Vinh LS. UFBoot2: Improving the ultrafast bootstrap approximation. Mol Biol Evol. 2018;35(2):518–22. https://doi.org/10.1093/molbev/msx281.

    Article  CAS  PubMed  Google Scholar 

  87. Minh BQ, Schmidt HA, Chernomor O, Schrempf D, Woodhams MD, von Haeseler A, et al. IQ-TREE 2: New models and efficient methods for phylogenetic inference in the genomic era. Mol Biol Evol. 2020;37(5):1530–4. https://doi.org/10.1093/molbev/msaa015.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  88. Parmentier T, Molero-Baltanás R, Valdivia C, Gaju-Ricart M, Boeckx P, Łukasik P, Wybouw N. Co-habiting ants and silverfish display a converging feeding ecology NCBI Sequence Read Archive. 2024. https://www.ncbi.nlm.nih.gov/bioproject/PRJNA1097822.

Download references

Acknowledgements

We thank Alberto Tinaut for his help in the classification of some of our ant specimens and Albena Lapeva-Gjonova for kindly providing insect samples. We are indebted to Katja Van Nieuland and Elise Verstraete for their assistance with the EA-IRMS experiments, and to Mateusz Buczek for assistance with amplicon sequencing library preparation.

Funding

NW was supported by the Special Research Fund (BOF) of Ghent University (01P03420 and 202302/011), TP by a Research Foundation – Flanders (FWO, 1203020N) and a Fund for Scientific Research postdoctoral fellowship (FNRS, 30257865), PŁ by the Polish National Agency for Academic Exchange (NAWA) grant PPN/PPO/2018/1/00015, and CV by the Polish National Science Centre (NCN) grant 2018/31/B/NZ8/01158.

Author information

Authors and Affiliations

Authors

Contributions

TP and NW conceived and designed the experiments. TP, RMB, MGR, and NW performed the experiments. PB and PŁ contributed essential data, infrastructure, and reagents. TP, RMB, CV, MGR, and NW analysed the data. TP and NW wrote the manuscript with input from all authors. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Thomas Parmentier or Nicky Wybouw.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

All images and video material used are made by the authors of this publication.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1: Table S1.

Sampling details of the insect panel. Table S2. PCR reaction conditions. Figure S1. Nest-specific isotopic niche overlap between Messor host and Messor-specialized Neoasterolepisma. Figure S2. The generalist nicoletiids P. pseudolepisma and A. formicaria steal food droplets from ant hosts. Figure S3.Neoasterolepisma silverfish display a differentiated proventriculus with sclerotized teeth-like structures. Figure S4. The nicoletiid P. pseudolepisma lacks sclerotized teeth-like structures in its digestive tract. Figure S5. Myrmecophilous lifestyle shapes the silverfish microbiome (with insect specimen ID). Figure S6. Heterofermentative Lactobacillaceae symbionts infect Messor ants. Figure S7. Maternally transmitted Wolbachia bacteria are pervasive in our insect panel. Figure S8. Ant nest determines the infection profile of Weissella bacteria in Messor-specialized silverfish. Figure S9. Heterofermentative Lactobacillaceae symbionts are generally restricted to host-specialized Neoasterolepisma within our silverfish panel.

Additional file 2: Movie S1. Messor-specialized Neoasterolepisma feeding on flour.

Additional file 3: Movie S2. Messor-specialized Neoasterolepisma in an opened Messor nest.

Additional file 4: Movie S3. Aphaenogaster-specialized Neoasterolepisma (N. delator) running across a stone that covered their Aphaenogaster host nest.

Additional file 5: Movie S4. Generalist Neoasterolepisma (N. curtiseta) running across a stone that covered their Camponotus host nest.

Additional file 6: Data S1.

Raw data to conduct the analyses.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Parmentier, T., Molero-Baltanás, R., Valdivia, C. et al. Co-habiting ants and silverfish display a converging feeding ecology. BMC Biol 22, 123 (2024). https://doi.org/10.1186/s12915-024-01914-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12915-024-01914-0

Keywords