Influential Insider: Wolbachia, an Intracellular Symbiont, Manipulates Bacterial Diversity in Its Insect Host

Abstract

Facultative intracellular symbionts like the α-proteobacteria Wolbachia influence their insect host phenotype but little is known about how much they affect their host microbiota. Here, we quantified the impact of Wolbachia infection on the bacterial community of the cabbage root fly Delia radicum by comparing the microbiota of Wolbachia-free and infected adult flies of both sexes. We used high-throughput DNA sequencing (Illumina MiSeq, 16S rRNA, V5-V7 region) and performed a community and a network analysis. In both sexes, Wolbachia infection significantly decreased the diversity of D. radicum bacterial communities and modified their structure and composition by reducing abundance in some taxa but increasing it in others. Infection by Wolbachia was negatively correlated to 8 bacteria genera (Erwinia was the most impacted), and positively correlated to Providencia and Serratia. We suggest that Wolbachia might antagonize Erwinia for being entomopathogenic (and potentially intracellular), but would favor Providencia and Serratia because they might protect the host against chemical plant defenses. Although they might seem prisoners in a cell, endocellular symbionts can impact the whole microbiota of their host, hence its extended phenotype, which provides them with a way to interact with the outside world.

1. Introduction

Most endosymbionts are facultative but can contribute greatly to insect host fitness. Such effects include a higher fecundity, resistance to heat shock [1,2], protection against natural enemies [3], or plant defensive mechanisms [4]. While insects host more or less complex microbial communities (named microbiota, mostly present in the gut), only a few studies have focused on how an endosymbiont could affect the rest of the bacterial communities.

Wolbachia (α-Proteobacteria: Anaplasmataceae) is a maternally-transmitted facultative endocellular symbiont (i.e., endocytobiont) infecting arthropods and nematodes. It was initially thought to be only present in gonads [5] where it is vertically transmitted from the females into the egg cytoplasm [6], but it is now clear that Wolbachia can be found in many somatic tissues [7,8]. In arthropods, Wolbachia is widespread: 50 to 75% of species are probably infected by this symbiont [9,10,11]. In these hosts, Wolbachia manipulates the host reproduction in order to ensure a high infection rate of female offspring through male feminization, male killing, parthenogenesis, or cytoplasmic incompatibility [9,12]. Several studies have also revealed positive effects of Wolbachia on host fecundity or survival [12]. Additionally, Wolbachia can modify host learning and memory as well as its feeding, sleeping, locomotive, and aggressive behaviors [13]. Despite the extensive literature demonstrating Wolbachia’s effects on their host phenotypes, little is known about whether and how much Wolbachia can affect their host microbiota. However, the impact of the microbiota on many functions of the host is now clear [2,14,15,16]; accordingly, being able to modify this bacterial community would provide Wolbachia with a lever to influence the host.

To our knowledge, only seven studies have assessed the effect of Wolbachia on its host bacterial communities: in Drosophila melanogaster [17,18], in Aedes aegypti [19] and Anopheles stephensi [20] mosquitoes, in Armadillidium vulgare [21], in several tick species [22], and in spider mites [23]. Wolbachia decreased the bacterial diversity of D. melanogaster and of ticks [18,22] but not of mosquitoes [19,20] nor spider mites [23]. Wolbachia modified the relative abundance of bacteria in isopods [21] and A. aegypti [19], but also determined the presence or absence of other bacteria [21]. More hosts obviously need to be investigated before we understand how much and by which mechanism Wolbachia influences whole bacterial communities.

Because Wolbachia influences its host reproduction and gender, whether Wolbachia has the same influence on female and male bacterial communities is an important question. Dittmen and Bouchon (2018) investigated this issue but were not able to conclude because host gender was a confounding factor in their study: there was no way to determine whether Wolbachia-infected isopods were genetically female or male because of male feminization and rare uninfected females [21]. So far, two cases of insect male feminization were reported in Lepidopterans [24] and Hemipterans [25], but none in Dipterans [26].

The cabbage root fly (Delia radicum, Diptera: Anthomyiidae) is a root herbivore of Brassicaceous species such as cabbages and turnips [27]. Its larvae develop by feeding and tunneling inside roots while the adult flies rely on chemical signals emitted by leaves to select the most favorable host plant to lay eggs [28,29]. Wolbachia is a facultative endosymbiont of D. radicum, where in the field some populations are infected and some populations are Wolbachia-free [30]. A laboratory study showed that Wolbachia only moderately influences host life history traits in D. radicum with no obvious positive or negative outcome as a result [31]. The bacterial communities of D. radicum have been described both in the presence [32] and in the absence of Wolbachia [33]. A comparison of these studies seems to show a difference in bacterial diversity and a twofold decrease of the Shannon index in presence of Wolbachia. However, these separate works used different sequencing techniques and did not allow direct measurement of if and how much Wolbachia shaped the bacterial communities of D. radicum. The present study aims to fill this gap.

Here, we measured the impact of Wolbachia on the bacterial communities of D. radicum adult flies. We created two comparable Wolbachia-free (“W−”) and infected (“W+”) lines. We then sequenced the bacterial communities of individuals of both sexes using high-throughput DNA sequencing (Illumina MiSeq) of a 424 bp fragment of the 16S rRNA gene, frequently used in sequencing studies that also identifies taxa to the genus level. Following previous studies [17,18,21,22], we hypothesized that Wolbachia decrease bacterial community diversity, modify its structure, and upset bacterial dominances by altering both bacterial presence and abundances. Our results show that Wolbachia infection decreased the diversity and shifted the structure and composition of adult D. radicum bacterial communities, revealing negative and positive interactions between Wolbachia and the resident bacteria.

2. Materials and Methods

2.1. Fly Population and Line Creation

The D. radicum strain used in the experiment came from pupae collected in 2014 in a broccoli (Brassica oleracea) field at Le Rheu (Brittany, France, 48°07′16″ N, 1°47′41″ O). After emergence, these flies were reared in a climatic chamber (21 ± 1 °C, 60 ± 10% RH, L16:D8) on rutabaga roots (Brassica napus subsp. rapifera) as previously described [34]. For preliminary tests, flies from this rearing population were repeatedly sampled over three years (i.e., approximately 30 generations) to assess their infection status by PCR as described below, which revealed that the population was polymorphic for Wolbachia infection. To establish separate lines according to infection status, 68 inseminated females (8 to 15 days old) were separated to lay eggs individually, after which their Wolbachia infection status was tested by PCR. This revealed 39 Wolbachia-infected and 29 Wolbachia-free females. Their offspring were then pooled according to their mother’s status, establishing the first generation of the W+ and W− lines respectively [31]. After oviposition of each generation, females were collected to assess the presence of Wolbachia and confirm its transmission. These steps thus allowed the creation of a Wolbachia-free (“W−”) and a Wolbachia-infected (“W+”) population sharing the same genetic background, which was also used and described in our previous work [31].

The 47 flies used in our experiment came from the sixth generation (i.e., since the creation of both lines) and were collected alive and fed between 7 and 10 days after emergence: 11 W− females, 12 W− males, 12 W+ females, 12 W+ males. They were stored in 96% ethanol at –20 °C until further analysis.

2.2. Molecular Analyses of Fly Bacterial Communities

DNA was extracted from the females used to create the lines and from the W+ and W− 6th generation flies used in our experiment by “salting-out” as previously described [33].

To confirm the presence of Wolbachia in females creating the lines and in our 6th generation flies, we performed PCR using primers FbpA_F1 (5′-GCTGCTCCRCTTGGYWTGAT-3′) and FbpA_R1 (5′-CCRCCAGARAAAAYYACTATTC-3′) [10] in conditions previously described [31].

To analyze D. radicum bacterial communities, a 424 bp fragment of the V5–V7 region of the bacterial 16S rRNA gene was amplified using the primers 799F (5′-AACMGGATTAGATACCCKG-3′) and 1223R (5′-CCATTGTAGTACGTGTGTA-3′). PCR amplification, library preparation, Illumina MiSeq sequencing (i.e., 2 × 300 bases paired-end version), demultiplexing, and barcode suppression in our 6th generation flies were performed by GenoScreen (Lille, France) as previously described [33].

2.3. Bioinformatical and Statistical Analyses

Analyses were performed using the R software [35]. The dada2 workflow (v. 1.8, “dada2” R package; [36]), based on Divisive Amplicon Denoising Algorithm (“DADA”) was adapted (trimming, error rate learning, and sequence length inspection) as previously described [33] and used on the 47 samples to obtain an amplicon sequence variant (ASV) table. ASV identified fine-scale variations down to the genus level compared to operational taxonomic units.

2.3.1. Data Cleaning

Raw data were handled as previously described [33] using the R software [35], with the “phyloseq” and “microbiome” packages [37,38] and the “ggplot2” package for the construction of the plots [39]. Data were rarefied at a sample size of 3500, then expressed in per mille proportions and filtered from the proportions lower than 1/1000.

2.3.2. Bacterial Diversity and Structure

The alpha diversity of the bacterial communities was analyzed using rarefied and proportion-expressed data by calculating the number of observed ASVs, the Shannon index, and the evenness (i.e., Pielou index). The effect of Wolbachia, the gender of individuals, and the interaction between both factors on the alpha diversity was tested using linear models (type II ANOVA, F-test).

The beta diversity of the bacterial communities was assessed using rarefied, proportion-expressed and filtered data. Beta diversity analyses were performed on both presence/absence data and abundance data. The community structure was analyzed: using (i) the Hellinger distance and a transformation-based redundancy analysis (tb-RDA) on the presence/absence data and (ii) the Bray–Curtis dissimilarity matrix and a distance-based redundancy analysis (db-RDA) on the abundance data. The effects of Wolbachia, the gender, and their interaction were tested on each type of community structure with a type II permutation F-test for constrained multivariate analyses. Data were plotted using the “MVA.plot” function from the “RVaideMemoire” package [40].

2.3.3. Bacterial Taxonomy

Differences in the presence (i.e., frequency) and in the abundance of bacterial genera between the Wolbachia treatment, the gender of individuals, and the interaction of both factors were tested. For the presence/absence data, the frequency of each genus was tested with a generalized linear model (GLM, binomial error, logit link function) and a likelihood-ratio test. For abundance data, we built differential heat trees with the “metacoder” package [41] to visualize community data at every taxonomical scale (i.e., from phylum to genus). On the heat trees, the default Wilcoxon rank-sum test and p values corrected with the “False Discovery Rate” (FDR) were used to assess the effects of Wolbachia, including and excluding the effect of the gender of the individuals.

The presence of specific or shared taxa between W− and W+ treatments, also including and excluding the effect of the gender of the individuals, was assessed using another type of heat trees on the presence/absence table as previously described [33]. Thus, only taxa present in all flies of one or two compared treatments were colored on the differential heat trees.

2.3.4. Network Analysis

A network analysis was conducted with the SparCC method (Sparse Correlations for Compositional data) and the thresholds of –0.5 and 0.5 for the Pearson correlation coefficient. To determine how Wolbachia is correlated to other bacterial genera, we used the “SpiecEasi” [42], “igraph” [43], and “qgraph” [44] packages, as previously described [45]. This analysis was performed on the whole rarefied dataset (W− and W+ individuals together), as well as on W− and W+ samples separately. Several network features were calculated:

• the small-worldness score (i.e., if score is higher than 1, the network is considered to be a small-world type which “most nodes are accessible to every other node through a relatively short path” [45]);
• the modularity (i.e., the density of the network connections within certain groups of nodes and sparse connections);
• the number of clusters (using the walktrap algorithm);
• the link density (i.e., the proportion of possible links between taxa) obtained using the “normalized = TRUE” argument of the “degree” function (“igraph” package);
• the hubbiness score (i.e., the probability for a taxa to be a hub genus);
• the number of articulation points (i.e., nodes, also called vertices, which removals increased the number of connected components).

3. Results

After sequencing, the mean total read depth was 17,961 ± 446 for Wolbachia-free (“W−”) females; 18,584 ± 1505 for W− males; 18,640 ± 752 for Wolbachia-infected (“W+”) females, and 18,519 ± 712 for W+ males. Overall, 3206 ASVs were detected. After the rarefaction step, 2081 taxa and 1 sample (W− male) were eliminated; 702 ASVs remained after the proportion-expressed and filtration steps.

3.1. Assessment of Wolbachia

The Wolbachia genus was confirmed to be absent from all W− female and male samples while it was detected in 100% of the W+ female and 83% of the W+ male samples (Figure S1). However, one female and two male W+ samples had a very low abundance of Wolbachia (<3‰) and were thus removed from the dataset before further analysis, along with ASVs only detected in these three samples.

3.2. Diversity and Structure of the Fly Bacterial Communities

Alpha diversity, represented by the number of observed ASVs (F_1.39 = 13.49; p = 0.001), the Shannon index (F_1.39 = 22.05; p < 0.001), and the evenness (F_1.39 = 25.00; p < 0.001), was significantly reduced by Wolbachia (Figure 1). The number of observed ASVs (F_1.39 = 2.25; p = 0.141), the Shannon index (F_1.39 = 3.59; p = 0.098), and the evenness (F_1.39 = 3.95; p = 0.098) were not influenced by gender. The Wolbachia × gender interaction did not affect the number of observed ASVs (F_1.39 = 2.59; p = 0.115), the Shannon index (F_1.39 = 3.41; p = 0.108), and the evenness (F_1.39 = 3.62; p = 0.108).

Beta diversity was affected by Wolbachia for both analyses (tb-RDA: F = 3.70; p = 0.001, db-RDA: F = 7.90; p = 0.001, Figure 2) but not by gender (tb-RDA: F = 1.23; p = 0.163, db-RDA: F = 1.26; p = 0.246) nor by the Wolbachia × gender interaction (tb-RDA: F = 0.80; p = 0.708, db-RDA: F = 0.60; p = 0.789). Our tb-RDA and db-RDA models explained 12.86% and 20.09% of the constrained variance respectively, with Wolbachia explaining 7.02% and 14.23%, gender 2.33% and 0.30%, and their interaction 1.52% and 14.81% of the variance.

3.3. Dominant Bacterial Taxa

The bacterial communities of D. radicum were mainly composed of Proteobacteria, followed by the Bacteroidetes, Firmicutes, Gemmatimonadetes, and Verrucomicrobia phyla (Figure S2). In the absence of Wolbachia, Erwinia largely dominated the communities (Table S1), with a few γ-proteobacterial Enterobacteriaceae (Trabulsiella), Moraxellaceae (Alkanindiges and Acinetobacter), and Cellvibrionaceae (Cellvibrio) (Figure 3).

A total of 660 ASVs were detected (Table S2), corresponding to 89 different genera (Table S1). Six genera dominated relative abundances: Wolbachia (8 ASVs), Erwinia (12 ASVs), Pseudomonas (74 ASVs, γ-Proteobacteria class), Staphylococcus (20 ASVs, Bacilli class), Sphingobacterium (84 ASVs, Bacteroidia class), and Trabulsiella (3 ASVs, γ-Proteobacteria class) in a decreasing order. There were 72 and 63 genera present in W− and W+ samples respectively.

3.4. Influence of Wolbachia on Other Bacteria

The presence of Wolbachia significantly increased the frequency and the relative abundance of Providencia and Serratia but decreased the frequency of 26 genera and the abundance of 16 genera (Figure 4, Table S1). Two genera were also significantly influenced by gender: Staphylococcus was more frequent in females and Novosphingobium in males. When comparing bacterial abundances between gender within the same treatment, we found no difference for W+ and only few differences for W− flies: only Staphylococcus and Rahnella were more abundant in W− females (Figure S3).

Moreover, the Enterobacteriaceae family was the only taxon shared by both sexes of both W− and W+ treatments (Figure S4A). Seven bacterial genera (i.e., the γ-proteobacterial Erwinia, Trabulsiella, Pseudomonas, Acinetobacter, Alkanindiges, Cellvibrio, and the α-proteobacterial Sphingomonas) were shared between all W− female and male flies, while Wolbachia itself was the only genus shared by all W+ flies of both sexes (Figure S4B). In addition to Wolbachia, Serratia was always present, but only in W+ females.

A network analysis of the whole dataset showed that the bacterial communities formed a small-world network, with a small-worldness score of 1.32 and that only a subset of bacteria were connected to each other as the network modularity value was of 0.035, thus rather low (Figure S5). The largest subnetwork (Figure 5) contained two clusters of 19 and 2 bacterial genera. The subnetwork was characterized by the presence of 10 hub bacteria (ANPR, Caulobacter, Sphingomonas, Flavobacterium, Sphingobacterium, Acinetobacter, Alkanindiges, Cellvibrio, Erwinia, Trabulsiella) and 4 articulation points (Brevundimonas, Sphingobacterium, Acinetobacter, and Trabulsiella). In the network, the most interconnected bacteria was Wolbachia, which was significantly and positively correlated to 2 bacteria (Providencia and Serratia) and negatively correlated to 8 bacteria (Staphylococcus, Flavobacterium, Sphingobacterium, ANPR, Acinetobacter, Alkanindiges, Cellvibrio, and Erwinia in bacterial phyla order).

When comparing the W− and W+ datasets separately, both also had bacterial communities forming small-world networks respectively with a score of 3.82 and of 1.32. However, the W+ network had sparser connections than the W− network (modularity: 0.066 and 0.406 respectively). The W− network contained 3 clusters of 13, 4, and 3 bacteria, and was characterized by 7 hub bacteria and 6 articulation points while the W+ network had 2 clusters of 20 and 2 bacteria, with Wolbachia being the only hub bacteria and articulation point (Figure S6).

4. Discussion

We found that Wolbachia infection significantly decreased the diversity of D. radicum bacterial communities and modified their structure and composition, these effects being similar in both sexes. Additionally, 8 bacteria were negatively correlated to Wolbachia infection (most markedly Erwinia but also Staphylococcus, Flavobacterium, Sphingobacterium, ANPR, Acinetobacter, Alkanindiges, and Cellvibrio) while the correlation was positive for Providencia and Serratia in the bacterial network.

4.1. Wolbachia Reduces the Diversity and Modifies the Structure of D. radicum Bacterial Communities

Wolbachia infection significantly reduced bacterial diversity in its host by 43% (Shannon index 1.72 vs. 2.99 in Wolbachia-free (“W−”) flies) and decreased the modularity of the microbial network. Such a decrease supports our prediction and the ones made in our previous work [33]. Similar diversity values were found previously in W− flies, sequenced in the same batch as our samples [33]. The diversity we found here in our Wolbachia-infected (“W+”) flies seems higher than previously described where OTUs was used [32], possibly due to the difference in taxonomy resolution between ASVs and OTUs. These authors also sampled directly in the field [32] while our stock was reared for several years in the laboratory—the difference of bacterial diversity between field and laboratory insect samples is already known [46,47,48]. A lower diversity in W+ hosts was also found in D. melanogaster using the Simpson diversity index compared to W− individuals [18].

In our study, Wolbachia also changed the community structure of its host microbiota as well as the bacterial network. Among the seven previous similar studies [17,18,19,20,21,22,23], only three analyzed bacterial community structure. Our result is consistent with that found in isopods [21] and spider mites [23] but not with the mosquito study [20], which found that community structure was not affected by Wolbachia infection. Apart from host effects, such differences could be due to the method used to obtain W− and W+ individuals; like Dittmer and Bouchon (2018), we used a naturally polymorphic stock to obtain W− and W+ lines [21] while Chen et al. (2016) used a tetracycline treatment [20] which is bound to impact bacterial communities [33].

4.2. Wolbachia Changes the Composition of the Bacterial Communities

We found that in W− individuals, γ-Proteobacteria dominate the D. radicum microbial community (mostly through Erwinia). Similarly, Erwinia was previously detected, with other Enterobacteriaceae, at the larval stage of W− D. radicum but it was barely present in our previous study on W− adult flies [33]. Such difference with the present study could be due to the origin of the fly population (collected in 2014 here vs 2015 [33]) and due to Erwinia abundance varying in the field because of climatic conditions and differently acquired through feeding [49].

Interestingly, the prevalence of Wolbachia has been recently assessed in D. radicum populations from different fields in Brittany (France) and the level of natural infection was rather low, ranging from 0 to 10% [30]. Based on this observation, it could be considered that the W− microbiota may be the “normal” or native microbiota of this host.

In the presence of Wolbachia, the number of bacterial genera decreased similarly to results from previous studies [32,50]. However, despite Wolbachia presence, a couple of bacteria were also very abundant in those previous studies: the α-proteobacterial Gluconacetobacter accounted for a fifth of the total number of reads [32] while several γ-Proteobacteria (Buttiauxella, Morganella, Providencia, and Rahnella) were abundant in D. radicum adult flies [50]. Here, Wolbachia was the only abundant bacteria in W+ flies and the difference with the two previous studies may come from the fly population origin or from molecular protocols (PCR and/or sequencing).

4.3. Wolbachia Influence Male and Female Bacterial Communities Equally

We found that the insect gender did not strongly shape D. radicum bacterial communities and that the presence of Wolbachia did not induce major changes between female and male microbiota. Recent studies on the cabbage root fly found similar results, with no gender effect at all in W+ hosts [50] and a small gender effect only in W− ones [33]. The weak gender effect we found is consistent with Wolbachia being similarly abundant in females and males (Figure S1).

4.4. Negative Interactions with Wolbachia

We showed that Wolbachia was negatively correlated to eight bacteria, which were differently impacted. Here, Erwinia was the most impacted as it dominated the community in the absence of Wolbachia but could not be detected in its presence. Erwinia are multi-faceted bacteria which can be either beneficial or harmful to their insect hosts. For instance, Erwinia can improve host nutrition in the olive fly Bactrocera oleae by providing it with nitrogen through nitrogen fixation and recycling of non-essential amino acids and urea [51] or by producing cellulase, an enzyme that degrades the cellulose of plant cell walls [52]. An Erwinia species from D. radicum larval gut is highly resistant to isothiocyanate compounds [53], which are toxic to herbivorous insects [54] and are emitted by plants as a defense [55]. While Erwinia protect Lutzomyia longipalpis sandflies against parasitism by Leishmania [56], they are on the contrary pathogenic for their pea aphids hosts Acyrthosiphon pisum [57,58]. Similarly to our study, Wolbachia and Erwinia seem strikingly unable to cohabit in pea aphids [59] or in D. radicum adult flies [32,50]. The apparent antagonism we found between Wolbachia and Erwinia could mean that Erwinia is pathogenic to D. radicum and that Wolbachia is selected to protect its host—like it does in mosquitoes (Anopheles sp.) against Plasmodium sp., the agent of the malaria disease [60] or in some Drosophila species where it protects against viruses [3]. In support of this hypothesis, a case of Wolbachia protection against the pathogenic Erwinia carotorovra was demonstrated in mosquitoes (Aedes aegypti)—though not in drosophila [61].

Interestingly, an Erwinia-like symbiont decreases Wolbachia load in the giant scale Coelostomidia wairoensis and the authors hypothesize a competition for resources between the two bacteria [62]. Because Wolbachia is intracellular, such a competition would seem to require that the Erwinia-like symbiont also lives inside its host cells. This might be the case since a phylogenetic study demonstrated that Erwinia is closely related to Buchnera, the aphid obligate intracellular symbiont [63]. In the olive fly, Erwinia is indeed intracellular at the larval stage (in the mycetoma, i.e., midgut gastric ceca) and extracellular only at the adult stage (in the esophageal bulb) [64]. A similar competition hypothesis was proposed in mosquitoes where Wolbachia and Asaia exclude one another in the reproductive organs where they may compete for the same anatomical niche and infection route toward the next generation [65]. Our observations would therefore warrant further examination of the precise cellular localization of Erwinia in larval and adult D. radicum.

The abundance of the seven other bacteria negatively correlated to Wolbachia infection was far less drastically impacted than that of Erwinia, and these bacteria often play positive roles in their insect hosts. The Bacilli Staphylococcus reduces parasitism by Leishmania in sandflies [56] and also frequently occurs in the order of Lepidoptera, where it may overcome plant protease inhibitor defenses [14]. The Bacteroidia Flavobacterium helps digesting plant material by producing cellulase in three phytophagous insect species [52] while Sphingobacterium induces resistance against fungal infection in Delia antiqua larvae [66]. Although the α-proteobacterial ANPR or Rhizobium is usually known as a nitrogen-fixing bacterium living in symbiosis with legume roots [67], it has also been detected in insects [68], where a gene associated to nitrogen fixation was revealed in ants that host Rhizobiales [69]. The γ-proteobacterial Acinetobacter improves both its host nutrition and defense by scavenging nitrogen [70], producing cellulase [52], and resisting and degrading plant defenses, respectively in D. radicum [53] and in the gypsy moth [71]. Alkanindiges is not commonly found in insects but was detected in ants [72] while Cellvibrio was first obtained from field soil in Japan but was also detected in a beetle species [73]; the latter bacterial genus is known to degrade polysaccharides such as cellulose [74] which would help the host digesting plant material.

Our results agree with previous studies where Wolbachia was found to compete with insect microbiota [75] and also to be a highly interconnected taxon in bacterial networks, where it seems to exclude most bacteria such as Acinetobacter in mosquitoes [46] and to decrease the number of hub species and articulation points here. Moreover, all the negatively correlated bacteria we found were absent from Wolbachia-infected D. radicum flies in the previous studies using that host [32,50]. However, it remains to be demonstrated if (and how) Wolbachia truly interacts with these bacteria; however convergent, the observations and correlations obtained here or from the literature are suggestive but still insufficient to establish a causal link.

4.5. Positive Interactions with Wolbachia

We demonstrated that Wolbachia was positively correlated to Providencia and Serratia. The γ-proteobacterial Providencia is resistant to plant defense isothiocyanates [53] and might provide protection to the host gut, where it might also reduce parasite abundance [56]. Serratia has various functions that could clearly benefit the host—such as producing cellulase [52], resisting plant defenses [53], promoting the host resistance against parasites [56] and fungi [66]—but it can also be entomopathogenic [76].

So far, interactions involving Wolbachia have mainly been studied to assess how Wolbachia itself influences the host phenotype or protects the host against pathogens. Few studies have attempted to determine how Wolbachia combined with other bacteria might benefit their common host. Similarly to our study, Providencia and Serratia have been previously found to be simultaneously present in D. radicum bacterial communities [33,53] even when adult flies were infected by Wolbachia [50]. While an exclusion of Serratia by Wolbachia was observed in mosquitoes [46], a co-occurrence was found on the contrary in six Drosophila species [77] and in Hormaphidinae and pea aphids [59,78]. The positive correlation we found suggests that Wolbachia may benefit from the persistence of Providencia and Serratia, which indicates that the effect of the latter two genera is probably beneficial (and at least not pathogenic) for the D. radicum host. Such correlations call for further studies demonstrating actual beneficial interactions.

4.6. Bacterial Switch, Yet the Same Host Performance

Although Wolbachia infection strongly modifies the D. radicum microbiota, the flies seem to perform well nevertheless. In a study specifically assessing the impact of Wolbachia infection on D. radicum fitness, opposite but minor effects compensated one another and the fitness of W− and W+ individuals did not differ significantly as a result [31]. An unaffected performance is expected if different bacteria play the same roles in both W− and W+ flies (functional redundancy), which would ensure the proper development of the insect host through maintained nutrition or defense. While the ability of Wolbachia to protect some hosts against pathogens has been recognized, its positive impact on host nutrition is less known [79], although it has been shown to synthesize B vitamins, improving host reproduction in the bedbug Cimex lectularius [80]. Here, an hypothesis would be that Erwinia and the other bacteria negatively correlated to Wolbachia infection contribute to D. radicum nutrition and resistance against plant defenses and pathogens in W− flies, while Wolbachia and the bacteria positively correlated to its abundance fulfill these roles as efficiently in W+ flies, resulting in similar performances in both treatment (see

Table 1. Potential functional redundancy between bacteria of Wolbachia-free (“W−”) and infected (“W+”) flies.

	Genus	Nutrition	Plant Defense Resistance or Degradation	Pathogen Resistance
W− flies	Erwinia γ	Cellulase synthesis [52] Nitrogen fixing and recycling [51]	Isothiocyanates [53]	Yes [56]
	Staphylococcus †	-	Protease inhibitors [14]	Yes [56]
	Flavobacterium *	Cellulase synthesis [52]	-	-
	Sphingobacterium *	-	-	Yes [66]
	ANPR α	Nitrogen fixation [69]	-	-
	Acinetobacter γ	Cellulase synthesis [52] Nitrogen scavenger [70]	Isothiocyanates [53] Phenolic glycosides [71]	-
	Alkanindiges γ	-	-	-
	Cellvibrio γ	Cellulose degradation [74]	-	-
W+ flies	Wolbachia α	B vitamins synthesis [80]	-	Yes [3,60]
	Providencia γ	-	Isothiocyanates [53]	Yes [56]
	Serratia γ	Cellulase synthesis [52]	Isothiocyanates [53]	Yes [56,66]

^†: Bacilli; *: Bacteroidia; ^α: α-Proteobacteria; ^γ: γ-Proteobacteria. ANPR = Allorhizobium-Neorhizobium-Pararhizobium-Rhizobium.

for supporting information). However, we did not study bacterial functions but taxonomy, down to the genus level, and different species from the same genus may hold different functions. Whether any of these bacteria are indeed involved in D. radicum metabolism or protection against plant defenses remains to be demonstrated through the assessment of bacterial species and gene expression (i.e., functions).

5. Conclusions

Our study demonstrates and quantifies a strong Wolbachia impact on its D. radicum host microbiota. It highlights the potential importance for the host of microbial interactions taking place within its microbiota. However, our approach was correlative; more direct evidence will be required to identify the molecular mechanisms (e.g., gene expression) underlying such host–symbiont and microbial interactions at the species level. Considering that the effects of microbiota on host extended phenotypes have been largely recognized in many taxa, Wolbachia most probably indirectly modifies its host extended phenotype whenever it is present (independently from well-known reproductive effects such as cytoplasmic incompatibility or feminization). Furthermore, since most of the microbiota is found in the gut, which is connected to the environment at both ends through oral secretions and feces, infection by Wolbachia can also modify signals unwittingly sent by the host in its environment [30]. Our results indicate that the microbiota could be a lever on which intracellular symbionts can pull to influence the outside world.