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Convergent loss of chemoreceptors across independent origins of slave-making in ants

View ORCID ProfileEvelien Jongepier, View ORCID ProfileAlice Séguret, View ORCID ProfileAnton Labutin, View ORCID ProfileBarbara Feldmeyer, View ORCID ProfileClaudia Gstöttl, View ORCID ProfileSusanne Foitzik, View ORCID ProfileJürgen Heinze, View ORCID ProfileErich Bornberg-Bauer
doi: https://doi.org/10.1101/2021.05.11.443570
Evelien Jongepier
aInstitute for Evolution and Biodiversity, Westfälische Wilhelms University, Münster, Germany
bInstitute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Amsterdam, The Netherlands
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Alice Séguret
aInstitute for Evolution and Biodiversity, Westfälische Wilhelms University, Münster, Germany
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Anton Labutin
aInstitute for Evolution and Biodiversity, Westfälische Wilhelms University, Münster, Germany
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Barbara Feldmeyer
cSenckenberg Biodiversity and Climate Research Centre, Frankfurt am Main, Germany
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Claudia Gstöttl
dInstitute for Zoology, University of Regensburg, Regensburg, Germany
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Susanne Foitzik
eInstitute of Organismic and Molecular Evolution, Johannes Gutenberg University, Mainz, Germany
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Jürgen Heinze
dInstitute for Zoology, University of Regensburg, Regensburg, Germany
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Erich Bornberg-Bauer
aInstitute for Evolution and Biodiversity, Westfälische Wilhelms University, Münster, Germany
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Abstract

The evolution of an obligate parasitic lifestyle often leads to the reduction of morphological and physiological traits, which may be accompanied by loss of genes and functions. Slave-maker ants are social parasites that exploit the work force of closely related ant species for social behaviours such as brood care and foraging. Recent divergence between these social parasites and their hosts enables comparative studies of gene family evolution. We sequenced the genomes of eight ant species, representing three independent origins of ant slavery. During the evolution of eusociality, chemoreceptor genes multiplied due to the importance of chemical communication in societies. We investigated evolutionary patterns of chemoreceptors in relation to slave-making in ants. We found that slave-maker ant genomes harboured only half as many gustatory receptors as their hosts, potentially mirroring the outsourcing of foraging tasks to host workers. In addition, parasites had fewer odorant receptors and their loss shows patterns of convergence across origins of parasitism, representing a rare case of convergent molecular evolution. This convergent loss of specific odorant receptors suggests that selective deprivation of receptors is adaptive. The 9-exon odorant receptor subfamily, previously linked to social evolution in insects, was significantly enriched for convergent loss across the three origins of slavery in our study, indicating that the transition to social parasitism in ants is accompanied by the loss of receptors that are likely important for mediating eusocial behaviour. Overall, gene loss in slave-maker ants suggests that a switch to a parasitic lifestyle accompanies relaxed selection on chemical perception.

INTRODUCTION

Gene losses are pervasive throughout the animal kingdom [Guijarro-Clarke et al., 2020] and may constitute a frequent adaptive evolutionary response [Albalat and Cañestro, 2016]. Indeed, the less-is-more hypothesis [Olson, 1999] proposes that adaptive loss of gene function may occur often and spread through populations, as a change in environment or behaviour can render certain genes non-essential. Additionally, gene loss can open alternative evolutionary trajectories through modifications of genetic network structure, and can even lead to higher fitness in certain environments [Helsen et al., 2020]. Multiple studies have reported cases of convergent gene losses across independent lineages. Examples are the loss of an enzyme required for vitamin C biosynthesis in several vertebrate lineages [Drouin et al., 2011] and the convergent loss of Paraoxonase 1 in several marine mammals [Meyer et al., 2018]. The latter is likely due to parallel shifts in lipid metabolism in marine ancestors. Such convergent patterns of gene loss accompanying shifts in environment or behaviour suggest that losses may be adaptive. They may reveal which genes are essential in specific environments and which genomic changes underpinned major evolutionary transitions.

One such evolutionary transition and arguably the most common major shift in life history strategy [Poulin and Randhawa, 2015] is the evolution of parasitism. Since parasites exploit their hosts, they often lose the capacity for independent resource acquisition [Sun et al., 2018, Mitreva et al., 2011, Baxter et al., 2010, Kirkness et al., 2010]. Several scenarios may explain the possible benefits of gene losses accompanying the loss of traits during such a transition to parasitism. First, gene losses may release some epistatic constraints because other genes may become free to adapt if those which constrain their activity are lost [Helsen et al., 2020]. Second, losses themselves may change a trait such that a parasite’s fitness is increased, for example because the lost trait itself was detrimental (but not prohibitive) for exploiting the host [Sokurenko et al., 1999]. Finally, losses of genes underlying traits that are dispensable in a new environment (e.g. the shift to parasitic lifestyle) may be favored by selection for a reduction in metabolic costs [Albalat and Cañestro, 2016].

While the benefits of acquired genes and the utilisation of existing or duplicated genes [Kondrashov, 2012, Qian and Zhang, 2014] for novel traits have been well studied through comparative evolutionary genomics and transcriptomics [Zhou et al., 2019, Whitelaw et al., 2020, Bernarda, 2020], the possible adaptive benefits of gene losses have only been inferred from parallel morphological trait evolution. Indeed, technical and phylogenetic limitations make it difficult to elucidate the accompanying molecular patterns. Lost genes can no longer be analysed and host-parasite systems which are amenable to experimental or computational investigations typically consist of phylogenetically distant species. To overcome these limitations, we investigated genomic changes underlying the transition to social parasitism in slave-maker ants, an iconic group of social insects already mentioned by Darwin [1859]. Although all ants are ancestrally eusocial, strongly relying on chemical signals to organise tasks within and outside the social colony [Hölldobler, 1995], some species have secondarily lost key social traits, such as the worker caste in inquiline social parasites, or, to a lesser extent, foraging and nursing behaviours in workers of slave-maker ants [Buschinger, 1986].

Slave-maker ants are obligate social parasites that completely rely on workers of closely related host species for brood care, nest defence, foraging and other nest maintenance tasks, all of which demand chemical communication mediated by olfaction. Furthermore, worker reproduction is uncommonly prevalent in slave-maker ants, contrary to their closely related host, suggesting that slave-maker ant workers may have lost their ability to perceive and respond to queen pheromones [Heinze, 1996]. We expect gene losses, specifically the loss of chemosensory genes which radiated during social evolution in ants, to act as an important mechanism underpinning the loss of social behaviour in slave-maker ants.

The myrmicine Formicoxenus species group (formerly Formicoxenini, [Blaimer et al., 2018]) is a hot spot for the evolution of social parasitism, with at least five independent origins of slave-making [Beibl et al., 2005, Feldmeyer et al., 2017, Prebus, 2017]. Like most social parasites [Emery, 1909], these slave-maker ants from the genera Temnothorax and Harpagoxenus exploit closely related non-parasitic species of Temnothorax and Leptothorax [Hölldobler and Wilson, 1990], although not all members of these taxa are parasitised. The close relatedness between hosts and slave-maker ants and the associated similar genomic architecture render them ideal systems to study co-evolutionary arms races [Foitzik et al., 2001, Feldmeyer et al., 2017, Alleman et al., 2018]. Furthermore, slave-maker ants and hosts share the same nest and thus have very similar ecological and physiological requirements. This reduces possible confounding factors. In addition, closely related non-host, non-parasitic ant species resemble the most likely ancestral state and thus serve as convenient natural controls in genomic comparisons.

In this study, we concentrate on reconstructing the evolutionary history of chemoreceptor (odorant and gustatory) genes and investigate convergent evolutionary patterns across the independent origins of slave-making in ants. We ask: 1) what are the defining changes in chemosensory gene repertoire underlying the repeated evolution of slave-making in ants (specifically, gene losses in these dulotic parasites), 2) are these changes convergent across multiple origins of slave-making in ants, and 3) if so, are these convergent changes (e.g. losses) more frequent than expected by chance? The convergent contraction of these putative gene families would indicate parallel evolutionary changes during a shift towards a parasitic lifestyle and underscore a possible adaptive value of these losses. To address these questions, we analyse high quality genome assemblies of eight ant species based on PacBio long read sequencing technology. These include the genomes of three slave-maker ants, representing three independent and distant origins of social parasitism within the Formicoxenus group; three hosts, which are the primary hosts of the sequenced slave-maker ant species; and two non-host species as outgroups (see Figure 1).

Figure 1.
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Figure 1.

Phylogeny of the focal species in this study. Circles highlight the three independent parasite-host pairs studied. Figure based on Prebus [2017]. Pictures by Barbara Feldmeyer.

RESULTS

Eight newly sequenced ant genomes harbour many chemosensory receptor genes

Using a combination of newly sequenced PacBio reads and Illumina short read genomic data for three slave-maker ant species (Harpagoxenus sublaevis, Temnothorax ravouxi - formerly Myrmoxenus ravouxi -, Tem-nothorax americanus - formerly Protomognathus americanus), three host species (Leptothorax acervorum, Temnothorax unifasciatus, Temnothorax longispinosus) and two non-host outgroup species (Temnothorax rugatulus, Temnothorax nylanderi), we assembled eight novel genomes across three independent origins of slave-making (see Methods for details on sample collection, sequencing and genome assembly). Several genome assembly strategies were explored, resulting in eight highly complete (complete BUSCOs: mean ± S.D. = 98.1% ± 1.2) and comparable genomes (Table 1). We manually annotated 3 718 chemosensory receptor genes across all eight species, including 3 007 odorant receptor genes (Or s) and 711 gustatory receptor genes (Grs).

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Table 1:

Genome assembly statistics.

Extensive chemosensory receptor losses in slave-maker ants, modest expansions in hosts

In order to identify Or and Gr losses or expansions in the eight genomes, we first identified orthologous clusters of Or s and Grs by taking an explicit phylogenetic approach (see Methods, Fig. 2 A1 and Fig. 3 A). Our approach to identify orthologs using not only three host/slave-maker replicates but also multiple outgroup species to differentiate alternative evolutionary scenarios, combined with the manual verification of each putative chemoreceptor annotation, represents the most detailed chemoreceptor analysis to date.

Figure 2.
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Figure 2.

Distribution of odorant receptor gene (Or) gains and losses across species and orthologous clusters.

A1: Phylogenetic clustering of Or s across three slave-maker ant species and their hosts. Species-specific expansions were collapsed for visualisation purposes. Orthologous cluster assignments are displayed through colours in the outer ring. Subfamilies identified in previous studies as being ancestral to the ants, bees and wasps are represented by dark circles and corresponding letters throughout the tree. We found that four of these ancestral clusters were enriched for convergent Or loss in parasites, marked by the red stars in the tree. Triangles on the inner side of the coloured ring show the distribution of gene gains across orthologous clusters and triangles on the outer side of the ring show the distribution of gene losses. Species names at the end of the ring indicate the species in which the gains or losses occurred, with red triangles showing gains/losses in slave-maker ant (parasite) species and blue triangles showing gains/losses in host species.

A2: Zoom-in on ancestral cluster P, containing seven orthologous clusters. Five clusters, in which no genes were gained or lost, were collapsed. In the remaining two clusters, gene copies were convergently lost in all three slave-maker ant species. Red triangles indicate a gene loss, as exhibited by the presence of a copy in a host species, but not in its respective parasite species.

B: Number of Or copies in each focal species. Bars are colour-coded according to lifestyle of the species as in the following graphs, with red representing parasite species, blue host species and grey outgroup species.

C: Relative change in Or repertoire in slave-maker ants compared to their respective hosts, and in hosts compared to their respective parasites.

D: Number of cases of convergent gain (top) or loss (bottom) of Ors in slave-maker ants and in hosts. An event (gain or loss) was defined as convergent if it occurred in all three parasite or host species within an orthologous cluster. The yellow diamonds represent the null-probability, set to the product of the marginal probabilities of loss for each parasite, i.e. the probability that convergent loss occurred even though losses are completely independent in each of the three parasites.

Figure 3.
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Figure 3.

Distribution of gustatory receptor gene (Gr) gains and losses across species and orthologous clusters.

A: Phylogenetic clustering of Grs across three slave-maker ant species and their hosts. The gene tree was constructed using the same methods described in Figure 2. Orthologous cluster assignment is displayed through colours in the outer ring. Subfamilies identified in previous studies as being ancestral to the ants, bees and wasps are represented by dark circles and corresponding letters throughout the tree. Triangles on the inner side of the coloured ring show the distribution of gene gains across orthologous clusters and triangles on the outer side of the ring show the distribution of gene losses. Species names at the top indicate the species in which the gains or losses occurred, with red triangles showing gains/losses in slave-maker ant (parasite) species and blue triangles showing gains/losses in host species.

B. Number of Gr copies in each focal species. Bars are colour-coded according to lifestyle of the species as in following graphs, with red representing parasite species, blue host species and grey outgroup species.

C. Relative change in Gr repertoire in slave-maker ants compared to their respective hosts, and in hosts compared to their respective parasites.

D: Number of cases of convergent gain (top) or loss (bottom) of Grs in slave-maker ants and in hosts. An event (gain or loss) was defined as convergent if it occurred in all three parasite or host species within an orthologous cluster. The yellow diamonds represent the null-probability, set to the product of the marginal probabilities of loss for each parasite, i.e. the probability that convergent loss occurred even though losses are completely independent in each of the three parasites.

To determine where a gene loss had occurred in a slave-maker ant species, for each orthologous cluster we assessed whether slave-maker ant species had fewer chemosensory receptor genes than their hosts and outgroup species. For one-to-one orthologs, this means that a host’s single copy was lost in its parasite. For partial out-paralogs (i.e. those assigned to the same orthologous cluster because the duplication event occurred in the common ancestor of some, but not all of our focal species), this translates into a parasite having lost one or more out-paralogs compared to its host and outgroup species (Supplementary Figure S3). To determine where a gene gain had occurred, we identified orthologous clusters which only contained a single gene copy from each of the host and outgroup genomes, but which contained multiple gene copies in one or several parasite genomes. This indicates the gain of one or several in-paralogs in such parasite species since divergence from their host. The same analyses were conducted for the hosts in comparison to the slave-maker species.

Slave-maker ants exhibited smaller Or repertoires compared to their respective host species and both non-host species (Fig. 2 B). Slave-maker ant genomes contained on average 311 Or s (range 308-315), and the number of Or s did not vary significantly between slave-maker ant species (3-sample test for equality of proportions with continuity correction: χ2 = 1.838, d.f. = 2, padj = 0.3990). In contrast, each host and non-host genome harboured more than 400 Or s (range 403-421, Supp. Table S11), again with Or numbers similar across all host species (3-sample test for equality of proportions with continuity correction: χ2 = 6.427, d.f. = 2, padj = 0.080). Accordingly, we found that slave-maker ants experienced significantly more Or losses than their respective hosts across all three origins of parasitism (Fig. 2 C; Supplementary Table S12; 2-sample test for equality of proportions with continuity correction, L. acervorum/H. sublaevis: χ2 = 58.34, d.f. = 1, padj = 6.6330 × 10-14; T. unifasciatus/T. ravouxi : χ2 = 41.81, d.f. = 1, padj = 1.007 × 10-10; T. longispinosus/T. americanus: χ2 = 49.48, d.f. = 1, padj = 3.014 × 10-12). Slave-maker ants also exhibited smaller Gr repertoires than their respective hosts across all three origins of parasitism (parasite range 41-52; host and non-host range 91-128; Fig. 3 B), with Gr numbers similar across parasite genomes on one hand (3-sample test for equality of proportions with continuity correction: χ2 = 1.927, d.f. = 2, padj = 0.3816) and across host genomes on the other hand (3-sample test for equality of proportions with continuity correction: χ2 = 6.261, d.f. = 2, padj = 0.087). Accordingly, significantly more Gr losses were found in the genomes of slave-maker ants than in the genomes of their respective hosts (Fig. 3 C; Supplementary Table S12; 2-sample test for equality of proportions with continuity correction, L. acervorum/H. sublaevis: χ2 = 52.65, d.f. = 1, padj = 1.1958 × 10-12; T. unifasciatus/T. ravouxi : χ2 = 25.24, d.f. = 1, padj = 5.0760 × 10-7; T. longispinosus/T. americanus: χ2 = 29.59, d.f. = 1, padj = 7.9965 × 10-8). This indicates that the transition to parasitism is associated with extensive losses of both Or s and Grs in the parasites’ genome.

Host species, on the other hand, exhibited modest species-specific expansions of their Or repertoires, but the magnitude of these expansions did not differ from those in slave-maker ant species, with the exception of the species pair H. sublaevis and L. acervorum (for the proportion of Or clusters which underwent expansions in each species, see Supplementary Table S12). L. acervorum exhibited significantly more Or expansions than its parasite H. sublaevis (23 versus 4 clusters; 2-sample test for equality of proportions with continuity correction: χ2 = 12.55, d.f. = 1, padj = 0.0012). Gr expansions were also moderate across host species, but hosts exhibited significantly more species-specific duplications of Grs compared to their respective parasite for two of the three species pairs in our study: H. sublaevis and L. acervorum (2-sample test for equality of proportions with continuity correction: χ2 = 14.45, d.f. = 1, padj = 4.317 × 10-4), and T. ravouxi and T. unifasciatus (2-sample test for equality of proportions with continuity correction: χ2 = 6.299, d.f. = 1, padj = 0.0181).

Convergent levels of chemoreceptor loss in slave-maker ants across three origins of parasitism

Slave-maker ants exhibited comparable levels of Or loss across all three origins of parasitism, ranging from 25.08% in H. sublaevis to 27.69% in T. ravouxi and 29.97% in T. americanus (Fig. 2 C; Supplementary Table S12). Host species on the other hand retained similar numbers of Or s compared to the non-host species. Accordingly, hosts exhibited very low levels of Or loss, ranging from 3.26% in L. acervorum to 7.49% in T. unifasciatus as well as in T. longispinosus.

Similarly, the proportion of Grs that were lost in slave-maker ant species compared to their hosts was comparable across the three origins of parasitism, ranging from 55.56% in H. sublaevis to 47.22% in T. ravouxi and 44.44% in T. americanus (Fig. 3 C; Supplementary Table S12). The proportion of Grs lost in host genomes was much lower than in slave-maker ants, ranging from none in L. acervorum to 8.33% in T. unifasciatus and 4.17% in T. longispinosus. Like in parasites, losses did not differ between host species.

Convergent loss of specific receptors across three origins or parasitism

For both chemoreceptor families, we tested whether convergent loss occurred more often than expected by chance. Convergent loss was defined as the occurrence of chemoreceptor loss in all three slave-maker ant species within an orthologous cluster. In total, 20 out of 307 orthologous odorant receptor clusters showed convergent loss in the three slave-maker ant species (Fig. 2 D), which was more than expected by chance (exact binomial test: expected prob. = 0.0174; observed prob. [95% CI] = 0.0652 [0.0402-0.0988]; n = 307; p = 6.762 × 10-7; power = 0.9235). In contrast, not a single orthologous cluster underwent convergent loss in the hosts. This is not surprising given that loss was so rare in hosts that the probability that all three hosts lost the same Or by chance was only 7.949 × 10-5.

Previous studies on social and solitary Hymenoptera identified 30 Or subfamilies, represented by the dark circles and corresponding letters in Figure 2 A1, each one representing one or a few genes that are ancestral to the ants, bees, and wasps [Zhou et al., 2015, 2012]. We find that four of these ancestral clusters, represented by the red stars in Figure 2 A1, were enriched for convergent Or loss in slave-maker ants (Table 2). These included the 9-exon subtree, which is the largest subtree in ants and is often implicated in the evolution of eusociality. McKenzie et al. (2016) showed exceptionally high gene birth rates for 9-exon Or s, in particular in the ancestors of ants, followed by continued expansions in separate ant lineages. However, none of the ant species studied to date showed particularly high gene death rates. Like the 9-exon Or s, the other three subfamilies enriched for convergent Or loss have also been subject to gene family expansions in the ants (Zhou et al. 2015, Engsontia et al. 2015), including subtrees H, L and P (Fig. 2).

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Table 2:

Or subtree convergent loss statistics (exact binomial test performed for each subtree).

Thirteen out of 72 orthologous gustatory receptor clusters showed convergent loss in the three slave-maker ant species (Fig. 3 D), which was expected by chance (exact binomial test: expected prob. = 0.1457; observed prob. [95% CI] = 0.1806 [0.0998-0.2889]; n = 72; p = 0.4027). No orthologous cluster underwent convergent loss in the hosts. To allow for comparisons between the two chemoreceptor families despite large differences in the total number of receptors, a power analysis was performed. Assuming a sample size of 307 orthologous clusters for Grs, as is the case for Or s in our study, the probability of detecting convergent losses of specific Grs above what is expected by chance was only 35% (i.e. power = 0.35 assuming n = 307 orthologous Gr clusters). In contrast, the probability of detecting significant convergent losses of specific Or s was 92%. This result highlights that the absence of detection of convergent loss for Grs, but not for Or s, is not simply a statistical artefact of the lower sample size for Grs. Rather, it reflects a fundamental difference in effect size (level of convergence) for Grs and Or s.

DISCUSSION

The results presented here demonstrate how, even between closely related species, gene losses accompany the evolutionary transition to becoming a parasite of the sister species. While most studies on gene losses in parasites have so far concentrated on the relationship between species which are essentially unrelated (e.g. bacteria and their animal [Sokurenko et al., 1999] or plant hosts [Hulin et al., 2018], parasitic plants and their distantly related plant hosts [Sun et al., 2018]), the system studied here evolved over a time span of only 8-28 million years [Prebus, 2017].

We concentrated on chemoreceptors because they are pivotal to ant sociality, the key trait which had facilitated the world-wide success of ants in first place ca 100 million years ago [Ward, 2014], and because we expected chemoreceptors to have undergone losses in slave-maker ants alongside the loss of certain social behaviours. Overall, we find smaller repertoires of both Or s and Grs in all three slave-maker ant species compared to their respective host species and the outgroups but we found different patterns for Or s and Grs with respect to the convergence of these losses.

Or s are a hallmark of social insects as they underwent a remarkable gene family expansion in social compared to solitary species. For example, while 66 Or s are known in Drosophila and 20-92 Or s in Lepidopteran genomes, ant genomes feature several hundred Or s [Engsontia et al., 2015, Slone et al., 2017]. With around 400 Or gene copies in each of the host and non-host species, the genomes presented here harbour among the most elaborate repertoire found in ants (see also McKenzie and Kronauer [2018]). Most remarkably, considering that these ant species build relatively small societies (less than 100 members on average) and lack morphological variation in the worker caste, we find that their Or repertoire exceeds even that of the highly social leaf-cutter ants [Engsontia et al., 2015]. However, these high numbers likely reflect the high quality of our PacBio genomes, rather than biological differences and underscore the reliability of our data (see also tables S3-S10). Most importantly, this high quality allows the notoriously difficult inference of absent genomic states (genes).

Furthermore, we find extensive Or losses in all three slave-maker ant species, likely reflecting a diminished need to communicate during foraging and brood care tasks. Such a convergent pattern in the extent of Or losses suggests that conserved genes, which played an important role in the ancestor of the slave-maker ant species studied here, suddenly lost their function or even became maladaptive.

This is further underscored by the observation of repeated loss of exactly the same ancestral Or s in all three parasite lineages (Figure 2 D). This convergence with reference to individual genes suggests that slave-maker ants retain specific receptors that are necessary for the successful identification of host colonies as well as for chemical communication during raids [Regnier and Wilson, 1971], which may translate into convergent loss of the receptors that are not needed for such tasks. Alternatively, this convergence may indicate that the loss of important social traits following the transition to a parasitic life style goes hand in hand with the loss of Or s implicated in specific traits that are instrumental in their sociality. The 9-exon Or subfamily, which has been linked to social signalling and even social evolution in insects [Pask et al., 2017], was significantly enriched for convergent loss in the parasites in our study. This suggests that the transition to slave-making in ants is accompanied by a loss of receptors that are important for mediating eusocial behaviour. Similarly, though to a lesser extent, the convergent loss of Or s from the H and P subtrees in slave-maker ants suggests a loss of receptors linked to colony tasks. Indeed, many Or s in subtrees H and P show worker-biased expression compared to males in various ant species, as well as in the honey bee [Zhou et al., 2015]. Unfortunately, further functional details on the nature of the traits affected by these losses cannot be inferred due to the lack of experimental results for such a large repertoire of genes with presumably complementary (epistatic) and overlapping (pleiotropic) effects. Still, this pattern constitutes another remarkable example of adaptive convergent gene loss, as a shift in environment (here, the social environment) may have rendered specific genes non-essential [Albalat and Cañestro, 2016]. This is reminiscent of studies investigating the transition from social to solitary bees [Wittwer et al., 2017] and provides valuable insight into the conditional importance of these genes under different social environments.

Grs are instrumental for sensing nutrients [Freeman et al., 2014, Xu, 2020] and can be lost upon specialisation. For example, losses of Grs and, to a much lesser extent of Or s, relative to their generalist sister species have been reported in two fly species which specialised on certain food resources [McBride and Arguello, 2007]. In ants, Grs primarily respond to soluble tastants, and are thus presumably involved in foraging and harvesting [Zhou et al., 2012], though their exact functions still remain to be tested. As slave-maker ants outsource these tasks to host workers, thus likely rendering Grs superfluous, we expected to observe random losses of Grs in slave-maker ants across independent origins of social parasitism. Accordingly, we observed significant losses of Grs in all slave-maker ants compared to their hosts.

While slave-maker ants lost a remarkable 50% of their Gr repertoire, no evidence was found for convergent losses of the exact same Gr orthologs in the three independently evolved parasites. Although there are much fewer Gr than Or orthologous clusters, we rule out that the lack of convergent loss in Grs merely reflects a failure to detect convergent losses due to smaller sample size. Indeed, even if there were as many Grs as Or s, our power analysis demonstrates that the probability to detect convergent losses in Grs would still only be 35%, which is substantially less then the >90% found for Or s. Instead, these losses are consistent with strongly diminished need for gustatory reception through reliance on their host workers.

Host species in our study presented comparable numbers of Or s and Grs in relation to non-host species. At first glance, this could indicate that parasitism does not lead to increased selective pressure for a more diverse chemosensory repertoire in host species. However, in host genomes, both Or s and Grs underwent some degree of turnover, as losses and gains are both frequent and balance each other out (Or s: up to 8% of the repertoire was lost in host species, and a similar proportion underwent duplications; Grs up to 8% of the repertoire was lost in hosts, and up to 30% underwent duplications; Figure 2 C and Figure 3 C). This underscores the potential of host species for rapid adaptive responses to changing environmental conditions [Simola et al., 2013]. Indeed, the evolutionary arms race for enemy recognition by the host and detection avoidance by the slave-maker ant species may select, through balancing or negative frequency-dependent selection, for a rapid turnover of nest-mate recognition substances and the associated receptors to detect them. Host species, in particular those in heavily parasitised locales, are thus under strong selection through destructive so-called “slave raids” to rapidly shift their chemosensory repertoire in order to maximise their chances of detecting an ever-changing parasite adversary [Jongepier et al., 2014, 2015, Scharf et al., 2011, Kleeberg et al., 2015, Jongepier and Foitzik, 2016]. The expansion or reduction of large clusters of tandem genes through unequal crossing over may have facilitated such a rapid turnover of receptors in host species.

In summary, our study shows that the slave-maker lifestyle in ants leads to a strong convergent reduction in Or and Gr genes and even convergent loss of specific Or orthologs. This study thus adds to the growing number of studies demonstrating the adaptiveness of gene loss associated with environmental or lifestyle change [Goldman-Huertas et al., 2015, Meyer et al., 2018]. While the results presented here provide compelling evidence for the adaptive nature of chemoreceptor losses in slave-maker ants during speciation, future studies will need to concentrate on the precise dynamics of the observed gene losses and the underlying genetic mechanisms. For example, it would be of interest to investigate the position of receptors lost in the slave-maker ants within genetic networks in the hosts, following the hypothesis that the loss of highly connected genes in parasites may have facilitated the emergence of a distinct phenotype [Helsen et al., 2020]. Additionally, studies of chemoreceptor gene expression would be relevant to investigate whether genes lost in one or several slave-maker ant species exhibit reduced expression in the remaining parasites, under the hypothesis that reduced gene expression precedes a gene loss.

METHODS

Sample collection

To generate genomic data across three independent origins of slave-making in ants, colonies of three slave-maker ant species (Harpagoxenus sublaevis, Temnothorax ravouxi, Temnothorax americanus), three host species (Leptothorax acervorum, Temnothorax unifasciatus, Temnothorax longispinosus) and two non-host outgroup species (Temnothorax rugatulus, Temnothorax nylanderi) were collected in the USA and Central Europe (Supplementary table S1). Multiple samples were pooled for each species to meet the requirements for whole-genome sequencing. For each species, two samples were prepared for WGS: 1) Pacbio Sequel long read library and 2) Illumina paired-end library. Selected host colonies were unparasitised, free-living colonies consisting of only a single species: the focal host. In the parasite colonies, all brood should in principle be parasite brood because host workers do not produce offspring. Nonetheless, to rule out that any of the samples taken from parasite colonies are actually host brood (e.g. relics from previous so-called “slave raids”), only pupae of castes that are morphologically distinct from their host were selected for sequencing (i.e. queen pupae for Temnothorax ravouxi, and queens and worker pupae for Harpagoxenus sublaevis and Temnothorax americanus). Depending on the availability of pupae for each species and the need to pool DNA extractions due to low DNA content, between 28 and 156 pupal samples were obtained for WGS.

Genome sequencing

For each species, two samples were prepared for WGS: 1) PacBio Sequel long read library, aiming at 20 kb library construction and sequencing at 30× coverage; and 2) Illumina paired-end library with 150 bp long reads and 350 bp insert sizes. Only light coloured, unscleratized pupae were selected for sequencing because 1) the lack of a hard cuticle may reduce the risk of shearing high molecular weight DNA and 2) pupae shed most of their gut content which reduces contamination by gut bacteria. Pupae were sampled from their colony as they developed (ca 2 day intervals), snap frozen in liquid nitrogen and stored at -80°C. DNA extractions, quality checks, library preparation and sequencing were performed by Novogene under the umbrella of the Global Ant Genome Alliance [Boomsma et al., 2017]. For read statistics see Supplementary table S2.

Genome assemblies and polishing

Several genome assembly strategies were explored and compared based on assembly size, contiguity and completeness (Supplementary tables S3-S10). For the final assembly, raw PacBio reads were assembled using the Canu [Koren et al., 2016] pipeline (parameter settings: correctedErrorRate=0.15), with K-mer based genome size estimates. The Canu assemblies was polished with Pilon (version 1.22; parameter settings: diploid, fix=all; Walker et al., 2014), using Bowtie2-aligned Illumina short reads (version 2.3.4.1; Langmead and Salzberg, 2012). Raw PacBio reads were mapped against the assemblies with Minimap2 (version 2.1; settings: -ax map-pb; Li, 2018). Assemblies were then processed with Purge Haplotigs (Roach et al., 2018) and FinisherSC (in “fast” and “large” mode; Lam et al., 2015), followed by a final round of polishing with Pilon, Arrow (VariantCaller version 2.1.0) and again Pilon.

Genome size estimates

Genome sizes were estimated using the following two strategies: 1) The K-mer distribution of the Illumina libraries, for which we used the KmerCountExact utility of BBMap [Bushnell, 2015]. This analysis was run for K-mer sizes ranging from 31 to 131, selecting the largest genome size estimate as input for the CANU [Koren et al., 2016] genome assemblies. 2) The coverage of the PacBio-based assembly, where we mapped the original PacBio reads back to the genome assembly using Minimap2 (version 2.1; settings: -ax map-pb; Li, 2018) and determined the coverage frequency distribution with the readhist module of Purge Haplotigs [Roach et al., 2018]. The latter method is likely to yield higher and more correct genome size estimates than the former because large repetitive sequences are collapsed in the K-mer based estimate when they exceed Illumina read length. The coverage based genome size estimates of the final assemblies are very similar to the average genome size of Myrmicinae, which is 329.1 Mb [Tsutsui et al., 2008].

Chemosensory receptor gene annotation

Reference protein predictions were obtained from the Ant Genomes Portal and functionally annotated based on their Pfam A domain content (i.e. gustatory receptors: “Trehalose recp” and “7tm 7”; odorant receptors: “7tm 6”; Finn et al., 2016; version 31). Chemoreceptor genes were manually annotated using a two-pass tblastn/Exonerate - GeMoMa - WebApollo workflow. In the first pass, these reference protein predictions were blasted against the assemblies using tblastn (version 2.6.0; e-value = 1 × 10-3Altschul et al., 1990). Annotations were then obtained with Exonerate (version 2.2.0; parameter settings: --model protein2genome; Slater and Birney, 2005), which was run on those genomic regions with a blast hit. In parallel, we obtained GeMoMa (version 1.4.2; Keilwagen et al., 2016) annotations, based on reference protein predictions as well as the RNA-seq libraries for intron predictions. GeMoMa annotations were filtered using GAF, either retaining only complete gene models or all predictions (i.e. parameter settings: -r 0 -e 0). Annotations were filtered based on their Pfam A annotation, retaining only those genes that had the defining domains. The Exonerate, GeMoMa (i.e. all predictions) and GAF gene models, as well as the mapped RNA-seq reads were used as evidence tracks for manual annotation using WebApollo (version 2.1.0; Lee et al., 2013), which involved manually leveraging all homology and expression evidence to construct the best gene model for each prediction. In the second pass, above workflow was repeated but now with all manual annotations from pass 1 as queries (i.e. from all focal species combined).

Orthology clustering

To identify orthologous clusters, we took an explicit phylogenetic approach using the Python module ETE3 (version 3.1.1; Huerta-Cepas et al. 2016). Specifically, multiple sequence alignments of odorant receptor (Or) and gustatory receptor (Gr) protein sequences from the eight focal species and nine reference species were obtained with MAFFT (version 7.310; Katoh and Standley 2013; parameter settings: --maxiterate 1000 --localpair). Gene trees were constructed with Fasttree (version 2.1; Price et al. 2010; parameter setting: --pseudo) and rooted with the Or co-receptor and the Trehalose receptors, for the Or and Gr tree respectively. The trees were traversed using ETE3 and a clade was labelled as an orthologous cluster if a receptor from a reference species was found as outgroup. In total, 74% of the 379 orthologous clusters were 100% correctly identified and only 2.1% were completely missed. All clusters were thereafter manually curated and split or merged where necessary (for further details see Supplementary Section 3). Next, lowly supported branches (bootstrap value < 0.7) and species-specific expansions were collapsed.

Convergent losses

For both chemosensory receptor families, we tested whether convergent loss occurred more often then expected by chance using a binom.test (R version 3.6.2; R Core Team 2019).

Data availability statement

All raw DNA sequence data underlying this study as well as the novel genome assemblies will be deposited in the National Centre for Biotechnological Information (NCBI) Sequence Read Archive (SRA) and will be accessible upon publication of this manuscript (BioSample accession numbers pending). The odorant and gustatory receptor annotations will be made available in the Dryad Digital Repository (DOI pending) upon publication of this manuscript.

Author contributions

The study was conceived by JH, EBB and SF, and was designed by EJ, JH, EBB and SF. EJ performed the experiments and analysed the data. BF, SF, JH, CG and AL contributed materials and analysis tools. EJ, AS, EBB, SF, JH and BF wrote the paper. Authors declare no conflict of interest.

Acknowledgements

This work was supported by the Deutsche Forschungsgemeinschaft (Bo 2544/12-1, Fo 298/20, He 1623/40).

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Convergent loss of chemoreceptors across independent origins of slave-making in ants
Evelien Jongepier, Alice Séguret, Anton Labutin, Barbara Feldmeyer, Claudia Gstöttl, Susanne Foitzik, Jürgen Heinze, Erich Bornberg-Bauer
bioRxiv 2021.05.11.443570; doi: https://doi.org/10.1101/2021.05.11.443570
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Convergent loss of chemoreceptors across independent origins of slave-making in ants
Evelien Jongepier, Alice Séguret, Anton Labutin, Barbara Feldmeyer, Claudia Gstöttl, Susanne Foitzik, Jürgen Heinze, Erich Bornberg-Bauer
bioRxiv 2021.05.11.443570; doi: https://doi.org/10.1101/2021.05.11.443570

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