Skip to main content

Thank you for visiting You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Inhibition of a nutritional endosymbiont by glyphosate abolishes mutualistic benefit on cuticle synthesis in Oryzaephilus surinamensis

An Author Correction to this article was published on 09 September 2021

This article has been updated


Glyphosate is widely used as a herbicide, but recent studies begin to reveal its detrimental side effects on animals by targeting the shikimate pathway of associated gut microorganisms. However, its impact on nutritional endosymbionts in insects remains poorly understood. Here, we sequenced the tiny, shikimate pathway encoding symbiont genome of the sawtoothed grain beetle Oryzaephilus surinamensis. Decreased titers of the aromatic amino acid tyrosine in symbiont-depleted beetles underscore the symbionts’ ability to synthesize prephenate as the precursor for host tyrosine synthesis and its importance for cuticle sclerotization and melanization. Glyphosate exposure inhibited symbiont establishment during host development and abolished the mutualistic benefit on cuticle synthesis in adults, which could be partially rescued by dietary tyrosine supplementation. Furthermore, phylogenetic analyses indicate that the shikimate pathways of many nutritional endosymbionts likewise contain a glyphosate sensitive 5-enolpyruvylshikimate-3-phosphate synthase. These findings highlight the importance of symbiont-mediated tyrosine supplementation for cuticle biosynthesis in insects, but also paint an alarming scenario regarding the use of glyphosate in light of recent declines in insect populations.


Glyphosate is a widely used, broad-spectrum herbicide that targets the shikimate pathway by inhibition of the 5-enolpyruvylshikimate-3-phosphate synthase (EPSPS)1,2. The shikimate pathway is present in plants, fungi, and bacteria to biosynthesize the aromatic amino acids phenylalanine, tyrosine and tryptophan, as well as folates. As the inhibition of the EPSPS by glyphosate in susceptible plants is lethal3, this herbicide is extensively used in agriculture in combination with genetically modified glyphosate-resistant crops to eliminate competing plants4. Animals, by contrast, are assumed to be unaffected by glyphosate, as they lack the shikimate pathway and meet their demands for aromatic amino acids from external sources5.

However, animals do not live in isolation but engage in manifold mutualistic interactions with microorganisms6. While the microorganisms mostly gain the imminent advantage of a stable environment and the provision of basic nutrients7, animals benefit from the more specialized metabolic capabilities of the symbiont, giving both of them a competitive advantage or the ability to expand to a certain niche8,9,10,11,12,13,14. Specifically, animals often benefit from the metabolic capabilities of microorganisms that they lack themselves, for example, the synthesis of essential amino acids and (B-)vitamins, which is especially important when the insect host feeds on nutritionally unbalanced diets like plant sap or blood14,15. In the same way, semi-essential nutrients, i.e. nutrients like the aromatic amino acid tyrosine that can in principle be derived from the other aromatic amino acids taken up from the diet, but are in certain life stages like the metamorphosis of holometabolic insects still limited, are supplied by many nutritional endosymbionts16,17,18,19. Despite several studies emphasizing that glyphosate displays only “minimal toxicity” in animals via off-target activity due to the lack of the shikimate pathway in their genomes1,20,21, recent work demonstrates that glyphosate does have a negative impact on insects, either directly or by inhibiting the EPSPS of animal-associated, mutualistic bacteria, with negative fitness consequences for the host22,23. In blood-feeding tsetse flies, glyphosate interferes with the biosynthesis of folate by the ɣ-proteobacterial symbiont Wigglesworthia glossinidia24. The herbicide also alters the gut microbiota of honeybees that consequently become more susceptible to opportunistic pathogens25,26. Since many obligate insect endosymbionts encode the shikimate pathway and supply aromatic amino acids to their host19,27,28, glyphosate could prove highly detrimental for diverse insect hosts, with potentially severe ecological implications given the widespread nature of these mutualistic interactions in insects29,30,31. However, the impact of glyphosate on insect–microbe associations remains poorly studied, particularly with respect to obligate nutritional endosymbionts in herbivorous insects.

The cuticle of insects is primarily composed of chitin fibrils enveloped in protein chains rich in aromatic amino acids32,33,34. Additionally, insects modify the native cuticle through the integration of phenolic compounds derived from tyrosine in two processes called melanization and sclerotization, which lead to a cuticle that is darker, harder, and less permeable to water35,36. However, in many herbivorous diets nitrogen in general, but also specifically tyrosine, as well as phenylalanine and tryptophan from which tyrosine could be derived by insects are limited37,38. Among the holometabolous insects, beetles (Coleoptera) are distinguished by an especially strong adult cuticle, including the fully hardened forewings, i.e. the elytrae39. In addition, holometabolous insects develop their full imaginal cuticle during the pupal stage when the insect is undergoing a metamorphosis as well as during the first days as an imago36. As insects are not able to feed during metamorphosis, they are reliant on stored nutrients acquired during their larval development for metamorphosis and cuticle formation. In the case of tyrosine, the amount an insect can store is limited, because the amino acid is toxic in high concentrations40. In this situation, harboring an endosymbiont that can synthesize tyrosine or its precursors chorismate or prephenate5,41 in the moment of demand represents a strategy to cope with the storage problem16,19,42,43.

We recently described a bacteriome-localized Bacteroidetes endosymbiont in the sawtoothed grain beetle Oryzaephilus surinamensis (Coleoptera, Silvanidae)42,43, which is a worldwide distributed pest of cereals and other stored food44. In contrast to many other nutritional endosymbionts, the symbiont of O. surinamensis can be removed by treating the beetle with antibiotics or heat without interrupting the host life cycle42,43. The loss of a nutritional endosymbiont usually has severe effects on its host, e.g. by arresting development and reproduction and/or causing high mortality19. In contrast, experimentally symbiont-deprived (aposymbiotic) O. surinamensis beetles are viable, able to reproduce, and can be maintained in stable aposymbiotic populations under laboratory conditions, allowing to disentangle the effect of symbiont loss from direct antibiotic treatment42. In comparison to symbiont-containing control beetles, aposymbiotic individuals exhibited a 30% thinner and noticeably lighter cuticle, which resulted in a significant fitness decrease due to higher mortality, especially under desiccation stress in stored grain products, the natural habitat of the beetle42.

In this work, we demonstrate (i) that the symbiont genome of O. surinamensis is extremely streamlined, providing precursors for cuticle synthesis via the shikimate pathway, (ii) that exposure to glyphosate compromises the symbiont establishment in O. surinamensis and induces the fitness-relevant cuticular defects of the host in a similar manner as the complete loss of the symbiont, (iii) that these phenotypic effects can be partially rescued by dietary tyrosine supplementation, and (iv) that the shikimate pathways of O. surinamensis as well as many other nutritional endosymbionts contain class I EPSPSs that are predicted to be glyphosate-sensitive. These results experimentally validate the functionality of the shikimate pathway in an obligate endosymbiont and more generally demonstrate the severe impact of glyphosate on organisms that are dependent on bacterial endosymbionts.


Symbiont genome is extremely reduced and GC poor

We sequenced the metagenome of O. surinamensis combining short and long-read technologies (Illumina and ONT) into a hybrid assembly to gain first insights into its symbiont’s metabolic capabilities. As expected, we could detect the 16S rRNA sequence of a Bacteroidetes bacterium in the assembly that matched PCR-based Sanger sequences from previous studies42,43. In total, 13 contigs were extracted from the metagenomic assembly via taxonomic classification, GC content filtering as well as by manually searching for tRNAs and ribosomal proteins of Bacteroidetes bacteria (Fig. 1b). The longest was 74,813 bp and the shortest 6352 bp in length. Together they had a length of 307,680 bp with an average GC content of 16.2%. The draft genome encoded for 299 genes and had a coverage of 120× with short-read sequences and 61× with long-read sequences.

Fig. 1: Shikimatogenerans silvanidophilus, the symbiont of O. surinamensis.
figure 1

a Fluorescence in situ hybridization micrograph of a sagittal section of a 5-day-old O. surinamensis pupa stained with CFB563mod-Cy3 (magenta) and DAPI (white). b Circular representation of the draft genome of S. silvanidophilus. Single contigs are sorted clockwise by length. The outer gray circles denote coverage with long- and short-reads, respectively, the intermediate circles indicate annotated functional KEGG categories separated by direction of transcription (see legend for depicted categories). The inner gray circle denotes relative GC content and the average GC content of 16.2% by the red line. Below: comparison of the functional gene repertoires of Bacteroidetes symbionts in insects. Box colors are based on KEGG’s categories. c Detailled comparison of the amino acid metabolism gene repertoires between the S. silvanidophilus genome (pink), other Bacteroidetes symbionts (left) and Proteobacteria symbionts (right), some of which are known to exclusively provision tyrosine precursors to their insect host (blue).

The phylogenetic reconstruction based on the conserved Clusters of Orthologous Group (COG) genes confirmed the placement of the endosymbiont of O. surinamensis in a group of insect-associated Bacteroidetes bacteria and specifically the close relationship to Blattabacterium spp. and Sulcia muelleri (S. muelleri) that was already previously reported based on a 16S rRNA gene phylogeny (Supplementary Fig. 1)42. The symbiont’s genome encodes for 299 protein-coding sequences, 28 tRNAs and 51 ribosomal proteins (21 SSU and 30 LSU proteins). Based on a set of single-copy marker genes that are assumed to be essential, the O. surinamensis symbiont genome is estimated to be 66.7% complete45. However, this ‘completeness’ measure is based on essential genes in free-living bacteria and known to severely underestimate the completeness of highly eroded genomes of intracellular bacterial symbionts46,47. Concordantly, the estimation falls in the range of other insect-associated Bacteroidetes mutualists that exhibit highly eroded, closed genomes (54.20–67.38% of S. muelleri PSPU and W. monophlebidarum; Supplementary Tables 1 and 2). Despite the remaining gaps in the symbiont genome sequence, the 13 contigs are thus inferred to contain the complete or almost complete set of coding sequences, which is corroborated by the presence of a complement of tRNAs, tRNA synthetases, and ribosomal proteins that is similar to other Bacteroidetes endosymbionts. The contigs are likely also fragments of a single chromosome, as it does not feature duplicated genes, multiple rRNA operons or variable coverage across the different contigs, which are indicative of such fragmentation reported from multiple fragmented chromosomes of Hodgkinia strains of different Magicicada species48,49,50. As an extremely low GC content (16.2%) and long repeat sequences towards contig ends are known issues for sequencing technologies and PCRs51,52,53,54, these features likely prevented successful amplification steps and the in silico assembly of the contigs into a single genome despite the high coverage (120× with short-read sequences and 61× with long-read sequences), especially as the GC content at the ends of most contigs dropped to even lower values (~4% within the last 100 bp).

We also compared the presence and arrangement of the genes between Bacteroidetes endosymbionts of different host insects. A synteny plot (Supplementary Fig. 2) revealed that there is no conserved arrangement of genes between the genomes of related Bacteroidetes symbionts. This likely explains futile attempts to assemble the genome by mapping the assembled contigs to Blattabacterium or S. muelleri as reference genomes or to sort contigs into a single scaffold.

Candidatus Shikimatogenerans silvanidophilus OSUR encodes glycolysis and shikimate pathways

The metabolic repertoire of the O. surinamensis symbiont is highly reduced (Fig. 1b). Apart from general genetic information processing including DNA replication and repair, transcription and translation, it only encodes an extremely limited set of metabolic pathways including a full glycolysis pathway to process glucose-6-phosphate to erythrose 4-phosphate (E4P) and phosphoenolpyruvate (PEP). In addition the genome encodes all the genes of the shikimate pathway except a shikimate dehydrogenase (aroE [EC:]) that utilizes PEP and E4P to produce chorismate, as well as a chorismate mutase to catalyze the conversion of chorismate into prephenate, the precursor of the aromatic amino acids phenylalanine, tryptophan, and tyrosine (Fig. 2). The lack of aroE is described in other tyrosine-supplementing bacterial symbionts: Cd Carsonella ruddii in Pachypsylla venusta55 and Cd Nardonella EPO in Euscepes postfasciatus19. AroD (3-dehydroquinate dehydratase [EC:]) and aroE are also often found as a bifunctional enzyme aroDE (3-dehydroquinate dehydratase/shikimate dehydrogenase [EC:])56, possibly complementing the loss of one of the enzymes. Like all other Bacteroidetes symbionts, the O. surinamensis symbiont genome encodes the bifunctional aroG/pheA gene (phospho-2-dehydro-3-deoxyheptonate aldolase/chorismate mutase [EC:]). The genomic data revealed no transporter for glucose, so it remains unknown how the symbiont acquires the substrate for glycolysis from the host (Fig. 2).

Fig. 2: Metabolism of the symbiont S. silvanidophilus.
figure 2

a Complete, reconstructed metabolism of S. silvanidophilus, as inferred from genomic data. Enzymes and arrows in gray were missing in the genome annotation. Dashed arrows indicate transport processes without annotated transporters, but which are expected to occur based on observed phenotypes. b Schematic diagram of the shikimate pathway in S. silvanidophilus. Dashed arrows represent multiple enzymatic steps. Red boxes: enzyme present in the genome. White box: enzymes not annotated in the genome, but reaction probably catalyzed by another enzyme.

Whether the O. surinamensis symbiont can recycle nitrogen, like Blattabacterium sp.57,58 remains unclear, as it encodes the urease α and γ subunits (ureC [EC:]), but no glutamate dehydrogenase (gdhA) that would allow integrating the resulting ammonium into the amino acid metabolism via glutamate was detected. Instead, it encodes a proline transporter (opuE), proline dehydrogenase [EC:], and oxidoreductase [EC:] to import and convert proline into glutamate59,60, which may then be exported to function as an amino group donor for the synthesis of the aromatic amino acids from chorismate/prephenate by the beetle itself19. This alternative pathway for glutamate synthesis was not described in Blattabacterium61, S. muelleri62, Uzinura diaspidicola63, or Walczuchella monophlebidarum64.

A comparison of the metabolic gene repertoires for amino acid biosynthesis revealed convergent genome erosion between the Oryzaephilus symbiont and ɣ-proteobacterial symbionts known to provision precursors for the host’s cuticle biosynthesis (Fig. 1c). We observed a gradual loss of functions across the Bacteroidetes insect symbionts, with the O. surinamensis symbiont genome exhibiting the most strongly reduced repertoire of biosynthetic genes. A convergent reduction of metabolic functions was observed in the ɣ-proteobacterial symbionts Westerberhardia and Nardonella sp., whose sole metabolic function appears to be the provisioning of aromatic amino acid precursors that are in high demand for cuticle biosynthesis of their insect host19,27,65.

Based on our findings, we propose the name ‘Candidatus Shikimatogenerans silvanidophilus OSUR’ for this endosymbiont of O. surinamensis, henceforth called S. silvanidophilus. The genus name Shikimatogenerans refers to its ability to perform the shikimate pathway. Previous studies have shown that there might be other closely related Bacteroidetes bacteria associated with other beetle families42,66,67. Thus, we propose silvanidophilus as species name to indicate that this symbiont is associated with beetles of the family Silvanidae. As the same studies also revealed that O. mercator has a similar symbiont we also propose to add OSUR to identify the strain associated with O. surinamensis.

Amino acid titers are influenced by symbiont presence

Using the genomic data as a basis, we then asked whether the symbiont-encoded pathways are indeed functional. To this end, we tested if the symbiont presence indeed influenced the titer of aromatic amino acids. This would be expected when the symbiont is delivering prephenate to the host, a precursor that can also be transformed to tyrosine or phenylalanine by the beetles themselves17,27,68. Due to the presence of the proline transporter and proline converting enzymes in the symbiont genome, an influence on proline titer and glutamic acid was also expected based on the metabolic reconstruction. After hatching from the egg, the larva of O. surinamensis spends weeks in multiple instars before it pupates and hatches 5 days later as an imago. During metamorphosis, the biosynthesis of the adult cuticle starts and continues in the first days of the imago36. As tyrosine is used in copious amounts in the cuticle biosynthesis69 amino acid titers might change dynamically. Thus, we expected the major symbiont contribution of tyrosine in the pupal stage and early adulthood19. Accordingly, we found an overall significantly positive influence of the symbiont presence on the titer of tyrosine (FDR-corrected GLMs, p = 0.000086, see Fig. 3 and Supplementary Fig. 3 and detailed statistic results for all the following values in Supplementary data 1 and Table 1). Specifically, late symbiotic pupae had a significantly higher tyrosine titer than aposymbiotic ones (Wilcoxon-rank-sum tests with FDR-corrected p-values: p = 0.00078), shortly before adult emergence. By contrast, there was a negative impact of symbiont presence on proline and glutamic acid levels (FDR-corrected GLMs, p = 0.00012 and p = 0.000057), which are interconverted by the symbiont based on the genomic prediction and used to synthesize tyrosine from prephenate. Again, free proline was significantly lower in late symbiotic vs. aposymbiotic pupae (FDR-corrected Wilcoxon-rank-sum test, p = 0.00078) and bound proline in early adults (FDR-corrected Wilcoxon-rank-sum test, p = 0.00078). Free glutamic acid was significantly lower in early and late symbiotic pupae (FDR-corrected Wilcoxon-rank-sum tests, both p = 0.00078, Fig. 3) and the elytrae of early symbiotic adults (FDR-corrected Wilcoxon-rank-sum test, p = 0.0059). There was no difference in the titer of bound or cuticular tyrosine in the different life stages of the beetle in direct comparison (FDR-corrected Wilcoxon-rank-sum test, p > 0.05) and only protein-bound glutamic acid of the full body of early symbiotic beetles was significantly higher than in aposymbiotic ones (FDR-corrected Wilcoxon-rank-sum test, p = 0.0059). All other amino acids were not influenced by symbiont presence alone, although we detected several interaction effects (FDR-corrected GLMs, p > 0.005; Supplementary data 1).

Fig. 3: Comparison of titers of the three amino acids tyrosine, proline, and glutamic acid that were influenced by symbiont presence.
figure 3

Shown are free amino acid titers in the whole body (without elytrae in case of adults) of symbiotic and aposymbiotic O. surinamensis beetles. Red: aposymbiotic beetles, Blue: symbiotic beetles. The data distribution is visualized with violin plots and an additional horizontal line depicting the median. The FDR-orrected unpaired, two-sided Wilcoxon-rank-sum-tests: ns p > 0.05, *0.05 < p < 0.01, **p < 0.01.

Table 1 Results of pairwise Wilcoxon-rank-sum-tests from the R package ‘ggpubr’ for symbiont influence on glutamic acid, proline, and tyrosine titers in different life stages and different amino acid localizations.

The symbiont’s shikimate pathway is sensitive to glyphosate and its inhibition results in an aposymbiotic phenotype

Next, we investigated the consequences of a pharmacological inhibition of the shikimate pathway on the symbiosis. Therefore, we made use of the pesticide glyphosate, an allosteric inhibitor of the enzyme EPSPS (5-enolpyruvoylshikimate-3-phosphate synthase) which is encoded by aroA1. We experimentally determined the impact of glyphosate exposure and aromatic amino acid supplementation during the entire larval and early adult development on phenotypic parameters that were previously demonstrated to be impacted by the symbiosis, i.e. cuticle thickness and melanization42,43. As predicted, both the thickness (Kruskal–Wallis χ2 = 27.3, df = 7, p-value = 0.0001; Fig. 4a, Table 3) and melanization (Kruskal–Wallis χ2 = 36.0, df = 7, p-value = 0.0001; Fig. 4b, Table 3) of the cuticle were influenced by glyphosate exposure and by aromatic amino acid supplementation of the beetle diet. Symbiotic beetles showed a significant reduction of both cuticle traits after inhibition of the shikimate pathway with 1% glyphosate (Dunn’s test: symbiotic vs. symbiotic + glyphosate: p = 0.0047 (thickness) and p = 0.0049 (melanization)), to the same level as observed in aposymbiotic beetles (Dunn’s test: aposymbiotic vs. symbiotic: p = 0.0005 (thickness) and p = 0.0008 (melanization); aposymbiotic vs. symbiotic + glyphosate: p = 0.73 (thickness) and p = 0.54 (melanization)). A lower amount of glyphosate (0.1%) led to intermediate phenotypes that did not differ significantly from either symbiotic or aposymbiotic or 1% glyphosate treated individuals (Dunn’s test: p > 0.05). Importantly, the thinner and less melanized cuticle of both aposymbiotic and glyphosate-exposed (1%) symbiotic beetles could be rescued to an intermediate state by adding aromatic amino acids to the diet, resulting in cuticular traits that differed neither from symbiotic nor aposymbiotic or 1% glyphosate-treated beetles (Dunn’s test: p > 0.05). By contrast, aromatic amino acid supplementation did not affect cuticular traits of symbiotic beetles that were not exposed to glyphosate (Dunn’s test: p > 0.05). These findings support the genome-based prediction that S. silvanidophilus supplements precursors for tyrosine biosynthesis via the shikimate pathway.

Fig. 4: Effect of glyphosate exposure and aromatic amino acid supplementation on cuticle traits and symbiont titers in symbiotic and aposymbiotic beetles.
figure 4

Cuticle thickness (a), melanization measured as thorax coloration (b), and symbiont titers (c) of aposymbiotic and symbiotic adults reared on different food compositions. See Table 2 for explanation of the symbols. The data distribution is visualized with violin plots and an additional horizontal line depicting the median. Different letters indicate significant differences between experimental treatments (Dunn’s Test, α ≤ 0.05).

The two plausible scenarios for the impact of glyphosate exposure on symbiont contributions are (i) a reduced chorismate biosynthesis by a stable symbiont population, or (ii) an overall decrease in symbiont titers due to glyphosate exposure. This includes either direct effects trough glyphosate toxicity, but also indirect effects via consequences of an inhibited chorismate biosynthesis like a lack of aromatic amino acids or host feedback mechanisms. Concordant with the latter hypothesis, we detected significant differences in symbiont titers of one-week-old symbiotic adults across experimental treatments (Kruskal–Wallis χ2 = 59.0, df = 7, p-value < 0.0001; Fig. 4c, Table 1). The symbiont titers in symbiotic beetles exposed to high glyphosate concentrations were significantly reduced by 98% (based on medians; Dunn’s test: sym vs. 1% glyphosate: p = 0.00034). Low glyphosate concentrations and supplementation with aromatic amino acids also reduced symbiont titers to an intermediate level that did not differ significantly from either untreated beetles nor those treated with high glyphosate amounts (Dunn’s test: p > 0.05). In combination with low amounts of glyphosate, supplementation of aromatic amino acid reduced the symbiont titers further, leading to a significant difference to untreated beetles (Dunn’s test: AA + 0.1% glyphosate vs untreated: p = 0.028).

Finally, to assess how common symbiont-mediated sensitivity to glyphosate is among insects engaging in nutritional symbioses, we tested whether the EPSPS of other intracellular symbionts besides the one of S. silvanidophilus belong to glyphosate sensitive or insensitive EPSPS variants by a phylogenetic analysis of their amino acid sequences25. The EPSPSs of all included Bacteroidetes and also Proteobacteria symbionts of insects clustered with class I EPSPS and are thus predicted to be sensitive to glyphosate—in contrast to insensitive class II enzymes of several free-living bacteria70 (Fig. 5 and Supplementary Fig. 4).

Fig. 5: Phylogenetic classification of EPSPS enzymes.
figure 5

Enzymes from different Bacteroidetes and γ-Proteobacteria insect symbionts as well as some free living bacteria and plants were classified based on FastTree and maximum- likelihood analyses of amino acid sequences of EPSPSs using the Jones–Taylor–Thorton model. Enzymes of plants (green), bacterial symbionts in the honeybee gut (yellow), and obligate intracellular insect symbionts (red) are highlighted. Node values indicate FastTree support values.


The sawtoothed grain beetle O. surinamensis engages in an intimate association with the Bacteroidetes endosymbiont S. silvanidophilus that confers desiccation resistance via enhanced cuticle synthesis42,43. This physiological contribution represents a significant fitness benefit in dry habitats like mass grain storage42. Here, we demonstrated that the genome of S. silvanidophilus experienced a drastic erosion, resulting in a genome of 308 kbp in size and a strongly AT-biased nucleotide composition (16.2% GC), akin to what has been described for other obligate intracellular47,71,72 or extracellular insect symbionts73,74,75,76.

Moreover, the symbiont genome encodes only a few metabolic pathways, of which the largest remaining ones are the glycolysis and shikimate pathways. Phosphoenolpyruvate (PEP) and Erythrose-4-phosphate (E4P)—both originating from glycolysis—are used as substrates in the shikimate pathway to synthesize chorismate, which in turn is transformed to prephenate by the symbiont and then converted to the aromatic amino acids phenylalanine and tyrosine by the host, as recently demonstrated in the weevil-Nardonella endosymbiotic system19. Of the seven genes in the shikimate pathway (aroG, aroB, aroD, aroE, aroK, aroA, aroC), the genome only lacks the gene for shikimate dehydrogenase (aroE), which catalyzes the reversible NADPH-linked reduction of 3-dehydroshikimate to shikimate. However, the shikimate pathways of Nardonella EPO, the endosymbiont of the sweetpotato weevil Euscepes postfasciatus (Curculionidae: Cryptorhynchinae) and Carsonella ruddii, the endosymbiont of the gall-forming psyllid Pachypsylla venusta (Aphalaridae: Pachypsyllinae) also lack aroE, but remain functional19,55, suggesting that the function can be taken over by other enzymes, either from the host or the endosymbiont—that have yet to be identified.

The genome also encodes for a urease (ureC, Urease α and γ subunits [EC:]), so S. silvanidophilus may be able to recycle nitrogenous waste products of its host, as has been described for Blattabacterium in cockroaches and Blochmannia in carpenter ants61,64,77. Alternatively, however, this enzyme could be a non-functional remnant in the eroded genome, as no glutamate dehydrogenase (gdhA) synthesizing glutamate from ammonium and 2-oxogluterate was detected and the symbiont genome encodes no other annotated gene that could incorporate the resulting ammonium. Instead, the genome encodes for a proline transporter (opuE) and the genes to convert proline into glutamic acid (EC: and EC:,79. Thus, proline as one of the most abundant amino acids in insect hemolymph might be utilized by the symbiont, among others as a source of glutamate80. As the genome encodes no other pathways of potential relevance to the host, we hypothesized that the symbiont’s beneficial impact on host fitness results from the supplementation of the tyrosine precursor prephenate, and possibly, from additional nitrogen recycling.

The quantification of amino acid titers throughout insect development in symbiotic and aposymbiotic beetles supports the genome-based predictions of symbiont-mediated tyrosine precursor biosynthesis and proline consumption. Both tyrosine and proline concentrations revealed significant differences between symbiotic and aposymbiotic beetles in late pupae, consistent with proline consumption and tyrosine biosynthesis during metamorphosis, which coincides with the reported maximum symbiont titers in O. surinamensis81. While our results indicate that the symbionts consume proline, the dynamics of proline conversion to glutamic acid remain elusive, as glutamic acid titers were lower in symbiotic than in aposymbiotic beetles across multiple life stages. Possibly, glutamic acid is predominantly utilized by the symbiont itself. Alternatively, as more chorismate is available for tyrosine synthesis in symbiotic than in aposymbiotic beetles, the glutamic acid titers might be constantly depleted, while tyrosine may only accumulate during metamorphosis, and is directly channeled into cuticle biosynthesis in all other life stages, as tyrosine accumulation may be toxic40. A similar phenomenon of increased symbiont titers and intense cuticle synthesis and modification during metamorphosis and early adulthood was described in other pest beetles, the weevils S. oryzae16 and P. infernalis19, as well as the ant Cardiocondyla obscurior27.

Symbiont-mediated contributions to cuticle biosynthesis evolved multiple times convergently in insects, with genomic evidence for tyrosine supplementation by symbionts in the ant genus Cardiocondyla, and both genomic and experimental support in carpenter ants82,83, as well as the weevils P. infernalis19 and S. oryzae16,84. The increasing number of tyrosine-supplementing symbioses provide evidence for this aromatic amino acid being a key nutrient that is limiting for many insects to produce their strongly sclerotized and melanized exoskeleton for protection against dessication and natural enemies16,18,19,82. While all the previously described symbioses that exclusively provision tyrosine precursors to their hosts involve ɣ-proteobacterial symbionts, S. silvanidophilus belongs to the Bacteroidetes, providing an example for functional convergence in genome-eroded symbionts across different bacterial phyla. Such convergence has been previously described for obligate endosymbionts of plant sap-sucking Hemiptera and Coleoptera that provision essential amino acids and/or vitamins to their hosts62,85,86. Interestingly, the Bacteroidetes clade containing S. silvanidophilus comprises exclusively insect-associated bacteria, suggesting the possibility that the ancestor was a successful symbiont or pathogen of insects, reminiscent of the widespread reproductive manipulator Wolbachia and the common insect associate Sodalis72,87,88.

Symbioses relying on nutritional supplements derived from the shikimate pathway are prone to inhibition of the aroA-encoded EPSPS by the herbicide glyphosate. Glyphosate sensitivity has already been used as an experimental tool to manipulate the obligate symbiont of tsetse flies, Wigglesworthia morsitans: chorismate-derived folate (Vitamin B9) biosynthesis by Wigglesworthia was inhibited by glyphosate, resulting in delayed larval development24. Furthermore, glyphosate exposure was found to have a detrimental effect on the honey bee gut microbiota, which translated into increased mortality of the honeybees under pathogen pressure1,25,26,70,89. Concordantly, our results on an intracellular beetle symbiosis show that exposure to agronomically applied90 or previously tested glyphosate levels24,25 decreases symbiont titers and recapitulates cuticular phenotypes of aposymbiotic beetles, indicating that the inhibition of the symbiont’s shikimate pathway results in aromatic amino acid starvation of both host and symbiont. Aromatic amino acid supplementation to glyphosate-exposed beetles partially rescued the host phenotype, but not the symbiont titers, indicating that the host uses the dietary tyrosine preferentially or exclusively for its own supply.

Interestingly, aromatic amino acid supplementation to symbiotic beetles suppressed the establishment of the symbiont population in the host to a similar level as glyphosate, suggesting that either the symbionts cannot grow in the absence of self-produced precursors for aromatic amino acids or the host may sanction its symbionts when the latter’s nutrient supplementation is no longer needed. While this phenomenon has been documented in some dynamic partnerships of plants and their root-associated mycorrhizae and rhizobia91,92, it seems surprising in an intimate and co-evolved mutualism that may have been expected to show little potential for conflict between the partners72. Conceivably, however, symbiont titers may be regulated by the host based on tyrosine or l-DOPA concentrations during normal host development, resulting in symbiont suppression in times of high tyrosine availability.

The use of glyphosate in agriculture is currently heavily debated, based on increasing evidence for its detrimental impact on animals due to symbiont depletion25,26,89,93 or inhibition of cuticle melanization22. Our findings on the glyphosate susceptibility of a beetle via its prephenate-supplementing endosymbiont exacerbate these concerns, particularly when considering our predictions based on an EPSPS phylogeny that many insects harbor endosymbionts susceptible to glyphosate. Whether insects whose symbionts provision tyrosine or its precursors among other amino acids or vitamins28,65,74,94 equally suffer from glyphosate exposure needs to be experimentally tested and will sharpen our predictions. However, the widespread occurrence of nutritional endosymbionts relying on shikimate pathway-derived nutrients paints an alarming picture and suggests that glyphosate application holds a tremendous risk of severe ecological impacts. Especially in light of recent declines in the number and diversity of insects56,95,96 and its impact on higher trophic levels97,98,99,100,101, the use of herbicides with potential side-effects on animals or their associated microorganisms should be carefully reconsidered.


Insect cultures

The initial Oryzaephilus surinamensis culture (strain JKI) was obtained from the Julius-Kühn-Institute/Federal Research Center for Cultivated Plants (Berlin, Germany) in 2014 and kept in culture since then. Continuous symbiotic and aposymbiotic (see below) O. surinamensis cultures were maintained in 1.8-L plastic containers, filled with 50 g oat flakes, at 28 °C, 60% relative humidity and a day and night cycles of 16–8 h. Another O. surinamensis population (strain OsNFRI) was obtained from the National Food Research Institute (Tsukuba, Japan) and used for genome sequencing.

Elimination of O. surinamensis symbionts

An O. surinamensis sub-population was treated for 12 weeks with tetracycline (150 mg/5g oat flakes) to eliminate their symbionts and then kept for several generations on a normal diet to exclude direct effects of tetracyclin on the host physiology42. Before the following experiments the aposymbiotic status of this beetle sub-population was confirmed. Therefore, 10 female adult beetles were individually separated in a single jar with oat flakes to lay eggs, as were symbiotic beetles in parallel populations. After 4 weeks, the adult generation was removed before their offspring finished metamorphosis and DNA of these females extracted and the symbiont titer was analyzed by quantitative PCR (see below;42).

Symbiont genome sequencing, assembly, and annotation

Total DNA was isolated from 20 pooled adult abdomina (without wings) of O. surinamensis JKI using the Epicentre MasterPureTM Complete DNA and RNA Purification Kit (Illumina Inc., Madison, WI, USA) including RNase digestion. Short-read library preparation and sequencing was performed at the Max-Planck-Genome-center Cologne, Germany (SRR12881563–SRR12881566) on a HiSeq2500 Sequencing System (Illumina Inc., Madison, WI, USA). Two further libraries were created from O. surinamensis strain OsNFRI. For the first library the DNA was extracted by QIAamp DNA Mini Kit (Qiagen, Germany) from 210 bacteriomes dissected from 60 adults. The library was prepared using the Nextera XT DNA Library Preparation Kit (Illumina Inc., Madison, WI, USA) and sequenced on a MiSeq (Illumina Inc., Madison, WI, USA) of AIST (Japan). For the second library the DNA was extracted by QIAamp DNA Micro Kit (Qiagen, Germany) from 24 bacteriomes dissected from six adults (each individual beetle contains four separate bacteriomes). The library was prepared using the Nextera DNA Library Preparation Kit (Illumina Inc., Madison, WI, USA) and sequenced on a NovaSeq 6000 (Illumina Inc., Madison, WI, USA) of Novagen (China). Adaptor and quality trimming was performed with Trimmomatic102. In addition, we used two publicly available metagenome libraries of O. surinamensis (SRR5279855 and SRR6426882).

Long-read sequencing (SRR12881567–SRR12881568) was performed on a MinION Mk1B Sequencing System (Oxford Nanopore Technologies (ONT), Oxford, UK). Upon receipt of flowcells, and again immediately prior to sequencing, the number of pores on flowcells was measured using the MinKNOW software (v18.12.9 and 19.05.0, ONT, Oxford, UK). Flowcells were replaced into their packaging, sealed with parafilm and tape, and stored at 4 °C until use. Library preparation was performed with the Ligation Sequencing Kit (SQK-LSK109, ONT, Oxford, UK) and completed libraries were loaded on a flowcell (FLO-MIN106D, ONT, Oxford, UK) following the manufacturer’s instructions.

Quality-controlled long reads were mapped using a custom-made kraken2 database containing the publicly available genomes of Bacteroidetes bacteria103,104 to filter beetle-associated sequences using the supercomputer Mogon of the Johannes Gutenberg-University (Mainz, Germany). Hybrid assembly of MinION and Illumina reads was performed using SPAdes (v3.13.0) with the default settings105. This resulted in ~70,000 contigs that were then binned using BusyBee Web106, screened for GC content and taxonomic identity to Bacteroidetes bacteria, and additionally checked manually for tRNAs and ribosomal proteins of Bacteroidetes bacteria. In total, 13 contigs were extracted, which were then automatically annotated with RAST107 using the app Annotate Microbial Assembly (RAST_SDK v0.1.1) on KBase108. The annotated contigs were plotted using CIRCOS109 (v0.69-6) for the visualization of gene locations, GC content and coverage. Additionally, the completeness of the obtained genome was assessed with the app Assess Genome Quality with CheckM—v1.0.18 in KBase45.

Phylogenetic analyses

A phylogenetic tree for placement of the intracellular symbiont of O. surinamensis within the Bacteroidetes was reconstructed using the KBase app Insert Set of Genomes Into Species Tree v2.1.10 (SpeciesTreeBuilder v0.0.12) based on the FastTree2 algorithm110, including 49 highly conserved Clusters of Orthologous Groups (COG) genes111.

A phylogenetic tree of the aroA gene (which codes for the EPSPS enzyme in the shikimate pathway) from the symbiont of O. surinamensis to predict its sensitivity to glyphosate was performed according to Motta et al. 25. Manually selected aroA sequences from plants, gut bacteria as well as several intracellular insect symbionts were obtained from Uniprot (UniProt Consortium 2019), translated and aligned using MUSCLE112 (v3.8.425) implemented in Geneious Prime 2019 (v2019.1.3, Phylogenetic reconstruction was performed with FastTree110 (v2.1.12) and PhyML113 (v2.2.4) implemented in Geneious Prime 2019 (v2019.1.3, using the Jones–Taylor–Thorton model with 20 rate categories and an optimized Gamma20 likelyhood (FastTree) and 1000 bootstrap replicates (PhyML). The obtained trees were visualized using FigTree (v1.4.4,

Comparison with other Bacteroidetes bacteria

Previously published Bacteroidetes genomes were re-annotated with RAST107,114 in KBase108 to compare the bacteria and to estimate the genome-wide nucleotide sequence divergence level. Therefore, we identified single-copy orthologs in each genome pair using OrthoMCL115 (v2.0) in KBase. KEGG categories were then assessed via GhostKOALA116 (v2.2) of each gene’s amino acid sequence. Heatmaps were visualized using the ‘ComplexHeatmap´ package in Rstudio (V 1.1.463 with R V3.6.3). CIRCOS109 (v0.69-6) was used to link orthologous genes.

Genomes of Bacteroidetes bacteria and other bacteria described as cuticle supplementing symbionts were compared in KBase108 in more detail. Therefore, all genomes were re-annotated with RAST107 and used to classify all annotated genes according to the SEED Subsystem117 using the app View Function Profile for Genomes (v1.4.0, SEED Functional Group: Amino Acids and Derivatives). The resulting raw count of genes with annotation was visualized as a heatmap using the function ‘heatmap.2’ in the ‘ggplot´ package in Rstudio (V 1.1.463 with R V3.6.3).

Glyphosate and aromatic amino acid supplementation

Eight treatments were prepared to assess the supplementation of chorismate by the symbiont to the host (Tables 2 and 3). For each treatment, jars were filled with 5 g finely ground oat flakes and different combinations of aromatic amino acids (1% w/w of each l-tyrosine, l-tryptophan and l-phenylalanine; Sigma-Aldrich, Germany) and glyphosate (0.1 or 1% w/w; Sigma-Aldrich, Germany). The glyphosate concentration of 0.1% and 1% (or 0.059 and 0.0059 mmol/g) was chosen based on the experiment by Snyder and Rio24 on tsetse flies. The 10 and 20 mM glyphosate added to the tsetse flies bloodmeal correspond to 0.1595 and 0.319% w/w glyphosate based on a blood density of 1.06 g/cm³. Helander et al report 250 mg per 48 L of soil to be equivalent to the maximum recommended amount of glyphosate for agronomical applications which translates to 0.0004% based on a fertile soil density of 1.3 g/cm³90. Food with the different supplements was weighed, mixed with distilled water, and dried overnight at 50 °C in an incubator. Afterwards, the dry material was ground and filled into the jars, before 50 adult apo- or symbiotic O. surinamensis with undefined sex were added to each jar to lay eggs. After 4 weeks of incubation at standard conditions mentioned above, the adult beetles were removed, and the jars checked daily for adult offspring. Freshly hatched beetles were isolated in a 48-well plate with the corresponding manipulated diet and developed for 7 days until cuticle biosynthesis is largely completed in symbiotic beetles43. Then the beetles were stored at −80 °C for DNA extraction or fixated in 4% paraformaldehyde in PBS for histological analysis118.

Table 2 Experimental treatments for assessing impact of symbiont elimination, glyphosate exposure, and dietary aromatic amino acid supplementation on cuticle traits and symbiont titers in O. surinamensis.
Table 3 Results of Dunn’s Test assessing the impact of symbiont infection status, aromatic amino acid supplementation, and glyphosate exposure on cuticle traits (thickness and melanization) and symbiont titers in one-week-old O. surinamensis adults.

Quantitative PCR

DNA of 8–10 adult beetle abdomina (without wings) per treatment group (symbiotic and aposymbiotic parent generations and diet supplementation treatments), respectively, was isolated using the Epicentre MasterPureTM Complete DNA and RNA Purification Kit following the manufacturer’s instruction (Illumina Inc., USA) to verify presence of the endosymbiont and evaluate the impact of glyphosate and amino acid addition on symbiont titer. Bacterial 16S rRNA copies were quantified via quantitative PCR (qPCR) from single adult abdomina of O. surinamensis. DNA was dissolved in 30 µL low TE buffer (1:10 dilution of 1× TE buffer: 10 mM Tris–HCl + 1 mM EDTA). qPCRs were carried out in 25 µl reactions using EvaGreen (Solis BioDyne, Estonia), including 0.5 µM of each primer and 1 µl template DNA. All reagents were mixed, vortexed and centrifugated in 0.1-mL reaction tubes (Biozym, 711200). To amplify a symbiont specific 16S rRNA gene fragment, the primers OsurSym_fwd2 (5’-GGCAACTCTGAACTAGCTACGC-3‘) and mod. CFB563_rev (5’-GCACCCTTTAAACCCAAT-3’) were used42. qPCR was carried out in a Rotor-Gene Q thermal cycler (Qiagen, Germany).

Standard curves with defined copy numbers of the 16S rRNA gene were created by amplifying the fragment first, followed by purification and determination of the DNA concentration via NanoDrop1000 (Peqlab, Germany). After determination of the DNA concentration, a standard containing 1010 copies/µL was generated and 1:10 serial dilutions down to 101 copies/µL were prepared. 1 µL of each standard was included in a qPCR reaction to standardize all measurements.

Analysis of cuticle traits

First, we determined melanization single-blinded via the inverse of digital red color values of 8–10 beetles from each treatment group to evaluate the impact of glyphosate, aromatic amino acids, and symbiont elimination on cuticle formation. Photographs were taken with a Zeiss StereoDiscovery V8 dissection stereoscope (Zeiss, Germany) under identical conditions using ZENCore software (Zeiss, Germany). Average red values were measured within a circular area covering the thorax with Natsumushi120 and transformed into inverse red values16,42.

Further, we measured cuticle thickness single-blinded of 8–10 adult beetles per treatment group, which were fixated in 4% paraformaldehyde in PBS. These beetles were embedded in epoxy resin (Epon_812 substitute; Sigma-Aldrich, Germany), and 1 µm cross-sections of the thorax next to the second pair of legs were cut on a microtome (Leica RM2245, Wetzlar, Germany) with a diamond blade and mounted on silanized glass slides with Histokitt (Roth, Germany). Images to measure cuticle diameter were taken with an AxioImager Z2 (Zeiss, Germany) at ×200 magnification and differential interference contrast. Mean cuticle diameter was measured at one randomly chosen dorsal, ventral, and lateral position, respectively, with the ZEN 2 Blue software distance tool (v2.0.0.0, Zeiss, Germany).

Amino acid extraction

For both aposymbiotic and symbiotic O. surinamensis beetles, eight individuals for each of five different developmental stages were analyzed: 5th instar larvae (of unknown age), 1-day-old pupae, 5-day-old pupae, 1-day-old adults, and 7-day-old adults. Aged individuals were obtained by separating 5th instar larvae individually into a 48-well plate coated with Fluon (AGC Chemicals, UK) to avoid beetles to escape, filled with three oat flakes for provision, and daily monitoring for pupation or emergence of adults. Once they reached the desired age, individuals were frozen until further analysis. Adults had their elytrae removed to analyze them separately and both were dried overnight at 50 °C.

The following extraction, derivatization, and analysis procedure of amino acids (AAs) were adapted from Perez-Palacios et al. 121. For the extraction of free AAs in larvae, pupae and elytra-free adults, three stainless steel beads and 500 µL 0.1 M HCl (Merck, Germany) were added to each insect sample and homogenized in a mixer mill MM200 (Retsch, Germany) at 30 Hz for 6 min. Subsequently, samples were centrifuged at 5000 rpm for 15 min at 4 °C using a CT15RE microcentrifuge (Himac, Japan) and the supernatant transferred to glass vials. Pellet were kept for extraction of bound AAs (see below), supernatants containing free AAs were mixed with 300 µL acetonitril (Carl-Roth, Germany) for deproteinization and 5 µL l-norleucine (2.5 µmol/mL; Sigma, Germany), which was used as an internal standard. Following centrifugation at 10,000 rpm for 3 min, samples were transferred to new vials and dried in a Savant DNA 110 SpeedVac Concentrator (Thermo Fisher Scientific, Germany). For the extraction of protein-bound Aas, the aforementioned pellets of the remaining body were resuspended in 500 µL 0.1 M HCl and transferred to separate glass vials. Similarly, dissected elytra were homogenized as described above and transferred to separate glass vials. After these samples were dried, 12 open vials (Kimble, USA) were placed in a larger hydrolysis vial (Kimble, USA) and a mixture of 187.5 µL HPLC grade water (Carl-Roth, Germany), 62.5 µL saturated phenol solution (84 g/L, Carl-Roth, Germany), and 250 µL 12 M HCl were added to the bottom of the hydrolysis vial for gas-phase derivatization. To ensure an oxygen-free atmosphere, the hydrolysis vial was three times evacuated and aerated with argon and afterwards tightly sealed. The hydrolysis was performed for 24 h at 110 °C. After equilibration to room temperature, 200 µL HCl were added to the single sample vials, the supernatant transferred to a new GC vial, and the samples dried again for 10 min in a Speedvac evaporator (Thermo Scientific, Germany).

Derivatization of amino acids

Derivatization is needed to analyze AAs via gas chromatography-mass spectrometry (GC–MS). N-tert-butyldimethylsilyl-N-methyltriflouroacetamid (MTBSTFA, Sigma-Aldrich, Germany) was utilized to silylate AAs 121: 50 µL MTBSTFA and 50 µL acetonitrile were added to all dried extracts of bound and free AAs, followed by derivatization at 100 °C for 1 h. Also, a mixture of 17 AAs (each 25 µmol/L: l-alanine, l-arginine, l-aspartic acid, l-glutamic acid, glycine, l-histidine, l-isoleucine, l-leucine, l-lysine, l-methionine, l-phenylalanine, l-proline, l-serine, l-threonine, l-tyrosine, l-valine; and 12.5 µmol/L l-cysteine, Sigma-Aldrich, Germany) was prepared and derivatized, also including l-norleucine as an internal standard to identify single AA derivatives. 1 µL was used for subsequent analysis.

Amino acid analysis with gas chromatography–mass spectrometry (GC–MS)

GC–MS analysis was performed with a Varian 240MS ion trap mass spectrometer coupled to a Varian 450 gas chromatograph (Agilent, USA), using external ionization for all analyses and splitless injection with 280 °C injector temperature. Initial temperature of the GC oven was 100 °C for 2 min, followed by steady increase by 25 °C per minute up to 300 °C and final isothermal hold for 5 min. The carrier gas helium had a constant flow of 1 mL/min through a DB-5ms column (30 m × 2.25 mm ID, 0.25 µm film Agilent, USA). Electron impact spectra were recorded with the ion source at 160 °C and ion trap at 90 °C and analyzed using the Varian MS Workstation Version 6.9.3. AA derivatives were identified using the fragmentation patterns and retention times according to Pérez-Palacios et al. 121 and the external standards. Quantification was carried out with two to four fragment ions to increase signal to noise ratio (l-alanine m/z = 158 & 232 & 260 & 428; l-arginine m/z = 199 & 442; l-aspartic acid m/z = 302 & 316 & 390 & 418; l-cystine m/z = 58 & 341 & 442; l-glutamic acid m/z = 272 & 286 & 359 & 432; glycine m/z = 189 & 218 & 246; l-histidine m/z = 196 & 280.5 & 338.5 & 440.5, l-isoleucine m/z = 200 & 274 & 302; l-leucine m/z = 200 & 274 & 302; l-lysine m/z = 198 & 272 & 300; l-methionine m/z = 218 & 292 & 320; l-norleucine m/z = 200 & 274 & 302; l-phenylalanine m/z = 234 & 392 & 308 & 336; l-proline m/z = 184 & 258 & 286; l-serine m/z = 288 & 362 & 390; l-threonine m/z = 303 & 376 & 404; l-tyrosine m/z = 302 & 364 & 438 & 466; l-valine m/z = 186 & 260 & 288).

Statistical analyses and reproducibility


Sequencing experiments are based on multiple extracts/libraries, generated from the same stock culture, but also a different culture as well as a publicly deposited sequence library. Multiple independent individuals or their offspring were generated in each experiment and subjected to statistical analyses, we aimed at sample sizes of 8–10 individuals, however in some cases some were lost during processing. Replicates were defined by individuals raised in different containers kept under identical conditions but seeded with different parents from the same stock population.

Analysis of symbiont titer and cuticular traits

Influence of amino acids and glyphosate on the symbiont titer, cuticle thickness and melanization of the adult beetles was analyzed using Dunn’s test from the package ‘FSA‘ in RStudio (V 1.1.463 with R V3.6.3) with two-sided, for multiple testing corrected post-hoc tests using the Benjamini–Hochberg method119 implemented in the R ‘stats’ package. Effect size r was calculated manually from R output following the formula r = Z/sqrt(N). Plots were visualized using ‘ggplot2’.

Analysis of amino acid titers

The single amino acid measurements were first normalized by the internal standard to account for deviations in amount or concentration during the analysis procedure and further normalized by the total amount of all amino acids to account for differences in body size between life stages but also animals with and without symbionts. The single normalized amino acid measurements were transformed to an approximate Gaussian distribution. The transformation was chosen using the powerTransform command from the package ‘car’ (alanin: negative square root, arginine: cubic root, aspartic acid: decadic logarithm, glutamic acid: square root, glycine: cubic root, isoleucine: decadic logarithm, leucine: decadic logarithm, lysine: square root, ornithine: square root, phenylalanine: square root, proline: decadic logarithm, serine: cubic root, threonine: decadic logarithm, tyrosine: square root, valine: cubic root; the amino acids cystine, histidine and methionine were not detected).

Symbiont influence on the titer of the single amino acids was analyzed with separate generalized linear models with life stage (larva, two pupal stages, two adult stages), amino acid source (free amino acids in body, protein-bound amino acids in body, total amino acids in elytrae) and symbiont presence/absence as factors, allowing for interactions between all of them using the command glm from the ‘stats’ package in R Studio (V 1.1.463 with R V3.6.3). P-values were corrected for multiple testing following the classical Bonferroni122. In case of significant symbiont influence, we conducted pairwise post-hoc tests between symbiotic and aposymbiotic samples for each life stage/amino acid source using unpaired Wilcoxon rank-sum tests including Bonferroni correction122 from the R ‘stats’ package to identify the specific life stage/amino acid source of symbiont influence. Effect size r was calculated manually from R output following the formula r = Z/sqrt(N). Plots were visualized using ‘ggplot2’.

Reporting summary

Further information on research design is available in the Nature Research Reporting Summary linked to this article.

Data availability

Sequencing libraries and the assembles genome of the Oryzaephilus surinamensis symbiont (proposed Candidatus Shimatogenerans silvanidophilus OSUR) were uploaded to the DNA Databank of Japan (accession numbers DRA010986 and DRA010987), the NCBI Sequence Read Archive (accession numbers SRR12881563–SRR12881566) and Genbank (JADFUB000000000). Raw data of quantitative cuticle measurements are available at the data repository of the Max Planck Society ‘Edmond’123.

Change history


  1. Sikorski, J. A. & Gruys, K. J. Understanding glyphosate’s molecular mode of action with EPSP synthase: evidence favoring an allosteric inhibitor model. Acc. Chem. Res. 30, 2–8 (1997).

    CAS  Article  Google Scholar 

  2. Duke, S. O. & Powles, S. B. Glyphosate: a once‐in‐a‐century herbicide. Pest Manag. Sci. 64, 319–325 (2008).

    CAS  PubMed  Article  Google Scholar 

  3. Siehl, D. L. Inhibitors of EPSP synthase, glutamine synthetase and histidine synthesis. In Herbicide Activity: Toxicology, Biochemistry and Molecular Biology, vol. 1 (eds. Michael Roe, R., Burton, J. D. & Kuhr, R. J.) 37 (IOS Press, 1997).

  4. Shilo, T., Zygier, L., Rubin, B., Wolf, S. & Eizenberg, H. Mechanism of glyphosate control of Phelipanche aegyptiaca. Planta 244, 1095–1107 (2016).

    CAS  PubMed  Article  Google Scholar 

  5. Tzin, V. & Galili, G. New Insights into the shikimate and aromatic amino acids biosynthesis pathways in plants. Mol. Plant 3, 956–972 (2010).

    CAS  PubMed  Article  Google Scholar 

  6. McFall-Ngai, M. et al. Animals in a bacterial world, a new imperative for the life sciences. Proc. Natl. Acad. Sci. USA 110, 3229–3236 (2013).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  7. Hacker, S. D. & Gaines, S. D. Some implications of direct positive interactions for community species diversity. Ecology 78, 1990–2003 (1997).

    Article  Google Scholar 

  8. van den Bosch, T. J. M. & Welte, C. U. Detoxifying symbionts in agriculturally important pest insects. Microb. Biotechnol. 10, 531–540 (2017).

    PubMed  Article  CAS  Google Scholar 

  9. Lemoine, M. M., Engl, T. & Kaltenpoth, M. Microbial symbionts expanding or constraining abiotic niche space in insects. Curr. Opin. Insect Sci. 39, 14–20 (2020).

    PubMed  Article  Google Scholar 

  10. Feldhaar, H. Bacterial symbionts as mediators of ecologically important traits of insect hosts. Ecol. Entomol. 36, 533–543 (2011).

    Article  Google Scholar 

  11. Moran, N. A. Symbiosis. Curr. Biol. 16, R866–R871 (2006).

    CAS  PubMed  Article  Google Scholar 

  12. Moran, N. A. & Telang, A. Bacteriocyte-associated symbionts of insects. Bioscience 48, 295–304 (1998).

    Article  Google Scholar 

  13. Oliver, K. M. & Martinez, A. J. How resident microbes modulate ecologically-important traits of insects. Curr. Opin. Insect Sci. 4, 1–7 (2014).

    PubMed  Article  Google Scholar 

  14. Douglas, A. E. The microbial dimension in insect nutritional ecology. Funct. Ecol. 23, 38–47 (2009).

    Article  Google Scholar 

  15. Douglas, A. E. The B vitamin nutrition of insects: the contributions of diet, microbiome and horizontally acquired genes. Curr. Opin. Insect Sci. 23, 65–69 (2017).

    PubMed  Article  Google Scholar 

  16. Vigneron, A. et al. Insects recycle endosymbionts when the benefit is over. Curr. Biol. 24, 2267–2273 (2014).

    CAS  PubMed  Article  Google Scholar 

  17. Andersen, S. O. Cuticular sclerotization and tanning. In Insect Molecular Biology and Biochemistry (ed. Gilbert, L. I.) 167–192 (Elsevier, 2012).

  18. Anbutsu, H. & Fukatsu, T. Symbiosis for insect cuticle formation. In Cellular Dialogues in the Holobiont (eds. Bosch, T. C. G. & Hadfield, M. G.) 201–216 (CRC Press, 2020).

  19. Anbutsu, H. et al. Small genome symbiont underlies cuticle hardness in beetles. Proc. Natl. Acad. Sci. USA 114, E8382–E8391 (2017).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  20. Li, A. P. & Long, T. J. An evaluation of the genotoxic potential of glyphosate. Fundam. Appl. Toxicol. 10, 537–546 (1988).

    CAS  PubMed  Article  Google Scholar 

  21. Smith, E. A. & Oehme, F. W. The biological activity of glyphosate to plants and animals: a literature review. Vet. Hum. Toxicol. 34, 531–543 (1992).

    CAS  PubMed  Google Scholar 

  22. Smith, D. F. Q. et al. Glyphosate inhibits melanization and increases insect susceptibility to infection. bioRxiv (2020).

  23. Torretta, V., Katsoyiannis, I., Viotti, P. & Rada, E. Critical review of the effects of glyphosate exposure to the environment and humans through the food supply chain. Sustainability 10, 950 (2018).

    Article  CAS  Google Scholar 

  24. Snyder, A. K. & Rio, R. V. M. “Wigglesworthia morsitans” folate (Vitamin B 9) biosynthesis contributes to tsetse host fitness. Appl. Environ. Microbiol. 81, 5375–5386 (2015).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  25. Motta, E. V. S., Raymann, K. & Moran, N. A. Glyphosate perturbs the gut microbiota of honey bees. Proc. Natl. Acad. Sci. USA 115, 10305–10310 (2018).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  26. Motta, E. V. S. et al. Oral or topical exposure to glyphosate in herbicide formulation impacts the gut microbiota and survival rates of honey bees. Appl. Environ. Microbiol. 86, e01150–20 (2020).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  27. Klein, A. et al. A novel intracellular mutualistic bacterium in the invasive ant Cardiocondyla obscurior. ISME J 10, 376–388 (2016).

    CAS  PubMed  Article  Google Scholar 

  28. Wu, D. et al. Metabolic complementarity and genomics of the dual bacterial symbiosis of sharpshooters. PLoS Biol. 4, e188 (2006).

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  29. Dunne, J. A. & Williams, R. J. Cascading extinctions and community collapse in model food webs. Philos. Trans. R. Soc. B Biol. Sci 364, 1711–1723 (2009).

    Article  Google Scholar 

  30. Dunne, J. A., Williams, R. J. & Martinez, N. D. Network structure and biodiversity loss in food webs: robustness increases with connectance. Ecol. Lett. 5, 558–567 (2002).

    Article  Google Scholar 

  31. Memmott, J. et al. Biodiversity loss and ecological network structure. In Ecological Networks: Linking Structure to Dynamics in Food Webs (eds Pascual, M. & Dunne, J. A.) 325–347 (Oxford University Press, 2005).

  32. Liao, C., Upadhyay, A., Liang, J., Han, Q. & Li, J. 3,4-Dihydroxyphenylacetaldehyde synthase and cuticle formation in insects. Dev. Comp. Immunol. 83, 44–50 (2018).

    CAS  PubMed  Article  Google Scholar 

  33. Muthukrishnan, S., Merzendorfer, H., Arakane, Y. & Kramer, K. J. Chitin metabolism in insects. In Insect Molecular Biology and Biochemistry (ed. Gilbert, L. I.) 193–235 (Elsevier, 2012).

  34. Wirtz, R. A. & Hopkins, T. L. Tyrosine and phenylalanine concentrations in haemolymph and tissues of the American cockroach, Periplaneta americana, during metamorphosis. J. Insect Physiol. 20, 1143–1154 (1974).

    CAS  PubMed  Article  Google Scholar 

  35. Gibbs, A. G. & Rajpurohit, S. Cuticular lipids and water balance. In Insect Hydrocarbons (eds Blomquist, G. J. & Bagneres, A. -G.) 100–120 (Cambridge University Press, 2010).

  36. Hackman, R. H. Chemistry of the insect cuticle. in The Physiology of Insecta (ed. Rodstein, M.) 215–270 (Academic Press, 1974).

  37. Mattson, W. J. Herbivory in relation to plant nitrogen content. Annu. Rev. Ecol. Syst. 11, 119–161 (1980).

    Article  Google Scholar 

  38. Kumar, V. et al. Amino acids distribution in economical important plants: a review. Biotechnol. Res. Innov 3, 197–207 (2019).

    Article  Google Scholar 

  39. Noh, M. Y., Muthukrishnan, S., Kramer, K. J. & Arakane, Y. Cuticle formation and pigmentation in beetles. Curr. Opin. Insect Sci. 17, 1–9 (2016).

    Article  PubMed  Google Scholar 

  40. Sterkel, M. et al. Tyrosine detoxification is an essential trait in the life history of blood-feeding arthropods. Curr. Biol. 26, 2188–2193 (2016).

    CAS  PubMed  Article  Google Scholar 

  41. Herrmann, K. M. & Weaver, L. M. The shikimate pathway. Annu. Rev. Plant Biol. 50, 473–503 (1999).

    CAS  Article  Google Scholar 

  42. Engl, T. et al. Ancient symbiosis confers desiccation resistance to stored grain pest beetles. Mol. Ecol. 27, 2095–2108 (2018).

    CAS  PubMed  Article  Google Scholar 

  43. Hirota, B. et al. A novel, extremely elongated, and endocellular bacterial symbiont supports cuticle formation of a grain pest beetle. MBio 8, 1–16 (2017).

    Article  Google Scholar 

  44. Boyer, S., Zhang, H. & Lempérière, G. A review of control methods and resistance mechanisms in stored-product insects. Bull. Entomol. Res. 102, 213 (2012).

    CAS  PubMed  Article  Google Scholar 

  45. Parks, D. H., Imelfort, M., Skennerton, C. T., Hugenholtz, P. & Tyson, G. W. CheckM: assessing the quality of microbial genomes recovered from isolates, single cells, and metagenomes. Genome Res. 25, 1043–1055 (2015).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  46. Moran, N. A., McCutcheon, J. P. & Nakabachi, A. Genomics and evolution of heritable bacterial symbionts. Annu. Rev. Genet. 42, 165–190 (2008).

    CAS  PubMed  Article  Google Scholar 

  47. McCutcheon, J. P. & Moran, N. A. Extreme genome reduction in symbiotic bacteria. Nat. Rev. Microbiol. 10, 13–26 (2012).

    CAS  Article  Google Scholar 

  48. Van Leuven, J. T., Meister, R. C., Simon, C. & McCutcheon, J. P. Sympatric speciation in a bacterial endosymbiont results in two genomes with the functionality of one. Cell 158, 1270–1280 (2014).

    PubMed  Article  CAS  Google Scholar 

  49. Campbell, M. A., Łukasik, P., Simon, C. & McCutcheon, J. P. Idiosyncratic genome degradation in a bacterial endosymbiont of periodical cicadas. Curr. Biol. 27, 3568–3575.e3 (2017).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  50. Campbell, M. A. et al. Genome expansion via lineage splitting and genome reduction in the cicada endosymbiont Hodgkinia. Proc. Natl. Acad. Sci. USA 112, 10192–10199 (2015).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  51. Chen, Y. C., Liu, T., Yu, C. H., Chiang, T. Y. & Hwang, C. C. Effects of GC bias in next-generation-sequencing data on de novo genome assembly. PLoS ONE 8, e62856 (2013).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  52. Kozarewa, I. et al. Amplification-free Illumina sequencing-library preparation facilitates improved mapping and assembly of (G+ C)-biased genomes. Nat. Methods 6, 291–295 (2009).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  53. Quail, M. A. et al. A tale of three next generation sequencing platforms: comparison of Ion Torrent, Pacific Biosciences and Illumina MiSeq sequencers. BMC Genomics 13, 1–13 (2012).

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  54. Treangen, T. J. & Salzberg, S. L. Repetitive DNA and next-generation sequencing: computational challenges and solutions. Nat. Rev. Genet. 13, 36–46 (2012).

    CAS  Article  Google Scholar 

  55. Sloan, D. B. et al. Parallel histories of horizontal gene transfer facilitated extreme reduction of endosymbiont genomes in sap-feeding insects. Mol. Biol. Evol. 31, 857–871 (2014).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  56. Zucko, J. et al. Global genome analysis of the shikimic acid pathway reveals greater gene loss in host-associated than in free-living bacteria. BMC Genomics 11, 628 (2010).

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  57. Tokuda, G. et al. Maintenance of essential amino acid synthesis pathways in the Blattabacterium cuenoti symbiont of a wood-feeding cockroach. Biol. Lett. 9, 20121153 (2013).

    PubMed  PubMed Central  Article  Google Scholar 

  58. Kinjo, Y. et al. Parallel and gradual genome erosion in the Blattabacterium endosymbionts of Mastotermes darwiniensis and Cryptocercus Wood Roaches. Genome Biol. Evol. 10, 1622–1630 (2018).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  59. Menzel, R. & Roth, J. Purification of the putA gene product. A bifunctional membrane-bound protein from Salmonella typhimurium responsible for the two-step oxidation of proline to glutamate. J. Biol. Chem. 256, 9755–9761 (1981).

    CAS  PubMed  Article  Google Scholar 

  60. Zhou, Y., Zhu, W., Bellur, P. S., Rewinkel, D. & Becker, D. F. Direct linking of metabolism and gene expression in the proline utilization a protein from Escherichia coli. Amino Acids 35, 711–718 (2008).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  61. Sabree, Z. L., Kambhampati, S. & Moran, N. A. Nitrogen recycling and nutritional provisioning by Blattabacterium, the cockroach endosymbiont. Proc. Natl. Acad. Sci. USA 106, 19521–19526 (2009).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  62. McCutcheon, J. P., McDonald, B. R. & Moran, N. A. Convergent evolution of metabolic roles in bacterial co-symbionts of insects. Proc. Natl. Acad. Sci. USA 106, 15394–15399 (2009).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  63. Sabree, Z. L., Huang, C. Y., Okusu, A., Moran, N. A. & Normark, B. B. The nutrient supplying capabilities of Uzinura, an endosymbiont of armoured scale insects. Environ. Microbiol. 15, 1988–1999 (2013).

    CAS  Article  PubMed  Google Scholar 

  64. Rosas-Pérez, T., Rosenblueth, M., Rincón-Rosales, R., Mora, J. & Martínez-Romero, E. Genome Sequence of “Candidatus Walczuchella monophlebidarum” the Flavobacterial endosymbiont of Llaveia axin axin (Hemiptera: Coccoidea: Monophlebidae). Genome Biol. Evol. 6, 714–726 (2014).

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  65. Kuriwada, T. et al. Biological role of Nardonella endosymbiont in its weevil host. PLoS ONE 5, e13101 (2010).

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  66. Okude, G. et al. Novel bacteriocyte-associated pleomorphic symbiont of the grain pest beetle Rhyzopertha dominica (Coleoptera: Bostrichidae). Zool. Lett. 3, 13 (2017).

    Article  Google Scholar 

  67. Hirota, B., Meng, X.-Y. & Fukatsu, T. Bacteriome-sssociated rndosymbiotic bacteria of Nosodendron tree sap beetles (Coleoptera: Nosodendridae). Front. Microbiol. 11, 2556 (2020).

    Article  Google Scholar 

  68. Hopkins, T. L. & Kramer, K. J. Insect cuticle sclerotization. Annu. Rev. Entomol. 37, 273–302 (1992).

    CAS  Article  Google Scholar 

  69. Andersen, S. O. Insect cuticular sclerotization: a review. Insect Biochem. Mol. Biol. 40, 166–178 (2010).

    CAS  PubMed  Article  Google Scholar 

  70. Cao, G. et al. A novel 5-enolpyruvylshikimate-3-phosphate synthase shows high glyphosate tolerance in Escherichia coli and tobacco plants. PLoS ONE 7, e38718 (2012).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  71. Moran, N. A. & Bennett, G. M. The tiniest tiny genomes. Annu. Rev. Microbiol. 68, 195–215 (2014).

    CAS  PubMed  Article  Google Scholar 

  72. McCutcheon, J. P., Boyd, B. M. & Dale, C. The life of an insect endosymbiont from the cradle to the grave. Curr. Biol. 29, R485–R495 (2019).

    CAS  Article  PubMed  Google Scholar 

  73. Salem, H. et al. Drastic genome reduction in an herbivore’s pectinolytic symbiont. Cell 171, 1520–1531 (2017).

    CAS  Article  PubMed  Google Scholar 

  74. Reis, F. et al. Bacterial symbionts support larval sap feeding and adult folivory in (semi-) aquatic reed beetles. Nat. Commun. 11, 1–15 (2020).

    Article  CAS  Google Scholar 

  75. Salem, H., Florez, L., Gerardo, N. & Kaltenpoth, M. An out-of-body experience: the extracellular dimension for the transmission of mutualistic bacteria in insects. Proc. R. Soc. B Biol. Sci. 282, 20142957 (2015).

    Article  Google Scholar 

  76. Salem, H. et al. Symbiont digestive range reflects host plant breadth in herbivorous beetles. Curr. Biol. 30, 2875–2886 (2020).

    CAS  Article  PubMed  Google Scholar 

  77. Hansen, A. K., Pers, D. & Russell, J. A. Symbiotic solutions to nitrogen limitation and amino acid imbalance in insect diets. In Mechanisms Underlying Microbial Symbiosis, vol. 58 (ed. Kerry M. Oliver, J. A. R.) 161–205 (Academic Press, 2020).

  78. Tanner, J. J. Structural biology of proline catabolism. Amino Acids 35, 719–730 (2008).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  79. Adams, E. & Frank, L. Metabolism of proline and the hydroxyprolines. Annu. Rev. Biochem. 49, 1005–61 (1980).

    CAS  Article  PubMed  Google Scholar 

  80. Bursell, E. The role of proline in energy metabolism.In Energy Metabolism in Insects (ed. Downer R.G.H.) 135–154 (Springer, Boston, 1981).

  81. Engl, T., Schmidt, T. H. P., Kanyile, S. N. & Klebsch, D. Metabolic cost of a nutritional symbiont manifests in delayed reproduction in a grain pest beetle. Insects 11, 717 (2020).

    Article  PubMed Central  Google Scholar 

  82. José de Souza, D., Devers, S. & Lenoir, A. Blochmannia endosymbionts and their host, the ant Camponotus fellah: cuticular hydrocarbons and melanization. C. R. Biol. 334, 737–741 (2011).

    PubMed  Article  CAS  Google Scholar 

  83. Zientz, E., Beyaert, I., Gross, R. & Feldhaar, H. Relevance of the endosymbiosis of Blochmannia floridanus and carpenter ants at different stages of the life cycle of the host. Appl. Environ. Microbiol. 72, 6027–6033 (2006).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  84. Oakeson, K. F. et al. Genome degeneration and adaptation in a nascent stage of symbiosis. Genome Biol. Evol. 6, 76–93 (2013).

    Article  Google Scholar 

  85. Chong, R. A. & Moran, N. A. Evolutionary loss and replacement of Buchnera, the obligate endosymbiont of aphids. ISME J 12, 898–908 (2018).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  86. McCutcheon, J. P. & Moran, N. A. Functional convergence in reduced genomes of bacterial symbionts spanning 200 My of evolution. Genome Biol. Evol. 2, 708–718 (2010).

    PubMed  PubMed Central  Article  Google Scholar 

  87. Gerth, M., Gansauge, M. T., Weigert, A. & Bleidorn, C. Phylogenomic analyses uncover origin and spread of the Wolbachia pandemic. Nat. Commun. 5, 1–7 (2014).

    Article  CAS  Google Scholar 

  88. Santos-Garcia, D., Silva, F. J., Morin, S., Dettner, K. & Kuechler, S. M. The all-rounder Sodalis: a new bacteriome-associated endosymbiont of the Lygaeoid bug Henestaris halophilus (Heteroptera: Henestarinae) and a critical examination of its evolution. Genome Biol. Evol. 9, 2893–2910 (2017).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  89. Motta, E. V. S. & Moran, N. A. Impact of glyphosate on the honey bee gut microbiota: effects of intensity, duration, and timing of exposure. Msystems 5, e00268–20 (2020).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  90. Helander, M., Pauna, A., Saikkonen, K. & Saloniemi, I. Glyphosate residues in soil affect crop plant germination and growth. Sci. Rep. 9, 19653 (2019).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  91. Kiers, E. T., Rousseau, R. A., West, S. A. & Denlson, R. F. Host sanctions and the legume-rhizobium mutualism. Nature 425, 78–81 (2003).

    CAS  PubMed  Article  Google Scholar 

  92. Whiteside, M. D., Digman, M. A., Gratton, E. & Treseder, K. K. Organic nitrogen uptake by arbuscular mycorrhizal fungi in a boreal forest. Soil Biol. Biochem. 55, 7–13 (2012).

    CAS  Article  Google Scholar 

  93. Faita, M. R., Cardozo, M. M., Amandio, D. T. T., Orth, A. I. & Nodari, R. O. Glyphosate-based herbicides and Nosema sp. microsporidia reduce honey bee (Apis mellifera L.) survivability under laboratory conditions. J. Apic. Res. 59, 1–11 (2020).

    Article  Google Scholar 

  94. Wilson, A. C. C. et al. Genomic insight into the amino acid relations of the pea aphid, Acyrthosiphon pisum, with its symbiotic bacterium Buchnera aphidicola. Insect Mol. Biol. 19, 249–258 (2010).

    CAS  PubMed  Article  Google Scholar 

  95. Sánchez-Bayo, F. & Wyckhuys, K. A. G. Worldwide decline of the entomofauna: a review of its drivers. Biol. Conserv. 232, 8–27 (2019).

    Article  Google Scholar 

  96. Wagner, D. L. Insect declines in the anthropocene. Annu. Rev. Entomol. 65, 457–480 (2020).

    CAS  PubMed  Article  Google Scholar 

  97. Desneux, N., Decourtye, A. & Delpuech, J.-M. The sublethal effects of pesticides on beneficial arthropods. Annu. Rev. Entomol. 52, 81–106 (2007).

    CAS  PubMed  Article  Google Scholar 

  98. Goulson, D. The insect apocalypse, and why it matters. Curr. Biol. 29, R967–R971 (2019).

    CAS  PubMed  Article  Google Scholar 

  99. Hallmann, C. A. et al. More than 75 percent decline over 27 years in total flying insect biomass in protected areas. PLoS ONE 12, e0185809 (2017).

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  100. Hayes, T. B. & Hansen, M. From silent spring to silent night: agrochemicals and the anthropocene. Elem. Sci. Anthropol. 5, (2017).

  101. Bowler, D. E., Heldbjerg, H., Fox, A. D., Jong, M. & Böhning‐Gaese, K. Long‐term declines of European insectivorous bird populations and potential causes. Conserv. Biol. 33, 1120–1130 (2019).

    PubMed  Article  Google Scholar 

  102. Bolger, A. M., Lohse, M. & Usadel, B. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics 30, 2114–2120 (2014).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  103. Wood, D. E. & Salzberg, S. L. Kraken: ultrafast metagenomic sequence classification using exact alignments. Genome Biol. 15, 1–12 (2014).

    Article  Google Scholar 

  104. Wood, D. E., Lu, J. & Langmead, B. Improved metagenomic analysis with Kraken 2. Genome Biol. 20, 257 (2019).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  105. Bankevich, A. et al. SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing. J. Comput. Biol. 19, 455–477 (2015).

    Article  CAS  Google Scholar 

  106. Laczny, C. C. et al. BusyBee Web: metagenomic data analysis by bootstrapped supervised binning and annotation. Nucleic Acids Res. 45, W171–W179 (2017).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  107. Aziz, R. K. et al. The RAST Server: rapid annotations using subsystems technology. BMC Genomics 9, 1–15 (2008).

    Article  CAS  Google Scholar 

  108. Arkin, A. P. et al. KBase: The United States department of energy systems biology knowledgebase. Nat. Biotechnol. 36, 566 (2018).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  109. Krzywinski, M. et al. Circos: an information aesthetic for comparative genomics. Genome Res. 19, 1639–1645 (2009).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  110. Price, M. N., Dehal, P. S. & Arkin, A. P. FastTree 2–approximately maximum-likelihood trees for large alignments. PLoS ONE 5, e9490 (2010).

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  111. Tatusov, R. L., Galperin, M. Y., Natale, D. A. & Koonin, E. V. The COG database: a tool for genome-scale analysis of protein functions and evolution. Nucleic Acids Res. 28, 33–36 (2000).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  112. Edgar, R. C. MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res. 32, 1792–1797 (2004).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  113. Guindon, S. et al. New algorithms and methods to estimate maximum-likelihood phylogenies: assessing the performance of PhyML 3.0. Syst. Biol. 59, 307–321 (2010).

    CAS  Article  PubMed  Google Scholar 

  114. Brettin, T. et al. RASTtk: a modular and extensible implementation of the RAST algorithm for building custom annotation pipelines and annotating batches of genomes. Sci. Rep. 5, 8365 (2015).

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  115. Li, L., Stoeckert, C. J. & Roos, D. S. OrthoMCL: identification of ortholog groups for eukaryotic genomes. Genome Res. 13, 2178–2189 (2003).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  116. Kanehisa, M., Sato, Y. & Morishima, K. BlastKOALA and GhostKOALA: KEGG tools for functional characterization of genome and metagenome sequences. J. Mol. Biol. 428, 726–731 (2016).

    CAS  Article  PubMed  Google Scholar 

  117. Overbeek, R. et al. The SEED and the Rapid Annotation of microbial genomes using Subsystems Technology (RAST). Nucleic Acids Res. 42, D206–14 (2014).

    CAS  PubMed  Article  Google Scholar 

  118. Weiss, B. & Kaltenpoth, M. Bacteriome-localized intracellular symbionts in pollen-feeding beetles of the genus Dasytes (Coleoptera, Dasytidae). Front. Microbiol. 7, 1486 (2016).

    PubMed  PubMed Central  Article  Google Scholar 

  119. Dunn, O. J. Multiple comparisons using rank sums. Technometrics 6, 241–252 (1964).

    Article  Google Scholar 

  120. Tanahashi, M. Natsumushi: Image measuring software for entomological studies. Entomol. Sci. 21, 347–360 (2018).

    Article  Google Scholar 

  121. Pérez-Palacios, T., Barroso, M. A., Ruiz, J. & Antequera, T. A rapid and accurate extraction procedure for analysing free amino acids in meat samples by GC–MS. Int. J. Anal. Chem. 2015, 209214 (2015).

    PubMed  PubMed Central  Article  Google Scholar 

  122. Miller, R. G. Simultaneous Statistical Inference (Springer, 1981).

  123. Engl, T., Kiefer, J.S.T. Data from: Inhibition of a nutritional endosymbiont by glyphosate abolishes mutualistic benefit on cuticle synthesis in Oryzaephilus surinamenis. Max Planck Soc. (2021).

Download references


The authors thank Dagmar Klebsch and Rebekka Janke for valuable technical assistance, Cornel Adler for the original provisioning of an O. surinamensis culture, John McCutcheon and Piotr Łukasik for their initial input on our genome sequencing approach, the Johannes Gutenberg University Mainz for computation time granted on the supercomputer Mogon, Christian Meesters’ administrative assistance on Mogon and Minoru Moriyama’s support for genome sequencing. The authors further acknowledge financial support of the Johannes Gutenberg University Mainz (intramural funding to T.E.), a Consolidator Grant of the European Research Council (ERC CoG 819585 “SYMBeetle” to M.K.), the Japan Science and Technology Agency ERATO Grant (JPMJER1803 and JPMJER1902 to T.F.), the Japan Society for the Promotion of Science KAKENHI Grant (20J13769 to B.H. and 17H06388 to T.F.), and the Max-Planck-Society (to T.E., B.W., and M.K.). T.E. also acknowledges the stimulating International Symbiosis Society meeting 2018 in Oregon, especially inspiring presentations by Rita Rio and Joel Sachs.


Open Access funding enabled and organized by Projekt DEAL.

Author information




T.E. and M.K. conceived the study. J.S.T.K., E.B., B.H. and T.E. sequenced and assembled the symbiont genome. J.S.T.K. and E.B. annotated the genomes and performed symbiont genomic analysis and J.S.T.K. and T.E. performed phylogenetic analyses of the symbionts. S.B., J.C.W. and T.E. performed amino acid analysis. J.K. and B.W. performed dietary supplementation experiments and analysis. J.S.T.K. and T.E. wrote the paper, with input from M.K. and T.F. All authors read and commented on the manuscript.

Corresponding author

Correspondence to Tobias Engl.

Ethics declarations

Competing interests

The authors declare 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

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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Kiefer, J.S.T., Batsukh, S., Bauer, E. et al. Inhibition of a nutritional endosymbiont by glyphosate abolishes mutualistic benefit on cuticle synthesis in Oryzaephilus surinamensis. Commun Biol 4, 554 (2021).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI:


By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.


Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing