Identification of the trail-following pheromone receptor in termites

  1. Souleymane Diallo
  2. Kateřina Kašparová
  3. Josef Šulc
  4. Jibin Johny
  5. Jan Křivánek
  6. Jana Nebesářová
  7. David Sillam-Dussès
  8. Pavlína Kyjaková
  9. Jiří Vondrášek
  10. Aleš Machara
  11. Ondřej Lukšan  Is a corresponding author
  12. Ewald Grosse-Wilde
  13. Robert Hanus  Is a corresponding author
  1. Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences, Czech Republic
  2. Czech University of Life Sciences, Czech Republic
  3. Department of Ecology, Faculty of Science, Charles University, Czech Republic
  4. Laboratory of Electron Microscopy, Faculty of Science, Charles University, Czech Republic
  5. Biology Centre of the Czech Academy of Sciences, Czech Republic
  6. University Sorbonne Paris Nord, France
26 figures, 2 tables and 1 additional file

Figures

Figure 1 with 1 supplement
Phylogenetic reconstruction of termite odorant receptors (ORs) and their transcript abundances in Prorhinotermes simplex workers.

(A) Phylogenetic tree is based on 182 protein sequences from five species of termites and the bristletail Lepisma saccharina as a basal insect outgroup, and also includes the sequences of ORCo. The topology and branching supports were inferred using the IQ-TREE maximum likelihood algorithm with the JTT+F+R8 model and supported by 10,000 iterations of ultrafast bootstrap approximation. Protein sequences of termite ORs can be found under the same labeling in Johny et al., 2023. L. saccharina sequences are listed in Thoma et al., 2019. Arrowheads highlight the four ORs from P. simplex selected for functional characterization. A fully annotated version of the tree is provided as Figure 1—figure supplement 1. (B) Heatmap shows the transcript abundances of 50 ORs identified in the RNAseq data from P. simplex worker antennae available in NCBI SRA archive under accession SRX17749141.

Figure 1—figure supplement 1
Fully annotated version of the phylogenetic tree of termite odorant receptors (ORs) shown in Figure 1.

Protein sequences of termite ORs can be found under the same labeling in Johny et al., 2023. Lepisma saccharina sequences used as basal insect outgroup are listed in Thoma et al., 2019. The topology and branching supports were inferred using the IQ-TREE maximum likelihood algorithm with the JTT+F+R8 model and supported by 10,000 iterations of ultrafast bootstrap approximation.

Figure 2 with 1 supplement
Single-sensillum recording (SSR) responses of transgenic Drosophila melanogaster ab3 sensillum expressing PsimOR9, 14, 30, and 31 to the initial screening of 11 volatiles with biological relevance for termites.

(A) Heatmap showing the average responses of the four odorant receptors (ORs) as Δ spikes/s from 3 to 6 independent replicates. (B) Comparison of SSR responses of transgenic D. melanogaster ab3A neurons expressing PsimOR14 (ab3A:PsimOR14) and W1118 D. melanogaster. The bars show the average Δ spikes/s values from five independent replicates ± SEM. (C) Characteristic SSR traces of ab3A:PsimOR14 and W1118 flies for 1 µg dose of neocembrene and geranylgeraniol. (D) Dose–response curve of ab3A:PsimOR14 SSR responses to neocembrene. The graph shows average Δ spikes/s values ± SEM based on nine replicates (8 in case of 100 ng and 4 in case of 500 ng stimulations). The curve fit and ED50 value were calculated using log(agonist) versus response non-linear algorithm with least square fit method and the constraint of minimal response >0. The crossing scheme for transgenic fly generation is shown in Figure 2—figure supplement 1, the raw data for all graphs is provided in Figure 2—source data 1–6.

Figure 2—source data 1

Single-sensillum recording (SSR) responses to Panel 1 for PsimOR9.

https://cdn.elifesciences.org/articles/101814/elife-101814-fig2-data1-v1.xlsx
Figure 2—source data 2

Single-sensillum recording (SSR) responses to Panel 1 for PsimOR14.

https://cdn.elifesciences.org/articles/101814/elife-101814-fig2-data2-v1.xlsx
Figure 2—source data 3

Single-sensillum recording (SSR) responses to Panel 1 for PsimOR30.

https://cdn.elifesciences.org/articles/101814/elife-101814-fig2-data3-v1.xlsx
Figure 2—source data 4

Single-sensillum recording (SSR) responses to Panel 1 for PsimOR31.

https://cdn.elifesciences.org/articles/101814/elife-101814-fig2-data4-v1.xlsx
Figure 2—source data 5

Single-sensillum recording (SSR) responses to Panel 1 for ab3:PsimOR14 versus W1118.

https://cdn.elifesciences.org/articles/101814/elife-101814-fig2-data5-v1.xlsx
Figure 2—source data 6

Single-sensillum recording (SSR) dose–response data for neocembrene and PsimOR14 fly line.

https://cdn.elifesciences.org/articles/101814/elife-101814-fig2-data6-v1.xlsx
Figure 2—figure supplement 1
Crossing scheme of termite odorant receptors (ORs) heterologous expression using Drosophila melanogaster empty neurons in ab3 sensilla.
Single-sensillum recording (SSR) responses of transgenic D. melanogaster ab3 sensillum expressing PsimOR14 to the complete set of 67 compounds (Panels 1–4).

(A) Heatmap showing the average responses as Δ spikes/s from 3 to 6 independent replicates. (B) Tuning curve of PsimOR14 for the 67 compounds contained in Panels 1–4. The raw data for both graphs is provided in Figure 3—source data 1–3. Origin and purity of the tested chemicals are provided in Figure 3—source data 4.

Figure 3—source data 1

Single-sensillum recording (SSR) responses to Panel 2 for PsimOR14.

https://cdn.elifesciences.org/articles/101814/elife-101814-fig3-data1-v1.xlsx
Figure 3—source data 2

Single-sensillum recording (SSR) responses to Panel 3 for PsimOR14.

https://cdn.elifesciences.org/articles/101814/elife-101814-fig3-data2-v1.xlsx
Figure 3—source data 3

Single-sensillum recording (SSR) responses to Panel 4 for PsimOR14.

https://cdn.elifesciences.org/articles/101814/elife-101814-fig3-data3-v1.xlsx
Figure 3—source data 4

Origin and purity of the tested chemicals.

https://cdn.elifesciences.org/articles/101814/elife-101814-fig3-data4-v1.xlsx
Neocembrene-responding sensillum in P. simplex workers.

(A) Scanning electron microscopy (SEM) photograph of the last flagellomere of P. simplex worker. Arrow shows a small multiporous grooved sensillum responding to neocembrene and geranylgeraniol. Scale bar represents 50 µm. (B) High-resolution SEM (HR-SEM) view on the neocembrene-responding sensillum. Scale bar in the inset represents 500 nm. (C) Detailed view on single-sensillum recording (SSR) traces recorded from the neocembrene-responding sensillum during spontaneous firing, and upon stimulation with neocembrene and geranylgeraniol.

Single-sensillum recording (SSR) responses of the neocembrene-responding sensillum on the last flagellomere of P. simplex worker.

(A) SSR responses to Panel 1. The bars show the average Δ spikes/s values from 8 to 17 replicates ± SEM. The raw data is provided in Figure 5—source data 1. (B) Characteristic SSR traces of the neocembrene-detecting sensillum for neocembrene and geranylgeraniol. (C) Dose–response curve of the SSR responses to neocembrene by the neocembrene-responding sensillum. The graph shows average Δ spikes/s values ± SEM based on 9–11 replicates. The curve fit and ED50 value were calculated using log(agonist) versus response non-linear algorithm with least square fit method and the constraint of minimal response >0. The raw data is provided in Figure 5—source data 2.

Figure 5—source data 1

Single-sensillum recording (SSR) responses to Panel 1 by neocembrene sensillum in P. simplex workers.

https://cdn.elifesciences.org/articles/101814/elife-101814-fig5-data1-v1.xlsx
Figure 5—source data 2

Single-sensillum recording (SSR) dose–response data for neocembrene and P. simplex neocembrene sensillum.

https://cdn.elifesciences.org/articles/101814/elife-101814-fig5-data2-v1.xlsx
PsimOR14 gene, transcript, and protein structures, docking, and molecular dynamics (MD) simulations.

(A) Genomic locus containing PsimOR14 and PsimOR15. PsimOR14 gene consists of one non-coding and five protein-coding exons. (B) PsimOR14 transcript with six exons, showing the protein-coding (higher boxes) and untranslated regions (lower boxes), and open reading frame (ORF; arrow). (C) Transmembrane architecture of PsimOR14. In red are shown seven residues interacting with neocembrene. Light blue ellipse shows the intracellular loop the most impacted by ligand binding. (D) Modeled apoform of PsimOR14. Red region denotes the binding site identified via docking, light blue region represents the intracellular S4–S5 loop. (E) Holoforms of PsimOR14 with three docked ligands. (F) Absolute PsimOR4 dynamicity expressed as average volumes explored by atoms per simulation step in PsimOR14 apoform and upon binding the three studied ligands. (G) Relative PsimOR14 dynamicity expressed as average explored atom volumes upon ligand binding relative to the volumes in PsimOR14 apoform. Nucleotide and protein sequences of PsimOR14 are provided under NCBI entry OR921181 and as Figure 6—source data 1. Interacting residues and their binding energies to the ligands are listed in Figure 6—source data 2. The raw data for explored atomic volumes are provided in Figure 6—source data 3.

Figure 6—source data 1

Nucleotide and amino acid sequences of PsimOR14.

https://cdn.elifesciences.org/articles/101814/elife-101814-fig6-data1-v1.docx
Figure 6—source data 2

Residues interacting with the docked ligands and their binding energies.

https://cdn.elifesciences.org/articles/101814/elife-101814-fig6-data2-v1.xlsx
Figure 6—source data 3

Explored atomic volumes of PsimOR14 apoform and upon binding of ligands, inferred from molecular dynamics simulations.

https://cdn.elifesciences.org/articles/101814/elife-101814-fig6-data3-v1.xlsx
Caste comparison of PsimOR14 expression and EAG responses between P. simplex workers and soldiers.

(A) Volcano plot representing edgeR differential gene expression analysis of all 50 P. simplex odorant receptors (ORs) in RNAseq data from soldier and workers heads (including antennae) sequenced in three independent biological replicates per caste. Colored dots mark ORs reaching absolute value of log2 fold change ≥1, horizontal lines represent p-value thresholds of 0.05 and 0.01. Based on SRA archives accessible under SRX18952230–32 and SRX18952237–39. Numeric values of the edgeR and DESeq2 differential expression analysis are provided in Figure 7—source data 1. (B) EAG responses of whole antenna preparations of workers and soldiers to neocembrene at a dose of 10 ng (mean ± SD shown on log2 scale). Inter-caste differences were compared using a t-test on log2-transformed data. Raw data is shown in Figure 7—source data 2.

Appendix 1—figure 1
Synthesis of 4 and 5.
Appendix 1—figure 2
Synthesis of 8.
Appendix 1—figure 3
Synthesis of 13.
Appendix 1—figure 4
1H NMR spectrum of compound 1.
Appendix 1—figure 5
13C NMR spectrum of compound 2.
Appendix 1—figure 6
1H NMR spectrum of compound 2.
Appendix 1—figure 7
13C NMR spectrum of compound 3.
Appendix 1—figure 8
1H NMR spectrum of compound 3.
Appendix 1—figure 9
1H NMR spectrum of compound 5.
Appendix 1—figure 10
1H NMR spectrum of compound 6.
Appendix 1—figure 11
13C NMR spectrum of compound 7.
Appendix 1—figure 12
1H NMR spectrum of compound 7.
Appendix 1—figure 13
1H NMR spectrum of compound 9.
Appendix 1—figure 14
13C NMR spectrum of compound 10.
Appendix 1—figure 15
1H NMR spectrum of compound 10.
Appendix 1—figure 16
13C NMR spectrum of compound 11.
Appendix 1—figure 17
1H NMR spectrum of compound 11.
Appendix 1—figure 18
13C NMR spectrum of compound 12.
Appendix 1—figure 19
1H NMR spectrum of compound 12.

Tables

Table 1
Docking scores and energy values inferred from the docking experiment and from MM/PBSA simulations for binding interactions of neocembrene, geranylgeraniol, and (+)-limonene with PsimOR14.
Docking experimentMM/PBSA E (kcal/mol) ± SD
LigandDocking scoreVDWAALSElectrostaticΔTOTALΔVDWAALSΔEELΔGSOLV
(kcal/mol)
Neocembrene–8.658–19.777–0.223–28.72 ± 1.46–26.92 ± 1.24–0.29 ± 0.56–1.51 ± 0.10
Geranylgeraniol–8.331–18.786–11.137–36.98 ± 1.22–35.47 ± 0.96–0.77 ± 0.56–0.73 ± 0.27
(+)-Limonene–7.638–16.134–0.561–20.02 ± 2.63–20.57 ± 2.30–0.35 ± 0.470.89 ± 2.21
Key resources table
Reagent type (species) or resourceDesignationSource or referenceIdentifiersAdditional information
Sequence-based reagentPsimOR14_FThis paperPCR primer – cloningATGATTCGATCAAAGAGAAAGG
Sequence-based reagentPsimOR14_RThis paperPCR primer – cloningTTAGGAGTCGTGTAGATGAAT
Sequence-based reagentPsimO31_FThis paperPCR primer – cloningATGGAATACATAAAAAATGAAACATATTCTCA
Sequence-based reagentPsimO31_RThis paperPCR primer – cloningTCAACCTACGACATGTGAGTTATT
Sequence-based reagentPsimOR9_FThis paperPCR primer – cloningATGGACAGCCTTTACGACCAATCTT
Sequence-based reagentPsimOR9_RThis paperPCR primer – cloningTCATTCAGTGACTGAGGGATCCTT
Sequence-based reagentPsimO30_FThis paperPCR primer – cloningATGGAGCACAGGAAATACAAAGTGACAA
Sequence-based reagentPsimO30_RThis paperPCR primer – cloningTTACGTTCCCTGATTTGTGTCGGTAT
Sequence-based reagentPsimOrco_FThis paperPCR primer – cDNA checkATGTACAAGTTCAGGTTACACG
Sequence-based reagentPsimOrco_RThis paperPCR primer – cDNA checkCTAGTTGAGCTGTACCAACAC
Sequence-based reagentGW1Thermo Fisher ScientificPCR and Sanger sequencing primerGTTGCAACAAATTGATGAGCAATGC
Sequence-based reagentGW2Thermo Fisher ScientificPCR and Sanger sequencing primerGTTGCAACAAATTGATGAGCAATTA
Sequence-based reagentUAS1Gonzalez et al., 2016Sanger sequencing primerTAGCGAGCGCCGGAGTATAAATAG
Sequence-based reagentUAS2Gonzalez et al., 2016Sanger sequencing primerACTGATTTCGACGGTTACCC
Sequence-based reagentDmOr22a_FThis paperPCR primer – genotypingTCTCCAGCATCGCCGAGTGT
Sequence-based reagentDmOr22a_RThis paperPCR primer – genotypingCGGCAGAGGTCCAGTCCGAT
Sequence-based reagentPsimOR14_SW_FThis paperPCR primer – genotypingGAGAGCCAAGCAAACGAAAC
Sequence-based reagentPsimOR14_SW_RThis paperPCR primer – genotypingTTTAGAAGGGAGCCACATCAC
Sequence-based reagentPsimO31_SW_FThis paperPCR primer – genotypingGCTGGGTTAATCCCGATCAT
Sequence-based reagentPsimO31_SW_RThis paperPCR primer – genotypingGCATGGCACCAAATAGTTCTTC
Sequence-based reagentPsimOR9_SW_FThis paperPCR primer – genotypingTGGGCGAAACTGAGGATATG
Sequence-based reagentPsimOR9_SW_RThis paperPCR primer – genotypingCGAGCCGACATAGAAGAAGAG
Sequence-based reagentPsimO30_SW_FThis paperPCR primer – genotypingTGCCATCACCAGCAGATAAA
Sequence-based reagentPsimO30_SW_RThis paperPCR primer – genotypingCACCGACTGACTCAGCATATT
Commercial assay or kitPureLink RNA MiniInvitrogenCat. #: 12183018A
Commercial assay or kitSuperScript IV Reverse TranscriptaseInvitrogenCat. #: 18090050
Commercial assay or kitDreamTaq Green PCR Master MixInvitrogenCat. #: K1081
Commercial assay or kitQIAquick Gel Extraction KitQIAGENCat. #: 28706
Commercial assay or kitpCR8/GW/TOPO TA Cloning KitInvitrogenCat. #: K250020
Strain, strain background (Escherichia coli)OneShot TOP10InvitrogenCat. #: C404010Competent cells, Certificates of Analysis available at https://www.thermofisher.com/order/catalog/product/C404010
Commercial assay or kitQIAprep Spin Miniprep ColumnsQIAGENCat. #: 27115
Commercial assay or kitGateway LR Clonase Enzyme mixInvitrogenCat. #: 11791019
Recombinant DNA reagentpUASg.attb (plasmid)Drosophila Genomics Resource Center, Bloomington, USADGRC Stock 1422; https://dgrc.bio.indiana.edu//stock/1422; RRID:DGRC_1422
Recombinant DNA reagentpUASg.attB-PsimOR (plasmid)This paper
Genetic reagent (D. melanogaster)w; Or22abGAL4Thomas O. Auer (from Richard Benton Lab, University of Lausanne, Switzerland)FLYB:FBal0018186Chahda et al., 2019
Genetic reagent (D. melanogaster)W1118Michal Žurovec (from Laboratory of Molecular Genetics, Institute of Entomology, Czechia)
Genetic reagent (D. melanogaster)w-; Bl/Cyo; TM2/TM6BMPI-Jena, Germany
Genetic reagent (D. melanogaster)w-; +/+; UAS-OR(w+)/UAS-OR(w+)This paperOn-demand commercial transgenesis by BestGene Inc, USA
Sequence-based reagent (Cryptotermes secundus)CsecOR and ORco sequencesJohny et al., 2023
Sequence-based reagent (Zootermopsis nevadensis)ZnevOR and ORco sequencesJohny et al., 2023
Sequence-based reagent (Lepisma saccharina)LsacOR sequences Thoma et al., 2019
Sequence-based reagent (Inquilinitermes inquilinus)IinqOR and ORco sequencesJohny et al., 2023
Sequence-based reagent (Neotermes cubanus)NcubOR and ORco sequencesJohny et al., 2023
Sequence-based reagent (Prorhinotermes simplex)PsimOR and ORco sequencesJohny et al., 2023

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  1. Souleymane Diallo
  2. Kateřina Kašparová
  3. Josef Šulc
  4. Jibin Johny
  5. Jan Křivánek
  6. Jana Nebesářová
  7. David Sillam-Dussès
  8. Pavlína Kyjaková
  9. Jiří Vondrášek
  10. Aleš Machara
  11. Ondřej Lukšan
  12. Ewald Grosse-Wilde
  13. Robert Hanus
(2025)
Identification of the trail-following pheromone receptor in termites
eLife 13:RP101814.
https://doi.org/10.7554/eLife.101814.3