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Unique Features of Odorant-Binding Proteins of the Parasitoid Wasp Nasonia vitripennis Revealed by Genome Annotation and Comparative Analyses

  • Filipe G. Vieira ,

    Contributed equally to this work with: Filipe G. Vieira, Sylvain Forêt

    Current address: Centre for Theoretical Evolutionary Genomics, University of California, Berkeley, California, United States of America

    Affiliation Departament de Genètica and Institut de Recerca de la Biodiversitat (IRBio), Universitat de Barcelona, Barcelona, Spain

  • Sylvain Forêt ,

    Contributed equally to this work with: Filipe G. Vieira, Sylvain Forêt

    Affiliations ARC Centre of Excellence for Coral Reef Studies, James Cook University, Townsville, Queensland, Australia, Evolution, Ecology and Genetics, Research School of Biology, The Australian National University, Canberra, Australian Capital Territory, Australia

  • Xiaoli He,

    Current address: Department of Genetics, Evolution and Environment, University College London, London, United Kingdom

    Affiliation Department of Biological Chemistry and Crop Protection, Rothamsted Research, Harpenden, Hertfordshire, United Kingdom

  • Julio Rozas,

    Affiliation Departament de Genètica and Institut de Recerca de la Biodiversitat (IRBio), Universitat de Barcelona, Barcelona, Spain

  • Linda M. Field,

    Affiliation Department of Biological Chemistry and Crop Protection, Rothamsted Research, Harpenden, Hertfordshire, United Kingdom

  • Jing-Jiang Zhou

    Affiliation Department of Biological Chemistry and Crop Protection, Rothamsted Research, Harpenden, Hertfordshire, United Kingdom


Insects are the most diverse group of animals on the planet, comprising over 90% of all metazoan life forms, and have adapted to a wide diversity of ecosystems in nearly all environments. They have evolved highly sensitive chemical senses that are central to their interaction with their environment and to communication between individuals. Understanding the molecular bases of insect olfaction is therefore of great importance from both a basic and applied perspective. Odorant binding proteins (OBPs) are some of most abundant proteins found in insect olfactory organs, where they are the first component of the olfactory transduction cascade, carrying odorant molecules to the olfactory receptors. We carried out a search for OBPs in the genome of the parasitoid wasp Nasonia vitripennis and identified 90 sequences encoding putative OBPs. This is the largest OBP family so far reported in insects. We report unique features of the N. vitripennis OBPs, including the presence and evolutionary origin of a new subfamily of double-domain OBPs (consisting of two concatenated OBP domains), the loss of conserved cysteine residues and the expression of pseudogenes. This study also demonstrates the extremely dynamic evolution of the insect OBP family: (i) the number of different OBPs can vary greatly between species; (ii) the sequences are highly diverse, sometimes as a result of positive selection pressure with even the canonical cysteines being lost; (iii) new lineage specific domain arrangements can arise, such as the double domain OBP subfamily of wasps and mosquitoes.


Chemical senses are central to the life history of the parasitoid wasp, Nasonia vitripennis, commonly known as the jewel wasp. For instance, their courtship behaviour is guided by male [1] and female [2] pheromones and females locate hosts and parasitize the pupae of various fly species using olfactory signals [3], [4]. The wasps also use chemical cues from host pupae to bias the sex ratio of their offspring, manipulate the clutch size and to avoid oviposition on dead hosts, or those containing well-developed parasitoid larvae, pupae or adults [5], [6], [7].

The Nasonia genus is mainly comprised of three closely related species of wasps. N. vitripennis (Walker) is found throughout the world and is estimated to have diverged from N. giraulti and N. longicornis approximately 1.0 million years ago (Mya). The three species are normally genetically isolated as the result of Wolbachia-induced cytoplasmic incompatibility and laboratory strains, cured of Wolbachia are interfertile, provide a useful source of genetic and sequence variation for mapping studies. Consequently, Nasonia serves as a useful model system, particularly for the study of the genetics of complex traits and for comparative developmental genetics. The genomes of three Nasonia species, N. vitripennis, N. giraulti and N. longicornis have been sequenced [8] and at the time of writing, all other Hymenoptera with a sequenced genome belong to the Aculeata group, which diverged from the Chalcidoida (the clade of parasitic wasps that includes Nasonia) approximately 200 Mya ago. The phylogenetic position of Nasonia is therefore very important for studies of sequence changes along the apocritan Hymenoptera lineage, which comprises both social and parasitoid groups.

We searched the Nasonia genome sequences to gain insight into the evolution and diversity of the odorant binding protein (OBP) family. Insect OBPs are small, water soluble proteins present at a very high concentration (up to 10 mM) in the chemosensillum lymph bathing the dendrites of olfactory nerve cells in antennae [9]. They function as carrier proteins, transporting semiochemicals to olfactory receptors and thus constitute the first molecular recognition step in insect olfaction [9], [10]. Some members of the OBP family have been shown to be involved directly in the olfactory process [11], [12], [13], [14]. However, several studies have reported the expression of OBPs in non-olfactory organs [15], [16], [17], [18] and thus the function of this family of proteins appears to be diverse and context-dependent.

OBPs typically contain six highly conserved cysteine residues, forming disulphide bonds that stabilise the 3-D structures [19], [20], [21], [22], [23]. The presence or absence of these canonical cysteine residues has been used to classify OBPs into three subfamilies: classic OBPs (six canonical cysteines), plus-C OBPs (more than six cysteines) and minus-C OBPs (less than six cysteines) [17], [24], [25], [26], [27]. In Drosophila melanogaster, transcripts encoding two OBP dimers (DmelOBP83cd and Dmel83OBPef) have been identified, with two complete OBP domains each with six conserved cysteines (a total of 12 cysteines). Some OBPs are thought to form homo- and hetero-dimers in vivo [28] and thus the fusion of two OBP domains would generate an OBP dimer to form a single gene.

The Nasonia genome paper [8] reported a preliminary annotation of 90 OBP-like genes. Here we carry out further analyses of these genes and describe the unique features and the evolutionary origins of the wasp OBPs. A previous study has reported the genome annotation of 90 OBP-like genes in the N. vitripennis genome as the supplementary material [8]. Here we carry out further analyses of those OBPs report for the first time the genome annotation and analysis of 90 OBP-like genes in the genome of N. vitripennis and describe the unique features and evolutionary origin of the wasp OBPs.

Results and Discussion

Annotation of OBPs

Genome wide searches of the N. vitripennis (Nvit) assembly v1.0 [8] identified 90 sequences [EMBL: HE578186-HE578278] encoding proteins with a high similarity (likely homologous) to insect OBPs which we have named NvitOBPs (Table 1, Figure 1, Figure S3 and S4). Searches against the N. vitripennis ESTs and the raw genomic traces did not yield any additional sequences; it is therefore likely that we have identified the full complement of OBP-like sequences in N. vitripennis. This is the largest OBP family reported so far in any insect species [29], [30]. By contrast, the honeybee Apis mellifera has only 21 OBP genes [31], the fire ant Solenopsis invicta only 12 [32] and the pea aphid Acyrthosiphon pisum only 15 [33]. As would be expected, based on the very high genomic sequence similarity between the three Nasonia species, all 90 sequences identified in N. vitripennis have a clear ortholog in N. giraulti and N. longicornis. Interestingly, we did not find any “plus-C” OBPs [26] in this large OBP repertoire with all Nasonia OBPs belonging to the “classic” or the “minus-C” OBP subfamilies [25]. We named N. vitripennis OBP genes using the “NvitOBP” prefix followed by a number incremented from the 5′ end of their scaffold to the 3′ end, in increasing scaffold order (Table 1). Of the 90 genes, 59 sequences have full EST support, three are partially supported and the remaining 28 have no EST support, eight of the latter having frameshifts, indicating that these are pseudogenes (Table 1).

Figure 1. Multiple Sequence Alignment (MSA) of all 90 Nasonia OBP sequences.

The signal peptides are in skyblue boxes, the conserved residues are highlighted, the characteristic cysteines indicated in purple boxes. The splice sites are labelled with orange separators: vertical ones indicate splice sites between codons; backward slanted separators indicate splice sites within codons after the first base. The double-domain OBPs are NvitOBP38-NvitOBP46 and NvitOBP48.

Table 1. Summary of N. vitripennis OBPs. Unless otherwise indicated, the “Status” is protein coding and “EST support” is full.

Loss of conserved cysteine residues

The highly conserved pattern of cysteine residues in insect OBPs is very important for the disulphide bonding that stabilise the folded OBP structures [19], [20]. Classic OBP structure is composed of 6 cysteine residues forming 3 disulphide bonds, although other forms have also been reported [24], [34]. Interestingly, the wasp OBPs have lost a large number of such conserved cysteines, with a minimum of 22 independent loss events (Table 2). One event involves the loss of three cysteines (C4/C5/C6), 13 events involve the loss of two cysteines (1 for C1/C3; 8 for C2/C5; 1 for C2/C6; 2 for C4/C6; 1 for C5/C6) and eight events involve the loss of a single cysteine (2 for C1; 2 for C2; 2 for C5; 2 for C6). We assessed whether the cysteine losses occurred at random or if they preferentially involved disulphide bond-forming cysteines (Table 2). Considering just the 13 events involving two cysteine replacements (58 OBP genes), 11 of them involved cysteines forming disulphide bonds. The probability that 11 out of 13 would specifically affect the two disulphide bond-forming cysteines is extremely low (p = 1.065779e−6), suggesting that the replacement of one cysteine (if such event is not deleterious) reduces the selective constraints acting on their former partner.

Double-domain OBPs

We have identified 10 unusual N. vitripenis sequences encoding putative OBPs (OBP38-OBP46 and OBP48) with only little sequence similarity with the OBPs of other insect species. However, these 10 OBPs have significant similarity with those of the other wasp OBPs, which are in turn related to the classical OBPs of other insects. Moreover, the 10 N. vitripenis genes are found in the middle of a genomic cluster located on scaffold 9 containing predominantly OBP genes (Table 1). Nine of these non-standard OBPs (all except OBP43) are exceptionally long (more than 250 amino acids) and are formed by two OBP domains arranged in tandem. One of the two domains, however, has undergone extensive loss of the canonical cysteines and become a “minus-C OBP”. These double-domain OBPs are thus different from the dimer OBPs of D. melanogaster (Dmel), such as DmelOBP83cd and DmelOBP83ef, which have two complete OBP domains with no cysteine losses. This domain organization fits well with the functional hypothesis of OBP dimerization [28], [35], [36]. Moreover, a number of ESTs support the fact that the transcripts of these genes contain both OBP domains.

Domain definition

We defined the two domains of the double-domain wasp OBPs using the splicing pattern, sequence similarity and cysteine profile (Figure 1). In fact, the two domains have, in almost all cases, the same gene structure, which is similar to the closely-related classic OBPs (except for the signal peptides) (Figure 2 and 3). Excluding the signal peptides, we define the 1st domain from positions 25 to 186 and the 2nd domain from 187 to ∼240 of the multiple sequence alignment (Figure 1).

Figure 2. Mid-point rooted phylogenetic relationships of Nasonia vitripennis (light brown) and Apis mellifera (orange) OBPs.

The outer ring shows the intron/exon structure in the coding region (intron phases are represented by colour-coded crossed bars: dark orange, phase 0; blue, phase 1; black, phase 2. The scale bar represents 1 amino acid substitution per site. The tree is displayed using the iTOL webserver (Letunic and Bork 2007). The accession numbers of OBPs used are listed in Table S1.

Figure 3. Comparison of the phylogenetic tree topologies of double-domain OBPs.

The phylogenetic trees built using the full-length Nasonia double-domain OBPs are depicted in black, and those with information of the first domain or second domain in dark blue or dark orange, respectively. A) Full-length OBPs (left) compared with the first OBP domain (right). B) Full-length OBPs compared with the second OBP domain. C) The second domain compared with the first domain. Branch support values represent Bayesian and bootstrap, respectively. Scale bars represent amino acid substitutions per site.

Interestingly, the gene cluster containing the double-domain OBPs also includes two single-domain proteins (NvitOBP43 and NvitOBP47) that appear to have different evolutionary histories. The phylogenetic analysis suggests that NvitOBP47 is a classic OBP, with just one domain, whilst the NvitOBP43 sequence clusters with the 1st domain of other double-domain OBPs (Figure 3 and Figure 4). Furthermore, the NvitOBP43 gene has several features reminiscent of the 2nd domain i.e. the 1st exon, the splice site and the 1st cysteine. It is therefore likely that NvitOBP43 is a former double-domain OBP that has lost most of its 2nd domain.

Figure 4. Phylogenetic relationships of Nasonia's double-domain OBPs with their closest Classic OBPs.

Double-domain OBPs were split in the two encompassing domains (domain 1 in dark blue; domain 2 in dark orange).

Overlapping transcripts and expressed pseudogenes

An analysis of all publicly available Nasonia ESTs revealed a region on Scaffold 9 (between positions 2,440,886 and 2,447,816), within the double domain OBP gene cluster, containing several ESTs that partially overlap two pseudogenes (NvitOBP33 and NvitOBP34) and one gene (NvitOBP35). Two of these ESTs span across NvitOBP33 and NvitOBP34, and 11 ESTs cover exons of both NvitOBP34 and NvitOBP35 (Figure 5). NvitOBP33 and NvitOBP34 are predicted to be pseudogenes, and this prediction is supported by ESTs. It is possible, however, to construct alternative genes models that do not contain the frame-shift and premature stop codons found in these genes (Figure S1), but still contain only canonical intron-exon junctions. We used primers designed to test for the presence of transcripts from these genes but none were detected (Figure S2).

Figure 5. Overlapping transcripts.

In green: Nasonia vitripenis ESTs, in blue: gene models predicted based on these ESTs.

Evolutionary origin of the double domain OBPs

Phylogenetic analyses revealed that all double-domain Nasonia OBPs are monophyletic, suggesting a unique origin of these proteins. Indeed, each domain is also monophyletic and the topologies of the trees based on the separate domains are consistent with the trees constructed with the full length sequences (Figure 3 and Figure 4). There are two possible mechanisms for such double-domain OBPs, either internal gene duplication or gene fusion between two physically close paralogs. The existence of overlapping transcripts in the cluster containing these genes (see previous section) might suggest that the latter mechanism is more likely. Also, the Nasonia double-domain OBPs clearly cluster together with some classic OBPs with a reasonable SH (Shimodaira–Hasegawa likelihood ratio test [37]) support (Figure 2), suggesting that double-domain OBPs evolved from a single event that merged two closely related genes. Moreover, all the Nasonia double-domain OBPs are located in a cluster located on scaffold 9 (Table 1), suggesting that this expansion occurred after the merging of the two domains. Remarkably, the mosquitoes Anopheles gambiae and Aedes aegypti also have a cluster of double-domain OBPs (the atypical OBPs) [38], [39] and their evolutionary history is broadly similar to what we have seen in N. vitripennis, with a putative origin from a single duplication/fusion event, as shown on Figure 6.

Figure 6. Phylogenetic relationships of OBPs from some insect species.

The mid-point rooted tree includes OBP sequences from Drosophila melanogaster and Drosophila mojavensis (Dmel, Dmoj; red branches), Anopheles gambiae (Agam; blue branches), Bombyx mori (Bmor; brown branches), Tribolium castaneum (Tcas; green branches), Apis mellifera (Amel; orange branches), Nasonia vitripennis (Nvit; yellow branches), Pediculus humanus (Phum; pink branches) and Acyrthosyphon pisum (Apis; cyan branches). The scale bar represents 1 amino acid substitution per site. The image was created using the iTOL web server (Letunic and Bork 2007). The accession numbers of the OBPs are listed in Table S1.

The main lineage-specific expansion of the OBP family in Nasonia includes the double-domain genes (Figure 2). We carried out an analysis of the selective selection pressure on these genes using the codeml software of the PAML package. As indicated in Table 3, this showed that the M2s model (with positive selection) has a higher likelihood than the M1a (purifying selection) but the difference is not statistically significant (p = 0.7). The M8 model, however, has a significantly higher likelihood than both the M7 (purifying) (p = 0.004) and M8a (purifying and neutral) models (p = 0.02), but none of the sites reach the 95% confidence level (BEB analysis). This suggests that positive selection pressure has probably played a role in the diversification of the sequences in this lineage specific expansion, but such inference based on such diverged protein sequences is to be taken with caution [40].

Table 3. Log-likelihood and statistical significance of various models of selection pressure on the sequence of the Nasonia double domain OBPs, obtained with the codeml software of the PAML package.

Relationships with other insect OBPs

Phylogenetic trees for OBPs from Hymenopteran insects (Figure 2) and from other insects with genome or genomic sequences publically accessible were constructed using Bayesian phylogenetic inference (MrBayes v3.2) (Figure 6). We considered that the inference procedure had converged when the average standard deviation of split frequencies was smaller than 0.05 and 0.01 for ‘all insect’ and ‘hymenoptera’ trees, respectively. The trees show a number of highly supported terminal relationships between genes in tandem and closely related genes and several lineage specific expansions, both hinting at extensive expansion after speciation by tandem gene duplication.

We have found three orthologs of Nasonia OBPs in A. mellifera (NvitOBP76-AmelOBP1, NvitOBP02-AmelOBP10, NvitOBP90-AmelOBP5) (Figure 2) and two orthologous groups with members in several of the insects studied (DmelObp59a-AgamOBP29-TcasOBP45-NvitOBP64 and DmelObp73a-ApisOBP4) (Figure 6). This high conservation across insect species suggests that these OBPs have an important function for insects.


Using the OBP sequence motif search [23], [26], [33], [39], homology searching [25], [41], [38], [42] and genomic sequence analyses [35], [30] we have annotated 90 genes encoding putative OBPs in N. vitripennis. This is the largest OBP gene family so far reported in insects and has allowed us to identify some of unique features and to be able to study evolution origin of these features. This exceptionally high number of OBPs mirrors the large number of genes encoding olfactory receptors in this species (over 200 ORs) [8]. It has been proposed that the expansion of these gene families related to olfaction has an origin in the need to detect and discriminate between a number of diverse odours for food and reproduction and to avoid dangers [43]. In the absence of functional evidence, however, it is unclear how many of the Nasonia OBPs are truly involved in olfaction, and whether the OBP expansion in Nasonia is necessarily related to any olfactory role. Further experiments are needed to determine which Nasonia OBPs are expressed in olfactory tissues, and what type of molecule they carry.

All Nasonia OBPs belong to the “classic” subfamily with no “Plus-C” OBPs but a large number which have lost at least one of the characteristic six conserved cysteines. Our most striking finding is a group of double-domain OBPs with little sequence similarity to OBPs of other species but with substantial similarity with the other NvitOBPs. These double-domain OBPs are thus different from the fusion of two classic OBP domains in that one of the two domains has undergone extensive loss of the canonical cysteines and become equivalent to “minus-C OBPs”. This is supported by the finding that the two domains of these NvitOBPs have the same gene structure, similar to the closely related classic OBPs, and are monophyletic. The results suggest that double-domain OBPs evolved from a single event. It is possible these functional double-domain OBP proteins may have acquired an equivalent function to that performed by two ‘classic’ OBPs acting as dimmers.

Taken together, the multiple occurrences of canonical cysteine losses, and the independent emergence of double domain OBPs in wasps, flies and mosquitos, represent a striking case of convergent evolution of protein structures. The main challenge remains to understand the functional significance of these structural changes.

Materials and Methods

OBP identification and annotation

A list of all described OBP-like protein sequences was built as described in Forêt and Maleszka (2006). The sequences were then used to build models for PSI-BLAST [44] and HMMER [45] to search the N. vitripennis genomic scaffolds [8]. The PSI-BLAST and HMMER models were iteratively updated with each newly identified sequence. Gene models were constructed and manually curated using the Apollo genome annotation software [46].

Nucleic acids analyses

Whole adult N. vitripennis were homogenised in 250 µL genomic DNA extraction buffer (100 mM Tris-HCl pH 9.0, 100 mM EDTA, 1% SDS) in 1.5-mL eppendof tubes. The extraction mixture was heated at 70°C for 30 min, mixed with 35 µL of 8 M KAc solution, incubated on ice for 30 min. The supernatant containing DNA was obtained by centrifugation at 13,000×g for 10 min, and then extracted further with 280 µL chloroform∶phenol 1∶1. The DNA sample was treated with 2 µL RNase (10 mg/mL) at 37°C for 15 min, extracted again with 250 µL chloroform, and finally DNA was precipitated with 2.5 volume of 100% ethanol.

RNA from whole N. vitripennis adults was extracted using Trizol reagent (Invitrogen) according to the manufacturer's protocol. Reverse transcriptions were carried out using SuperScript II (Invitrogen). The cDNA for RT-PCR was prepared with an oligo(dT)15 primers (Promega) and SuperScript™ II Reverse Transcriptase RNAase H (Invitrogen Life Technologies), and used as the PCR template.

The PCR amplifications contained 14.5 µl sterile water, 2 µl (10×) PCR buffer including 15 mmol/L Mg2+, 0.4 µl dNTP mixture (10 mmol/L), 0.5 µl each of forward and reverse primers (25 mmol/L), and 0.1 µl HotStarTaq® DNA polymerase (5 U/µl, Qiagen, Chatsworth, CA) and were done in a Hybaid thermocycler with thermo-cycling program: 15 min at 95°C followed by 35 cycles of 40 sec at 94°C, 40 sec at 53°C, and 40 sec at 72°C, with 7 min at 72°C after the last cycle. The PCR primers are Primer_F1 (5′-CCCAGGATAAGCAGTTTAGCTG-′3) on the second exon of the 3′-end of NvitOBP33, Primer_R2 (3′-TCATTTTCGACGAGCTGCTG-5′) on the first exon of the 5′-end of NvitOBP34 and Primer_R1 (3′-ATTTAGAGGATTACTGCGACGC-5′) on the last exon of NvitOBP35.

Phylogenetic analysis

Amino acid sequences were aligned with MAFFT v6 [47], removing positions with over 95% gaps. Phylogenies were inferred using maximum likelihood (ML; with PhyML v2.0, [48]) and Bayesian inference using MrBayes v1.2 [49]. For these analyses the LG amino acid substitution matrix was used and positions with over 95% gaps were removed, as preliminary MrBayes runs rapidly converged to this model. Support for maximum likelihood phylogenies were assessed with the likelihood-based SH test [37] using 100 bootstrap replicates. Each Bayesian analysis was run for 10,000,000 iterations, using two parallel runs with four chains each. The first 2,500,000 iterations were discarded as “burnin”. All analyses reached convergence, as indicated by the average standard deviation of split frequencies being smaller than 0.05 or 0.01 for the ‘all insect’ and the ‘Hymenoptera’ trees, respectively. The trees were displayed with iTOL [50] and FigTree ( Analyses of selective constraints were conducted using the codeml program from the PAML v4 software package [51].

Conserved cysteine profiles

We inferred cysteine loss events by minimizing the number of events given the OBP phylogenetic gene tree (a maximum parsimony criteria). We tested if the cysteine loss events had occurred at random or had preferentially involved disulphide bond-forming cysteines. Assuming that each OBP has 6 cysteines, forming three disulphide bonds, after losing the first cysteine the probability of a second loss in a ‘bond’ or ‘non-bond’ cysteine is q = 1/5 and p = 4/5, respectively. We can thus use a binomial distribution to compute the probability that given a number of X events involving two cysteine replacements Y (or more) involve cysteines forming disulphide bonds by the binomial distribution.

Defining OBP domains

We delimited the OBP domains using sequence similarity, splicing pattern and cysteine profile information. We first determined the approximate boundary of the two domains by a dotplot analysis (using the web-based Dotlet program; [52]) between several single-domain and double-domain proteins. To pinpoint the most probable boundary between the domains we complemented the dotplot analysis with the splice site distribution and cysteine profiles.

Supporting Information

Figure S1.

Alternative models for NvitOBP33 and NvitOBP34.


Figure S2.

PCR products of the overlapping transcript within a genomic region containing three OBP genes from the cDNA (Lane 1 and 3) and gDNA (Lane 2 and 4) with the primer pair crossing whole region containing three OBP genes (Lane 1 and 2), and with the primer pair crossing the region containing NvitOBP33 and NvitOBP34 (Lane 3 and 4).


Figure S3.

The derived protein sequences of all 90 Nasonia vitripennis OBPs.


Figure S4.

The Coding DNA sequences and EMBL entries of all 90 Nasonia vitripennis OBPs.


Table S1.

Accession numbers of protein sequences cited in the manuscript.



We thank Prof. David M. Shuker, University of Edinburgh, UK who provided us with N. vitripennis. Rothamsted Research receives grant-aided support from the BBSRC of the UK.

Author Contributions

Conceived and designed the experiments: FGV SF JJZ JR. Performed the experiments: FGV SF JJZ XH. Analyzed the data: FGV SF JJZ. Contributed reagents/materials/analysis tools: FGV SF JJZ JR LF. Wrote the paper: FGV SF JJZ JR LF.


  1. 1. Ruther J, Steiner S, Garbe LA (2008) 4-methylquinazoline is a minor component of the male sex pheromone in Nasonia vitripennis. J Chem Ecol 34: 99–102.
  2. 2. Steiner S, Hermann N, Ruther J (2006) Characterization of a female-produced courtship pheromone in the parasitoid Nasonia vitripennis. J Chem Ecol 32: 1687–1702.
  3. 3. Turlings TCJ, Wäckers FL, Vet LEM, Lewis WJ, Tumlinson JH (1993) Learning of host-finding cues by hymenopterous parasitoids. In: Papaj DR, Lewis AC, editors. Insect learning: ecological and evolutionary perspectives. New York: Chapman and Hall. pp 51–78.
  4. 4. Schurmann D, Collatz J, Hagenbucher S, Ruther J, Steidle JL (2009) Olfactory host finding, intermediate memory and its potential ecological adaptation in Nasonia vitripennis. Naturwissenschaften 96: 383–391.
  5. 5. Wylie HG (1979) Sex ratio variability of muscidifurax zaraptor (hymenoptera: pteromalidae). The Canadian Entomologist 111: 105–109.
  6. 6. King PE, Rafai J (1970) Host discrimination in a gregarious parasitoid Nasonia vitripennis (walker) (hymenoptera: pteromalidae). J Exp Biol 53: 245–354.
  7. 7. King BH, Skinner SW (1991) Proximal mechanisms of the sex ratio and clutch size responses of the wasp Nasonia vitripennis to parasitized hosts. Anim Behav 42: 23–32.
  8. 8. Werren JH, Richards S, Desjardins CA, Niehuis O, Gadau J, et al. (2010) Functional and Evolutional Insights from the Genomes of three parasitoid Nasonai species. Science 327: 343–348.
  9. 9. Vogt RG, Riddiford LM (1981) Pheromone binding and inactivation by moth antennae. Nature 293: 161–163.
  10. 10. Van Den Berg MJ, Ziegelberger G (1991) On the function of the pheromone binding protein in the olfactory hairs of Antheraea polyphemus. J Insect Physiol 37: 79–85.
  11. 11. Benton R, Vannice KS, Vosshall LB (2007) An essential role for a CD36-related receptor in pheromone detection in Drosophila. Nature 450: 289–293.
  12. 12. Laughlin JD, Ha TS, Jones DN, Smith DP (2008) Activation of pheromone-sensitive neurons is mediated by conformational activation of pheromone-binding protein. Cell 133: 1255–65.
  13. 13. Forstner M, Breer H, Krieger J (2009) A receptor and binding protein interplay in the detection of a distinct pheromone component in the silkmoth Antheraea polyphemus. Int J Biol Sci 5: 745–757.
  14. 14. Swarup SA, Williams TI, Anholt RRH (2011) Functional dissection of Odorant binding protein genes in Drosophila melanogaster. Genes, Brain and Behavior 10: 648–657.
  15. 15. Pelosi P, Zhou JJ, Ban LP, Calvello M (2006) Soluble proteins in insect chemical communication. Cell Mol Life Sci 63: 1658–76 Review.
  16. 16. Zhou JJ (2010) Odorant-binding proteins in insects. Vitam Horm 83: 241–72 Review.
  17. 17. Forêt S, Maleszka R (2006) Function and evolution of a gene family encoding odorant binding-like proteins in a social insect, the honey bee (Apis mellifera). Genome Res 16: 1404–1413.
  18. 18. Gotzek D, Ross KG (2009) Current status of a model system: the gene Gp-9 and its association with social organization in fire ants. PLoS One 4: e7713.
  19. 19. Leal WS, Nikonova L, Peng G (1999) Disulphide structure of the pheromone binding protein from the silkworm moth, Bombyx mori. FEBS Lett 24: 85–90.
  20. 20. Scaloni A, Monti M, Angeli S, Pelosi P (1999) Structural analysis and disulphide-bridge pairing of two odorant-binding proteins from Bombyx mori. Biochem Biophys Res Comm 266: 386–391.
  21. 21. Sandler BH, Nikonova L, Leal WS, Clardy J (2000) Sexual attraction in the silkworm moth: structure of the pheromone-binding-protein-bombykol complex. Chem Biol 7: 143–51.
  22. 22. Tegoni M, Campanacci V, Cambillau C (2004) Structural aspects of sexual attraction and chemical communication in insects. Trends Biochem Sci 29: 257–64 Review.
  23. 23. Zhou JJ, Robertson G, He X, Dufour S, Hooper AM, et al. (2009) Characterisation of Bombyx mori Odorant-binding proteins reveals that a general odorant-binding protein discriminates between sex pheromone components. J Mol Biol 389: 529–45.
  24. 24. Lagarde A, Spinelli S, Qiao H, Tegoni M, Pelosi P, et al. (2011) Crystal structure of a novel type of odorant binding protein from Anopheles gambiae, belonging to the C+ class. Biochem J 437: 423–430.
  25. 25. Hekmat-Scafe DS, Scafe CR, McKinney AJ, Tanouye MA (2002) Genome-wide analysis of the odorant-binding protein gene family in Drosophila melanogaster. Genome Res 12: 1357–1369.
  26. 26. Zhou JJ, Huang W, Zhang GA, Pickett JA, Field LM (2004) “Plus-C” odorant-binding protein genes in two Drosophila species and the malaria mosquito Anopheles gambiae. Gene 327: 117–29.
  27. 27. Zhou JJ, He XL, Pickett JA, Field LM (2008) Identification of odorant-binding proteins of the yellow fever mosquito Aedes aegypti: genome annotation and comparative analyses. Insect Mol Biol 17: 147–63 Erratum in: Insect Mol. Biol. 17:445.
  28. 28. Andronopoulou E, Labropoulou V, Douris V, Woods DF, Biessmann H, et al. (2006) Specific interactions among odorant-binding proteins of the African malaria vector Anopheles gambiae. Insect Mol Biol 15: 797–811.
  29. 29. Sánchez-Gracia A, Vieira FG, Rozas J (2009) Molecular evolution of the major chemosensory gene families in insects. Heredity 103: 208–216.
  30. 30. Vieira FG, Rozas J (2011) Comparative Genomics of the Odorant-Binding and Chemosensory Protein Gene Families across the Arthropod: Origin and evolutionary history of the chemosensory system. Genome Biol and Evol 3: 476–490.
  31. 31. Forêt S, Wanner KW, Maleszka R (2007) Chemosensory proteins in the honey bee: Insights from the annotated genome, comparative analyses and expressional profiling. Insect Biochem. Mol Biol 37: 19–28.
  32. 32. Wurm Y, Wang J, Wurm Y, Wang J, Riba-Grognuz O, et al. (2011) The genome of the fire ant Solenopsis invicta. Proc Natl Acad Sci USA 108,14: 5679–5684.
  33. 33. Zhou JJ, Vieira FG, He XL, Smadja C, Liu R, et al. (2010) Genome annotation and comparative analyses of the odorant-binding proteins and chemosensory proteins in the pea aphid Acyrthosiphon pisum. Insect Mol Biol Suppl. 2: 113–22.
  34. 34. Lagarde A, Spinelli S, Tegoni M, He X, Zhou JJ, et al. (2011) The crystal structure of odorant binding protein 7 from Anopheles gambiae exhibits an outstanding adaptability of its binding site. J Mol Biol 414: 401–12.
  35. 35. Sánchez-Gracia A, Rozas J (2008) Divergent evolution and molecular adaptation in the Drosophila odorant-binding protein family: inferences from sequence variation at the OS-E and OS-F genes. BMC Evol Biol 8: 323.
  36. 36. Qiao H, He X, Schymura D, Ban L, Zhou JJ, et al. (2011) Cooperative interactions between odorant-binding proteins of Anopheles gambiae. Cell Mol Life Sci 68: 1799–813.
  37. 37. Shimodaira H, Hasegawa M (1999) Multiple comparisons of log-likelihoods with applications to phylogenetic inference. Mol Biol Evol 16: 1114–1116.
  38. 38. Xu PX, Zwiebel LJ, Smith DP (2003) Identification of a distinct family of genes encoding atypical odorant-binding proteins in the malaria vector mosquito, Anopheles gambiae. Insect Mol Biol 12: 549–60.
  39. 39. Li S, Picimbon JF, Ji S, Kan Y, Chuanling Q, et al. (2008) Multiple functions of an odorant-binding protein in the mosquito Aedes aegypti. Biochem Biophys Res Commun 372(3): 464–8.
  40. 40. Gotzek D, Robertson HM, Wurm Y, Shoemaker D (2011) Odorant Binding Proteins of the Red Imported Fire Ant, Solenopsis invicta: An Example of the Problems Facing the Analysis of Widely Divergent Proteins. PLoS ONE 6: e16289.
  41. 41. Gu SH, Wang WX, Wang GR, Zhang XY, Guo YY, et al. (2011) Functional characterization and immunolocalization of odorant binding protein 1 in the lucerne plant bug, Adelphocoris lineolatus (GOEZE). Arch Insect Biochem Physiol 77(2):81–99.
  42. 42. Pelletier J, Leal WS (2009) Genome analysis and expression patterns of odorant-binding proteins from the Southern House mosquito Culex pipiens quinquefasciatus. PLoS One 4: e6237.
  43. 43. Robertson HM, Gadau J, Wanner KW (2010) The insect chemoreceptor superfamily of the parasitoid jewel wasp Nasonia vitripennis. Insect Molecular Biology 19: s1 121–136.
  44. 44. Altschul SF, Madden TL, Schäffer AA, Zhang J, Zhang Z, et al. (1997) Gapped BLAST and PSI-BLAST: A new generation of protein database search programs. Nucleic Acids Res 25: 3389–3402.
  45. 45. Finn RD, Clements J, Eddy SR (2011) HMMER web server: interactive sequence similarity searching. Nucleic Acids Res 39: W29–37.
  46. 46. Lewis SE, Searle SMJ, Harris N, Gibson M, Iyer V, et al. (2002) Apollo: a sequence annotation editor. Genome Biology 3: research0082.
  47. 47. Katoh K, Misawa K, Kuma K, Miyata T (2002) MAFFT: a novel method for rapid multiple sequence alignment based on fast Fourier transform. Nucleic Acids Res 30: 3059–66.
  48. 48. Guindon S, Lethiec F, Duroux P, Gascuel O (2005) PHYML Online–a web server for fast maximum likelihood-based phylogenetic inference. Nucleic Acids Res 33(Web Server issue):W557–9.
  49. 49. Huelsenbeck JP, Ronquist F (2001) MRBAYES: Bayesian inference of phylogenetic trees. Bioinformatics 17: 754–755.
  50. 50. Letunic I, Bork P (2007) Interactive Tree Of Life (iTOL): an online tool for phylogenetic tree display and annotation. Bioinformatics 23: 127–128.
  51. 51. Yang Z (2007) PAML 4: phylogenetic analysis by maximum likelihood. Mol Biol Evol 24: 1586–91.
  52. 52. Junier T, Pagni M (2000) Dotlet. Diagonal plots in a web browser. Bioinformatics 16: 178–179.