The mason wasp Odynerus spinipes shows an exceptional case of intrasexual cuticular hydrocarbon (CHC) profile dimorphism. Females of this species display one of two CHC profiles (chemotypes) that differ qualitatively and quantitatively from each other. The ratio of the two chemotypes was previously shown to be close to 1:1 at three sites in Southern Germany, which might not be representative given the Palearctic distribution of the species. To infer the frequency of the two chemotypes across the entire distributional range of the species, we analyzed with GC–MS the CHC profile of 1042 dry-mounted specimens stored in private and museum collections. We complemented our sampling by including 324 samples collected and preserved specifically for studying their CHCs. We were capable of reliably identifying the chemotypes in 91% of dry-mounted samples, some of which collected almost 200 years ago. We found both chemotypes to occur in the Far East, the presumed glacial refuge of the species, and their frequency to differ considerably between sites and geographic regions. The geographic structure in the chemotype frequencies could be the result of differential selection regimes and/or different dispersal routes during the colonization of the Western Palearctic. The presented data pave the route for disentangling these factors by providing information where to geographically sample O. spinipes for population genetic analyses. They also form the much-needed basis for future studies aiming to understand the evolutionary and geographic origin as well as the genetics of the astounding CHC profile dimorphism that O. spinipes females exhibit.
The cuticular hydrocarbon (CHC) profiles of insects are generally thought to be species-specific, thus showing qualitative and quantitative differences between species (Bagnères and Wicker-Thomas 2010). Intraspecific CHC profile differences are most often observed between sexes and between samples from different populations, but CHC profiles are also known to change with the insect's age, mating and fertility status, diet (Liang and Silverman 2000), and in case of eusocial insects with the individuals caste, task, and colony membership (Sledge et al. 2001; Cuvillier-Hot et al. 2001; Greene and Gordon 2003; Hugo et al. 2006; Jackson et al. 2007; Ichinose and Lenoir 2009; Martin and Drijfhout 2009; Nunes et al. 2009; Blomquist and Bagnères 2010; Kuo et al. 2012; Polidori et al. 2017; Korb 2018). While intersexual CHC profile dimorphism is common in insects, intrasexual CHC profile dimorphism has been found in only a few species, one of which is the spiny mason wasp, Odynerus spinipes (Linnaeus, 1758) (Strohm et al. 2008a, b; Marten et al. 2009; Martin et al. 2010; de Oliveira et al. 2011; Wurdack et al. 2015).
Odynerus spinipes females are able to display one of two CHC profiles (also referred to as chemotypes) that differ in more than 70 chemical compounds (Wurdack et al. 2015). These qualitative differences are primarily due to the presence or absence of alkenes with double bonds at specific positions (Wurdack et al. 2015). No CHC profile has been recorded so far that was interpreted as intermediate between chemotype 1 and chemotype 2. Odynerus spinipes males only display one chemotype, which is very similar to the females’ chemotype 1 (Wurdack et al. 2015).
Wurdack et al. (2015) suggested that the CHC profile dimorphism of O. spinipes females is the result of an evolutionary arms race between the spiny mason wasp and two kleptoparasitic cuckoo wasps: Pseudochrysis neglecta (Shuckard 1837) (formerly in the genus Pseudspinolia; Rosa et al. 2017) and Chrysis mediata (Linsenmaier 1951) (Hymenoptera: Chrysididae). Each of the two kleptoparasites seem to chemically mimic one of the two chemotypes. As the two cuckoo wasps are distantly related to each other (Pauli et al. 2019, 2021), they likely evolved their exploitation of O. spinipes as host independently from each other. Because Wurdack et al. (2015) found females displaying the two chemotypes to occur sympatrically and observed a balanced (roughly 1:1) frequency of the two chemotypes at all three O. spinipes nesting sites that they studied in Southern Germany, the authors hypothesized that the genetic information for expressing the two chemotypes is maintained in O. spinipes populations by balancing selection (Wurdack et al. 2015). Given the large distributional range of O. spinipes, from Spain in the West to the Pacific coast in the Far East (Gusenleitner 1998; Woydak 2006; present study), the chemotype frequencies determined by Wurdack et al. (2015) are not necessarily representative for the majority of populations of this species, though. Representative sampling of a species with a huge distributional range is often difficult to achieve. A possible solution of this problem could be the exploitation of samples deposited in museum collections.
In this study, we (1) tested if dry-mounted samples of O. spinipes that have been collected by entomologists during the last 200 years and stored in private and museum collections carry a sufficient quantity of CHCs to determine their chemotypes. To this end, we analyzed CHC extracts of 1042 dry-mounted O. spinipes samples using gas chromatography coupled with mass spectrometry (GC–MS). Since CHCs are, due to their high molecular mass, less volatile and seem to be chemically stable over time (Page et al. 1990; Martin et al. 2009), museum specimens could be a valuable resource for studying CHC profiles in a biogeographic context. We complemented the data set with 324 freeze-killed fresh samples collected and preserved specifically for studying their CHCs. We further exploited the collected data to (2) test whether the frequency of the two chemotypes of O. spinipes females was roughly 1:1 across populations of their distributional range. Since our sampling also included male specimens, we furthermore (3) tested whether O. spinipes males displayed consistently only one chemotype. The collected data finally allowed us to assess (4) if O. spinipes females with an intermediate CHC chemotype exist. The reported data form the much-needed basis for studies on the evolutionary and geographic origin as well as the genetics of the astounding qualitative CHC profile dimorphism of the spiny mason wasp.
Methods and materials
We studied 1,042 dry-mounted wasps stored in the following private or public collections: Deutsches Entomologisches Institut (Eberswalde, Germany; 74 wasps), Museum für Naturkunde (Berlin, Germany, 159 wasps), Naturhistorisches Museum (Wien, Austria; 47 wasps), private collection O. Niehuis (Freiburg, Germany; 173 wasps), Biozentrum of the Oberösterreichisches Landesmuseum (Linz, Austria; 454 wasps), private collection C. Schmid-Egger (Berlin, Germany; 27 wasps), Senckenberg Naturmuseum (Frankfurt a. M., Germany; 44 wasps), Senckenberg Museum für Naturkunde (Görlitz, Germany; 20 wasps), Staatliches Museum für Naturkunde (Stuttgart, Germany; 49 wasps), Zoological Institute of the Russian Academy of Sciences (St. Petersburg, Russia; 52 wasps), Institute of Biology and Biomedicine at the Lobachevsky State University (Nizhny Novgorod, Russia; 2 wasps), and Zoologische Staatssammlung (Munich, Germany; 97 wasps). We additionally studied 324 samples collected and directly frozen at − 20 °C by us at locations in Belgium (105 wasps), Estonia (26 wasps), Southern Germany (167 wasps), and Sweden (26 wasps). Overall, the analyzed samples had been collected between 1826 and 2017 in 22 different countries (Table 1) across most of the species' currently known distributional range (Gusenleitner 1998; Woydak 2006). More information about the samples analyzed, including sampling sites and associated geocoordinates, are provided in the Supplementary Table S1. Note that in those instances in which the label information of samples did not include the geocoordinates of the sampling site, we inferred this information using Google Maps (Google, Mountain View, CA, USA). We analyzed 1366 specimens in total (i.e., dry-mounted and fresh ones), of which 1,009 were females and 357 were males.
Cuticular hydrocarbon extraction
Females preserved in insect boxes were individually immersed in n-hexane (SupraSolv n-hexane for gas chromatography, Merck KGaA, Germany, or Rotipuran n-hexane, Carl Roth GmbH, Karlsruhe, Germany) for 2 or for 10 min, depending on the specimen (after analyzing the first batch of dry-mounted specimens, we increased the extraction time from 2 to 10 min to increase the CHC yield). All CHC extracts were subsequently reduced to 75 µL by evaporating them under a gentle constant flow of nitrogen. The CHC extracts were stored at − 20 °C before proceeding with their chemical analysis. The CHCs of all female wasps collected by us in Belgium (Tenneville) or in Germany (Büchelberg) were either extracted for 10 min with n-hexane or were sampled with a solid-phase micro extraction (SPME) fiber (Supelco, coating: polydimethylsiloxane, 100 µm, Sigma-Aldrich, Bellefonte, PA, USA). Females sampled with SPME fibers were anesthetized either by exposing them for 1 min to CO2 (females sampled in 2016) or by cooling them for 3 min down at − 20 °C (females sampled in 2017 and 2018). Conditioned SPME fibers were scrubbed for 2 min against the wasps' metasoma.
GC–MS analyses were conducted with a 7890B gas chromatograph system (Agilent Technologies, Santa Clara, CA, USA) equipped with a DB-5 column (30 m × 0.25 mm ID, df = 0.25 μm, J & W Scientific, Folsom, USA) coupled with a 5977B mass selective detector (Agilent Technologies, Santa Clara, CA, USA), using helium at a constant flow of 1 ml min−1 as a carrier gas. The CHC extracts of ten wasps collected in Tenneville (Belgium) were analyzed with a gas chromatograph-flame ionization detector (Shimadzu GC-2010 system, Shimadzu, Wemmel, Belgium) equipped with a SLB-5 ms non-polar capillary column [5% phenyl (methyl) polysiloxane stationary phase; 30 m column length; 0.25 mm inner diameter; 0.25 μm film thickness]. We applied in both instruments the following temperature program: start temperature 40 °C, increased by 10 °C per minute up to 300 °C, which was maintained for 10 min. The injection port was set at 250 °C and operated in splitless mode for 1 min. The electron ionization mass spectra were acquired at an ionization voltage of 70 eV (source temperature: 230 °C). Total intensity chromatograms and mass spectra were inferred with the software MSD Enhanced ChemStation F.01.03.2357 for Windows (Agilent Technologies, Böblingen, Germany). Individual cuticular hydrocarbons were identified based on their diagnostic ions. To control the sensitivity of the GC–MS, we injected every week and before running a batch of samples a C7–C40 saturated alkanes standard (Sigma-Aldrich, Steinheim, Germany) into the GC–MS.
The two known chemotypes of O. spinipes females (de novo identified by Wurdack et al. 2015) were identified by studying the presence/absence of diagnostic alkenes, each of which with a specific retention index. This allowed us to use the GC–MS data from a wide range of samples and independent from the extraction method: CHCs from old dry-mounted specimens extracted with hexane, CHCs from freshly collected specimens extracted with hexane, and CHCs from living specimens extracted with SPME fibers. According to Wurdack et al. (2015), chemotype 1 is characterized by alkenes with double bonds at positions 5, 7, and 9 of the hydrocarbon chain (hereinafter referred to as udp alkenes), whereas chemotype 2 is characterized by alkenes with double bonds at the positions 8, 10, 12, and 14 of the hydrocarbon chain (hereinafter referred to as edp alkenes). Note that it is easily possible to distinguish the two chemotypes by carefully studying total ion chromatograms and mass spectra, even without derivatization of the CHC extracts: alkenes of chemotype 1 appear at slightly later retention times than the corresponding alkenes of chemotype 2. The difference is particularly prominent when focusing on the most abundant alkenes on the cuticle of O. spinipes females (i.e., those with hydrocarbon chain lengths of 25, 27, and 29; Fig. 1). We nonetheless checked the double bond position of diagnostic alkenes in a subset of samples by sample derivatization applying a custom protocol derived from that given by Dunkelblum et al. 1985 and Carlson et al. 1989. Specifically, we inferred the position of double bonds on the cuticle of 146 dry-mounted O. spinipes females originating from collections and of 21 O. spinipes females freshly collected by us in the field. For this purpose, we first concentrated all CHC extract volumes to 120 µL each and then mixed each of them with dimethyl disulfide (Merck, Darmstadt, Germany) in a 1:1 ratio. We added to the resulting volume (240 µL) 85 µL of a 5% iodine solution (Merck, Darmstadt, Germany) in diethyl ether (Merck, Darmstadt, Germany). The reaction volume was thoroughly mixed by hand-shaking it and then kept for 12–24 h at 60 °C. We subsequently added as many drops of a 5% sodium thiosulfate solution (Merck, Darmstadt, Germany) in water until the solution turned transparent. Note that the solution was thoroughly shaken by hand after each added drop. Finally, we isolated the organic (upper) phase, transferred it to a new vial, concentrated it under a gentle constant flow of nitrogen, and transferred it into an insert (Agilent Technologies Inc., Santa Clara, CA, U.S.A.; 25 ml glass with polymer feet). The derivatized CHC extracts were analyzed with the 7890B gas chromatograph system and applying the same instrument settings as described above.
To determine whether or not the quality of CHC extracts from dry-mounted specimens depended on the number of years between the collection of the specimen and its CHC extraction, we performed a logistic regression with the software R version 3.4.1 (R Core Team 2020), using the function glm (Dobson 1990) of the package stats version 3.6.2.
Maps and graphics
Records of O. spinipes females in close spatial proximity to each other were grouped to increase the sample size within a group prior to calculating chemotype frequencies (detailed in the Supplementary Table S1). Specifically, females collected in Central Europe were grouped so that the number of samples under a circle area with 125 km diameter (covering a surface area of 12,272 km2) was maximized (Supplementary Fig. S1). Because regional sample sizes outside Central Europe were typically small, we chose a circle diameter of 420 km for grouping females collected outside Central Europe. The procedure resulted in a total of 53 groups, 27 of which located in Central Europe (Supplementary Table S2). To visualize the chemotype frequencies in each of the 53 groups, we plotted pie charts and mapped them onto a map of Central Europe and onto a map of the Palearctic region, with the size of the pie charts proportional to the number of female samples included in the respective group. The center of the pie charts is positioned at the location in the circle with the shortest distance to all other locations in the circle. The diameter of the pie charts is the log10 of the number of females in the group. While groups in Central Europe always contained more than two samples, group sizes in the remaining parts of the Palearctic contained in some instances only one sample. To nonetheless be able to visualize these records on the Palearctic map, we added the value 0.5 to all log10 values. The pie chart diameter of groups composed only of one sample was consequently 0.5 and not zero. Note that we divided the log10 values by 4 when plotting pie charts onto the map of Central Europe to reduce the pie charts' diameter. All maps were drawn with the software R version 3.4.1 (R Core Team 2020), using the package "maps" version 3.3.0. Pie charts were plotted onto the maps with the aid of the R package "mapplots" version 1.5.1 (Gerritsen 2013).
Since we found the CHC profiles of many dry-mounted O. spinipes females to display a CHC profile similar to, but differing from that of chemotype 2 described by Wurdack et al. (2015), we conduced morphometric analyses on female samples to assess the possibility that our sampling included a cryptic species. For this purpose, we studied 223 dry-mounted O. spinipes females from five different localities, including those at which females with deviant CHC profiles were recorded. Specifically, we analyzed (A) 28 females from the vicinity of Frankfurt a. M. (Germany; 7 displaying chemotype 1, 21 displaying the deviant chemotype 2), (B) 32 females from the vicinity of Leipzig (Germany; 9 displaying chemotype 1, 23 displaying the deviant chemotype 2), (C) 99 females collected in South Bohemia (Czech Republic; 64 displaying chemotype 1, 7 displaying chemotype 2, 28 displaying the deviant chemotype 2), (D) 50 females from the vicinity of Syrovice (Czech Republic; 2 displaying chemotype 1, 48 displaying the deviant chemotype 2), and (E) 14 females collected in the Far East (Russia; all displaying the deviant chemotype 2). We followed the protocol for morphometric analysis given by Wurdack et al. (2015) with slight modifications; specifically, we selected and considered in the final analysis 15 morphological characters from the 16 studied characters based on a reliability test of the characters (see below; Supplementary Table S3, Supplementary Fig. S2). We followed the terminology for naming morphological structures given by Gibson (1997). A list of all quantified morphometric characters is given in Supplementary Table S4.
Each character was photographed with a Keyence VHX 2000 digital photo‐microscope and a VH‐Z20R/W zoom lens (Keyence, Japan, USA) at different magnifications (30x, 100x, 200x) depending on the photographed character. To ensure that the magnification did not change between photographs showing the same character in different samples, we conducted all measurements requiring the same magnification in one session without altering the magnification in-between and used an eye‐piece micrometer (12 mm subdivided into 120 units; 1000 µm corresponded to 888 pixels) to calibrate photographs. To remove additional variation possibly caused by fluctuating asymmetry (Palmer and Strobeck 1986; Bechshøft et al. 2008), we measured characters on the left-hand side, when it was possible. Additionally, we processed the samples in random order to avoid the possibility of systematic errors. All measurements were taken using the software ImageJ version 1.52a (Schneider et al. 2012) on size-calibrated photographs.
Our morphometric analysis consisted of multiple analysis steps. First, we performed a reliability analysis. For this purpose, we aligned and photographed 16 characters in a total of 17 females twice and then calculated measure reliability (which is 1-measurement error, see László et al. 2013) (detailed in Supplementary Table S3). All characters with reliability below 85% were discarded (one in total). Measurement values of the retained 15 characters in all 223 females samples were studied in a multivariate ratio analysis (MRA) as outlined by Baur and Leuenberger (2011, 2020). We computed an isometric size axis (isosize) and then performed a shape PCA in order to determine whether or not a morphometric pattern corresponds to groups. We also checked measurements for exhibiting allometry by plotting isosize against shape PCs. All statistical analyses were conducted with the software R version 3.3.3 (R Core Team 2020) and using custom R scripts provided by Baur and Leuenberger (2020). Missing values were replaced by using the function "mice", which applies chained equations, of the R package "mice" and using the function's default options (van Buuren and Groothuis-Oudshoorn 2011). More details on the microscopic photographs, the obtained measurements, and the applied workflow used for imaging and measuring are given in the Supplementary Tables S4 and S5.
Cuticular hydrocarbons of dry-mounted and of fresh samples
In 947 of the 1,042 studied dry-mounted wasps (91%) was the amount of extracted CHCs sufficient to identify the wasp's chemotype (Table 2). Note that our sampling included also 357 males, which consistently showed only one chemotype (similar to the females' chemotype 1). The CHC extracts of 42 dry-mounted males and 53 dry-mounted females proofed to be insufficient for characterizing their CHC profile (Table 2). Some of the wasps whose chemotype we were able to determine had been collected almost 200 years ago (the oldest were collected in 1826) (Fig. 2), indicating that even old dry-mounted samples can represent a valuable resource in the field of chemical ecology. We found a statistically significant correlation between the age of the dry-mounted samples and our ability to determine their chemotype (logistic regression, p value = 6.14e−06, Supplementary Fig. S3). However, not all recently collected dry-mounted samples contained a sufficient amount of CHCs to characterize their CHC profile and to determine their chemotype (Fig. 2), suggesting that additional factors impact CHC preservation. In contrast, most of the CHC samples collected or probed specifically for CHC analysis (311 out of 324 in total, 13 of which were of insufficient quality, probably because the cold chain was interrupted during sample shipment; these samples were hence discarded by us; Table 2) were suitable to identify the wasps' chemotype.
We observed a clear separation between the two chemotypes based on the presence and absence of diagnostic alkenes (Fig. 1) in freshly sampled females (CHCs extracted from freeze-killed samples with hexane or with SPME fibers), but not in dry-mounted females. Although we observed exclusively udp alkenes characteristic of chemotype 1 in 379 dry-mounted females, we observed a mixed chemotype (with edp and udp alkenes) in most remaining dry-mounted females. In order to characterize this deviant chemotype, we applied a derivatization protocol to CHC extracts from a subset of 167 females (Supplementary Table S6). By doing so, we were able to extrapolate the derivatization results to all samples and identify their chemotype (chemotype 1, chemotype 2, or deviant chemotype 2). We found the deviant chemotype 2 in 246 dry-mounted females, but in none of the freshly sampled females (Table 2). In contrast, we found chemotype 2 in 172 freshly sampled females, but only in seven recently collected dry-mounted females (Fig. 2; three collected in 2012 and four in 2017, respectively, by M. Halada and by Z. Haladova).
The derivatization results revealed that the deviant chemotype 2 is characterized by a mix of edp and udp alkenes at hydrocarbon chain length 25 and, less frequently, at lengths 23 and 27, depending on the sample. Interestingly, however, we did not find udp alkenes at hydrocarbon chain length 29 (Supplementary Fig. S4, Supplementary Table S6).
Since none of the freshly collected females displayed the deviant chemotype even in those sampled at locations spatially close to locations from which we had dry-mounded samples with a deviant chemotype 2 profile, it is likely that the deviant chemotype 2 represents an artifact. We hypothesized that it might be the result of long-term storage in museum boxes. Indeed, the few dry-mounted females displaying chemotype 2 had all been collected recently (Fig. 2). Based on this hypothesis, we considered females with a deviant chemotype 2 profile as chemotype 2 for the analysis of spatial differences in chemotype frequencies.
Spatial differences in chemotype frequencies
We found females of both chemotypes in the Western Palearctic and in the Eastern Palearctic, the presumed glacial refuge of O. spinipes, which shows the typical distribution of a Euro-Siberian faunal element as defined by de Lattin (1967). However, we discovered significant geographic structure in the frequency of the two chemotypes, with one chemotype being more frequent in some regions than the other (Fig. 3). For example, we recorded only females of chemotype 1 in western France, the UK, Italy, and the southern parts of Switzerland. In Central Europe, we found a conspicuous North–South gradient in the two chemotype frequencies, with females displaying chemotype 2 being more frequent in the North than females displaying chemotype 1 and vice versa (shift at a latitude of ~ 49° N). In the South-West of Austria, almost all females sampled show chemotype 1, while in eastern Austria both chemotypes occur at about the same frequency. In the Czech Republic, we found most females displaying chemotype 2, except in regions spatially close to Austria and Poland. Here, females displaying chemotype 1 were more frequent. Interestingly, although the majority of females from northern Central Europe expressed chemotype 2, this chemotype is almost absent at least in parts of Northern Europe (Estonia and Sweden). We found exclusively females displaying chemotype 1 in Kazakhstan, Mongolia, and parts of Russia (Siberia and Ural). While females of chemotype 2 seem to be absent (or at least rare) in Central Russia, we found most females displaying chemotype 2 at Russia's Pacific coast, as well as in Eastern Turkey and in Romania. The two females in our dataset collected in Bulgaria also displayed chemotype 2 (Fig. 3).
The conducted reliability tests indicated that only 15 of the 16 evaluated characters were measured with consistent accuracy (Supplementary Table S6). Multivariate ratio analysis (MRA) of the 15 characters in 82 females of chemotype 1 and 141 females of chemotype 2 revealed no statistically significant differences between females displaying chemotype 1 and females displaying chemotype 2 (including those with deviant CHC profile) in the four selected populations, neither in size nor in shape axes: Supplementary Fig. S5 shows that groups are largely overlapping. However, we observed that O. spinipes females from the Far East of Russia (locality E) are on average slightly larger than females collected in Europe (localities A–D).
Temporal chemical stability of cuticular hydrocarbons
The results of our study highlight the potential value of dry-mounted insects stored in private and public collections for chemoecological studies. Our data demonstrate the long-term chemical stability of CHCs. Long-term stability of CHCs had previously been reported by Page et al. (1990) and by Martin et al. (2009) who analyzed samples that were up to 70 and 20 years old, respectively. Since CHCs are typically species-specific in insects (e.g., Soon et al. 2021), their analysis on museum specimens opens the door for inferring the identity of samples (including type material) that otherwise could perhaps only be identified using DNA barcoding or not at all. The use of CHCs for identifying cryptic species has been shown in numerous studies (Haverty et al. 1990; Page et al. 1997; Akino et al. 2002; Lucas et al. 2002; Schlick-Steiner et al. 2006; Martin et al. 2008; Guillem et al. 2012; Vaníčková et al. 2014; Soon et al. 2021). And while the ability to study CHCs in dry-mounted insects has been demonstrated in earlier studies (Bartelt et al. 1986; Jallon and David 1987; Grunshawn et al. 1990; Page et al. 1990; Chapman et al. 1995; Everaerts et al. 1997; Clément et al. 2001; Dapporto et al. 2004; Symonds and Elgar 2004; Uva et al. 2004; Dapporto 2007; Hay-Roe et al. 2007; Martin et al. 2008, 2009), these studies relied on samples that had been comparatively recently collected (except that published by Page et al. 1990).
The analysis of CHC extracts of dry-mounted specimens has limitations. First, CHC extracts from such samples have a high chance of being contaminated. While most of the contaminations will likely be volatile non-CHCs, it is imaginable that CHCs from other samples stored in the same box get transferred over the course of time on the cuticle of samples of interest. Unless fresh material is unavailable, dry-mounted samples should therefore be avoided for de novo characterizing the CHC profile of a species. If such samples are nonetheless used, the obtained chromatograms should be interpreted with great caution. A second limitation of dry-mounted samples for chemical analyses is the low abundance at which the CHCs are obtained. Since we found in initial tests the trend for longer extraction duration time to increase the yield of CHCs, we recommend future studies on the CHCs of dry-mounted to extract CHCs for at least for 10 min. One likely reason for the low amount of CHCs on dry-mounted samples is evaporation of the insect's CHCs over time, or that the hydrophobic compounds diffuse into the now dried interior of the specimen (Martin et al. 2009). The fact that we successfully extracted CHCs also from wasps collected a long time ago (> 100 years) suggests that the effect of evaporation is likely small, or at least to some extent predictable. A potentially more severe factor than the storage time of the specimen is the kind of chemical used to kill and/or preserve the insects, as some of these chemicals are powerful organic solvents (e.g., carbon tetrachloride, ethanol, diethyl ether, ethyl acetate; Gibb and Oseto 2019). If the insects were killed by being immerged in organic solvent, their CHCs are likely removed very efficiently from the cuticle, since most hydrocarbons are soluble in organic solvents (Krogmann and Holstein 2010; Tewari and Vishnoi 2017). Even if not submerged in solvent, collecting several specimens in the same vial containing an organic solvent as killing agent could potentially lead to mixing of CHCs between specimens. We attribute the chemicals used to kill the insects studied by us as the most likely cause of why we were in some instances unable to extract notable quantities of CHCs regardless of how long ago a sample had been collected.
The most severe problem encountered when studying CHC extracts from old dry-mounted specimens is that the CHC profile of samples can be slightly altered over time. Specifically, we found the CHC profiles of various O. spinipes females to contain a mix of udp and edp alkenes (same chain length; 23, 25, 27). In contrast, the CHC profiles of freeze-killed specimens consistently contained either udp alkenes or edp alkenes. In some females of chemotype 2, we found traces of udp alkenes, but these alkenes were never as abundant as edp alkenes of the same chain length (see also results presented by Wurdack et al. 2015). We exclude the possibility that samples with a deviant CHC profile represent a cryptic species based on the results from the morphometric analyses. We also consider it extremely unlikely that this deviant CHC chemotype 2 represents a third (or intermediate) chemotype, because we found it exclusively in CHC extracts originating from dry-mounded samples, some of which collected at locations close to sites where we collected wasps without ever encountering such a deviant profile. We also deem it unlikely that the deviant chemotype got extinct and that its extinction would explain why we did not find it in freshly collected samples. It appears more plausible to us that the CHC profile of a significant portion of the dry-mounted wasps had changed and that the deviant chemotype 2 is thus an artifact. The specific mechanism(s) that cause(s) this CHC profile change remain(s) unclear, however. It is known that the volatility of alkenes is generally higher than that of alkanes (including methyl-branched ones) and that the volatility of alkenes differs from each other depending on the molecule's length and the position of the double bond (Gibbs and Pomonis 1995; Tewari and Vishnoi 2017). A difference in volatility between alkanes and alkenes could explain why we always observed alkanes in the studied dry-mounted specimens. Additionally, it is known that alkene double bonds can alter their position by rearrangement reactions and that such reactions can be triggered by light (Tewari and Vishnoi 2017), which might have happened in insect boxes where the dry-mounted samples were stored. Finally, it is also possible that the udp alkenes found in the deviant chemotype 2 came from sources inside the dry-mounted samples. Because of their dryness, it is possible that hexane extracts hydrocarbons also inside the specimens and not only on the cuticle of the specimens as it does when processing freeze-killed fresh samples. Incidentally, Martin et al. (2009) also reported a reduction in the quantity of an alkene (c31ene) in CHC extracts from hornets collected 20 years ago compared to CHC extracts from freshly collected hornets (Vespa spp.).
Amount and spatial distribution of different CHC chemotypes
Based on samples from three field sites in Southern Germany, Wurdack et al. (2015) reported O. spinipes females to be able to express two different chemotypes and conspecific males to only express one chemotype. The results of our study are fully consistent with these observations, but our conclusions are based on a significantly larger sample size and covers samples collected from a significantly larger fraction of the species' distributional range. However, in contrast to the observations made by Wurdack et al. (2015), we found the frequency of the two chemotypes to geographically vary considerably and to be rarely balanced. Most notably, we found females of both chemotypes to also occur in the Eastern Palearctic at the Pacific coast—the presumed glacial refuge of this Euro-Siberian faunal element.
The chemotype frequency differences in some parts of the distributional range of O. spinipes are remarkable, and multiple mechanisms are imaginable that could have given rise to them. Yet, because species population structures are the result of both present and historical processes (Hewitt 1999), it is difficult to disentangle what factors shaped the chemotype frequency differences in different populations and geographic regions in the absence of additional data (e.g., population genetic information). Chemotype frequency differences could be the results of genetic drift (e.g., during range expansion from a single glacial refuge in the Eastern Palearctic), could reflect different routes and times of the colonization of the Western Palearctic, or could be the result of historical differences in the selection pressure for a given chemotype. For example, while we found females displaying chemotype 1 over the whole distributional range of the species, chemotype 1 is the only one found by us expressed by females collected in the UK and western France. It is thus possible that due to genetic drift, the genetic information for expressing chemotype 2 got lost during the colonization of the UK and western France (e.g., due to a founder effect). It is also imaginable that the two chemotypes had different glacial refuges in the Eastern Palearctic and that females expressing chemotype 1 took another dispersal route and cognized Europe earlier than females expressing chemotype 2. The hypotheses presented here could be assessed with the aid of population genetic analyses.
The idea of different selection pressures having shaped the observed chemotype frequency differences is particularly intriguing, given that the two chemotypes are chemically mimicked by two cuckoo wasp species, each consistently displaying only one chemotype (i.e., Chrysis mediata and Pseudochrysis neglecta) (Wurdack et al. 2015), which occur across most (if not all) of O. spinipes' distributional range (Kimsey and Bohart 1991; Yıldırım and Strumia 2006; Kurzenko and Lelej 2007; Rosa et al. 2014; Belokobylskij and Lelej 2017; Rosa 2019). Population genetic studies on O. spinipes and its kleptoparasitic cuckoo wasps could help disentangling the above factors for having shaped geographic chemotype frequency differences. The presented data provide important information where to geographically preferentially sample O. spinipes for such population genetic analyses. They also set the base for investigations that aim at understanding the genetics of the astounding qualitative CHC profile dimorphism that O. spinipes females exhibit.
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We are indebted to Fritz Gusenleitner, Rolf Franke, Lukas Kirschey, Lars Krogmann, Andrew Liston, Mikhail Mokrousov, Michael Ohl, Patricia Peters, Karl-Heinz Schmalz, Christian Schmid-Egger, Stefan Schmidt, Martin Schwarz, and Dominique Zimmermann for providing us samples and granting permission to chemically analyze them. We acknowledge Paolo Rosa and Manuela Sann for bringing us in contact with some entomologists and Jean-Yves Baugnée for providing information where to collect O. spinipes in Belgium. We are thankful to Rainer Blum for help with georeferencing samples, and to Wolf Haberer for help using the GC-MS. We also thank Nicolas Brasero and Baptiste Martinet for providing their GC to run SPME fibers in Belgium (UMONS). ON and VM acknowledge the Struktur- und Genehmigungsbehörde Süd and the Struktur- und Genehmigungsdirektion Nord (both Rhineland Palatinate) for granting permission to collect samples. Part of the present study were funded by the German Research Foundation (DFG NI1387/2-1, SCHM 2645/6-1). This work was in part supported by the Russian Foundation for Basic Research (project No. 19–04–00027) and Russian State Research Project No. AAAA–A19–119020690101–6 for SAB.
Open Access funding enabled and organized by Projekt DEAL.
Communicated by Günther Raspotnig.
Below is the link to the electronic supplementary material.
Table S1. O. spinipes samples analyzed (indicated by sample ID), chemotype of each sample (in column chemotype_3 the deviant chemotype 2 is indicated by the number 3, the CHC profile of males by “m”), and its sex, and the results of the DMDS (derivatization analysis), the geocoordinates, locality and altitude where they sample was collected, who collected the sample (Leg.), the group to which it belongs (locality group), if the sample was preserved in 100 % Ethanol (EtOH), if its CHC were extracted in pentane or hexane, the status of the sample (freshly collected or from museums) and the ownership of the sample. The column ME indicates if the sample was used for morphometric analyses. (XLSX 184 kb)
Table S2. Number of females of each chemotypes per locality group (group), the coordinates (latitude and longitude) used to plot the pie chart on the map, and the diameter of each pie chart calculated depending on the number of samples per locality group. (XLSX 15 kb)
Table S3. Measure of the different morphological characters in the 17 analyzed samples to perform the reliability test (the abbreviation of each character measured is explained in Table 1). (XLSX 16 kb)
Table S4. Abbreviations, names, definitions, and magnifications used to morphometrically study 16 characters of Odynerus spinipes females, and those used in the multivariate ratio analysis (MRA). (PDF 20 kb)
Table S5. Measure of the different morphological characters in the different analyzed samples (the abbreviation of each character measured is explained in Table S4). (XLSX 55 kb)
Table S6. Results of the derivatization analyses, indicating the position of the double bonds in the alkenes of different chain-lengths. (XLSX 18 kb)
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Moris, V.C., Christmann, K., Wirtgen, A. et al. Cuticular hydrocarbons on old museum specimens of the spiny mason wasp, Odynerus spinipes (Hymenoptera: Vespidae: Eumeninae), shed light on the distribution and on regional frequencies of distinct chemotypes. Chemoecology 31, 311–322 (2021). https://doi.org/10.1007/s00049-021-00350-8
- Cuticular hydrocarbons
- Dry-mounted samples