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Do Flower Color and Floral Scent of Silene Species affect Host Preference of Hadena bicruris, a Seed-Eating Pollinator, under Field Conditions?

  • Paul Page,

    Current address: Swiss Bee Research Center, Agroscope Research Station, Bern, Switzerland

    Affiliation ETH Zurich, Institute of Integrative Biology (IBZ), Zurich, Switzerland

  • Adrien Favre,

    Affiliations ETH Zurich, Institute of Integrative Biology (IBZ), Zurich, Switzerland, Department of Molecular Evolution and Systematics of Plants, Institute of Biology, University of Leipzig, Leipzig, Germany

  • Florian P. Schiestl,

    Affiliations ETH Zurich, Institute of Integrative Biology (IBZ), Zurich, Switzerland, Institute of Systematic Botany, University of Zurich, Zurich, Switzerland

  • Sophie Karrenberg

    sophie.karrenberg@ebc.uu.se

    Affiliations ETH Zurich, Institute of Integrative Biology (IBZ), Zurich, Switzerland, Department of Ecology and Genetics, Uppsala University, Uppsala, Sweden

Abstract

Specialization in plant–insect interactions is an important driver of evolutionary divergence; yet, plant traits mediating such interactions are poorly understood. In this study, we investigated how flower color and floral scent are related to seed predation by a seed-eating pollinator. We used field-transplanted recombinant F2 hybrids between Silene latifolia and S. dioica that are the preferred and alternative hosts of the moth Hadena bicruris and crosses within these species for comparison. We scored seed predation and flower color and analyzed floral scent. Pinker S. dioica-like flowers and emission of α-pinene decreased the odds of seed predation while emission of benzyl acetate and 6-methyl-5-hepten-2-one increased the odds of seed predation. Emission of these compounds did not differ significantly between the two Silene species. Our results suggest that flower color plays an important role in the specific interaction of H. bicruris with its preferred host S. latifolia. The compounds α-pinene, benzyl acetate and 6-methyl-5-hepten-2-one could represent non-specific deterrents and attractants to ovipositing moths. Alternatively, emission of these compounds could be related to herbivory or pathogen attack and act as a signal for host quality. This would weaken the predictability of the plant's costs and benefits of the interaction and act to maintain an imperfect degree of specialization.

Introduction

Specialization in plant–insect interactions, for example in plant-pollinator interactions, is an important mechanism driving diversification in both plants and insects [1][3]. Some insect species are both pollinators and seed predators or herbivores; they lay eggs on plants they pollinate and their larvae consume seeds or vegetative tissues [4]. Associations between plants and such pollinating seed predators (nursery pollinators) or herbivores range from obligate mutualisms, for example in yuccas and yucca moths, where reproduction of both partners depends on the interaction, to parasitism, where the insect damages the plant while providing little pollination service [4], [5]. In non-obligate associations, unresolved evolutionary conflicts are expected: plants gain from attracting insects for pollination but suffer from seed predation or herbivory [5]. The plants' costs and benefits of interacting with nursery pollinators may further depend on the presence of co-pollinators and other herbivores [5][8].

The evolution of specific attractants and deterrents is important for the degree of specialization in interactions between plants and pollinating seed predators or herbivores. Hawk moths (Manduca species), for example, are pollinating herbivores of Sacred Datura (Datura wrightii) and of wild tobacco (Nicotiana attenuata). In these systems, both male and female moths are attracted by flower color and scent while oviposition choices by female moths were based on nectar volume or on volatile compounds specifically perceived by female moths [9][12]. Interestingly, pollination benefits for Nicotiana attenuata were maximized by the presence of both attractants and deterrents for moths as this increased the number of different plants visited [11]. Such a combination of attractants and deterrents could be common [13], and may also be expected where pollinators damage plants through their larvae. More investigations on floral traits are needed to understand their role in the interactions of plants with pollinating seed predators/herbivores, especially under field conditions.

It is difficult to isolate the effect of individual floral traits on insect behavior using naturally occurring variation. Laboratory experiments, on the other hand, may allow only limited inference on natural populations because environmental conditions, as well as herbivores or pests, can strongly influence floral traits, particularly scent [14][17]. In addition, learning can be an important determinant of insect behavior in the field [18]. Approaches that allow floral trait manipulation under field conditions include the use of artificial flowers [9], [19], scent addition [20] or genetic technologies such as blocking the expression of biosynthetic pathways using RNA interference [11]. An increasingly used approach for studies comparing inter-fertile populations or species, is the generation of recombinant experimental hybrids [21], for example second-generation hybrids (F2, i.e. crosses among first-generation hybrids). F2 hybrids carry recombined parental genomes and exhibit highly variable traits, as well as trait combinations that are not present in the parental lineages. For this reason, such hybrids can be used to break up species-specific trait combinations and investigate the effect of uncorrelated floral traits on insect behavior as has been done for example in Petunia, Hemerocallis and Silene [22][24]. In this study, we used field-transplanted F2 hybrids of two campion species (Silene) to investigate the effect of flower color and floral scent on seed predation by the pollinating seed predator Hadena bicruris.

We studied Silene latifolia Poiret with white flowers and its sister species Silene dioica (L.) Clairv. with pink flowers. The two Silene species are visited by generalist pollinators such as bumblebees and hybridize naturally; both are dioecious perennials native to and widespread in Europe [25][28]. Silene latifolia also forms a strong but non-obligate association with the night active moth Hadena bicruris Hufn. (Noctuidae, Lepidoptera), a pollinating seed predator [4]. Flowers of both S. dioica and S. latifolia are open and scented at night when H. bicruris is active ([20] personal observation AF, PP). While S. dioica flowers open first during the day and remain open, S. latifolia flowers open first during the evening, can close during the first days in hot and dry conditions and remain open thereafter if left un-pollinated ([29], personal observation AF, PP, SK). Hadena bicruris females mostly lay a single egg on the ovaries of Silene flowers and larvae hatch after 3–4 days [30][32]. Larvae of H. bicruris fully develop and survive on fruits of both S. dioica and S. latifolia, but larvae reared on S. latifolia fruits gained significantly more weight than those reared on S. dioica fruits suggesting that H. bicruris has specialized in digesting S. latifolia tissues [33]. The moth occurs in nearly all populations of S. latifolia throughout its native range and is active precisely during its flowering period [33][35]. Indeed, in mixed populations of S. latifolia and S. dioica, the lowest seed predation rates were observed in the earliest flowering S. dioica and in the latest flowering S. latifolia suggesting that synchronized flowering and activity times play an important role for the specificity of the S. latifolia - H. bicruris interaction [33], [36].

In contrast to other seed-eating pollinators, both males and females of H. bicruris are efficient pollinators of S. latifolia during nectar feeding on both male and female S. latifolia and show similar visitation patterns [4], [37], [38]. Nocturnal flower visitation including visits of H. bicruris to S. latifolia caused only little inter-specific pollen transfer between S. latifolia and S. dioica as compared to diurnal pollination [25], [39]. However, seed eating larvae of H. bicruris inflict substantial damage to S. latifolia [30], [34], [36], [40], [41]; in a study in the Netherlands, for example, on average 80% of the individuals and 50% of the seed capsules were infested [35]. Selective abortion of infested fruits as a mechanism for reducing the damage by H. bicruris was suggested by Burkhardt et al. [30], however, the extent to which fruit abortion or other putative mechanisms reduce damage by H. bicruris to S. latifolia appears to vary widely between populations and experiments [35], [36], [40], [42].

Hadena bicruris shows a strong preference for S. latifolia when presented with a choice between this species, other white-flowering species or pink-flowering S. dioica [31][33]. Hadena bicruris females also clearly discriminate against S. latifolia flowers that provide reduced resources for their offspring such as male flowers, flowers that already have H. bicruris eggs or those infested with anther smut [31], [32], [37], [40], [43]. Laboratory and greenhouse experiments suggest that floral scents, in particular lilac aldehydes and phenylacetaldehyde, are important attractors for H. bicruris [20], . Furthermore, population size and flower number were shown to influence oviposition and seed predation of S. latifolia by H. bicruris, however, these effects varied strongly between years, sites and populations [35]. These studies suggest that floral traits play a decisive role for the evolution and specificity of the S. latifoliaH. bicruris interaction.

The aim of this study was to investigate the roles of flower color and floral scents for the interaction of H. bicruris with its preferred host S. latifolia. We used field-transplanted Silene dioica x S. latifolia F2 hybrids that expressed a wide range of recombinant phenotypes, as well as crosses within each species. We recorded primary seed predation by H. bicruris to identify floral traits leading to moth attack. Our study questions were: (1) Do flower color or floral scent influence primary seed predation? (2) Are traits that increase seed predation specific to the preferred host of H. bicruris, S. latifolia, or are they shared by the two Silene species? We were able to show that both flower color and floral scent affect seed predation in our study system. Our data suggest that flower color is related to host preference, while the scent compounds associated with seed predation could represent unspecific signals.

Materials and Methods

Plant material and transplant site

Crosses were derived from 18 plants of each species, originating from three natural populations of each species in the Swiss Alps (Table S1, compare [26], [49], [50]). For this study, we collected data from field-transplanted female plants of second-generation hybrids (F2) between S. dioica and S. latifolia and from second-generation intra-specific crosses between populations of S. dioica and between populations of S. latifolia (Table S2). In order to obtain a large, highly variable hybrid population we initially transplanted 20 individuals of each of 36 F2 families (see below). For comparison, five individuals of each of 18 families of crosses within S. dioica and within S. latifolia were transplanted (compare Table S2).

The transplant site was located at the edge of a typical natural S. latifolia population [26] near Leuk (Valais, Switzerland 46°19′17″N-7°38′46″E, 978 m a.s.l.) as part of an experiment on ecological selection in S. latifolia, S. dioica and their hybrids and plants were arranged in a field of approximately 7 by 12 m in a randomized block design [49]. The experimental area was part of a field that we rented from its private owner, Armin Bayard. Our study did not involve sampling of or damage to protected species.

The neighboring natural population of S. latifolia was large (>500 individuals within 100 m of the experimental plot), co-flowering with our experimental plants and known to be infested by H. bicruris (personal observation AF) providing an ideal situation to investigate interactions of naturally occurring H. bicruris with experimental plants.

Flowering phenology, flower number, flower color, and primary seed predation

Overall, about two thirds of the experimental plants of S. dioica, S. latifolia and F2 hybrids survived the winter after transplantation and flowered in the following year (2008) where this study was conducted; 48% of the individuals were females (for a detailed account see Table S3). We considered only female plants in this study comprising 31 S. dioica (14 families), 33 S. latifolia (14 families), and 185 F2 hybrids (36 families, compare Table S3). We visited the site every 6 to 11 days during the reproductive phase of the experimental plants (in total 13 times, compare Fig. 1) to score whether or not individuals flowered (at each visit), total flower number (at the end of flowering for each plant), flower color (see below) and seed predation by H. bicruris (see below). Each plant was thus checked at all visits. Two S. dioica individuals, three S. latifolia individuals and six F2 individuals could not be scored for seed predation due to herbivory by other animals. We missed flower color for 12 S. dioica, five S. latifolia and 34 F2 individuals because no open flowers were available on the day of scoring (for detailed accounts of survival, flowering and families used for the different measurements see Table S3).

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Figure 1. Flowering phenology and seed predation risk.

(a) Flowering phenology as the total number of female plants in flower in field-transplanted crosses within Silene dioica, within S. latifolia and in second-generation (F2) hybrids between these species; data are presented for the entire experimental field and for a subset of plants used for scent analyses, i.e. those that had newly opening flowers on scent sampling days. (b) Seed predation risk over time, expressed as the incidence of seed predation by the moth Hadena bicruris in a subset of F2 individuals that flowered only for one week such that host choice must have occurred during that week. Days of data collection on flowers are indicated as upward-facing tick marks.

https://doi.org/10.1371/journal.pone.0098755.g001

Flower color was scored by visually comparing newly opened flowers during the first week of flowering to a color chart ranging from white (saturation 0%) to pink (saturation 100%) in 5% steps using a pink color with a hue of 297° and a brightness of 100% (HSB color system, see www.colorizer.org).

Primary seed predation by H. bicruris larvae (i.e. seed predation resulting from oviposition and not from late instar larvae moving to a new plant) was assessed per plant by searching for characteristic entry holes and frass on developing capsules as well as by dissecting mature capsules [35], [36], [41]. Fruit maturation takes three to four weeks and primary seed predation was assessed at three to six visits for each plant, depending on the length of an individuals fruiting phase. Fruit abortion occurred only in three F2 individuals, and in two of these cases, signs of primary seed predation had previously been detected. All three individuals were included in the analysis.

Scent collection

As scent emission in S. latifolia is quickly altered after pollination [51], we measured floral scent only on individuals that presented virgin flowers opening for the first night thereby excluding that pollination or egg laying of H. bicruris occurred before scent sampling. On ten days between May 12th and July 22nd 2008, we sampled scent for a total of six S. dioica, eight S. latifolia and 97 F2 hybrids (compare Table S3). The reduction in sample size for floral scent as compared to flowering, flower color and seed predation measures was caused by the availability of flowers that were just about to open on our ten scent sampling days and did not involve selecting study plants for any other reason. Note that, in comparison to other studies from lowland locations, most of our study individuals growing at 978 m a. s. l. were small and had few flowers (see results), thus, each individual presented only a few opportunities for scent sampling of newly opening flowers. We used the headspace sorption method to collect volatile organic compounds from flowers for one hour during peak scent emission time shortly after dusk (21:30–0:30). Hadena bicruris visitation or oviposition before scent sampling was excluded by enclosing flowers (1–3 flowers per plant) in an oven-baking bag (PET, Toppits, Germany) already during the early evening. A solid-phase thermal desorption filter (Tenax TA trap) was fitted into the oven bags and air was drawn through oven bags and filters with a vacuum pump (PAS-500 Micro Air Sampler, Spectrex) at a rate of ca.150 ml/min. Filters were sealed and transported at 4°C.

GC-MS analyses

Filters were stored at −20°C and analyzed within three days after collection. We used a Thermal Desorption System (TDS3, Gerstel GmbH & Co. KG, Mülheim an der Ruhr, Germany) connected to a gas chromatography-mass spectrometry instrument (GC 6890, Agilent Technologies, Palo Alto, USA; MS detector 5975 A, Hewlett Packard, Atlanta, USA) fitted with an HP5 column (5%-Phenyl-methylpolysiloxane, 30 mx0.32 mm ∅x0.25 µm film thickness, Alltech, Deerfield, USA). Helium served as carrier gas. Sampled compounds were desorbed at 240°C from the Tenax TA trap with helium (99.96%) for five minutes (split-less desorption flow 8 ml min−1) and transferred to a cool injection system (CIS, Gerstel, at −150°C), subsequently heated at a rate of 12 C s−1 to 250°C with a desorption time of three minutes. Compounds were transferred via a fused silica transfer line (heated to 300°C) to the GC-MS for separation and ionization of compounds. The GC oven temperature was held at 50°C initially, increased to 250°C at a rate of 8°C min−1 and held at that temperature for 5 min. For all analyses, the desorption flow and column flow were kept at 8 ml−1 and 1.9 ml−1, respectively.

Authentic external standards of previously described floral scent compounds in S. latifolia [46] were analyzed individually by direct injection in three different amounts (1, 10, 100 ng) in the GC-MS with all parameters set as described above, to obtain calibration curves for all compounds. We obtained standard compounds from Sigma-Aldrich/Fluka (Buchs, Switzerland) with the exception of lilac aldehyde that was supplied by Stefan Dötterl (University of Bayreuth, Germany).

Chromatograms were generated with the ChemStation program (Agilent Technologies, Palo Alto, USA; 2007) and sampled compounds were identified by comparing MS spectra and retention times with those of authentic standard compounds. Absolute amounts of total floral scent and of individual compounds were calculated using peak areas of samples and calibration curves obtained for each of the analyzed compounds. Amounts of compounds were expressed as ng h−1 per flower. We chose to use these absolute values of scent emission for formal analysis because relative scent emission is difficult to compare between studies as scent compounds reported differ between studies. For comparison, we calculated relative contribution of each compound class to the total scent.

Data Analysis

We first assessed the number of flowering plants as well as the incidence of primary seed predation by Hadena bicruris over the course of the experiment. To assess seed predation risk over time, we calculated the proportion of predated individuals for a subset of experimental plants that flowered for one week, because for these plants we know that host choice must have occurred in that week. Note that this subset of plants is not identical with the subset used for scent measurements that was determined by the availability of newly opening flowers at scent sampling days. As a second step, we compared the incidence of primary seed predation between the two species and the F2 individuals using a logistic regression analysis on all plants followed by pairwise proportions test with correction for multiple comparisons (see below and [52]). We describe total flower number and the length of the flowering period for comparison but did not include these data in our formal analyses (see below). This is because we did not investigate oviposition directly and do not know how many flowers were open at the time of oviposition.

We conducted two tests on flower color and floral scent measurements: (1) We tested whether previously described differences in flower color and floral scent compounds between S. dioica and S. latifolia [20], [25], were present in our field setting using exact Wilcoxon tests [53]. (2) We analyzed whether flower color and the emission of floral scent compounds likely are under additive genetic control. To do so, we used one-sample exact Wilcoxon tests [53] to test whether median trait values of the F2 individuals differed from the mid-parental value, estimated as the midpoint between the trait values of S. dioica and S. latifolia [54]. Corrections for multiple testing were applied across variables (see below).

Within the F2 plants, we further assessed whether values for flower color and floral scent compounds covered all or most of the combined range of values for S. dioica and S. latifolia as expected [54]. In addition, we tested for pair-wise correlations among flower color and floral scent compounds using Spearman rank correlations [52] with correction for multiple comparisons across correlations (see below). Correlation analyses were restricted to 91 plants used for a logistic regression model on primary seed predation such that these analyses can be compared directly (compare Table S3, see below).

The joint effect of flower color and floral scent compounds on primary seed predation by H. bicruris in 91 F2 plants (those for which all data were available, compare Table S3) was analyzed using a multiple logistic regression model [52] with primary seed predation (absent/present, see above) as the response and flower color and floral scent compounds as explanatory variables. We included the block in the experimental field as a covariate to account for spatio-temporal effects on oviposition by H. bicruris, compare [35]. Compounds that were emitted in less than 25% of the F2 individuals were not considered for this model (see results). Explanatory variables were log-transformed where appropriate (see Table S6) and all variables were centered and scaled such that effect sizes are estimated while all other variables are held at their means allowing effect size comparisons across variables [55]. We tested for full model significance using a likelihood ratio test and conservatively interpret effect estimates from the full model as this takes account of all traits jointly and avoids overestimation of effect sizes [56]. Model residuals were examined graphically and they conformed to model assumptions [52].

Corrections for multiple comparisons (see above) were applied at an overall α = 0.05 using the Benjamini-Hochberg procedure [57]. All analyses were carried out in R version 2.9.2 [58]. All data, as well as the R script used, are available freely upon request to the corresponding author.

Results

Flowering phenology, flower number and seed predation

Silene dioica flowered earlier (May 2 to May 20) than S. latifolia (May 27 to August 19) and F2 hybrids flowered across the range of both species (Fig. 1a). The number of F2 individuals that flowered only for one week (in total 107 of 179 F2 individuals with flowering status and seed predation data) peaked in late May and seed predation was substantial throughout the season (Fig. 1b). Silene dioica individuals (N = 33) flowered on average 2.07±0.13 weeks, S. latifolia individuals (N = 21) 1.33±0.14 weeks and F2 hybrids (N = 185) 1.50±0.05 weeks. The median total flower number per individual at the end of the season was four for S. dioica (range: 1–27 flowers, N = 33), three for S. latifolia (range: 1–14 flowers, N = 21) and four for F2 hybrids (range: 1–28 flowers, N = 185).

The incidence of primary seed predation per plant differed significantly between cross types (logistic regression analysis, residual deviance 281.44 on 255 df, P = 7.25 •10−7). Seed predation rate was very low in S. dioica (3.2% of the plants infested, N = 31), and differed significantly from the substantial seed predation rate in S. latifolia (55.6%, N = 18, X2 = 15.00, P = 0.0001). F2 hybrids also had a high seed predation rate (48.0%, N = 179) that was significantly different from that of S. dioica (X2 = 20.07, P = 7.48•10−6), but not from that of S. latifolia (X2 = 0.13, P = 0.718).

Comparison of flower color and floral scent between Silene dioica and S. latifolia

Flowers of S. latifolia were almost invariably white (0% median color saturation) whereas S. dioica had a significantly higher flower color score with a median of 70% pink color saturation (Table 1, Table S4).

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Table 1. Flower color and floral scent (ng h−1 per flower) and the relative contribution of compound classes to total scent (%) in field-transplanted crosses within Silene dioica, within S. latifolia and in second-generation (F2) hybrids between these species.

https://doi.org/10.1371/journal.pone.0098755.t001

During night-time floral scent collection we obtained a median of 1495 ng h−1 total scent compounds per flower in S. dioica and 2545 ng h−1 in S. latifolia; total scent emission did not differ statistically between the two species (Table 1). Overall, we identified 22 scent compounds (Table 1). Scents of both species were dominated by fatty acids (74% and 52% in S. dioica and S. latifolia, respectively), particularly by (Z)-3-hexenyl acetate. In S. dioica, benzenoids and monoterpenoids together constituted less than 15%, while S. latifolia emitted 31% benzenoids and 11% monoterpenoids (Table 1). The irregular terpene 6-methyl-5-hepten-2-one was emitted in both species in appreciable amounts (12% and 6% in S. dioica and S. latifolia, respectively). Absolute amounts of individual compounds did not differ significantly between the two species after false discovery rate control except for phenylacetaldehyde and guaiacol that were emitted in significantly higher amounts in S. latifolia than in S. dioica (Table 1). Lilac alcohols and lilac aldehydes exhibited a tendency for higher emission in S. latifolia than in S. dioica (P<0.05; Table 1).

Trait expression and trait correlations in F2 hybrids

The range of trait values expressed by inter-specific F2 hybrids covered a large part or exceeded the combined range of S. dioica and S. latifolia for all traits, except for the benzenoids benzyl acetate and benzyl benzoate that had smaller ranges in F2 hybrids (Table S4). F2 trait values for flower color and total scent were statistically indistinguishable from the mid-parental values for these traits (Table 1). However, F2 medians of a number of individual scent compounds were significantly and substantially lower than mid-parental values; for example for benzyl acetate and lilac alcohols (Table 1).

Of 276 pair-wise correlations among 24 traits measured on 91 F2 individuals 48 were significant after correction for multiple comparisons (Table S5). Flower color was not significantly correlated with any scent compounds or with total scent. All significant correlations among individual scent compounds were positive and the strongest correlations occurred among cinnamic alcohol and cinnamic aldehyde (rs = 0.94, P<1.0⋅ 10−11) as well as among the fatty acid derivates (Z)-3-hexenyl acetate and (Z)-3-hexenol (rs = 0.87, P<1.0⋅ 10−11, Table S5).

Effects of flower color and floral scent on seed predation in F2 hybrids

For the joint analysis of the effect of flower color and floral scent compounds on primary seed predation by H. bicruris we considered only the 16 scent compounds that were detected in more than 25% of the F2 individuals, removing the four benzenoids veratrole, methyl benzoate, guaiacol and anisaldehyde as well as lilac alcohols (compare Table S6). Of these, veratrole and lilac alcohols were emitted in low to moderate amounts in some individuals whereas methyl benzoate, guaiacol and anisaldehyde were generally emitted in trace amounts only (Table 1, Table S4).

The logistic regression model on primary seed predation by H. bicruris in the 91 F2 individuals thus contained flower color, 16 scent compounds, the block effect (four blocks, i.e. three variables) and the intercept, 20 explanatory variables in total. This is an acceptable ratio of experimental units to variables of 4.55 [56]. The model had a residual deviance of 78.32 on 68 degrees of freedom indicating that the data are not over-dispersed [52] and was significant in comparison to the null model (X2 = 43.84, Pχ2 = 0.0037). In this model, flower color score and emission of α-pinene significantly decreased the odds of seed predation whereas emission of benzyl acetate and 6-methyl-5-hepten-2-one increased the odds of seed predation (Fig. 2, Table S6). Note that flower color and floral scent measurements were standardized before analysis (see Material and Methods section), thus effect estimates in log odds ratio units are given for increases of one standard deviation in the trait.

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Figure 2. Effect of flower color and floral scent compounds on seed predation.

Effect size estimates with standard errors from a logistic regression model of primary seed predation by the moth Hadena bicruris on inter-specific F2 hybrids between the moth's preferred host Silene latifolia and its alternative host S. dioica. Measurements were log-transformed where appropriate and all explanatory variables were scaled and standardized before analysis (compare Table S6). Significant effects (P<0.05) are indicated with an asterisk.

https://doi.org/10.1371/journal.pone.0098755.g002

Discussion

In this study, we used field-transplanted F2 hybrids between Silene latifolia and S. dioica in an ecologically realistic setting to investigate the role of flower color and floral volatiles on seed predation of the S. latifolia-associated nursery pollinator Hadena bicruris. Both flower color and floral scent were related to seed predation. Pinker S. dioica- like flowers decreased the odds of primary seed predation suggesting that ovipositing H. bicruris could be attracted to the white flowers of its preferred host S. latifolia. Furthermore, emission of α-pinene decreased and emission of benzyl acetate and 6-methyl-5-hepten-2-one increased odds of primary seed predation. These compounds were equally present in the floral scent of the two Silene species in our study suggesting that they are not related to the specific interaction of H. bicruris with S. latifolia. Below we discuss the implications of these findings as well as the benefits and limitations of our approach.

Hadena bicruris moths are known to oviposit on a subset of flowers they visit for nectaring, and oviposition choices likely are made during nectaring and probing [31], [32], [40], [43] as in other moth species [10]. The floral traits investigated here, flower color and scent, may therefore represent visitation signals for ovipositing moths. This interpretation is, however, contingent on the assumption that flower color and floral scent are not related to hatching success and early development of H. bicruris larvae, i.e., before we could detect seed predation (usually when feces were visible at the outside of the capsule). Two lines of evidence suggest that this is a reasonable interpretation. First, it is clear that H. bricruris can develop fully on both species but attains a lower weight when feeding on S. dioica [33]. Secondly, studies on the interaction of H. bicruris with native and invasive populations of S. latifolia suggest that differences in oviposition rather than in hatching and larval success are crucial for realized seed predation [34], [41]. Nonetheless, plants with H. bicruris eggs but no larvae developing from them, possibly due to differences in plant defenses, remained undetected in our study and this could have affected our results. Moreover, selective abortion of infested fruits has been suggested as a potential defense mechanism of S. latifolia against seed predation by H. bicruris [30], [35], [36]. We followed developing fruits closely and observed fruit abortion in only three out of 91 F2 individuals, but this occurred only after signs of seed predation had become visible (see Materials and Methods). In contrast to S. latifolia individuals used for detailed studies on fruit abortion [30], [35], [36], our study plants, most of them F2 hybrids between S. dioica and S. latifolia, were growing at a field site at 978 m a.s.l., were small, had very few flowers and short flowering times (1–2 weeks on average). This may have contributed to the low occurrence of fruit abortion.

Our study was conducted under ecologically realistic conditions. We used S. dioica, S. latifolia and F2 hybrids that were transplanted into a natural S. latifolia population where H. bicruris moths were abundant. In this setting, we could not control the floral neighborhood of our study plants that can affect the behavior of by H. bicruris [35], [59]. Instead we used a block effect in our statistical model of primary seed predation to account spatial effects. Different from other studies on nighttime scent emission in S. latifolia and S. dioica [20], [44], [46][48], [51] we report floral scents that are dominated by fatty acid derivatives and contain a substantial percentage of 6-methyl-5-hepten-2-one. In studies under controlled conditions, these compounds were previously been reported as minor components of the floral scent of S. latifolia and S. dioica when detected (<3% of he total floral scent per compound [20], [47], [51]). In contrast to these studies our study plants were exposed to natural soil conditions, herbivores and competition that can dramatically impact floral and systemic scent emission [14], [16], [60][62]. Thus, our results advance the understanding of volatile production under field conditions that is critically needed [17].

As expected, F2 individuals exhibited a large variation in flower color and floral scents. However, emission of several scent compounds was significantly lower than the mid-parental value suggesting that emission of these scents may not be under full additive genetic control [54]. In addition, emission of several scent compounds was strongly correlated in the F2 individuals; this concerned mostly compounds produced in related biochemical pathways, for example nonanal and decanal as well as cinnamic alcohol and cinnamic aldehyde [63]. Clearly, our analysis does not allow us to fully distinguish the effects of correlated compounds. Non-additive genetic control and correlations among biochemically related compounds in F2 hybrids may have reduced our power to test the effects of these compounds on seed predation and are among the general limitations of using recombinant hybrids to investigate complex traits in divergent species.

F2 individuals with pinker S. dioica-like flowers were less likely to suffer from primary seed predation than those with whiter S. latifolia-flowers suggesting that white flower color is involved in the specificity of the H. bicruris-S. latifolia interaction. As discussed above, this could be due to differences in attracting ovipositing H. bicruris. Pollination by nocturnal moths, such as H. bicruris, is classically associated with pale or white-colored flowers [3], [4], [64] and this is supported by experiments [9], [19], [22], [23]. Silene latifolia-specific scents were not significantly associated with seed predation by H. bicruris, even though floral scent, in particular lilac aldehydes, had previously been implicated in the attraction of H. bicruris to S. latifolia [20], [44][46], [48]. We may have been unable to detect these effects in our study due to limited statistical power and strongly and significantly reduced emission of lilac aldehydes in the F2 hybrids as compared to the mid-parental value. In addition, seed predation may have been affected by ratios or combined effects of floral scents [65] or by trait correlations with unmeasured floral traits, for example nectar volume and composition, floral display and flower size [9], [10], [31], [32], [34], [66]. Nonetheless, our results are consistent with ovipositing H. bicruris moths relying on vision when deciding between pink-flowering S. dioica and their preferred host, white-flowering S. latifolia.

Apart from flower color, the odds of primary seed predation in F2 hybrids were reduced in individuals emitting larger amounts of α-pinene and increased in those emitting high levels of benzyl acetate or 6-methyl-5-hepten-2-one. These compounds are common floral volatiles [63] and have previously been reported for the floral scent of S. latifolia [44], [46], [47], [51], [67]. In our study, emission of benzyl acetate, α-pinene and 6-methyl-5-hepten-2-one did not differ between the two Silene species. Waelti et al. [20] also report that night-time emission of α-pinene and 6-methyl-5-hepten-2-one was similar in the two Silene species, but during the day, S. dioica emitted more 6-methyl-5-hepten-2-one and less α-pinene than did S. latifolia in their study. Benzyl acetate and 6-methyl-5-hepten-2-one elicit antennal responses in H. bicruris or other moth species [45], [68]. The compound α-pinene did not elicit antennal responses in H. bicruris [45] or euglossine bees [65] when tested individually. In mixtures with other scent compounds, however, α-pinene reduced the attractiveness of floral scent to euglossine bees, possibly due to receptor blocking [65], [69]. Vegetative or floral emission of all three compounds related to seed predation by H. bicruris in this study has been implicated in inducible reactions of plants to herbivores or pathogens: in Sinapis alba, floral emission of both benzyl acetate and 6-methyl-5-hepten-2-one was inhibited following aphid attack but induced in response to caterpillar feeding [70]; in wheat, barley and maize, vegetative emission of benzyl acetate was induced by Fusarium infection [71], [72], and herbivory caused vegetative emission of α-pinene in Trifolium [14] and in cotton [73]. Thus, there are two possible explanations for the associations of benzyl acetate, α-pinene and 6-methyl-5-hepten-2-one emission with seed predation: first, α-pinene could act as a deterrent and benzyl acetate and 6-methyl-5-hepten-2-one as attractants for ovipositing moths. Secondly, these compounds could be emitted as responses to herbivory or to other damage and be used by H. bicruris to detect high-quality Silene hosts. Our study provides exciting results on the relationship of benzyl acetate, α-pinene and 6-methyl-5-hepten-2-one to seed predation by H. bicruris on Silene that need to be explored further in order to understand their role in the interaction of Silene with Hadena and possibly with other biotic agents.

Conclusions

In this field study, both flower color and floral scent of F2 hybrids between Silene dioica and S. latifolia were associated with seed predation by the moth Hadena bicruris. Our results are consistent with an important role of the white flower color of S. latifolia for the specific interaction with the moth H. bircruris. In addition, our results suggest that the incidence of seed predation is affected by the floral scent compounds α-pinene, benzyl acetate and 6-methyl-5-hepten-2-one. These compounds are not specific to either Silene species but have previously been implicated in induced plant reactions to herbivores and pathogens (see above). A strong influence of spatially and temporally varying agents such as herbivores or pathogens on seed predation would weaken the predictability of costs and benefits of the interaction for both partners [6], [7]. Such unpredictability would act to maintain an imperfect degree of specialization in interactions between plants and pollinating seed predators.

Supporting Information

Table S1.

Populations. Populations of Silene dioica and S. latifolia in the Swiss Alps that were used to generate crosses.

https://doi.org/10.1371/journal.pone.0098755.s001

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Table S2.

Crossing design. First- and second generation crosses within and between Silene dioica and S. latifolia, see Table S1 for population information. Family numbers in the first generation of crosses correspond to parents in the second generation. Only second-generation crosses were used in the field transplant experiment.

https://doi.org/10.1371/journal.pone.0098755.s002

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Table S3.

Sample size information. Families of crosses within and between Silene dioica and S. latifolia that survived in a transplant experiment, flowered and were used for measurements of flowering status, flower number, seed predation by the moth Hadena bicruris, flower color and floral scent. This experiment was mainly designed to obtain a highly variable hybrid population; for this reason 20 individuals of each of 36 families of second-generation (F2) hybrids were transplanted. 5 individuals of each of 18 families of second-generation crosses within S. dioica and within S. latifolia were transplanted for comparison. See Table S2 for crossing design.

https://doi.org/10.1371/journal.pone.0098755.s003

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Table S4.

Ranges of flower color scores and floral scent. Ranges of flower color and occurrence and ranges of floral scent (in ng h−1 per flower) in field-transplanted crosses within Silene dioica, within S. latifolia and in second-generation (F2) hybrids between these species.

https://doi.org/10.1371/journal.pone.0098755.s004

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Table S5.

Correlations between flower color and floral scents. Pair-wise Spearman rank correlation coefficients (rs) among flower color and floral scents in 91 field-transplanted second-generation (F2) hybrids between Silene dioica and S. latifolia; P-values significant after false discovery rate control at α = 0.05 are indicated in bold type.

https://doi.org/10.1371/journal.pone.0098755.s005

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Table S6.

Logistic regression results. Effect sizes with standard errors (SE) and corresponding Wald tests of floral traits and block effects in a logistic regression model of primary seed predation by the moth Hadena bicruris on inter-specific F2 hybrids between the moth's preferred host Silene latifolia and its alternative host S. dioica.

https://doi.org/10.1371/journal.pone.0098755.s006

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Acknowledgments

We would like to thank Alex Widmer for supporting this study through discussions, Edward Connor for his valuable help with volatile compound GC-MS analyses and Armin Bayard for letting us rent his field.

Author Contributions

Conceived and designed the experiments: SK AF PP FPS. Performed the experiments: PP AF. Analyzed the data: SK FPS. Contributed reagents/materials/analysis tools: SK PP. Wrote the paper: SK PP AF FPS.

References

  1. 1. Widmer A, Lexer C, Cozzolino S (2009) Evolution of reproductive isolation in plants. Heredity 102: 31–38.
  2. 2. Smadja C, Butlin RK (2009) On the scent of speciation: the chemosensory system and its role in premating isolation. Heredity 102: 77–97.
  3. 3. Fenster CB, Armbruster WS, Wilson P, Dudash MR, Thomson JD (2004) Pollination syndromes and floral specialization. Annual Review of Ecology Evolution and Systematics 35: 375–403.
  4. 4. Kephart S, Reynolds RJ, Rutter MT, Fenster CB, Dudash MR (2006) Pollination and seed predation by moths on Silene and allied Caryophyllaceae: evaluating a model system to study the evolution of mutualisms. New Phytologist 169: 667–680.
  5. 5. Dufay M, Anstett MC (2003) Conflicts between plants and pollinators that reproduce within inflorescences: evolutionary variations on a theme. Oikos 100: 3–14.
  6. 6. Holland JN, Fleming TH (2002) Co-pollinators and specialization in the pollinating seed-consumer mutualism between senita cacti and senita moths. Oecologia 133: 534–540.
  7. 7. Thompson JN, Pellmyr O (1992) Mutualisms with pollinating seed parasites amid co-pollinators—constraints on specialization. Ecology 73: 1780–1791.
  8. 8. Reynolds RJ, Kula AAR, Fenster CB, Dudash MR (2012) Variable nursery pollinator importance and its effect on plant reproductive success. Oecologia 168: 439–448.
  9. 9. Raguso RA, Willis MA (2005) Synergy between visual and olfactory cues in nectar feeding by wild hawkmoths, Manduca sexta. Animal Behaviour 69: 407–418.
  10. 10. Kessler D (2012) Context dependency of nectar reward-guided oviposition. Entomologia Experimentalis et Applicata 144: 112–122.
  11. 11. Kessler D, Gase K, Baldwin IT (2008) Field experiments with transformed plants reveal the sense of floral scents. Science 321: 1200–1202.
  12. 12. Reisenman CE, Riffell JA, Bernays EA, Hildebrand JG (2010) Antagonistic effects of floral scent in an insect-plant interaction. Proceedings of the Royal Society B-Biological Sciences 277: 2371–2379.
  13. 13. Schiestl FP, Huber FK, Gomez JM (2011) Phenotypic selection on floral scent: trade-off between attraction and deterrence? Evolutionary Ecology 25: 237–248.
  14. 14. Kigathi RN, Unsicker SB, Reichelt M, Kesselmeier J, Gershenzon J, et al. (2009) Emission of volatile organic compounds after herbivory from Trifolium pratense (L.) under laboratory and field conditions. Journal of Chemical Ecology 35: 1335–1348.
  15. 15. Knudsen GK, Bengtsson M, Kobro S, Jaastad G, Hofsvang T, et al. (2008) Discrepancy in laboratory and field attraction of apple fruit moth Argyresthia conjugella to host plant volatiles. Physiological Entomology 33: 1–6.
  16. 16. Lucas-Barbosa D, van Loon JJA, Dicke M (2011) The effects of herbivore-induced plant volatiles on interactions between plants and flower-visiting insects. Phytochemistry 72: 1647–1654.
  17. 17. Baldwin IT (2010) Plant volatiles. Current Biology 20: R392–R397.
  18. 18. Goyret J, Pfaff M, Raguso RA, Kelber A (2008) Why do Manduca sexta feed from white flowers? Innate and learnt colour preferences in a hawkmoth. Naturwissenschaften 95: 569–576.
  19. 19. Balkenius A, Rosen W, Kelber A (2006) The relative importance of olfaction and vision in a diurnal and a nocturnal hawkmoth. Journal of Comparative Physiology A – Neuroethology 192: 431–437.
  20. 20. Waelti MO, Muhlemann JK, Widmer A, Schiestl FP (2008) Floral odour and reproductive isolation in two species of Silene. Journal of Evolutionary Biology 21: 111–121.
  21. 21. Lexer C, Randell RA, Rieseberg LH (2003) Experimental hybridization as a tool for studying selection in the wild. Ecology 84: 1688–1699.
  22. 22. Hirota SK, Nitta K, Kim Y, Kato A, Kawakubo N, et al. (2012) Relative role of flower color and scent on pollinator attraction: experimental tests using F1 and F2 hybrids of daylily and nightlily. PLoS ONE 7: 10.
  23. 23. Klahre U, Gurba A, Hermann K, Saxenhofer M, Bossolini E, et al. (2011) Pollinator choice in Petunia depends on two major genetic loci for floral scent production. Current Biology 21: 730–739.
  24. 24. Brothers AN, Atwell JW (2014) The role of pollinator-mediated selection in the divergence of floral traits between two closely related plant species. International Journal of Plant Sciences 175: 287–295.
  25. 25. Goulson D, Jerrim K (1997) Maintenance of the species boundary between Silene dioica and S. latifolia (red and white campion). Oikos 79: 115–126.
  26. 26. Karrenberg S, Favre A (2008) Genetic and ecological differentiation in the hybridizing campions Silene dioica and S. latifolia. Evolution 62: 763–773.
  27. 27. Bernasconi G, Antonovics J, Biere A, Charlesworth D, Delph LF, et al. (2009) Silene as a model system in ecology and evolution. Heredity 103: 5–14.
  28. 28. Minder AM, Rothenbuehler C, Widmer A (2007) Genetic structure of hybrid zones between Silene latifolia and Silene dioica (Caryophyllaceae): evidence for introgressive hybridization. Molecular Ecology 16: 2504–2516.
  29. 29. Young HJ, Gravitz L (2002) The effects of stigma age on receptivity in Silene alba (Caryophyllaceae). American Journal of Botany 89: 1237–1241.
  30. 30. Burkhardt A, Delph LF, Bernasconi G (2009) Benefits and costs to pollinating, seed-eating insects: the effect of flower size and fruit abortion on larval performance. Oecologia 161: 87–98.
  31. 31. Brantjes NBM (1976) Riddles around the pollination of Melandrium album (Mill.) Garcke (Caryophyllaceae) during oviposition by Hadena bicruris Hufn. (Noctuidae, Lepidoptera). I Proceedings of the Koninklijke Nederlandse Akademie van Wetenschappen Series C-Biological and Medical Sciences 79: 1–12.
  32. 32. Brantjes NBM (1976) Riddles around the pollination of Melandrium album (Mill.) Garcke (Caryophyllaceae) during oviposition by Hadena bicruris Hufn. (Noctuidae, Lepidoptera), II. Proceedings of the Koninklijke Nederlandse Akademie van Wetenschappen Series C-Biological and Medical Sciences 79: 127–141.
  33. 33. Bopp S, Gottsberger G (2004) Importance of Silene latifolia ssp. alba and S. dioica (Caryophyllaceae) as host plants of the parasitic pollinator Hadena bicruris (Lepidoptera, Noctuidae). Oikos 105: 221–228.
  34. 34. Elzinga JA, Bernasconi G (2009) Enhanced frugivory on invasive Silene latifolia in its native range due to increased oviposition. Journal of Ecology 97: 1010–1019.
  35. 35. Elzinga JA, Turin H, van Damme JMM, Biere A (2005) Plant population size and isolation affect herbivory of Silene latifolia by the specialist herbivore Hadena bicruris and parasitism of the herbivore by parasitoids. Oecologia 144: 416–426.
  36. 36. Biere A, Honders SJ (1996) Impact of flowering phenology of Silene alba and S. dioica on susceptibility to fungal infection and seed predation. Oikos 77: 467–480.
  37. 37. Labouche A-M, Bernasconi G (2010) Male moths provide pollination benefits in the Silene latifolia-Hadena bicruris nursery pollination system. Functional Ecology 24: 534–544.
  38. 38. Young HJ (2002) Diurnal and nocturnal pollination of Silene alba (Caryophyllaceae). American Journal of Botany 89: 433–440.
  39. 39. van Putten WF, Elzinga JA, Biere A (2007) Host fidelity of the pollinator guilds of Silene dioica and Silene latifolia: possible consequences for sympatric host race differentiation of a vectored plant disease. International Journal of Plant Sciences 168: 421–434.
  40. 40. Biere A, Honders SC (2006) Coping with third parties in a nursery pollination mutualism: Hadena bicruris avoids oviposition on pathogen-infected, less rewarding Silene latifolia. New Phytologist 169: 719–727.
  41. 41. Wolfe LM, Elzinga JA, Biere A (2004) Increased susceptibility to enemies following introduction in the invasive plant Silene latifolia. Ecology Letters 7: 813–820.
  42. 42. Labouche A-M, Bernasconi G, Hare D (2013) Cost limitation through constrained oviposition site in a plant-pollinator/seed predator mutualism. Functional Ecology 27: 509–521.
  43. 43. Brantjes NBM (1976) Prevention of super-parasitism of Melandrium flowers (Caryophyllaceae) by Hadena (Lepidoptera). Oecologia 24: 1–6.
  44. 44. Dötterl S, Jürgens A (2005) Spatial fragrance patterns in flowers of silene latifolia: lilac compounds as olfactory nectar guides? Plant Systematics and Evolution 255: 99–109.
  45. 45. Dötterl S, Jürgens A, Seifert K, Laube T, Weissbecker B, et al. (2006) Nursery pollination by a moth in Silene latifolia: the role of odours in eliciting antennal and behavioural responses. New Phytologist 169: 707–718.
  46. 46. Dötterl S, Wolfe LM, Jürgens A (2005) Qualitative and quantitative analyses of flower scent in Silene latifolia. Phytochemistry 66: 203–213.
  47. 47. Waelti MO, Page PA, Widmer A, Schiestl FP (2009) How to be an attractive male: floral dimorphism and attractiveness to pollinators in a dioecious plant. BMC Evolutionary Biology 9..
  48. 48. Dötterl S, Jürgens A, Wolfe L, Biere A (2009) Disease status and population origin effects on floral scent: potential consequences for oviposition and fruit predation in a complex interaction between a plant, fungus, and Noctuid moth. Journal of Chemical Ecology 35: 307–319.
  49. 49. Favre A (2010) Mechanisms of habitat adaptation in Silene dioica and S. latifolia (Caryophyllaceae) [Dissertation No. 19050]. Zurich, Switzerland: ETH Zurich.
  50. 50. Favre A, Karrenberg S (2011) Stress tolerance in closely related species and their first-generation hybrids: a case study of Silene. Journal of Ecology 99: 1415–1423.
  51. 51. Muhlemann JK, Waelti MO, Widmer A, Schiestl FP (2006) Postpollination changes in floral odor in Silene latifolia: adaptive mechanisms for seed-predator avoidance? Journal of Chemical Ecology 32: 1855–1860.
  52. 52. Crawley M (2007) The R book. Chichester, UK: Wiley. 942 p.
  53. 53. Hothorn T, Hornik K (2006) exactRankTests: exact distributions for rank and permutation tests. R package version 08–18.
  54. 54. Lynch M, Walsh B (1998) Genetics and analysis of quantitative traits. Sunderland, Massachusetts: Sinauer Associates. 980 p.
  55. 55. Schielzeth H (2010) Simple means to improve the interpretability of regression coefficients. Methods in Ecology and Evolution 1: 103–113.
  56. 56. Forstmeier W, Schielzeth H (2011) Cryptic multiple hypotheses testing in linear models: overestimated effect sizes and the winner's curse. Behavioral Ecology and Sociobiology 65: 47–55.
  57. 57. Verhoeven KJF, Simonsen KL, McIntyre LM (2005) Implementing false discovery rate control: increasing your power. Oikos 108: 643–647.
  58. 58. R Development Core Team (2010) R: A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing. http://www.R-project.org.
  59. 59. Biere A, Honders SC (1998) Anther smut transmission in Silene latifolia and Silene dioica: Impact of host traits, disease frequency, and host density. International Journal of Plant Sciences 159: 228–235.
  60. 60. Kessler A, Baldwin IT (2001) Defensive function of herbivore-induced plant volatile emissions in nature. Science 291: 2141–2144.
  61. 61. Kessler A, Halitschke R, Poveda K (2011) Herbivory-mediated pollinator limitation: negative impacts of induced volatiles on plant-pollinator interactions. Ecology 92: 1769–1780.
  62. 62. Spathe A, Reinecke A, Olsson SB, Kesavan S, Knaden M, et al. (2012) Plant species- and status-specific odorant blends guide oviposition choice in the moth Manduca sexta. Chemical Senses 38: 147–159.
  63. 63. Knudsen JT, Eriksson R, Gershenzon J, Stahl B (2006) Diversity and distribution of floral scent. Botanical Review 72: 1–120.
  64. 64. Faegri K, van der Pijl L (1971) The principles of pollination ecology. Oxford: Pergamon Press. 291 p.
  65. 65. Schiestl FP, Roubik DW (2003) Odor compound detection in male euglossine bees. Journal of Chemical Ecology 29: 253–257.
  66. 66. Kessler D, Baldwin IT (2007) Making sense of nectar scents: the effects of nectar secondary metabolites on floral visitors of Nicotiana attenuata. Plant Journal 49: 840–854.
  67. 67. Jürgens A, Witt T, Gottsberger G (2002) Flower scent composition in night-flowering Silene species (Caryophyllaceae). Biochemical Systematics and Ecology 30: 383–397.
  68. 68. Tang R, Zhang JP, Zhang ZN (2012) Electrophysiological and behavioral responses of male fall webworm moths (Hyphantria cunea) to herbivory-induced mulberry (Morus alba) leaf volatiles. PLoS ONE 7: 7.
  69. 69. Dodson CH, Dressler RL, Hills HG, Adams RM, Williams NH (1969) Biologically active compounds in in Orchid fragrances. Science 164: 1243–1249.
  70. 70. Pareja M, Qvarfordt E, Webster B, Mayon P, Pickett J, et al.. (2012) Herbivory by a phloem-feeding insect Inhibits floral volatile production. PloS ONE 7..
  71. 71. Piesik D, Lemnczyk G, Skoczek A, Lamparski R, Bocianowski J, et al. (2011) Fusarium infection in maize: Volatile induction of infected and neighboring uninfected plants has the potential to attract a pest cereal leaf beetle, Oulema melanopus. Journal of Plant Physiology 168: 1534–1542.
  72. 72. Piesik D, Panka D, Jeske M, Wenda-Piesik A, Delaney KJ, et al. (2013) Volatile induction of infected and neighbouring uninfected plants potentially influence attraction/repellence of a cereal herbivore. Journal of Applied Entomology 137: 296–309.
  73. 73. Loughrin JH, Manukian A, Heath RR, Turlings TCJ, Tumlinson JH (1994) Diurnal cycle of emission of induced volatile terpenoids herbivore-injured cotton plants. Proceedings of the National Academy of Sciences of the United States of America 91: 11836–11840.