Skip to main content
Proceedings of the Royal Society B: Biological Sciences logoLink to Proceedings of the Royal Society B: Biological Sciences
. 2023 Jan 25;290(1991):20222068. doi: 10.1098/rspb.2022.2068

The price of defence: toxins, visual signals and oxidative state in an aposematic butterfly

Jonathan D Blount 1,†,, Hannah M Rowland 2,†,, Christopher Mitchell 1, Michael P Speed 3, Graeme D Ruxton 4, John A Endler 5, Lincoln P Brower 6
PMCID: PMC9845971  PMID: 36651049

Abstract

In a variety of aposematic species, the conspicuousness of an individual's warning signal and the quantity of its chemical defence are positively correlated. This apparent honest signalling is predicted by resource competition models which assume that the production and maintenance of aposematic defences compete for access to antioxidant molecules that have dual functions as pigments and in protecting against oxidative damage. To test for such trade-offs, we raised monarch butterflies (Danaus plexippus) on different species of their milkweed host plants (Apocynaceae) that vary in quantities of cardenolides to test whether (i) the sequestration of cardenolides as a secondary defence is associated with costs in the form of oxidative lipid damage and reduced antioxidant defences; and (ii) lower oxidative state is associated with a reduced capacity to produce aposematic displays. In male monarchs conspicuousness was explained by an interaction between oxidative damage and sequestration: males with high levels of oxidative damage became less conspicuous with increased sequestration of cardenolides, whereas those with low oxidative damage became more conspicuous with increased levels of cardenolides. There was no significant effect of oxidative damage or concentration of sequestered cardenolides on female conspicuousness. Our results demonstrate a physiological linkage between the production of coloration and oxidative state, and differential costs of sequestration and signalling in monarch butterflies.

Keywords: aposematism, cardenolides, resource competition, oxidative lipid damage, Danaus plexippus, honest signalling

1. Introduction

Many species of animals, plants and micro-organisms possess chemical defences that reduce the likelihood of their being eaten [1]. Aposematic species, such as the monarch butterfly (Danaus plexippus), signal their chemical defences to predators with conspicuous warning colours [2]. In some species, the conspicuousness of the warning signal and the quantity of chemical defence are positively correlated—for example, in some dendrobatid frogs [35], marine opisthobranchs [6], ladybird beetles [7,8] and paper wasps Polistes dominula [9]. The identification of these relationships has renewed interest in the ideas that warning signals may inform predators about levels of prey defence and that such signals are honest indicators of defensive capability [10]. Several theoretical studies have, however, predicted the opposite: that well-defended prey should reduce investment in signals, because signalling carries an additional conspicuousness cost, and such prey stand a good chance of surviving any attack unharmed [113]. Negative signal–defence correlations have been reported across some dendrobatid poison frogs [14] including Dendrobates granuliferus [15]. Using a novel theoretical model, Blount et al. [16] was able to explain both the positive and negative correlations between warning colours and chemical defences if these two traits are linked through the competitive use of a shared resource. One possible shared resource is energy, which can be limiting for the sequestration or biosynthesis of toxins [17]. Alternatively, sequestration of toxins could impose metabolic costs through oxidative lipid damage and reduced antioxidant defences—an idea that has received limited empirical attention in regard to warning signals.

Many plant allelochemicals are powerful pro-oxidants, which, when ingested, can cause oxidative lipid damage [18]. In their resource competition framework, Blount et al. [16] envisaged that pigments used in prey warning signals (e.g. carotenoids, flavonoids, melanins, and pteridines) might play a dual role in imparting colour and acting as antioxidants that prevent self-damage when storing toxins. In their model, if antioxidants are required to enable individuals to withstand high levels of toxicity, signal reliability can be explained if the brightest and most toxic species gain access to more of the limiting resource than those that are less bright and less toxic (figure 1a,c). The prediction of signal honesty breaks down in the model when prey have very abundant resources, in which case it pays to divert these resources increasingly into toxins rather than warning signals, because less conspicuous but highly toxic prey encounter predators less often and have higher chances of surviving attacks (figure 1b,d [16]). Directly controlling antioxidant availability is challenging experimentally; consequently it is unclear whether colour–toxin relationships are influenced by the resource state of prey [14,15], and this has not yet been examined experimentally [11,12,16,17,19].

Figure 1.

Figure 1.

The resource allocation trade-off model by Blount et al. [16] predicts that individual prey acquire antioxidant resources from their environment (represented by the circle resource pool), which they divide via genetically or physiologically controlled flow rates (f) between sequestering defensive toxins (red circle) and in using antioxidants to produce pigments used for warning signals (orange circle). Each individual or population has access to a given level of resources (represented by the size of the circle) that they allocate to each defence type. In scenario (a), prey allocate resources equally to colour and toxicity. Those with more resources are able to allocate more resources than prey with a smaller resource pool, resulting in (c) a positive correlation between colour and toxicity, with only the most resource rich prey having the most colourful and toxic defences. In scenario (b), resource availability is very high for some prey (represented by the largest circle resource pool) and those prey with excess resources invest more in toxins than in warning signals (represented by the larger f and red circle), resulting in (d) a negative correlation between colour and toxicity. Blount et al. [16] suggest that this is because highly toxic prey can protect themselves sufficiently even with low levels of warning colours.

The monarch butterfly (Danaus plexippus) selectively metabolizes toxic cardenolides present in its host plants and stores them in its body [20,21]. We manipulated the availability of diet-derived toxins available to monarch caterpillars to test whether toxin sequestration and the production and maintenance of adult warning signals are linked via oxidative state. The various species of the monarch's larval milkweed host plants (Apocynaceae) are known to vary inter- and intraspecifically in cardenolide concentration and cardenolide polarity [21,22]. We test whether (i) the quantity of sequestered secondary defence by caterpillars is associated with levels of oxidative lipid damage and antioxidant defences in adults, and (ii) whether oxidative lipid damage incurred during sequestration affects the capacity of adult butterflies to produce aposematic warning signals.

Because there is substantial genetic variation in sequestration ability, and because evolutionary history and contemporary species interactions may influence patterns of cardenolide sequestration [23], we used monarchs from a single population. We reared monarchs on four milkweed species (table 1) that show within- and between-species, and among-population variation in cardenolide concentration, diversity and polarity [22,3234]. Based on the published records of biological activity and chromatic quantification (e.g. HPLC and thin layer chromatography) of cardenolides of milkweeds in different populations and latitudes [35,36], our four plant species were used to represent a gradient of low to high cardenolide defences, with the aim of creating different costs of sequestration. We predicted that concentrations of cardenolides in the body and wings of newly eclosed adults would differ according to the host plant on which they were reared (see Material and methods): Asclepias curassavica (Ac) ≥ A. syriaca (As) > A. incarnata (Ai) ≥ A. tuberosa (At).

Table 1.

The four species of Asclepias used in the rearing experiments with descriptions of their use by monarchs and phytochemistry.

Asclepias species description and cardenolide content
Asclepias curassavica a critical host plant worldwide and contains a diversity of cardenolides, including apolar voruscharin which is detrimental to monarch performance [21,2427]
A. syriaca (common milkweed) principal native host plant of the monarch east of the Rocky Mountains. Characterized by more polar cardenolides though also contains the apolar labriformin [28,29]
A. incarnata (swamp milkweed) preferred host plant in the Midwest USA and has low concentrations of cardenolides [30]
A. tuberosa (butterfly milkweed) an occasional native host plant in the wild with low concentrations of cardenolides [21,31]

Because sequestration, modification and storage of allelochemicals are believed to be oxidatively stressful for many chemically defended organisms [18], we predicted that body levels of oxidative lipid peroxidation would differ among individuals according to host plant, as follows: AcAs > AiAt. In turn, we predicted that survival to eclosion would differ according to host plant: AtAi > AsAc, and that the redness, luminance and conspicuousness of the warning signals would differ: AcAs > AiAt. In addition to testing for treatment effects, we examined associations between individual levels of cardenolides, oxidative state, and warning signal redness, luminance and conspicuousness. We predicted a positive association between levels of cardenolides and lipid peroxidation, a negative association of cardenolides with antioxidant defences, and that highly toxic prey would be the most conspicuous [16].

2. Material and methods

(a) . Milkweed plants

Milkweeds (A. incarnata, A. tuberosa, A. curassavica and A. syriaca) were locally sourced in Amherst, Virginia, USA. We did not measure cardenolide content in the leaves of the plants used in the experiment, but used published records about the spatial repeatability of cardenolide defences that take into account latitudinal clines [3537]. From these records, we predicted that for milkweeds grown in Mid-Atlantic and Southeastern regions of the USA, total cardenolide content would vary in the order Ac ≥ As > Ai ≥ At. The plants were grown without the use of pesticides [38]. All plants were healthy with undamaged leaves at the start of the experiment.

(b) . Milkweed feeding assay and preparation of samples

Eggs were obtained from wild caught monarch females in Virginia (USA) that were kept in captivity until they laid eggs [39]. Using a split family design, larvae were reared by LPB on single plants under the same conditions. All larvae had abundant food during the experiment. Larvae were monitored daily for pupation starting at day 12.

Upon eclosion, the date and the individual's sex were recorded. Adults were placed in glassine envelopes and frozen on dry ice until dead, then stored in a freezer at −80°C before being shipped to the UK on dry ice. Adults were stored at −80°C in J.D.B.'s laboratory until they were analysed.

For analysis, the gut was removed, and the head, thorax and abdomen (hereafter, ‘body’) were bisected longitudinally. One half of the body was returned to storage at −80°C for later analysis of cardenolides. The other half of the body was homogenized in ice-cold phosphate-buffered saline (PBS; 5% w/v), for analyses of oxidative stress. The wings were removed using dissecting scissors and shipped on dry ice to H.M.R.'s laboratory for analyses of coloration (see below). Wings were then returned on dry ice to J.D.B.'s laboratory for cardenolide analysis.

(c) . Determination of oxidative stress and cardenolide concentration

Determining oxidative state requires a range of assays including antioxidant defences and oxidative damage. We assayed three such components: total superoxide dismutase (SOD), which are metalloenzymes that catalyse the dismutation of superoxide into oxygen and hydrogen peroxide and form a crucial part of intracellular antioxidant defences; total antioxidant capacity (TAC), which measures the activity of low molecular weight chain-breaking antioxidants including ascorbate, a-tocopherol, carotenoids and flavonoids, and therefore gives an overview of the antioxidant status of individuals (including diet-derived antioxidants); and malondialdehyde (MDA), which is formed by the β-scission of peroxidized polyunsaturated fatty acids, and therefore is a definitive marker of oxidative damage.

(i) . Total superoxide dismutase

SOD was assayed by measuring the dismutation of superoxide radicals generated by xanthine oxidase and hypoxanthine. We followed the instructions of the kit (no. 706002; Cayman Chemical, Michigan, USA), except that tissue homogenates were further diluted with the supplied sample buffer (1 : 100 v/v) to ensure that SOD activity fell within the range of the standard curve. Samples were assayed in duplicate and are reported as units of SOD activity (U) per mg tissue.

(ii) . Total antioxidant capacity

TAC was assayed by measuring the capacity of tissue homogenate to inhibit the oxidation of 2,2'-azino-di-[3-ethylbenzthiazoline sulfonate] (no. 709001; Cayman Chemical). The homogenate was further diluted with sample buffer (1 : 5 v/v) to bring the absorbance values within the range of the standard curve. Samples were assayed in duplicate, as per the kit instructions. Data are reported as nanomoles of TAC activity (Trolox equivalents) per gram tissue.

(iii) . Malondialdehyde

MDA was measured using HPLC with fluorescence detection as described previously for tissue homogenates (e.g. [40]). All chemicals were HPLC grade, and chemical solutions were prepared using ultrapure water (Milli-Q Synthesis; Millipore, Watford, UK). Samples were derived in 2 ml capacity polypropylene screw-top microcentrifuge tubes. For tissue homogenates and for the standard (1,1,3,3-tetraethoxypropane, TEP; see below) a 20 µl aliquot was added to 20 µl butylated hydroxytoluene solution (BHT; 0.05% w/v in 95% ethanol), 160 µl phosphoric acid solution (H3PO4; 0.44 M), and 40 µl thiobarbituric acid solution (TBA; 42 mM). Samples were capped, vortex mixed for 5 s, then heated at 100°C for 1 h in a dry bath incubator to allow formation of MDA-TBA adducts. Samples were then cooled on ice for 5 min, before 80 µl n-butanol was added and tubes were vortex mixed for 20 s. Tubes were centrifuged at 12 000g and 4°C for 3 min, before the upper (n-butanol) phase was collected and transferred to an HPLC vial for analysis. Samples (10 µl) were injected into a Dionex HPLC system (Dionex Corporation, California, USA) fitted with a 5 µm ODS guard column and a Hewlett-Packard Hypersil 5µ ODS 100 × 4.6 mm column maintained at 37°C. The mobile phase was methanol buffer (40 : 60, v/v), the buffer being a 50 mM anhydrous solution of potassium monobasic phosphate at pH 6.8 (adjusted using 5 M potassium hydroxide solution), running isocratically over 3.5 min at a flow rate of 1 ml min−1. Data were collected using a fluorescence detector (RF2000; Dionex) set at 515 nm (excitation) and 553 nm (emission). For calibration, a standard curve was prepared using a TEP stock solution (5 mM in 40% ethanol) serially diluted using 40% ethanol. Data are presented as nanomoles MDA per gram tissue.

(iv) . Cardenolide analysis

For cardenolide analysis, samples (wings and the remaining half of the body) were dried in an oven at 60°C for 16 h. The dried material was ground to a fine powder using a pestle and mortar, and weighed to the nearest 0.0001 g using a GR-202 electronic balance (A&D Instruments Ltd, Abington, UK). The samples were placed in screw-top polypropylene tubes for de-fatting and cardenolide extraction. To remove fats, 2 ml hexane was added and samples were incubated at 35°C for 30 min, before being centrifuged at 10 000g and 4°C for 5 min; the supernatant was collected and discarded. Ethanol (1.9 ml) containing 20 µg digitoxin (no. D5878; Sigma-Aldrich, Dorset, UK) as an internal standard were added to the pellet and it was briefly vortexed to extract cardenolides. Samples were placed in an XUB5 ultrasonic bath (Grant Instruments, Shepreth, UK) at 60°C for 60 min, followed by further centrifugation (9600g and 4°C for 5 min). The supernatant was removed and evaporated to dryness using a Savant ISS 110 SpeedVac Concentrator at room temperature (Thermo Scientific, Altrincham, UK). Samples were then dissolved in 0.5 ml methanol by vortexing, and 50 µl of the solution was injected into a Dionex HPLC system fitted with a Waters Spherisorb 5 µm ODS2 column (150 × 4.6 mm) maintained at 20°C. A multistep gradient of acetonitrile (ACN) and ultrapure water was used as the mobile phase, as follows: initial concentration 20% ACN held for 5 min, ramp to 70% ACN at 20 min and held until 25 min, ramp to 95% ACN at 30 min and held until 35 min, returning to 20% ACN at 40 min, with an end time of 50 min. The flow rate was 0.7 ml min−1. Peaks were collected using a PDA-100 photodiode array detector (Dionex) at an absorbance value of 218 nm. Spectral data between 200–400 nm were collected, and cardenolides were identified as peaks with a symmetrical absorbance band with a maximum absorbance between 217 and 222 nm [41,42]. Data are presented as micrograms of total cardenolides per 0.1 g tissue.

(d) . Measurements and visual modelling of coloration

The reflectance of the forewings of each butterfly, and of four leaves from Asclepias syriaca (as a representative background that the butterflies can rest on. Obtained from A. Agrawal), were measured using an Ocean Optics USB2000 spectrophotometer, with specimens illuminated at 45° to normal by a DH1000 balanced halogen deuterium light source. The measuring spot diameter was 3 mm, with spectra recorded at 0.34 nm intervals from 300 to 700 nm and measured relative to a WS-1 reflectance standard. For each wing, three to four non-overlapping measurements were taken per orange segment of the wing (electronic supplementary material, figure S1; total number of measurement spots per forewing = 13–14). For the leaves, we took 11 non-overlapping measurements. Spectrophotometry data were recorded using Ocean Optics OOBase32.

To determine differences in chroma between treatments, we modelled the predicted photon catches of a generalized passerine bird (passerines being the main avian predators of monarchs [43]) for each spectrum following the Vorobyev–Osorio model [44], using the R package PAVO [45]. We used the cone types of a blue tit, Cyanistes caeruleus [46]: longwave, LWS, λmax 563 nm; mediumwave, MWS, λmax 503 nm; shortwave, SWS, λmax 448 nm; ultraviolet, UVS, λmax 371 nm; and double dorsal, DD λmax 563 nm. We calculated redness as the ratio of long wave to medium wave cone responses. We also calculated a measure of chromatic conspicuousness as ΔS between the mean colour of the forewings of the butterflies and mean colour of the A. syriaca leaves using the Vorobyev–Osorio colour discrimination model, which is based on evidence that colour discrimination is determined by noise arising in the photoreceptors and is independent of light intensity. We used a Weber fraction value of 0.05 for the most abundant cone type [47]. We calculated luminance as the response of the dorsal double cone [48].

(e) . Data analyses

Left- and right-wing cardenolide concentration were significantly positively correlated (r = 0.96, t = 20.75, d.f. = 38, p < 0.0001). There was no significant correlation between asymmetry in wing cardenolide concentrations and the mean cardenolide concentration of the wings (r = 0.10, t = 0.64, d.f. = 38, p = 0.52), and so for each individual we calculated a mean wing cardenolide concentration. Left- and right-wing redness were significantly positive correlated (r = 0.85, t = 10.27, d.f. = 38, p < 0.0001), as were left- and right-wing conspicuousness (r = 0.86, t = 0.33, d.f. = 38, p < 0.0001), and left- and right-wing luminance (r = 0.47, t = 3.32, d.f. = 38, p = 0.002). For each individual we calculated a mean forewing redness, conspicuousness and luminance.

We log transformed MDA and wing and body cardenolide concentration to normalize the distribution of the residuals. We analysed the effect of host plant on total cardenolide concentration, body cardenolide concentration and wing cardenolide concentration using a GLM with a Gaussian distribution and identity link function. We set A. tuberosa as the species against which we compared the other plants, because of its low cardenolide content. Eclosion success or failure was analysed with a binomial GLM. To analyse how cardenolides and oxidative stress affected colour metrics in the butterflies we constructed a full model that included all pairwise interactions and a three-way interaction between MDA × total cardenolide concentration × sex and compared this to a simple model that included only the fixed effects of MDA, total cardenolide concentration and sex. We compared the reduced model to the full model by using information criteria (AIC; see electronic supplementary material, tables S1–S13). We visualized the interaction between two continuous variables using the rsm package in R [49]. All data were analysed using R version 4.0.4.

3. Results

(a) . Cardenolide concentrations

In support of our first hypothesis, concentrations of cardenolides in the body and wings of newly eclosed adults differed according to the host-plant species on which they were reared (figure 2a; F4,36 = 7.42, p = 0.0002). Monarchs reared on Ac and As sequestered significantly more cardenolides in total than those reared on At (Ac versus At: estimate = 822.9 ± 184.3, t = 4.47, p < 0.0001; As versus At: estimate = 726.6 ± 187.1, t = 3.88, p = 0.0004). Those reared on Ai did not sequester significantly different total amounts of cardenolides than those on At (estimate = 213.9 ± 189.2, t = 1.13, p = 0.27). Males tended to sequester more cardenolides in total than females, but this difference was not significant at the alpha 0.05 level (estimate = 243.5 ± 133.4, t = 1.825, p = 0.076).

Figure 2.

Figure 2.

Cardenolide sequestration by monarchs feeding on Asclepias tuberosa (AT), A. incarnata (AI), A. syriaca (AS), and A. curassavica (AC); (a) total cardenolide (micrograms of total cardenolides per 0.1 g tissue) measured in the wings and bodies, (b) body cardenolide content, (c) wing cardenolide content. Boxplots show the median, interquartile range and the whiskers represent the largest and smallest value within 1.5 times the 25th and 75th percentiles. Outliers are represented by small black dots. Mean cardenolide concentrations are represented by large black dots.

Body cardenolide concentration tended to differ between host plants, but the difference was not significant at the alpha 0.05 level (figure 2b; F4,37 = 2.471, p = 0.061). Wing cardenolide concentration significantly varied between host plants (figure 1c; F4,36 = 19.25, p < 0.001; figure 2c). Wing cardenolides were significantly higher in Ac and As compared to At (Ac versus At: estimate = 1.59 ± 0.29, t = 5.48, p < 0.0001; As versus At: estimate = 1.78 ± 0.30, t = 6.05, p ≤ 0.001), but did not differ significantly between At and Ai (estimate = −0.05 ± 0.29, t = −0.18, p = 0.38).

(b) . Survival to pupation and eclosion

We predicted that sequestration of cardenolides would impose a cost that would be associated with reduced survivorship to eclosion. Successful eclosion was significantly higher in monarchs reared on At (89%) compared with those reared on As (20%; estimate = −2.06 ± 0.751, t = 2.75, p = 0.009), while there was no significant difference between Ai (70%) and At (89%, estimate = −0.696 ± 0.728, t = −0.956, p = 0.34) or At (89%) and Ac (62%; estimate = −0.927 ± 0.690, t = −1.344, p = 0.19). Survival to pupation did not differ significantly according to host-plant species (0% At, 23% Ai, 33% As, 27% Ac; Fisher's exact test p = 0.28).

(c) . Cardenolide and oxidative stress

(i) . Malondialdehyde

Contrary to our prediction that oxidative lipid damage would differ by host plant, we found no significant effect of host plant or sex on MDA (main effect F4,37 = 0.77, p = 0.55). In line with our prediction of a positive association between concentration of sequestered cardenolides and markers of oxidative damage, across all treatment groups individuals that sequestered higher total concentrations of cardenolides had higher levels of MDA (figure 3; main effect: F2,38 = 4.08, p = 0.025; cardenolide: estimate = 0.0005 ± 0.0002, t = 2.51, p = 0.016). There was no significant difference between the sexes (estimate = −0.3097 ± 0.198, t = −1.57, p = 0.13).

Figure 3.

Figure 3.

Total cardenolide concentration for males (filled triangle) and females (open circle) and malondialdehyde (MDA) concentration. Line is the smoothed conditional mean with 95% confidence intervals.

(ii) . Superoxide dismutase activity

There was no significant effect of host plant or sex on SOD activity (main effect F4,37 = 0.28, p = 0.89). We found no significant effect of total cardenolide concentration or sex on SOD activity (main effect: F2,38 = 0.52, p = 0.60).

(iii) . Total antioxidant capacity

There was no significant effect of host plant or sex on TAC (F4,37 = 0.42, p = 0.79) or total cardenolide concentration (F2,38 = 0.19, p = 0.83).

(iv) . Sequestration, oxidative stress and warning signals

Because MDA was the only marker associated with individual levels of sequestration, we analysed its association with warning signals, but did not conduct analyses on SOD activity or TAC effects on warning signals. Monarchs varied significantly in conspicuousness (chroma (ΔS): F3,35 = 17.85 p < 0.0001). Males were significantly more conspicuous in chroma (ΔS) than females (estimate = 5.30 ± 0.82, t = 6.49, p < 0.001), and both sexes decreased in conspicuousness with increasing MDA, though this difference was not significant at the alpha 0.05 level (estimate = −1.26 ± 0.65, t = −1.95, p = 0.06). There was no significant effect of cardenolide concentration on wing conspicuousness (estimate = −0.00002 ± 0.0008, t = −0.03, p = 0.98). Because of the significant sexual dimorphism in colour and sequestration, we separated the analysis by sex and found a significant two-way interaction between MDA and total cardenolide concentration on the conspicuousness (chroma ΔS) of male forewings (main effect: F3,21 = 8.54, p = 0.0007; MDA × cardenolide: estimate = −0.003 ± 0.001, t = −3.24, p = 0.004) that is represented by a curved surface (figure 4). Males with the highest levels of sequestered cardenolides had the most conspicuous warning signals when oxidative damage was lowest, and reduced their warning signal conspicuousness as oxidative damage increased, while those that sequestered the lowest levels of cardenolides showed no change in warning signal conspicuousness across all levels of oxidative damage. The conspicuousness of males' warning signals decreased with increasing sequestration in males with high oxidative damage, whereas conspicuousness increased in males with low oxidative damage with increasing sequestration. There was no significant effect of oxidative damage or concentration of sequestered cardenolides on female forewing conspicuousness (F3,10 = 0.06, p = 0.98).

Figure 4.

Figure 4.

Three-dimensional surface (perspective) plot for the response surface predicting the relationship between the conspicuousness of the male monarch's forewing, oxidative damage measured as malondialdehyde (MDA) and total cardenolide concentration.

Males also had significantly redder forewings than females (main effect: F3,35 = 5.81, p = 0.002; sex estimate = 0.24 ± 0.06, t = 3.82, p = 0.0005), but there was no significant effect of MDA or cardenolide concentration on male and female redness (MDA: estimate = −0.04 ± 0.049, t = −0.86, p = 0.40; cardenolide concentration: estimate = 0.00001 ± 0.00006, t = 0.16, p = 0.87). We found a significant difference in brightness (F3,35 = 10.19, p = 0.00006). Males were significantly brighter than females (estimate = 0.03 ± 0.007, t = 4.37, p = 0.0001) and both sexes decreased in brightness with increasing MDA (estimate = −0.01 ± 0.005, t = −2.40, p = 0.02). There was no significant effect of cardenolide concentration on wing brightness (estimate = 0.000003 ± 0.000007, t = 0.37, p = 0.70).

4. Discussion

We reared monarch caterpillars on whole plants from single plant populations of four milkweed species with varying phytochemistry (Asclepias tuberosa, A. incarnata, A. syriaca and A.curassavica; [50]). Monarchs that sequestered higher concentrations of cardenolides experienced higher levels of oxidative damage than those that sequestered lower concentrations (measured as the concentration of malondialdehyde; MDA). Although there is some evidence that cardenolides can be a burden for monarch caterpillars [22,51], our results are among the first to show a potential physiological mechanism of oxidative damage as a cost of sequestration for monarchs (see also [21,37]). We found a trade-off between sequestration and conspicuousness in male monarchs mediated by oxidative damage. Males with high oxidative damage had decreasing conspicuousness with increasing sequestration, whereas males with low oxidative damage showed increased conspicuousness with increasing sequestration. This is the first evidence to support Blount et al.'s [16] resource allocation trade-off model—prey with lower oxidative damage are able to allocate more resources to colour and toxicity than prey with higher oxidative damage—and shows that an ability to deal with oxidative damage can result in colour–toxin correlations in monarch butterflies.

Some authors [52] have rejected the idea that there can be a mechanistic link between warning signals and chemical defences that involve intrinsic costs of production or maintenance of defences because there was no clear mediator. However, condition-dependent expression of colourful signals can arise when the underlying physiological pathways that produce coloration are dependent on the same core cellular processes [16,53]. We found stable levels of antioxidant defences (superoxidase dismutase and TAC) but increased oxidative damage was associated with reduced warning signal conspicuousness, which suggests that the monarchs that are better able to control pro-oxidant levels can sequester more cardenolides and still invest in warning signals [54]. Similar patterns are observed in Aristolochia-feeding pipevine swallowtail butterflies (Battus philenor) that store nitrophenanthrenes and have significantly higher tissue levels of carotenoids than related species which mimic them in coloration but do not store toxins [55]. Similarly, the rank order of body concentrations of carotenoids in three species of lepidoptera matches the rank order of dietary exposure to the pro-oxidant toxin furanocoumarin (8-MOP) (Papilio polyxenes > Spodoptera eridania > Trichoplusia ni; [18]). Antioxidants are involved in detoxification processes [56] as well as pigment synthesis pathways directly [57], or as cofactors of enzymes [58]. Our results allow us to speculate that antioxidant availability has a role in the biochemistry underlying the variations in warning coloration and toxicity in aposematic animals. Warning colours are, however, usually regulated by more than one mechanism, and we suggest that this area of research warrants further biochemical study.

Oxidative state likely depends on the combination of genetic, environmental and gene by environment (G × E) interactions that determine an individual's condition. Monarchs show patterns of local adaptation to their host plants (based on larval growth rate [37]), and also show G × E interactions in sequestration ability [23] which may reflect either a lack of evolutionary history with different species of Asclepias, or a physiological trade-off in sequestration ability. Our results suggest that populations of monarchs that are sympatric with high cardenolide milkweeds could be less subject to oxidative damage, either because they have evolved higher antioxidant efficiency, or because they are able to accumulate more antioxidants to provide enhanced antioxidant protection. Further research on this topic could have interesting implications for our understanding of host shifts, range expansions and automimicry (the occurrence of palatable ‘cheaters’ in a chemically defended population). Whether automimicry in monarchs arises directly from a deficiency in an individual's capacity to cope with reactive oxygen species warrants further study [59].

Our results depend, to some extent, on the measure of signal conspicuousness measured against the leaves of one of the four host plants (A. syriaca), and the measurement of total cardenolide content by high-performance liquid chromatography. The differences in conspicuousness of the forewings to the host-plant leaves range from (ΔS) 14 to 29. These ‘suprathreshold’ colour differences are often assumed to scale linearly with colour distance, but this is not the case in some visual systems [60]. Experiments testing predator responses to the colour differences, and the consequences for prey survival, will be important for determining whether the levels of measured conspicuousness result in differential survival. Future research could also calculate conspicuousness against a range of host-plant species and plant parts, as well as considering predator visual acuity and the effects of increasing viewing distance on warning signal conspicuousness. The total cardenolide content of monarchs in our study ranged from 400 to 2100 µg per 0.1 g of tissue. Predators would likely respond differently to these levels, because Brower [32] determined that similar variation to that which we report here represents a spectrum of toxicity to predatory blue jays (measured as the number of blue jays that would be made unwell by consuming the butterflies). A more mechanistic quantification of toxicity to predators could be employed, i.e. using in vitro tests of the cellular target of cardenolides, the sodium–potassium pumps (Na+/K+ -ATPase), which could determine if the cardenolide concentrations of the monarchs represent physiologically different levels of toxicity. Our future work will address whether predators are a source of selection for the cardenolides sequestered by milkweed herbivores. Together, our results suggest that predators have the potential to distinguish between monarchs that vary in toxins and warning signals. This could result in selection against moderately defended and moderately conspicuous individuals, because predators may visually reject highly conspicuous prey, and taste reject highly defended but less conspicuous prey. Such differential selection could maintain the signal variability we observe in male monarchs and in other aposematic prey.

The resource competition model does not investigate or predict sex differences in resource limitation. However, Blount et al. [61] found that ladybird females (the larger sex) are more susceptible to resource limitation than males, and hence more likely to signal honestly. In this study we found costs of signalling in male monarchs. Males are slightly larger than females and are the more active sex. Males also sequestered more cardenolides than females. This behavioural difference between the sexes may increase males' probability of detection and risk of predation, and also increase their sensitivity to oxidative damage.

Although we did not measure cardenolide content in milkweed plants, our results relating to the sequestration patterns of monarchs supports previous research showing that the concentration of sequestered cardenolides varies depending on host-plant chemistry [62,63], and follows a standard approach to using the natural between species and population variability in plant toxicity to test for costs of sequestration [21,35,50]. However, it is methodologically difficult to separate the costs of sequestration from the potential effects of other plant defences and nutrient availability that vary between milkweed species [22,64]. Future work could focus on comparative phytochemical profiles to understand resource availability, and experiments that control nutritional content while manipulating toxin content [65].

In conclusion, our results support the proposal that oxidative state can be a key physiological mechanism that links warning colours to sequestration costs [16], and that the contribution of pigments to antioxidant activity for maintaining redox homeostasis is important [59]. Our results show that specialist herbivores must balance the benefits of plant secondary compounds for sequestration with the burden that these same compounds impose (though see [30,50]). Future research should examine the possibility of natural selection for oxidative capacity, and whether aposematism evolves in species that have high antioxidant capacity. These studies could provide new theories for understanding the evolution of aposematism when coloration and toxicity do not coevolve. Documenting the costs associated with using secondary defences in natural systems is important for our understanding of the ecology and evolution of aposematism.

Acknowledgements

We thank three referees for their constructive comments during the review process. We thank Prof. Linda Fink for her support in drafting the manuscript following the death of Prof. Lincoln Brower. We thank Alfonso (Poncho) Aceves for help with the PAVO coding for visual modelling, and Prof. Anurag Agrawal for leaves of Asclepias syriaca.

Contributor Information

Jonathan D. Blount, Email: j.d.blount@exeter.ac.uk.

Hannah M. Rowland, Email: hrowland@ice.mpg.de.

Data accessibility

Data are available in the Open Research Data Repository of the Max Planck Society. PAVO colour analysis pipeline: https://doi.org/10.17617/3.GIXTT3 [66].

Data on oxidative state markers and coloration of monarch butterflies: https://doi.org/10.17617/3.YC1BR4 [67].

Data are provided in the electronic supplementary material [68].

Authors' contributions

J.D.B.: conceptualization, data curation, funding acquisition, methodology, project administration, resources, writing—original draft; H.M.R.: data curation, formal analysis, investigation, methodology, visualization, writing—original draft; C.M.: data curation, investigation; M.P.S.: conceptualization, methodology, writing—review and editing; G.D.R.: conceptualization, methodology, writing—review and editing; J.A.E.: conceptualization, visualization, writing—review and editing; L.P.B.: conceptualization, investigation, methodology, resources.

All authors gave final approval for publication and agreed to be held accountable for the work performed therein.

Conflict of interest declaration

We declare we have no competing interests.

Funding

Open access funding provided by the Max Planck Society.

J.D.B. was supported by a Royal Society University Research Fellowship. H.M.R., G.D.R. and M.P.S. were supported by NERC (NE/D010 667/1) during data collection, and H.M.R. was supported by a Junior Research Fellowship from Churchill College, Cambridge and the Max Planck Society during data analysis and manuscript preparation.

References

  • 1.Blum MS. 1981. Chemical defenses of arthropods. New York, NY: Academic Press. [Google Scholar]
  • 2.Ruxton GD, Allen WL, Sherratt TN, Speed MP. 2018. Avoiding attack. The evolutionary ecology of crypsis, aposematism, and mimicry. Oxford, UK: Oxford University Press. [Google Scholar]
  • 3.Summers K, Clough ME. 2001. The evolution of coloration and toxicity in the poison frog family (Dendrobatidae). Proc. Natl Acad. Sci. USA 98, 6227-6232. ( 10.1073/pnas.101134898) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Santos JC, Cannatella DC. 2011. Phenotypic integration emerges from aposematism and scale in poison frogs. Proc. Natl Acad. Sci. USA 108, 6175-6180. ( 10.1073/pnas.1010952108) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Maan ME, Cummings ME. 2009. Sexual dimorphism and directional sexual selection on aposematic signals in a poison frog. Proc. Natl Acad. Sci. USA 106, 19 072-19 077. ( 10.1073/pnas.0903327106) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Cortesi F, Cheney KL. 2010. Conspicuousness is correlated with toxicity in marine opisthobranchs. J. Evol. Biol. 23, 1509-1518. ( 10.1111/j.1420-9101.2010.02018.x) [DOI] [PubMed] [Google Scholar]
  • 7.Bezzerides AL, McGraw KJ, Parker RS, Husseini J. 2007. Elytra color as a signal of chemical defense in the Asian ladybird beetle Harmonia axyridis. Behav. Ecol. Sociobiol. 61, 1401-1408. ( 10.1007/s00265-007-0371-9). [DOI] [Google Scholar]
  • 8.Winters AE, Stevens M, Mitchell C, Blomberg SP, Blount JD. 2014. Maternal effects and warning signal honesty in eggs and offspring of an aposematic ladybird beetle. Funct. Ecol. 28, 1187-1196. ( 10.1111/1365-2435.12266) [DOI] [Google Scholar]
  • 9.Vidal-Cordero JM, Moreno-Rueda G, López-Orta A, Marfil-Daza C, Ros-Santaella JL, Ortiz-Sánchez FJ. 2012. Brighter-colored paper wasps (Polistes dominula) have larger poison glands. Front. Zool. 9, 20. ( 10.1186/1742-9994-9-20) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Summers K, Speed MP, Blount JD, Stuckert AMM. 2015. Are aposematic signals honest? A review. J. Evol. Biol. 28, 1583-1599. ( 10.1111/jeb.12676) [DOI] [PubMed] [Google Scholar]
  • 11.Leimar O, Enquist M, Sillentullberg B. 1986. Evolutionary stability of aposematic coloration and prey unprofitability: a theoretical-analysis. Am. Nat. 128, 469-490. ( 10.1086/284581) [DOI] [Google Scholar]
  • 12.Speed MP, Ruxton GD. 2007. How bright and how nasty: explaining diversity in warning signal strength. Evolution 61, 623-635. ( 10.1111/j.1558-5646.2007.00054.x) [DOI] [PubMed] [Google Scholar]
  • 13.Ruxton GD, Speed MP, Broom M. 2009. Identifying the ecological conditions that select for intermediate levels of aposematic signalling. Evol. Ecol. 23, 491-501. ( 10.1007/s10682-008-9247-3) [DOI] [Google Scholar]
  • 14.Darst CR, Cummings ME, Cannatella DC. 2006. A mechanism for diversity in warning signals: conspicuousness versus toxicity in poison frogs. Proc. Natl. Acad. Sci. USA 103, 5852-5857. ( 10.1073/pnas.060062510) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Wang IJ. 2011. Inversely related aposematic traits: reduced conspicuousness evolves with increased toxicity in a polymorphic poison-dart frog. Evolution 65, 1637-1649. ( 10.1111/j.1558-5646.2011.01257.x) [DOI] [PubMed] [Google Scholar]
  • 16.Blount JD, Speed MP, Ruxton GD, Stephens PA. 2009. Warning displays may function as honest signals of toxicity. Proc. R. Soc. B. 276, 871-877. ( 10.1098/rspb.2008.1407) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Holloway GJ, de Jong PW, Brakefield PM, de Vos H. 1991. Chemical defence in ladybird beetles (Coccinellidae). I. Distribution of coccinelline and individual variation in defence in 7-spot ladybirds (Coccinella septempunctata). Chemoecology 2, 7-14. ( 10.1007/bf01240660) [DOI] [Google Scholar]
  • 18.Ahmad S. 1992. Biochemical defence of pro-oxidant plant allelochemicals by herbivorous insects. Biochem. Syst. Ecol. 20, 269-296. ( 10.1016/0305-1978(92)90040-K) [DOI] [Google Scholar]
  • 19.Holen OH, Svennungsen TO. 2012. Aposematism and the Handicap Principle. Am. Nat. 180, 629-641. ( 10.1086/667890) [DOI] [PubMed] [Google Scholar]
  • 20.Malcolm SB, Brower LP. 1989. Evolutionary and ecological implications of cardenolide sequestration in the monarch butterfly. Experientia 45, 284-295. ( 10.1007/BF01951814) [DOI] [Google Scholar]
  • 21.Agrawal AA, Böröczky K, Haribal M, Hastings AP, White RA, Jiang RW, Duplais C. 2021. Cardenolides, toxicity, and the costs of sequestration in the coevolutionary interaction between monarchs and milkweeds. Proc. Natl Acad. Sci. USA 118, e2024463118. ( 10.1073/pnas.2024463118) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Tao L, Berns AR, Hunter MD. 2014. Why does a good thing become too much? Interactions between foliar nutrients and toxins determine performance of an insect herbivore. Fun. Ecol. 28, 190-196. ( 10.1111/1365-2435.12163) [DOI] [Google Scholar]
  • 23.Freedman MG, Choquette SL, Ramírez SR, Strauss SY, Hunter MD, Vannette RL. 2021. Population-specific patterns of toxin sequestration in monarch butterflies from around the world. bioRxiv . ( 10.1101/2021.10.15.464593) [DOI]
  • 24.Seiber JN, Benson JM, Roeske CA, Brower LP. 1975. Qualitative and quantitative aspects of milkweed cardenolide sequestering by monarch butterflies. Abstr. Pap. Am. Chem. Soc. 170, 103-103. [Google Scholar]
  • 25.Roeske CN, Seiber JN, Brower LP, Moffitt CM. 1976. Milkweed cardenolides and their comparative processing by monarch butterflies (Danaus plexippus L.). In Biochemical interaction between plants and insects (eds Wallace JW, Mansell RL), pp. 93-167. Boston, MA: Springer. [Google Scholar]
  • 26.Faldyn MJ, Hunter MD, Elderd BD. 2018. Climate change and an invasive, tropical milkweed: an ecological trap for monarch butterflies. Ecology 99, 1031-1038. ( 10.1002/ecy.2198) [DOI] [PubMed] [Google Scholar]
  • 27.Agrawal A. 2017. Monarchs and milkweed: a migrating butterfly, a poisonous plant, and their remarkable story of coevolution. Princeton, NJ: Princeton University Press. [Google Scholar]
  • 28.Geest EA, Wolfenbarger LL, McCarty JP. 2019. Recruitment, survival, and parasitism of monarch butterflies (Danaus plexippus) in milkweed gardens and conservation areas. J. Insect Conserv. 23, 211-224. ( 10.1007/s10841-018-0102-8) [DOI] [Google Scholar]
  • 29.Malcolm SB, Cockrell BJ, Brower LP. 1989. Cardenolide fingerprint of monarch butterflies reared on common milkweed, Asclepias syriaca L. J. Chem. Ecol. 15, 819-853. ( 10.1007/BF01015180) [DOI] [PubMed] [Google Scholar]
  • 30.Petschenka G, Agrawal AA. 2015. Milkweed butterfly resistance to plant toxins is linked to sequestration, not coping with a toxic diet. Proc. R. Soc. B. 282, 20151865. ( 10.1098/rspb.2015.1865) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Brower LP, Brower JVZ, Corvino JM. 1967. Plant poisons in terrestrial food chain. Proc. Natl Acad. Sci. USA 57, 893-898. ( 10.1073/pnas.57.4.893) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Brower LP. 1969. Ecological chemistry. Sci. Am. 220, 22-29. ( 10.1038/scientificamerican0269-22) [DOI] [PubMed] [Google Scholar]
  • 33.Brower LP, McEvoy PB, Williamson KL, Flannery MA. 1972. Variation in cardiac glycoside content of monarch butterflies from natural populations in eastern North America. Science 177, 426-429. ( 10.1126/science.177.4047.426) [DOI] [PubMed] [Google Scholar]
  • 34.Züst T, Petschenka G, Hastings AP, Agrawal AA. 2019. Toxicity of milkweed leaves and latex: chromatographic quantification versus biological activity of cardenolides in 16 Asclepias species. J. Chem. Ecol. 45, 50-60. ( 10.1007/s10886-018-1040-3) [DOI] [PubMed] [Google Scholar]
  • 35.Soule AJ, Decker LE, Hunter MD. 2020. Effects of diet and temperature on monarch butterfly wing morphology and flight ability. J. Insect Conserv. 24, 961-975. ( 10.1007/s10841-020-00267-7) [DOI] [Google Scholar]
  • 36.Woods EC, Hastings AP, Turley NE, Heard SB, Agrawal AA. 2012. Adaptive geographical clines in the growth and defense of a native plant. Ecol. Monogr. 82, 149-168. ( 10.1890/11-1446.1) [DOI] [Google Scholar]
  • 37.Freedman MG, Jason C, Ramírez SR, Strauss SY. 2020. Host plant adaptation during contemporary range expansion in the monarch butterfly. Evolution 74, 377-391. ( 10.1111/evo.13914) [DOI] [PubMed] [Google Scholar]
  • 38.Pocius VM, Debinski DM, Pleasants JM, Bidne KG, Hellmich RL, Brower LP. 2017. Milkweed matters: monarch butterfly (Lepidoptera: Nymphalidae) survival and development on nine midwestern milkweed species. Environ. Entomol. 46, 1098-1105. ( 10.1093/ee/nvx137) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Zalucki MP, Brower LP. 1992. Survival of first instar larvae of Danaus plexippus (Lepidoptera: Danainae) in relation to cardiac glycoside and latex content of Asclepias humistrata (Asclepiadaceae). Chemecology. 3, 81-93. ( 10.1007/BF01245886) [DOI] [Google Scholar]
  • 40.Blount JD, Pike TW. 2012. Deleterious effects of light exposure on immunity and sexual coloration in birds. Fun. Ecol. 26, 37-45. ( 10.1111/j.1365-2435.2011.01926.x) [DOI] [Google Scholar]
  • 41.Malcolm SB, Zalucki MP. 1996. Milkweed latex and cardenolide induction may resolve the lethal plant defence paradox. In Proc. of the 9th Int. Symp. on Insect–Plant Relationships (eds Städler E, Rowell-Rahier M, Bauer R), pp. 193-196. Dordrecht, The Netherlands: Springer. [Google Scholar]
  • 42.Rasmann S, Agrawal AA, Cook SC, Erwin AC. 2009. Cardenolides, induced responses, and interactions between above- and belowground herbivores of milkweed (Asclepias spp.). Ecology 90, 2393-2404. ( 10.1890/08-1895.1) [DOI] [PubMed] [Google Scholar]
  • 43.Fink LS, Brower LP, Waide RB, Spitzer PR. 1983. Overwintering monarch butterflies as food for insectivorous birds in Mexico. Biotropica 15, 151-153. ( 10.2307/2387962) [DOI] [Google Scholar]
  • 44.Vorobyev M, Osorio D. 1998. Receptor noise as a determinant of colour thresholds. Proc. R. Soc. B. 265, 351-358. ( 10.1098/rspb.1998.0302) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Maia R, Gruson H, Endler JA, White TE. 2019. pavo 2: New tools for the spectral and spatial analysis of colour in r. Methods Ecol. Evol. 10, 1097-1107. ( 10.1111/2041-210X.13174) [DOI] [Google Scholar]
  • 46.Hart NS, Partridge JC, Cuthill IC, Bennett ATD. 2000. Visual pigments, oil droplets, ocular media and cone photoreceptor distribution in two species of passerine bird: the blue tit (Parus caeruleus L.) and the blackbird (Turdus merula L.). J. Comp. Physiol. A. 186, 375-387. ( 10.1007/s003590050437) [DOI] [PubMed] [Google Scholar]
  • 47.Silvasti SA, Valkonen JK, Nokelainen O. 2021. Behavioural thresholds of blue tit colour vision and the effect of background chromatic complexity. Vision Res. 182, 46-57. ( 10.1016/j.visres.2020.11.013) [DOI] [PubMed] [Google Scholar]
  • 48.Osorio D, Vorobyev M. 2005. Photoreceptor spectral sensitivities in terrestrial animals: adaptations for luminance and colour vision. Proc. R. Soc. B. 272, 1745-1752. ( 10.1098/rspb.2005.3156) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Lenth RV. 2009. Response-surface methods in R, Using rsm. J. Stat. Softw. 32, 1-17. ( 10.18637/jss.v032.i07) [DOI] [Google Scholar]
  • 50.Erickson JM. 1973. The utilization of various Asclepias species by larvae of the monarch butterfly, Danaus plexippus. Psyche 80, 028693. ( 10.1155/1973/28693) [DOI] [Google Scholar]
  • 51.Zalucki MP, Brower LP, Alonso A. 2001. Detrimental effects of latex and cardiac glycosides on survival and growth of first-instar monarch butterfly larvae Danaus plexippus feeding on the sandhill milkweed Asclepias humistrata. Ecol. Entomol. 26, 212-224. ( 10.1046/j.1365-2311.2001.00313.x) [DOI] [Google Scholar]
  • 52.Guilford T, Dawkins MS. 1993. Are warning colors handicaps? Evolution 47, 400-416. ( 10.1111/j.1558-5646.1993.tb02102.x) [DOI] [PubMed] [Google Scholar]
  • 53.Hill GE. 2011. Condition-dependent traits as signals of the functionality of vital cellular processes. Ecol. Lett. 14, 625-634. ( 10.1111/j.1461-0248.2011.01622.x) [DOI] [PubMed] [Google Scholar]
  • 54.Costantini D, Fanfani A, Dell'omo G. 2008. Effects of corticosteroids on oxidative damage and circulating carotenoids in captive adult kestrels (Falco tinnunculus). J. Comp. Physiol. B. 178, 829-835. ( 10.1007/s00360-008-0270-z) [DOI] [PubMed] [Google Scholar]
  • 55.Harborne JB, Williams CA. 2001. Anthocyanins and other flavonoids. Nat. Prod. Rep. 18, 310-333. ( 10.1039/b006257j) [DOI] [PubMed] [Google Scholar]
  • 56.Enayati AA, Ranson H, Hemingway J. 2005. Insect glutathione transferases and insecticide resistance. Insect Mol. Biol. 14, 3-8. ( 10.1111/j.1365-2583.2004.00529.x) [DOI] [PubMed] [Google Scholar]
  • 57.Ito S, Prota G. 1977. A facile one-step synthesis of cysteinyldopas using mushroom tyrosinase. Experientia. 33, 1118-1119. ( 10.1007/bf01946005) [DOI] [PubMed] [Google Scholar]
  • 58.Shamim G, Ranjan KS, Pandey MD, Ramani R. 2014. Biochemistry and biosynthesis of insect pigments. Eur. J. Entomol. 111, 149-164. ( 10.14411/eje.2014.021) [DOI] [Google Scholar]
  • 59.Costantini D, Verhulst S. 2009. Does high antioxidant capacity indicate low oxidative stress? Fun. Ecol. 23, 506-509. ( 10.1111/j.1365-2435.2009.01546.x) [DOI] [Google Scholar]
  • 60.Santiago C, Green NF, Hamilton N, Endler JA, Osorio DC, Marshall NJ, Cheney KL. 2020. Does conspicuousness scale linearly with colour distance? A test using reef fish. Proc. R. Soc. B. 287, 20201456. ( 10.1098/rspb.2020.1456) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Blount JD, Rowland HM, Drijfhout FP, Endler JA, Inger R, Sloggett JJ, Hurst GDD, Hodgson DJ, Speed MP. 2012. How the ladybird got its spots: effects of resource limitation on the honesty of aposematic signals. Fun. Ecol. 26, 334-342. ( 10.1111/j.1365-2435.2012.01961.x) [DOI] [Google Scholar]
  • 62.Jones PL, Petschenka G, Flacht L, Agrawal AA. 2019. Cardenolide intake, sequestration, and excretion by the monarch butterfly along gradients of plant toxicity and larval ontogeny. J. Chem. Ecol. 45, 264-277. ( 10.1007/s10886-019-01055-7) [DOI] [PubMed] [Google Scholar]
  • 63.Brower LP, Nelson CJ, Seiber JN, Fink LS, Bond C. 1988. Exaptation as an alternative to coevolution in the cardenolide-based chemical defense of monarch butterflies (Danaus plexippus L.) against avian predators. In Chemical mediation of coevolution (ed. Spencer KC). London, UK: Harcourt Brace Jovanovich. [Google Scholar]
  • 64.Bowers MD. 1992. The evolution of unpalatability and the cost of chemical defense in insects. In Insect chemical ecology: an evolutionary approach (eds Roitberg BD, Isman MB), pp. 216-244. New York, NY: Chapman & Hall. [Google Scholar]
  • 65.Pokharel P, Steppuhn A, Petschenka G. 2021. Dietary cardenolides enhance growth and change the direction of the fecundity–longevity trade-off in milkweed bugs (Heteroptera: Lygaeinae). Ecol. Evol. 11, 18 042-18 054. ( 10.1002/ece3.8402) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Rowland H. 2022. PAVO pipeline for analysis of monarch butterfly wing colour. Edmond. ( 10.17617/3.GIXTT3) [DOI]
  • 67.Rowland H. 2022. Data on oxidative state markers and colouration of monarch butterflies. Edmond. ( 10.17617/3.YC1BR4) [DOI]
  • 68.Blount JD, Rowland HM, Mitchell C, Speed MP, Ruxton GD, Endler JA, Brower LP. 2023. The price of defence: toxins, visual signals and oxidative state in an aposematic butterfly. Figshare. ( 10.6084/m9.figshare.c.6373165) [DOI] [PMC free article] [PubMed]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Citations

  1. Rowland H. 2022. PAVO pipeline for analysis of monarch butterfly wing colour. Edmond. ( 10.17617/3.GIXTT3) [DOI]
  2. Rowland H. 2022. Data on oxidative state markers and colouration of monarch butterflies. Edmond. ( 10.17617/3.YC1BR4) [DOI]
  3. Blount JD, Rowland HM, Mitchell C, Speed MP, Ruxton GD, Endler JA, Brower LP. 2023. The price of defence: toxins, visual signals and oxidative state in an aposematic butterfly. Figshare. ( 10.6084/m9.figshare.c.6373165) [DOI] [PMC free article] [PubMed]

Data Availability Statement

Data are available in the Open Research Data Repository of the Max Planck Society. PAVO colour analysis pipeline: https://doi.org/10.17617/3.GIXTT3 [66].

Data on oxidative state markers and coloration of monarch butterflies: https://doi.org/10.17617/3.YC1BR4 [67].

Data are provided in the electronic supplementary material [68].


Articles from Proceedings of the Royal Society B: Biological Sciences are provided here courtesy of The Royal Society

RESOURCES