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ORIGINAL RESEARCH article

Front. Plant Sci., 30 March 2022
Sec. Functional Plant Ecology

Florivory and Pollination Intersection: Changes in Floral Trait Expression Do Not Discourage Hummingbird Pollination

  • 1Postgraduate Program in Biological Sciences (Botany), Institute of Biosciences, São Paulo State University, Botucatu, Brazil
  • 2Laboratory of Ecology and Evolution of Plant-Animal Interactions, Institute of Biosciences, São Paulo State University, Botucatu, Brazil
  • 3Department of Environment and Biodiversity, Paris Lodron University of Salzburg, Salzburg, Austria

Many flowers are fed on by florivores, but we know little about if and how feeding on flowers affects their visual and chemical advertisement and nectar resource, which could disrupt pollination. Here, we investigated if damages caused by florivores compromise a Neotropical hummingbird pollination system, by modifying the floral advertisements and the nectar resource. We surveyed natural florivory levels and patterns, examined short-term local effects of floral damages caused by the most common florivore, a caterpillar, on floral outline, intra-floral colour pattern and floral scent, as well as on the amount of nectar. Following, we experimentally tested if the most severe florivory pattern affected hummingbird pollination. The feeding activity of the most common florivore did not alter the intra-floral colour pattern, floral scent, and nectar volume, but changed the corolla outline. However, this change did not affect hummingbird pollination. Despite visual floral cues being important for foraging in hummingbirds, our results emphasise that changes in the corolla outline had a neutral effect on pollination, allowing the maintenance of florivore–plant–pollinator systems without detriment to any partner.

Introduction

Our knowledge is growing fast concerning the visual and chemical signal diversity involved in plant–pollinator communication (Leonard and Masek, 2014; Schaefer and Ruxton, 2015; Kantsa et al., 2017; Leonard and Francis, 2017). However, we know little about if and how florivores, by feeding on flowers, affect these signals and consequently the visual (Johnson et al., 1995; Krupnick et al., 1999) and chemical advertisements (McCall and Irwin, 2006; Lucas-Barbosa et al., 2011; Späthe, 2013; Vega-Polanco et al., 2020), which could disrupt the communication between flowers and pollinators. Indeed, there is accumulated evidence that pollinators do respond to damages caused by florivores, for example, performing less visits (Krupnick et al., 1999; Mothershead and Marquis, 2000; Pohl et al., 2006; McCall, 2008; Tsuji et al., 2016; Muola et al., 2017), which has negative effects on pollination success (Kessler and Halitschke, 2009; Haas and Lortie, 2020).

The effects of florivore feeding can be local, restricted to a single flower, and/or systemic, involving the activation of phytohormonal signaling pathways (Chrétien et al., 2018; Rusman et al., 2019a). So far, most studies have focused on the outcome of florivory on plant fitness (Haas and Lortie, 2020; Boaventura et al., 2022). There is, however, limited knowledge regarding which specific changes in floral advertisement, being them locally or systemically elicited, act as triggers for behavioral responses displayed by pollinators. Indeed, we do not know if florivore-induced changes in a single floral cue are enough to affect pollinator behavior in natural systems or if changes in multiple floral cues are required, as pollinators usually integrate between visual and olfactory cues (Leonard and Masek, 2014; Junker and Parachnowitsch, 2015).

Among such pollinators that use both visual and olfactory cues when looking for flowers are hummingbirds (Altshuler and Nunn, 2001; Hurly and Healy, 2002; Kessler et al., 2008). They are highly specialised pollinators in the Neotropics (Stiles, 1981; Zanata et al., 2017) with a well-developed visual system (Hickman and Robert, 1993; Pritchard et al., 2017; Tyrrell et al., 2018 and references therein). Indeed, there is experimental evidence that hummingbirds recognise specific floral shapes and prefer visiting those associated to their bill shape and size (Maglianesi et al., 2015; Rico-Guevara et al., 2021). As florivory implies damage to the flowers, which affects flower integrity and shape, we expect that these changes per se could be enough to interfere in the visual communication between flowers and hummingbirds, causing hummingbirds to neglect damaged flowers. Even though there was a long-held belief that olfaction is not involved in the location and selection of flowers by hummingbirds, it is meanwhile known that they can perceive (Steiger et al., 2008; Wester and Lunau, 2017) and respond (Kessler et al., 2008) to floral volatile compounds. By feeding on floral tissue that is potentially involved in the biosynthesis and emission of floral scent, florivores might affect the total amount of scent emitted by flowers (Zangerl and Berenbaum, 2009; Tunes and Guimarães, 2020) and the chemical composition of floral scent (Lucas-Barbosa et al., 2013; Farré-Armengol et al., 2015). Moreover, these florivory-induced changes in floral scent can be expressed exclusively locally, on the damaged flower itself, or systemically, leading to changes in the damaged flower as well as in undamaged flowers of the same plant (Dicke et al., 1990; Turlings and Tumlinson, 1992; Potting et al., 1995; Röse et al., 1996; Lucas-Barbosa et al., 2013). In addition to the advertisement, florivory might also have effects on floral resources. Although it is not expected that florivores deplete the nectar resource used by hummingbirds, since they often feed on floral tissues other than nectaries and not on nectar itself (Xiao et al., 2021), the injuries caused by florivores could interfere with nectar secretion by altering plant physiological pathways. In fact, by feeding on plant tissues, herbivores can alter jasmonate pathways, which are involved in both plant defense (Xie et al., 1998; Chrétien et al., 2018) and nectar secretion (Radhika et al., 2010). Therefore, we considered that florivores could act indirectly on floral nectar resources, beyond merely acting on floral advertisements. Thus, as flowers are the pollination units that are recognised and pursued by pollinators, direct and indirect changes that happen during a flower lifetime might have significant consequences for the pollination process. In this study, we focused on short-term local effects of florivory on floral advertisement, floral resource, and pollination. Specifically, we aimed to elucidate if florivory affects the visual and olfactory advertisement, the nectar resource, and finally the pollination success in a hummingbird-pollinated plant. Therefore, we investigated (i) natural florivory levels and florivores (ii) if and which florivory-induced local changes occur in floral visual and olfactory advertisements, and (iii) if florivory affects nectar volume. Finally, (iv) we simulated florivory-induced floral changes and experimentally tested if they discourage hummingbird pollination.

Materials and Methods

Focal Plant Species, Its Pollinators, and Study Site

Pyrostegia venusta (Ker-Gawl.) Miers (Bignoniaceae) is a neotropical vine (Figure 1A) that occurs from the northeast coast of Brazil to the northeast of Argentina (approximately 35°–58° W and 5°–30° S; Pool, 2008). The flowering period of this plant species occurs from April to October, with a peak in July/August (our study period), when there was the highest number of flowers opening per day (Rossatto and Kolb, 2011). This species shows terminal or axillary panicles (Figure 1B); zygomorphic flowers with a long tubular orange corolla presenting curved-back lobes; four exerted didynamous stamens; a syncarpous gynoecium with bilocular ovary, long style, and bilabiate stigma (Figure 1C) with lobes that close following mechanical stimulation (Pool, 2008; Singh et al., 2009). Flower anthesis starts at approximately 06:30 h and lasts for approximately 48 h (Galetto et al., 1994). Pyrostegia venusta is self-compatible (Gobatto-Rodrigues and Stort, 1992), with hermaphroditic and protandrous flowers (Pool, 2008) that show diverse degrees of approach herkogamy. Most flowers present the gynoecium longer than the androecium, whereas others do not (Pool, 2008; Tunes and Guimarães, 2020). We deposited a voucher specimen in the Herbarium BOTU ‘Irina Delanova de Gemtchujnicov’ (voucher number 30788). The authorisation for collection of biological samples is registered on Sisgen under #A90A83C.

FIGURE 1
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Figure 1. Pyrostegia venusta. (A) Flowering plant. Scale bar: 20 cm. (B) Inflorescence with undamaged open flowers and flower buds. Scale bar: 2.5 cm. (C) Recently opened flower. Scale bar: 0.8 cm. (D) Natural floral damage corresponding to 51–60% of the corolla. Scale bar: 0.5 cm.

Floral nectar is sucrose-rich, with a concentration of 28% of sugars (Galetto et al., 1994). It is consumed by hummingbird pollinators, such as Eupetomena macroura, Phaethornis squalidus, P. pretrei (Leone, 2011), Chlorostilbon lucidus (previously C. aureoventris (Grantsau, 1988)), and Sappho sparganura (Galetto et al., 1994). Even though this plant species is self-compatible, and some flowers are capable of autonomous selfing and of being self-pollinated by small bees, hummingbird pollination is crucial for plant reproduction, especially when considering that most of the flowers have approach herkogamy and only hummingbirds are capable of transferring pollen among those flowers (Tunes and Guimarães, 2020).

This study was performed in a natural population growing at the edge of a seasonal tropical forest fragment (at 22°53’ S and 48°29’ W), in Botucatu municipality, São Paulo state, Brazil. To evaluate the effects of florivory on floral traits and to assess the effect of experimentally simulated floral damages on hummingbird pollination, we randomly assigned different individuals to the investigation of each trait (floral colour pattern, floral scent, floral nectar) and for the field experiment, totaling 62 different plants.

Natural Incidence of Florivory and Florivores Associated to It

We randomly designated P. venusta plants to assess the percentage of flowers with natural damages to the corolla. We sampled all the first- and second-day flowers from 80% of the plants in the population (n = 935 flowers, from 58 plants). Then, we visually estimated the percentage of corolla removal in each damaged flower and classified the flowers into one of the following categories (adapted from Dirzo and Domingues, 1995): 1–3%, 4–5%, 6–10%, 11–20%, 21–30%, 31–40%, 41–50%, and 51–60% of removed tissue. Additionally, we performed 40 h of flower observations in ten different days, during the morning (15 h), afternoon (15 h), and night (10 h), to identify the animals responsible for each type of damage registered on the flowers.

Evaluating the Effects of Natural Florivory on Floral Traits

We evaluated the effect of the most severe damage (category of 51 to 60% of corolla removal) caused by a caterpillar (the most common florivore) on floral outline, intra-floral colour pattern and floral scent, as well as on the amount of nectar.

Floral Outline

Floral outline (sensu Herrera, 1993) may act as a signal from the perspective of a hummingbird when hovering in front of a flower. Florivores, by feeding on flowers, have the potential to change the floral frontal outline. Here, we investigate if the most common florivore, by feeding on flowers, changes the frontal floral outline, which could lead hummingbirds to neglect damaged flowers.

Intra-floral Colour Pattern

When hummingbirds are hovering in front of P. venusta flowers, they see the yellowish anthers and stigma against the inner surface of the orange upper petal lobes of the corolla, which act as background (Figure 1C). However, when the upper portion of the corolla is removed by florivores, the hummingbirds will see the anthers and stigma against the inner portion of the remaining lower half of the corolla tube (Figure 1D). Thus, in damaged flowers, a different flower portion acts as the background for the reproductive structures. Thus, to accurately determine if florivory changes intra-floral colour pattern, we associated the human-visible colour patterns with UV photography from five intact and five damaged flowers (n = 5 plants, each containing both types of flowers), which allowed us to see if there was any UV pattern that could be modified by florivory. After stablishing the floral portions/structures responsible for creating the intra-floral colour patterns, we measured the spectral reflectance of the anthers, the stigma, the upper petal lobes, and the inner portion of the lower half of the corolla tube (Supplementary Figure 1) of 20 flowers (n = 8 plants). Firstly, we measured the reflectance of the stigma, anthers, and superior corolla lobes of undamaged flowers. Then, we manually caused the damage in the same flowers (the same severe damage caused by the most common florivore and used for the pollination experiments, Figure 1D) and measured the reflectance of the inner portion of the lower half of the corolla tube. This is the portion of the corolla that will contrast against the stigma and anthers in the damaged flowers. For UV photography, we used a camera with a modified sensor and lens (Canon EOS Rebel T3i with a 50 mm lens) that only captures UV light from 340 to 400 nm. We illuminated the flowers with a hand-held UV light source, which emits light from 315 to 405 nm, which corresponds to the spectral sensitivity of birds’ UV photoreceptors (Herrera et al., 2008; Ödeen and Håstad, 2010). For spectral reflectance, we used a spectrophotometer (Ocean Optics Jaz-EL200 UV–VIS) and collected reflectance data from 300–700 nm. A deuterium–halogen lamp, that emitted light in the range of 215 to 1700 nm, was used as the light source. We used the reflectance of a ‘diffuse Spectralon reflectance standard’ as white standard and the reflectance obtained from inside a black chamber as black standard, according to Lunau et al. (2011). We took all measurements at 45° in relation to the flower floral surface.

To provide a graphical representation of floral colour as perceived by hummingbirds, we calculated the colour loci of each floral part in the tetrahedron colour space model (Vorobyev et al., 1998). We used the D65 standard daylight illumination (Wyszecki and Stiles, 1982) and a standard function of green leaves (AV 400) as the background. To display the contrast as seen by hummingbirds in intact flowers, we calculated the chromatic and achromatic contrasts of the anthers and of the stigma against the upper petal lobes. To display the contrast in damaged flowers, we calculated the chromatic and achromatic contrasts of the anthers and of the stigma against the upper internal portion of the corolla tube. To evaluate if hummingbirds could perceive the contrast between these floral parts, we considered 1.00 just noticeable differences (JNDs) as a minimum threshold for colour discrimination by hummingbirds (Vorobyev et al., 1998). Thus, any contrast higher than 1.00 JND was considered as perceivable by hummingbirds. We used R v. 4.0.2 (R Core Team, 2020) with the additional packages pavo (Maia et al., 2019) and rgl (Adler, 2020) to create and plot the tetrahedron colour space model and to calculate the chromatic and achromatic contrasts of the stigma and of the anthers against the corolla, as perceived by hummingbirds.

Floral Scent

We verified if florivory by the most common florivores in nature affects local scent emission in terms of the total amount of floral scent, the relative scent composition, and qualitative scent properties during the flower lifespan. Therefore, we bagged intact pre-anthesis buds to ensure that pollinators or other florivores could not visit them. When the flowers opened, we inserted in one flower per plant a florivore into the bag. We kept the florivores inside the bags, freely feeding on the flowers overnight. In the morning of the next day, we removed them and sampled the VOCs (volatile organic compounds) emitted by the flowers (ndamaged = 5 flowers from 5 different plants). The other flowers (ncontrol = 5 flowers from 3 different plants), which remained bagged throughout the experiment, served as positive control, and the emitted scents were also sampled in the morning of the second day (Figure 2). The florivores used in this experiment were Lycaenidae caterpillars, which were the most common florivores found in this system. We collected caterpillars at third and fourth instars from other individuals of the same population and stored them for a few hours in voile bags before transferring them to the flowers to start the experiment.

FIGURE 2
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Figure 2. Experimental design used to investigate short-term local changes in floral scent due to florivory by a lycaenid caterpillar. Caterpillar image from Biorender.com.

We collected floral and vegetative (used as negative control) VOC samples following the protocol by Dötterl et al. (2005). We enclosed the flowers or leaves in 12 × 8 cm polyethylene oven bags 10 min before sampling. The VOCs that accumulated inside a bag were collected for 1 h in an adsorbent trap connected to a membrane pump that generated an airflow of 200 ml/min. The adsorbent traps were made from quartz microtubes with approximately 15 mm of length by 2 mm of internal tube diameter. These traps were filled with a mixture of 1.5 mg Tenax-TA (60–80 mesh) and 1.5 mg of Carbotrap B (20–40 mesh, both Supelco). We stored the samples at −20°C until analysis. We analysed the VOC samples on a TD-20 automated thermo desorption system (Shimadzu) coupled to a QP2010 Ultra EI GC/MS (gas chromatograph coupled to a mass spectrometer, Shimadzu) equipped with a ZB-5 fused silica column (60 m long, 0.25 mm of inner diameter, 0.25 μm of film thickness) and maintained a constant 1.5 ml/min flow of helium as the carrier gas. The injector temperature was 200°C and the samples were injected in split mode 1:3. The oven temperature started at 40°C, then increased by 6°C/min to 250°C, at which it kept constant for 1 min. The MS interface was set at 250°C. Mass spectra were taken at 70 eV (in EI mode), with a scanning range of 30–350 m/z. The data were analysed using the GCMSolution package, Version 4.41 (Shimadzu). We performed the tentative identification of the volatile compounds present in each sample by comparison of Kovats retention indices (KRI, based on a series of n-alkanes) and mass spectra to data available in the databases ADAMS (Adams, 2007), ESSENTIALOILS-23P, FFNSC 2, Wiley 9 and Nist11. If possible, compound identities were confirmed by authentic reference standards available at the Plant Ecology lab of the Paris Lodron University of Salzburg. Compounds detected in similar amounts in leaf controls and flowers were excluded from the analyses. We only considered compounds that were present in more than twice the amount in flowers than in leaves. For quantitative analysis of VOCs, we injected 100 ng each of ca. 150 components, among them monoterpenes, aliphatic, and aromatic compounds, into the GC/MS system. We used the mean of the peak areas (total ion current) of these compounds to estimate the total amount of scent available in the scent samples (Etl et al., 2016).

Floral Resource

To check if florivory affected the amount of nectar, we bagged 80 floral buds 1 day before anthesis from 11 plants (n = 3–11 flowers/plant). We assigned each bud to one of two treatments: (i) intact buds, and (ii) buds previously naturally attacked by the main florivore. A single plant contained both treatments. Approximately 12 h after flower opening (ca. 18:00 h), we withdrew the accumulated nectar and measured its volume using 50 μl microcapillary tubes (Galetto and Bernardello, 2005).

Effect of the Experimentally Simulated Floral Damages on Hummingbird Pollination

To obtain a large enough sample size to investigate the possible effects of floral damages on hummingbird pollination, we caused the damages manually. Additionally, by causing damages manually we could ensure that all the flowers presented to the hummingbirds showed a standard damage, which would be impossible to guarantee if we used flowers naturally damaged by florivores. However, experimental manipulations do not always incur in the same physiological responses as feeding by natural herbivores (Baldwin, 1990). Therefore, prior to performing this experiment, we controlled for possible effects of experimentally simulated floral damages on floral scent and floral nectar, which are traits that could display a different physiological response to mechanical simulation of damages than that triggered by florivores. For that, we removed the half-upper portion of the corolla tube, replicating the most severe damage caused by the most common natural florivore, a caterpillar (Figure 1D). Then, we collected scent samples from manually damaged flowers (n = 3 flowers from 3 plants) and compared them to undamaged flowers (n = 3 flowers from 3 plants) using the same method described in section 2.3.3. Moreover, we sampled nectar volume of manually damaged flowers (n = 38 flowers from 11 plants) and compared them to undamaged flowers (n = 49 flowers from 11 plants) using the same method described in section 2.3.4.

We found that experimentally damaged flowers did not differ in their scent from intact flowers [total amount: Pseudo-F(1, 2) = 1.30; p = 0.43; relative amount: Pseudo-F(1, 2) = 0.87; p = 0.52; presence/absence: Pseudo-F(1, 2) = 0.9; p = 0.53], nor in nectar volume (F = 0.006; p = 0.9367). Therefore, in our study system, manually caused damages did not lead to physiological responses in terms of scent or nectar production.

Additionally, to avoid any possibility of pollination not performed by hummingbirds (Tunes and Guimarães, 2020), we performed the further experiment only with flowers that presented an accentuated approach herkogamy, with the anthers placed below the stigma. We randomly selected 33 plants of the population (3–14 flowers/plant). We submitted the flowers from those plants to one of two treatments: (i) control flowers that were not damaged (n = 97 flowers); and (ii) mechanically simulated floral damage, emulating the most serious damage recorded by the most common natural florivore, a caterpillar (n = 98 flowers; Figure 1D). Each plant contained both treatments in similar amount. We isolated pre-anthesis buds from floral visitors until our manipulations to guarantee that the flowers were all intact at the beginning of the experiment, and randomly assigned the flowers to the two treatments. To experimentally damage the flowers, we used surgical scissors to cut off pieces of the corollas according to the damages naturally caused by Lycaenidae caterpillars (Figure 1D). As we were interested in understanding the effects of florivory on plant–pollinator communication and pollination, we focused on corolla damage, because any damage to reproductive structures would definitely affect plant reproductive success. To ensure that control flowers remained intact, we checked these flowers at the beginning and the end of the experiment; flowers that had any damage at the end of the experiment were discarded and replaced in the subsequent days. We performed the experiments during the flowering peak, through 25 consecutive days, when pollinators and flowers were abundant (July–August). To evaluate the likelihood of a flower receiving hummingbird visits, we used two different and complementary approaches. Initially, we performed focal observations (in person and by video recording) of the pollinator visits (n = 8 plants, 30 h, 2–4 h of observation/plant/turn). We registered approximately two visits per plant per hour in the population at the peak of hummingbird visitation, which occurred from dawn until 09:00 h and from 17:00 until dusk. However, this approach did not work well, as visitation to the focal flowers was extremely low. This issue could be due to the fact that hummingbirds actively avoided patches where the observer was located. We needed to position ourselves and the cameras close to the plants (1.5–2 m from them) in order to clearly assess whether hummingbirds visited an intact or damaged flower. Thus, through this method, we could not obtain a robust data set to statistically compare the visits to each treatment.

To overcome this constraint, we additionally evaluated the presence of pollen deposited onto the stigmas of P. venusta flowers, which is a reliable proxy of a pollinator visit (Ashman et al., 2020). Therefore, we labeled 195 flowers (ncontrol = 97 flowers; ndamaged = 98 flowers) and exposed them to hummingbird visits during the 2 days of anthesis. Following corolla abscission, we collected the stigmas, fixed them in FPA solution (formalin 40%, concentrated propionic acid, ethanol 50%, in volumes of 5:5:90), and stained them with aniline blue and potassium acetate, following the protocol proposed by Dafni et al. (2005). Then, we evaluated the presence/absence of pollen grains adhered to the stigmas’ surfaces under a fluorescence microscope (Zeiss Axioskop 40 Microscope, with AxioVision 4.7.2) equipped with a filter set (of maximum transmission at 365 nm).

Statistical Analysis

We used GLMM with gamma error distribution to evaluate if the removal of a portion of the corolla, due to florivory, lead to a change in the chromatic and achromatic contrasts of the anthers and the stigma against the remaining portion of the corolla, considering the interaction between type of reproductive structure (anthers or stigma) and treatment (before or after damage). Plant and flower were used as random variables. We performed a PERMANOVA (9,999 permutations) to evaluate if the total and relative amounts of floral scent as well as qualitative scent properties differed among treatments (control and damaged flowers), considering plant individual as a random factor, based on Euclidean distances for the total amount of scent, on Bray–Curtis dissimilarities for the relative amount of scent, and on Sørensen dissimilarities for qualitative scent properties (presence and absence of compounds). These three different scent characteristics were analysed as they all might influence floral visitor choices. We performed all PERMANOVA analyses using Primer 6 v. 6.1.15 with PERMANOVA+ v. 1.0.5. We verified if florivory affected nectar volume using GLMM with gamma error distribution, considering treatment as a fixed variable and individual plant as a random variable. We carried out both GLMMs with gamma error distribution in R v. 4.0.2 (R Core Team, 2020) with additional packages: car (Fox and Weisberg, 2019), emmeans (Lenth, 2020), fitdistrplus (Delignette-Muller and Dutang, 2015), ggplot2 (Wickham, 2016), glmmADMB (Fournier et al., 2012; Skaug et al., 2016), lattice (Sarkar, 2008), lme4 (Bates et al., 2015), MASS (Venables and Ripley, 2002), R2admb (Bolker et al., 2020), and viridis (Garnier, 2018). The probability of pollen grains (binary variable) being deposited onto the stigmas was modelled, using GLMM with binomial error distribution, again considering treatment as a fixed variable and individual plant as a random variable. This GLMM was carried out in R v. 4.0.2 (R Core Team, 2020) with standard and additional packages: lme4 (Bates et al., 2015), and nlme (Pinheiro et al., 2018).

Results

Natural Incidence of Florivory and the Florivores Associated to It

We sampled 935 flowers of Pyrostegia venusta (Bignoniaceae), from which 77.4% did not present any damage, while 22.6% showed variable degrees of corolla tissue removal. The most common damage corresponded to the category of 1–3% of corolla removal (registered in 14% of the flowers), followed by the 4–5% of corolla removal (registered in 3.7% of the flowers), then by the 6–10% of corolla removal (1.9% of the flowers) and by the other five categories, corresponding to larger damages, which comprised the remaining 3% of the flowers (less than 1% of the flowers per category).

The grasshopper Schistocerca flavofasciata (yellow-lined grasshopper, Acrididae) consumed the medium dorsal portion of the corolla tube (Figures 3A,B) and small Trigona bees made holes in the corolla tube of floral buds, near the portion where the anthers were placed. Both florivores removed 1–3% of corolla tissues. Caterpillars of Parrhasius polibetes (black-spot hairstreak, Lycaenidae; Figure 3C) were the most common florivore, corresponding to ca. 90% of all the observed florivores in the field. They feed on the corolla and on floral reproductive structures. We observed in the field these caterpillars causing floral damages that belonged to every category, from the category of 1–3% until the category of 51–60% of corolla removal.

FIGURE 3
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Figure 3. Pyrostegia venusta and its florivores. (A) Natural floral damage (arrowhead) with 1–3% of corolla damage. Scale bar: 0.7 cm. (B) Schistocerca flavofasciata (yellow-lined grasshopper, Acrididae) which consumed the flowers leaving bite marks as shown in Figure 1E. Scale bar: 1.3 cm. Photograph by N. M. Gildo. (C) Parrhasius polibetes (black-spot hairstreak, Lycaenidae) caterpillar, which was the most common florivore in P. venusta. Scale bar: 0.4 cm.

Effect of Florivory on Floral Traits

Floral Outline

The only florivore that affected floral outline was the lycaenid caterpillar. Larvae of these butterflies consumed from small to large amounts of the corolla, including the lobes and upper portion of the corolla tube. Therefore, they changed the corolla outline, especially, when we consider the most pronounced levels of florivory, which led to the complete removal of the petal lobes in approximately 0.5% of the flowers (Figures 1D, 4).

FIGURE 4
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Figure 4. Schematic representation of the most pronounced damage caused by a lycaenid caterpillar florivore. The floral tube, the five corolla lobes, stamens and style are represented.

Intra-floral Colour Pattern

The flowers presented no UV reflection/absorption pattern and were UV-absorbing (Supplementary Figure 2). Therefore, the only intra-floral colour pattern present in these flowers was the human-visible pattern between the reproductive structures and the corolla. The chromatic and achromatic contrasts between the anthers/stigma and the corolla lobes in intact flowers are similar to the chromatic and achromatic contrasts between the anthers/stigma and the remaining lower half of the corolla in damaged flowers (Figure 5; p > 0.05; see Supplementary Table 1 for mean values and Supplementary Table 2 for statistical details).

FIGURE 5
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Figure 5. Spectral reflectance of intact and damaged Pyrostegia venusta (Bignoniaceae) flowers (n = 20 flowers from 8 plants) and colours modelled using the tetrahedron vision model for birds. (A,B) Spectral reflectance curves. The lines represent the mean reflectance of the upper petal lobe (UP), the upper internal portion of the corolla tube (UI), the anthers (A) and the stigma (S). The shaded areas represent the standard variation of reflectance measures. (C,D) Tetrahedron vision model for birds. The central grey dots represent the achromatic center; the coloured dots represent the mean loci for the aforementioned portions of the flowers. The maximum excitation of the ultraviolet, blue, green, and red photoreceptors is represented by the respective tetrahedron vertices (violet, blue, green, and red).

Floral Scent

Intact flowers and flowers that were damaged by florivores (category of 51–60% of corolla removal) emitted a similar amount of scent [Pseudo-F(1, 2.12) = 2.26; p = 0.30; Table 1] and had a similar qualitative scent pattern [Pseudo-F(1, 2.06) = 3.84; p = 0.11]. Both treatments emitted mainly aromatic compounds and terpenoids. These compounds were emitted in similar relative amounts by flowers of the two treatments [PERMANOVA ‘Treatment’; Pseudo-F(1, 2.06) = 2.06; p = 0.20; Figure 6]. On average, the most abundant compounds were β-bourbonene as well as β-caryophyllene in control flowers, benzaldehyde in damaged flowers, and 4-methylanisole in both treatments. It is noteworthy that relative scent properties were, independent of the treatment, highly variable among plants (Table 1; Figure 6).

TABLE 1
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Table 1. Total absolute (mean ± sd; minimum–maximum; ng. flower-1. hour-1) and relative amount of each compound (mean ± sd; minimum–maximum; %) of scent in intact and naturally damaged flowers of Pyrostegia venusta.

FIGURE 6
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Figure 6. Non-metric multidimensional scaling (NMDS) of Pyrostegia venusta floral scent from control and naturally damaged flowers. Comparison between the relative scent composition emitted by flowers that were intact (control) or naturally damaged by the florivore caterpillar, Parrhasius polibetes (black-spot hairstreak, Lycaenidae). There was no significant difference in relative scent composition among flowers submitted to both treatments (PERMANOVA with 9,999 permutations, Pseudo-F [1, 2.06] = 2.06; p = 0.20). Each dot represents a sample.

Floral Resource

We found no difference when comparing control (39.2 ± 21.6 μl, mean ± sd) and naturally damaged (37.3 ± 21.8 μl) flowers regarding nectar volume (Figure 7; F = 0.916; p = 0.3384).

FIGURE 7
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Figure 7. Violin plots of nectar volume in Pyrostegia venusta flowers that were intact (control) and damaged by florivores. The median, the 25th and 75th percentiles, the non-outlier range (within 1.5 times the interquartile range), and the outliers are shown. There was no significant difference among the nectar volume in flowers submitted to the different treatments (GLMM with gamma error distribution, p = 0.3384).

The Effect of Experimentally Simulated Floral Damages on Hummingbird Pollination

Our beforementioned results evinced that natural florivory did not affect intra-floral colour pattern, floral scent, or nectar production. These results validate the use of mechanically damaged flowers (which did not alter those floral traits either) to evaluate the outcomes of florivory on hummingbird pollination.

We recorded the hummingbirds Phaethornis pretrei (Phaethornithinae), Chlorostilbon lucidus (Trochilinae), and Polytmus guainumbi (Trochilinae) as pollinators of P. venusta. All of them always contacted both male and female reproductive structures while visiting control and damaged flowers. We did not observe a difference when comparing the likelihood of pollen grains being deposited onto the stigmas of intact and damaged flowers (Z = 0.279, p > 0.1, nflowers = 195, nplants = 33), with 47.07 ± 74.37 (mean ± sd) pollen grains found in the stigmas of control flowers and 44.56 ± 75.22 in damaged flowers.

Discussion

In natural populations, the majority of P. venusta flowers (77.4%) was intact and the remaining 22.6% of the flowers showed variable natural levels of floral damage, being a Lycaenidae caterpillar the most frequent florivore observed in the system. This florivore caused damages, which were variable in size and shape, fitting the categories from 1–3% to 51–60% of corolla removal. Despite the accentuated loss of corolla integrity caused by this florivore, floral colour patterns, floral scent locally emitted by damaged flowers and floral nectar volume were not affected. Mechanical simulation of the change in corolla outline caused by caterpillars did not affect pollination by hummingbirds (see a graphical summary of the main findings of this study in Figure 8).

FIGURE 8
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Figure 8. Graphical summary of the experimental design of the study showing the general design and main results. Florivory, by the most common florivore, a Lycaenidae caterpillar, did not affect floral colour patterns, nor floral scent, nor floral nectar volume (grey arrows). Florivory only affected flower integrity, by changing the corolla outline due to the presence of damages per se (black arrow). Finally, we show that there was no effect of the mechanical simulation of floral damages on pollination (grey arrow). Created with BioRender.com.

Pyrostegia venusta presents a massive visual floral display, with synchronous production of numerous orange short-lived flowers (Gobatto-Rodrigues and Stort, 1992). This massive visual advertisement will not only be perceived by pollinators, but also by florivores (Anderson, 1996; Harder and Johnson, 2005). Indeed, not only hummingbirds, but also grasshoppers and butterflies (which lay eggs inside the flowers that develop into caterpillar florivores), are capable of perceiving orange flowers (Vishnevskaia and Mazokhin-Porshniakov, 1969; Chittka and Briscoe, 2001 and references therein; Vanhoutte, 2003; Briscoe, 2008). Thus, one can expect high levels of florivory due to the local abundance of resources. Similarly, to our study system, Kessler et al. (2013) also found a prevalence of natural low levels of floral tissue removal performed by orthopterans. High levels of florivory, comparable in size to the largest damages observed here, also performed by lepidopteran caterpillars, were described for a bee-pollinated system (McCall, 2008).

Regarding floral visual advertisements, we could expect at least two types of effect of florivory. The first and more obvious one is the loss of the physical integrity of the corolla. Although after florivory the remaining portion of the corolla is still tubular, the general outline of the flower was modified. Hummingbirds perceive floral shapes and those with short straight bill prefer shorter and straighter floral tubes, whereas hummingbirds with long curved bills prefer longer and more curved flowers (Maglianesi et al., 2015). Therefore, as hummingbirds present this capability of distinguishing floral shapes, especially regarding floral tube length, the damages caused by florivores could lead hummingbirds not to recognise the ‘new’ floral outline as that originally associated with the trophic resource (intact flowers). Nevertheless, contrary to this expectation, our results show that hummingbirds did not reject damaged flowers. A second expected effect of florivory on floral visual advertisements is changes in intra-floral colour pattern. Florivory did not affect intra-floral colour patterns, as the chromatic and achromatic contrasts between the yellowish reproductive structures and the orange corolla did not differ between intact and damaged flowers. Overall, florivory in P. venusta changed floral outline but preserved intra-floral colour patterns, with no effects on pollination success. This contrasts with the findings for Mimulus luteus, another hummingbird-pollinated species, in which florivory changed colour patterns, with negative effects on pollination (Pohl et al., 2006).

Regarding floral chemical advertisements, hummingbird-pollinated flowers are commonly regarded as being scentless or present few and widespread VOCs (Knudsen et al., 2004). However, we found 24 scent compounds in P. venusta, which is up to 8.3 times greater than what had been previously described for other hummingbird-pollinated species (Knudsen et al., 2004). Among these compounds are several that are also known from other hummingbird-pollinated plants (Knudsen et al., 2004; Dellinger et al., 2019). Some are even behaviorally active in hummingbird species [attractants: benzaldehyde, (E)-β-caryophyllene; repellents: limonene, methyl salicylate; see Kessler and Baldwin (2007)] and might also be involved in the communication between P. venusta and their hummingbird pollinators. Similarly to the number of compounds, also the total amount of floral scent is highly variable among hummingbird-pollinated species, also showing high levels of intra-specific variation (Dellinger et al., 2019), as we recorded in P. venusta. The ecological consequences of intra-specific scent variation in hummingbird-pollinated species are unknown so far, but are currently under investigation (Guimarães et al., unpublished data). Regardless, as the amount of scent emitted by P. venusta flowers and its relative chemical composition were similar in intact and damaged flowers, one can infer that both types of flowers, based on the olfactory advertisement, are indistinguishable to hummingbirds.

Although visual and chemical advertisements are determinant for flower location by hummingbirds, a reliable nectar supply will be essential for maintaining hummingbird visits to the flowers (George, 1980; Irwin, 2000; Altshuler and Nunn, 2001; Hurly and Healy, 2002; Chautá et al., 2017). Damages inflicted by florivores to P. venusta flowers did not affect the amount of nectar available per flower, differently from shown by Radhika et al. (2010) for Brassica napus. Therefore, by operant conditioning, with nectar acting as positive reinforcement, hummingbirds can easily learn to keep visiting P. venusta flowers, even in the presence of severe damages.

In general, most studies that evaluated the effect of florivory on plant fitness have found negative effects; however, this result is vastly variable among plant species (see Haas and Lortie, 2020 for references). These negative effects are associated with pollen limitation (Leavitt and Robertson, 2006; McCall, 2010), or a specific decrease in plant attraction to bees (Karban and Strauss, 1993; Krupnick et al., 1999; McCall, 2008), bats (Von Helversen and Von Helversen, 1999) and hawkmoths (Mothershead and Marquis, 2000). Regarding hummingbird-pollinated systems, the studies have shown contrasting results. Our experimental approach revealed that florivory did not affect P. venusta pollination, as found by Tsuji et al. (2016). However, in other systems, it negatively altered plant fitness, especially, when florivory affected floral guides (Pohl et al., 2006). It is possible that the mechanisms underlying these variable outcomes, which are poorly known, may be species-specific from plant, pollinator, and florivore perspectives (Rusman et al., 2019b).

Moreover, the ecological consequences of florivore-induced local short-term changes on plant–pollinator interactions may be substantially distinct from those of systemic responses. Some of the effects of florivory are only expressed locally, such as changes in flower shape, outline and size, or changes in the intra-floral colour patterns, as direct ‘byproducts of florivore action.’ However, other effects, such as volatile emission, pigment allocation, and nectar features, can change due to a local or a systemic response, as a ‘plant reaction to florivore action.’ Local effects of florivory should be fast enough to be expressed during the flower lifetime. On the other hand, systemic effects may be fast or not and will comprise the whole plant, including damaged and undamaged flowers (Rusman et al., 2019a). In our study, we found no differences in most of the traits evaluated, except for the inevitable change in the flower outline due to the removal of corolla portions by the florivores, which is a local direct effect of florivory. From the pollinator perspective, the flower is the unit that must be recognised when searching for resources. Thus, the short-term local effects of florivory have a large potential to immediately interfere with flower–pollinator communication pathways.

There is a growing body of literature regarding the effects of florivory on pollination (Soper Gorden and Adler, 2016, see Haas and Lortie, 2020 for references) and the present study simultaneously investigated the local effects of florivory on visual and olfactory advertisements, as well as on floral sugar resource. Considering all our data, we have shown that florivory only led to the loss of corolla integrity due to the presence of damages per se, which changed corolla outline. However, during the flower lifespan, florivory did not have effects on intra-floral colour patterns, floral scent, or floral nectar. Thus, this study isolates a single effect of florivory—floral outline modification—and demonstrates that this isolated change in flower appearance does not discourage hummingbird visitation, even though hummingbirds strongly rely on vision for food location (Hickman and Robert, 1993; Pritchard et al., 2017; Tyrrell et al., 2018 and references therein). Thus, this study highlights that the florivore–plant–pollinator intersection may work as a complex and stable trophic system, in which local changes in floral traits promoted by florivory are not enough to disrupt flower–hummingbird communication and pollen transfer itself.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors upon request, without undue reservation.

Author Contributions

PT and EG conceived the study, collected and analysed the data, and wrote the main manuscript text. SD contributed to the scent analyses and commented on earlier versions of the manuscript. All authors contributed critically to the manuscript and approved the final version.

Funding

This work was supported by the São Paulo Research Foundation (FAPESP), Grant #2018/14146–0 and Grant #2009/17611–7 and by the National Council of Technological and Scientific Development, Proc. 312799/2021-7 to EG. This study was financed in part by the Coordination of Superior Level Staff Improvement, Brazil, Finance Code 001 and PDSE #88882.433249/2018–01 to PT.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Acknowledgments

The authorisation for collection of biological samples is registered on Sisgen under #A90A83C. We also thank P. Giaquinto for lending us the modified camera capable of capturing only UV light, F. J. Telles for collecting preliminary reflectance samples, L. D. de Almeida Junior for the technical help with the chemical analysis, L. C. Di Stasi for Fitofarmatec lab facilities, N. M. Gildo for the information and picture of Schistocerca flavofasciata, the students from the laboratory of ‘Ecology and Evolution of plant–animal interactions’ for field support, and three reviewers for their helpful comments on an earlier version of the manuscript.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpls.2022.813418/full#supplementary-material

References

Adams, R. P. (2007). Identification of Essential Oil Components by Gas Chromatography/Mass Spectrometry. 4th Edn. Carol Stream: Allured Publishing Corporation.

Google Scholar

Adler, D. (2020). Rgl: 3D visualization using OpenGL. R package version. Available at: https://CRAN.R-project.org/package=rgl (Accessed January 12, 2022).

Google Scholar

Altshuler, D. L., and Nunn, A. M. (2001). Observational learning in hummingbirds. Auk 118, 795–799. doi: 10.1093/auk/118.3.795

CrossRef Full Text | Google Scholar

Anderson, S. (1996). Floral display and pollination success in Senecio jacobaea (Asteraceae): interactive effects of head and corymb size. Am. J. Bot. 83, 71–75. doi: 10.1002/j.1537-2197.1996.tb13876.x

CrossRef Full Text | Google Scholar

Ashman, T. L., Alonso, C., Parra-Tabla, V., and Arceo-Gómez, G. (2020). Pollen on stigmas as proxies of pollinator competition and facilitation: complexities, caveats and future directions. Ann. Bot. 125, 1003–1012. doi: 10.1093/aob/mcaa012

PubMed Abstract | CrossRef Full Text | Google Scholar

Baldwin, I. T. (1990). Herbivory simulations in ecological research. Trends Ecol. Evol. 5, 91–93. doi: 10.1016/0169-5347(90)90237-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Bates, D., Maechler, M., Bolker, B., and Walker, S. (2015). Fitting linear mixed-effects models using lme4. J. Stat. Softw. 67, 1–48. doi: 10.18637/jss.v067.i01

CrossRef Full Text | Google Scholar

Boaventura, M. G., Villamil, N., Teixido, A. L., Tito, R., Vasconcelos, H. L., Silveira, F. A., et al. (2022). Revisiting florivory: an integrative review and global patterns of a neglected interaction. New Phytol. 233, 132–144. doi: 10.1111/nph.17670

PubMed Abstract | CrossRef Full Text | Google Scholar

Bolker, B., Skaug, H., and Laake, J. (2020). R2admb: 'ADMB' to R Interface functions. R package version 0.7.16.2. Available at: https://CRAN.R-project.org/package=R2admb (Accessed January 12, 2022).

Google Scholar

Briscoe, A. D. (2008). Reconstructing the ancestral butterfly eye: focus on the opsins. J. Exp. Biol. 211, 1805–1813. doi: 10.1242/jeb.013045

PubMed Abstract | CrossRef Full Text | Google Scholar

Chautá, A., Whitehead, S., Amaya-Marquez, M., and Poveda, K. (2017). Leaf herbivory imposes fitness costs mediated by hummingbird and insect pollinators. PLoS One 12:e0188408. doi: 10.1371/journal.pone.0188408

PubMed Abstract | CrossRef Full Text | Google Scholar

Chittka, L., and Briscoe, A. (2001). “Why sensory ecology needs to become more evolutionary — insect color vision as a case in point,” in Ecology of Sensing. eds. F. G. Barth and A. Schmid (New York, NY: Springer-Verlag), 19–37.

Google Scholar

Chrétien, L. T., David, A., Daikou, E., Boland, W., Gershenzon, J., Giron, D., et al. (2018). Caterpillars induce jasmonates in flowers and alter plant responses to a second attacker. New Phytol. 217, 1279–1291. doi: 10.1111/nph.14904

PubMed Abstract | CrossRef Full Text | Google Scholar

Dafni, A., Kevan, P. G., and Husband, B. C. (2005). Practical Pollination Biology. Canada: Enviroquest Ltd.

Google Scholar

Delignette-Muller, M. L., and Dutang, C. (2015). Fitdistrplus: An R package for fitting distributions. J. Stat. Softw. 64, 1–34. doi: 10.18637/jss.v064.i04

CrossRef Full Text | Google Scholar

Dellinger, A. S., Artuso, S., Pamperl, S., Michelangeli, F. A., Penneys, D. S., Fernández-Fernández, D. M., et al. (2019). Modularity increases rate of floral evolution and adaptive success for functionally specialized pollination systems. Nat. Commun. 2, 1–11. doi: 10.1038/s42003-019-0697-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Dicke, M., Sabelis, M. W., Takabayashi, J., Bruin, J., and Posthumus, M. A. (1990). Plant strategies of manipulating predatorprey interactions through allelochemicals: prospects for application in pest control. J. Chem. Ecol. 16, 3091–3118. doi: 10.1007/BF00979614

PubMed Abstract | CrossRef Full Text | Google Scholar

Dirzo, R., and Domingues, C. (1995). “Plant-animal interaction in Mesoamerican tropical dry forest,” in Seasonally Dry Tropical Forests. eds. S. H. Bullock, H. A. Mooney, and E. Medina (Cambridge: Cambridge University Press).

Google Scholar

Dötterl, S., Wolfe, L. M., and Jürgens, A. (2005). Qualitative and quantitative analyses of flower scent in Silene latifolia. Phytochemistry 66, 203–213. doi: 10.1016/j.phytochem.2004.12.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Etl, F., Berger, A., Weber, A., Schönenberger, J., and Dötterl, S. (2016). Nocturnal plant bugs use cis-Jasmone to locate inflorescences of an Araceae as feeding and mating site. J. Chem. Ecol. 42, 300–304. doi: 10.1007/s10886-016-0688-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Farré-Armengol, G., Filella, I., Llusia, J., Primante, C., and Peñuelas, J. (2015). Enhanced emissions of floral volatiles by Diplotaxis erucoides (L.) in response to folivory and florivory by Pieris brassicae (L.). Biochem. Syst. Ecol. 63, 51–58. doi: 10.1016/j.bse.2015.09.022

CrossRef Full Text | Google Scholar

Fournier, D. A., Skaug, H. J., Ancheta, J., Ianelli, J., Magnusson, A., Maunder, M. N., et al. (2012). AD model builder: using automatic differentiation for statistical inference of highly parameterized complex nonlinear models. Optim. Method. Softw. 27, 233–249. doi: 10.1080/10556788.2011.597854

CrossRef Full Text | Google Scholar

Fox, J., and Weisberg, S. (2019). An R Companion to Applied Regression. 3rd Edn. Los Angeles: Sage Publications.

Google Scholar

Galetto, L., and Bernardello, G. (2005). “Rewards in flowers: nectar,” in Practical Pollination Biology. eds. A. Dafni, P. G. Kevan, and B. C. Husband (Cambridge, Ontario, Canada: Enviroquest Ltd.), 261–313.

Google Scholar

Galetto, L., Bernardello, L. M., and Juliani, H. R. (1994). Characteristics of secretion of nectar in Pyrostegia venusta (Ker-Gawl.) Miers (Bignoniaceae). New Phytol. 127, 465–471. doi: 10.1111/j.1469-8137.1994.tb03964.x

CrossRef Full Text | Google Scholar

Garnier, S. (2018). Viridis: default color maps from 'matplotlib'. R package version 0.5.1. Available at: https://CRAN.R-project.org/package=viridis (Accessed January 12, 2022).

Google Scholar

George, M. W. (1980). Hummingbird foraging behavior at Malvaviscus arboreus var. Auk. 97, 790–794. doi: 10.1093/auk/97.4.790

CrossRef Full Text | Google Scholar

Gobatto-Rodrigues, A. A., and Stort, M. N. S. (1992). Floral biology and reproduction of Pyrostegia venusta (Ker-Gawl) Miers (Bignoniaceae). Rev. Brasil. Bot. 15, 37–41.

Google Scholar

Grantsau, R. (1988). Os Beija-flores do Brasil: Uma chave de identificação para todas as formas de beija-flores do Brasil. Rio de Janeiro: Expressão e Cultura.

Google Scholar

Haas, S. M., and Lortie, C. J. (2020). A systematic review of the direct and indirect effects of herbivory on plant reproduction mediated by pollination. PeerJ. 8:e9049. doi: 10.7717/peerj.9049

PubMed Abstract | CrossRef Full Text | Google Scholar

Harder, L. D., and Johnson, S. D. (2005). Adaptive plasticity of floral display size in animal-pollinated plants. P. Roy. Soc. Lond. B. Bio. 272, 2651–2657. doi: 10.1098/rspb.2005.3268

PubMed Abstract | CrossRef Full Text | Google Scholar

Herrera, C. M. (1993). Selection on complexity of corolla outline in a hawkmoth-pollinated violet. Evol. Trends Plants. 7, 9–13.

Google Scholar

Herrera, G., Zagal, J. C., Diaz, M., Fernández, M. J., Vielma, A., Cure, M., et al. (2008). Spectral sensitivities of photoreceptors and their role in colour discrimination in the green-backed firecrown hummingbird (Sephanoides sephaniodes). J. Comp. Physiol. A 194, 785–794. doi: 10.1007/s00359-008-0349-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Hickman, C. P., and Robert, L. S. (1993). Biology of Animals. New York: McGraw-Hill Higher Education.

Google Scholar

Hurly, T. A., and Healy, S. D. (2002). Cue learning by rufous hummingbirds (Selasphorus rufus). J. Exp. Psychol. Anim. B. 28, 209–223. doi: 10.1037/0097-7403.28.2.209

PubMed Abstract | CrossRef Full Text | Google Scholar

Irwin, R. E. (2000). Hummingbird avoidance of nectar-robbed plants: spatial location or visual cues. Oikos 91, 499–506. doi: 10.1034/j.1600-0706.2000.910311.x

CrossRef Full Text | Google Scholar

Johnson, S. G., Delph, L. F., and Elderkin, C. L. (1995). The effect of petal-size manipulation on pollen removal, seed set, and insect-visitor behavior in Campanula Americana. Oecologia 102, 174–179. doi: 10.1007/BF00333249

PubMed Abstract | CrossRef Full Text | Google Scholar

Junker, R. R., and Parachnowitsch, A. L. (2015). Working towards a holistic view on flower traits—how floral scents mediate plant–animal interactions in concert with other floral characters. J. Ind. Inst. Sci. 95, 43–68.

Google Scholar

Kantsa, A., Raguso, R. A., Dyer, A. G., Sgardelis, S. P., Olesen, J. M., and Petanidou, T. (2017). Community-wide integration of floral colour and scent in a Mediterranean scrubland. Nat. Ecol. Evol. 1, 1502–1510. doi: 10.1038/s41559-017-0298-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Karban, R., and Strauss, S. Y. (1993). Effects of herbivores on growth and reproduction of their perennial host Erigeron glaucus. Ecology. 74, 39–46. doi: 10.2307/1939499

CrossRef Full Text | Google Scholar

Kessler, D., and Baldwin, I. T. (2007). Making sense of nectar scents: the effects of nectar secondary metabolites on floral visitors of Nicotiana attenuata. Plant J. 49, 840–854. doi: 10.1111/j.1365-313x.2006.02995.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Kessler, D., Diezel, C., Clark, D. G., Colquhoun, T. A., and Baldwin, I. T. (2013). Petunia flowers solve the defence/apparency dilemma of pollinator attraction by deploying complex floral blends. Ecol. Lett. 16, 299–306. doi: 10.1111/ele.12038

PubMed Abstract | CrossRef Full Text | Google Scholar

Kessler, D., Gase, K., and Baldwin, I. T. (2008). Field experiments with transformed plants reveal the sense of floral scents. Science 321, 1200–1202. doi: 10.1126/science.1160072

PubMed Abstract | CrossRef Full Text | Google Scholar

Kessler, A., and Halitschke, R. (2009). Testing the potential for conflicting selection on floral chemical traits by pollinators and herbivores: predictions and case study. Funct. Ecol. 23, 901–912. doi: 10.1111/j.1365-2435.2009.01639.x

CrossRef Full Text | Google Scholar

Knudsen, J. T., Tollsten, L., Groth, I., Bergström, G., and Raguso, R. A. (2004). Trends in floral scent chemistry in pollination syndromes: floral scent composition in hummingbird-pollinated taxa. Bot. J. Linn. Soc. 146, 191–199. doi: 10.1111/j.1095-8339.2004.00329.x

CrossRef Full Text | Google Scholar

Krupnick, G. A., Weis, A. E., and Campbell, D. R. (1999). The consequences of floral herbivory for pollinator service to Isomeris arborea. Ecology 80, 125–134. doi: 10.1890/0012-9658(1999)080[0125:TCOFHF]2.0.CO;2

CrossRef Full Text | Google Scholar

Leavitt, H., and Robertson, I. C. (2006). Petal herbivory by chrysomelid beetles (Phyllotreta sp.) is detrimental to pollination and seed production in Lepidium papilliferum (Brassicaceae). Ecol. Entomol. 31, 657–660. doi: 10.1111/j.1365-2311.2006.00820.x

CrossRef Full Text | Google Scholar

Lenth, R. (2020). Emmeans: estimated marginal means, aka least-squares means. R package version 1.5.0. Available at: https://CRAN.R-project.org/package=emmeans (Accessed January 12, 2022).

Google Scholar

Leonard, A. S., and Francis, J. S. (2017). Plant–animal communication: past, present and future. Evol. Ecol. 31, 143–151. doi: 10.1007/s10682-017-9884-5

CrossRef Full Text | Google Scholar

Leonard, A. S., and Masek, P. (2014). Multisensory integration of colors and scents: insights from bees and flowers. J. Comp. Physiol. A 200, 463–474. doi: 10.1007/s00359-014-0904-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Leone, F. R. (2011). Plantas ornitófilas, com enfoque em Sinningia sceptrum (Mart.) Wiehler (Gesneriaceae), em fragmentos de Floresta Atlântica: aspectos reprodutivos e rede de interações mutualísticas. Master’s thesis. Viçosa: Universidade Federal de Viçosa.

Google Scholar

Lucas-Barbosa, D., van Loon, J. J., and Dicke, M. (2011). The effects of herbivore-induced plant volatiles on interactions between plants and flower-visiting insects. Phytochemistry 72, 1647–1654. doi: 10.1016/j.phytochem.2011.03.013

PubMed Abstract | CrossRef Full Text | Google Scholar

Lucas-Barbosa, D., van Loon, J. J., Gols, R., van Beek, T. A., and Dicke, M. (2013). Reproductive escape: annual plant responds to butterfly eggs by accelerating seed production. Funct. Ecol. 27, 245–254. doi: 10.1111/1365-2435.12004

CrossRef Full Text | Google Scholar

Lunau, K., Papiorek, S., Eltz, T., and Sazima, M. (2011). Avoidance of achromatic colours by bees provides a private niche for hummingbirds. J. Exp. Biol. 214, 1607–1612. doi: 10.1242/jeb.052688

PubMed Abstract | CrossRef Full Text | Google Scholar

Maglianesi, M. A., Böhning-Gaese, K., and Schleuning, M. (2015). Different foraging preferences of hummingbirds on artificial and natural flowers reveal mechanisms structuring plant–pollinator interactions. J. Anim. Ecol. 84, 655–664. doi: 10.1111/1365-2656.12319

PubMed Abstract | CrossRef Full Text | Google Scholar

Maia, R., Gruson, H., Endler, J. A., and White, T. E. (2019). Pavo 2: new tools for the spectral and spatial analysis of colour in R. Methods Ecol. Evol. 10, 1097–1107. doi: 10.1111/2041-210X.13174

CrossRef Full Text | Google Scholar

McCall, A. C. (2008). Florivory affects pollinator visitation and female fitness in Nemophila menziesii. Oecologia 155, 729–737. doi: 10.1007/s00442-007-0934-5

PubMed Abstract | CrossRef Full Text | Google Scholar

McCall, A. C. (2010). Does dose-dependent petal damage affect pollen limitation in an annual plant? Botany 88, 601–606. doi: 10.1139/B10-032

CrossRef Full Text | Google Scholar

McCall, A. C., and Irwin, R. E. (2006). Florivory: the intersection of pollination and herbivory. Ecol. Lett. 9, 1351–1365. doi: 10.1111/j.1461-0248.2006.00975.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Mothershead, K., and Marquis, R. J. (2000). Fitness impacts of herbivory through indirect effects on plant–pollinator interactions in Oenothera macrocarpa. Ecology 81, 30–40. doi: 10.1890/0012-9658(2000)081[0030:FIOHTI]2.0.CO;2

CrossRef Full Text | Google Scholar

Muola, A., Weber, D., Malm, L. E., Egan, P. A., Glinwood, R., Parachnowitsch, A. L., et al. (2017). Direct and pollinator-mediated effects of herbivory on strawberry and the potential for improved resistance. Front. Plant Sci. 8:823. doi: 10.3389/fpls.2017.00823

PubMed Abstract | CrossRef Full Text | Google Scholar

Ödeen, A., and Håstad, O. (2010). Pollinating birds differ in spectral sensitivity. J. Comp. Physiol. A 196, 91–96. doi: 10.1007/s00359-009-0474-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Pinheiro, J., Bates, D., DebRoy, S., Sarkar, D., and Core Team, R. (2018). Nlme: linear and nonlinear mixed effects models. R package version 3, 1–137.

Google Scholar

Pohl, N., Carvallo, G., Botto-Mahan, C., and Medel, R. (2006). Nonadditive effects of flower damage and hummingbird pollination on the fecundity of Mimulus luteus. Oecologia 149, 648–655. doi: 10.1007/s00442-006-0479-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Pool, A. (2008). A review of the genus Pyrostegia (Bignoniaceae). Ann. Mo. Bot. Gard. 95, 495–510. doi: 10.3417/2003090

CrossRef Full Text | Google Scholar

Potting, R. P., Vet, L. E., and Dicke, M. (1995). Host microhabitat location by stem-borer parasitoid Cotesia flavipes: the role of herbivore volatiles and locally and systemically induced plant volatiles. J. Chem. Ecol. 21, 525–539. doi: 10.1007/BF02033699

PubMed Abstract | CrossRef Full Text | Google Scholar

Pritchard, D. J., Tello Ramos, M. C., Muth, F., and Healy, S. D. (2017). Treating hummingbirds as feathered bees: a case of ethological cross-pollination. Biol. Lett. 13:20170610. doi: 10.1098/rsbl.2017.0610

PubMed Abstract | CrossRef Full Text | Google Scholar

Radhika, V., Kost, C., Boland, W., and Heil, M. (2010). The role of jasmonates in floral nectar secretion. PLoS One 5:e9265. doi: 10.1371/journal.pone.0009265

PubMed Abstract | CrossRef Full Text | Google Scholar

R Core Team. (2020). R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing.

Google Scholar

Rico-Guevara, A., Hurme, K. J., Elting, R., and Russell, A. L. (2021). Bene‘fit’ assessment in pollination coevolution: mechanistic perspectives on hummingbird bill-flower matching. Integr. Comp. Biol. 61, 681–695. doi: 10.1093/icb/icab111

PubMed Abstract | CrossRef Full Text | Google Scholar

Röse, U. S., Manukian, A., Heath, R. R., and Tumlinson, J. H. (1996). Volatile semiochemicals released from undamaged cotton leaves (a systemic response of living plants to caterpillar damage). Plant Physiol. 111, 487–495. doi: 10.1104/pp.111.2.487

PubMed Abstract | CrossRef Full Text | Google Scholar

Rossatto, D. R., and Kolb, R. M. (2011). Comportamento fenológico da liana Pyrostegia venusta (Ker Gawl.) Miers (Bignoniaceae) em área de cerradão na Estação Ecológica de Assis. SP. Revista Brasileira de Biociências 9, 289–296.

Google Scholar

Rusman, Q., Lucas-Barbosa, D., Poelman, E. H., and Dicke, M. (2019a). Ecology of plastic flowers. Trends Plant Sci. 24, 725–740. doi: 10.1016/j.tplants.2019.04.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Rusman, Q., Poelman, E. H., Nowrin, F., Polder, G., and Lucas-Barbosa, D. (2019b). Floral plasticity: herbivore-species-specific-induced changes in flower traits with contrasting effects on pollinator visitation. Plant Cell Environ. 42, 1882–1896. doi: 10.1111/pce.13520

PubMed Abstract | CrossRef Full Text | Google Scholar

Sarkar, D. (2008). Lattice: Multivariate Data Visualization With R. New York: Springer Science Business Media.

Google Scholar

Schaefer, H. M., and Ruxton, G. D. (2015). Signal diversity, sexual selection, and speciation. Annu. Rev. Ecol. Evol. Syst. 46, 573–592. doi: 10.1146/annurev-ecolsys-112414-054158

CrossRef Full Text | Google Scholar

Singh, S., Rana, A., and Chauhan, S. V. S. (2009). Impact of environmental changes on the reproductive biology in Pyrostegia venusta Presl. J. Environ. Biol. 30, 271–273.

Google Scholar

Skaug, H., Fournier, D., Bolker, B., Magnusson, A., and Nielsen, A. (2016). Generalized linear mixed models using 'AD model Builder'. R package version.

Google Scholar

Soper Gorden, N. L., and Adler, L. S. (2016). Florivory shapes both leaf and floral interactions. Ecosphere 7:e01326. doi: 10.1002/ecs2.1326

CrossRef Full Text | Google Scholar

Späthe, A. M. (2013). The Function of Volatile Semiochemicals in Host Plant Choice of Oviposition Manduca Moths (Sphingidae). Doctoral dissertation. Jena: The Friedrich Schiller University.

Google Scholar

Steiger, S. S., Fidler, A. E., Valcu, M., and Kempenaers, B. (2008). Avian olfactory receptor gene repertoires: evidence for a well-developed sense of smell in birds? P. Roy. Soc. Lond. B. Bio. 275, 2309–2317. doi: 10.1098/rspb.2008.0607

PubMed Abstract | CrossRef Full Text | Google Scholar

Stiles, F. G. (1981). Geographical aspects of bird-flower coevolution, with particular reference to Central America. Ann. Mo. Bot. Garden. 68, 323–351. doi: 10.2307/2398801

CrossRef Full Text | Google Scholar

Tsuji, K., Dhami, M. K., Cross, D. J. R., Rice, C. P., Romano, N. H., and Fukami, T. (2016). Florivory and pollinator visitation: a cautionary tale. AoB Plants. 8:plw036. doi: 10.1093/aobpla/plw036

PubMed Abstract | CrossRef Full Text | Google Scholar

Tunes, P., and Guimarães, E. (2020). Herkogamy variation and alternative pollination modes in an ornithophilous species, Pyrostegia venusta (Ker Gawl.) Miers (Bignoniaceae). International journal of plant. Reprod. Biol. 12, 1–4.

Google Scholar

Turlings, T. C., and Tumlinson, J. H. (1992). Systemic release of chemical signals by herbivore-injured corn. P. Nat. Acad. Sci. 89, 8399–8402. doi: 10.1073/pnas.89.17.8399

PubMed Abstract | CrossRef Full Text | Google Scholar

Tyrrell, L. P., Goller, B., Moore, B. A., Altshuler, D. L., and Fernández-Juricic, E. (2018). The orientation of visual space from the perspective of hummingbirds. Front. Neurosci. 12:16. doi: 10.3389/fnins.2018.00016

PubMed Abstract | CrossRef Full Text | Google Scholar

Vanhoutte, K. J. A. (2003). Butterfly Visual Pigments: Molecular Cloning and Optical Reflections. Doctoral dissertation. Groningen: University of Groningen.

Google Scholar

Vega-Polanco, M., Rodríguez-Islas, L. A., Escalona-Domenech, R. Y., Cruz-López, L., Rojas, J. C., and Solís-Montero, L. (2020). Does florivory affect the attraction of floral visitors to buzz-pollinated Solanum rostratum? Arthropod-Plant Inte. 14, 41–56. doi: 10.1007/s11829-019-09723-x

CrossRef Full Text | Google Scholar

Venables, W. N., and Ripley, B. D. (2002). Modern Applied Statistics With S-PLUS. New York: Springer Science Business Media.

Google Scholar

Vishnevskaia, T. M., and Mazokhin-Porshniakov, G. A. (1969). Electrical and spectral properties of optic cells of the grasshopper (Tettigonia) and the cricket (Gryllus). Biofizika 14, 151–157.

Google Scholar

Von Helversen, D., and Von Helversen, O. (1999). Acoustic guide in bat-pollinated flower. Nature 398, 759–760. doi: 10.1038/19648

CrossRef Full Text | Google Scholar

Vorobyev, M., Osorio, D., Bennett, A. T., Marshall, N. J., and Cuthill, I. C. (1998). Tetrachromacy, oil droplets and bird plumage colours. J. Comp. Physiol. A 183, 621–633. doi: 10.1007/s003590050286

PubMed Abstract | CrossRef Full Text | Google Scholar

Wester, P., and Lunau, K. (2017). “Plant–pollinator communication,” in Advances in Botanical Research. ed. G. Becard (Cambridge, MA: Academic Press), 225–257.

Google Scholar

Wickham, H. (2016). ggplot2: Elegant Graphics for Data Analysis. New York: Springer-Verlag.

Google Scholar

Wyszecki, G., and Stiles, W. S. (1982). Color Science. Hoboken: Wiley.

Google Scholar

Xiao, L., Labandeira, C., Dilcher, D., and Ren, D. (2021). Florivory of early cretaceous flowers by functionally diverse insects: implications for early angiosperm pollination. P. Roy. Soc. Biol. Sci. 288:20210320. doi: 10.1098/rspb.2021.0320

PubMed Abstract | CrossRef Full Text | Google Scholar

Xie, D. X., Feys, B. F., James, S., Nieto-Rostro, M., and Turner, J. G. (1998). COI1: An Arabidopsis gene required for jasmonate-regulated defense and fertility. Science 280, 1091–1094. doi: 10.1126/science.280.5366.1091

PubMed Abstract | CrossRef Full Text | Google Scholar

Zanata, T. B., Dalsgaard, B., Passos, F. C., Cotton, P. A., Roper, J. J., Maruyama, P. K., et al. (2017). Global patterns of interaction specialization in bird–flower networks. J. Biogeogr. 44, 1891–1910. doi: 10.1111/jbi.13045

CrossRef Full Text | Google Scholar

Zangerl, A. R., and Berenbaum, M. R. (2009). Effects of florivory on floral volatile emissions and pollination success in the wild parsnip. Arthropod. Plant Int. 3, 181–191. doi: 10.1007/s11829-009-9071-x

CrossRef Full Text | Google Scholar

Keywords: floral colour, floral damage, floral scent, hummingbird pollination, Pyrostegia venusta, floral cues, plant-pollinator communication

Citation: Tunes P, Dötterl S and Guimarães E (2022) Florivory and Pollination Intersection: Changes in Floral Trait Expression Do Not Discourage Hummingbird Pollination. Front. Plant Sci. 13:813418. doi: 10.3389/fpls.2022.813418

Received: 11 November 2021; Accepted: 07 March 2022;
Published: 30 March 2022.

Edited by:

Mani Shrestha, University of Bayreuth, Germany

Reviewed by:

Kathryn Ann LeCroy, Cornell University, United States
Quint Rusman, University of Zurich, Switzerland
Camila Souza, Universidade Estadual de Montes Claros, Brazil

Copyright © 2022 Tunes, Dötterl and Guimarães. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Elza Guimarães, elza.guimaraes@unesp.br

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