Next Article in Journal
Chronic Cadmium Exposure Induces Impaired Olfactory Learning and Altered Brain Gene Expression in Honey Bees (Apis mellifera)
Previous Article in Journal
RNAi-Mediated Manipulation of Cuticle Coloration Genes in Lygus hesperus Knight (Hemiptera: Miridae)
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Differences in EAG Response and Behavioral Choices between Honey Bee and Bumble Bee to Tomato Flower Volatiles

1
College of Animal Science, Shanxi Agricultural University, Jinzhong 030801, China
2
College of Horticulture, Shanxi Agricultural University, Taiyuan 030031, China
3
College of Life Sciences, Shanxi Agricultural University, Jinzhong 030801, China
*
Authors to whom correspondence should be addressed.
Insects 2022, 13(11), 987; https://doi.org/10.3390/insects13110987
Submission received: 26 September 2022 / Revised: 24 October 2022 / Accepted: 26 October 2022 / Published: 27 October 2022
(This article belongs to the Section Insect Societies and Sociality)

Abstract

:

Simple Summary

Tomatoes are a popular crop, and bumble bees and honey bees are its main pollinators. Floral scent usually plays an important role in mediating the foraging behavior of bees, and tomato flowers release special scents. Although it has been found that foraging experience in the tomato greenhouses helped bumble bees develop a strong preference for the scent, honey bees with foraging experience continued to show aversion to tomato floral scent. However, it is currently unknown as to how a single tomato volatile compound regulates the foraging behavior of bees. In the current study, we investigated the foraging behaviors of the widely used pollinator honey bee Apis mellifera and bumble bee Bombus terrestris on tomato flower volatile compounds in order to evaluate whether honey bees and bumble bees show different EAG responses to volatile compounds and how they might influence bee choice behavior. We found that honey bees had a weaker EAG response to the tested compounds compared with bumble bees and that they showed avoidance behavior to these compounds. We conclude that some compounds in tomato floral scents caused the low bias of honey bees to tomato flowers, which may be one driver as to why honey bees dislike tomato, which could be adjusted in order to improve the pollination service efficiency of bees for commercial crops.

Abstract

Bumble bees and honey bees are of vital importance for tomato pollination, although honey bees are less attracted to tomato flowers than bumble bees. Little is known about how tomato flower volatile compounds influence the foraging behaviors of honey bees and bumble bees. In this study, compounds of tomato flower volatiles were detected by gas chromatography–mass spectrometry. Electroantennography (EAG) and a dynamic two-choice olfactometer were used, respectively, to compare the differences of antennal and behavioral responses between Apis mellifera and Bombus terrestris towards selected volatile compounds. A total of 46 compounds were detected from the tomato flower volatiles. Of the 16 compounds tested, A. mellifera showed strong antennal responses to 3 compounds (1-nonanal, (+)-dihydrocarvone, and toluene) when compared with a mineral oil control, and B. terrestris showed 7 pronounced EAG responses (1,3-xylene, (+)-dihydrocarvone, toluene, piperitone, eucarvone, 1-nonanal, and β-ocimene). Additionally, 1-nonanal and (+)-dihydrocarvone elicited significant avoidance behavior of A. mellifera, but not of B. terrestris. In conclusion, bumble bees are more sensitive to the compounds of tomato flower volatiles compared to honey bees, and honey bees showed aversion to some compounds of tomato flower volatiles. The findings indicated that compounds of flower volatiles significantly influenced bee foraging preference for tomato.

1. Introduction

Tomato (Lycopersicum esculentum) is one of the most consumed vegetables worldwide. It is found ubiquitously and there are more than 7500 varieties, with a global annual value of USD 10.8 billion [1]. Tomato flowers are self-compatible and may be wind pollinated when planted in an open field; however, in order to enhance yield and improve physicochemical properties of their fruit, cultivated tomato and different pollination methods have been extensively studied in many countries [1,2,3,4]. China is the largest tomato producer in the world. To improve tomato yield and fruit quality, protected cultivation has become an important cultivation system, accounting for 57.2% of total tomato production in China [5]. However, ideal fruit set and quality are difficult to achieve without artificial or insect pollination, particularly under protected cultivation conditions, where wind and wild insects are absent [6].
The structure of tomato flowers is unusual among flowering plants [7]. Tomato flowers do not produce nectar and instead rely on pollen to attract and reward floral visitors. When the apex of the anther cone moves outwards, the exposed stigma is able to contact both buzzing and non-buzzing bees, releasing pollen from their poricidal anthers [8]. Manual pollination for tomato is also common, and it can be performed by simulating a bee’s vibration on the anther using a vibrating wand, but it is expensive and can damage the flower, and it is also usually less efficient than pollination by bees [9,10,11,12].
Bees have been widely considered to be the best insects for pollination [13]. Bumble bees are more efficient and reliable pollinators of greenhouse crops. The best-known bumble bee species, Bombus terrestris, native to Eurasia, has been exported worldwide for tomato pollination [14]. They are being commercially used for cultivated tomato pollination in many countries because of their buzzing pollination behavior and efficiency at low temperatures and low levels of sunlight, which help in high-quality fruit production [2,6,15,16,17]. Apis mellifera, which is the most widely used pollinator bee species in the world, can also pollinate tomatoes and improve fruit quality [3,16,18,19]. Although honey bees were reported to seldom visit tomato flowers as they obtain neither flower reward nor have the ability for buzz pollination, few studies have sought to understand the factors that could explain why honey bees are not suitable pollinators for tomatoes.
In nature, floral traits, mainly scents, are usually considered to be associated with flower rewards for pollinators, so they are also thought be one of primary driven factors that influence the foraging decision of bees [20,21,22,23]. Bumble bees develop a preference for synthetic volatiles after they obtain rewards from artificial flowers containing these compounds [24]. The foraging preference of Bombus impatiens to Mimulus guttatus has been found to be driven by odor cues, which have innately attractiveness to the bee [25]. Moreover, D-limonene, β-myrcene, and (E)-β-ocimene of the M. lewisii flower scent is sufficient in eliciting differential visitation by bumble bees [26]. Honey bee responses to floral scent have been widely studied, and flower scents of many crops, such as apple, pear, and kiwifruit, can stimulate bee antennae, allowing them to specifically distinguish between different plants or judge flower rewards [20,27,28]. It has also been reported that volatile organic compounds from tomato plants can influence the foraging behavior of herbivore pests [29,30,31]. Bumble bees prefer to visit tomato flowers containing less β-phellandrene and (+)-2-carene, causing a negative relationship that has been found between the daily release dynamics of these two compounds and the daily foraging activity of bumble bees [32]. However, it is difficult to conclusively determine the repellent effects of these two compounds on bumble bee foraging behavior. Whether tomato floral scent influences the foraging behaviors of bees and is thus responsible for the different pollination efficiencies of these two bee species in tomato is still unknown.
Bees play an important role in the pollination of tomatoes, yet the relationship between foraging choices and olfactory cues is unclear because of the difference in foraging behavior between honey bees and bumble bees on tomato flowers. In this study, the compounds of tomato flower scents were identified, and EAG response and foraging choices of honey bee A. mellifera and bumble bee B. terrestris on selected compounds were studied. We determined the electrophysiology and behavior responses of A. mellifera and B. terrestris to tomato flower compounds and analyzed whether differences existed between the two bee species. The results of this study will help to provide insight into bee–tomato interactions and guide future efforts to support tomato pollination.

2. Materials and Methods

2.1. Flower Volatiles Collection and GC–MS

Fresh tomato flowers (“4805Dahong”) were placed in a 20 mL vial sealed with 3 mL saturated NaCl solution and were equilibrated at 80 °C for 30 min. We then inserted 100 µL polydimethylsiloxane (PDMS) fibers (Supelco, St. Louis, MO, USA) into the vial for a 30 min extraction period at 80 °C. Before the test, PDMS fiber with tomato flower volatiles was placed in the inlet of the tube column at 240 °C for a 5 min desorption period.
Gas chromatography–mass spectrometry (Agilent 6890N-5975B) was used for qualitative and quantitative analysis as the following program: GC-fitted column: HP-5MS (0.25 mm × 30 mm × 0.25 µm); inlet temperature: 240 °C; helium carrier gas: percentage purity ≥ 99.99%; flow rate: 1.0 mL/min. The oven program was started at 45 °C, maintained for 5 min, heated from 45 to 130 °C at 6 °C/min, then from 130 to 240 °C at 10 °C/min, and finally maintained at 240 °C for 8 min. The injection was splitless. The MS parameters were as follows: the ion source temperature: 230 °C; the interface temperature: 250 °C. The ionization mode was electron ion source (EI). Full scanning was conducted at a mass scan range from m/z 45 to 500. Volatile compounds retrieval and identification were conducted using NIST 14 libraries, and the relative content of each component was analyzed by area normalization.

2.2. Preparation of Standard Compounds

The compounds β-caryophyllene, terpinolene, γ-terpinene, β-ocimene, (−)-β-pinene, p-cymene, 1,3-xylene, toluene, 2,4-dimethyl styrene, piperitone, eucarvone, (+)-dihydrocarvone, linalool, 1-nonanal, and tetradecane were diluted in mineral oil to six different concentrations (10 μg/μL, 100 μg/μL, 200 μg/μL, 300 μg/μL, 400 μg/μL, 500 μg/μL) for EAG and Y-tube behavioral experiments. All compounds were obtained from commercial suppliers (Table 1). We did not use the full range of standard compounds because some were unavailable at the time of our study.

2.3. EAG Responses

The procedure used to prepare the bees for the electroantennographic recording is described in [33] and was adapted to the special requirements of A. mellifera and B. terrestris. Honey bee workers were caught at the hive door and starved for 24 h before the experiments, and bumble bees were bought from company (Woofuntech bio-control, Hebei, China) a few days before the experiments. A bee was placed under an asana microscope, and one antenna was cut from the base using a scalpel blade. Then, the base had a reference glass electrode filled with Ringer’s solution in contact with an Ag/AgCl wire inserted into it. Following this, we used iris scissors to cut a small opening at the top of the antenna, exposing the internal tissue. Into this incision, we inserted a recording glass electrode also filled with Ringer’s solution.
The EAG responses were detected through a combi-probe (INR-II; Syntech, the Netherlands). The DC potential was recorded (Universal AC/DC probe), processed, and analyzed using EAG 2000 software (Syntech, Hilversum, the Netherlands). The purified air and testing compounds were provided by an air stimulus controller (CS55; Syntech, Hilversum, the Netherlands), with an 18 L/h constant air flow passed over. The testing antennae were adjusted to the center of the open end of the mental tube so that the air carried with compounds passed over was uniform. Each compound concentration was tested in a 1 min interval, and the pulse duration was 1 s. The time interval between each volatile compound was 2 min. All compounds were tested from low concentration to high concentration in order to avoid olfactory adaptation. A standard control mineral oil stimulation was performed at the beginning and the end of each recording as the blank control of the antennal responses. For each compound, EAG responses of at least four individual antennae of each bee species were recorded.

2.4. Y-Tube Olfactometer Test

Y-tube olfactometers (stem 25 cm, arms 18 cm, at an angle of 45°, internal diameter of 3.0 cm) were used for behavior choice tests to investigate the behavioral responses of bees to compounds. The test was performed in an odor-free room that was lit with a red LED bulb and maintained at around 25 °C. The olfactometer arms were connected to two glass gas desiccators, separately. Ten microliters of each compound was applied to a 3 × 1.5 cm2 filter paper strip that was immediately put into a glass gas desiccator. Each individual bee was supposed to make a choice between 10 µL of flower volatile compounds and 10 µL of mineral oil control. The compounds were evaporated for 30 s before air was passed from both arms to the stem; the air was cleaned by an activated charcoal filter and distilled water. The airflow pumped through each of the olfactometer arms was 500 mL/min. Bees were randomly collected from the entrances of the colonies and were observed independently for 5 min in the Y-olfactometer. For every five bees tested, the positions of the arms containing the control and treatment compounds were reversed, and a clean Y-tube was replaced for every 10 individuals tested. Bees who moved toward one of the compounds and stayed there for at least 5 s or moved two-thirds the length of a lateral arm were recorded as making successful choices. Each compound was tested with 30 A. mellifera individuals and 30 B. terrestris individuals separately, and then we analyzed the difference of choices.

2.5. Statistical Analyses

To analyze the content of volatiles, the peak area was proportionate to the quantity of total peak areas of an individual component. The EAG responses relative to the control (mineral oil) at different concentrations of each compound were presented as a percentage. Due to individual differences between bees, the data did not satisfy the normal distribution, and therefore non-parametric tests were used. Absolute mean EAG responses to the applied concentrations of the same odor compound were compared by one-way Kruskal–Wallis test. The preferences of the honey bees and bumble bees in the Y-tube olfactometer were analyzed with a chi-squared test (χ2) to explore whether significant differences existed in bees species, and data were transformed to percentages.

3. Results

3.1. GC–MS of Tomato Flower Volatiles

A total of 46 compounds were detected by GC–MS in tomato flower scents (Table 2). These components included a variety of olefins, as well as some ethers, alcohols, furans, aldehydes, and alkanes. Among these compounds, p-cymene and β-caryophyllene were the two most abundant compounds, with contents of 23.19% and 23.16%, respectively. In addition, the content of other compounds varied greatly, ranging from 0.04% to 11.74%.

3.2. EAG Response of Bees to Different Compounds

The normalized EAG responses of A. mellifera and B. terrestris to p-cymene, 1,3-xylene, toluene, 2,4-dimethyl styrene, piperitone, eucarvone, (+)-dihydrocarvone, linalool, 1-nonanal, tetradecane, β-caryophyllene, terpinolene, γ-terpinene, myrcene, β-ocimene, and (−)-β-pinene at six concentrations (10, 100, 200, 300, 400, and 500 μg/μL diluted in mineral oil) are shown in Figure 1.
Antennal sensitivity to the different compounds was not consistent across species. Of these, antennal responses of A. mellifera to toluene, (+)-dihydrocarvone, and 1-nonanal were greater than to mineral oil, at least at the highest concentration of 100 μg/μL. The response to (+)-dihydrocarvone was not concentration dependent. In B. terrestris, responses to toluene, (+)-dihydrocarvone, and 1-nonanal were significantly stronger than responses to mineral oil, and several others such as 1,3-xylene, piperitone, eucarvone, and β-ocimene were also stronger than mineral oil. The eucarvone did not elicit the antennal response at lower doses (10, 100, 200, 300 μg/μL). Conversely, the compounds toluene, 1,3-xylene, eucarvone, and β-ocimene elicited obvious concentration-dependent EAG responses. A. mellifera and B. terrestris showed significant species-specific differences between the amplitudes of their EAG response, with B. terrestris having a greater response to these compounds than A. mellifera.
The absolute mean EAG responses of bee species that had significant differences from volatile compounds at the different concentrations are shown in Table 3. For B. terrestris, there were three compounds that had significant differences among concentrations. The antennae responses to p-cymene (p = 0.006, Kruskal–Wallis test), toluene (p = 0.047, Kruskal–Wallis test), and 2,4-dimethyl styrene (p = 0.041, Kruskal–Wallis test) were positively correlated with concentrations. Moreover, 1,3-xylene at a concentration of 400 μg/μL, (+)-dihydrocarvone at a concentration of 300, and toluene at a concentration of 500 μg/μL were the top three highest EAG responses of B. terrestris.
Apis mellifera showed no significant difference from the tested compounds in terms of EAG response, except toluene (p = 0.015, Kruskal–Wallis test). The top three highest EAG responses of A. mellifera were to 1-nonanal at a concentration of 500 μg/μL (p > 0.05, Kruskal–Wallis test), (+)-dihydrocarvone at a concentration of 300 μg/μL (p > 0.05, Kruskal–Wallis test), and toluene at a concentration of 500 μg/μL.

3.3. Y-Tube Tests of Bee Choice to Compounds

Volatile compounds showed significantly different influence on the choice behavior of honey bees and bumble bees. Overall, A. mellifera showed significant avoidance responses to these three compounds, while B. terrestris showed being weakly attracted or remaining neutral.
For toluene, neither B. terrestris nor A. mellifera showed significant behavioral responses of avoidance or attraction (Figure 2A). At five concentrations (10, 100, 200, 400, and 500 μg/μL), B. terrestris showed a selection rate greater than 50%, but there were no statistically significant differences (p > 0.05, chi-squared tests). In contrast, the choice percentages of A. mellifera tending towards mineral oil control were higher than towards toluene, except at the concentration of 200 μg/μL (55%), although there were no significant differences in behavioral responses at all six concentrations (p > 0.05, chi-squared tests).
For (+)-dihydrocarvone, the behavioral responses of B. terrestris and A. mellifera were distinctly different (Figure 2B). The choice percentages of B. terrestris still did not have a significant difference (p > 0.05, chi-squared tests), and there were more B. terrestris individuals that tended towards the mineral oil control at concentrations of 10 and 500 μg/μL, while more individuals chose (+)-dihydrocarvone at the other three concentrations. A. mellifera exhibited an avoidance response to (+)-dihydrocarvone—the avoidance rate was as high as 99.33% at 500 μg/μL (χ2 = 11.267, df = 1, p = 0.001) and 77.78% at 400 μg/μL (χ2 = 5.556, df = 1, p = 0.023), but more bees were attracted to (+)-dihydrocarvone at the concentration of 100 μg/μL (χ2 = 0.80, df = 1, p = 0.24).
For 1,3-xylene, B. terrestris showed different behavioral responses at different concentrations (Figure 2C, bottom). At concentrations of 10, 200, and 300 μg/μL, more B. terrestris individuals tended towards the mineral oil control (61.9%, 63.64%, and 60.87, respectively); at the other three concentrations, B. terrestris showed an attractive response with choice percentages towards 1,3-xylene being 59.1% for 100 μg/μL, 58.3% for 400 μg/μL, and 60.0% for 500 μg/μL. However, there were no significant statistical differences in all six concentrations (p > 0.05, chi-squared tests).
For 1-nonanal, A. mellifera showed an avoidant behavior from the 10 μg/μL concentration to 500 μg/μL concentration, being negatively correlated with concentration and the repellent rate (Figure 2C, up). There were significant differences in repellent rates of 1-nonanal from 200 μg/μL concentration to 500 μg/μL concentration: 73.91% for 200 (χ2 = 5.261, df = 1, p = 0.024), 73.08% for 300 (χ2 = 5.538, df = 1, p = 0.02), 73.08% for 400 (χ2 = 5.538, df = 1, p = 0.02), and 76.19% for 500 (χ2 = 5.762, df = 1, p = 0.019).

4. Discussion

Floral scents are secondary metabolites of plants, functioning to attract insect pollinators and mediate the foraging behavior of bees [34]. Both bumble bees and honey bees have been reported to be important pollinators for tomatoes, and tomato flowers release special scents. The findings of this study revealed that honey bees and bumble bees had different EAG responses to tomato flower volatiles, and the two bee species showed different behavioral choices to the same compound. The foraging choices of honey bees and bumble bees may be different when pollinating in cultivated tomatoes. Therefore, using bumble bees for pollination in cultivated tomatoes is more efficient, but some effective measures can also be taken to improve the attractiveness of tomato flowers to honey bees. This study provides evidence for honey bees as unreliable pollinators for tomato pollination, which will help to further understand the plant−insect interrelationship.
Plant floral scents play crucial roles in mediating the foraging behavior of insect pollinators [35]. Floral volatiles are frequently inconsistent among times, locations, collection methods, and even duplicate samples collected at the same time. p-Cymene, terpinolene, and β-caryophyllene were the top three compounds with the highest content detected from our tomato flower samples, but neither bee species produced an antenna response to them, neither at high nor low concentrations. Other studies found that the volatiles collected from tomato flowers were dominated by α-pinene, p-cymene, 2-carene, and β-phellandrene, and Bombus impatiens preferentially foraged on flowers that released less β-phellandrene and (+)-2-carene relative to flowers that released higher amounts of these volatiles [32]. In addition, there are several compounds, such as linalool, that do not cause antennae responses of bees, although (8S,9R)-(E)-caryophyllene, p-cymene, α-terpinene, and linalool have been proven to be electrophysiologically attractive for bees or Aphidius ervi [28,29,36,37]. It can be seen that the relationship between the concentration of flower volatiles and bees is complex. Plant defense against herbivores may show a trade-off with pollinator attraction [38]. Therefore, the trade-off between herbivore defense and pollinator attraction in tomato plants requires further investigation.
Plant odors can attract and repel different bee pollinators [39]. Bees are able to perceive volatile molecules from flowers and respond differently to volatile compounds. The EAG response results in our study indicated that honey bees are less sensitive to tomato flower scents compared to bumble bees. Of all tested compounds, only 1-nonanal, (+)-dihydrocarvone, and toluene elicited strong antennal responses of A. mellifera when EAG responses were normalized to mineral oil. Moreover, these three compounds that caused A. mellifera antennae responses were all repellent to bees, especially 1-nonanal. Similarly, it was also confirmed that 1-nonanal is a repellent for both A. cerana and A. mellifera [40]. Dihydrocarvone is a proven repellent, with contact and fumigant toxicity to Rhyzopertha dominica, Sitophilus oryzae, Tribolium castaneum adults, and T.castaneum larvae at varying degrees [41]. Constituents from many spices and herbs are known to have insecticidal activities including fumigant and topical toxicity as well as antifeedant or repellent effects [42]. This may be a defense mechanism for plants, using special compounds to avoid predators or excessive ineffective pollination. It has been reported that volatile organic compounds from tomato plants can influence the foraging behavior of herbivore pests [29,31]. Honey bee antennae responses to very few compounds may explain their negative foraging behaviors of tomato flowers.
Volatile pheromones and plant aromas are essential sensory criteria for bumble bees in order to ensure the survival of the species. Bombus terrestris displayed pronounced antennal responses to seven compounds, showing they have greater discernment than honey bees. It has been widely known that bumble bees are effective bee pollinators of tomato as they are capable of buzz pollination to vibrate tomato anthers in order to release pollen grains, and only one visit is sufficient for full tomato pollination [43]. However, the innate responses of insect pollinators to plant floral scent are not always consistent with their foraging behaviors on plants [18]. These three compounds (1,3-xylene, (+)-dihydrocarvone, and toluene) also do not have an extremely behavioral attraction when compared to the apparent antenna potential responses in our study. Additionally, tomato flowers produce certain chemicals (β-phellandrene and 2-carene) that reduce the visitation frequency of B. impatiens to the flowers, thus impeding bee pollination [18]. The amount of these chemicals can be altered by different cultivation practices: vegetative plants produced less β-phellandrene and 2-carene and received more visits than generative plants [44]. Generally, pollinator behavioral responses to floral scent are dependent on both innate bias and learned experience, as some have shown modest aversion to tomato floral scent [18].

5. Conclusions

Honey bees exhibited aversion to compounds of tomato flower volatiles while bumble bees did not. In our study, honey bee antennae responded to only three compounds, fewer than the seven compounds to which bumble bee antennae responded. All these compounds were repellent to honey bees in behavior choice tests. These information may explain why tomatoes are not attractive to bees. However, in the present study, not all detected volatile compounds were obtained and used to test honey bees and bumble bees. More tests of other compounds are needed to fully explain the interaction of tomato and pollination bees. Further study could focus on the application of volatile compounds in pollination management to improve the honey bee pollination efficiency of tomato.

Author Contributions

Conceptualization, J.L., W.M. and Y.J.; methodology, J.L. and W.M.; software, J.L.; validation, J.L., J.Z. and J.S.; formal analysis, J.L.; resources, J.L., J.S., W.M. and Y.J.; data curation, J.L. and J.Z.; writing—original draft preparation, J.L.; writing—review and editing, J.L., H.Z., W.M. and Y.J.; visualization, J.L.; supervision, W.M. and Y.J.; project administration, W.M.; funding acquisition, W.M. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Shanxi Basic Research Program (202103021224150) and the China Agriculture Research System (Honeybee) (CARS-44-KXJ22).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

We would like to thank students Wenting Su from our laboratory and Ruirui Zheng form the College of Agriculture for their help in data collection and analysis in the EAG experiment.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Cooley, H.; Vallejo-Marín, M. Buzz-pollinated crops: A global review and meta-analysis of the effects of supplemental bee pollination in tomato. J. Econ. Entomol. 2021, 114, 505–519. [Google Scholar] [CrossRef] [PubMed]
  2. Amala, U.; Shivalingaswamy, T. Role of native buzz pollinator bees in enhancing fruit and seed set in tomatoes under open field conditions. J. Entomol. Zool. Stud. 2017, 5, 1742–1744. [Google Scholar]
  3. Higo, H.A.; Rice, N.D.; Winston, M.L.; Lewis, B. Honey bee (Hymenoptera: Apidae) distribution and potential for supplementary pollination in commercial tomato greenhouses during winter. J. Econ. Entomol. 2004, 97, 163–170. [Google Scholar] [CrossRef] [PubMed]
  4. Hanna, H.Y. Assisting natural wind pollination of field tomatoes with an air blower enhances yield. Hortscience 1999, 34, 846–847. [Google Scholar] [CrossRef]
  5. Ministry of Agricultural and Rural of People’s Republic of China. Summary of China National Agricultural Statistics. 2015 Statistical Division. Available online: http://www.moa.gov.cn/ (accessed on 25 August 2022).
  6. Zhang, H.; Han, C.; Breeze, T.D.; Li, M.; Mashilingi, S.K.; Hua, J.; Zhang, W.; Zhang, X.; Zhang, S.; An, J. Bumblebee pollination enhances yield and flavor of tomato in gobi desert greenhouses. Agriculture 2022, 12, 795. [Google Scholar] [CrossRef]
  7. Glover, B.J.; Bunnewell, S.; Martin, C. Convergent evolution within the genus Solanum: The specialised anther cone develops through alternative pathways. Gene 2004, 331, 1–7. [Google Scholar] [CrossRef]
  8. Vinícius-Silva, R.; Parma, D.D.F.; Tostes, R.B.; Arruda, V.M.; Werneck, M.D.V. Importance of bees in pollination of Solanum lycopersicum L. (Solanaceae) in open-field of the Southeast of Minas Gerais State, Brazil. Hoehnea 2017, 44, 349–360. [Google Scholar] [CrossRef] [Green Version]
  9. Cauich, O.; Quezada-Euán, J.J.G.; Macias-Macias, J.O.; Reyes-Oregel, V.; Medina-Peralta, S.; Parra-Tabla, V. Behavior and pollination efficiency of Nannotrigona perilampoides (Hymenoptera: Meliponini) on greenhouse tomatoes (Lycopersicon esculentum) in Subtropical México. J. Econ. Entomol. 2004, 97, 475–481. [Google Scholar] [CrossRef]
  10. Bell, M.C.; Spooner-Hart, R.N.; Haigh, A.M. Pollination of greenhouse tomatoes by the Australian bluebanded bee Amegilla (Zonamegilla) holmesi (Hymenoptera: Apidae). J. Econ. Entomol. 2006, 99, 437–442. [Google Scholar] [CrossRef]
  11. Vergara, C.H.; Fonseca-Buendía, P. Pollination of greenhouse tomatoes by the Mexican bumblebee Bombus ephippiatus (Hymenoptera: Apidae). J. Poll. Ecol. 2012, 7, 27–30. [Google Scholar] [CrossRef]
  12. Ahmad, M.; Bodlah, I.; Mehmood, K.; Sheikh, U.A.A.; Aziz, M.A. Pollination and foraging potential of European bumblebee, Bombus terrestris (Hymenoptera: Apidae) on tomato crop under greenhouse system. Pak. J. Zool. 2015, 47, 1279–1285. [Google Scholar]
  13. Garibaldi, L.A.; Aizen, M.A.; Cunningham, S.; Klein, A.M. Pollinator shortage and global crop yield: Looking at the whole spectrum of pollinator dependency. Commun. Integr. Biol. 2009, 2, 37–39. [Google Scholar] [CrossRef]
  14. Velthuis, H.H.W.; van Doorn, A. A century of advances in bumblebee domestication and the economic and environmental aspects of its commercialization for pollination. Apidologie 2006, 37, 421–451. [Google Scholar] [CrossRef] [Green Version]
  15. Hogendoorn, K.; Gross, C.L.; Sedgley, M.; Keller, M.A. Increased tomato yield through pollination by native Australian Amegilla chlorocyanea (Hymenoptera: Anthophoridae). J. Econ. Entomol. 2006, 99, 828–833. [Google Scholar] [CrossRef]
  16. Cribb, D.M.; Hand, D.W.; Edmondson, R.N. A comparative study of the effects of using the honeybee as a pollinating agent of glasshouse tomato. J. Hortic. Sci. 2015, 68, 79–88. [Google Scholar] [CrossRef]
  17. Paydas, S.; Eti, S.; Kaftanoglu, O.; Yasa, E.; Derin, K. Effects of pollination of strawberries grown in plastic greenhouses by honeybees and bumblebees on the yield and quality of the fruits. Acta Hortic. 1998, 513, 443–452. [Google Scholar] [CrossRef]
  18. Zhang, H.; Shan, S.; Gu, S.; Huang, X.; Li, Z.; Khashaveh, A.; Zhang, Y. Prior experience with food reward influences the behavioral responses of the honeybee Apis mellifera and the bumblebee Bombus lantschouensis to tomato floral scent. Insects 2020, 11, 884. [Google Scholar] [CrossRef]
  19. Sabara, H.A.; Gillespie, D.R.; Elle, E.; Winston, M.L. Influence of brood, vent screening, and time of year on honey bee (Hymenoptera: Apidae) pollination and fruit quality of greenhouse tomatoes. J. Econ. Entomol. 2004, 97, 727–734. [Google Scholar] [CrossRef]
  20. Rachersberger, M.; Cordeiro, G.D.; Schäffler, I.; Dötterl, S. Honeybee pollinators use visual and floral scent cues to find apple (Malus domestica) flowers. J. Agr. Food Chem. 2019, 67, 13221–13227. [Google Scholar] [CrossRef]
  21. Giurfa, M.; Núñez, J.; Backhaus, W. Odour and colour information in the foraging choice behaviour of the honeybee. J. Comp. Physiol. A 1994, 175, 773–779. [Google Scholar] [CrossRef]
  22. Zhang, S.W.; Schwarz, S.; Pahl, M.; Zhu, H.; Tautz, J. Honeybee memory: A honeybee knows what to do and when. J. Exp. Biol. 2006, 209, 4420–4428. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Kaiser, L.; De Jong, R. Multi-odour memory influenced by learning order. Behav. Process. 1993, 30, 175–183. [Google Scholar] [CrossRef]
  24. Knauer, A.C.; Schiestl, F.P. Bees use honest floral signals as indicators of reward when visiting flowers. Ecol. Lett. 2015, 18, 135–143. [Google Scholar] [CrossRef] [PubMed]
  25. Haber, A.I.; Sims, J.W.; Mescher, M.C.; De Moraes, C.M.; Carr, D.E. A key floral scent component (β-trans-bergamotene) drives pollinator preferences independently of pollen rewards in seep monkeyflower. Funct. Ecol. 2019, 33, 218–228. [Google Scholar] [CrossRef]
  26. Byers, K.J.R.P.; Bradshaw, H.D.; Riffell, J.A. Three floral volatiles contribute to differential pollinator attraction in monkeyflowers (Mimulus). J. Exp. Biol. 2013, 217, 614–623. [Google Scholar] [CrossRef] [Green Version]
  27. Twidle, A.M.; Mas, F.; Harper, A.R.; Horner, R.M.; Welsh, T.J.; Suckling, D.M. Kiwifruit flower odor perception and recognition by honey bees, Apis mellifera. J. Agr. Food Chem. 2015, 63, 5597–5602. [Google Scholar] [CrossRef]
  28. Su, W.; Ma, W.; Zhang, Q.; Hu, X.; Ding, G.; Jiang, Y.; Huang, J. Honey bee foraging decisions influenced by pear volatiles. Agriculture 2022, 12, 1074. [Google Scholar] [CrossRef]
  29. Sasso, R.; Iodice, L.; Woodcock, C.M.; Pickett, J.A.; Guerrieri, E. Electrophysiological and behavioural responses of Aphidius ervi (Hymenoptera: Braconidae) to tomato plant volatiles. Chemoecology 2009, 19, 195–201. [Google Scholar] [CrossRef]
  30. Paudel, S.; Lin, P.; Foolad, M.R.; Ali, J.G.; Rajotte, E.G.; Felton, G.W. Induced plant defenses against herbivory in cultivated and wild tomato. J. Chem. Ecol. 2019, 45, 693–707. [Google Scholar] [CrossRef]
  31. Darshanee, H.L.C.; Ren, H.; Ahmed, N.; Zhang, Z.; Liu, Y.; Liu, T. Volatile-mediated attraction of greenhouse whitefly Trialeurodes vaporariorum to tomato and eggplant. Front. Plant Sci. 2017, 8, 1285. [Google Scholar] [CrossRef] [Green Version]
  32. Morse, A.; Kevan, P.; Shipp, L.; Khosla, S.; Mcgarvey, B. The impact of greenhouse tomato (Solanales: Solanaceae) floral volatiles on bumble bee (Hymenoptera: Apidae) pollination. Environ. Entomol. 2012, 41, 855–864. [Google Scholar] [CrossRef]
  33. Balakrishnan, K.; Holighaus, G.; Weißbecker, B.; Schütz, S. Electroantennographic responses of red flour beetle Tribolium castaneum Herbst (Coleoptera: Tenebrionidae) to volatile organic compounds. J. Appl. Entomol. 2016, 141, 477–486. [Google Scholar] [CrossRef]
  34. Krishna, S.; Keasar, T. Morphological complexity as a floral signal: From perception by insect pollinators to co-evolutionary implications. Int. J. Mol. Sci. 2018, 19, 1681. [Google Scholar] [CrossRef] [Green Version]
  35. Kessler, D.; Gase, K.; Baldwin, I.T. Field experiments with transformed plants reveal the sense of floral scents. Science 2008, 321, 1200–1202. [Google Scholar] [CrossRef] [Green Version]
  36. Blight, M.M.; Métayer, M.L.; Delègue, M.P.; Pickett, J.A.; Marion-Poll, F.; Wadhams, L.J. Identification of floral volatiles involved in recognition of oilseed rape flowers, Brassica napus by honeybees, Apis mellifera. J. Chem. Ecol. 1997, 23, 1715–1727. [Google Scholar] [CrossRef]
  37. Borg-Karlson, A.; Tengö, J.; Valterová, I.; Unelius, C.R.; Taghizadeh, T.; Tolasch, T.; Francke, W. (S)-(+)-Linalool, a mate attractant pheromone component in the bee Colletes cunicularius. J. Chem. Ecol. 2003, 29, 1–14. [Google Scholar] [CrossRef]
  38. Lucas Barbosa, D.; Sun, P.; Hakman, A.; Beek, T.A.; Loon, J.J.A.; Dicke, M. Visual and odour cues: Plant responses to pollination and herbivory affect the behaviour of flower visitors. Funct. Ecol. 2016, 30, 431–441. [Google Scholar] [CrossRef]
  39. Larue, A.A.C.; Raguso, R.A.; Junker, R.R. Experimental manipulation of floral scent bouquets restructures flower-visitor interactions in the field. J. Anim. Ecol. 2016, 85, 396–408. [Google Scholar] [CrossRef]
  40. Ma, W.H.; Long, D.L.; Wang, Y.; Li, X.Y.; Huang, J.X.; Shen, J.S.; Su, W.T.; Jiang, Y.S.; Li, J. Electrophysiological and behavioral responses of Asian and European honeybees to pear flower volatiles. J. Asia-Pac. Entomol. 2021, 24, 221–228. [Google Scholar] [CrossRef]
  41. Tripathi, A.K.; Prajapati, V.; Kumar, S. Bioactivities of l-carvone, d-carvone, and dihydrocarvone toward three stored product beetles. J. Econ. Entomol. 2003, 96, 1594–1601. [Google Scholar] [CrossRef]
  42. Huang, Y.; Lam, S.L.; Ho, S.H. Bioactivities of essential oil from Elletaria cardamomum (L.) Maton. to Sitophilus zeamais Motschulsky and Tribolium castaneum (Herbst). J. Stored Prod. Res. 2000, 36, 107–117. [Google Scholar] [CrossRef]
  43. Nunes-Silva, P.; Hrncir, M.; Shipp, L.; Kevan, P.; Imperatriz-Fonseca, V.L. The behaviour of Bombus impatiens (Apidae, Bombini) on tomato (Lycopersicon esculentum Mill., Solanaceae) flowers: Pollination and reward perception. J. Poll. Ecol. 2013, 11, 33–40. [Google Scholar] [CrossRef]
  44. Morse, A. Floral Scent and Pollination of Greenhouse Tomatoes. Master Thesis, The University of Guelph, Guelph, Canada, 2009. [Google Scholar]
Figure 1. Normalized EAG responses of bees to volatile compounds. (top) Normalized EAG response relative to mineral oil of B. terrestris; (bottom) normalized EAG response relative to mineral oil of A. mellifera. The bolded black dotted line represents the response of the control mineral oil (100%).
Figure 1. Normalized EAG responses of bees to volatile compounds. (top) Normalized EAG response relative to mineral oil of B. terrestris; (bottom) normalized EAG response relative to mineral oil of A. mellifera. The bolded black dotted line represents the response of the control mineral oil (100%).
Insects 13 00987 g001
Figure 2. Y-tube behavior choices of bees towards different compounds at different concentrations. (A) The choice percentage of B. terrestris and A. mellifera to toluene (ns: p > 0.05). (B) The choice percentage of B. terrestris and A. mellifera to (+)-dihydrocarvone (ns: p > 0.05; * 0.01 < p < 0.05, and ** 0.001 < p < 0.01). (C) The choice percentage of A. mellifera to 1-nonanal and B. terrestris to 1,3-xylene (ns: p > 0.05; * 0.01 < p < 0.05).
Figure 2. Y-tube behavior choices of bees towards different compounds at different concentrations. (A) The choice percentage of B. terrestris and A. mellifera to toluene (ns: p > 0.05). (B) The choice percentage of B. terrestris and A. mellifera to (+)-dihydrocarvone (ns: p > 0.05; * 0.01 < p < 0.05, and ** 0.001 < p < 0.01). (C) The choice percentage of A. mellifera to 1-nonanal and B. terrestris to 1,3-xylene (ns: p > 0.05; * 0.01 < p < 0.05).
Insects 13 00987 g002
Table 1. Volatile compounds used as olfactory stimuli in the EAG and the Y-tube experiments tested with pollinators A. mellifera and B. terrestris.
Table 1. Volatile compounds used as olfactory stimuli in the EAG and the Y-tube experiments tested with pollinators A. mellifera and B. terrestris.
No.CompoundsCAS NumberCompanyPurity
1β-Caryophyllene87-44-5Macklin 1>80%
2Terpinolene586-62-9Aladdin 285%
3γ-Terpinene99-85-4Aladdin>95%
4β-Ocimene13877-91-3Aladdin>90%
5Myrcene123-35-3Aladdin≥90.0%
6(−)-β-Pinene18172-67-3Aladdin98%
7p-Cymene99-87-6Aladdin≥99.5%
81,3-Xylene108-38-3Aladdin>99.0%
9Toluene108-88-3Sigma-Aldrich 399.80%
102,4-Dimethyl styrene1195-32-0Aladdin>95%
11Piperitone89-81-6Aladdin>94.0%
12Eucarvone503-93-5Macklin≥96%
13(+)-Dihydrocarvone7764-50-3Aladdin98%
14Linalool78-70-6Aladdin98%
151-Nonanal124-19-6Aladdin96%
16Tetradecane629-59-4Aladdin>99%
17Mineral oil8042-47-5Aladdin99%
1 Macklin: Shanghai, China; 2 Aladdin: Shanghai, China; 3 Sigma-Aldrich: Steinheim, Germany.
Table 2. Number and relative peak area (% of single compounds) of compounds detected in flower volatile samples of tomato.
Table 2. Number and relative peak area (% of single compounds) of compounds detected in flower volatile samples of tomato.
No.CASCompoundsRelative Content (%)
1115-10-6Dimethyl ether0.057
2645-88-5O-(Carboxymethyl)hydroxylamine0.058
387980-11-83-Amino-2,3-dihydrobenzoic acid0.946
4108-88-3Toluene0.389
5108-38-31,3-Xylene0.079
63479-89-81,3,5-Cycloheptatriene, 3,7,7-trimethyl-0.537
799-87-6p-Cymene23.185
8460-01-52,6-Dimethyl-1,3,5,7-octatetraene, E,E-0.119
918172-67-3()-β-Pinene0.309
10127-91-3β-Pinene3.23
11123-35-3Myrcene3.23
1228634-89-1Bicyclo [3.1.0]hex-2-ene, 4-methyl-1-(1-methylethyl)-0.083
13527-84-4ο-Cymene0.891
143779-61-1(E)-β-Ocimene0.672
1513877-91-3β-Ocimene4.488
1699-85-4γ-Terpinene4.605
171195-32-02,4-Dimethyl styrene0.135
18586-62-9Terpinolene11.736
1978-70-6Linalool0.145
20124-19-61-Nonanal0.1
2118368-95-11,3,8-ρ-Menthatriene0.405
2238667-10-63,3,5,5-Tetramethylcyclopentene2.764
2321391-98-01-Cyclohexene-1-carboxaldehyde,4-(1-methylethyl)-1.131
2470786-44-63,6-Dimethyl-2,3,3a,4,5,7a-hexahydro-benzofuran1.304
257764-50-3(+)-Dihydrocarvone0.143
261197-06-42-Cyclohexen-1-ol,2-methyl-5-(1-methylethenyl)-, (1R,5R)-rel-0.044
27503-93-5Eucarvone0.085
2889-81-6Piperitone0.395
2920307-84-0(+/−)-δ-Elemene4.403
3017699-14-8(−)-α-Cubebene0.051
31469-92-1(−)-Clovene0.049
323856-25-5α-Copaene0.51
33515-13-9β-Elemene0.867
34629-59-4Tetradecane0.166
35118-65-0Isocaryophyllene0.137
3687-44-5β-Caryophyllene23.164
37136296-38-310,10-Dimethyl-2,6-dimethylenebicyclo [7.2.0]undecane0.302
3829873-99-2γ-Elemene0.136
396753-98-6α-Caryophyllene5.545
40483-77-2(−)-Calamenene0.176
4195910-36-4(−)-Isoledene1.074
42523-47-7β-Cadinene1.435
43483-76-1Δ-Cadinene0.224
446813-21-4Selina-3,7(11)-diene0.16
451139-30-6Caryophyllene oxide0.132
4677171-55-2Spathulenol0.205
The bold font represents the compounds we purchased for the use of EAG and Y-tube test.
Table 3. Absolute mean EAG response with significant differences of A. mellifera and B. terrestris to different concentrations of the same compound.
Table 3. Absolute mean EAG response with significant differences of A. mellifera and B. terrestris to different concentrations of the same compound.
Absolute Mean EAG Response to Different Compounds (Diluted in Mineral Oil)
CONC (μg/μL)p-Cymene1,3-XyleneToluene2,4-Dimethyl Styrene(+)-Dihydrocarvone1-Nonanal
B. terrestrisA. melliferaB. terrestrisA. melliferaB. terrestrisA. melliferaB. terrestrisA. melliferaB. terrestrisA. melliferaB. terrestrisA. mellifera
100.61 ± 0.24 b0.11 ± 0.13 a0.70 ± 0.61 a0.13 ± 0.26 a0.04 ± 0.06 b0.07 ± 0.11 b0.10 ± 0.09 b0.13 ± 0.04 a0.27 ± 0.10 a0.45 ± 0.41 a0.22 ± 0.34 a0.86 ± 0.63 a
1000.16 ± 0.18 b0.24 ± 0.15 a1.99 ± 1.43 a1.37 ± 0.66 a0.41 ± 0.14 a1.35 ± 0.45 a0.17 ± 0.10 ab0.12 ± 0.14 a1.38 ± 0.16 a1.06 ± 0.65 a0.61 ± 0.70 a4.12 ± 1.92 a
2000.12 ± 0.25 b0.07 ± 0.15 a2.34 ± 1.66 a1.31 ± 0.63 a0.84 ± 0.23 a1.25 ± 0.40 a0.61 ± 0.24 a0.37 ± 0.20 a1.31 ± 0.38 a1.16 ± 0.64 a0.84 ± 0.72 a4.32 ± 2.02 a
3000.73 ± 0.06 a0.19 ± 0.14 a2.57 ± 1.84 a1.52 ± 0.64 a0.80 ± 0.18 a1.47 ± 0.37 a0.84 ± 0.27 a0.20 ± 0.13 a1.80 ± 0.46 a1.75 ± 0.72 a0.87 ± 0.93 a4.70 ± 2.17 a
4000.54 ± 0.11 a0.42 ± 0.20 a2.61 ± 2.00 a1.52 ± 0.68 a0.87 ± 0.30 a1.55 ± 0.33 a0.84 ± 0.36 a0.12 ± 0.10 a1.54 ± 0.56 a1.69 ± 0.78 a1.14 ± 0.87 a4.65 ± 2.13 a
5000.53 ± 0.14 a0.27 ± 0.09 a2.42 ± 1.85 a1.57 ± 0.79 a1.03 ± 0.36 a1.91 ± 0.34 a0.65 ± 0.22 a0.25 ± 0.20 a1.61 ± 0.48 a1.72 ± 0.81 a0.88 ± 0.94 a4.78 ± 2.24 a
The bold font represents the top three antennae responses of bees to compounds. Different letters indicating the significant difference among different concentrations of same compounds (p < 0.05, one-way ANOVA followed by Kruskal–Wallis test). Values are means (± standard error, n = 4 for B. terrestris, n = 6 for A. mellifera).
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Liu, J.; Zhang, J.; Shen, J.; Zhao, H.; Ma, W.; Jiang, Y. Differences in EAG Response and Behavioral Choices between Honey Bee and Bumble Bee to Tomato Flower Volatiles. Insects 2022, 13, 987. https://doi.org/10.3390/insects13110987

AMA Style

Liu J, Zhang J, Shen J, Zhao H, Ma W, Jiang Y. Differences in EAG Response and Behavioral Choices between Honey Bee and Bumble Bee to Tomato Flower Volatiles. Insects. 2022; 13(11):987. https://doi.org/10.3390/insects13110987

Chicago/Turabian Style

Liu, Jinjia, Jiangchao Zhang, Jinshan Shen, Huiting Zhao, Weihua Ma, and Yusuo Jiang. 2022. "Differences in EAG Response and Behavioral Choices between Honey Bee and Bumble Bee to Tomato Flower Volatiles" Insects 13, no. 11: 987. https://doi.org/10.3390/insects13110987

APA Style

Liu, J., Zhang, J., Shen, J., Zhao, H., Ma, W., & Jiang, Y. (2022). Differences in EAG Response and Behavioral Choices between Honey Bee and Bumble Bee to Tomato Flower Volatiles. Insects, 13(11), 987. https://doi.org/10.3390/insects13110987

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop