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Mazzoni V, Anfora G, Cocroft RB, Fatouros NE, Groot AT, Gross J, Hill PSM, Hoch H, Ioriatti C, Nieri R, Pekas A, Stacconi MVR, Stelinski LL, Takanashi T, Virant-Doberlet M, Wessel A. Bridging biotremology and chemical ecology: a new terminology. TRENDS IN PLANT SCIENCE 2024; 29:848-855. [PMID: 38744599 DOI: 10.1016/j.tplants.2024.04.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Revised: 03/25/2024] [Accepted: 04/17/2024] [Indexed: 05/16/2024]
Abstract
Living organisms use both chemical and mechanical stimuli to survive in their environment. Substrate-borne vibrations play a significant role in mediating behaviors in animals and inducing physiological responses in plants, leading to the emergence of the discipline of biotremology. Biotremology is experiencing rapid growth both in fundamental research and in applications like pest control, drawing attention from diverse audiences. As parallels with concepts and approaches in chemical ecology emerge, there is a pressing need for a shared standardized vocabulary in the area of overlap for mutual understanding. In this article, we propose an updated set of terms in biotremology rooted in chemical ecology, using the suffix '-done' derived from the classic Greek word 'δονέω' (pronounced 'doneo'), meaning 'to shake'.
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Affiliation(s)
- Valerio Mazzoni
- Fondazione Edmund Mach, Research and Innovation Centre, San Michele all'Adige, Italy.
| | - Gianfranco Anfora
- Fondazione Edmund Mach, Research and Innovation Centre, San Michele all'Adige, Italy; Centre Agriculture Food Environment (C3A), University of Trento, Trento, Italy
| | - Reginald B Cocroft
- Division of Biological Sciences, University of Missouri, Columbia, MO, USA
| | - Nina E Fatouros
- Wageningen University, Biosystematics Group, Wageningen, The Netherlands
| | - Astrid T Groot
- Evolutionary and Population Biology (EPB), Institute for Biodiversity and Ecosystem Dynamics (IBED), University of Amsterdam, Amsterdam, The Netherlands
| | - Jürgen Gross
- Federal Research Institute for Cultivated Plants, Institute for Plant Protection in Fruit Crops and Viticulture, Julius Kühn-Institut, Dossenheim, Germany
| | | | - Hannelore Hoch
- Center for Integrative Biodiversity Discovery, Museum für Naturkunde-Leibniz-Institute for Evolution and Biodiversity Science at Humboldt University Berlin, Berlin, Germany
| | - Claudio Ioriatti
- Fondazione Edmund Mach, Research and Innovation Centre, San Michele all'Adige, Italy
| | - Rachele Nieri
- Centre Agriculture Food Environment (C3A), University of Trento, Trento, Italy; Department of Mathematics, University of Trento, Trento, Italy
| | - Apostolos Pekas
- Instituto Agroforestal Mediterráneo, Universitat Politècnica de València, València, Spain
| | | | - Lukasz L Stelinski
- Department of Entomology and Nematology, Citrus Research and Education Center, University of Florida, Lake Alfred, FL, USA
| | - Takuma Takanashi
- Tohoku Research Center, Forestry and Forest Products Research Institute, Iwate, Japan
| | - Meta Virant-Doberlet
- Department of Organisms and Ecosystems Research, National Institute of Biology, Ljubljana, Slovenia
| | - Andreas Wessel
- Center for Integrative Biodiversity Discovery, Museum für Naturkunde-Leibniz-Institute for Evolution and Biodiversity Science at Humboldt University Berlin, Berlin, Germany
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Gilbert R, Uetz GW. Infection influences vibratory signal components in a wolf spider. Ethology 2022. [DOI: 10.1111/eth.13319] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Rachel Gilbert
- Department of Biological Sciences University of Cincinnati Cincinnati Ohio USA
- NASA Ames Research Center Mountain View California USA
| | - George W. Uetz
- Department of Biological Sciences University of Cincinnati Cincinnati Ohio USA
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Koenig PA, Smith ML, Horowitz LH, Palmer DM, Petersen KH. Artificial shaking signals in honey bee colonies elicit natural responses. Sci Rep 2020; 10:3746. [PMID: 32111924 PMCID: PMC7048926 DOI: 10.1038/s41598-020-60421-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Accepted: 02/12/2020] [Indexed: 11/18/2022] Open
Abstract
Honey bee signals are primarily studied through natural observation combined with manipulations of the colony or environment, not direct manipulation of the signal stimulus or receivers. Consequently, we know little about which signal aspects are necessary to reproduce behavioral responses. Here, we focus on the shaking signal, wherein a worker grabs onto another bee and vibrates. All castes receive shaking signals, but individual responses depend on context, and the signal may be multi-modal (mechanical, odor, sound, etc.). We designed a tool to mimic the shaking signal. We tested whether a purely mechanical stimulus elicited the same behavioral response as a natural shaking signal, teasing apart the effects of signal and receiver characteristics. We found that both workers and drones increased their movement after being artificially shaken, and that shaken drones were more likely to engage in feeding and grooming than a sham control. These behavioral changes support the idea that the shaking signal serves to generally increase worker activity, but also serves to activate male reproductives (drones). With this tool, we show that vibration itself is responsible for eliciting much of the shaking signal’s behavioral response, in one of the few examples of direct playback in social insects.
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Affiliation(s)
- Phoebe A Koenig
- Cornell University, Department of Electrical and Computer Engineering, Ithaca, 14850, NY, United States.
| | - Michael L Smith
- Max Planck Institute of Animal Behavior, Department of Collective Behavior, Konstanz, 78464, Germany.,University of Konstanz, Department of Biology, Konstanz, 78464, Germany.,Centre for the Advanced Study of Animal Behaviour, University of Konstanz, Konstanz, 78464, Germany
| | - Logan H Horowitz
- Cornell University, Department of Electrical and Computer Engineering, Ithaca, 14850, NY, United States
| | - Daniel M Palmer
- Cornell University, Department of Electrical and Computer Engineering, Ithaca, 14850, NY, United States
| | - Kirstin H Petersen
- Cornell University, Department of Electrical and Computer Engineering, Ithaca, 14850, NY, United States
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Extensive Vibrational Characterisation and Long-Term Monitoring of Honeybee Dorso-Ventral Abdominal Vibration signals. Sci Rep 2018; 8:14571. [PMID: 30275492 PMCID: PMC6167329 DOI: 10.1038/s41598-018-32931-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2018] [Accepted: 09/12/2018] [Indexed: 11/08/2022] Open
Abstract
A very common honeybee signal is the dorso-ventral abdominal vibration (DVAV) signal, widely accepted as a modulatory signal meaning: “prepare for greater activity”. In this study, using ultra-sensitive accelerometer technology embedded in the honeycomb, we visually confirm the one-to-one relationship between a DVAV signal being produced and the resulting accelerometer waveform, allowing the measurement of DVAV signals without relying on any visual inspection. We then demonstrate a novel method for the continuous in-situ non-invasive automated monitoring of this honeybee signal, not previously known to induce any vibration into the honeycomb, and most often inaudible to human hearing. We monitored a total of three hives in the UK and France, showing that the signal is very common, highly repeatable and occurs more frequently at night, exhibiting a distinct decrease in instances and increase in amplitude towards mid-afternoon. We also show an unprecedented increase in the cumulative amplitude of DVAV signals occurring in the hours preceding and following a primary swarm. We conclude that DVAV signals may have additional functions beyond solely being a foraging activation signal, and that the amplitude of the signal might be indicative of the switching of its purpose.
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Villar G, Wolfson MD, Hefetz A, Grozinger CM. Evaluating the Role of Drone-Produced Chemical Signals in Mediating Social Interactions in Honey Bees (Apis mellifera). J Chem Ecol 2017; 44:1-8. [PMID: 29209933 DOI: 10.1007/s10886-017-0912-2] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2017] [Revised: 11/09/2017] [Accepted: 11/20/2017] [Indexed: 10/18/2022]
Abstract
Pheromones play a critical role in shaping societies of social insects, including honey bees, Apis mellifera. While diverse functions have been ascribed to queen- and worker-produced compounds, few studies have explored the identity and function of male-produced (drone) compounds. However, several lines of evidence suggest that drones engage in a variety of social interactions inside and outside of the colony. Here we elucidate the chemical composition of extracts of the drone mandibular gland, and test the hypothesis that compounds produced in these glands, or a synthetic blend consisting of the six main compounds, mediate drone social interactions in and out of the colony. Drone mandibular glands primarily produce a blend of saturated, unsaturated and methyl branched fatty acids ranging in chain length from nonanoic to docosanoic acids, and both gland extracts and synthetic blends of these chemicals serve to attract drones outside of the hive, but do not attract workers inside the hive. These studies shed light on the role drones and drone-produced chemicals have on mediating social interactions with other drones and highlight their potential importance in communicating with other castes.
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Affiliation(s)
- Gabriel Villar
- Department of Entomology, Center for Pollinator Research, Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA, 16802, USA.
| | - Megan D Wolfson
- Department of Entomology, Center for Pollinator Research, Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Abraham Hefetz
- Department of Zoology, George S. Wise Faculty of Life Sciences, Tel Aviv University, 69978, Ramat Aviv, Israel
| | - Christina M Grozinger
- Department of Entomology, Center for Pollinator Research, Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA, 16802, USA
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Bastin F, Savarit F, Lafon G, Sandoz JC. Age-specific olfactory attraction between Western honey bee drones (Apis mellifera) and its chemical basis. PLoS One 2017; 12:e0185949. [PMID: 28977020 PMCID: PMC5627955 DOI: 10.1371/journal.pone.0185949] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2017] [Accepted: 09/21/2017] [Indexed: 11/23/2022] Open
Abstract
During the mating season, drones (males) of the Western honey bee (Apis mellifera) form congregations numbering thousands high in the air. Virgin queens arrive at these congregations after they have formed and mate on the fly with 15-20 drones. To explain the formation of drone congregations, a drone-produced aggregation pheromone has been proposed many years ago but due to the low accessibility of natural mating sites in bees, its study has progressed slowly. Recently, we used a walking simulator in controlled laboratory conditions to show that drones are indeed attracted by groups of other drones. Since these previous experiments were carried out with drones captured when flying out of the hive, it is currently unclear if this olfactory attraction behaviour is related to the drones’ sexual maturity (usually reached between 9 and 12 days) and may thus be indicative of a possible role in congregation formation, or if it is observed at any age and may represent in-hive aggregation. We thus assessed here the dependency of drone olfactory attraction on their age. First, we performed behavioural experiments in the walking simulator to measure olfactory preferences of drones in three age groups from 2-3 to 12-15 days. Then, we performed chemical analyses in the same age groups to evaluate whether chemical substances produced by the drones may explain age differences in olfactory attraction. We show that honey bee drones are attracted by conspecifics of the same age when they are sexually mature (12-15 days old) but not when they are younger (2-3 and 7-8 days old). In parallel, our data show that drones’ chemical profile changes with age, including its most volatile fraction. These results are discussed in the context of drone mutual attraction both within the hive and at drone congregations.
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Affiliation(s)
- Florian Bastin
- Evolution, Genomes, Behaviour and Ecology, CNRS (UMR 9191), Univ Paris-Sud, IRD, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Fabrice Savarit
- Laboratoire d’Ethologie Expérimentale et Comparée, Université Paris 13, Sorbonne Paris Cité, Villetaneuse, France
| | - Grégory Lafon
- Evolution, Genomes, Behaviour and Ecology, CNRS (UMR 9191), Univ Paris-Sud, IRD, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Jean-Christophe Sandoz
- Evolution, Genomes, Behaviour and Ecology, CNRS (UMR 9191), Univ Paris-Sud, IRD, Université Paris-Saclay, Gif-sur-Yvette, France
- * E-mail:
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Streinzer M, Brockmann A, Nagaraja N, Spaethe J. Sex and caste-specific variation in compound eye morphology of five honeybee species. PLoS One 2013; 8:e57702. [PMID: 23460896 PMCID: PMC3584085 DOI: 10.1371/journal.pone.0057702] [Citation(s) in RCA: 60] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2012] [Accepted: 01/24/2013] [Indexed: 11/30/2022] Open
Abstract
Ranging from dwarfs to giants, the species of honeybees show remarkable differences in body size that have placed evolutionary constrains on the size of sensory organs and the brain. Colonies comprise three adult phenotypes, drones and two female castes, the reproductive queen and sterile workers. The phenotypes differ with respect to tasks and thus selection pressures which additionally constrain the shape of sensory systems. In a first step to explore the variability and interaction between species size-limitations and sex and caste-specific selection pressures in sensory and neural structures in honeybees, we compared eye size, ommatidia number and distribution of facet lens diameters in drones, queens and workers of five species (Apis andreniformis, A. florea, A. dorsata, A. mellifera, A. cerana). In these species, male and female eyes show a consistent sex-specific organization with respect to eye size and regional specialization of facet diameters. Drones possess distinctly enlarged eyes with large dorsal facets. Aside from these general patterns, we found signs of unique adaptations in eyes of A. florea and A. dorsata drones. In both species, drone eyes are disproportionately enlarged. In A. dorsata the increased eye size results from enlarged facets, a likely adaptation to crepuscular mating flights. In contrast, the relative enlargement of A. florea drone eyes results from an increase in ommatidia number, suggesting strong selection for high spatial resolution. Comparison of eye morphology and published mating flight times indicates a correlation between overall light sensitivity and species-specific mating flight times. The correlation suggests an important role of ambient light intensities in the regulation of species-specific mating flight times and the evolution of the visual system. Our study further deepens insights into visual adaptations within the genus Apis and opens up future perspectives for research to better understand the timing mechanisms and sensory physiology of mating related signals.
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Affiliation(s)
- Martin Streinzer
- Department of Behavioral Physiology and Sociobiology, Biozentrum, University of Würzburg, Würzburg, Germany.
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Stout TL, Slone JD, Schneider SS. Age and Behavior of Honey Bee Workers, Apis mellifera, that Interact with Drones. Ethology 2011. [DOI: 10.1111/j.1439-0310.2011.01895.x] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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A mechanical signal biases caste development in a social wasp. Curr Biol 2011; 21:231-5. [PMID: 21256023 DOI: 10.1016/j.cub.2011.01.003] [Citation(s) in RCA: 60] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2010] [Revised: 12/08/2010] [Accepted: 12/31/2010] [Indexed: 11/21/2022]
Abstract
Understanding the proximate mechanisms of caste development in eusocial taxa can reveal how social species evolved from solitary ancestors. In Polistes wasps, the current paradigm holds that differential amounts of nutrition during the larval stage cause the divergence of worker and gyne (potential queen) castes. But nutrition level alone cannot explain how the first few females to be produced in a colony develop rapidly yet have small body sizes and worker phenotypes. Here, we provide evidence that a mechanical signal biases caste toward a worker phenotype. In Polistes fuscatus, the signal takes the form of antennal drumming (AD), wherein a female trills her antennae synchronously on the rims of nest cells while feeding prey-liquid to larvae. The frequency of AD occurrence is high early in the colony cycle, when larvae destined to become workers are being reared, and low late in the cycle, when gynes are being reared. Subjecting gyne-destined brood to simulated AD-frequency vibrations caused them to emerge as adults with reduced fat stores, a worker trait. This suggests that AD influences the larval developmental trajectory by inhibiting a physiological element that is necessary to trigger diapause, a gyne trait.
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