1
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Uhrhan MJ, Bomphrey RJ, Lin HT. Flow sensing on dragonfly wings. Ann N Y Acad Sci 2024; 1536:107-121. [PMID: 38837424 DOI: 10.1111/nyas.15152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/07/2024]
Abstract
One feature of animal wings is their embedded mechanosensory system that can support flight control. Insect wings are particularly interesting as they are highly deformable yet the actuation is limited to the wing base. It is established that strain sensors on insect wings can directly mediate reflexive control; however, little is known about airflow sensing by insect wings. What information can flow sensors capture and how can flow sensing benefit flight control? Here, we use the dragonfly (Sympetrum striolatum) as a model to explore the function of wing sensory bristles in the context of flight control. Combining our detailed anatomical reconstructions of both the sensor microstructures and wing architecture, we used computational fluid dynamics simulations to ask the following questions. (1) Are there strategic locations on wings that sample flow for estimating aerodynamically relevant parameters such as the local effective angle of attack? (2) Is the sensory bristle distribution on dragonfly wings optimal for flow sensing? (3) What is the aerodynamic effect of microstructures found near the sensory bristles on dragonfly wings? We discuss the benefits of flow sensing for flexible wings and how the evolved sensor placement affects information encoding.
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Affiliation(s)
- Myriam J Uhrhan
- Department of Bioengineering, Imperial College London, London, UK
| | - Richard J Bomphrey
- Department of Comparative Biomedical Sciences, Royal Veterinary College, London, UK
| | - Huai-Ti Lin
- Department of Bioengineering, Imperial College London, London, UK
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2
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Prakash A, Dion E, Banerjee TD, Monteiro A. The molecular basis of scale development highlighted by a single-cell atlas of Bicyclus anynana butterfly pupal forewings. Cell Rep 2024; 43:114147. [PMID: 38662541 DOI: 10.1016/j.celrep.2024.114147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 02/26/2024] [Accepted: 04/09/2024] [Indexed: 06/01/2024] Open
Abstract
Butterfly wings display a diversity of cell types, including large polyploid scale cells, yet the molecular basis of such diversity is poorly understood. To explore scale cell diversity at a transcriptomic level, we employ single-cell RNA sequencing of ∼5,200 large cells (>6 μm) from 22.5- to 25-h male pupal forewings of the butterfly Bicyclus anynana. Using unsupervised clustering, followed by in situ hybridization, immunofluorescence, and CRISPR-Cas9 editing of candidate genes, we annotate various cell types on the wing. We identify genes marking non-innervated scale cells, pheromone-producing glandular cells, and innervated sensory cell types. We show that senseless, a zinc-finger transcription factor, and HR38, a hormone receptor, determine the identity, size, and color of different scale cell types and are important regulators of scale cell differentiation. This dataset and the identification of various wing cell-type markers provide a foundation to compare and explore scale cell-type diversification across arthropod species.
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Affiliation(s)
- Anupama Prakash
- Department of Biological Sciences, National University of Singapore, Singapore, Singapore.
| | - Emilie Dion
- Department of Biological Sciences, National University of Singapore, Singapore, Singapore
| | - Tirtha Das Banerjee
- Department of Biological Sciences, National University of Singapore, Singapore, Singapore
| | - Antónia Monteiro
- Department of Biological Sciences, National University of Singapore, Singapore, Singapore.
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3
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Białkowski J, Rossa R, Ziemiakowicz A, Gohli J, Dymek J, Goczał J. Evolution, types, and distribution of flight control devices on wings and elytra in bark beetles. Sci Rep 2024; 14:6999. [PMID: 38523182 PMCID: PMC10961309 DOI: 10.1038/s41598-024-57658-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Accepted: 03/20/2024] [Indexed: 03/26/2024] Open
Abstract
Gaining the ability to fly actively was a ground-breaking moment in insect evolution, providing an unprecedented advantage over other arthropods. Nevertheless, active flight was a costly innovation, requiring the development of wings and flight muscles, the provision of sufficient energetic resources, and a complex flight control system. Although wings, flight muscles, and the energetic budget of insects have been intensively studied in the last decades, almost nothing is known regarding the flight-control devices of many crucial insect groups, especially beetles (Coleoptera). Here, we conducted a phylogenetic-informed analysis of flight-related mechanosensors in 28 species of bark beetles (Curculionidae: Scolytinae, Platypodinae), an economically and ecologically important group of insects characterized by striking differences in dispersal abilities. The results indicated that beetle flight apparatus is equipped with different functional types of mechanosensors, including strain- and flow-encoding sensilla. We found a strong effect of allometry on the number of mechanosensors, while no effect of relative wing size (a proxy of flight investment) was identified. Our study constitutes the first step to understanding the drivers and constraints of the evolution of flight-control devices in Coleoptera, including bark beetles. More research, including a quantitative neuroanatomical analysis of beetle wings, should be conducted in the future.
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Affiliation(s)
- Jakub Białkowski
- Department of Forest Ecosystems Protection, University of Agriculture in Krakow, 29 Listopada 54, 31-425, Kraków, Poland
| | - Robert Rossa
- Department of Forest Ecosystems Protection, University of Agriculture in Krakow, 29 Listopada 54, 31-425, Kraków, Poland
| | - Anna Ziemiakowicz
- Department of Forest Ecosystems Protection, University of Agriculture in Krakow, 29 Listopada 54, 31-425, Kraków, Poland
| | - Jostein Gohli
- Division of Biotechnology and Plant Health, Norwegian Institute of Bioeconomy Research, Ås, Norway
| | - Jakub Dymek
- Department of Biology and Cell Imaging, Faculty of Biology, Institute of Zoology and Biomedical Research, Jagiellonian University, Kraków, Poland
| | - Jakub Goczał
- Department of Forest Ecosystems Protection, University of Agriculture in Krakow, 29 Listopada 54, 31-425, Kraków, Poland.
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4
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Stanchak KE, Deora T, Weber AI, Hickner MK, Moalin A, Abdalla L, Daniel TL, Brunton BW. Intraspecific Variation in the Placement of Campaniform Sensilla on the Wings of the Hawkmoth Manduca Sexta. Integr Org Biol 2024; 6:obae007. [PMID: 38715720 PMCID: PMC11074993 DOI: 10.1093/iob/obae007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Revised: 01/30/2024] [Accepted: 03/12/2024] [Indexed: 05/15/2024] Open
Abstract
Flight control requires active sensory feedback, and insects have many sensors that help them estimate their current locomotor state, including campaniform sensilla (CS), which are mechanoreceptors that sense strain resulting from deformation of the cuticle. CS on the wing detect bending and torsional forces encountered during flight, providing input to the flight feedback control system. During flight, wings experience complex spatio-temporal strain patterns. Because CS detect only local strain, their placement on the wing is presumably critical for determining the overall representation of wing deformation; however, how these sensilla are distributed across wings is largely unknown. Here, we test the hypothesis that CS are found in stereotyped locations across individuals of Manduca sexta, a hawkmoth. We found that although CS are consistently found on the same veins or in the same regions of the wings, their total number and distribution can vary extensively. This suggests that there is some robustness to variation in sensory feedback in the insect flight control system. The regions where CS are consistently found provide clues to their functional roles, although some patterns might be reflective of developmental processes. Collectively, our results on intraspecific variation in CS placement on insect wings will help reshape our thinking on the utility of mechanosensory feedback for insect flight control and guide further experimental and comparative studies.
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Affiliation(s)
- K E Stanchak
- University of Washington, Department of Biology, Seattle 98195, WA
| | - T Deora
- Department of Life Sciences, School of Natural Sciences, Shiv Nadar Institution of Eminence, Delhi-NCR 201314, India
| | - A I Weber
- University of Washington, Department of Biology, Seattle 98195, WA
| | - M K Hickner
- University of Washington, Department of Mechanical Engineering, Seattle 98195, WA
| | - A Moalin
- University of Washington, Department of Biology, Seattle 98195, WA
| | - L Abdalla
- University of Washington, Department of Biology, Seattle 98195, WA
| | - T L Daniel
- University of Washington, Department of Biology, Seattle 98195, WA
| | - B W Brunton
- University of Washington, Department of Biology, Seattle 98195, WA
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5
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Rummel AD, Sierra MM, Quinn BL, Swartz SM. Hair, there and everywhere: A comparison of bat wing sensory hair distribution. Anat Rec (Hoboken) 2023; 306:2681-2692. [PMID: 36790015 DOI: 10.1002/ar.25176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 01/17/2023] [Accepted: 01/27/2023] [Indexed: 02/16/2023]
Abstract
Bat wing membranes are composed of specialized skin that is covered with small sensory hairs which are likely mechanosensory and have been suggested to help bats sense airflow during flight. These sensory hairs have to date been studied in only a few of the more than 1,400 bat species around the world. Little is known about the diversity of the sensory hair network across the bat phylogeny. In this study, we use high-resolution photomicrographs of preserved bat wings from 17 species in 12 families to characterize the distribution of sensory hairs along the wing and among species. We identify general patterns of sensory hair distribution across species, including the apparent relationships of sensory hairs to intramembranous wing muscles, the network of connective tissues in the wing membrane, and the bones of the forelimb. We also describe distinctive clustering of these sensory structures in some species. We also quantified sensory hair density in several regions of interest in the propatagium, plagiopatagium, and dactylopagatia, finding that sensory hair density was higher proximally than distally. This examination of the anatomical organization of the sensory hair network in a comparative context provides a framework for existing research on sensory hair function and highlights avenues for further research.
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Affiliation(s)
- Andrea D Rummel
- Department of Ecology, Evolution, and Organismal Biology, Brown University, Providence, Rhode Island, USA
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey, USA
| | - Melissa M Sierra
- Department of Ecology, Evolution, and Organismal Biology, Brown University, Providence, Rhode Island, USA
| | - Brooke L Quinn
- Department of Ecology, Evolution, and Organismal Biology, Brown University, Providence, Rhode Island, USA
| | - Sharon M Swartz
- Department of Ecology, Evolution, and Organismal Biology, Brown University, Providence, Rhode Island, USA
- School of Engineering, Brown University, Providence, Rhode Island, USA
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6
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Dallmann CJ, Dickerson BH, Simpson JH, Wyart C, Jayaram K. Mechanosensory Control of Locomotion in Animals and Robots: Moving Forward. Integr Comp Biol 2023; 63:450-463. [PMID: 37279901 PMCID: PMC10445419 DOI: 10.1093/icb/icad057] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 05/10/2023] [Accepted: 05/24/2023] [Indexed: 06/08/2023] Open
Abstract
While animals swim, crawl, walk, and fly with apparent ease, building robots capable of robust locomotion remains a significant challenge. In this review, we draw attention to mechanosensation-the sensing of mechanical forces generated within and outside the body-as a key sense that enables robust locomotion in animals. We discuss differences between mechanosensation in animals and current robots with respect to (1) the encoding properties and distribution of mechanosensors and (2) the integration and regulation of mechanosensory feedback. We argue that robotics would benefit greatly from a detailed understanding of these aspects in animals. To that end, we highlight promising experimental and engineering approaches to study mechanosensation, emphasizing the mutual benefits for biologists and engineers that emerge from moving forward together.
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Affiliation(s)
- Chris J Dallmann
- Department of Physiology and Biophysics, University of Washington, Seattle, WA 98195, USA
| | - Bradley H Dickerson
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ 08544, USA
| | - Julie H Simpson
- Department of Molecular, Cellular, and Developmental Biology and Neuroscience Research Institute, University of California Santa Barbara, Santa Barbara, CA 93106, USA
| | - Claire Wyart
- Institut du Cerveau et de la Moelle épinière (ICM), Sorbonne Université, Paris 75005, France
| | - Kaushik Jayaram
- Paul M Rady Department of Mechanical Engineering, University of Colorado Boulder, Boulder, CO 80309, USA
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7
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Stanchak KE, Deora T, Weber AI, Hickner MK, Moalin A, Abdalla L, Daniel TL, Brunton BW. Intraspecific variation in the placement of campaniform sensilla on the wings of the hawkmoth Manduca sexta. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.06.26.546554. [PMID: 37425819 PMCID: PMC10326992 DOI: 10.1101/2023.06.26.546554] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/11/2023]
Abstract
Flight control requires active sensory feedback, and insects have many sensors that help them estimate their current locomotor state, including campaniform sensilla, which are mechanoreceptors that sense strain resulting from deformation of the cuticle. Campaniform sensilla on the wing detect bending and torsional forces encountered during flight, providing input to the flight feedback control system. During flight, wings experience complex spatio-temporal strain patterns. Because campaniform sensilla detect only local strain, their placement on the wing is presumably critical for determining the overall representation of wing deformation; however, how these sensilla are distributed across wings is largely unknown. Here, we test the hypothesis that campaniform sensilla are found in stereotyped locations across individuals of Manduca sexta, a hawkmoth. We found that although campaniform sensilla are consistently found on the same veins or in the same regions of the wings, their total number and distribution can vary extensively. This suggests that there is some robustness to variation in sensory feedback in the insect flight control system. The regions where campaniform sensilla are consistently found provide clues to their functional roles, although some patterns might be reflective of developmental processes. Collectively, our results on intraspecific variation in campaniform sensilla placement on insect wings will help reshape our thinking on the utility of mechanosensory feedback for insect flight control and guide further experimental and comparative studies.
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Affiliation(s)
| | - Tanvi Deora
- University of Washington, Department of Biology, Seattle, WA
| | - Alison I Weber
- University of Washington, Department of Biology, Seattle, WA
| | - Michelle K Hickner
- University of Washington, Department of Mechanical Engineering, Seattle, WA
| | - Abna Moalin
- University of Washington, Department of Biology, Seattle, WA
| | - Laila Abdalla
- University of Washington, Department of Biology, Seattle, WA
| | - Thomas L Daniel
- University of Washington, Department of Biology, Seattle, WA
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8
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Putney J, Niebur T, Wood L, Conn R, Sponberg S. An information theoretic method to resolve millisecond-scale spike timing precision in a comprehensive motor program. PLoS Comput Biol 2023; 19:e1011170. [PMID: 37307288 PMCID: PMC10289674 DOI: 10.1371/journal.pcbi.1011170] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 06/23/2023] [Accepted: 05/10/2023] [Indexed: 06/14/2023] Open
Abstract
Sensory inputs in nervous systems are often encoded at the millisecond scale in a precise spike timing code. There is now growing evidence in behaviors ranging from slow breathing to rapid flight for the prevalence of precise timing encoding in motor systems. Despite this, we largely do not know at what scale timing matters in these circuits due to the difficulty of recording a complete set of spike-resolved motor signals and assessing spike timing precision for encoding continuous motor signals. We also do not know if the precision scale varies depending on the functional role of different motor units. We introduce a method to estimate spike timing precision in motor circuits using continuous MI estimation at increasing levels of added uniform noise. This method can assess spike timing precision at fine scales for encoding rich motor output variation. We demonstrate the advantages of this approach compared to a previously established discrete information theoretic method of assessing spike timing precision. We use this method to analyze the precision in a nearly complete, spike resolved recording of the 10 primary wing muscles control flight in an agile hawk moth, Manduca sexta. Tethered moths visually tracked a robotic flower producing a range of turning (yaw) torques. We know that all 10 muscles in this motor program encode the majority of information about yaw torque in spike timings, but we do not know whether individual muscles encode motor information at different levels of precision. We demonstrate that the scale of temporal precision in all motor units in this insect flight circuit is at the sub-millisecond or millisecond-scale, with variation in precision scale present between muscle types. This method can be applied broadly to estimate spike timing precision in sensory and motor circuits in both invertebrates and vertebrates.
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Affiliation(s)
- Joy Putney
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia, United States of America
- Graduate Program in Quantitative Biosciences, Georgia Institute of Technology, Atlanta, Georgia, United States of America
| | - Tobias Niebur
- Department of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, Georgia, United States of America
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, United States of America
| | - Leo Wood
- Graduate Program in Quantitative Biosciences, Georgia Institute of Technology, Atlanta, Georgia, United States of America
- School of Physics, Georgia Institute of Technology, Atlanta, Georgia, United States of America
| | - Rachel Conn
- School of Physics, Georgia Institute of Technology, Atlanta, Georgia, United States of America
- Neuroscience Program, Emory University, Atlanta, Georgia, United States of America
| | - Simon Sponberg
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia, United States of America
- Graduate Program in Quantitative Biosciences, Georgia Institute of Technology, Atlanta, Georgia, United States of America
- School of Physics, Georgia Institute of Technology, Atlanta, Georgia, United States of America
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9
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Weber AI, Babaei M, Mamo A, Brunton BW, Daniel TL, Bergbreiter S. Nonuniform structural properties of wings confer sensing advantages. J R Soc Interface 2023; 20:20220765. [PMID: 36946090 PMCID: PMC10031407 DOI: 10.1098/rsif.2022.0765] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/23/2023] Open
Abstract
Sensory feedback is essential to both animals and robotic systems for achieving coordinated, precise movements. Mechanosensory feedback, which provides information about body deformation, depends not only on the properties of sensors but also on the structure in which they are embedded. In insects, wing structure plays a particularly important role in flapping flight: in addition to generating aerodynamic forces, wings provide mechanosensory feedback necessary for guiding flight while undergoing dramatic deformations during each wingbeat. However, the role that wing structure plays in determining mechanosensory information is relatively unexplored. Insect wings exhibit characteristic stiffness gradients and are subject to both aerodynamic and structural damping. Here we examine how both of these properties impact sensory performance, using finite element analysis combined with sensor placement optimization approaches. We show that wings with nonuniform stiffness exhibit several advantages over uniform stiffness wings, resulting in higher accuracy of rotation detection and lower sensitivity to the placement of sensors on the wing. Moreover, we show that higher damping generally improves the accuracy with which body rotations can be detected. These results contribute to our understanding of the evolution of the nonuniform stiffness patterns in insect wings, as well as suggest design principles for robotic systems.
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Affiliation(s)
- Alison I Weber
- Department of Biology, University of Washington, Seattle, WA, USA
| | - Mahnoush Babaei
- Department of Aerospace Engineering and Engineering Mechanics, University of Texas at Austin, Austin, TX, USA
| | - Amanuel Mamo
- Department of Materials Science and Engineering, University of Washington, Seattle, WA, USA
| | - Bingni W Brunton
- Department of Biology, University of Washington, Seattle, WA, USA
| | - Thomas L Daniel
- Department of Biology, University of Washington, Seattle, WA, USA
| | - Sarah Bergbreiter
- Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA
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10
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Goczał J, Beutel RG. Beetle elytra: evolution, modifications and biological functions. Biol Lett 2023; 19:20220559. [PMID: 36855857 PMCID: PMC9975656 DOI: 10.1098/rsbl.2022.0559] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/02/2023] Open
Abstract
Conversion of forewings into hardened covers, elytra, was a ground-breaking morphological adaptation that has contributed to the extraordinary evolutionary success of beetles. Nevertheless, the knowledge of the functional aspects of these structures is still fragmentary and scattered across a large number of studies. Here, we have synthesized the presently available information on the evolution, development, modifications and biological functions of this crucial evolutionary novelty. The formation of elytra took place in the earliest evolution of Coleoptera, very likely already in the Carboniferous, and was achieved through the gradual process of progressive forewing sclerotization and the formation of inward directed epipleura and a secluded sub-elytral space. In many lineages of modern beetles, the elytra have been distinctly modified. This includes multiple surface modifications, a rigid connection or fusion of the elytra, or partial or complete reduction. Beetle elytra can be involved in a very broad spectrum of functions: mechanical protection of hind wings and body, anti-predator strategies, thermoregulation and water saving, water harvesting, flight, hind wing folding, diving and swimming, self-cleaning and burrow cleaning, phoresy of symbiotic organisms, mating and courtship, and acoustic communication. We postulate that the potential of the elytra to take over multiple tasks has enormously contributed to the unparalleled diversification of beetles.
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Affiliation(s)
- Jakub Goczał
- Department of Forest Ecosystems Protection, University of Agriculture in Krakow, 29 Listopada 54, 31-425 Krakow, Poland
| | - Rolf G Beutel
- Friedrich-Schiller-Universität Jena, Institut für Zoologie und Evolutionsforschung, 07743 Jena, Germany
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11
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Agrawal S, Tuthill JC. The two-body problem: Proprioception and motor control across the metamorphic divide. Curr Opin Neurobiol 2022; 74:102546. [PMID: 35512562 DOI: 10.1016/j.conb.2022.102546] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 03/11/2022] [Accepted: 03/27/2022] [Indexed: 11/17/2022]
Abstract
Like a rocket being propelled into space, evolution has engineered flies to launch into adulthood via multiple stages. Flies develop and deploy two distinct bodies, linked by the transformative process of metamorphosis. The fly larva is a soft hydraulic tube that can crawl to find food and avoid predators. The adult fly has a stiff exoskeleton with articulated limbs that enable long-distance navigation and rich social interactions. Because the larval and adult forms are so distinct in structure, they require distinct strategies for sensing and moving the body. The metamorphic divide thus presents an opportunity for comparative analysis of neural circuits. Here, we review recent progress toward understanding the neural mechanisms of proprioception and motor control in larval and adult Drosophila. We highlight commonalities that point toward general principles of sensorimotor control and differences that may reflect unique constraints imposed by biomechanics. Finally, we discuss emerging opportunities for comparative analysis of neural circuit architecture in the fly and other animal species.
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Affiliation(s)
- Sweta Agrawal
- Department of Physiology and Biophysics, University of Washington, Seattle, WA, USA.
| | - John C Tuthill
- Department of Physiology and Biophysics, University of Washington, Seattle, WA, USA
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12
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Ayali A, Couzin-Fuchs E. Editorial overview: Insect neuroscience: roads less travelled. CURRENT OPINION IN INSECT SCIENCE 2021; 48:v-vii. [PMID: 34863513 DOI: 10.1016/j.cois.2021.11.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Affiliation(s)
- Amir Ayali
- School of Zoology, Tel Aviv University, 6997801, Israel; Sagol School of Neuroscience, Tel Aviv University, 6997801, Israel.
| | - Einat Couzin-Fuchs
- Department of Biology, University of Konstanz, Konstanz, 78457, Germany; Centre for the Advanced Study of Collective Behaviour, University of Konstanz, Konstanz, 78464, Germany
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