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Stednitz SJ, Lesak A, Fecker AL, Painter P, Washbourne P, Mazzucato L, Scott EK. Probabilistic modeling reveals coordinated social interaction states and their multisensory bases. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.08.02.606104. [PMID: 39149367 PMCID: PMC11326195 DOI: 10.1101/2024.08.02.606104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 08/17/2024]
Abstract
Social behavior across animal species ranges from simple pairwise interactions to thousands of individuals coordinating goal-directed movements. Regardless of the scale, these interactions are governed by the interplay between multimodal sensory information and the internal state of each animal. Here, we investigate how animals use multiple sensory modalities to guide social behavior in the highly social zebrafish (Danio rerio) and uncover the complex features of pairwise interactions early in development. To identify distinct behaviors and understand how they vary over time, we developed a new hidden Markov model with constrained linear-model emissions to automatically classify states of coordinated interaction, using the movements of one animal to predict those of another. We discovered that social behaviors alternate between two interaction states within a single experimental session, distinguished by unique movements and timescales. Long-range interactions, akin to shoaling, rely on vision, while mechanosensation underlies rapid synchronized movements and parallel swimming, precursors of schooling. Altogether, we observe spontaneous interactions in pairs of fish, develop novel hidden Markov modeling to reveal two fundamental interaction modes, and identify the sensory systems involved in each. Our modeling approach to pairwise social interactions has broad applicability to a wide variety of naturalistic behaviors and species and solves the challenge of detecting transient couplings between quasi-periodic time series.
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Affiliation(s)
| | - Andrew Lesak
- Institute of Neuroscience, University of Oregon, Eugene, OR, USA
| | - Adeline L Fecker
- Institute of Neuroscience, University of Oregon, Eugene, OR, USA
| | | | - Phil Washbourne
- Institute of Neuroscience, University of Oregon, Eugene, OR, USA
| | - Luca Mazzucato
- Institute of Neuroscience, University of Oregon, Eugene, OR, USA
| | - Ethan K Scott
- Department of Anatomy & Physiology, University of Melbourne, Parkville, VIC, Australia
- Queensland Brain Institute, University of Queensland, St Lucia, QLD, Australia
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2
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Harpaz R, Phillips M, Goel R, Fishman MC, Engert F. Experience-dependent modulation of collective behavior in larval zebrafish. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.08.02.606403. [PMID: 39149341 PMCID: PMC11326175 DOI: 10.1101/2024.08.02.606403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/17/2024]
Abstract
Complex group behavior can emerge from simple inter-individual interactions. Commonly, these interactions are considered static and hardwired and little is known about how experience and learning affect collective group behavior. Young larvae use well described visuomotor transformations to guide interindividual interactions and collective group structure. Here, we use naturalistic and virtual-reality (VR) experiments to impose persistent changes in population density and measure their effects on future visually evoked turning behavior and the resulting changes in group structure. We find that neighbor distances decrease after exposure to higher population densities, and increase after the experience of lower densities. These adaptations develop slowly and gradually, over tens of minutes and remain stable over many hours. Mechanistically, we find that larvae estimate their current group density by tracking the frequency of neighbor-evoked looming events on the retina and couple the strength of their future interactions to that estimate. A time-varying state-space model that modulates agents' social interactions based on their previous visual-social experiences, accurately describes our behavioral observations and predicts novel aspects of behavior. These findings provide concrete evidence that inter-individual interactions are not static, but rather continuously evolve based on past experience and current environmental demands. The underlying neurobiological mechanisms of experience dependent modulation can now be explored in this small and transparent model organism.
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Affiliation(s)
- Roy Harpaz
- Department of Molecular and Cellular Biology, Harvard University, Cambridge 02138, USA
- Center for Brain Science, Harvard University, Cambridge 02138, USA
| | - Morgan Phillips
- Department of Molecular and Cellular Biology, Harvard University, Cambridge 02138, USA
- Center for Brain Science, Harvard University, Cambridge 02138, USA
| | - Ronan Goel
- Department of Molecular and Cellular Biology, Harvard University, Cambridge 02138, USA
- Center for Brain Science, Harvard University, Cambridge 02138, USA
| | - Mark C Fishman
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
| | - Florian Engert
- Department of Molecular and Cellular Biology, Harvard University, Cambridge 02138, USA
- Center for Brain Science, Harvard University, Cambridge 02138, USA
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3
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Zada D, Schulze L, Yu JH, Tarabishi P, Napoli JL, Milan J, Lovett-Barron M. Development of neural circuits for social motion perception in schooling fish. Curr Biol 2024; 34:3380-3391.e5. [PMID: 39025069 DOI: 10.1016/j.cub.2024.06.049] [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: 01/30/2024] [Revised: 05/15/2024] [Accepted: 06/20/2024] [Indexed: 07/20/2024]
Abstract
The collective behavior of animal groups emerges from the interactions among individuals. These social interactions produce the coordinated movements of bird flocks and fish schools, but little is known about their developmental emergence and neurobiological foundations. By characterizing the visually based schooling behavior of the micro glassfish Danionella cerebrum, we found that social development progresses sequentially, with animals first acquiring the ability to aggregate, followed by postural alignment with social partners. This social maturation was accompanied by the development of neural populations in the midbrain that were preferentially driven by visual stimuli that resemble the shape and movements of schooling fish. Furthermore, social isolation over the course of development impaired both schooling behavior and the neural encoding of social motion in adults. This work demonstrates that neural populations selective for the form and motion of conspecifics emerge with the experience-dependent development of collective movement.
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Affiliation(s)
- David Zada
- Department of Neurobiology, School of Biological Sciences. University of California, San Diego, La Jolla, CA 92093, USA
| | - Lisanne Schulze
- Department of Neurobiology, School of Biological Sciences. University of California, San Diego, La Jolla, CA 92093, USA
| | - Jo-Hsien Yu
- Department of Neurobiology, School of Biological Sciences. University of California, San Diego, La Jolla, CA 92093, USA
| | - Princess Tarabishi
- Department of Neurobiology, School of Biological Sciences. University of California, San Diego, La Jolla, CA 92093, USA
| | - Julia L Napoli
- Department of Neurobiology, School of Biological Sciences. University of California, San Diego, La Jolla, CA 92093, USA
| | - Jimjohn Milan
- Department of Neurobiology, School of Biological Sciences. University of California, San Diego, La Jolla, CA 92093, USA
| | - Matthew Lovett-Barron
- Department of Neurobiology, School of Biological Sciences. University of California, San Diego, La Jolla, CA 92093, USA.
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4
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Josephine Stednitz S, Lesak A, Fecker AL, Painter P, Washbourne P, Mazzucato L, Scott EK. Probabilistic modeling reveals coordinated social interaction states and their multisensory bases. ARXIV 2024:arXiv:2408.01683v1. [PMID: 39130202 PMCID: PMC11312628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 08/13/2024]
Abstract
Social behavior across animal species ranges from simple pairwise interactions to thousands of individuals coordinating goal-directed movements. Regardless of the scale, these interactions are governed by the interplay between multimodal sensory information and the internal state of each animal. Here, we investigate how animals use multiple sensory modalities to guide social behavior in the highly social zebrafish (Danio rerio) and uncover the complex features of pairwise interactions early in development. To identify distinct behaviors and understand how they vary over time, we developed a new hidden Markov model with constrained linear-model emissions to automatically classify states of coordinated interaction, using the movements of one animal to predict those of another. We discovered that social behaviors alternate between two interaction states within a single experimental session, distinguished by unique movements and timescales. Long-range interactions, akin to shoaling, rely on vision, while mechanosensation underlies rapid synchronized movements and parallel swimming, precursors of schooling. Altogether, we observe spontaneous interactions in pairs of fish, develop novel hidden Markov modeling to reveal two fundamental interaction modes, and identify the sensory systems involved in each. Our modeling approach to pairwise social interactions has broad applicability to a wide variety of naturalistic behaviors and species and solves the challenge of detecting transient couplings between quasi-periodic time series.
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Affiliation(s)
| | - Andrew Lesak
- Institute of Neuroscience, University of Oregon, Eugene, OR, USA
| | - Adeline L Fecker
- Institute of Neuroscience, University of Oregon, Eugene, OR, USA
| | | | - Phil Washbourne
- Institute of Neuroscience, University of Oregon, Eugene, OR, USA
| | - Luca Mazzucato
- Institute of Neuroscience, University of Oregon, Eugene, OR, USA
| | - Ethan K Scott
- Department of Anatomy & Physiology, University of Melbourne, Parkville, VIC, Australia
- Queensland Brain Institute, University of Queensland, St Lucia, QLD, Australia
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5
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Correia D, Bellot M, Goyenechea J, Prats E, Moro H, Gómez-Canela C, Bedrossiantz J, Tagkalidou N, Ferreira CSS, Raldúa D, Domingues I, Faria M, Oliveira M. Parental exposure to antidepressants has lasting effects on offspring? A case study with zebrafish. CHEMOSPHERE 2024; 355:141851. [PMID: 38579950 DOI: 10.1016/j.chemosphere.2024.141851] [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: 01/04/2024] [Revised: 03/27/2024] [Accepted: 03/28/2024] [Indexed: 04/07/2024]
Abstract
Fish have common neurotransmitter pathways with humans, exhibiting a significant degree of conservation and homology. Thus, exposure to fluoxetine makes fish potentially susceptible to biochemical and physiological changes, similarly to what is observed in humans. Over the years, several studies demonstrated the potential effects of fluoxetine on different fish species and at different levels of biological organization. However, the effects of parental exposure to unexposed offspring remain largely unknown. The consequences of 15-day parental exposure to relevant concentrations of fluoxetine (100 and 1000 ng/L) were assessed on offspring using zebrafish as a model organism. Parental exposure resulted in offspring early hatching, non-inflation of the swimming bladder, increased malformation frequency, decreased heart rate and blood flow, and reduced growth. Additionally, a significant behavioral impairment was also found (reduced startle response, basal locomotor activity, and altered non-associative learning during early stages and a negative geotaxis and scototaxis, reduced thigmotaxis, and anti-social behavior at later life stages). These behavior alterations are consistent with decreased anxiety, a significant increase in the expression of the monoaminergic genes slc6a4a (sert), slc6a3 (dat), slc18a2 (vmat2), mao, tph1a, and th2, and altered levels of monoaminergic neurotransmitters. Alterations in behavior, expression of monoaminergic genes, and neurotransmitter levels persisted until offspring adulthood. Given the high conservation of neuronal pathways between fish and humans, data show the possibility of potential transgenerational and multigenerational effects of pharmaceuticals' exposure. These results reinforce the need for transgenerational and multigenerational studies in fish, under realistic scenarios, to provide realistic insights into the impact of these pharmaceuticals.
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Affiliation(s)
- Daniela Correia
- Centre for Environmental and Marine Studies (CESAM), Department of Biology, University of Aveiro, Campus Universitário de Santiago, 3810-193, Aveiro, Portugal.
| | - Marina Bellot
- Department of Analytical Chemistry and Applied (Chromatography Section), School of Engineering, Institut Químic de Sarrià-Universitat Ramon Llull, Via Augusta 390, 08017, Barcelona, Spain.
| | - Júlia Goyenechea
- Department of Analytical Chemistry and Applied (Chromatography Section), School of Engineering, Institut Químic de Sarrià-Universitat Ramon Llull, Via Augusta 390, 08017, Barcelona, Spain.
| | - Eva Prats
- Center for Research and Development, Spanish National Research Council (CSIC), Spain.
| | - Hugo Moro
- Institute of Environmental Assessment and Water Research, Spanish National Research Council (CSIC), Spain.
| | - Cristian Gómez-Canela
- Department of Analytical Chemistry and Applied (Chromatography Section), School of Engineering, Institut Químic de Sarrià-Universitat Ramon Llull, Via Augusta 390, 08017, Barcelona, Spain.
| | - Juliette Bedrossiantz
- Institute of Environmental Assessment and Water Research, Spanish National Research Council (CSIC), Spain.
| | - Niki Tagkalidou
- Department of Biochemistry and Biotechnology, University of Thessaly, Greece.
| | - Carla S S Ferreira
- Centre for Environmental and Marine Studies (CESAM), Department of Biology, University of Aveiro, Campus Universitário de Santiago, 3810-193, Aveiro, Portugal.
| | - Demetrio Raldúa
- Institute of Environmental Assessment and Water Research, Spanish National Research Council (CSIC), Spain.
| | - Inês Domingues
- Centre for Environmental and Marine Studies (CESAM), Department of Biology, University of Aveiro, Campus Universitário de Santiago, 3810-193, Aveiro, Portugal.
| | - Melissa Faria
- Institute of Environmental Assessment and Water Research, Spanish National Research Council (CSIC), Spain.
| | - Miguel Oliveira
- Centre for Environmental and Marine Studies (CESAM), Department of Biology, University of Aveiro, Campus Universitário de Santiago, 3810-193, Aveiro, Portugal.
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6
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Dong K, Liu WC, Su Y, Lyu Y, Huang H, Zheng N, Rogers JA, Nan K. Scalable Electrophysiology of Millimeter-Scale Animals with Electrode Devices. BME FRONTIERS 2023; 4:0034. [PMID: 38435343 PMCID: PMC10907027 DOI: 10.34133/bmef.0034] [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: 09/22/2023] [Accepted: 11/08/2023] [Indexed: 03/05/2024] Open
Abstract
Millimeter-scale animals such as Caenorhabditis elegans, Drosophila larvae, zebrafish, and bees serve as powerful model organisms in the fields of neurobiology and neuroethology. Various methods exist for recording large-scale electrophysiological signals from these animals. Existing approaches often lack, however, real-time, uninterrupted investigations due to their rigid constructs, geometric constraints, and mechanical mismatch in integration with soft organisms. The recent research establishes the foundations for 3-dimensional flexible bioelectronic interfaces that incorporate microfabricated components and nanoelectronic function with adjustable mechanical properties and multidimensional variability, offering unique capabilities for chronic, stable interrogation and stimulation of millimeter-scale animals and miniature tissue constructs. This review summarizes the most advanced technologies for electrophysiological studies, based on methods of 3-dimensional flexible bioelectronics. A concluding section addresses the challenges of these devices in achieving freestanding, robust, and multifunctional biointerfaces.
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Affiliation(s)
- Kairu Dong
- College of Pharmaceutical Sciences,
Zhejiang University, Hangzhou 310058, China
- National Key Laboratory of Advanced Drug Delivery and Release Systems,
Zhejiang University, Hangzhou 310058, China
- College of Biomedical Engineering & Instrument Science,
Zhejiang University, Hangzhou, 310027, China
| | - Wen-Che Liu
- College of Pharmaceutical Sciences,
Zhejiang University, Hangzhou 310058, China
- National Key Laboratory of Advanced Drug Delivery and Release Systems,
Zhejiang University, Hangzhou 310058, China
| | - Yuyan Su
- College of Pharmaceutical Sciences,
Zhejiang University, Hangzhou 310058, China
- Department of Gastroenterology, Brigham and Women’s Hospital,
Harvard Medical School, Boston, MA 02115, USA
| | - Yidan Lyu
- College of Pharmaceutical Sciences,
Zhejiang University, Hangzhou 310058, China
| | - Hao Huang
- College of Pharmaceutical Sciences,
Zhejiang University, Hangzhou 310058, China
- College of Chemical and Biological Engineering,
Zhejiang University, Hangzhou 310058, China
| | - Nenggan Zheng
- Qiushi Academy for Advanced Studies,
Zhejiang University, Hangzhou 310027, China
- College of Computer Science and Technology,
Zhejiang University, Hangzhou 310027, China
- State Key Lab of Brain-Machine Intelligence,
Zhejiang University, Hangzhou 310058, China
- CCAI by MOE and Zhejiang Provincial Government (ZJU), Hangzhou 310027, China
| | - John A. Rogers
- Querrey Simpson Institute for Bioelectronics,
Northwestern University, Evanston, IL 60208, USA
- Department of Biomedical Engineering,
Northwestern University, Evanston, IL 60208, USA
- Department of Materials Science and Engineering,
Northwestern University, Evanston, IL 60208, USA
- Department of Mechanical Engineering,
Northwestern University, Evanston, IL 60208, USA
| | - Kewang Nan
- College of Pharmaceutical Sciences,
Zhejiang University, Hangzhou 310058, China
- National Key Laboratory of Advanced Drug Delivery and Release Systems,
Zhejiang University, Hangzhou 310058, China
- Jinhua Institute of Zhejiang University, Jinhua 321299, China
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7
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Ferrara NC, Che A, Briones B, Padilla-Coreano N, Lovett-Barron M, Opendak M. Neural Circuit Transitions Supporting Developmentally Specific Social Behavior. J Neurosci 2023; 43:7456-7462. [PMID: 37940586 PMCID: PMC10634550 DOI: 10.1523/jneurosci.1377-23.2023] [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: 07/01/2023] [Revised: 08/01/2023] [Accepted: 08/01/2023] [Indexed: 11/10/2023] Open
Abstract
Environmentally appropriate social behavior is critical for survival across the lifespan. To support this flexible behavior, the brain must rapidly perform numerous computations taking into account sensation, memory, motor-control, and many other systems. Further complicating this process, individuals must perform distinct social behaviors adapted to the unique demands of each developmental stage; indeed, the social behaviors of the newborn would not be appropriate in adulthood and vice versa. However, our understanding of the neural circuit transitions supporting these behavioral transitions has been limited. Recent advances in neural circuit dissection tools, as well as adaptation of these tools for use at early time points, has helped uncover several novel mechanisms supporting developmentally appropriate social behavior. This review, and associated Minisymposium, bring together social neuroscience research across numerous model organisms and ages. Together, this work highlights developmentally regulated neural mechanisms and functional transitions in the roles of the sensory cortex, prefrontal cortex, amygdala, habenula, and the thalamus to support social interaction from infancy to adulthood. These studies underscore the need for synthesis across varied model organisms and across ages to advance our understanding of flexible social behavior.
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Affiliation(s)
- Nicole C Ferrara
- Discipline of Physiology and Biophysics, Chicago Medical School, Rosalind Franklin University of Medicine and Science, North Chicago, Illinois 60064
- Center for Neurobiology of Stress Resilience and Psychiatric Disorders, Rosalind Franklin University of Medicine and Science, North Chicago, Illinois 60064
| | - Alicia Che
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut 06520
| | - Brandy Briones
- Center for the Neurobiology of Addiction, Pain, and Emotion, Department of Anesthesiology and Pain Medicine, Department of Pharmacology, University of Washington, Seattle, Washington 98195
| | - Nancy Padilla-Coreano
- Evelyn F. & William McKnight Brain Institute and Department of Neuroscience, University of Florida, Gainesville, Florida 32610
| | - Matthew Lovett-Barron
- Department of Neurobiology, School of Biological Sciences, University of California San Diego, La Jolla, California 92093
| | - Maya Opendak
- Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205
- Kennedy Krieger Institute, Baltimore, Maryland 21205
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8
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Zada D, Schulze L, Yu JH, Tarabishi P, Napoli JL, Lovett-Barron M. Development of neural circuits for social motion perception in schooling fish. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.25.563839. [PMID: 37961196 PMCID: PMC10634817 DOI: 10.1101/2023.10.25.563839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
Many animals move in groups, where collective behavior emerges from the interactions amongst individuals. These social interactions produce the coordinated movements of bird flocks and fish schools, but little is known about their developmental emergence and neurobiological foundations. By characterizing the visually-based schooling behavior of the micro glassfish Danionella cerebrum, here we found that social development progresses sequentially, with animals first acquiring the ability to aggregate, followed by postural alignment with social partners. This social maturation was accompanied by the development of neural populations in the midbrain and forebrain that were preferentially driven by visual stimuli that resemble the shape and movements of schooling fish. The development of these neural circuits enables the social coordination required for collective movement.
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Affiliation(s)
- David Zada
- Department of Neurobiology, School of Biological Sciences. University of California, San Diego. La Jolla, CA, USA 92093
| | - Lisanne Schulze
- Department of Neurobiology, School of Biological Sciences. University of California, San Diego. La Jolla, CA, USA 92093
| | - Jo-Hsien Yu
- Department of Neurobiology, School of Biological Sciences. University of California, San Diego. La Jolla, CA, USA 92093
| | - Princess Tarabishi
- Department of Neurobiology, School of Biological Sciences. University of California, San Diego. La Jolla, CA, USA 92093
| | - Julia L Napoli
- Department of Neurobiology, School of Biological Sciences. University of California, San Diego. La Jolla, CA, USA 92093
| | - Matthew Lovett-Barron
- Department of Neurobiology, School of Biological Sciences. University of California, San Diego. La Jolla, CA, USA 92093
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9
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Washbourne P. Can we model autism using zebrafish? Dev Growth Differ 2023; 65:453-458. [PMID: 37623916 DOI: 10.1111/dgd.12888] [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: 05/28/2023] [Revised: 07/25/2023] [Accepted: 08/21/2023] [Indexed: 08/26/2023]
Abstract
Autism spectrum disorder (ASD) is one of the most common, heritable neuropsychiatric disorders in the world, affecting almost 1% of the population. The core symptoms used to diagnose ASD are decreased social interaction and increased repetitive behaviors. Despite the large number of affected individuals, the precise mechanisms that cause this disorder remain unclear. The identification of genes and environmental factors associated with ASD allows the study of the underlying mechanisms in animal models. Although ASD presents as a human disorder, based on recent advances in understanding their brain anatomy, physiology, behavior, and evolutionary conservation of neuronal cell types, I propose that zebrafish may provide novel insights into the etiology.
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Affiliation(s)
- Philip Washbourne
- Institute of Neuroscience, 1254 University of Oregon, Eugene, Oregon, USA
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10
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Berio F, Morerod C, Qi X, Di Santo V. Ontogenetic Plasticity in Shoaling Behavior in a Forage Fish under Warming. Integr Comp Biol 2023; 63:730-741. [PMID: 37245064 PMCID: PMC10503471 DOI: 10.1093/icb/icad043] [Citation(s) in RCA: 0] [Impact Index Per Article: 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: 05/16/2023] [Indexed: 05/29/2023] Open
Abstract
Shoaling behavior is known to increase survival rates during attacks from predators, minimize foraging time, favor mating, and potentially increase locomotor efficiency. The onset of shoaling typically occurs during the larval phase, but it is unclear how it may improve across ontogenetic stages in forage fishes. Warming is known to increase metabolic rates during locomotion in solitary fish, and shoaling species may adjust their collective behavior to offset the elevated costs of swimming at higher temperatures. In this study, we quantified the effects of warming on shoaling performance across the ontogeny of a small forage fish, zebrafish (Danio rerio) at different speeds. Shoals of larval, juvenile, and adult zebrafish were acclimated at two temperatures (28°C and 32°C), and metabolic rates were quantified prior to and following nonexhaustive exercise at high speed. Shoals of five individuals were filmed in a flow tank to analyze the kinematics of collective movement. We found that zebrafish improve shoaling swimming performance from larvae to juveniles to adults. In particular, shoals become more cohesive, and both tail beat frequency (TBF) and head-to-tail amplitude decrease with ontogeny. Early life stages have higher thermal sensitivity in metabolic rates and TBF especially at high speeds, when compared to adults. Our study shows that shoaling behavior and thermal sensitivity improve as zebrafish shift from larval to juvenile to adult stages.
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Affiliation(s)
- Fidji Berio
- Department of Zoology, Stockholm University, Svante Arrhenius väg 18B, 114 18, Stockholm, Sweden
| | - Camille Morerod
- Department of Zoology, Stockholm University, Svante Arrhenius väg 18B, 114 18, Stockholm, Sweden
| | - Xuewei Qi
- Department of Zoology, Stockholm University, Svante Arrhenius väg 18B, 114 18, Stockholm, Sweden
| | - Valentina Di Santo
- Department of Zoology, Stockholm University, Svante Arrhenius väg 18B, 114 18, Stockholm, Sweden
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11
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Paz A, Holt KJ, Clarke A, Aviles A, Abraham B, Keene AC, Duboué ER, Fily Y, Kowalko JE. Changes in local interaction rules during ontogeny underlie the evolution of collective behavior. iScience 2023; 26:107431. [PMID: 37636065 PMCID: PMC10448030 DOI: 10.1016/j.isci.2023.107431] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 06/17/2023] [Accepted: 07/17/2023] [Indexed: 08/29/2023] Open
Abstract
Collective motion emerges from individual interactions which produce group-wide patterns in behavior. While adaptive changes to collective motion are observed across animal species, how local interactions change when these collective behaviors evolve is poorly understood. Here, we use the Mexican tetra, Astyanax mexicanus, which exists as a schooling surface form and a non-schooling cave form, to study differences in how fish alter their swimming in response to neighbors across ontogeny and between evolutionarily diverged populations. We find that surface fish undergo a transition to schooling mediated by changes in the way fish modulate speed and turning relative to neighbors. This transition begins with the tendency to align to neighbors emerging by 28 days post-fertilization and ends with the emergence of robust attraction by 70 days post-fertilization. Cavefish exhibit neither alignment nor attraction at any stage of development. These results reveal how evolution alters local interactions to produce striking differences in collective behavior.
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Affiliation(s)
- Alexandra Paz
- Wilkes Honors College, Florida Atlantic University, Jupiter, FL 33458, USA
| | - Karla J. Holt
- Wilkes Honors College, Florida Atlantic University, Jupiter, FL 33458, USA
| | - Anik Clarke
- Wilkes Honors College, Florida Atlantic University, Jupiter, FL 33458, USA
| | - Ari Aviles
- Wilkes Honors College, Florida Atlantic University, Jupiter, FL 33458, USA
| | - Briana Abraham
- Wilkes Honors College, Florida Atlantic University, Jupiter, FL 33458, USA
| | - Alex C. Keene
- Department of Biology, Texas A&M, College Station, TX 77840, USA
| | - Erik R. Duboué
- Wilkes Honors College, Florida Atlantic University, Jupiter, FL 33458, USA
| | - Yaouen Fily
- Wilkes Honors College, Florida Atlantic University, Jupiter, FL 33458, USA
| | - Johanna E. Kowalko
- Department of Biological Sciences, Lehigh University, Bethlehem, PA 18015, USA
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12
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Nabeel A, Jadhav V, M DR, Sire C, Theraulaz G, Escobedo R, Iyer SK, Guttal V. Data-driven discovery of stochastic dynamical equations of collective motion. Phys Biol 2023; 20:056003. [PMID: 37369222 DOI: 10.1088/1478-3975/ace22d] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 06/27/2023] [Indexed: 06/29/2023]
Abstract
Coarse-grained descriptions of collective motion of flocking systems are often derived for the macroscopic or the thermodynamic limit. However, the size of many real flocks falls within 'mesoscopic' scales (10 to 100 individuals), where stochasticity arising from the finite flock sizes is important. Previous studies on mesoscopic models have typically focused on non-spatial models. Developing mesoscopic scale equations, typically in the form of stochastic differential equations, can be challenging even for the simplest of the collective motion models that explicitly account for space. To address this gap, here, we take a novel data-driven equation learning approach to construct the stochastic mesoscopic descriptions of a simple, spatial, self-propelled particle (SPP) model of collective motion. In the spatial model, a focal individual can interact withkrandomly chosen neighbours within an interaction radius. We considerk = 1 (called stochastic pairwise interactions),k = 2 (stochastic ternary interactions), andkequalling all available neighbours within the interaction radius (equivalent to Vicsek-like local averaging). For the stochastic pairwise interaction model, the data-driven mesoscopic equations reveal that the collective order is driven by a multiplicative noise term (hence termed, noise-induced flocking). In contrast, for higher order interactions (k > 1), including Vicsek-like averaging interactions, models yield collective order driven by a combination of deterministic and stochastic forces. We find that the relation between the parameters of the mesoscopic equations describing the dynamics and the population size are sensitive to the density and to the interaction radius, exhibiting deviations from mean-field theoretical expectations. We provide semi-analytic arguments potentially explaining these observed deviations. In summary, our study emphasises the importance of mesoscopic descriptions of flocking systems and demonstrates the potential of the data-driven equation discovery methods for complex systems studies.
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Affiliation(s)
- Arshed Nabeel
- Center for Ecological Sciences, Indian Institute of Science, Bengaluru, India
- IISc Mathematics Initiative, Indian Institute of Science, Bengaluru, India
| | - Vivek Jadhav
- Center for Ecological Sciences, Indian Institute of Science, Bengaluru, India
| | - Danny Raj M
- Department of Chemical Engineering, Indian Institute of Science, Bengaluru, India
| | - Clément Sire
- Laboratoire de Physique Théorique, CNRS, Université de Toulouse-Paul Sabatier, Toulouse, France
| | - Guy Theraulaz
- Center for Ecological Sciences, Indian Institute of Science, Bengaluru, India
- Centre de Recherches sur la Cognition Animale, Centre de Biologie Intégrative, CNRS, Université de Toulouse-Paul Sabatier, Toulouse, France
| | - Ramón Escobedo
- Centre de Recherches sur la Cognition Animale, Centre de Biologie Intégrative, CNRS, Université de Toulouse-Paul Sabatier, Toulouse, France
| | - Srikanth K Iyer
- Department of Mathematics, Indian Institute of Science, Bengaluru, India
| | - Vishwesha Guttal
- Center for Ecological Sciences, Indian Institute of Science, Bengaluru, India
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13
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Romero-Ferrero F, Heras FJH, Rance D, de Polavieja GG. A study of transfer of information in animal collectives using deep learning tools. Philos Trans R Soc Lond B Biol Sci 2023; 378:20220073. [PMID: 36802786 PMCID: PMC9939271 DOI: 10.1098/rstb.2022.0073] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/21/2023] Open
Abstract
We studied how the interactions among animals in a collective allow for the transfer of information. We performed laboratory experiments to study how zebrafish in a collective follow a subset of trained animals that move towards a light when it turns on because they expect food at that location. We built some deep learning tools to distinguish from video which are the trained and the naïve animals and to detect when each animal reacts to the light turning on. These tools gave us the data to build a model of interactions that we designed to have a balance between transparency and accuracy. The model finds a low-dimensional function that describes how a naïve animal weights neighbours depending on focal and neighbour variables. According to this low-dimensional function, neighbour speed plays an important role in the interactions. Specifically, a naïve animal weights more a neighbour in front than to the sides or behind, and more so the faster the neighbour is moving; and if the neighbour moves fast enough, the differences coming from the neighbour's relative position largely disappear. From the lens of decision-making, neighbour speed acts as confidence measure about where to go. This article is part of a discussion meeting issue 'Collective behaviour through time'.
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Affiliation(s)
| | | | - Dean Rance
- Champalimaud Research, Champalimaud Foundation, 1400-038 Lisbon, Portugal
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14
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Ioannou CC, Laskowski KL. A multi-scale review of the dynamics of collective behaviour: from rapid responses to ontogeny and evolution. Philos Trans R Soc Lond B Biol Sci 2023; 378:20220059. [PMID: 36802782 PMCID: PMC9939272 DOI: 10.1098/rstb.2022.0059] [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: 01/25/2023] [Accepted: 01/26/2023] [Indexed: 02/21/2023] Open
Abstract
Collective behaviours, such as flocking in birds or decision making by bee colonies, are some of the most intriguing behavioural phenomena in the animal kingdom. The study of collective behaviour focuses on the interactions between individuals within groups, which typically occur over close ranges and short timescales, and how these interactions drive larger scale properties such as group size, information transfer within groups and group-level decision making. To date, however, most studies have focused on snapshots, typically studying collective behaviour over short timescales up to minutes or hours. However, being a biological trait, much longer timescales are important in animal collective behaviour, particularly how individuals change over their lifetime (the domain of developmental biology) and how individuals change from one generation to the next (the domain of evolutionary biology). Here, we give an overview of collective behaviour across timescales from the short to the long, illustrating how a full understanding of this behaviour in animals requires much more research attention on its developmental and evolutionary biology. Our review forms the prologue of this special issue, which addresses and pushes forward understanding the development and evolution of collective behaviour, encouraging a new direction for collective behaviour research. This article is part of a discussion meeting issue 'Collective behaviour through time'.
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Affiliation(s)
| | - Kate L. Laskowski
- Department of Evolution and Ecology, University of California Davis, Davis, CA 95616, USA
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15
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Paz A, Holt KJ, Clarke A, Aviles A, Abraham B, Keene AC, Duboué ER, Fily Y, Kowalko JE. Changes in local interaction rules during ontogeny underlie the evolution of collective behavior. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.28.534467. [PMID: 37034671 PMCID: PMC10081253 DOI: 10.1101/2023.03.28.534467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
Collective motion emerges from individual interactions which produce groupwide patterns in behavior. While adaptive changes to collective motion are observed across animal species, how local interactions change when these collective behaviors evolve is poorly understood. Here, we use the Mexican tetra, A. mexicanus, which exists as a schooling surface form and a non-schooling cave form, to study differences in how fish alter their swimming in response to neighbors across ontogeny and between evolutionarily diverged populations. We find that surface fish undergo a transition to schooling during development that occurs through increases in inter-individual alignment and attraction mediated by changes in the way fish modulate speed and turning relative to neighbors. Cavefish, which have evolved loss of schooling, exhibit neither of these schooling-promoting interactions at any stage of development. These results reveal how evolution alters local interaction rules to produce striking differences in collective behavior.
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Affiliation(s)
- Alexandra Paz
- Wilkes Honors College, Florida Atlantic University, Jupiter FL
| | - Karla J. Holt
- Wilkes Honors College, Florida Atlantic University, Jupiter FL
| | - Anik Clarke
- Wilkes Honors College, Florida Atlantic University, Jupiter FL
| | - Ari Aviles
- Wilkes Honors College, Florida Atlantic University, Jupiter FL
| | - Briana Abraham
- Wilkes Honors College, Florida Atlantic University, Jupiter FL
| | | | - Erik R. Duboué
- Wilkes Honors College, Florida Atlantic University, Jupiter FL
| | - Yaouen Fily
- Wilkes Honors College, Florida Atlantic University, Jupiter FL
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16
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Bai C, Zheng Y, Tian L, Lin J, Song Y, Huang C, Dong Q, Chen J. Structure-based developmental toxicity and ASD-phenotypes of bisphenol A analogues in embryonic zebrafish. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 253:114643. [PMID: 36805134 DOI: 10.1016/j.ecoenv.2023.114643] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 02/08/2023] [Accepted: 02/11/2023] [Indexed: 06/18/2023]
Abstract
Autism spectrum disorder (ASD) is a neurodevelopmental disorder that has become more prevalent in recent years. Environmental endocrine disruptor bisphenol A (BPA) has been linked to ASD. BPA analogues (BPs) are structure-modified substitutes widely used as safer alternatives in consumer products, yet few studies have explored the developmental neurotoxicity (DNT) of BPA analogues. In the present study, we used the larval zebrafish model to assess the DNT effects of BPA and its analogues. Our results showed that many BPA analogues are more toxic than BPA in the embryonic zebrafish assay regarding teratogenic effect and mortality, which may partially due to differences in lipophilicity and/or different substitutes of structural function groups such as CF3, benzene, or cyclohexane. At sublethal concentrations, zebrafish embryos exposed to BPA or BPs also displayed reduced prosocial behavior in later larval development, evidenced by increased nearest neighbor distance (NND) and the interindividual distance (IID) in shoaling, which appears to be structurally independent. An in-depth analysis of BPA, bisphenol F (BPF), and bisphenol S (BPS) revealed macrocephaly and ASD-like behavioral deficits resulting from exposures to sublethal concentrations of these chemicals. The ASD-like behavioral deficits were characterized by hyperactivity, increased anxiety-like behavior, and decreased social contact. Mechanistically, accelerated neurogenesis that manifested by increased cell proliferation, the proportion of newborn mature neurons, and the number of neural stem cells in proliferation, as well as upregulated genes related to the K+ channels, may have contributed to the observed ASD-like morphological and behavioral alterations. Our findings indicate that BPF and BPS may also pose significant risks to ASD development in humans and highlight the importance of a comprehensive assessment of DNT effects for all BPA analogues in the future.
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Affiliation(s)
- Chenglian Bai
- School of Public Health and Management, Wenzhou Medical University, Wenzhou 325035, PR China; The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou 325035, PR China
| | - Yi Zheng
- School of Laboratory Medicine and Life Science, Wenzhou Medical University, Wenzhou 325035, PR China
| | - Linjie Tian
- School of Public Health and Management, Wenzhou Medical University, Wenzhou 325035, PR China
| | - Jian Lin
- The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou 325035, PR China
| | - Yang Song
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, PR China
| | - Changjiang Huang
- School of Public Health and Management, Wenzhou Medical University, Wenzhou 325035, PR China
| | - Qiaoxiang Dong
- School of Public Health and Management, Wenzhou Medical University, Wenzhou 325035, PR China; The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou 325035, PR China.
| | - Jiangfei Chen
- School of Public Health and Management, Wenzhou Medical University, Wenzhou 325035, PR China.
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17
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Wang X, Liu S, Yu Y, Yue S, Liu Y, Zhang F, Lin Y. Modeling collective motion for fish schooling via multi-agent reinforcement learning. Ecol Modell 2023. [DOI: 10.1016/j.ecolmodel.2022.110259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
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18
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Niizato T, Murakami H, Musha T. Functional duality in group criticality via ambiguous interactions. PLoS Comput Biol 2023; 19:e1010869. [PMID: 36791061 PMCID: PMC9931117 DOI: 10.1371/journal.pcbi.1010869] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 01/10/2023] [Indexed: 02/16/2023] Open
Abstract
Critical phenomena are wildly observed in living systems. If the system is at criticality, it can quickly transfer information and achieve optimal response to external stimuli. Especially, animal collective behavior has numerous critical properties, which are related to other research regions, such as the brain system. Although the critical phenomena influencing collective behavior have been extensively studied, two important aspects require clarification. First, these critical phenomena never occur on a single scale but are instead nested from the micro- to macro-levels (e.g., from a Lévy walk to scale-free correlation). Second, the functional role of group criticality is unclear. To elucidate these aspects, the ambiguous interaction model is constructed in this study; this model has a common framework and is a natural extension of previous representative models (such as the Boids and Vicsek models). We demonstrate that our model can explain the nested criticality of collective behavior across several scales (considering scale-free correlation, super diffusion, Lévy walks, and 1/f fluctuation for relative velocities). Our model can also explain the relationship between scale-free correlation and group turns. To examine this relation, we propose a new method, applying partial information decomposition (PID) to two scale-free induced subgroups. Using PID, we construct information flows between two scale-free induced subgroups and find that coupling of the group morphology (i.e., the velocity distributions) and its fluctuation power (i.e., the fluctuation distributions) likely enable rapid group turning. Thus, the flock morphology may help its internal fluctuation convert to dynamic behavior. Our result sheds new light on the role of group morphology, which is relatively unheeded, retaining the importance of fluctuation dynamics in group criticality.
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Affiliation(s)
- Takayuki Niizato
- Faculty of Engineering, Information and Systems, University of Tsukuba, Tsukuba, Ibaraki, Japan
- * E-mail:
| | - Hisashi Murakami
- Faculty of Information and Human Science, Kyoto Institute of Technology, Sakyo-ku, Kyoto city, Kyoto, Japan
| | - Takuya Musha
- Faculty of Engineering, Information and Systems, University of Tsukuba, Tsukuba, Ibaraki, Japan
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19
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Jiang M, Zhou A, Chen R, Yang Y, Dong H, Wang W. Collective motions of fish originate from balanced local perceptual interactions and individual stochastics. Phys Rev E 2023; 107:024411. [PMID: 36932600 DOI: 10.1103/physreve.107.024411] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Accepted: 01/23/2023] [Indexed: 06/18/2023]
Abstract
The movement of a group of biological individuals, such as fish schools, can evolve from disordered motions to synergistic movements or even ordered patterns. However, the physical origins behind such emergent phenomena of complex systems remain elusive. Here, we established a high-precision protocol for studying the collective behavior of biological groups in quasi-two-dimensional systems. Based on our video recording of ∼600h of fish movements, we extracted a force map of the interactions between fish from their trajectories using the convolution neural network. Presumably, this force implies the fish's perception of the surrounding individuals, the environment, and their response to social information. Interestingly, the fish in our experiments were predominantly in a seemingly disordered swarm state, but their local interactions were clearly specific. Combining such local interactions with the inherent stochasticity of the fish movements, we reproduced the collective motions of the fish through simulations. We demonstrated that a delicate balance between the specific local force and the intrinsic stochasticity is essential for ordered movements. This study presents implications for self-organized systems that use basic physical characterization to produce higher-level sophistication.
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Affiliation(s)
- Mingjie Jiang
- Kuang Yaming Honors School, Nanjing University, Nanjing 210023, China
| | - Anyu Zhou
- Kuang Yaming Honors School, Nanjing University, Nanjing 210023, China
- School of Physics, National Laboratory of Solid State Microstructure, and Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing 210093, China
| | - Runping Chen
- Kuang Yaming Honors School, Nanjing University, Nanjing 210023, China
| | - Yuqin Yang
- Kuang Yaming Honors School, Nanjing University, Nanjing 210023, China
| | - Hao Dong
- Kuang Yaming Honors School, Nanjing University, Nanjing 210023, China
- Institute for Brain Sciences, Nanjing University, Nanjing 210023, China
- State Key Laboratory of Analytical Chemistry for Life Science, Nanjing University, Nanjing 210023, China
| | - Wei Wang
- School of Physics, National Laboratory of Solid State Microstructure, and Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing 210093, China
- Institute for Brain Sciences, Nanjing University, Nanjing 210023, China
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20
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O'Coin D, Mclvor GE, Thornton A, Ouellette NT, Ling H. Velocity correlations in jackdaw flocks in different ecological contexts. Phys Biol 2022; 20. [PMID: 36541516 DOI: 10.1088/1478-3975/aca862] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 12/01/2022] [Indexed: 12/03/2022]
Abstract
Velocity correlation is an important feature for animal groups performing collective motions. Previous studies have mostly focused on the velocity correlation in a single ecological context. It is unclear whether correlation characteristics vary in a single species in different contexts. Here, we studied the velocity correlations in jackdaw flocks in two different contexts: transit flocks where birds travel from one location to another, and mobbing flocks where birds respond to an external stimulus. We found that in both contexts, although the interaction rules are different, the velocity correlations remain scale-free, i.e. the correlation length (the distance over which the velocity of two individuals is similar) increases linearly with the group size. Furthermore, we found that the correlation length is independent of the group density for transit flocks, but increases with increasing group density in mobbing flocks. This result confirms a previous observation that birds obey topological interactions in transit flocks, but switch to metric interactions in mobbing flocks. Finally, in both contexts, the impact of group polarization on correlation length is not significant. Our results suggest that wild animals are always able to respond coherently to perturbations regardless of context.
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Affiliation(s)
- Daniel O'Coin
- Department of Mechanical Engineering, University of Massachusetts Dartmouth, North Dartmouth, MA, United States of America
| | - Guillam E Mclvor
- Center for Ecology and Conservation, University of Exeter, Penryn, United Kingdom
| | - Alex Thornton
- Center for Ecology and Conservation, University of Exeter, Penryn, United Kingdom
| | - Nicholas T Ouellette
- Department of Civil and Environmental Engineering, Stanford University, Stanford, CA, United States of America
| | - Hangjian Ling
- Department of Mechanical Engineering, University of Massachusetts Dartmouth, North Dartmouth, MA, United States of America
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21
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Kim SA, Kim L, Kim TH, An YJ. Assessing the size-dependent effects of microplastics on zebrafish larvae through fish lateral line system and gut damage. MARINE POLLUTION BULLETIN 2022; 185:114279. [PMID: 36330940 DOI: 10.1016/j.marpolbul.2022.114279] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 10/13/2022] [Accepted: 10/17/2022] [Indexed: 06/16/2023]
Abstract
This study evaluated the size-dependent effects of high-density polyethylene (HDPE) fragments in zebrafish. Larvae were exposed to HDPE microplastic (MP) in three sizes, small (14.12 μm), medium (80.32 μm), and large (120.97 μm), at 20 mg/L. Size-dependent effects in terms of MP intake, subsequent gut damage, and behavioral changes were observed. The results showed that HDPE exposure did not affect the survivability of zebrafish larvae but caused two significant changes. First, exposure to large MPs caused the most serious damage to hair cells and mechanosensory receptors in the fish's lateral line system. Second, exposure to MPs < 100 μm resulted in their ingestion by larvae, thereby causing morphological changes in the gastrointestinal tract. All larvae exposed to MPs showed behavioral pattern changes associated with size differences. This study improves our understanding of the effects of MPs on aquatic organisms and highlights the need to implement efficient strategies for plastic waste management.
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Affiliation(s)
- Sang A Kim
- Department of Environmental Health Science, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul 05029, Republic of Korea
| | - Lia Kim
- Department of Environmental Health Science, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul 05029, Republic of Korea
| | - Tae Hee Kim
- Advanced Textile R&D Department, Korea Institute of Industrial Technology, Ansan 426-171, Republic of Korea
| | - Youn-Joo An
- Department of Environmental Health Science, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul 05029, Republic of Korea.
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22
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Sbragaglia V, Roy T, Thörnqvist PO, López-Olmeda JF, Winberg S, Arlinghaus R. Evolutionary implications of size-selective mortality on the ontogenetic development of shoal cohesion: a neurochemical approach using a zebrafish, Danio rerio, harvest selection experiment. Behav Ecol Sociobiol 2022. [DOI: 10.1007/s00265-022-03258-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Abstract
Size-selective mortality may evolutionarily alter life-history as well as individual behavioral and physiological traits. Moreover, size-selective mortality can affect group behavioral traits, such as shoaling and collective properties (e.g., shoal cohesion), which are relevant for finding food and reducing risk of predation. Here, we present experimental evidence using selection lines of zebrafish (Danio rerio) that were exposed to positive (large-harvested), negative (small-harvested), and random (control) size-selective mortality for five generations, followed by eight generations during which harvesting was halted to remove maternal effects and to study evolutionarily fixed outcomes. We investigated changes in shoal cohesion and turnover in monoamines in zebrafish through ontogeny. To that end, we repeatedly measured inter-individual distance in groups of eight fish and the turnovers of dopamine and serotonin in brains of fish from juvenile to the adult stage at 40-day intervals. We, firstly, found that shoal cohesion was overall consistent through ontogeny at group levels suggesting the presence of collective personality. Secondly, we found a decrease in shoal cohesion through ontogeny in the small-harvested and control lines, while the large-harvested line did not show any ontogenetic change. Thirdly, the selection lines did not differ among each other in shoal cohesion at any ontogenetic stage. Fourthly, dopamine turnover increased through ontogeny in a similar way for all lines while the serotonin turnover decreased in the large-harvested and control lines, but not in the small-harvested line. The large-harvested line also had higher serotonin turnover than controls at specific time periods. In conclusion, intensive size-selective mortality left an evolutionary legacy of asymmetric selection responses in the ontogeny of shoal cohesion and the underlying physiological mechanisms in experimentally harvested zebrafish in the laboratory.
Significant statement
The evolution of animal behavior can be affected by human activities both at behavioral and physiological levels, but causal evidence is scarce and mostly focusing on single life-stages. We studied whether and to what extent size-selective harvesting, a common selection pattern in fisheries, can be an evolutionary driver of the development of shoal cohesion during ontogeny. We used a multi-generation experiment with zebrafish to study cause-and-effects of opposing size-selection patterns. We quantified shoal cohesion, and serotonin and dopamine turnover in the brain. We found that shoal cohesion emerged as a collective personality trait and that behavioral and physiological responses were asymmetrical with respect to the opposing selection patterns.
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23
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Geng Y, Zhang T, Alonzo IG, Godar SC, Yates C, Pluimer BR, Harrison DL, Nath AK, Yeh JRJ, Drummond IA, Bortolato M, Peterson RT. Top2a promotes the development of social behavior via PRC2 and H3K27me3. SCIENCE ADVANCES 2022; 8:eabm7069. [PMID: 36417527 PMCID: PMC9683714 DOI: 10.1126/sciadv.abm7069] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Accepted: 10/25/2022] [Indexed: 06/16/2023]
Abstract
Little is understood about the embryonic development of sociality. We screened 1120 known drugs and found that embryonic inhibition of topoisomerase IIα (Top2a) resulted in lasting social deficits in zebrafish. In mice, prenatal Top2 inhibition caused defects in social interaction and communication, which are behaviors that relate to core symptoms of autism. Mutation of Top2a in zebrafish caused down-regulation of a set of genes highly enriched for genes associated with autism in humans. Both the Top2a-regulated and autism-associated gene sets have binding sites for polycomb repressive complex 2 (PRC2), a regulatory complex responsible for H3K27 trimethylation (H3K27me3). Moreover, both gene sets are highly enriched for H3K27me3. Inhibition of the PRC2 component Ezh2 rescued social deficits caused by Top2 inhibition. Therefore, Top2a is a key component of an evolutionarily conserved pathway that promotes the development of social behavior through PRC2 and H3K27me3.
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Affiliation(s)
- Yijie Geng
- Department of Pharmacology and Toxicology, College of Pharmacy, University of Utah, Salt Lake City, UT 84112, USA
| | - Tejia Zhang
- Department of Pharmacology and Toxicology, College of Pharmacy, University of Utah, Salt Lake City, UT 84112, USA
| | - Ivy G. Alonzo
- Department of Pharmacology and Toxicology, College of Pharmacy, University of Utah, Salt Lake City, UT 84112, USA
| | - Sean C. Godar
- Department of Pharmacology and Toxicology, College of Pharmacy, University of Utah, Salt Lake City, UT 84112, USA
| | - Christopher Yates
- Department of Pharmacology and Toxicology, College of Pharmacy, University of Utah, Salt Lake City, UT 84112, USA
| | - Brock R. Pluimer
- Department of Pharmacology and Toxicology, College of Pharmacy, University of Utah, Salt Lake City, UT 84112, USA
| | - Devin L. Harrison
- The Graduate Program in Biophysical Sciences, The University of Chicago, Chicago, IL 60637, USA
| | - Anjali K. Nath
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA 02115, USA
- Cardiovascular Research Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129, USA
- Metabolism Program, Broad Institute, Cambridge, MA 02142, USA
| | - Jing-Ruey Joanna Yeh
- Cardiovascular Research Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129, USA
| | - Iain A. Drummond
- Davis Center for Aging and Regeneration, MDI Biological Laboratory, Bar Harbor, ME 04609, USA
| | - Marco Bortolato
- Department of Pharmacology and Toxicology, College of Pharmacy, University of Utah, Salt Lake City, UT 84112, USA
| | - Randall T. Peterson
- Department of Pharmacology and Toxicology, College of Pharmacy, University of Utah, Salt Lake City, UT 84112, USA
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24
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Bruckner JJ, Stednitz SJ, Grice MZ, Zaidan D, Massaquoi MS, Larsch J, Tallafuss A, Guillemin K, Washbourne P, Eisen JS. The microbiota promotes social behavior by modulating microglial remodeling of forebrain neurons. PLoS Biol 2022; 20:e3001838. [PMID: 36318534 PMCID: PMC9624426 DOI: 10.1371/journal.pbio.3001838] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 09/19/2022] [Indexed: 11/06/2022] Open
Abstract
Host-associated microbiotas guide the trajectory of developmental programs, and altered microbiota composition is linked to neurodevelopmental conditions such as autism spectrum disorder. Recent work suggests that microbiotas modulate behavioral phenotypes associated with these disorders. We discovered that the zebrafish microbiota is required for normal social behavior and reveal a molecular pathway linking the microbiota, microglial remodeling of neural circuits, and social behavior in this experimentally tractable model vertebrate. Examining neuronal correlates of behavior, we found that the microbiota restrains neurite complexity and targeting of forebrain neurons required for normal social behavior and is necessary for localization of forebrain microglia, brain-resident phagocytes that remodel neuronal arbors. The microbiota also influences microglial molecular functions, including promoting expression of the complement signaling pathway and the synaptic remodeling factor c1q. Several distinct bacterial taxa are individually sufficient for normal microglial and neuronal phenotypes, suggesting that host neuroimmune development is sensitive to a feature common among many bacteria. Our results demonstrate that the microbiota influences zebrafish social behavior by stimulating microglial remodeling of forebrain circuits during early neurodevelopment and suggest pathways for new interventions in multiple neurodevelopmental disorders.
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Affiliation(s)
- Joseph J. Bruckner
- Institute of Neuroscience, Department of Biology, University of Oregon, Eugene, Oregon, United States of America
| | - Sarah J. Stednitz
- Institute of Neuroscience, Department of Biology, University of Oregon, Eugene, Oregon, United States of America
| | - Max Z. Grice
- Institute of Neuroscience, Department of Biology, University of Oregon, Eugene, Oregon, United States of America
| | - Dana Zaidan
- Institute of Neuroscience, Department of Biology, University of Oregon, Eugene, Oregon, United States of America
| | - Michelle S. Massaquoi
- Institute of Molecular Biology, Department of Biology, University of Oregon, Eugene, Oregon, United States of America
| | - Johannes Larsch
- Department Genes-Circuits-Behavior, Max Planck Institute of Neurobiology, Martinsried, Germany
| | - Alexandra Tallafuss
- Institute of Neuroscience, Department of Biology, University of Oregon, Eugene, Oregon, United States of America
| | - Karen Guillemin
- Institute of Molecular Biology, Department of Biology, University of Oregon, Eugene, Oregon, United States of America
- Humans and the Microbiome Program, CIFAR, Toronto, Ontario, Canada
| | - Philip Washbourne
- Institute of Neuroscience, Department of Biology, University of Oregon, Eugene, Oregon, United States of America
| | - Judith S. Eisen
- Institute of Neuroscience, Department of Biology, University of Oregon, Eugene, Oregon, United States of America
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25
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Roy T, Arlinghaus R. Size-selective mortality fosters ontogenetic changes in collective risk-taking behaviour in zebrafish, Danio rerio. Oecologia 2022; 200:89-106. [PMID: 36181546 PMCID: PMC9547785 DOI: 10.1007/s00442-022-05256-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Accepted: 09/03/2022] [Indexed: 12/02/2022]
Abstract
Size-selective mortality is common in fish populations and can operate either in a positive size-selective fashion by harvesting larger-than-average fish or be negatively size-selective by harvesting smaller-than-average fish. Through various mechanisms (like genetic correlations among behaviour and life-history traits or direct selection on behaviour co-varying with growth rate or size-at-maturation), size-selection can result in evolutionary changes in behavioural traits. Theory suggests that both positive and negative size-selection without additional selection on behaviour favours boldness, while evolution of shyness is possible if the largest fish are harvested. Here we examined the impact of size-selective mortality on collective boldness across ontogeny using three experimental lines of zebrafish (Daniorerio) generated through positive (large-harvested), negative (small-harvested) and random (control line) size-selective mortality for five generations and then relaxed selection for 10 generations to examine evolutionarily fixed outcomes. We measured collective risk-taking during feeding (boldness) under simulated aerial predation threat, and across four contexts in presence/absence of a cichlid. Boldness decreased across ontogeny under aerial predation threat, and the small-harvested line was consistently bolder than controls. The large and small-harvested lines showed higher behavioural plasticity as larvae and developed personality earlier compared to the controls. The large-harvested line showed increased variability and plasticity in boldness throughout ontogeny. In the presence of a live predator, fish did not differ in boldness in three contexts compared to the controls, but the large-harvested line showed reduced behavioural plasticity across contexts than controls. Our results confirmed theory by demonstrating that size-selective harvesting evolutionarily alters collective boldness and its variability and plasticity.
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Affiliation(s)
- Tamal Roy
- Department of Fish Biology, Fisheries and Aquaculture, Leibniz Institute of Freshwater Ecology and Inland Fisheries, Müggelseedamm 310, 12587, Berlin, Germany.
| | - Robert Arlinghaus
- Department of Fish Biology, Fisheries and Aquaculture, Leibniz Institute of Freshwater Ecology and Inland Fisheries, Müggelseedamm 310, 12587, Berlin, Germany.,Division of Integrative Fisheries Management, Department of Crop and Animal Sciences, Faculty of Life Sciences, Humboldt-Universität zu Berlin, Philippstrasse 13, Haus 7, 10115, Berlin, Germany
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26
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Kappel JM, Förster D, Slangewal K, Shainer I, Svara F, Donovan JC, Sherman S, Januszewski M, Baier H, Larsch J. Visual recognition of social signals by a tectothalamic neural circuit. Nature 2022; 608:146-152. [PMID: 35831500 PMCID: PMC9352588 DOI: 10.1038/s41586-022-04925-5] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 06/02/2022] [Indexed: 12/23/2022]
Abstract
Social affiliation emerges from individual-level behavioural rules that are driven by conspecific signals1-5. Long-distance attraction and short-distance repulsion, for example, are rules that jointly set a preferred interanimal distance in swarms6-8. However, little is known about their perceptual mechanisms and executive neural circuits3. Here we trace the neuronal response to self-like biological motion9,10, a visual trigger for affiliation in developing zebrafish2,11. Unbiased activity mapping and targeted volumetric two-photon calcium imaging revealed 21 activity hotspots distributed throughout the brain as well as clustered biological-motion-tuned neurons in a multimodal, socially activated nucleus of the dorsal thalamus. Individual dorsal thalamus neurons encode local acceleration of visual stimuli mimicking typical fish kinetics but are insensitive to global or continuous motion. Electron microscopic reconstruction of dorsal thalamus neurons revealed synaptic input from the optic tectum and projections into hypothalamic areas with conserved social function12-14. Ablation of the optic tectum or dorsal thalamus selectively disrupted social attraction without affecting short-distance repulsion. This tectothalamic pathway thus serves visual recognition of conspecifics, and dissociates neuronal control of attraction from repulsion during social affiliation, revealing a circuit underpinning collective behaviour.
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Affiliation(s)
- Johannes M Kappel
- Max Planck Institute for Biological Intelligence (formerly Max Planck Institute of Neurobiology), Planegg, Germany
| | - Dominique Förster
- Max Planck Institute for Biological Intelligence (formerly Max Planck Institute of Neurobiology), Planegg, Germany
| | - Katja Slangewal
- Max Planck Institute for Biological Intelligence (formerly Max Planck Institute of Neurobiology), Planegg, Germany
- Centre for the Advanced Study of Collective Behaviour, University of Konstanz, Konstanz, Germany
| | - Inbal Shainer
- Max Planck Institute for Biological Intelligence (formerly Max Planck Institute of Neurobiology), Planegg, Germany
| | - Fabian Svara
- Max Planck Institute for Biological Intelligence (formerly Max Planck Institute of Neurobiology), Planegg, Germany
- Max Planck Institute for Neurobiology of Behavior - caesar, Bonn, Germany
| | - Joseph C Donovan
- Max Planck Institute for Biological Intelligence (formerly Max Planck Institute of Neurobiology), Planegg, Germany
| | - Shachar Sherman
- Max Planck Institute for Biological Intelligence (formerly Max Planck Institute of Neurobiology), Planegg, Germany
| | | | - Herwig Baier
- Max Planck Institute for Biological Intelligence (formerly Max Planck Institute of Neurobiology), Planegg, Germany.
| | - Johannes Larsch
- Max Planck Institute for Biological Intelligence (formerly Max Planck Institute of Neurobiology), Planegg, Germany.
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27
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Messina A, Potrich D, Perrino M, Sheardown E, Miletto Petrazzini ME, Luu P, Nadtochiy A, Truong TV, Sovrano VA, Fraser SE, Brennan CH, Vallortigara G. Quantity as a Fish Views It: Behavior and Neurobiology. Front Neuroanat 2022; 16:943504. [PMID: 35911657 PMCID: PMC9334151 DOI: 10.3389/fnana.2022.943504] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Accepted: 06/10/2022] [Indexed: 11/13/2022] Open
Abstract
An ability to estimate quantities, such as the number of conspecifics or the size of a predator, has been reported in vertebrates. Fish, in particular zebrafish, may be instrumental in advancing the understanding of magnitude cognition. We review here the behavioral studies that have described the ecological relevance of quantity estimation in fish and the current status of the research aimed at investigating the neurobiological bases of these abilities. By combining behavioral methods with molecular genetics and calcium imaging, the involvement of the retina and the optic tectum has been documented for the estimation of continuous quantities in the larval and adult zebrafish brain, and the contributions of the thalamus and the dorsal-central pallium for discrete magnitude estimation in the adult zebrafish brain. Evidence for basic circuitry can now be complemented and extended to research that make use of transgenic lines to deepen our understanding of quantity cognition at genetic and molecular levels.
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Affiliation(s)
- Andrea Messina
- Centre for Mind/Brain Sciences, University of Trento, Rovereto, Italy
| | - Davide Potrich
- Centre for Mind/Brain Sciences, University of Trento, Rovereto, Italy
| | - Matilde Perrino
- Centre for Mind/Brain Sciences, University of Trento, Rovereto, Italy
| | - Eva Sheardown
- Centre for Developmental Neurobiology, Institute of Psychiatry, Psychology and Neuroscience, New Hunt’s House, Kings College London, London, United Kingdom
| | | | - Peter Luu
- Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA, United States
| | - Anna Nadtochiy
- Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA, United States
| | - Thai V. Truong
- Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA, United States
| | - Valeria Anna Sovrano
- Centre for Mind/Brain Sciences, University of Trento, Rovereto, Italy
- Department of Psychology and Cognitive Science, University of Trento, Rovereto, Italy
| | - Scott E. Fraser
- Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA, United States
| | - Caroline H. Brennan
- School of Biological and Behavioral Sciences, Queen Mary University of London, London, United Kingdom
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28
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Ecological decision-making: From circuit elements to emerging principles. Curr Opin Neurobiol 2022; 74:102551. [DOI: 10.1016/j.conb.2022.102551] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Revised: 03/30/2022] [Accepted: 04/07/2022] [Indexed: 01/05/2023]
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29
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Wang J, Zheng F, Yin L, Shi S, Hu B, Qu H, Zheng L. Dopamine Level Affects Social Interaction and Color Preference Possibly Through Intestinal Microbiota in Zebrafish. Zebrafish 2022; 19:81-93. [PMID: 35704897 DOI: 10.1089/zeb.2021.0077] [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: 01/09/2023] Open
Abstract
Accumulating researches suggest that the microbiota reside in the gastrointestinal system can influence neurodevelopment of brain and programming of behaviors. However, the mechanism underlining the relationship between shoals' behaviors and intestinal microbiota remain controversial and the roles of responsible neurotransmitters are still unclear. Here we show that shoaling behavior affected the color preference of shoals, indicating that shoals tended to choose a favorable color environment that benefited social contact. Meanwhile, administration of the selective D1-R antagonist, SCH23390, could disrupt the social interaction that led to the deficits of color preference in shoals. More importantly, the altered microbiota caused by an antibiotic oxytetracycline (OTC) exposure decreased the sociability and weakened shoals' preference for all color combinations. When given a supplementation of Lactobacillus rhamnosus GG after OTC exposure, fish maintained the same capability of social cohesion and color preference as normal fish. Our results support a role for dopamine in shaping the color preference in shoals. Our findings show that dopamine level of brain could mediate both social recognition and color preference, and offer a possibility that the production of dopamine is coordinated through gut microbiota.
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Affiliation(s)
- Ju Wang
- School of Food and Biological Engineering, Hefei University of Technology, Hefei, China
| | - Feng Zheng
- School of Food and Biological Engineering, Hefei University of Technology, Hefei, China
| | - Lifen Yin
- School of Food and Biological Engineering, Hefei University of Technology, Hefei, China
| | - Shengnan Shi
- School of Food and Biological Engineering, Hefei University of Technology, Hefei, China
| | - Bing Hu
- School of Life Science, University of Science and Technology of China, Hefei, China
| | - Hao Qu
- School of Food and Biological Engineering, Hefei University of Technology, Hefei, China.,Engineering Research Center of Bioprocess, Ministry of Education, Hefei University of Technology, Hefei, China
| | - Lei Zheng
- School of Food and Biological Engineering, Hefei University of Technology, Hefei, China.,Engineering Research Center of Bioprocess, Ministry of Education, Hefei University of Technology, Hefei, China.,Intelligent Interconnected Systems Laboratory of Anhui Province, Hefei University of Technology, Hefei, China
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30
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Wang W, Escobedo R, Sanchez S, Sire C, Han Z, Theraulaz G. The impact of individual perceptual and cognitive factors on collective states in a data-driven fish school model. PLoS Comput Biol 2022; 18:e1009437. [PMID: 35235565 PMCID: PMC8932591 DOI: 10.1371/journal.pcbi.1009437] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Revised: 03/18/2022] [Accepted: 02/08/2022] [Indexed: 11/18/2022] Open
Abstract
In moving animal groups, social interactions play a key role in the ability of individuals to achieve coordinated motion. However, a large number of environmental and cognitive factors are able to modulate the expression of these interactions and the characteristics of the collective movements that result from these interactions. Here, we use a data-driven fish school model to quantitatively investigate the impact of perceptual and cognitive factors on coordination and collective swimming patterns. The model describes the interactions involved in the coordination of burst-and-coast swimming in groups of Hemigrammus rhodostomus. We perform a comprehensive investigation of the respective impacts of two interactions strategies between fish based on the selection of the most or the two most influential neighbors, of the range and intensity of social interactions, of the intensity of individual random behavioral fluctuations, and of the group size, on the ability of groups of fish to coordinate their movements. We find that fish are able to coordinate their movements when they interact with their most or two most influential neighbors, provided that a minimal level of attraction between fish exist to maintain group cohesion. A minimal level of alignment is also required to allow the formation of schooling and milling. However, increasing the strength of social interactions does not necessarily enhance group cohesion and coordination. When attraction and alignment strengths are too high, or when the heading random fluctuations are too large, schooling and milling can no longer be maintained and the school switches to a swarming phase. Increasing the interaction range between fish has a similar impact on collective dynamics as increasing the strengths of attraction and alignment. Finally, we find that coordination and schooling occurs for a wider range of attraction and alignment strength in small group sizes.
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Affiliation(s)
- Weijia Wang
- School of Systems Science, Beijing Normal University, Beijing, China
- Centre de Recherches sur la Cognition Animale, Centre de Biologie Intégrative (CBI), Centre National de la Recherche Scientifique (CNRS) & Université de Toulouse Paul Sabatier, Toulouse, France
- Institut de Recherche en Informatique de Toulouse (IRIT), Université de Toulouse Capitole, Toulouse, France
| | - Ramón Escobedo
- Centre de Recherches sur la Cognition Animale, Centre de Biologie Intégrative (CBI), Centre National de la Recherche Scientifique (CNRS) & Université de Toulouse Paul Sabatier, Toulouse, France
| | - Stéphane Sanchez
- Institut de Recherche en Informatique de Toulouse (IRIT), Université de Toulouse Capitole, Toulouse, France
| | - Clément Sire
- Laboratoire de Physique Théorique, CNRS & Université de Toulouse Paul Sabatier, Toulouse, France
| | - Zhangang Han
- School of Systems Science, Beijing Normal University, Beijing, China
| | - Guy Theraulaz
- Centre de Recherches sur la Cognition Animale, Centre de Biologie Intégrative (CBI), Centre National de la Recherche Scientifique (CNRS) & Université de Toulouse Paul Sabatier, Toulouse, France
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31
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Gatto E, Bruzzone M, Maschio MD, Dadda M. Effects of environmental enrichment on recognition memory in zebrafish larvae. Appl Anim Behav Sci 2022. [DOI: 10.1016/j.applanim.2022.105552] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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32
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Harpaz R, Nguyen MN, Bahl A, Engert F. Precise visuomotor transformations underlying collective behavior in larval zebrafish. Nat Commun 2021; 12:6578. [PMID: 34772934 PMCID: PMC8590009 DOI: 10.1038/s41467-021-26748-0] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Accepted: 10/19/2021] [Indexed: 12/21/2022] Open
Abstract
Complex schooling behaviors result from local interactions among individuals. Yet, how sensory signals from neighbors are analyzed in the visuomotor stream of animals is poorly understood. Here, we studied aggregation behavior in larval zebrafish and found that over development larvae transition from overdispersed groups to tight shoals. Using a virtual reality assay, we characterized the algorithms fish use to transform visual inputs from neighbors into movement decisions. We found that young larvae turn away from virtual neighbors by integrating and averaging retina-wide visual occupancy within each eye, and by using a winner-take-all strategy for binocular integration. As fish mature, their responses expand to include attraction to virtual neighbors, which is based on similar algorithms of visual integration. Using model simulations, we show that the observed algorithms accurately predict group structure over development. These findings allow us to make testable predictions regarding the neuronal circuits underlying collective behavior in zebrafish.
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Affiliation(s)
- Roy Harpaz
- Department of Molecular and Cellular Biology, Harvard University, Cambridge, 02138, USA.
- Center for Brain Science, Harvard University, Cambridge, MA, 02138, USA.
| | - Minh Nguyet Nguyen
- Solomon H. Snyder Department of Neuroscience, Johns Hopkins University, Baltimore, MD, 21205, USA
| | - Armin Bahl
- Centre for the Advanced Study of Collective Behaviour, University of Konstanz, Konstanz, 78464, Germany
| | - Florian Engert
- Department of Molecular and Cellular Biology, Harvard University, Cambridge, 02138, USA
- Center for Brain Science, Harvard University, Cambridge, MA, 02138, USA
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33
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Wu X, Kong K, Xiao W, Liu F. Attractive internuclear force drives the collective behavior of nuclear arrays in Drosophila embryos. PLoS Comput Biol 2021; 17:e1009605. [PMID: 34797833 PMCID: PMC8641897 DOI: 10.1371/journal.pcbi.1009605] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Revised: 12/03/2021] [Accepted: 10/31/2021] [Indexed: 11/25/2022] Open
Abstract
The collective behavior of the nuclear array in Drosophila embryos during nuclear cycle (NC) 11 to NC14 is crucial in controlling cell size, establishing developmental patterns, and coordinating morphogenesis. After live imaging on Drosophila embryos with light sheet microscopy, we extract the nuclear trajectory, speed, and internuclear distance with an automatic nuclear tracing method. We find that the nuclear speed shows a period of standing waves along the anterior-posterior (AP) axis after each metaphase as the nuclei collectively migrate towards the embryo poles and partially move back. And the maximum nuclear speed dampens by 28-45% in the second half of the standing wave. Moreover, the nuclear density is 22-42% lower in the pole region than the middle of the embryo during the interphase of NC12-14. To find mechanical rules controlling the collective motion and packing patterns of the nuclear array, we use a deep neural network (DNN) to learn the underlying force field from data. We apply the learned spatiotemporal attractive force field in the simulations with a particle-based model. And the simulations recapitulate nearly all the observed characteristic collective behaviors of nuclear arrays in Drosophila embryos.
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Affiliation(s)
- Xiaoxuan Wu
- Center for Quantitative Biology, Peking University, Beijing, China
| | - Kakit Kong
- State Key Laboratory of Nuclear Physics and Technology, School of Physics, Peking University, Beijing, China
| | - Wenlei Xiao
- School of Mechanical Engineering and Automation, Beihang University, Beijing, China
| | - Feng Liu
- Center for Quantitative Biology, Peking University, Beijing, China
- State Key Laboratory of Nuclear Physics and Technology, School of Physics, Peking University, Beijing, China
- Key Laboratory of Hebei Province for Molecular Biophysics, Institute of Biophysics, School of Health Science & Biomedical Engineering, Hebei University of Technology, Tianjin, China
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34
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Harpaz R, Aspiras AC, Chambule S, Tseng S, Bind MA, Engert F, Fishman MC, Bahl A. Collective behavior emerges from genetically controlled simple behavioral motifs in zebrafish. SCIENCE ADVANCES 2021; 7:eabi7460. [PMID: 34613782 PMCID: PMC8494438 DOI: 10.1126/sciadv.abi7460] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Accepted: 08/13/2021] [Indexed: 06/13/2023]
Abstract
It is not understood how changes in the genetic makeup of individuals alter the behavior of groups of animals. Here, we find that, even at early larval stages, zebrafish regulate their proximity and alignment with each other. Two simple visual responses, one that measures relative visual field occupancy and one that accounts for global visual motion, suffice to account for the group behavior that emerges. Mutations in genes known to affect social behavior in humans perturb these simple reflexes in individual larval zebrafish and change their emergent collective behaviors in the predicted fashion. Model simulations show that changes in these two responses in individual mutant animals predict well the distinctive collective patterns that emerge in a group. Hence, group behaviors reflect in part genetically defined primitive sensorimotor “motifs,” which are evident even in young larvae.
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Affiliation(s)
- Roy Harpaz
- Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA 02138, USA
- Center for Brain Science, Harvard University, Cambridge, MA 02138, USA
| | - Ariel C. Aspiras
- Harvard Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
| | - Sydney Chambule
- Harvard Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
| | - Sierra Tseng
- Harvard Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
| | - Marie-Abèle Bind
- Biostatistics Center, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Florian Engert
- Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA 02138, USA
- Center for Brain Science, Harvard University, Cambridge, MA 02138, USA
| | - Mark C. Fishman
- Harvard Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
| | - Armin Bahl
- Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA 02138, USA
- Center for Brain Science, Harvard University, Cambridge, MA 02138, USA
- Centre for the Advanced Study of Collective Behaviour, University of Konstanz, Konstanz 78464, Germany
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35
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Diversity and function of motile ciliated cell types within ependymal lineages of the zebrafish brain. Cell Rep 2021; 37:109775. [PMID: 34610312 PMCID: PMC8524669 DOI: 10.1016/j.celrep.2021.109775] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Revised: 07/16/2021] [Accepted: 09/07/2021] [Indexed: 12/15/2022] Open
Abstract
Motile cilia defects impair cerebrospinal fluid (CSF) flow and can cause brain and spine disorders. The development of ciliated cells, their impact on CSF flow, and their function in brain and axial morphogenesis are not fully understood. We have characterized motile ciliated cells within the zebrafish brain ventricles. We show that the ventricles undergo restructuring through development, involving a transition from mono- to multiciliated cells (MCCs) driven by gmnc. MCCs co-exist with monociliated cells and generate directional flow patterns. These ciliated cells have different developmental origins and are genetically heterogenous with respect to expression of the Foxj1 family of ciliary master regulators. Finally, we show that cilia loss from the tela choroida and choroid plexus or global perturbation of multiciliation does not affect overall brain or spine morphogenesis but results in enlarged ventricles. Our findings establish that motile ciliated cells are generated by complementary and sequential transcriptional programs to support ventricular development. Glutamylated tubulin is enriched in cilia of foxj1-expressing cells in the zebrafish Motile ciliated ependymal cells in the zebrafish forebrain are highly diverse Gmnc drives the transition from mono- to multiciliated cells at juvenile stage Lack of multiciliation does not impact brain and spine morphogenesis
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36
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MacGregor HEA, Ioannou CC. Collective motion diminishes, but variation between groups emerges, through time in fish shoals. ROYAL SOCIETY OPEN SCIENCE 2021; 8:210655. [PMID: 34703618 PMCID: PMC8527212 DOI: 10.1098/rsos.210655] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Accepted: 09/01/2021] [Indexed: 06/13/2023]
Abstract
Despite extensive interest in the dynamic interactions between individuals that drive collective motion in animal groups, the dynamics of collective motion over longer time frames are understudied. Using three-spined sticklebacks, Gasterosteus aculeatus, randomly assigned to 12 shoals of eight fish, we tested how six key traits of collective motion changed over shorter (within trials) and longer (between days) timescales under controlled laboratory conditions. Over both timescales, groups became less social with reduced cohesion, polarization, group speed and information transfer. There was consistent inter-group variation (i.e. collective personality variation) for all collective motion parameters, but groups also differed in how their collective motion changed over days in their cohesion, polarization, group speed and information transfer. This magnified differences between groups, suggesting that over time the 'typical' collective motion cannot be easily characterized. Future studies are needed to understand whether such between-group differences in changes over time are adaptive and represent improvements in group performance or are suboptimal but represent a compromise between individuals in their preferences for the characteristics of collective behaviour.
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37
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Iwashita M, Yoshizawa M. Social-like responses are inducible in asocial Mexican cavefish despite the exhibition of strong repetitive behavior. eLife 2021; 10:72463. [PMID: 34542411 PMCID: PMC8500712 DOI: 10.7554/elife.72463] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2021] [Accepted: 09/17/2021] [Indexed: 12/21/2022] Open
Abstract
Social behavior is a hallmark of complex animal systems; however, some species appear to have secondarily lost this social ability. In these non-social species, whether social abilities are permanently lost or suppressed is unclear. The blind cavefish Astyanax mexicanus is known to be asocial. Here, we reveal that cavefish exhibited social-like interactions in familiar environments but suppressed these interactions in stress-associated unfamiliar environments. Furthermore, the level of suppression in sociality was positively correlated with that of stereotypic repetitive behavior, as seen in mammals. Treatment with a human antipsychotic drug targeting the dopaminergic system induced social-like interactions in cavefish, even in unfamiliar environments, while reducing repetitive behavior. Overall, these results suggest that the antagonistic association between repetitive and social-like behaviors is deeply shared from teleosts through mammals.
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Affiliation(s)
- Motoko Iwashita
- School of Life Sciences, the University of Hawai'i at Manoa, Honolulu, United States
| | - Masato Yoshizawa
- School of Life Sciences, the University of Hawai'i at Manoa, Honolulu, United States
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38
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Bartoszek EM, Ostenrath AM, Jetti SK, Serneels B, Mutlu AK, Chau KTP, Yaksi E. Ongoing habenular activity is driven by forebrain networks and modulated by olfactory stimuli. Curr Biol 2021; 31:3861-3874.e3. [PMID: 34416179 PMCID: PMC8445323 DOI: 10.1016/j.cub.2021.08.021] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 07/13/2021] [Accepted: 08/05/2021] [Indexed: 01/08/2023]
Abstract
Ongoing neural activity, which represents internal brain states, is constantly modulated by the sensory information that is generated by the environment. In this study, we show that the habenular circuits act as a major brain hub integrating the structured ongoing activity of the limbic forebrain circuitry and the olfactory information. We demonstrate that ancestral homologs of amygdala and hippocampus in zebrafish forebrain are the major drivers of ongoing habenular activity. We also reveal that odor stimuli can modulate the activity of specific habenular neurons that are driven by this forebrain circuitry. Our results highlight a major role for the olfactory system in regulating the ongoing activity of the habenula and the forebrain, thereby altering brain's internal states.
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Affiliation(s)
- Ewelina Magdalena Bartoszek
- Kavli Institute for Systems Neuroscience and Centre for Neural Computation, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Olav Kyrres gata 9, 7030 Trondheim, Norway
| | - Anna Maria Ostenrath
- Kavli Institute for Systems Neuroscience and Centre for Neural Computation, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Olav Kyrres gata 9, 7030 Trondheim, Norway
| | - Suresh Kumar Jetti
- Neuro-Electronics Research Flanders, Kapeldreef 75, 3001 Leuven, Belgium
| | - Bram Serneels
- Kavli Institute for Systems Neuroscience and Centre for Neural Computation, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Olav Kyrres gata 9, 7030 Trondheim, Norway
| | - Aytac Kadir Mutlu
- Kavli Institute for Systems Neuroscience and Centre for Neural Computation, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Olav Kyrres gata 9, 7030 Trondheim, Norway
| | - Khac Thanh Phong Chau
- Kavli Institute for Systems Neuroscience and Centre for Neural Computation, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Olav Kyrres gata 9, 7030 Trondheim, Norway
| | - Emre Yaksi
- Kavli Institute for Systems Neuroscience and Centre for Neural Computation, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Olav Kyrres gata 9, 7030 Trondheim, Norway; Neuro-Electronics Research Flanders, Kapeldreef 75, 3001 Leuven, Belgium.
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39
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Wang X, Cheng E, Burnett IS. MSBOTS: a multiple small biological organism tracking system robust against non-ideal detection and segmentation conditions. PeerJ 2021; 9:e11750. [PMID: 34395069 PMCID: PMC8323605 DOI: 10.7717/peerj.11750] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Accepted: 06/19/2021] [Indexed: 11/21/2022] Open
Abstract
Accurately tracking a group of small biological organisms using algorithms to obtain their movement trajectories is essential to biomedical and pharmaceutical research. However, object mis-detection, segmentation errors and overlapped individual trajectories are particularly common issues that restrict the development of automatic multiple small organism tracking research. Extending on previous work, this paper presents an accurate and generalised Multiple Small Biological Organism Tracking System (MSBOTS), whose general feasibility is tested on three types of organisms. Evaluated on zebrafish, Artemia and Daphnia video datasets with a wide variety of imaging conditions, the proposed system exhibited decreased overall Multiple Object Tracking Precision (MOTP) errors of up to 77.59%. Moreover, MSBOTS obtained more reliable tracking trajectories with a decreased standard deviation of up to 47.68 pixels compared with the state-of-the-art idTracker system. This paper also presents a behaviour analysis module to study the locomotive characteristics of individual organisms from the obtained tracking trajectories. The developed MSBOTS with the locomotive analysis module and the tested video datasets are made freely available online for public research use.
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Affiliation(s)
- Xiaoying Wang
- School of Engineering, RMIT University, Melbourne, Australia
| | - Eva Cheng
- Faculty of Engineering & Information Technology, University of Technology Sydney, Sydney, New South Wales, Australia
| | - Ian S Burnett
- Faculty of Engineering & Information Technology, University of Technology Sydney, Sydney, New South Wales, Australia
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40
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Corradi L, Filosa A. Neuromodulation and Behavioral Flexibility in Larval Zebrafish: From Neurotransmitters to Circuits. Front Mol Neurosci 2021; 14:718951. [PMID: 34335183 PMCID: PMC8319623 DOI: 10.3389/fnmol.2021.718951] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Accepted: 06/25/2021] [Indexed: 11/13/2022] Open
Abstract
Animals adapt their behaviors to their ever-changing needs. Internal states, such as hunger, fear, stress, and arousal are important behavioral modulators controlling the way an organism perceives sensory stimuli and reacts to them. The translucent zebrafish larva is an ideal model organism for studying neuronal circuits regulating brain states, owning to the possibility of easy imaging and manipulating activity of genetically identified neurons while the animal performs stereotyped and well-characterized behaviors. The main neuromodulatory circuits present in mammals can also be found in the larval zebrafish brain, with the advantage that they contain small numbers of neurons. Importantly, imaging and behavioral techniques can be combined with methods for generating targeted genetic modifications to reveal the molecular underpinnings mediating the functions of such circuits. In this review we discuss how studying the larval zebrafish brain has contributed to advance our understanding of circuits and molecular mechanisms regulating neuromodulation and behavioral flexibility.
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Affiliation(s)
- Laura Corradi
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
| | - Alessandro Filosa
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
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41
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Hong X, Zhao G, Zhou Y, Chen R, Li J, Zha J. Risks to aquatic environments posed by 14 pharmaceuticals as illustrated by their effects on zebrafish behaviour. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 771:145450. [PMID: 33545463 DOI: 10.1016/j.scitotenv.2021.145450] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2020] [Revised: 01/18/2021] [Accepted: 01/23/2021] [Indexed: 06/12/2023]
Abstract
The presence of pharmaceutical residues in aquatic ecosystems is a worldwide problem that may pose serious threats and challenges to the environment, especially to the safety of aquatic biota. In the present study, we investigated the effects of 14 environmentally relevant pharmaceutical compounds on individual and collective-related behaviours in juvenile zebrafish (Danio rerio) for 21 days. The tested concentrations of the compounds spanned three orders of magnitude. This study also compared the potential risks of these compounds in Chinese surface waters based on the data on their toxic effects or only on behavioural effects. In the case of individual behaviours, most antidepressants, but not anti-inflammatory agents or blood lipid-lowering agents, decreased fish locomotor activity (LMA) and individual social activity (IDS); however, all three classes of compounds induced significant disruptions in the light/dark transition locomotor response (LMR-L/D) performance, even at lower treatment levels (0.1-1 μg/L). Furthermore, collective behaviour (CLB) analysis suggested that most of the compounds significantly altered the group sociability of fish and frequently occurred at environmentally relevant concentrations. Finally, a risk assessment suggested that the presence of ibuprofen, fluoxetine, and venlafaxine in the surface waters of China poses a relatively high risk to fish, regardless of the risk ranking based on the data of the toxic or behavioural effects.
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Affiliation(s)
- Xiangsheng Hong
- Key Laboratory of Drinking Water Science and Technology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100085, China
| | - Gaofeng Zhao
- Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Yiqi Zhou
- Key Laboratory of Drinking Water Science and Technology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; Beijing Key Laboratory of Industrial Wastewater Treatment and Reuse, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Rui Chen
- Key Laboratory of Drinking Water Science and Technology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Jiasu Li
- Key Laboratory of Drinking Water Science and Technology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Jinmiao Zha
- Key Laboratory of Drinking Water Science and Technology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; Beijing Key Laboratory of Industrial Wastewater Treatment and Reuse, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
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42
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Palumbo F, Serneels B, Yaksi E. Optimized protocol for conditioned place avoidance learning in juvenile zebrafish. STAR Protoc 2021; 2:100465. [PMID: 33912851 PMCID: PMC8065339 DOI: 10.1016/j.xpro.2021.100465] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Conditioned place avoidance assays are broadly used in mammals to study different cognitive aspects of operant learning. Here, we introduce a series of experimental designs for training juvenile zebrafish in short-term and long-term conditioned place avoidance assays. Our goal is to promote standardization of animal handling procedures and setup conditions to improve animal welfare and reproducibility while studying operant learning behaviors in juvenile zebrafish. For complete details on the use and execution of this protocol, please refer to Palumbo et al. (2020). We describe juvenile zebrafish handling procedures for operant learning behavior We detail experimental designs for short- and long-term learning We introduce potential pitfalls for chemogenetic ablation of neurons We highlight the importance of animal welfare for successful learning performance
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Affiliation(s)
- Fabrizio Palumbo
- Kavli Institute for Systems Neuroscience and Centre for Neural Computation, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, 7030 Trondheim, Norway
| | - Bram Serneels
- Kavli Institute for Systems Neuroscience and Centre for Neural Computation, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, 7030 Trondheim, Norway
| | - Emre Yaksi
- Kavli Institute for Systems Neuroscience and Centre for Neural Computation, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, 7030 Trondheim, Norway
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43
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Bozek K, Hebert L, Portugal Y, Mikheyev AS, Stephens GJ. Markerless tracking of an entire honey bee colony. Nat Commun 2021; 12:1733. [PMID: 33741938 PMCID: PMC7979864 DOI: 10.1038/s41467-021-21769-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Accepted: 02/05/2021] [Indexed: 01/31/2023] Open
Abstract
From cells in tissue, to bird flocks, to human crowds, living systems display a stunning variety of collective behaviors. Yet quantifying such phenomena first requires tracking a significant fraction of the group members in natural conditions, a substantial and ongoing challenge. We present a comprehensive, computational method for tracking an entire colony of the honey bee Apis mellifera using high-resolution video on a natural honeycomb background. We adapt a convolutional neural network (CNN) segmentation architecture to automatically identify bee and brood cell positions, body orientations and within-cell states. We achieve high accuracy (~10% body width error in position, ~10° error in orientation, and true positive rate > 90%) and demonstrate months-long monitoring of sociometric colony fluctuations. These fluctuations include ~24 h cycles in the counted detections, negative correlation between bee and brood, and nightly enhancement of bees inside comb cells. We combine detected positions with visual features of organism-centered images to track individuals over time and through challenging occluding events, recovering ~79% of bee trajectories from five observation hives over 5 min timespans. The trajectories reveal important individual behaviors, including waggle dances and crawling inside comb cells. Our results provide opportunities for the quantitative study of collective bee behavior and for advancing tracking techniques of crowded systems.
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Affiliation(s)
- Katarzyna Bozek
- Biological Physics Theory Unit, OIST Graduate University, Okinawa, Japan.
- University of Cologne, Center for Molecular Medicine Cologne (CMMC), Faculty of Medicine and University Hospital Cologne, Cologne, Germany.
| | - Laetitia Hebert
- Biological Physics Theory Unit, OIST Graduate University, Okinawa, Japan
| | - Yoann Portugal
- Biological Physics Theory Unit, OIST Graduate University, Okinawa, Japan
- Ecology and Evolution Unit, OIST Graduate University, Okinawa, Japan
| | - Alexander S Mikheyev
- Ecology and Evolution Unit, OIST Graduate University, Okinawa, Japan
- Research School of Biology, Australian National University, Canberra, Australia
| | - Greg J Stephens
- Biological Physics Theory Unit, OIST Graduate University, Okinawa, Japan
- Department of Physics and Astronomy, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
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44
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Ogawa S, Pfaff DW, Parhar IS. Fish as a model in social neuroscience: conservation and diversity in the social brain network. Biol Rev Camb Philos Soc 2021; 96:999-1020. [PMID: 33559323 DOI: 10.1111/brv.12689] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2019] [Revised: 01/19/2021] [Accepted: 01/20/2021] [Indexed: 12/21/2022]
Abstract
Mechanisms for fish social behaviours involve a social brain network (SBN) which is evolutionarily conserved among vertebrates. However, considerable diversity is observed in the actual behaviour patterns amongst nearly 30000 fish species. The huge variation found in socio-sexual behaviours and strategies is likely generated by a morphologically and genetically well-conserved small forebrain system. Hence, teleost fish provide a useful model to study the fundamental mechanisms underlying social brain functions. Herein we review the foundations underlying fish social behaviours including sensory, hormonal, molecular and neuroanatomical features. Gonadotropin-releasing hormone neurons clearly play important roles, but the participation of vasotocin and isotocin is also highlighted. Genetic investigations of developing fish brain have revealed the molecular complexity of neural development of the SBN. In addition to straightforward social behaviours such as sex and aggression, new experiments have revealed higher order and unique phenomena such as social eavesdropping and social buffering in fish. Finally, observations interpreted as 'collective cognition' in fish can likely be explained by careful observation of sensory determinants and analyses using the dynamics of quantitative scaling. Understanding of the functions of the SBN in fish provide clues for understanding the origin and evolution of higher social functions in vertebrates.
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Affiliation(s)
- Satoshi Ogawa
- Brain Research Institute, Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Bandar Sunway, Selangor, 47500, Malaysia
| | - Donald W Pfaff
- Laboratory of Neurobiology and Behavior, Rockefeller University, New York, NY, 10065, U.S.A
| | - Ishwar S Parhar
- Brain Research Institute, Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Bandar Sunway, Selangor, 47500, Malaysia
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45
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Fontana BD, Müller TE, Cleal M, de Abreu MS, Norton WHJ, Demin KA, Amstislavskaya TG, Petersen EV, Kalueff AV, Parker MO, Rosemberg DB. Using zebrafish (Danio rerio) models to understand the critical role of social interactions in mental health and wellbeing. Prog Neurobiol 2021; 208:101993. [PMID: 33440208 DOI: 10.1016/j.pneurobio.2021.101993] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Revised: 11/24/2020] [Accepted: 01/05/2021] [Indexed: 02/07/2023]
Abstract
Social behavior represents a beneficial interaction between conspecifics that is critical for maintaining health and wellbeing. Dysfunctional or poor social interaction are associated with increased risk of physical (e.g., vascular) and psychiatric disorders (e.g., anxiety, depression, and substance abuse). Although the impact of negative and positive social interactions is well-studied, their underlying mechanisms remain poorly understood. Zebrafish have well-characterized social behavior phenotypes, high genetic homology with humans, relative experimental simplicity and the potential for high-throughput screens. Here, we discuss the use of zebrafish as a candidate model organism for studying the fundamental mechanisms underlying social interactions, as well as potential impacts of social isolation on human health and wellbeing. Overall, the growing utility of zebrafish models may improve our understanding of how the presence and absence of social interactions can differentially modulate various molecular and physiological biomarkers, as well as a wide range of other behaviors.
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Affiliation(s)
- Barbara D Fontana
- Brain and Behaviour Laboratory, School of Pharmacy and Biomedical Sciences, University of Portsmouth, UK.
| | - Talise E Müller
- Graduate Program in Biological Sciences: Toxicological Biochemistry, Natural and Exact Sciences Center, Federal University of Santa Maria, Santa Maria, RS, Brazil; Laboratory of Experimental Neuropscychobiology, Department of Biochemistry and Molecular Biology, Natural and Exact Sciences Center, Federal University of Santa Maria, Santa Maria, RS, Brazil
| | - Madeleine Cleal
- Brain and Behaviour Laboratory, School of Pharmacy and Biomedical Sciences, University of Portsmouth, UK
| | - Murilo S de Abreu
- Bioscience Institute, University of Passo Fundo, Passo Fundo, Brazil
| | - William H J Norton
- Department of Neuroscience, Psychology and Behaviour, College of Medicine, Biological Sciences and Psychology, University of Leicester, Leicester, UK; The International Zebrafish Neuroscience Research Consortium (ZNRC), Slidell, LA, USA
| | - Konstantin A Demin
- Institute of Experimental Medicine, Almazov National Medical Research Center, St. Petersburg, Russia; Institute of Translational Biomedicine, St. Petersburg State University, St. Petersburg, Russia; Scientific Research Center of Radiology and Surgical Technologies, St. Petersburg, Russia
| | | | - Elena V Petersen
- Laboratory of Molecular Biology, Neuroscience and Bioscreening, Moscow Institute of Physics and Technology, Moscow, Russia
| | - Allan V Kalueff
- School of Pharmacy, Southwest University, Beibei, Chongqing, China; Ural Federal University, Ekaterinburg, Russia
| | - Matthew O Parker
- Brain and Behaviour Laboratory, School of Pharmacy and Biomedical Sciences, University of Portsmouth, UK; The International Zebrafish Neuroscience Research Consortium (ZNRC), Slidell, LA, USA
| | - Denis B Rosemberg
- Graduate Program in Biological Sciences: Toxicological Biochemistry, Natural and Exact Sciences Center, Federal University of Santa Maria, Santa Maria, RS, Brazil; Laboratory of Experimental Neuropscychobiology, Department of Biochemistry and Molecular Biology, Natural and Exact Sciences Center, Federal University of Santa Maria, Santa Maria, RS, Brazil; The International Zebrafish Neuroscience Research Consortium (ZNRC), Slidell, LA, USA.
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46
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Winklmayr C, Kao AB, Bak-Coleman JB, Romanczuk P. The wisdom of stalemates: consensus and clustering as filtering mechanisms for improving collective accuracy. Proc Biol Sci 2020; 287:20201802. [PMID: 33143576 PMCID: PMC7735266 DOI: 10.1098/rspb.2020.1802] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023] Open
Abstract
Groups of organisms, from bacteria to fish schools to human societies, depend on their ability to make accurate decisions in an uncertain world. Most models of collective decision-making assume that groups reach a consensus during a decision-making bout, often through simple majority rule. In many natural and sociological systems, however, groups may fail to reach consensus, resulting in stalemates. Here, we build on opinion dynamics and collective wisdom models to examine how stalemates may affect the wisdom of crowds. For simple environments, where individuals have access to independent sources of information, we find that stalemates improve collective accuracy by selectively filtering out incorrect decisions (an effect we call stalemate filtering). In complex environments, where individuals have access to both shared and independent information, this effect is even more pronounced, restoring the wisdom of crowds in regions of parameter space where large groups perform poorly when making decisions using majority rule. We identify network properties that tune the system between consensus and accuracy, providing mechanisms by which animals, or evolution, could dynamically adjust the collective decision-making process in response to the reward structure of the possible outcomes. Overall, these results highlight the adaptive potential of stalemate filtering for improving the decision-making abilities of group-living animals.
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Affiliation(s)
- Claudia Winklmayr
- Bernstein Center for Computational Neuroscience, Berlin, Germany.,Max Planck Institut für Mathematik in den Naturwissenschaften, Leipzig, Germany
| | | | - Joseph B Bak-Coleman
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA.,Center for an Informed public, University of Washington, Seattle, WA, USA.,eScience Institute, University of Washington, Seattle, WA, USA
| | - Pawel Romanczuk
- Bernstein Center for Computational Neuroscience, Berlin, Germany.,Institute for Theoretical Biology, Department of Biology, Humboldt Universität zu Berlin, Germany
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47
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McKee A, Soto AP, Chen P, McHenry MJ. The sensory basis of schooling by intermittent swimming in the rummy-nose tetra ( Hemigrammus rhodostomus). Proc Biol Sci 2020; 287:20200568. [PMID: 33109007 DOI: 10.1098/rspb.2020.0568] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Schooling is a collective behaviour that enhances the ability of a fish to sense and respond to its environment. Although schooling is essential to the biology of a diversity of fishes, it is generally unclear how this behaviour is coordinated by different sensory modalities. We used experimental manipulation and kinematic measurements to test the role of vision and flow sensing in the rummy-nose tetra (Hemigrammus rhodostomus), which swims with intermittent phases of bursts and coasts. Groups of five fish required a minimum level of illuminance (greater than 1.5 lx) to achieve the necessary close nearest-neighbour distance and high polarization for schooling. Compromising the lateral line system with an antibiotic treatment caused tetras to swim with greater nearest-neighbour distance and lower polarization. Therefore, vision is both necessary and sufficient for schooling in H. rhodostomus, and both sensory modalities aid in attraction. These results can serve as a basis for understanding the individual roles of sensory modalities in schooling for some fish species.
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Affiliation(s)
- Amberle McKee
- Department of Ecology and Evolutionary Biology, University of California, Irvine, 321 Steinhaus Hall, Irvine, CA 92697, USA
| | - Alberto P Soto
- Department of Ecology and Evolutionary Biology, University of California, Irvine, 321 Steinhaus Hall, Irvine, CA 92697, USA
| | - Phoebe Chen
- Department of Ecology and Evolutionary Biology, University of California, Irvine, 321 Steinhaus Hall, Irvine, CA 92697, USA
| | - Matthew J McHenry
- Department of Ecology and Evolutionary Biology, University of California, Irvine, 321 Steinhaus Hall, Irvine, CA 92697, USA
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48
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Facciol A, Gerlai R. Zebrafish Shoaling, Its Behavioral and Neurobiological Mechanisms, and Its Alteration by Embryonic Alcohol Exposure: A Review. Front Behav Neurosci 2020; 14:572175. [PMID: 33100980 PMCID: PMC7546311 DOI: 10.3389/fnbeh.2020.572175] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Accepted: 09/02/2020] [Indexed: 11/17/2022] Open
Abstract
Social cognition and social behaviors are complex phenomena that involve numerous brain areas and underlying neurobiological mechanisms. Embryonic alcohol exposure may lead to the development of Fetal Alcohol Spectrum Disorder (FASD), a disorder that manifests with varying symptoms including abnormal social behavior and other cognitive deficits. Animal models have been utilized to mimic aspects of the disease and to study potential underlying mechanisms. The zebrafish is a relative newcomer in this field but has been suggested as an optimal compromise between system complexity and practical simplicity for modeling FASD. Importantly, due to external fertilization and development of the embryo outside the mother and subsequent lack of parental care, this species allows precise control of the timing and dose of alcohol delivery during embryonic development. Furthermore, the zebrafish is a highly social species and thus may be particularly appropriate for the analysis of embryonic alcohol-induced alterations in this context. Here, we provide a succinct review focusing on shoaling, a prominent form of social behavior, in zebrafish. We summarize what is known about its behavioral mechanisms and underlying neurobiological processes, and how it is altered by exposure to ethanol during embryonic development. Lastly, we briefly consider possible future directions of research that would help us better understand the relationship between the behavioral expression and molecular basis of embryonic ethanol-induced social deficits in fish and humans.
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Affiliation(s)
- Amanda Facciol
- Department of Cell and Systems Biology, University of Toronto, Toronto, ON, Canada
| | - Robert Gerlai
- Department of Cell and Systems Biology, University of Toronto, Toronto, ON, Canada.,Department of Psychology, University of Toronto Mississauga, Mississauga, ON, Canada
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49
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Deutsch A, Friedl P, Preziosi L, Theraulaz G. Multi-scale analysis and modelling of collective migration in biological systems. Philos Trans R Soc Lond B Biol Sci 2020; 375:20190377. [PMID: 32713301 PMCID: PMC7423374 DOI: 10.1098/rstb.2019.0377] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/11/2020] [Indexed: 02/06/2023] Open
Abstract
Collective migration has become a paradigm for emergent behaviour in systems of moving and interacting individual units resulting in coherent motion. In biology, these units are cells or organisms. Collective cell migration is important in embryonic development, where it underlies tissue and organ formation, as well as pathological processes, such as cancer invasion and metastasis. In animal groups, collective movements may enhance individuals' decisions and facilitate navigation through complex environments and access to food resources. Mathematical models can extract unifying principles behind the diverse manifestations of collective migration. In biology, with a few exceptions, collective migration typically occurs at a 'mesoscopic scale' where the number of units ranges from only a few dozen to a few thousands, in contrast to the large systems treated by statistical mechanics. Recent developments in multi-scale analysis have allowed linkage of mesoscopic to micro- and macroscopic scales, and for different biological systems. The articles in this theme issue on 'Multi-scale analysis and modelling of collective migration' compile a range of mathematical modelling ideas and multi-scale methods for the analysis of collective migration. These approaches (i) uncover new unifying organization principles of collective behaviour, (ii) shed light on the transition from single to collective migration, and (iii) allow us to define similarities and differences of collective behaviour in groups of cells and organisms. As a common theme, self-organized collective migration is the result of ecological and evolutionary constraints both at the cell and organismic levels. Thereby, the rules governing physiological collective behaviours also underlie pathological processes, albeit with different upstream inputs and consequences for the group. This article is part of the theme issue 'Multi-scale analysis and modelling of collective migration in biological systems'.
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Affiliation(s)
- Andreas Deutsch
- Department of Innovative Methods of Computing, Center for Information Services and High Performance Computing, Technische Universität Dresden, Dresden, Germany
| | - Peter Friedl
- Department of Cell Biology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Centre, Nijmegen, The Netherlands
- Cancer Genomics Center, Utrecht, The Netherlands
- Department of Genitourinary Medicine, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Luigi Preziosi
- Department of Mathematical Sciences, Politecnico di Torino, Torino, Italy
| | - Guy Theraulaz
- Centre de Recherches sur la Cognition Animale, Centre de Biologie Intégrative, Université de Toulouse, CNRS, UPS, Toulouse, France
- Centre for Ecological Sciences, Indian Institute of Science, Bengaluru, India
- Institute for Advanced Study in Toulouse, Toulouse, France
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50
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Groneberg AH, Marques JC, Martins AL, Diez Del Corral R, de Polavieja GG, Orger MB. Early-Life Social Experience Shapes Social Avoidance Reactions in Larval Zebrafish. Curr Biol 2020; 30:4009-4021.e4. [PMID: 32888479 DOI: 10.1016/j.cub.2020.07.088] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Revised: 06/30/2020] [Accepted: 07/29/2020] [Indexed: 12/20/2022]
Abstract
Social experiences greatly define subsequent social behavior. Lack of such experiences, especially during critical phases of development, can severely impede the ability to behave adequately in social contexts. To date, it is not well characterized how early-life social isolation leads to social deficits and impacts development. In many model species, it is challenging to fully control social experiences, because they depend on parental care. Moreover, complex social behaviors involve multiple sensory modalities, contexts, and actions. Hence, when studying social isolation effects, it is important to parse apart social deficits from general developmental effects, such as abnormal motor learning. Here, we characterized how social experiences during early development of zebrafish larvae modulate their social behavior at 1 week of age, when social avoidance reactions can be measured as discrete swim events. We show that raising larvae in social isolation leads to enhanced social avoidance, in terms of the distance at which larvae react to one another and the strength of swim movement they use. Specifically, larvae raised in isolation use a high-acceleration escape swim, the short latency C-start, more frequently during social interactions. These behavioral differences are absent in non-social contexts. By ablating the lateral line and presenting the fish with local water vibrations, we show that lateral line inputs are both necessary and sufficient to drive enhanced social avoidance reactions. Taken together, our results show that social experience during development is a critical factor in shaping mechanosensory avoidance reactions in larval zebrafish.
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Affiliation(s)
- Antonia H Groneberg
- Champalimaud Research, Champalimaud Centre for the Unknown, 1400-038 Lisbon, Portugal
| | - João C Marques
- Champalimaud Research, Champalimaud Centre for the Unknown, 1400-038 Lisbon, Portugal
| | - A Lucas Martins
- Champalimaud Research, Champalimaud Centre for the Unknown, 1400-038 Lisbon, Portugal
| | - Ruth Diez Del Corral
- Champalimaud Research, Champalimaud Centre for the Unknown, 1400-038 Lisbon, Portugal
| | | | - Michael B Orger
- Champalimaud Research, Champalimaud Centre for the Unknown, 1400-038 Lisbon, Portugal.
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