1
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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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2
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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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3
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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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4
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Baier H, Scott EK. The Visual Systems of Zebrafish. Annu Rev Neurosci 2024; 47:255-276. [PMID: 38663429 DOI: 10.1146/annurev-neuro-111020-104854] [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] [Indexed: 08/09/2024]
Abstract
The zebrafish visual system has become a paradigmatic preparation for behavioral and systems neuroscience. Around 40 types of retinal ganglion cells (RGCs) serve as matched filters for stimulus features, including light, optic flow, prey, and objects on a collision course. RGCs distribute their signals via axon collaterals to 12 retinorecipient areas in forebrain and midbrain. The major visuomotor hub, the optic tectum, harbors nine RGC input layers that combine information on multiple features. The retinotopic map in the tectum is locally adapted to visual scene statistics and visual subfield-specific behavioral demands. Tectal projections to premotor centers are topographically organized according to behavioral commands. The known connectivity in more than 20 processing streams allows us to dissect the cellular basis of elementary perceptual and cognitive functions. Visually evoked responses, such as prey capture or loom avoidance, are controlled by dedicated multistation pathways that-at least in the larva-resemble labeled lines. This architecture serves the neuronal code's purpose of driving adaptive behavior.
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Affiliation(s)
- Herwig Baier
- Department of Genes-Circuits-Behavior, Max Planck Institute for Biological Intelligence, Martinsried, Germany;
| | - Ethan K Scott
- Department of Anatomy and Physiology, School of Biomedical Sciences, The University of Melbourne, Parkville, Victoria, Australia
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5
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Tatarsky RL, Akbari N, Wang K, Xu C, Bass AH. Label-free multiphoton imaging reveals volumetric shifts across development in sensory-related brain regions of a miniature transparent vertebrate. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.07.18.604134. [PMID: 39091824 PMCID: PMC11291088 DOI: 10.1101/2024.07.18.604134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/04/2024]
Abstract
Animals integrate information from different sensory modalities as they mature and perform increasingly complex behaviors. This may parallel differential investment in specific brain regions depending on the demands of changing sensory inputs. To investigate developmental changes in the volume of canonical sensory integration brain regions, we used third harmonic generation imaging for morphometric analysis of forebrain and midbrain regions from 5 to 90 days post fertilization (dpf) in Danionella dracula , a transparent, miniature teleost fish whose brain is optically accessible throughout its lifespan. Relative to whole brain volume, increased volume or investment in telencephalon, a higher order sensory integration center, and torus longitudinalis (TL), a midbrain visuomotor integration center, is relatively consistent from 5 to 30 dpf, until it increases at 60 dpf, followed by another increase at 90 dpf, as animals reach adulthood. In contrast, investment in midbrain optic tectum (TeO), a retinal-recipient target, progressively decreases from 30-90 dpf, whereas investment is relatively consistent across all stages for the midbrain torus semicircularis (TS), a secondary auditory and mechanosensory lateral line center, and the olfactory bulb (OB), a direct target of the olfactory epithelium. In sum, increased investment in higher order integration centers (telencephalon, TL) occurs as juveniles reach adulthood and exhibit more complex cognitive tasks, whereas investment in modality-dominant regions occurs in earlier stages (TeO) or is relatively consistent across development (TS, OB). Complete optical access throughout Danionella 's lifespan provides a unique opportunity to investigate how changing brain structure over development correlates with changes in connectivity, microcircuitry, or behavior.
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6
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Yu JH, Napoli JL, Lovett-Barron M. Understanding collective behavior through neurobiology. Curr Opin Neurobiol 2024; 86:102866. [PMID: 38852986 DOI: 10.1016/j.conb.2024.102866] [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: 10/04/2023] [Revised: 02/16/2024] [Accepted: 03/07/2024] [Indexed: 06/11/2024]
Abstract
A variety of organisms exhibit collective movement, including schooling fish and flocking birds, where coordinated behavior emerges from the interactions between group members. Despite the prevalence of collective movement in nature, little is known about the neural mechanisms producing each individual's behavior within the group. Here we discuss how a neurobiological approach can enrich our understanding of collective behavior by determining the mechanisms by which individuals interact. We provide examples of sensory systems for social communication during collective movement, highlight recent discoveries about neural systems for detecting the position and actions of social partners, and discuss opportunities for future research. Understanding the neurobiology of collective behavior can provide insight into how nervous systems function in a dynamic social world.
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Affiliation(s)
- Jo-Hsien Yu
- Department of Neurobiology, School of Biological Sciences, University of California, San Diego, La Jolla, CA, 92093, USA. https://twitter.com/anitajhyu
| | - Julia L Napoli
- Department of Neurobiology, School of Biological Sciences, University of California, San Diego, La Jolla, CA, 92093, USA. https://twitter.com/juliadoingneuro
| | - Matthew Lovett-Barron
- Department of Neurobiology, School of Biological Sciences, University of California, San Diego, La Jolla, CA, 92093, USA.
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7
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Sneddon LU, Schroeder P, Roque A, Finger-Baier K, Fleming A, Tinman S, Collet B. Pain management in zebrafish : Report from a FELASA Working Group. Lab Anim 2024; 58:261-276. [PMID: 38051824 PMCID: PMC11264547 DOI: 10.1177/00236772231198733] [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: 06/05/2023] [Accepted: 08/15/2023] [Indexed: 12/07/2023]
Abstract
Empirical evidence suggests fishes meet the criteria for experiencing pain beyond a reasonable doubt and zebrafish are being increasingly used in studies of pain and nociception. Zebrafish are adopted across a wide range of experimental fields and their use is growing particularly in biomedical studies. Many laboratory procedures in zebrafish involve tissue damage and this may give rise to pain. Therefore, this FELASA Working Group reviewed the evidence for pain in zebrafish, the indicators used to assess pain and the impact of a range of drugs with pain-relieving properties. We report that there are several behavioural indicators that can be used to determine pain, including reduced activity, space use and distance travelled. Pain-relieving drugs prevent these responses, and we highlight the dose and administration route. To minimise or avoid pain, several refinements are suggested for common laboratory procedures. Finally, practical suggestions are made for the management and alleviation of pain in laboratory zebrafish, including recommendations for analgesia. Pain management is an important refinement in experimental animal use and so our report has the potential to improve zebrafish welfare during and after invasive procedures in laboratories across the globe.
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Affiliation(s)
- Lynne U Sneddon
- Department of Biological and Environmental Sciences, University of Gothenburg, Sweden
| | - Paul Schroeder
- Red Kite Veterinary Consultants, 30 Upper High Street, Thame, Oxon, OX9 3EZ, UK
| | | | - Karin Finger-Baier
- Max Planck Institute of Neurobiology (now: Max Planck Institute for Biological Intelligence), Department Genes – Circuits – Behaviour, Martinsried, Germany
| | - Angeleen Fleming
- Department of Physiology, Development and Neuroscience, University of Cambridge, UK
| | - Simon Tinman
- The Mina & Everard Goodman Faculty of Life Sciences, Bar-Ilan University Ramat Gan, Israel
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8
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Jernigan CM, Freiwald WA, Sheehan MJ. Neural correlates of individual facial recognition in a social wasp. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.11.589095. [PMID: 38659842 PMCID: PMC11042187 DOI: 10.1101/2024.04.11.589095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/26/2024]
Abstract
Individual recognition is critical for social behavior across species. Whether recognition is mediated by circuits specialized for social information processing has been a matter of debate. Here we examine the neurobiological underpinning of individual visual facial recognition in Polistes fuscatus paper wasps. Front-facing images of conspecific wasps broadly increase activity across many brain regions relative to other stimuli. Notably, we identify a localized subpopulation of neurons in the protocerebrum which show specialized selectivity for front-facing wasp images, which we term wasp cells. These wasp cells encode information regarding the facial patterns, with ensemble activity correlating with facial identity. Wasp cells are strikingly analogous to face cells in primates, indicating that specialized circuits are likely an adaptive feature of neural architecture to support visual recognition.
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Affiliation(s)
- Christopher M. Jernigan
- Laboratory for Animal Social Evolution and Recognition, Department of Neurobiology and Behavior, Cornell University; Ithaca, NY, 14853, USA
| | - Winrich A. Freiwald
- Laboratory of Neural Systems, The Rockefeller University, New York, NY 10065, USA
| | - Michael J. Sheehan
- Laboratory for Animal Social Evolution and Recognition, Department of Neurobiology and Behavior, Cornell University; Ithaca, NY, 14853, USA
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9
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Tanimoto Y, Kakinuma H, Aoki R, Shiraki T, Higashijima SI, Okamoto H. Transgenic tools targeting the basal ganglia reveal both evolutionary conservation and specialization of neural circuits in zebrafish. Cell Rep 2024; 43:113916. [PMID: 38484735 DOI: 10.1016/j.celrep.2024.113916] [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: 10/11/2023] [Revised: 01/18/2024] [Accepted: 02/17/2024] [Indexed: 04/02/2024] Open
Abstract
The cortico-basal ganglia circuit mediates decision making. Here, we generated transgenic tools for adult zebrafish targeting specific subpopulations of the components of this circuit and utilized them to identify evolutionary homologs of the mammalian direct- and indirect-pathway striatal neurons, which respectively project to the homologs of the internal and external segment of the globus pallidus (dorsal entopeduncular nucleus [dEN] and lateral nucleus of the ventral telencephalic area [Vl]) as in mammals. Unlike in mammals, the Vl mainly projects to the dEN directly, not by way of the subthalamic nucleus. Further single-cell RNA sequencing analysis reveals two pallidal output pathways: a major shortcut pathway directly connecting the dEN with the pallium and the evolutionarily conserved closed loop by way of the thalamus. Our resources and circuit map provide the common basis for the functional study of the basal ganglia in a small and optically tractable zebrafish brain for the comprehensive mechanistic understanding of the cortico-basal ganglia circuit.
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Affiliation(s)
- Yuki Tanimoto
- Laboratory for Neural Circuit Dynamics of Decision-making, RIKEN Center for Brain Science, Saitama 351-0198, Japan
| | - Hisaya Kakinuma
- Laboratory for Neural Circuit Dynamics of Decision-making, RIKEN Center for Brain Science, Saitama 351-0198, Japan
| | - Ryo Aoki
- Laboratory for Neural Circuit Dynamics of Decision-making, RIKEN Center for Brain Science, Saitama 351-0198, Japan
| | - Toshiyuki Shiraki
- Research Resources Division, RIKEN Center for Brain Science, Saitama 351-0198, Japan
| | - Shin-Ichi Higashijima
- Exploratory Research Center on Life and Living Systems, Okazaki, Aichi 444-8787, Japan; National Institute for Basic Biology, Okazaki, Aichi 444-8787, Japan
| | - Hitoshi Okamoto
- Laboratory for Neural Circuit Dynamics of Decision-making, RIKEN Center for Brain Science, Saitama 351-0198, Japan; RIKEN CBS-Kao Collaboration Center, Saitama 351-0198, Japan.
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10
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Sun J, Noss S, Banerjee D, Das M, Girirajan S. Strategies for dissecting the complexity of neurodevelopmental disorders. Trends Genet 2024; 40:187-202. [PMID: 37949722 PMCID: PMC10872993 DOI: 10.1016/j.tig.2023.10.009] [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: 05/27/2023] [Revised: 09/20/2023] [Accepted: 10/16/2023] [Indexed: 11/12/2023]
Abstract
Neurodevelopmental disorders (NDDs) are associated with a wide range of clinical features, affecting multiple pathways involved in brain development and function. Recent advances in high-throughput sequencing have unveiled numerous genetic variants associated with NDDs, which further contribute to disease complexity and make it challenging to infer disease causation and underlying mechanisms. Herein, we review current strategies for dissecting the complexity of NDDs using model organisms, induced pluripotent stem cells, single-cell sequencing technologies, and massively parallel reporter assays. We further highlight single-cell CRISPR-based screening techniques that allow genomic investigation of cellular transcriptomes with high efficiency, accuracy, and throughput. Overall, we provide an integrated review of experimental approaches that can be applicable for investigating a broad range of complex disorders.
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Affiliation(s)
- Jiawan Sun
- Molecular, Cellular, and Integrative Biosciences Graduate Program, The Huck Institutes of Life Sciences, University Park, PA 16802, USA
| | - Serena Noss
- Molecular, Cellular, and Integrative Biosciences Graduate Program, The Huck Institutes of Life Sciences, University Park, PA 16802, USA
| | - Deepro Banerjee
- Bioinformatics and Genomics Graduate Program, The Huck Institutes of Life Sciences, University Park, PA 16802, USA
| | - Maitreya Das
- Molecular, Cellular, and Integrative Biosciences Graduate Program, The Huck Institutes of Life Sciences, University Park, PA 16802, USA
| | - Santhosh Girirajan
- Molecular, Cellular, and Integrative Biosciences Graduate Program, The Huck Institutes of Life Sciences, University Park, PA 16802, USA; Bioinformatics and Genomics Graduate Program, The Huck Institutes of Life Sciences, University Park, PA 16802, USA; Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA 16802, USA; Department of Anthropology, Pennsylvania State University, University Park, PA 16802, USA.
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11
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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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12
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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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13
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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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14
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Fujishiro K, Miyanishi H. Visual Perception of Density and Density-Dependent Growth in Medaka ( Oryzias latipes): A Suitable Model for Studying Density Effects in Fish. Zoolog Sci 2023; 40:404-413. [PMID: 37818889 DOI: 10.2108/zs230018] [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: 03/03/2023] [Accepted: 06/13/2023] [Indexed: 10/13/2023]
Abstract
High stocking densities have negative effects on fish. However, the mechanism mediating density perception and growth inhibition is still unknown. This study was conducted to confirm the occurrence of growth inhibition and evaluate changes in growth-related factors in fish reared under high-stocking-density conditions and to determine the role of vision in density perception of medaka. In the graduated-stocking experiment, growth inhibition was clearly observed in fish reared at higher densities, although environmental factors, such as water quality, dissolved oxygen, and feeding conditions, were the same in each experimental group. Differences in growth were observed between the 6-fish and 8-fish groups, indicating that medaka have a superior sense that allows them to accurately perceive the number of individuals in their surroundings. In the pseudo-high stocking experiment, the inner 2-L tank in both groups contained six fish; however, the outer 3-L tank in the pseudo group contained several fish, while that of the control group contained only water. Growth inhibition was observed among the fish in the inner tank of the pseudo group despite having similar spatial density with the control group. These findings suggest that vision is important for density perception. The gene expression of growth-related and metabolic-regulatory hormones decreased in the high-density group. Furthermore, neuropeptide Y expression increased, while pro-opiomelanocortin expression decreased in the high-density group. This study is the first to report that fish can visually perceive density and the resulting growth inhibition, and concluded that medaka is a suitable model for studying density effects and perception in fish.
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Affiliation(s)
- Kouyou Fujishiro
- Course of Marine Biology and Environmental Sciences, Graduate School of Agriculture, University of Miyazaki, Miyazaki 889-2192, Japan
| | - Hiroshi Miyanishi
- Department of Marine Biology and Environmental Sciences, Faculty of Agriculture, University of Miyazaki, Miyazaki 889-2192, Japan,
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15
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Légaré A, Lemieux M, Desrosiers P, De Koninck P. Zebrafish brain atlases: a collective effort for a tiny vertebrate brain. NEUROPHOTONICS 2023; 10:044409. [PMID: 37786400 PMCID: PMC10541682 DOI: 10.1117/1.nph.10.4.044409] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 09/03/2023] [Accepted: 09/13/2023] [Indexed: 10/04/2023]
Abstract
In the past two decades, digital brain atlases have emerged as essential tools for sharing and integrating complex neuroscience datasets. Concurrently, the larval zebrafish has become a prominent vertebrate model offering a strategic compromise for brain size, complexity, transparency, optogenetic access, and behavior. We provide a brief overview of digital atlases recently developed for the larval zebrafish brain, intersecting neuroanatomical information, gene expression patterns, and connectivity. These atlases are becoming pivotal by centralizing large datasets while supporting the generation of circuit hypotheses as functional measurements can be registered into an atlas' standard coordinate system to interrogate its structural database. As challenges persist in mapping neural circuits and incorporating functional measurements into zebrafish atlases, we emphasize the importance of collaborative efforts and standardized protocols to expand these resources to crack the complex codes of neuronal activity guiding behavior in this tiny vertebrate brain.
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Affiliation(s)
| | - Mado Lemieux
- CERVO Brain Research Center, Québec, Québec, Canada
| | - Patrick Desrosiers
- CERVO Brain Research Center, Québec, Québec, Canada
- Université Laval, Department of Physics, Engineering Physics and Optics, Québec, Québec, Canada
| | - Paul De Koninck
- CERVO Brain Research Center, Québec, Québec, Canada
- Université Laval, Department of Biochemistry, Microbiology and Bio-informatics, Québec, Québec, Canada
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16
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Kareklas K, Teles MC, Nunes AR, Oliveira RF. Social zebrafish: Danio rerio as an emerging model in social neuroendocrinology. J Neuroendocrinol 2023; 35:e13280. [PMID: 37165563 DOI: 10.1111/jne.13280] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 04/14/2023] [Accepted: 04/17/2023] [Indexed: 05/12/2023]
Abstract
The fitness benefits of social life depend on the ability of animals to affiliate with others and form groups, on dominance hierarchies within groups that determine resource distribution, and on cognitive capacities for recognition, learning and information transfer. The evolution of these phenotypes is coupled with that of neuroendocrine mechanisms, but the causal link between the two remains underexplored. Growing evidence from our research group and others demonstrates that the tools available in zebrafish, Danio rerio, can markedly facilitate progress in this field. Here, we review this evidence and provide a synthesis of the state-of-the-art in this model system. We discuss the involvement of generalized motivation and cognitive components, neuroplasticity and functional connectivity across social decision-making brain areas, and how these are modulated chiefly by the oxytocin-vasopressin neuroendocrine system, but also by reward-pathway monoamine signaling and the effects of sex-hormones and stress physiology.
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Affiliation(s)
| | - Magda C Teles
- Instituto Gulbenkian de Ciência, Oeiras, Portugal
- ISPA-Instituto Universitário, Lisbon, Portugal
| | | | - Rui F Oliveira
- Instituto Gulbenkian de Ciência, Oeiras, Portugal
- ISPA-Instituto Universitário, Lisbon, Portugal
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17
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Ricciardi F, Márquez C. The neural circuit that makes maternal mice respond to pups' cries. Nature 2023; 621:693-694. [PMID: 37735608 DOI: 10.1038/d41586-023-02545-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/23/2023]
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18
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Ji P, Wang Y, Peron T, Li C, Nagler J, Du J. Structure and function in artificial, zebrafish and human neural networks. Phys Life Rev 2023; 45:74-111. [PMID: 37182376 DOI: 10.1016/j.plrev.2023.04.004] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 04/20/2023] [Indexed: 05/16/2023]
Abstract
Network science provides a set of tools for the characterization of the structure and functional behavior of complex systems. Yet a major problem is to quantify how the structural domain is related to the dynamical one. In other words, how the diversity of dynamical states of a system can be predicted from the static network structure? Or the reverse problem: starting from a set of signals derived from experimental recordings, how can one discover the network connections or the causal relations behind the observed dynamics? Despite the advances achieved over the last two decades, many challenges remain concerning the study of the structure-dynamics interplay of complex systems. In neuroscience, progress is typically constrained by the low spatio-temporal resolution of experiments and by the lack of a universal inferring framework for empirical systems. To address these issues, applications of network science and artificial intelligence to neural data have been rapidly growing. In this article, we review important recent applications of methods from those fields to the study of the interplay between structure and functional dynamics of human and zebrafish brain. We cover the selection of topological features for the characterization of brain networks, inference of functional connections, dynamical modeling, and close with applications to both the human and zebrafish brain. This review is intended to neuroscientists who want to become acquainted with techniques from network science, as well as to researchers from the latter field who are interested in exploring novel application scenarios in neuroscience.
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Affiliation(s)
- Peng Ji
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai 200433, China; Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Ministry of Education, Shanghai 200433, China; MOE Frontiers Center for Brain Science, Fudan University, Shanghai 200433, China
| | - Yufan Wang
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, 320 Yue-Yang Road, Shanghai 200031, China
| | - Thomas Peron
- Institute of Mathematics and Computer Science, University of São Paulo, São Carlos 13566-590, São Paulo, Brazil.
| | - Chunhe Li
- Shanghai Center for Mathematical Sciences and School of Mathematical Sciences, Fudan University, Shanghai 200433, China; Institute of Science and Technology for Brain-Inspired Intelligence and MOE Frontiers Center for Brain Science, Fudan University, Shanghai 200433, China.
| | - Jan Nagler
- Deep Dynamics, Frankfurt School of Finance & Management, Frankfurt, Germany; Centre for Human and Machine Intelligence, Frankfurt School of Finance & Management, Frankfurt, Germany
| | - Jiulin Du
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, 320 Yue-Yang Road, Shanghai 200031, China.
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19
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Hasani H, Sun J, Zhu SI, Rong Q, Willomitzer F, Amor R, McConnell G, Cossairt O, Goodhill GJ. Whole-brain imaging of freely-moving zebrafish. Front Neurosci 2023; 17:1127574. [PMID: 37139528 PMCID: PMC10150962 DOI: 10.3389/fnins.2023.1127574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 03/28/2023] [Indexed: 05/05/2023] Open
Abstract
One of the holy grails of neuroscience is to record the activity of every neuron in the brain while an animal moves freely and performs complex behavioral tasks. While important steps forward have been taken recently in large-scale neural recording in rodent models, single neuron resolution across the entire mammalian brain remains elusive. In contrast the larval zebrafish offers great promise in this regard. Zebrafish are a vertebrate model with substantial homology to the mammalian brain, but their transparency allows whole-brain recordings of genetically-encoded fluorescent indicators at single-neuron resolution using optical microscopy techniques. Furthermore zebrafish begin to show a complex repertoire of natural behavior from an early age, including hunting small, fast-moving prey using visual cues. Until recently work to address the neural bases of these behaviors mostly relied on assays where the fish was immobilized under the microscope objective, and stimuli such as prey were presented virtually. However significant progress has recently been made in developing brain imaging techniques for zebrafish which are not immobilized. Here we discuss recent advances, focusing particularly on techniques based on light-field microscopy. We also draw attention to several important outstanding issues which remain to be addressed to increase the ecological validity of the results obtained.
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Affiliation(s)
- Hamid Hasani
- Department of Electrical and Computer Engineering, Northwestern University, Evanston, IL, United States
| | - Jipeng Sun
- Department of Computer Science, Northwestern University, Evanston, IL, United States
| | - Shuyu I. Zhu
- Departments of Developmental Biology and Neuroscience, Washington University in St. Louis, St. Louis, MO, United States
| | - Qiangzhou Rong
- Departments of Developmental Biology and Neuroscience, Washington University in St. Louis, St. Louis, MO, United States
| | - Florian Willomitzer
- Wyant College of Optical Sciences, University of Arizona, Tucson, AZ, United States
| | - Rumelo Amor
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
| | - Gail McConnell
- Centre for Biophotonics, Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow, United Kingdom
| | - Oliver Cossairt
- Department of Computer Science, Northwestern University, Evanston, IL, United States
| | - Geoffrey J. Goodhill
- Departments of Developmental Biology and Neuroscience, Washington University in St. Louis, St. Louis, MO, United States
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20
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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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21
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Fahimipour AK, Gil MA, Celis MR, Hein GF, Martin BT, Hein AM. Wild animals suppress the spread of socially transmitted misinformation. Proc Natl Acad Sci U S A 2023; 120:e2215428120. [PMID: 36976767 PMCID: PMC10083541 DOI: 10.1073/pnas.2215428120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Accepted: 02/07/2023] [Indexed: 03/29/2023] Open
Abstract
Understanding the mechanisms by which information and misinformation spread through groups of individual actors is essential to the prediction of phenomena ranging from coordinated group behaviors to misinformation epidemics. Transmission of information through groups depends on the rules that individuals use to transform the perceived actions of others into their own behaviors. Because it is often not possible to directly infer decision-making strategies in situ, most studies of behavioral spread assume that individuals make decisions by pooling or averaging the actions or behavioral states of neighbors. However, whether individuals may instead adopt more sophisticated strategies that exploit socially transmitted information, while remaining robust to misinformation, is unknown. Here, we study the relationship between individual decision-making and misinformation spread in groups of wild coral reef fish, where misinformation occurs in the form of false alarms that can spread contagiously through groups. Using automated visual field reconstruction of wild animals, we infer the precise sequences of socially transmitted visual stimuli perceived by individuals during decision-making. Our analysis reveals a feature of decision-making essential for controlling misinformation spread: dynamic adjustments in sensitivity to socially transmitted cues. This form of dynamic gain control can be achieved by a simple and biologically widespread decision-making circuit, and it renders individual behavior robust to natural fluctuations in misinformation exposure.
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Affiliation(s)
- Ashkaan K. Fahimipour
- Department of Biological Sciences, Florida Atlantic University, Boca Raton, FL33431
- Institute of Marine Sciences, University of California Santa Cruz, Santa Cruz, CA95060
| | - Michael A. Gil
- Department of Ecology & Evolutionary Biology, University of Colorado Boulder, Boulder, CO80309
| | - Maria Rosa Celis
- Institute of Marine Sciences, University of California Santa Cruz, Santa Cruz, CA95060
| | | | - Benjamin T. Martin
- Institute for Biodiversity & Ecosystem Dynamics, University of Amsterdam, 1090GE Amsterdam, The Netherlands
| | - Andrew M. Hein
- Department of Computational Biology, Cornell University, Ithaca, NY14850
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22
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Weinschutz Mendes H, Neelakantan U, Liu Y, Fitzpatrick SE, Chen T, Wu W, Pruitt A, Jin DS, Jamadagni P, Carlson M, Lacadie CM, Enriquez KD, Li N, Zhao D, Ijaz S, Sakai C, Szi C, Rooney B, Ghosh M, Nwabudike I, Gorodezky A, Chowdhury S, Zaheer M, McLaughlin S, Fernandez JM, Wu J, Eilbott JA, Vander Wyk B, Rihel J, Papademetris X, Wang Z, Hoffman EJ. High-throughput functional analysis of autism genes in zebrafish identifies convergence in dopaminergic and neuroimmune pathways. Cell Rep 2023; 42:112243. [PMID: 36933215 PMCID: PMC10277173 DOI: 10.1016/j.celrep.2023.112243] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Revised: 11/15/2022] [Accepted: 02/23/2023] [Indexed: 03/19/2023] Open
Abstract
Advancing from gene discovery in autism spectrum disorders (ASDs) to the identification of biologically relevant mechanisms remains a central challenge. Here, we perform parallel in vivo functional analysis of 10 ASD genes at the behavioral, structural, and circuit levels in zebrafish mutants, revealing both unique and overlapping effects of gene loss of function. Whole-brain mapping identifies the forebrain and cerebellum as the most significant contributors to brain size differences, while regions involved in sensory-motor control, particularly dopaminergic regions, are associated with altered baseline brain activity. Finally, we show a global increase in microglia resulting from ASD gene loss of function in select mutants, implicating neuroimmune dysfunction as a key pathway relevant to ASD biology.
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Affiliation(s)
| | - Uma Neelakantan
- Child Study Center, Yale School of Medicine, New Haven, CT 06510, USA
| | - Yunqing Liu
- Department of Biostatistics, Yale School of Public Health, New Haven, CT 06510, USA
| | - Sarah E Fitzpatrick
- Child Study Center, Yale School of Medicine, New Haven, CT 06510, USA; Department of Neuroscience, Yale School of Medicine, New Haven, CT 06510, USA; Interdepartmental Neuroscience Program, Yale University, New Haven, CT 06510, USA; MD-PhD Program, Yale School of Medicine, New Haven, CT 06510, USA
| | - Tianying Chen
- Child Study Center, Yale School of Medicine, New Haven, CT 06510, USA
| | - Weimiao Wu
- Department of Biostatistics, Yale School of Public Health, New Haven, CT 06510, USA
| | - April Pruitt
- Child Study Center, Yale School of Medicine, New Haven, CT 06510, USA; Department of Neuroscience, Yale School of Medicine, New Haven, CT 06510, USA; Interdepartmental Neuroscience Program, Yale University, New Haven, CT 06510, USA
| | - David S Jin
- Child Study Center, Yale School of Medicine, New Haven, CT 06510, USA; Department of Neuroscience, Yale School of Medicine, New Haven, CT 06510, USA; Interdepartmental Neuroscience Program, Yale University, New Haven, CT 06510, USA; Department of Neurology, Yale School of Medicine, New Haven, CT 06510, USA
| | | | - Marina Carlson
- Child Study Center, Yale School of Medicine, New Haven, CT 06510, USA; Department of Neuroscience, Yale School of Medicine, New Haven, CT 06510, USA; Interdepartmental Neuroscience Program, Yale University, New Haven, CT 06510, USA
| | - Cheryl M Lacadie
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06510, USA
| | | | - Ningshan Li
- Department of Biostatistics, Yale School of Public Health, New Haven, CT 06510, USA; SJTU-Yale Joint Center for Biostatistics and Data Science, Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Dejian Zhao
- Department of Genetics, Yale Center for Genome Analysis, Yale School of Medicine, New Haven, CT 06510, USA
| | - Sundas Ijaz
- Child Study Center, Yale School of Medicine, New Haven, CT 06510, USA
| | - Catalina Sakai
- Child Study Center, Yale School of Medicine, New Haven, CT 06510, USA
| | - Christina Szi
- Child Study Center, Yale School of Medicine, New Haven, CT 06510, USA
| | - Brendan Rooney
- Child Study Center, Yale School of Medicine, New Haven, CT 06510, USA
| | - Marcus Ghosh
- Department of Cell and Developmental Biology, University College London, Gower Street, London WC1E 6BT, UK
| | - Ijeoma Nwabudike
- Child Study Center, Yale School of Medicine, New Haven, CT 06510, USA; Interdepartmental Neuroscience Program, Yale University, New Haven, CT 06510, USA; MD-PhD Program, Yale School of Medicine, New Haven, CT 06510, USA; Department of Psychiatry, Yale School of Medicine, New Haven, CT 06510, USA
| | - Andrea Gorodezky
- Child Study Center, Yale School of Medicine, New Haven, CT 06510, USA
| | - Sumedha Chowdhury
- Child Study Center, Yale School of Medicine, New Haven, CT 06510, USA
| | - Meeraal Zaheer
- Child Study Center, Yale School of Medicine, New Haven, CT 06510, USA
| | - Sarah McLaughlin
- Child Study Center, Yale School of Medicine, New Haven, CT 06510, USA
| | | | - Jia Wu
- Child Study Center, Yale School of Medicine, New Haven, CT 06510, USA
| | - Jeffrey A Eilbott
- Child Study Center, Yale School of Medicine, New Haven, CT 06510, USA
| | - Brent Vander Wyk
- Department of Internal Medicine, Section of Geriatrics, Yale School of Medicine, New Haven, CT 06510, USA
| | - Jason Rihel
- Department of Cell and Developmental Biology, University College London, Gower Street, London WC1E 6BT, UK
| | - Xenophon Papademetris
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06510, USA; Department of Biomedical Engineering, Yale University, New Haven, CT 06510, USA
| | - Zuoheng Wang
- Department of Biostatistics, Yale School of Public Health, New Haven, CT 06510, USA
| | - Ellen J Hoffman
- Child Study Center, Yale School of Medicine, New Haven, CT 06510, USA; Department of Neuroscience, Yale School of Medicine, New Haven, CT 06510, USA.
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23
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Shainer I, Kuehn E, Laurell E, Al Kassar M, Mokayes N, Sherman S, Larsch J, Kunst M, Baier H. A single-cell resolution gene expression atlas of the larval zebrafish brain. SCIENCE ADVANCES 2023; 9:eade9909. [PMID: 36812331 PMCID: PMC9946346 DOI: 10.1126/sciadv.ade9909] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Accepted: 12/22/2022] [Indexed: 06/18/2023]
Abstract
The advent of multimodal brain atlases promises to accelerate progress in neuroscience by allowing in silico queries of neuron morphology, connectivity, and gene expression. We used multiplexed fluorescent in situ RNA hybridization chain reaction (HCR) technology to generate expression maps across the larval zebrafish brain for a growing set of marker genes. The data were registered to the Max Planck Zebrafish Brain (mapzebrain) atlas, thus allowing covisualization of gene expression, single-neuron tracings, and expertly curated anatomical segmentations. Using post hoc HCR labeling of the immediate early gene cfos, we mapped responses to prey stimuli and food ingestion across the brain of freely swimming larvae. This unbiased approach revealed, in addition to previously described visual and motor areas, a cluster of neurons in the secondary gustatory nucleus, which express the marker calb2a, as well as a specific neuropeptide Y receptor, and project to the hypothalamus. This discovery exemplifies the power of this new atlas resource for zebrafish neurobiology.
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24
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Venuto A, Thibodeau-Beganny S, Trapani JG, Erickson T. A sensation for inflation: initial swim bladder inflation in larval zebrafish is mediated by the mechanosensory lateral line. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.01.12.523756. [PMID: 36712117 PMCID: PMC9882242 DOI: 10.1101/2023.01.12.523756] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
Larval zebrafish achieve neutral buoyancy by swimming up to the surface and taking in air through their mouths to inflate their swim bladders. We define this behavior as 'surfacing'. Little is known about the sensory basis for this underappreciated behavior of larval fish. A strong candidate is the mechanosensory lateral line, a hair cell-based sensory system that detects hydrodynamic information from sources like water currents, predators, prey, and surface waves. However, a role for the lateral line in mediating initial inflation of the swim bladder has not been reported. To explore the connection between the lateral line and surfacing, we utilized a genetic mutant (lhfpl5b-/-) that renders the zebrafish lateral line insensitive to mechanical stimuli. We observe that approximately half of these lateral line mutants over-inflate their swim bladders during initial inflation and become positively buoyant. Thus, we hypothesize that larval zebrafish use their lateral line to moderate interactions with the air-water interface during surfacing to regulate swim bladder inflation. To test the hypothesis that lateral line defects are responsible for swim bladder over-inflation, we show exogenous air is required for the hyperinflation phenotype and transgenic rescue of hair cell function restores normal inflation. We also find that chemical ablation of anterior lateral line hair cells in wild type larvae causes hyperinflation. Furthermore, we show that manipulation of lateral line sensory information results in abnormal inflation. Finally, we report spatial and temporal differences in the surfacing behavior between wild type and lateral line mutant larvae. In summary, we propose a novel sensory basis for achieving neutral buoyancy where larval zebrafish use their lateral line to sense the air-water interface and regulate initial swim bladder inflation.
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Affiliation(s)
- Alexandra Venuto
- Department of Biology, East Carolina University, Greenville, NC, USA
| | | | - Josef G. Trapani
- Department of Biology and Neuroscience Program, Amherst College, Amherst, MA, USA
| | - Timothy Erickson
- Department of Biology, University of New Brunswick, Fredericton, NB, Canada
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25
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Bleichman I, Yadav P, Ayali A. Visual processing and collective motion-related decision-making in desert locusts. Proc Biol Sci 2023; 290:20221862. [PMID: 36651041 PMCID: PMC9845972 DOI: 10.1098/rspb.2022.1862] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
Collectively moving groups of animals rely on the decision-making of locally interacting individuals in order to maintain swarm cohesion. However, the complex and noisy visual environment poses a major challenge to the extraction and processing of relevant information. We addressed this challenge by studying swarming-related decision-making in desert locust last-instar nymphs. Controlled visual stimuli, in the form of random dot kinematograms, were presented to tethered locust nymphs in a trackball set-up, while monitoring movement trajectory and walking parameters. In a complementary set of experiments, the neurophysiological basis of the observed behavioural responses was explored. Our results suggest that locusts use filtering and discrimination upon encountering multiple stimuli simultaneously. Specifically, we show that locusts are sensitive to differences in speed at the individual conspecific level, and to movement coherence at the group level, and may use these to filter out non-relevant stimuli. The locusts also discriminate and assign different weights to different stimuli, with an observed interactive effect of stimulus size, relative abundance and motion direction. Our findings provide insights into the cognitive abilities of locusts in the domain of decision-making and visual-based collective motion, and support locusts as a model for investigating sensory-motor integration and motion-related decision-making in the intricate swarm environment.
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Affiliation(s)
| | - Pratibha Yadav
- School of Zoology, Tel Aviv University, 6997801 Israel,Sagol School of Neuroscience, Tel Aviv University, 6997801 Israel
| | - Amir Ayali
- School of Zoology, Tel Aviv University, 6997801 Israel,Sagol School of Neuroscience, Tel Aviv University, 6997801 Israel
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26
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Lima SQ. Social behavior: Closing the gap for close encounters. Curr Biol 2022; 32:R1279-R1281. [PMID: 36413973 DOI: 10.1016/j.cub.2022.10.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Social touch can launch a cascade of emotions with enormous impact on the development and maintenance of emotional, cognitive and social functioning. A recent study identifies a novel pathway that facilitates physical contact via its direct impact on brain circuits controlling social behavior.
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Affiliation(s)
- Susana Q Lima
- Champalimaud Neuroscience Programme, Champalimaud Centre for the Unknown, Av. de Brasilia, 1400-038 Lisbon, Portugal.
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27
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A thalamo-preoptic pathway promotes social grooming in rodents. Curr Biol 2022; 32:4593-4606.e8. [PMID: 36113471 DOI: 10.1016/j.cub.2022.08.062] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Revised: 08/17/2022] [Accepted: 08/19/2022] [Indexed: 01/24/2023]
Abstract
Social touch is an essential component of communication. Little is known about the underlying pathways and mechanisms. Here, we discovered a novel neuronal pathway from the posterior intralaminar thalamic nucleus (PIL) to the medial preoptic area (MPOA) involved in the control of social grooming. We found that the neurons in the PIL and MPOA were naturally activated by physical contact between female rats and also by the chemogenetic stimulation of PIL neurons. The activity-dependent tagging of PIL neurons was performed in rats experiencing physical social contact. The chemogenetic activation of these neurons increased social grooming between familiar rats, as did the selective activation of the PIL-MPOA pathway. Neurons projecting from the PIL to the MPOA express the neuropeptide parathyroid hormone 2 (PTH2), and the central infusion of its receptor antagonist diminished social grooming. Finally, we showed a similarity in the anatomical organization of the PIL and the distribution of the PTH2 receptor in the MPOA between the rat and human brain. We propose that the discovered neuronal pathway facilitates physical contact with conspecifics.
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