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Menzies JAC, Maia Chagas A, Baden T, Alonso CR. A microRNA that controls the emergence of embryonic movement. eLife 2024; 13:RP95209. [PMID: 38869942 PMCID: PMC11175612 DOI: 10.7554/elife.95209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/14/2024] Open
Abstract
Movement is a key feature of animal systems, yet its embryonic origins are not fully understood. Here, we investigate the genetic basis underlying the embryonic onset of movement in Drosophila focusing on the role played by small non-coding RNAs (microRNAs, miRNAs). To this end, we first develop a quantitative behavioural pipeline capable of tracking embryonic movement in large populations of fly embryos, and using this system, discover that the Drosophila miRNA miR-2b-1 plays a role in the emergence of movement. Through the combination of spectral analysis of embryonic motor patterns, cell sorting and RNA in situs, genetic reconstitution tests, and neural optical imaging we define that miR-2b-1 influences the emergence of embryonic movement by exerting actions in the developing nervous system. Furthermore, through the combination of bioinformatics coupled to genetic manipulation of miRNA expression and phenocopy tests we identify a previously uncharacterised (but evolutionarily conserved) chloride channel encoding gene - which we term Movement Modulator (Motor) - as a genetic target that mechanistically links miR-2b-1 to the onset of movement. Cell-specific genetic reconstitution of miR-2b-1 expression in a null miRNA mutant background, followed by behavioural assays and target gene analyses, suggest that miR-2b-1 affects the emergence of movement through effects in sensory elements of the embryonic circuitry, rather than in the motor domain. Our work thus reports the first miRNA system capable of regulating embryonic movement, suggesting that other miRNAs are likely to play a role in this key developmental process in Drosophila as well as in other species.
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Affiliation(s)
- Jonathan AC Menzies
- Department of Neuroscience, Sussex Neuroscience, School of Life Sciences, University of SussexBrightonUnited Kingdom
| | - André Maia Chagas
- Department of Neuroscience, Sussex Neuroscience, School of Life Sciences, University of SussexBrightonUnited Kingdom
| | - Tom Baden
- Department of Neuroscience, Sussex Neuroscience, School of Life Sciences, University of SussexBrightonUnited Kingdom
| | - Claudio R Alonso
- Department of Neuroscience, Sussex Neuroscience, School of Life Sciences, University of SussexBrightonUnited Kingdom
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Chellapurath M, Khandelwal PC, Schulz AK. Bioinspired robots can foster nature conservation. Front Robot AI 2023; 10:1145798. [PMID: 37920863 PMCID: PMC10619165 DOI: 10.3389/frobt.2023.1145798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 09/25/2023] [Indexed: 11/04/2023] Open
Abstract
We live in a time of unprecedented scientific and human progress while being increasingly aware of its negative impacts on our planet's health. Aerial, terrestrial, and aquatic ecosystems have significantly declined putting us on course to a sixth mass extinction event. Nonetheless, the advances made in science, engineering, and technology have given us the opportunity to reverse some of our ecosystem damage and preserve them through conservation efforts around the world. However, current conservation efforts are primarily human led with assistance from conventional robotic systems which limit their scope and effectiveness, along with negatively impacting the surroundings. In this perspective, we present the field of bioinspired robotics to develop versatile agents for future conservation efforts that can operate in the natural environment while minimizing the disturbance/impact to its inhabitants and the environment's natural state. We provide an operational and environmental framework that should be considered while developing bioinspired robots for conservation. These considerations go beyond addressing the challenges of human-led conservation efforts and leverage the advancements in the field of materials, intelligence, and energy harvesting, to make bioinspired robots move and sense like animals. In doing so, it makes bioinspired robots an attractive, non-invasive, sustainable, and effective conservation tool for exploration, data collection, intervention, and maintenance tasks. Finally, we discuss the development of bioinspired robots in the context of collaboration, practicality, and applicability that would ensure their further development and widespread use to protect and preserve our natural world.
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Affiliation(s)
- Mrudul Chellapurath
- Max Planck Institute for Intelligent Systems, Stuttgart, Germany
- KTH Royal Institute of Technology, Stockholm, Sweden
| | - Pranav C. Khandelwal
- Max Planck Institute for Intelligent Systems, Stuttgart, Germany
- Institute of Flight Mechanics and Controls, University of Stuttgart, Stuttgart, Germany
| | - Andrew K. Schulz
- Max Planck Institute for Intelligent Systems, Stuttgart, Germany
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Webster-Wood VA, Guix M, Xu NW, Behkam B, Sato H, Sarkar D, Sanchez S, Shimizu M, Parker KK. Biohybrid robots: recent progress, challenges, and perspectives. BIOINSPIRATION & BIOMIMETICS 2022; 18:015001. [PMID: 36265472 DOI: 10.1088/1748-3190/ac9c3b] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Accepted: 10/20/2022] [Indexed: 06/16/2023]
Abstract
The past ten years have seen the rapid expansion of the field of biohybrid robotics. By combining engineered, synthetic components with living biological materials, new robotics solutions have been developed that harness the adaptability of living muscles, the sensitivity of living sensory cells, and even the computational abilities of living neurons. Biohybrid robotics has taken the popular and scientific media by storm with advances in the field, moving biohybrid robotics out of science fiction and into real science and engineering. So how did we get here, and where should the field of biohybrid robotics go next? In this perspective, we first provide the historical context of crucial subareas of biohybrid robotics by reviewing the past 10+ years of advances in microorganism-bots and sperm-bots, cyborgs, and tissue-based robots. We then present critical challenges facing the field and provide our perspectives on the vital future steps toward creating autonomous living machines.
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Affiliation(s)
- Victoria A Webster-Wood
- Mechanical Engineering, Biomedical Engineering (by courtesy), McGowan Institute of Regenerative Medicine, Carnegie Mellon University, Pittsburgh, PA 15116, United States of America
| | - Maria Guix
- Institute for Bioengineering of Catalonia (IBEC), Barcelona Institute of Science and Technology (BIST), Baldiri-Reixac 10-12, 08028 Barcelona, Spain
- Departament de Ciència dels Materials i Química Física, Institut de Química Teòrica i Computacional Barcelona, Universitat de Barcelona, 08028 Barcelona, Spain
| | - Nicole W Xu
- Laboratories for Computational Physics and Fluid Dynamics, U.S. Naval Research Laboratory, Code 6041, Washington, DC, United States of America
| | - Bahareh Behkam
- Department of Mechanical Engineering, Institute for Critical Technology and Applied Science, Blacksburg, VA 24061, United States of America
| | - Hirotaka Sato
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, 65 Nanyang Drive, Singapore, 637460, Singapore
| | - Deblina Sarkar
- MIT Media Lab, Massachusetts Institute of Technology, Cambridge, MA 02139, United States of America
| | - Samuel Sanchez
- Institute for Bioengineering of Catalonia (IBEC), Barcelona Institute of Science and Technology (BIST), Baldiri-Reixac 10-12, 08028 Barcelona, Spain
- Catalan Institute for Research and Advanced Studies (ICREA), Avda. Lluis Companys 23, 08010 Barcelona, Spain
| | - Masahiro Shimizu
- Department of Systems Innovation, Graduate School of Engineering Science, Osaka University, 1-3 Machikaneyama-machi, Toyonaka, Osaka, Japan
| | - Kevin Kit Parker
- Disease Biophysics Group, Wyss Institute for Biologically Inspired Engineering and School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, United States of America
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