A microRNA that controls the emergence of embryonic movement
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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 Mo vement Modula tor ( 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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Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764 · see citing works
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Research works printed but not linked: 56
- Ackerman, 2021, Astrocytes close a motor circuit critical period, Nature, 592, 414, 10.1038/s41586-021-03441-2 · DOI
- Alonso, 2012, A complex “mRNA degradation code” controls gene expression during animal development, Trends in Genetics, 28, 78, 10.1016/j.tig.2011.10.005 · DOI
- Baines, 2001, Altered electrical properties in Drosophila neurons developing without synaptic transmission, The Journal of Neuroscience, 21, 1523, 10.1523/JNEUROSCI.21-05-01523.2001 · DOI
- Baines, 2021, Neural development: The role of spontaneous activity, Current Biology, 31, R1513, 10.1016/j.cub.2021.10.026 · DOI
- Balcells, 2011, Specific and sensitive quantitative RT-PCR of miRNAs with DNA primers, BMC Biotechnology, 11, 10.1186/1472-6750-11-70 · DOI
- Bartel, 2018, Metazoan MicroRNAs, Cell, 173, 20, 10.1016/j.cell.2018.03.006 · DOI · Paper page
- Bate, 1993, The Development of Drosophila Melanogaster
- Bertolazzi, 2020, An improvement of ComiR algorithm for microRNA target prediction by exploiting coding region sequences of mRNAs, BMC Bioinformatics, 21, 10.1186/s12859-020-3519-5 · DOI
- Betel, 2010, Comprehensive modeling of microRNA targets predicts functional non-conserved and non-canonical sites, Genome Biology, 11, 10.1186/gb-2010-11-8-r90 · DOI · Paper page
- Biewener, 2022, Stability and manoeuvrability in animal movement: lessons from biology, modelling and robotics, Proceedings. Biological Sciences, 289, 10.1098/rspb.2021.2492 · DOI
- Busk, 2014, A tool for design of primers for microRNA-specific quantitative RT-qPCR, BMC Bioinformatics, 15, 10.1186/1471-2105-15-29 · DOI
- Caldwell, 2003, Dynamic analysis of larval locomotion in Drosophila chordotonal organ mutants, PNAS, 100, 16053, 10.1073/pnas.2535546100 · DOI
- Carreira-Rosario, 2021, Mechanosensory input during circuit formation shapes Drosophila motor behavior through patterned spontaneous network activity, Current Biology, 31, 5341, 10.1016/j.cub.2021.08.022 · DOI
- Clark, 2018, Neural circuits driving larval locomotion in Drosophila, Neural Development, 13, 10.1186/s13064-018-0103-z · DOI
- Coronnello, 2013, ComiR: Combinatorial microRNA target prediction tool, Nucleic Acids Research, 41, W159, 10.1093/nar/gkt379 · DOI
- Crisp, 2008, The development of motor coordination in Drosophila embryos, Development, 135, 3707, 10.1242/dev.026773 · DOI
- Crisp, 2011, Endogenous patterns of activity are required for the maturation of a motor network, The Journal of Neuroscience, 31, 10445, 10.1523/JNEUROSCI.0346-11.2011 · DOI
- Fricke, 2014, MicroRNAs influence reproductive responses by females to male sex peptide in Drosophila melanogaster, Genetics, 198, 1603, 10.1534/genetics.114.167320 · DOI
- Giachello, 2015, Inappropriate neural activity during a sensitive period in embryogenesis results in persistent seizure-like behavior, Current Biology, 25, 2964, 10.1016/j.cub.2015.09.040 · DOI
- Hamburger, 1963, Some aspects of the embryology of behavior, The Quarterly Review of Biology, 38, 342, 10.1086/403941 · DOI
- Hamburger, 1963, Observations and experiments on spontaneous rhythmical behavior in the chick embryo, Developmental Biology, 6, 533, 10.1016/0012-1606(63)90140-4 · DOI
- Hamburger, 1965, Periodic motility of normal and spinal chick embryos between 8 and 17 days of incubation, The Journal of Experimental Zoology, 159, 1, 10.1002/jez.1401590102 · DOI
- Hassinan, 2024, Dimensionality of locomotor behaviors in developing C. elegans, PLOS Computational Biology, 20, 10.1371/journal.pcbi.1011906 · DOI
- Heckscher, 2012, Characterization of Drosophila larval crawling at the level of organism, segment, and somatic body wall musculature, The Journal of Neuroscience, 32, 12460, 10.1523/JNEUROSCI.0222-12.2012 · DOI
- Holm, 2022, The evolutionarily conserved miRNA-137 targets the neuropeptide hypocretin/orexin and modulates the wake to sleep ratio, PNAS, 119, 10.1073/pnas.2112225119 · DOI
- Hong, 2009, Immunopurification of Ago1 miRNPs selects for a distinct class of microRNA targets, PNAS, 106, 15085, 10.1073/pnas.0908149106 · DOI
- Huerta-Cepas, 2014, PhylomeDB v4: zooming into the plurality of evolutionary histories of a genome, Nucleic Acids Research, 42, D897, 10.1093/nar/gkt1177 · DOI · Paper page
- Hughes, 2007, A sensory feedback circuit coordinates muscle activity in Drosophila, Molecular and Cellular Neurosciences, 35, 383, 10.1016/j.mcn.2007.04.001 · DOI
- Issa, 2019, A single MicroRNA-Hox gene module controls equivalent movements in biomechanically distinct forms of Drosophila, Current Biology, 29, 2665, 10.1016/j.cub.2019.06.082 · DOI
- Jones, 1994, A model recognition approach to the prediction of all-helical membrane protein structure and topology, Biochemistry, 33, 3038, 10.1021/bi00176a037 · DOI
- Kadener, 2009, A role for microRNAs in the Drosophila circadian clock, Genes & Development, 23, 2179, 10.1101/gad.1819509 · DOI
- Kertesz, 2007, The role of site accessibility in microRNA target recognition, Nature Genetics, 39, 1278, 10.1038/ng2135 · DOI · Paper page
- Klann, 2021, MicroRNA-dependent control of sensory neuron function regulates posture behavior in Drosophila, The Journal of Neuroscience, 41, 8297, 10.1523/JNEUROSCI.0081-21.2021 · DOI
- Kwon, 2010, Fine thermotactic discrimination between the optimal and slightly cooler temperatures via a TRPV channel in chordotonal neurons, The Journal of Neuroscience, 30, 10465, 10.1523/JNEUROSCI.1631-10.2010 · DOI
- Lackinger, 2019, A placental mammal-specific microRNA cluster acts as a natural brake for sociability in mice, EMBO Reports, 20, 10.15252/embr.201846429 · DOI
- Landgraf, 2003, Embryonic origins of a motor system: motor dendrites form a myotopic map in Drosophila, PLOS Biology, 1, 10.1371/journal.pbio.0000041 · DOI
- Landgraf, 2006, Development of Drosophila motoneurons: specification and morphology, Seminars in Cell & Developmental Biology, 17, 3, 10.1016/j.semcdb.2005.11.007 · DOI
- Mahr, 2006, The expression pattern of the Drosophila vesicular glutamate transporter: a marker protein for motoneurons and glutamatergic centers in the brain, Gene Expression Patterns, 6, 299, 10.1016/j.modgep.2005.07.006 · DOI
- Marco, 2012, Evolution and function of the extended miR-2 microRNA family, RNA Biology, 9, 242, 10.4161/rna.19160 · DOI
- McGeary, 2019, The biochemical basis of microRNA targeting efficacy, Science, 366, 10.1126/science.aav1741 · DOI
- Miranda, 2006, A pattern-based method for the identification of MicroRNA binding sites and their corresponding heteroduplexes, Cell, 126, 1203, 10.1016/j.cell.2006.07.031 · DOI · Paper page
- Pereanu, 2007, The emergence of patterned movement during late embryogenesis of Drosophila, Developmental Neurobiology, 67, 1669, 10.1002/dneu.20538 · DOI
- Peron, 2009, From action potential to contraction: neural control and excitation-contraction coupling in larval muscles of Drosophila, Comparative Biochemistry and Physiology. Part A, Molecular & Integrative Physiology, 154, 173, 10.1016/j.cbpa.2009.04.626 · DOI
- Pfaffl, 2001, A new mathematical model for relative quantification in real-time RT-PCR, Nucleic Acids Research, 29, 10.1093/nar/29.9.e45 · DOI · Paper page
- Picao-Osorio, 2015, MicroRNA-encoded behavior in Drosophila, Science, 350, 815, 10.1126/science.aad0217 · DOI
- Picao-Osorio, 2017, Pervasive behavioral effects of MicroRNA regulation in Drosophila, Genetics, 206, 1535, 10.1534/genetics.116.195776 · DOI
- Ripley, 1972, Neural correlates of embryonic motility in the chick, Brain Research, 45, 127, 10.1016/0006-8993(72)90220-x · DOI
- Risse, 2013, FIM, a novel FTIR-based imaging method for high throughput locomotion analysis, PLOS ONE, 8, 10.1371/journal.pone.0053963 · DOI
- Risse, 2017, FIMTrack: An open source tracking and locomotion analysis software for small animals, PLOS Computational Biology, 13, 10.1371/journal.pcbi.1005530 · DOI
- Saint-Amant, 1998, Time course of the development of motor behaviors in the zebrafish embryo, Journal of Neurobiology, 37, 622, 10.1002/(sici)1097-4695(199812)37:4<622::aid-neu10>3.0.co;2-s · DOI
- Suzuki, 2004, A novel human Cl(-) channel family related to Drosophila flightless locus, The Journal of Biological Chemistry, 279, 22461, 10.1074/jbc.M313813200 · DOI
- Suzuki, 2006, The Drosophila tweety family: molecular candidates for large-conductance Ca2+-activated Cl- channels, Experimental Physiology, 91, 141, 10.1113/expphysiol.2005.031773 · DOI
- Theroux, 1992, Protein-tyrosine kinase activity of alternate protein products of the Drosophila Dsrc28C locus, FEBS Letters, 311, 1, 10.1016/0014-5793(92)81353-n · DOI
- Vincent, 1989, undefined, Genes & Development, 3, 334, 10.1101/gad.3.3.334 · DOI
- Weng, 2013, miR-124 controls male reproductive success in Drosophila, eLife, 2, 10.7554/eLife.00640 · DOI
- Zeng, 2021, An electrically coupled pioneer circuit enables motor development via proprioceptive feedback in Drosophila embryos, Current Biology, 31, 5327, 10.1016/j.cub.2021.10.005 · DOI
- Authors
- Menzies, J. A., Maia Chagas, A., Baden, T., & Alonso, C. R.
- Affiliations
- University of Sussex (GB)
- Department of Neuroscience, Sussex Neuroscience, School of Life Sciences, University of Sussex
- Venue
- eLife
- Publisher
- eLife Sciences Publications, Ltd
- Published
- 2024-06-13
- Volume
- 13
- ISSN
- 2050-084X (ISSN-L)
- OpenAlex
- W4399626001
- Cited by
- 1
- References
- 1
- Citations by year
- 2026: 1
- FWCI
- 0.18
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- eLife (publishedVersion, cc-by)
- Funders
- Wellcome Trust (10.35802/098410, 10.35802/220277)
- Medical Research Council (MR/S011609/1)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurobiology and Insect Physiology Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Developmental Biology and Gene Regulation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
- Keywords
- embryonic movement, microRNA, Drosophila embryo, small RNA, chloride channels, sensory neurons, embryonic nervous system development, motor circuitry, behavioral phenotyping, miRNA target genes
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