Live Morphometric Classification of Sensory Neurons in Larval Zebrafish

  • Gema Valera
  • Hernán López-SchierEmail author
Part of the Methods in Molecular Biology book series (MIMB, volume 2047)


Sensory systems convey environmental information to the brain. A comprehensive description of neuronal anatomy and connectivity is essential to understand how sensory information is acquired, transmitted, and processed. Here we describe a high-resolution live imaging technique to quantify the architecture of sensory neurons in larval zebrafish. This approach is ideal to assess neuronal-circuit plasticity and regeneration.


Sensory system Lateral line Zebrafish Neuronal morphometry 



We thank the Central Animal Facility of the HMGU (Munich, Germany) for expert animal care. This work was supported by the Helmholtz Gemeinschaft.

Ethical considerations: All procedures on live specimens should be performed under guidelines and approved protocols by local and general/federal agencies. The method and experiments described here were performed according to EU Directive 2010/63/EU, under which an ethics committee-approved animal protocol is required for freely feeding zebrafish (older than 5.5 days). Work in our laboratory employs zebrafish of 5 days or younger.


  1. 1.
    Schwander M, Kachar B, Muller U (2010) The cell biology of hearing. J Cell Biol 190:9–20CrossRefGoogle Scholar
  2. 2.
    Sung CH, Chuang JZ (2010) The cell biology of vision. J Cell Biol 190:953–963CrossRefGoogle Scholar
  3. 3.
    Lumpkin EA, Marshall KL, Nelson AM (2010) The cell biology of touch. J Cell Biol 191:237–248CrossRefGoogle Scholar
  4. 4.
    Luo L, Flanagan JG (2007) Development of continuous and discrete neural maps. Neuron 56:284–300CrossRefGoogle Scholar
  5. 5.
    Rouse GW, Pickles JO (1991) Paired development of hair cells in neuromasts of the teleost lateral line. Proc Biol Sci 246:123–128CrossRefGoogle Scholar
  6. 6.
    Faucherre A, Pujol-Martí J, Kawakami K, López-Schier H (2009) Afferent neurons of the zebrafish lateral line are strict selectors of hair-cell orientation. PLoS One 4:e4477CrossRefGoogle Scholar
  7. 7.
    Lozano-Ortega M, Valera G, Xiao Y, Faucherre A, López-Schier H (2018) Hair cell identity establishes labeled lines of directional mechanosensation. PLoS Biol 16(7):e2004404CrossRefGoogle Scholar
  8. 8.
    Ji YR, Warrier S, Jiang T, Wu DK, Kindt KS (2018) Directional selectivity of afferent neurons in zebrafish neuromasts is regulated by Emx2 in presynaptic hair cells. elife 7:pii: e35796CrossRefGoogle Scholar
  9. 9.
    Dow E, Jacobo A, Hossain S, Siletti K, Hudspeth AJ (2018) Connectomics of the zebrafishs lateral-line neuromast reveals wiring and miswiring in a simple microcircuit. Elife 7:pii: e33988CrossRefGoogle Scholar
  10. 10.
    Pujol-Martí J, López-Schier H (2013) Developmental and architectural principles of the lateral-line neural map. Front Neural Circuits 7:47CrossRefGoogle Scholar
  11. 11.
    Oteíza P, Odstrcil I, Lauder G, Portugués R, Engert F (2017) A novel mechanism for mechanosensory-based rheotaxis in larval zebrafish. Nature 547(7664):445–448CrossRefGoogle Scholar
  12. 12.
    Xiao Y, Faucherre A, Pola-Morell L, Heddleston JM, Liu TL, Chew TL, Sato F, Sehara-Fujisawa A, Kawakami K, López-Schier H (2015) High-resolution live imaging reveals axon-glia interactions during peripheral nerve injury and repair in zebrafish. Dis Model Mech 8(6):553–564CrossRefGoogle Scholar
  13. 13.
    Pujol-Martí J, Faucherre A, Aziz-Bose R, Asgharsharghi A, Colombelli J, Trapani JG, López-Schier H (2014) Converging axons collectively initiate and maintain synaptic selectivity in a constantly remodeling sensory organ. Curr Biol 24(24):2968–2974CrossRefGoogle Scholar
  14. 14.
    Kindt KS, Finch G, Nicolson T (2012) Kinocilia mediate mechanosensitivity in developing zebrafish hair cells. Dev Cell 23(2):329–341CrossRefGoogle Scholar

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© Springer Science+Business Media, LLC, part of Springer Nature 2020

Authors and Affiliations

  1. 1.Sensory Biology and OrganogenesisHelmholtz Zentrum MunichMunichGermany

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