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Quantification of larval zebrafish motor function in multiwell plates using open-source MATLAB applications

Abstract

This article describes a method to quantify the movements of larval zebrafish in multiwell plates, using the open-source MATLAB applications LSRtrack and LSRanalyze. The protocol comprises four stages: generation of high-quality, flatly illuminated video recordings with exposure settings that facilitate object recognition; analysis of the resulting recordings using tools provided in LSRtrack to optimize tracking accuracy and motion detection; analysis of tracking data using LSRanalyze or custom MATLAB scripts; and implementation of validation controls. The method is reliable, automated and flexible, requires <1 h of hands-on work for completion once optimized and shows excellent signal:noise characteristics. The resulting data can be analyzed to determine the following: positional preference; displacement, velocity and acceleration; and duration and frequency of movement events and rest periods. This approach is widely applicable to the analysis of spontaneous or stimulus-evoked zebrafish larval neurobehavioral phenotypes resulting from a broad array of genetic and environmental manipulations, in a multiwell plate format suitable for high-throughput applications.

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Figure 1: Experimental design.
Figure 2: Equipment.
Figure 3: LSRtrack user interface.
Figure 4: Troubleshooting LSRtrack.
Figure 5: LSRanalyze user interface.
Figure 6: Typical results from the protocol.
Figure 7: LSRtrack error reports.
Figure 8: Stability of group motor activity.

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References

  1. Mahmood, F., Fu, S. & Cooke, J. et al. A zebrafish model of CLN2 disease is deficient in tripeptidyl peptidase 1 and displays progressive neurodegeneration accompanied by a reduction in proliferation. Brain 136 (Part 5): 1488–1507 (2013).

    Article  Google Scholar 

  2. Milanese, C., Sager, J.J. & Bai, Q. et al. Hypokinesia and reduced dopamine levels in zebrafish lacking β- and γ1-synucleins. J. Biol. Chem. 287, 2971–2983 (2012).

    Article  CAS  Google Scholar 

  3. Elbaz, I., Yelin-Bekerman, L. & Nicenboim, J. et al. Genetic ablation of hypocretin neurons alters behavioral state transitions in zebrafish. J. Neurosci. 32, 12961–12972 (2012).

    Article  CAS  Google Scholar 

  4. Rihel, J., Prober, D.A. & Arvanites, A. et al. Zebrafish behavioral profiling links drugs to biological targets and rest/wake regulation. Science 327, 348–351 (2010).

    Article  CAS  Google Scholar 

  5. Sallinen, V., Torkko, V. & Sundvik, M. et al. MPTP and MPP+ target specific aminergic cell populations in larval zebrafish. J. Neurochem. 108, 719–731 (2009).

    Article  CAS  Google Scholar 

  6. Kokel, D., Bryan, J. & Laggner, C. et al. Rapid behavior-based identification of neuroactive small molecules in the zebrafish. Nat. Chem. Biol. 6, 231–237 (2010).

    Article  CAS  Google Scholar 

  7. Zon, L.I. & Peterson, R.T. In vivo drug discovery in the zebrafish. Nat. Rev. Drug. Discov. 4, 35–44 (2005).

    Article  CAS  Google Scholar 

  8. Farrell, T.C., Cario, C.L. & Milanese, C. et al. Evaluation of spontaneous propulsive movement as a screening tool to detect rescue of Parkinsonism phenotypes in zebrafish models. Neurobiol. Dis. 44, 9–18 (2011).

    Article  CAS  Google Scholar 

  9. Prober, D.A., Rihel, J. & Onah, A.A. et al. Hypocretin/orexin overexpression induces an insomnia-like phenotype in zebrafish. J. Neurosci. 26, 13400–13410 (2006).

    Article  CAS  Google Scholar 

  10. Burgess, H.A. & Granato, M. Modulation of locomotor activity in larval zebrafish during light adaptation. J. Exp. Biol. 210 (Part 14): 2526–2539 (2007).

    Article  Google Scholar 

  11. Cario, C.L., Farrell, T.C. & Milanese, C. et al. Automated measurement of zebrafish larval movement. J. Physiol. 589 (Part 15): 3703–3708 (2011).

    Article  CAS  Google Scholar 

  12. Sager, J.J., Torres, G.E. & Burton, E.A. The zebrafish homologue of the human DYT1 dystonia gene is widely expressed in CNS neurons but non-essential for early motor system development. PLoS ONE 7, e45175 (2012).

    Article  CAS  Google Scholar 

  13. Richendrfer, H., Pelkowski, S.D. & Colwill, R.M. et al. On the edge: pharmacological evidence for anxiety-related behavior in zebrafish larvae. Behav. Brain Res. 228, 99–106 (2012).

    Article  CAS  Google Scholar 

  14. Fontaine, E., Lentink, D. & Kranenbarg, S. et al. Automated visual tracking for studying the ontogeny of zebrafish swimming. J. Exp. Biol. 211 (Part 8): 1305–1316 (2008).

    Article  Google Scholar 

  15. Creton, R. Automated analysis of behavior in zebrafish larvae. Behav. Brain Res. 203, 127–136 (2009).

    Article  Google Scholar 

  16. Martineau, P.R. & Mourrain, P. Tracking zebrafish larvae in group—status and perspectives. Methods 62, 292–303 (2013).

    Article  CAS  Google Scholar 

  17. Burgess, H.A. & Granato, M. Sensorimotor gating in larval zebrafish. J. Neurosci. 27, 4984–4994 (2007).

    Article  CAS  Google Scholar 

Download references

Acknowledgements

Development of LSRtrack and the current protocol was supported by research grants from the National Institute of Neurological Disorders and Stroke (NINDS) (NS080881 and NS058369), the National Institute of Environmental Health Sciences (NIEHS) (ES022644), the Pittsburgh Foundation (M2005-0071) and the Society for Progressive Supranuclear Palsy (468-08). Y.Z. is a Tsinghua Scholar at the University of Pittsburgh.

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Authors and Affiliations

Authors

Contributions

Y.Z., C.L.C. and E.A.B. designed and wrote the software; Y.Z., R.T.C., Q.B. and E.A.B. developed the experimental protocol; Y.Z., R.T.C. and Q.B. carried out the experiments; and Y.Z., R.T.C. and E.A.B. wrote the manuscript.

Corresponding author

Correspondence to Edward A Burton.

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Competing interests

The authors declare no competing financial interests.

Supplementary information

Supplementary Methods

Instructions and drawings are shown for construction of optional equipment used in the protocol. (PDF 508 kb)

Supplementary Software

Software is adapted from Cario, C.L., Farrell, T.C., Milanese, C. & Burton, E.A. Automated measurement of zebrafish larval movement. J. Physiol. 589 3703–3708 (2011) with permission from Wiley (© 2011 The Authors. Journal compilation © 2011 The Physiological Society). (ZIP 46 kb)

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Zhou, Y., Cattley, R., Cario, C. et al. Quantification of larval zebrafish motor function in multiwell plates using open-source MATLAB applications. Nat Protoc 9, 1533–1548 (2014). https://doi.org/10.1038/nprot.2014.094

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