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Long-Term Continuous Computer Registration and Analysis of Motor Activity of a Group of Zebrafish Danio rerio

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A new algorithm for long-term continuous computer recording and analysis of motor activity of a group of zebrafish in the home tank has been developed. The movements of a group of Danio rerio during the entire light period and for several days are recorded at a frequency of 1 frame/sec in the form of short (15 min) files. Then these files are analyzed by the unique DanioStudo software, which, using a threshold algorithm and appropriate masks, calculates for each frame the sum of pixels associated with fish (the sum of fish silhouettes), and for two consecutive frames, the sum of altered pixels (the sum of altered fish silhouettes). The following indexes are calculated: the rate of sum of silhouettes alteration as the ratio of the sum of altered silhouettes to the sum of silhouettes (1) and the time spent in the selected area of the home tank as the ratio of the sum of silhouettes in this area to the sum of silhouettes in the entire tank (2). The mean rate of silhouette alteration correlates to the length of the path travelled by the fish and, therefore, serves as a correct measure of the motor activity of a group of fish. Using these algorithms, completely new data were obtained: it was shown that the motor activity of fish remains constant throughout the entire light period, but depends on the size of the home tank. The proposed approach, together with the DanioStudio software, can be effective in studying the dynamics of changes in the behavior of fish under long-term exposure to short daylight, drugs and toxic substances.

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References

  1. Kalueff AV, Stewart AM, Gerlai R. Zebrafish as an emerging model for studying complex brain disorders. Trends Pharmacol. Sci. 2014;35(2):63-75. doi: https://doi.org/10.1016/j.tips.2013.12.002

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Stewart AM, Braubach O, Spitsbergen J, Gerlai R, Kalueff AV. Zebrafish models for translational neuroscience research: from tank to bedside. Trends Neurosci. 2014;37(5):264-278. doi: https://doi.org/10.1016/j.tins.2014.02.011

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Kulikov AV, Sinyakova NA, Kulikova EA, Khomenko TM, Salakhutdinov NF, Kulikov VA, Volcho KP. Effects of acute and chronic treatment of novel psychotropic drug, 8-(trifluoromethyl)-1, 2, 3, 4, 5-benzopentathiepin-6-amine hydrochloride (TC-2153), on the behavior of zebrafish (Danio Rerio): a comparison with fluoxetine. Lett. Drug Design Discov. 2019;16(12):1321-1328. doi: https://doi.org/10.2174/1570180816666190221162952

    Article  CAS  Google Scholar 

  4. Kulikov AV, Morozova MV, Kulikov VA, Kirichuk VS, Popova NK. Automated analysis of antidepressants’ effect in the forced swim test. J. Neurosci. Methods. 2010;191(1):26-31. doi: https://doi.org/10.1016/j.jneumeth.2010.06.002

    Article  CAS  PubMed  Google Scholar 

  5. Steinskog DJ, Tjøstheim DB, Kvamstø NG. A cautionary note on the use of the Kolmogorov—Smirnov test for normality. Monthly Weather Rev. 2007;135(3):1151-1157. doi: https://doi.org/10.1175/MWR3326.1

    Article  Google Scholar 

  6. Dreosti E, Lopes G, Kampff AR, Wilson SW. Development of social behavior in young zebrafish. Front. Neural Circuits. 2015;9:39. doi: https://doi.org/10.3389/fncir.2015.00039

    Article  PubMed  PubMed Central  Google Scholar 

  7. Tang W, Davidson JD, Zhang G, Conen KE, Fang J, Serluca F, Li J, Xiong X, Coble M, Tsai T, Molind G, Fawcett CH, Sanchez E, Zhu P, Couzin ID, Fishman MC. Genetic control of collective behavior in zebrafish. iScience. 2020;23(3):100942. doi: https://doi.org/10.1016/j.isci.2020.100942

  8. Harpaz R, Aspiras AC, Chambule S, Tseng S, Bind MA, Engert F, Fishman MC, Bahl A. Collective behavior emerges from genetically controlled simple behavioral motifs in zebrafish. Sci. Adv. 2021;7(41):eabi7460. doi: https://doi.org/10.1126/sciadv.abi7460

  9. Kulikov AV, Tikhonova MA, Kulikov VA. Automated measurement of spatial preference in the open field test with transmitted lighting. J. Neurosci. Methods. 2008;170(2):345-351. doi: https://doi.org/10.1016/j.jneumeth.2008.01.024

    Article  PubMed  Google Scholar 

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Authors and Affiliations

  1. Federal Research Center Institute of Cytology and Genetics, Siberian Division of the Russian Academy of Sciences, Novosibirsk, Russia

    P. A. Kulikov, I. E. Sorokin, V. S. Evsiukova & A. V. Kulikov

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  1. P. A. Kulikov
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  2. I. E. Sorokin
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  3. V. S. Evsiukova
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  4. A. V. Kulikov
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Correspondence to A. V. Kulikov.

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Translated from Byulleten’ Eksperimental’noi Biologii i Meditsiny, Vol. 175, No. 1, pp. 122-127, January, 2023

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Kulikov, P.A., Sorokin, I.E., Evsiukova, V.S. et al. Long-Term Continuous Computer Registration and Analysis of Motor Activity of a Group of Zebrafish Danio rerio. Bull Exp Biol Med 175, 106–111 (2023). https://doi.org/10.1007/s10517-023-05820-3

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  • DOI: https://doi.org/10.1007/s10517-023-05820-3

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