INTERDISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY |
Prev
Next
|
|
|
Dynamics of zebrafish locomotion being independent of spatial size |
Zhen Wang(王震)1, Jian Gao(高见)1,†, Yongshang Long(龙永尚)1, Huaping Lv(吕华平)2, and Qun Wang(王群)2 |
1 School of Mathematics and Physics, Anqing Normal University, Anqing 246011, China; 2 School of Physics and Electronic Engineering, Jiangsu Normal University, Xuzhou 221116, China |
|
|
Abstract Zebrafish are increasingly being utilized as a laboratory animal species to study various biological processes, both normal and pathological. It is crucial to comprehend the dynamics of zebrafish locomotion and put forth realistic models since their locomotion characteristics are employed as feedback indicators in diverse experiments. In this study, we conducted experimental research on the locomotion of zebrafish across various spatial sizes, focusing on the analysis of motion step size and motion direction. The results indicated that the motion step exhibits long-range correlations, the motion direction shows unbiased randomness, and the data characteristics are not influenced by spatial size. The dynamic mechanisms are complicated dynamical processes rather than fractional Brownian or Lévy processes motion. Based on the experimental results, we proposed a model for describing the movement of zebrafish in a circular container. Our findings shed light on the locomotion characteristics of zebrafish, and have the potential to benefit both the biological outcomes of animal tests and the welfare of the subjects.
|
Received: 22 October 2024
Revised: 07 December 2024
Accepted manuscript online: 03 January 2025
|
PACS:
|
87.10.-e
|
(General theory and mathematical aspects)
|
|
87.15.A-
|
(Theory, modeling, and computer simulation)
|
|
05.70.Ln
|
(Nonequilibrium and irreversible thermodynamics)
|
|
Fund: Project supported by the National Natural Science Foundation of China (Grant No. 12205006) and the Excellent Youth Scientific Research Project of Anhui Province, China (Grant No. 2022AH030107). |
Corresponding Authors:
Jian Gao
E-mail: gaojian1612@163.com
|
Cite this article:
Zhen Wang(王震), Jian Gao(高见), Yongshang Long(龙永尚), Huaping Lv(吕华平), and Qun Wang(王群) Dynamics of zebrafish locomotion being independent of spatial size 2025 Chin. Phys. B 34 038702
|
[1] Vascotto S G, Beckham Y and Kelly G J 1997 Biochem. Cell. Biol. 75 479 [2] Grunwald D J and Eisen J S 2002 Nat. Rev. Genet. 3 717 [3] Rubinstein A L 2003 PubMed 6 218 [4] Amsterdam A and Hopkins N 2006 Trends Genet. 22 473 [5] Barbazuk W B 2000 Genome Res. 10 1351 [6] Lieschke G J and Currie P D 2007 Nat. Rev. Genet. 8 353 [7] Spence R, Gerlach G, Lawrence C and Smith C 2007 Nat. Rev. Genet. 83 13 [8] Dooley K 2000 Curr. Opin. Genet. Dev. 10 252 [9] Zhang N N, Zhou L Y, Liu X, Wei Z C, Liu H Y, Lan S, Meng Z and Fan H H 2020 Chin. Phys. B 30 044204 [10] Stewart A, Gaikwad S, Kyzar E, Green J, Roth A and Kalueff A V 2012 Neuropharmacology 62 135 [11] Gerlai R, Lahav M, Guo S and Rosenthal A 2000 Pharmacol. Biochem. Behav. 67 773 [12] Mathur P and Guo S 2010 Neurobiol. Dis. 40 66 [13] Al-Imari L and Gerlai R 2008 Behav. Brain Res. 189 216 [14] Kalueff A V, Gebhardt M, Stewart A M, Cachat J M, Brimmer M, Chawla J S, Craddock C, Kyzar E J, Roth A, Landsman S, Gaikwad S, Robinson K, Baatrup E, Tierney K, Shamchuk A, Norton W, Miller N, Nicolson T, Braubach O and Gilman C 2013 Zebrafish 10 70 [15] Maximino C, de Brito T M, da Silva Batista A W, Herculano A M, Morato S and Gouveia A 2010 Behav. Brain Res. 214 157 [16] Kalueff A V, Stewart A M and Gerlai R 2014 Trends Pharmacol. Sci. 35 63 [17] Saverino C and Gerlai R 2008 Behav. Brain Res. 191 77 [18] Polverino G, Abaid N, Kopman V, Macri S and Porfiri M 2012 Bioinspir. Biomim. 7 036019 [19] Luca R M and Gerlai R 2012 Behav. Brain Res. 226 66 [20] Cianca V, Bartolini T, Porfiri M and Macri S 2013 PLoS One 8 e69661 [21] Abaid N, Bartolini T, Macri S and Porfiri M 2012 Behav. Brain Res. 233 545 [22] Gokce S and Kayacan 2016 Chin. Phys. B 25 010508 [23] Li F, Lin J, Liu X, Li W, Ding Y, Zhang Y and Li Q 2018 Ann. Transl. Med. 6 173 [24] Giacomini N J, Rose B, Kobayashi K and Guo S 2006 Neurotoxicol. teratol. 28 245 [25] Belyaeva N F, Kashirtseva V N, Medvedeva N V, Khudoklinova Yu Yu, Ipatova O M and Archakov A I 2009 Biochem. Mosc. Suppl. S. 3 343 [26] Russell W M S and Burch R L 1960 Med. J. Aust. 1 500 [27] Sumpter D 2010 Collective Animal Behavior (Princeton Univ. Press) [28] Gautrais J, Ginelli F, Fournier R, Blanco S, Soria M, Chate H and Theraulaz G 2012 PLoS Comput. Biol. 8 e1002678 [29] Herbert-Read J E, Perna A, Mann R P, Schaerf T M, Sumpter D J T and Ward A J W 2011 Proc. Natl. Acad. Sci. USA 108 18726-18731 [30] Codling E A, Plank M J and Benhamou S 2008 J. R. Soc. Interface 5 813 [31] Giuggioli L, Potts J R and Harris S 2011 Phys. Rev. E 83 061138 [32] Kareiva P and Nanako Shigesada 1983 Oecologia 56 234 [33] Bergman C M, Schaefer J A and Luttich S N 2000 Oecologia. 123 364 [34] Degond P and Motsch S 2008 J. Sta. Phys. 131 989 [35] Gautrais J, Jost C, Soria M, Campo A, Motsch S, Fournier R, Blanco S and Theraulaz G 2008 J. Math. Biol. 58 429 [36] Peng C K, Buldyrev S V, Havlin S, Simons M, Stanley H E and Goldberger A L 1994 Phys. Rev. E 49 1685 [37] Tang Y F, Liu S L, Jiang R H and Liu Y H 2013 Chin. Phys. B 22 030504 [38] FengW, Yang Y, Yuan Q, Gu C and Yang H 2019 Fractals 27 1950005 [39] Paolo Grigolini, Palatella L and Raffaelli G 2001 Fractals 09 439 [40] Zhang W, Qiu L, Xiao Q, Yang H, Zhang Q and Wang J 2012 Phys. Rev. E 86 056107 [41] Scafetta N and Grigolini P 2002 Phys. Rev. E 66 036130 [42] Cachat J, Stewart A, Utterback E, Hart P, Gaikwad S, Wong K, Kyzar E, Wu N and Kalueff A V 2011 PLoS One 6 e17597 [43] Butail S, Bartolini T and Porfiri M 2013 PLoS One 8 e76123 |
No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
Altmetric
|
blogs
Facebook pages
Wikipedia page
Google+ users
|
Online attention
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
View more on Altmetrics
|
|
|