Dominating lengthscales of zebrafish collective behaviour

Yang, Yuan; Turci, Francesco; Kague, Érika; Hammond, Chrissy L.; Russo, John; Royall, C. Patrick

doi:10.1371/journal.pcbi.1009394

Cited by 11 publications

(17 citation statements)

References 57 publications

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“…The value of α in Eq. 2 changes the relative proportion of the two, and we set its value to be 0.63, consistent with previous work [40]. In our discussion on the effect of the α value of the model is available in the, we conclude that the α = 0.63 fitted to our data provides convincing evidence for some effective inertia in the zebrafish system.…”

Section: Resultssupporting

confidence: 77%

“…We found that the col11a2 -/- zebrafish showed significantly reduced bending compared to the wildtype. Then, in a 3d swimming environment, we recovered the 3d trajectories of fish swimming alone ( N = 1) or swimming as a group ( N = 25) with a custom three view tracking apparatus [40, 53, 54]. Strikingly, a single mutant fish took a significantly longer time to change its orientation, and a group of col11a2 -/- zebrafish exhibited more ordered movement characterised by the polarization order parameter.…”

Section: Resultsmentioning

confidence: 99%

“…These requirements are beyond our current experimental capability. Nevertheless, we would expect a large group of wt fish to stay in the order-disorder transition region to enjoy the maximum susceptibility [40, 68, 69], while a large group of mutant fish are expected to reside on the ordered region.…”

Section: Discussionmentioning

confidence: 99%

“…Surprisingly, a group of 25 mutant zebrafish exhibited a more polarised swimming pattern. These behavioral differences are well explained by the Vicsek model with a simple modification on the orientation updating rule [15, 40], suggesting that the col11a2 mutant zebrafish exhibits reduced behavioral noise. Such reduction can be attributed to the limited bending of their bodies, intrinsically related to their vertebral defects.…”

Section: Introductionmentioning

confidence: 99%

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Tuning Collective Behaviour in Zebrafish with Genetic Modification

Yang,

Kawafi,

Tong

et al. 2024

Preprint

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Zebrafish collective behaviour is widely used to assess their physical and mental state, serving as a valuable tool to assess the impact of ageing, disease genetics, and the effect of drugs. The essence of these macroscopic phenomena can be represented by active matter models, where the individuals are abstracted as interactive self-propelling agents. The behaviour of these agents depends on a set of parameters in a manner reminiscent of those between the constituents of physical systems. In a few cases, the system may be controlled at the level of the individual constituents such as the interactions between colloidal particles, or the enzymatic behaviour of de novo proteins. Usually, however, while the collective behaviour may be influenced by environmental factors, it typically cannot be changed at will. Here, we challenge this scenario in a biological context by genetically modifying zebrafish. We thus demonstrate the potential of genetic modification in the context of controlling the collective behaviour of biological active matter systems at the level of the constituents, rather than externally. In particular, we probe the effect of the lack of col11a2 gene in zebrafish, which causes the early onset of osteoarthritis. The resulting col11a2 -/- zebrafish exhibited compromised vertebral column properties, bent their body less while swimming, and took longer to change their orientations. Surprisingly, a group of 25 mutant fish exhibited more orderly collective motion than the wildtype. We show that the collective behaviour of wildtype and col11a2 zebrafish are captured with a simple active matter model, in which the mutant fish are modelled by self–propelling agents with a higher orientational noise on average. In this way, we demonstrate the possibility of tuning a biological system, changing the state space it occupies when interpreted with a simple active matter model.

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Section: Resultssupporting

confidence: 77%

Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Tuning Collective Behaviour in Zebrafish with Genetic Modification

Yang,

Kawafi,

Tong

et al. 2024

Preprint

Self Cite

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“…Inspired by the classic Vicsek model, “alignment” and “noise” have been two basic components to determine the phase transition of collective motile agents, including self-propelled particles, hard rods, , and filamentous active matters. − As a parameter defining the persistence distance of a motile agent, the L p has been widely recognized to be inversely proportional to noise. − Although several theoretical models investigated the influence of L p on collective motion, experimental validations are still limited significantly. Here, we systematically investigated the influence of L p -dependent orientational noise of MTs on their collective motion.…”

Section: Resultsmentioning

confidence: 99%

Durability of Aligned Microtubules Dependent on Persistence Length Determines Phase Transition and Pattern Formation in Collective Motion

et al. 2022

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Collective motion is a ubiquitous phenomenon in nature. The collective motion of cytoskeleton filaments results mainly from dynamic collisions and alignments; however, the detailed mechanism of pattern formation still needs to be clarified. In particular, the influence of persistence length, which is a measure of filament flexibility, on collective motion is still unclear and lacks experimental verifications although it is likely to directly affect the orientational flexibility of filaments. Here, we investigated the collective motion of microtubules with different persistence lengths using a microtubule–kinesin motility system. We showed that local interactions between microtubules significantly vary depending on their persistence length. We demonstrated that the bundling of microtubules is enhanced by more durable alignment, rather than by greater likelihood of alignment. An agent-based computational model confirmed that the rigidity-dependent durability of microtubule alignment dominates their collective behavior.

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