Mechanisms of black and white stripe pattern formation in the cuticles of insect larvae

2006 ◽  
Vol 52 (6) ◽  
pp. 638-645 ◽  
Author(s):  
Yosuke Ninomiya ◽  
Kohjiro Tanaka ◽  
Yoichi Hayakawa
2017 ◽  
Vol 25 (5) ◽  
pp. 5341 ◽  
Author(s):  
Qian Zhou ◽  
Xiaorui Qiao ◽  
Kai Ni ◽  
Xinghui Li ◽  
Xiaohao Wang

1997 ◽  
Vol 352 (1361) ◽  
pp. 1565-1588 ◽  
Author(s):  
H. Neumeister ◽  
B. U. Budelmann

The two equilibrium receptor organs (statocysts) of Nautilus are ovoid sacks, half-filled with numerous small, free-moving statoconia and half with endolymph. The inner surface of each statocyst is lined with 130 000 to 150 000 primary sensory hair cells. The hair cells are of two morphological types. Type A hair cells carry 10 to 15 kinocilia arranged in a single ciliary row; they are present in the ventral half of the statocyst. Type B hair cells carry 8 to 10 irregularly arranged kinocilia; they are present in the dorsal half of the statocyst. Both type of hair cells are morphologically polarized. To test whether these features allow the Nautilus statocyst to sense angular accelerations, behavioural experiments were performed to measure statocyst-dependent funnel movements during sinusoidal oscillations of restrained Nautilus around a vertical body axis. Such dynamic rotatory stimulation caused horizontal phase-locked movements of the funnel. The funnel movements were either in the same direction (compensatory funnel response), or in the opposite direction (funnel follow response) to that of the applied rotation. Compensatory funnel movements were also seen during optokinetic stimulation (with a black and white stripe pattern) and during stimulations in which optokinetic and statocyst stimulations were combined. These morphological and behavioural findings show that the statocysts of Nautilus , in addition to their function as gravity receptor organs, are able to detect rotatory movements (angular accelerations) without the specialized receptor systems (crista/cupula systems) that are found in the statocysts of coleoid cephalopods. The findings further indicate that both statocyst and visual inputs control compensatory funnel movements.


2003 ◽  
Vol 107 (15) ◽  
pp. 3486-3495 ◽  
Author(s):  
V. I. Kovalchuk ◽  
M. P. Bondarenko ◽  
E. K. Zholkovskiy ◽  
D. Vollhardt

2015 ◽  
Vol 12 (112) ◽  
pp. 20150812 ◽  
Author(s):  
Alexandria Volkening ◽  
Björn Sandstede

Zebrafish have distinctive black stripes and yellow interstripes that form owing to the interaction of different pigment cells. We present a two-population agent-based model for the development and regeneration of these stripes and interstripes informed by recent experimental results. Our model describes stripe pattern formation, laser ablation and mutations. We find that fish growth shortens the necessary scale for long-range interactions and that iridophores, a third type of pigment cell, help align stripes and interstripes.


2020 ◽  
Vol 28 (01) ◽  
pp. 27-64 ◽  
Author(s):  
RENJI HAN ◽  
LAKSHMI NARAYAN GUIN ◽  
BINXIANG DAI

Spatial patterns through diffusion-driven instability are stationary structures that appear spontaneously upon breaking the symmetry of the spatial domain, which results only from the coupling between the reaction and the diffusion processes. This paper is concerned with a modified Leslie–Gower-type model with cross-diffusion and indirect predation effect. We first prove the global existence, non-negativity and uniform boundedness for the considered model. Then the linear stability analysis shows that the cross-diffusion is the key mechanism of spatiotemporal pattern formation. Amplitude equations are derived near Turing bifurcation point under nonlinear cross-diffusion to interpret pattern selection among spot pattern, stripe pattern and the mixture of spot and stripe patterns, which reflects the species’s spatially inhomogeneous distribution, and it is also found that the fear factor has great influence on spatially inhomogeneous distribution of the two species under certain cross-diffusivity, that is, high level of fear can induce striped inhomogeneous distribution, low level of fear can induce spotted inhomogeneous distribution, and the intermediate level of fear can induce the mixture of spotted and striped inhomogeneous distribution. Finally, numerical simulations illustrate the effectiveness of all theoretical results.


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