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We present a particle-based simulation study on two-component swarms where there exist two different types of groups in a swarm. Effects of different parameters between the two groups are studied systematically based on Langevin's equation. It is shown that the mass difference can introduce a protective behavior for the lighter members of the swarm in a vortex state. When the self-propelling strength is allowed to differ between two groups, it is observed that the swarm becomes spatially segregated and finally separated into two components at a certain critical value. We also investigate effects of different preferences for shelters on their collective decision making. In particular, it is found that the probability of selecting a shelter from the other varies sigmoidally as a function of the number ratio. The model is shown to describe the dynamics of the shelter choosing process of the cockroach-robot mixed group satisfactorily. It raises the possibility that the present model can be applied to the problems of pest control and fishing using robots and decoys.
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http://dx.doi.org/10.1016/j.jtbi.2009.08.025 | DOI Listing |
Proc Natl Acad Sci U S A
June 2025
Division of Microbiology, School of Public Health and Emergency Management, Southern University of Science and Technology, ShenZhen, Guangdong 518055, China.
Two-component system (TCS) histidine kinases enable bacterial pathogens to sense environmental signals and regulate adaptive responses during infection. The EnvZ/OmpR TCS, known for its role in osmolarity/pH-dependent regulation of outer membrane porins across bacterial species, is also a central virulence regulator. However, the environmental cues that activate EnvZ/OmpR to trigger pathogenicity have remained unclear, limiting our understanding of host-pathogen interactions.
View Article and Find Full Text PDFInt J Biol Macromol
June 2025
Guangdong Provincial Key Laboratory of Aquatic Animal Disease Control and Healthy culture, and Key Laboratory of Control for Disease of Aquatic Animals of Guangdong Higher Education Institute, College of Fishery, Guangdong Ocean University, Zhanjiang 524088, China; Guangdong Provincial Engineering R
The two-component systems (TCSs) play vital roles in the regulation of a series of biological processes in bacteria, and the CpxA-CpxR is considered as a kind of classical TCSs involved in bacterial envelope stress responses. However, the roles of the CpxA-CpxR are not sufficiently understood in Vibrio alginolyticus, a serious pathogen causing the outbreak of pathogenic diseases vibriosis in marine fishes. In this study, we examined the effect of cpxA and cpxR deletion on typical phenotypes of V.
View Article and Find Full Text PDFFront Microbiol
July 2024
Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China.
is a gram-negative halophilic bacterium widespread in temperate and tropical coastal waters; it is considered to be the most frequent cause of -associated gastroenteritis in many countries. BolA-like proteins, which reportedly affect various growth and metabolic processes including flagellar synthesis in bacteria, are widely conserved from prokaryotes to eukaryotes. However, the effects exerted by BolA-like proteins on remain unclear, and thus require further investigation.
View Article and Find Full Text PDFInt J Mol Sci
July 2024
State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Life Science and Technology, Guangxi University, Nanning 530004, China.
LuxR-type regulators play pivotal roles in regulating numerous bacterial processes, including bacterial motility and virulence, thereby exerting a significant influence on bacterial behavior and pathogenicity. pv. , a rice pathogen, causes bacterial leaf streak.
View Article and Find Full Text PDFParasit Vectors
July 2024
School of Engineering, University of Warwick, Coventry, CV4 7AL, UK.
Background: Mosquitoes are carriers of tropical diseases, thus demanding a comprehensive understanding of their behaviour to devise effective disease control strategies. In this article we show that machine learning can provide a performance assessment of 2D and 3D machine vision techniques and thereby guide entomologists towards appropriate experimental approaches for behaviour assessment. Behaviours are best characterised via tracking-giving a full time series of information.
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