Social cooperation is fundamentally important for group animals but rarely studied in mice because of their natural aggressiveness. Here, we present a new water-reward assay to investigate mutualistic cooperative behavior in mice. We describe the construction of the apparatus and provide details of the procedures and analysis for investigators to characterize and quantify the mutualistic cooperative behavior. This protocol has been validated in mice and can be used for investigating mechanisms of cooperation. For complete details on the use and execution of this protocol, please refer to Zhang et al. and Wang et al..
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http://dx.doi.org/10.1016/j.xpro.2024.103023 | DOI Listing |
Acta Naturae
January 2024
FSBSI V.A. Afanasyev RI for Fur and Rabbit Farming, Moscow region, Ramen's district, Rodniki, 140143 Russian Federation.
In this analytical review, we explore the potential impact of the rapid proliferation of artificial intelligence (AI) tools on the biosphere and noosphere, suggesting that the trend may lead to a transformative event that could be termed "Human-AI integration." We argue that this integration could give rise to novel lifeforms, associations, and hierarchies, resulting in competitive advantages and increased complexity of structural organizations within both the biosphere and noosphere. Our central premise emphasizes the importance of human-AI integration as a global adaptive response crucial for our civilization's survival amidst a rapidly changing environment.
View Article and Find Full Text PDFBMC Microbiol
October 2024
Molecular Cell Biomechanics Laboratory, Departments of Bioengineering and Mechanical Engineering, University of California, Berkeley, CA, 94720, USA.
Bacterial communities are ubiquitous, found in natural ecosystems, such as soil, and within living organisms, like the human microbiome. The dynamics of these communities in diverse environments depend on factors such as spatial features of the microbial niche, biochemical kinetics, and interactions among bacteria. Moreover, in many systems, bacterial communities are influenced by multiple physical mechanisms, such as mass transport and detachment forces.
View Article and Find Full Text PDFProc Biol Sci
October 2024
Department of Biological Sciences, The University of Tokyo, Hongo 7-3-1, Bunkyoku, Tokyo 113-0033, Japan.
Social interaction is a prime driver for the evolution of animal behaviour. Dyadic interaction, in particular, has been the focus of intensive research on the evolution of mutualistic, altruistic, selfish or spiteful behaviours. Meanwhile, triadic interaction has been the minimal framework for the study of animal coalition as observed in some species of primates, as well as in carnivores and cetaceans, where two or more individuals act jointly against a third party in a competitive context.
View Article and Find Full Text PDFTheor Popul Biol
December 2024
Department of Biology, Faculty of Education, Hirosaki University, Hirosaki 036-8560, Japan. Electronic address:
The evolution of microbe-microbe mutualistic symbiosis is considered to be promoted by repeated exchanges of fitness benefits, which can generate positive fitness feedbacks ('partner fidelity feedback') between species. However, previous evolutionary models for mutualism have not captured feedback dynamics or coupling of fitness between species. Here, a simple population model is developed to understand the evolution of mutualistic symbiosis in which two microbial species (host and symbiont) continuously grow and exchange fitness benefits to generate feedback dynamics but do not strictly control each other.
View Article and Find Full Text PDFJ Theor Biol
December 2024
School of Innovation and Entrepreneurship, Changzhou Institute of Technology, Changzhou, Jiangsu 213032, PR China. Electronic address:
We further pursue an investigation on an abstract model characterizing the dynamics of a general class of n-species facultative mutualisms that was initiated in Georgescu et al. (2017), establishing biologically relevant sufficient conditions for the global asymptotic stability of the coexistence equilibria. These conditions are given in terms of per-species limits of growth-to-loss ratios computed at higher population densities, complemented by either monotonicity or sublinearity inequalities, and are observed to hold for n-species versions of mutualistic models in current use.
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