Journal
BIOSYSTEMS
Volume 92, Issue 1, Pages 1-9Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.biosystems.2007.10.004
Keywords
E. coli; Dictyostelium; symbiosis; initial stage; flow cytometry; phenotypic plasticity
Categories
Ask authors/readers for more resources
We observed the change in the physiological state of Escherichia coli cells at the initial stage for establishing a new symbiotic relationship with Dictyostelium discoideum cells. For the physiological state, we monitored green fluorescence intensity due to a green fluorescent protein (GFP) gene integrated into the chromosome by flow cytometry (FCM). On co-cultivation of the two species, a new population of E. coli cells with increased GFP concentration appeared, and when the formation of mucoidal colonies housing the coexisting two species began, most E. coli cells were from the new population. Further experiments suggest that the physiological change is induced by interaction with D. discoideum cells and is reversible, although the processes of the changes in both directions seem to proceed gradually. The observed phenotypic plasticity, together with natural selection under a co-cultivation environment, may be important for leading to the evolution of a new symbiotic system. (C) 2007 Elsevier Ireland Ltd. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
Article
Biology
Quantum concepts in Psychology: Exploring the interplay of physics and the human psyche
Theodoros Kyriazos, Mary Poga
Summary: This paper explores the innovative intersection of quantum mechanics and psychology, examining the potential impact of quantum principles on human emotions, cognition, and consciousness. By drawing parallels between quantum phenomena and psychological counterparts, a quantum-psychological model is proposed, reimagining the characteristics of emotional states, cognitive breakthroughs, interpersonal relationships, and the nature of consciousness. Computational models and simulations are used to explore the implications and applications of this interdisciplinary fusion, highlighting its potential benefits and inherent challenges. Approaching this emerging framework with both enthusiasm and skepticism is crucial, and rigorous empirical validation is necessary to fully realize its potential in research and therapeutic contexts.
BIOSYSTEMS (2024)
Article
Biology
Biological thermodynamics: Ervin Bauer and the unification of life sciences and physics
Abir U. Igamberdiev
Summary: Biological systems strive to maximize self-maintenance and adaptability by establishing stable non-equilibrium states that organize the fluxes of matter and energy and control metabolic processes. These states are realized in autopoietic structures that operate based on biological codes. The principle of thermodynamic buffering optimizes metabolic fluxes, and in developing systems, the principle transforms into increasing external work. Bauer's concept of the stable non-equilibrium state places thermodynamics within the framework of internal biological causality, providing a relational theory of biological thermodynamics.
BIOSYSTEMS (2024)
Article
Biology
Gaidai reliability method for high-dimensional spatio-temporal biosystems
Oleg Gaidai, Vladimir Yakimov, Yuhao Niu, Zirui Liu
Summary: This study presents a new methodology for assessing pandemic risks in a national health system. The suggested approach addresses the highdimensionality and complex cross-correlations between regional observations, enabling accurate epidemiological risk forecasts for multi-regional biological and health systems.
BIOSYSTEMS (2024)
Article
Biology
Modeling tumor growth using fractal calculus: Insights into tumor dynamics
Amirreza Khalili Golmankhaneh, Suemeyye Tunc, Agnieszka Matylda Schlichtinger, Dachel Martinez Asanza, Alireza Khalili Golmankhaneh
Summary: This article introduces important concepts such as fractal calculus and fractal analysis, the calculation of squared residuals, and the determination of Aikaike's information criterion for fitting cancer-related data. The study also investigates the double-size cancer in the fractal temporal dimension with respect to various mathematical models.
BIOSYSTEMS (2024)