Theory in Biosciences最新文献

The study of radiosensitivity and radioresistance of organisms exposed to ionizing radiation has acquired additional relevance since a new bio-concept, coined as The primacy of Proteome over Genome, was proposed and demonstrated elsewhere a few years ago. According to that finding, genome integrity would require an actively functioning Proteome. However, when exposure to radiation takes place, Reactive Oxygen Species (ROS) from water radiolysis induce protein carbonylation (PC), an irreversible oxidative Proteome damage. The bio-models used in that study were the radiosensitive Escherichia coli and the extraordinarily robust Deinococcus radiodurans. The production of ROS induces protective reactions rendering them non-reactive forms. Protective entities present in the cytosol, moieties smaller than 3 kDa, shield the Proteome against ROS, yielding protection against carbonylation. Shown in the present study is the fact that the fate of proteins functionality is determined by the magnitude of the Protein Carbonylation Yield (Y_PC), a quantity here analytically defined using published Y_PC numerical results. Analytical Y_PC expressions for E. coli and D. radiodurans were the input for a phenomenological approach, where the radiobiological magnitudes P_P and P_N, the probabilities for production of protein damage and ROS neutralization, respectively, were also analytically deduced. These highly relevant magnitudes, associated with key radiosensitivity and radioresistance issues, are addressed and discussed in this study. Among the plethora of information and conclusions derived from the present study, those endowed with higher conceptual degree, vis-à-vis the "Primacy of Proteome over Genome" concept, are as follows: (1) the ROS neutralization process in D. radiodurans reaches a maximum at a dose interval corresponding to the repairing shoulder. Therefore, it is a signature of the higher efficiency of the PC neutralization process. (2) ROS neutralization in D. radiodurans is nearly one order of magnitude higher than in E. coli, thus accounting for its extraordinary radioresistance. (3) Both physical (ROS-induced carbonyl radicals) and biological (protein modifications) processes are imbedded in the Protein Carbonylation Yield. The amalgamation of these two processes was accomplished by means of a statistical formalism.

Chilli leaf curl Ahmedabad virus (ChiLCAV), a begomovirus belonging to the family Geminiviridae, has been reported for its occurrence in India, infecting chilli and tomato plants. The viral proteins associated with ChiLCAV involves in the primary pathogenesis and transmission of the virus by whitefly. Viral protein interactions with host proteins show the dynamics of structural binding and interaction in their infection cycle. At the same time, plants have multiple defence mechanisms against bacterial and viral infections. Secondary metabolites play a significant role in the inborne defence mechanism of plants. Host proteins are also the prime producers of secondary metabolites. In the present study, we evaluated the host protein SnRK1 interaction with all six viral proteins (V1, V2, C1, C2, C3 and C4). Apart from C4, all the other viral proteins showed appreciable binding and interaction with SnRK1. SnRK1 has the regulation mechanism for the accumulation of diterpenoids, secondary metabolites. Flavonoids are secondary metabolites produced by the plant under stress conditions. Further, we studied the binding and interaction of six selected flavonoids produced by Solanaceae family members with all the ChiLCAV proteins. All six selected flavonoids showed considerable binding energy with all viral proteins. Each flavonoid showed high binding energy with different viral proteins. Molecular docking is carried out for both flavonoids and the host protein SnRK1. These in silico interactions and docking studies could be useful for understanding the plants defence mechanism against viral infections at the molecular level.

The bio-cell cycle is controlled by a complex biochemical network of signaling pathways. Modeling such challenging networks accurately is imperative for the understanding of their detailed dynamical behavior. In this paper, we construct, analyze, and verify a hybrid Petri net (HPN) model of a complex biochemical network that captures the role of an important protein (namely p53) in deciding the fate of the cell. We model the behavior of the cell nucleus and cytoplasm as two stochastic and continuous Petri nets, respectively, combined together into a single HPN. We use simulative model checking to verify three different properties that capture the dynamical behavior of p53 protein with respect to the intensity of the ionizing radiation (IR) to which the cell is exposed. For each IR dose, 1000 simulation runs are carried out to verify each property. Our verification results showed that the fluctuations in p53, which relies on IR intensity, are compatible with the findings of the preceding simulation studies that have previously examined the role of p53 in cell fate decision.

The aim of this study was an analytical justification of the emergence and presence of the phenomenon of war among hominins, taking into account males' genetic benefits gained through war in the natural environment. Based on chimpanzee behavior, the analytical model of the primary warrior balance was explored, comparing the risk of a war expedition with the genetic profits from war rape-"life and death balance". On the profits side, genetic gains possible to obtain in terms of permanent attractiveness of females (warrior status and abductions of females) were also included. Kin cooperation, parochial altruism, and "partisan strategy" have been defined as psychological mechanisms that enable effective group violence. Male genetic benefit from a war rape could exceed the risk of a warrior's death in the chimpanzee-human LCA species; transition from the herd to the patriarchal tribal social system could increase warrior's genetic gains from war. At the root of war lie sexual limitations of cooperating males, induced by female sexual preferences and lack of the permanent female sexual drive. War rape allows reproductive success for dominated and thus sexually restricted males. Tendencies for group aggression to gain access to out-group females (the war gene) are common among sexually restricted men. Resource-rich areas favor increase in human population density, this affects group territoriality and promotes intergroup conflicts, and thus patriarchy. Roots of conventional patriarchal marriage are strongly combined with war-"the right to land entails the right to a female".

We study seasonal mutualistic interactions between two species. The model takes into account the climate-mediated shifts that can change the phenologies of mutualistic species. We show conditions on the parameters of the model that guarantee global stability. Numerical simulations are performed for different scenarios associated with seasonal changes. They show that if periodic time-dependence is used to approximate an almost periodic one, then not only the densities of the mutualistic populations but also the overlapping intervals describing the interval of co-occurrence can be either underestimated or overestimated. Therefore, using an almost periodic model can be more adequate to design conservation strategies for asynchronous phenology.

What is the role of consciousness in volition and decision-making? Are our actions fully determined by brain activity preceding our decisions to act, or can consciousness instead affect the brain activity leading to action? This has been much debated in philosophy, but also in science since the famous experiments by Libet in the 1980s, where the current most common interpretation is that conscious free will is an illusion. It seems that the brain knows, up to several seconds in advance what "you" decide to do. These studies have, however, been criticized, and alternative interpretations of the experiments can be given, some of which are discussed in this paper. In an attempt to elucidate the processes involved in decision-making (DM), as an essential part of volition, we have developed a computational model of relevant brain structures and their neurodynamics. While DM is a complex process, we have particularly focused on the amygdala and orbitofrontal cortex (OFC) for its emotional, and the lateral prefrontal cortex (LPFC) for its cognitive aspects. In this paper, we present a stochastic population model representing the neural information processing of DM. Simulation results seem to confirm the notion that if decisions have to be made fast, emotional processes and aspects dominate, while rational processes are more time consuming and may result in a delayed decision. Finally, some limitations of current science and computational modeling will be discussed, hinting at a future development of science, where consciousness and free will may add to chance and necessity as explanation for what happens in the world.

In this paper, we understand the emergence of life as a pure individuation process. Individuation already occurs in open thermodynamics systems near equilibrium. We understand such open systems, as already recursively characterized (R₁) by the relation between their internal properties, and their boundary conditions. Second, global properties emerge in such physical systems. We interpret this change as the fact that their structure is the recursive result of their operations (R₂). We propose a simulation of the emergence of life in Earth by a mapping (R) through which (R₁R₂) operators are applied to themselves, so that R_N = (R₁R₂)_N. We suggest that under specific thermodynamic (open systems out of equilibrium) and chemical conditions (autocatalysis, kinetic dynamic stability), this mapping can go up to a limit characterized by a fixed-point equation: [Formula: see text]. In this equation, ([Formula: see text]) symbolizes a regime of permanent resonance characterizing the biosphere, as open from inside, by the recursive differential relation between the biosphere and all its holobionts. As such the biosphere is closed on itself as a pure differential entity. ([Formula: see text]) symbolizes the regime of permanent change characterizing the emergence of evolution in the biosphere. As such the biosphere is closed on itself, by the principle of descent with modifications, and by the fact that every holobiont evolves in a niche, while evolving with it.

Through a presentation and a commentary of Husserl's little-known analyses of mathematization in the life sciences and on morphology, this article proposes three goals. First, it aims at establishing the real meaning and results of the critical analyses of the mathematization in natural sciences and of exactness put forth as a standard of scientific knowledge that we read in the Krisis. As a result, it will appear that these analyses belong to the perspective of a project of a formal morphology, understood as an extension of mathesis. It is then to explain why this project only makes sense in the larger framework of the description of the "correlational a priori," i.e., the theory of constituting subjectivity, experiencing these morphologies, and engaging, theoretically, by induction, in the typification and categorial elaboration of possible explanatory models. After presenting the contours of this project and its achievements, we will conclude with some conjectural proposals concerning the profile of plausible mathematical structures likely to satisfy the minimal algebraic formal conditions for a model of stability and plasticity of the living and allowing to understand and express the dynamic stratification of morphological levels and the various forms of morphogenesis.

Disagreement over whether life is inevitable when the conditions can support life remains unresolved, but calculations show that self-organization can arise naturally from purely random effects. Closure to efficient causation, or the need for all specific catalysts used by an organism to be produced internally, implies that a true model of an organism cannot exist, though this does not exclude the possibility that some characteristics can be simulated. Such simulations indicate that there is a limit to how small a self-organizing system can be: much smaller than a bacterial cell, but around the size of a typical virus particle. All current theories of life incorporate, at least implicitly, the idea of catalysis, but they largely ignore the need for metabolic regulation.