Biosystems最新文献

Diplonychus annulatus sp. (family Belostomidae and order Hemipetra) is an aquatic water bug, adapted to ponds and wetlands. Commonly referred to as toe-biters or electric-light bugs, both the nymph and the adults prey on other invertebrates in the water. In search of both food and mates, the adults frequently fly between water bodies, leading to an amphibious lifestyle. It is likely that because of such a lifestyle, they have evolved structures on their wings that enable them to be dry and be able to fly. In this paper, we report the anti-wetting property of the fore and hind wings. We show that wings, have intricately designed hierarchical structures of setae, microtrichia, and a "micro-architectured well" interspersed with club-like projections. The wings were extremely superhydrophobic with water contact angle ranging between 160⁰ to 170⁰. FTIR analysis of the wings indicated the presence of hydrophobic groups. Thus, due to both, the intricate surface features as well as possibly the low surface energy due to the hydrophobic groups on the wings, the water bug can maintain a high degree of dryness in its wings. We discuss these findings in the context of how wing adaptations contribute to the insect's ability to thrive in its amphibious lifestyle.

Lymphopoiesis is the generation of the T, B and NK cell lineages from a common lymphoid-biased haematopoietic stem cell. The experimental study of this process has generated a large amount of cellular and molecular data. As a result, there is a considerable number of mathematical and computational models regarding different aspects of lymphopoiesis. We hereby present a regulatory network consisting of 95 nodes and 202 regulatory interactions among them. The network is studied as a qualitative dynamical system, which has as stationary states the molecular patterns reported for CLP, pre-B, B naive, PC, pNK, iNK, NK, DP, CD8 naive, CTL, CD4 naive, Th1, Th2, Th17 and Treg cells. Also, we show that the system is able to respond to specific stimuli to reproduce the ontogeny of the T, B and NK cell lineages.

Today there are two dominant paradigms in Biology: the idea that 'Life is Chemistry' and the idea that 'Life is Chemistry plus Information'. There is also a third paradigm, the idea that 'Life is Chemistry, Information and Meaning' but today this is a minority view, despite the fact that meaning is produced by codes and there is ample experimental evidence that hundreds of codes exist in living systems. This is because that evidence has not yet reached the university books, but what exists in nature is bound to exist, one day, also in our books and at that point the codes will become an integral part of biology. This paper is a brief description of the key concepts of that third paradigm that has become known as Code Biology.

Infodynamics is the study of how information behaves and changes within a system during its development. This study investigates the insights that informational analysis can provide regarding the ramifications predicted by constructal design. First, infodynamic neologisms informature, defined as a measure of the amount of information in indeterminate physical systems, and infotropy - contextualized informature representing the degree of transformation of indeterminate physical systems - are introduced. Flow architectures can be designed using either symmetric or asymmetric branching. The infodynamic analysis of symmetric branching revealed diminishing returns in information content, demonstrating that informature serves as a measure of diversity. These findings align with the principle of "few large and many small, but not too many," which is consistent with higher thermofluid performance. The Performance Scaled Svelteness Ψ expresses the ability of the flow architecture to promote thermofluid performance. By contextualizing the informature with Ψ, a performance infotropy that quantifies the degree of transformation associated with the link between thermofluid performance and diversity in the ramified flow structure is obtained. A predicted growth and decay effect with increasing branching levels leads to a local maximum, highlighting that the evolutionary direction of the ramifications is inversely proportional to the scale of the environment in which the flow structure develops. Assuming an evolutionary trend toward maximum infodynamic complexity, a pattern of asymmetric ramifications emerges, similar to the sap distribution in leaves or branching of trees.

As an important part of lipid metabolism the liver produces large particles called very low density lipoproteins, filled mostly with triglyceride and cholesterol esters mixture. A large percentage of the mixture composition components has a melting point above physiological temperature. Thus solid cluster formation or phase transition could be expected. Though various single-component triglyceride systems are well researched both experimentally and by various simulation techniques, to our best knowledge, tripalmitin/cholesteryl-palmitate binary mixture was not yet studied. We study tripalmitin single component system, as well as 20%-80% and 50%-50% binary mixtures of cholesteryl-palmitate and tripalmitin using molecular dynamics approach. All systems are studied at the pressure of 1 atm and the physiological temperature of 310 K, which is below the melting points of both tripalmitin and cholesteryl-palmitate. Our results show that at the time of 1000 ns, there is still no phase transition, but there is a noticeable tendency to intermolecular organizing and early signs of clustering. We check fatty acid arrangements of tripalmitin molecules in both single component system and binary mixtures with two different percentages of cholesteryl-palmitate mixed in. Our results show that the more cholesteryl-palmitate molecules are in the mixture the smaller number of tripalmitin molecules transitions to 'a fork/chair' configuration during the same calculation time. Calculated angle distributions between fatty acid chains of tripalmitin molecules confirm that. Thus, our simulation results suggest slowing down or interfering effect of cholesteryl-palmitate on the crystallizing process of the binary mixture.

The presumption that experiential consciousness requires a nervous system and brain has been central to the debate on the possibility of developing a conscious form of artificial intelligence (AI). The likelihood of future AI consciousness or devising tools to assess its presence has focused on how AI might mimic brain-centered activities. Currently, dual general assumptions prevail: AI consciousness is primarily an issue of functional information density and integration, and no substantive technical barriers exist to prevent its achievement. When the cognitive process that underpins consciousness is stipulated as a cellular attribute, these premises are directly contradicted. The innate characteristics of biological information and how that information is managed by individual cells have no parallels within machine-based AI systems. Any assertion of computer-based AI consciousness represents a fundamental misapprehension of these crucial differences.

A prebiotic model, based in the framework of thermodynamic efficiency loss from small dissipative eukaryote organisms is developed to describe the maximum possible concentration of solar power to be dissipated on topological circular molecules structures encapsulated in lipid-walled vacuoles, which floated in the Archean oceans. By considering previously, the analysis of 71 species examined by covering 18 orders of mass magnitude from the Megapteranovaeangliae to Saccharomyces cerevisiae suggest that in molecular structures of smaller masses than any living being known nowadays, the power dissipation must be directly proportional to the power of the photons of solar origin that impinge them to give rise to the formation of more complex self-assembled molecular structures at the prebiotic stage by a quantum mechanics model of resonant photon wavelength excitation. The analysis of 12 circular molecules (encapsulated in lipid-walled vacuoles) relevant to the evolution of life on planet Earth such as the five nucleobases, and some aromatic molecules as pyrimidine, porphyrin, chlorin, coumarin, xanthine, etc., were carried out. Considering one vacuole of each type of molecule per square meter of the ocean's surface of planet Earth (1.8∗10¹⁵ vacuoles), their dissipative operation would require only 10^-10 times the matter used by the biomass currently existing on Earth. Relevant numbers (10²⁰-10²¹) for the annual dissipative cycles corresponding to high energy photo chemical events, which in principle allow the assembling of more complex polymers, were obtained. The previous figures are compatible with some results obtained by followers of the primordial soup theory where under certain suppositions about the Archean chemical kinetical changes on the precursors of RNA and DNA try to justify the formation rate of RNA and DNA components and the emergence of life within a 10-million-year window, 3.5 billion years ago. The physical foundation perspective and the simplicity of the proposed approach suggests that it can serve as a possible template for both, the development of new kind of experiments, and for prebiotic theories that address self-organization occurring inside such vacuoles. Our model provides a new way to conceptualize the self-production of simple cyclic dissipative molecular structures in the Archean period of planet Earth. © 2017 ElsevierInc.Allrightsreserved.

Explaining the emergence of life is perhaps the central and most challenging question in modern science. We are proposing a new hypothesis concerning the origins of life. The new hypothesis is based on the assumption that during the emergence of life, evolution had to first involve autocatalytic systems which only subsequently acquired the capacity of genetic heredity. Additionally, the key abiotic and early biotic molecules required in the formation of early life, like cofactors, coenzymes, nucleic bases, prosthetic groups, polycyclic aromatic hydrocarbons (PAHs), some pigments, etc. are poorly soluble in aqueous media. To avoid the latter concentration problem, the new hypothesis assumes that life could have emerged in the nonpolar environments or low water systems, or at the interphase of the nonpolar and polar water phase, from where it was subsequently transferred to the aqueous environment. To support our hypothesis, we assume that hydrocarbons and oil on the Earth have abiotic origins.

Subterranean termites build complex underground tunnel networks to efficiently gather food. Empirical observations indicate specific individuals are dedicated to tunneling, rarely interchanging tasks. However, considering the limited tunneling energy of termite populations, it is reasonable to expect regular task shifts between fatigued and rested individuals to maintain continuous tunneling and optimize foraging. To explore this disparity, we developed a sophisticated individual-based model simulating the termite tunneling process in two scenarios: one with task shifting and one without. In the task shift scenario, the initial group of termites excavates the tunnel, expends all their energy, and returns to the nest. A new group is then deployed to the tunnel tip to continue the excavation, collectively creating the final tunnel pattern. In the no task shift scenario, the initial group completes the tunneling without transitioning to subsequent groups. We compared the tunnel patterns of these two scenarios, focusing on tunnel directionality and size. The comparison revealed statistically no significant difference in tunnel directionality between the scenarios. However, the tunnel size was notably larger in the absence of task shift, suggesting that continuous tunneling without task shift may enhance food searching efficiency. In the discussion section, we briefly address the limitations of the model arising from differences between the simulations and actual termite systems. Additionally, we touch on the idea to explain the fact that only a fixed proportion of workers in a termite colony participate in tunneling activities.