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BioSystems
North-Holland
BioSystems

North-Holland

0303-2647

BioSystems/Journal BioSystemsSCIISTPAHCI
正式出版
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    New way for cell differentiation: Reaction, diffusion and chaotic waves

    Vakulenko, Sergey A.Grigoriev, Dmitry
    10页
    查看更多>>摘要:In this paper, we consider reaction-diffusion systems, which describe the propagation of waves with chaotic and time periodic fronts. Using this property, we show that there exist reaction-diffusion models with a few of reagents, which, by a variation of initial data, is capable to generate all possible one-dimensional cell patterns. We describe algorithms, which allow to obtain any prescribed target cell patterns by chaotic waves. Our model can be considered as a reaction-diffusion analogue of universal Turing machine. So, we propose a new robust mechanism of positional information transfer, which, in contrast to Wolpert' gradients, can work at long distances. Universality of our model helps to explain why genes, responsible for morphogenesis, are highly conservative within long evolution periods.

    Editorial: Petri nets for cellular process modelling

    Matsuno, HiroshiLiu, FeiChen, Ming
    2页

    Fungal electronics

    Adamatzky, AndrewAyres, PhilBeasley, Alexander E.Chiolerio, Alessandro...
    8页
    查看更多>>摘要:Fungal electronics is a family of living electronic devices made of mycelium bound composites or pure mycelium. Fungal electronic devices are capable of changing their impedance and generating spikes of electrical potential in response to external control parameters. Fungal electronics can be embedded into fungal materials and wearables or used as stand alone sensing and computing devices.

    2-adic morphogenesis as a metaphorical model of biological growth

    Ignatov, Victor V.
    12页
    查看更多>>摘要:The article proposes a mathematical model of morphogenesis which is based on 2-adic arithmetic. In this model, the process of morphogenesis is separated from its genetic coding and genetic control, and is considered abstractly as a transformation of complex biomorphic structures resulting from the process of sequential geometric cell division. The concept of cellular structure is introduced and the analogies that exist between the transformation of organisms and the transformation of the corresponding cellular structures generated by numerical series are considered, in particular, an analogy is drawn between the transformation of series depending on a complex parameter and the growth of biological organisms. The article also introduces some mathematical formalism used to compare different morphological pathways.

    On the effects of the modularity of gene regulatory networks on phenotypic variability and its association with robustness

    Hernandez, U.Posadas-Vidales, L.Espinosa-Soto, C.
    9页
    查看更多>>摘要:Biological adaptations depend on natural selection sorting out those individuals that exhibit characters fit to their environment. Selection, in turn, depends on the phenotypic variation present in a population. Thus, evolutionary outcomes depend, to a certain extent, on the kind of variation that organisms can produce through random genetic perturbation, that is, their phenotypic variability. Moreover, the properties of developmental mechanisms that produce the organisms affect their phenotypic variability. Two of these properties are modularity and robustness. Modularity is the degree to which interactions occur mostly within groups of the system's elements and scarcely between elements in different groups. Robustness is the propensity of a system to endure perturbations while preserving its phenotype. In this paper, we used a model of gene regulatory networks (GRNs) to study the relationship between modularity and robustness in developmental processes and how modularity affects the variation that random genetic mutations produce in the expression patterns of GRNs. Our results show that modularity and robustness are correlated in multifunctional GRNs and that selection for one of these properties affects the other as well. We contend that these observations may help to understand why modularity and robustness are widespread in biological systems. Additionally, we found that modular networks tend to produce new expression patterns with subtle changes localized in the expression of a few groups of genes. This effect in the phenotypic variability of modular GRNs may bear important consequences for adaptive evolution: it may help to adjust the expression of one group of genes at a time, with few alterations on other previously evolved expression patterns.

    Coloured fuzzy Petri nets for modelling and analysing membrane systems

    Assaf, GeorgeHeiner, MonikaLiu, Fei
    10页
    查看更多>>摘要:Membrane systems are a very powerful computational modelling formalism inspired by the internal organisation of living cells. Modelling of membrane systems is challenged by composing many structurally similar components, which may result in very large models. Furthermore, some components may suffer from a lack of precise kinetic parameters. PPNC (coloured fuzzy Petri nets) combine coloured Petri nets with fuzzy kinetic parameters, and thus offer an approach to address these challenges. In this paper, we use PPNC to model and simulate membrane systems which are enriched by fuzzy kinetic parameters. We also introduce a methodology and workflow utilising PPNC for modelling and simulating general biological systems which have to cope with incomplete knowledge of their kinetic data.

    Stochasticity in transcriptional, splicing and translational regulations in time and frequency domains

    Giaretta, Alberto
    11页
    查看更多>>摘要:Alternative splicing is one of the most important post-transcriptional regulation. Splicing is essential for the expression of most of the human protein coding genes and is associated with several diseases, comprising cancer. It is also strongly used by minor organisms and several viruses. In the past decades, an extensive mathematical literature was developed to model and analyze gene networks under both deterministic and stochastic formalisms. However, such literature is predominantly focused to deal with the modeling of transcriptional and translational regulation, but its extension to comprise post-transcriptional regulation via splicing and its connection with transcriptional and translational regulation is still almost missing in literature. The aim of this work is to theoretically study and complete the knowledge about a general basic open loop and linear modeling scheme of gene expression via alternative splicing and its connection with transcription and translation, under a stochastic dimension. This study showed the pivotal role of the splicing conversion rates capable to both increase or decrease the stochastic noise, as well as their interconnection with the stochastic bursts in gene expression, autocorrelation and noise power spectra. The study also shows when it is important to model the pre-mRNA degradation or, at least, to account for the conversion rate for more than two mRNA isoforms.

    Order stability via Frohlich condensation in bio, eco, and social systems: The quantum-like approach

    Khrennikov, Andrei
    10页
    查看更多>>摘要:Stability of social and behavioural order in biological, ecological, and social systems is modelled within the formalism of the Fro center dot hlich condensation. The latter is a high temperature analogue of the Bose-Einstein condensation and stability is approached via intensive pumping of energy into a system interacting with a bath. We start with the review of this formalism considering nonequilibrium thermodynamic and quantum frameworks. Although Fro center dot hlich applied this formalism to bio-systems and the physical energy flows (electromagnetic, chemical, vibrational), he pointed out on the possibility to apply it to wider class of systems. We realize this program by using quantum-like modelling in combination with the information approach to biological and social systems, by treating them as information processors and introducing the notion of social energy (with its versions, as, e.g., social and behavioural energy). This formalism is applied to modelling of social stability in the modern open society characterized by powerful flows of information and huge information reservoir based on internet, including the variety of social networks. Then, it is applied to modelling of coherent behaviour in herds and flocks with the illustrative example of wolf packs. The essence of the paper is extracting conditions for the Fro center dot hlich condensation and reformulating them in the purely information framework.

    Identification of Ca2+ oscillations with the 0-1 test for periodic and chaotic time-series: One- and two-parameter bifurcations

    Walczak, MaciejMarszalek, WieslawSadecki, Jan
    7页
    查看更多>>摘要:This paper examines the oscillatory responses (periodic and chaotic) of a biosystem store model for bursting and complex Ca2+ oscillations in which three compartments have been taken into consideration: the cytosol, endoplasmic reticulum (ER) and mitochondria. The oscillatory model is used to examine the reliability of the 0-1 test for chaos in the bifurcation analysis of continuous signals obtained when the frequencies of oscillatory responses vary significantly with a relatively small changes of the bifurcation parameters. The illustrative examples in both the one-and two-parameter cases are designed to show that for a periodic time-series the test's reliability may be questioned when a periodic series is classified as a chaotic one -the 'false-positive' case. To prevent the incorrect result an additional computational work is needed to examine the frequency spectrum of the periodic time-series. The illustrative examples utilize an autonomous dynamical model of cytosolic calcium oscillations with three dynamical variables and sixteen parameters. The dynamical model is such that the frequency of oscillations may change by the factor of about 200, when a certain dynamical system's parameter changes from its minimum to maximum values, making selection of the parameters in the 0-1 test extremely difficult. The extra computational work improves the test's reliability and eliminates the 'false-positive' outcomes of the test. The paper is focused on the computational aspects of the 0-1 test for periodic and chaotic oscillations rather than on the properties of the store model for bursting and complex Ca2+ oscillations.

    The RNase P, LUCA, the ancestors of the life domains, the progenote, and the tree of life

    Di Giulio, Massimo
    5页
    查看更多>>摘要:I have tried to interpret the phylogenetic distribution of the RNase P with the aim of helping to clarify the stage reached by the evolution of cellularity in the Last Universal Common Ancestor (LUCA); that is to say, if the evolutionary stage of the LUCA was represented by a protocell (progenote) or by a complete cell (genote). Since there are several arguments that lead one to believe that only the RNA moiety of the RNase P was present in the LUCA, this might imply that this evolutionary stage was actually the RNA world. If true this would imply that the LUCA was a progenote because the RNA world being a world subject to multiple evolutionary transitions that would involve a high noise at many its levels, which would fall within the definition of the progenote. Furthermore, since RNA-mediated catalysis is much less efficient than protein-mediated catalysis, then the only RNA moiety that was present in the LUCA could imply - by per se, without invoking the existence of the RNA world - that the LUCA was a progenote because an inefficient catalysis might have characterized this evolutionary stage. This evolutionary stage would still fall under the definition of the progenote. In addition, the observation that the protein moieties of the RNase P of bacteria and archaea are not-homologs would imply that these originated independently in the two main phyletic lineages. In turn, this would imply the progenotic nature of the ancestors of both archaea and bacteria. Indeed, it is admissible that such a late origin - in the main phyletic lineages - of the protein moieties of the RNase P is witness to an evolutionary transition towards a more efficient catalysis, evidently made clear precisely by the evolution of the protein moieties of the RNase P which would have helped the RNA of the RNase P to a more efficient catalysis. Hence, this would date that evolutionary moment as a transition to a much more efficient catalysis and consequently would imply which in that evolutionary stage there was the actual transition from the progenotic to genotic status. Finally, this late origin of the RNase P protein moieties in the bacterial and archaeal domains per se could imply the presence of a progenotic stage for their ancestors, or at least that a cell stage would have been much less likely. In fact, it is true that genes can originate both in a cellular and in a progenotic stage, but they mainly typify the latter because they are, by definition, in formation. Then it is expected that in the evolutionary stage of the formation of the main phyletic lineages - that is to say, in an evolutionary time in which the formation of genes might be expected - that the origin of proteins is to be related to a rapid and progressive evolution typical of the progenote precisely because in such an evolutionary stage the origin of genes is more easily and simply explained as reflecting a progenotic rather than a genotic stage. Indeed, if instead the evolutionary stage of the ancestors of bacteria and archaea had been the cellular one, then observing the origin of the protein moieties of the RNase P would have been, to some extent, anomalous because this completion should have already occurred, simply because the transformation of a ribozyme into an enzyme should have already taken place precisely because it falls within the very definition of the cellular status. The conclusion is that both the LUCA and the ancestor of archaea and that of bacteria may have been progenotes. If these arguments were true then either the tree of life as commonly understood would not exist and therefore the main phyletic lineages would have originated directly from the LUCA, or there would have been at least two different populations of progenotes that would have finally defined the domain of bacteria and that of archaea.