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Cell Journal، جلد ۱۹، شماره ۳، صفحات ۳۴۳-۳۵۱

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عنوان انگلیسی Stochastic Cell Fate and Longevity of Offspring
چکیده انگلیسی مقاله Objective: Cellular decision-making is a key process in which cells with similar genetic and environmental properties decide on their fate. This stochastic process, which happens in eukaryotes and prokaryotes cells as well as stem cells, causes cellular diversities and phenotypic variations. On the other hand, fitness predicts and describes changes in the genetic composition of populations throughout evolutionary period. Also, fitness is apparently defined by the ability of organisms to adapt and produce survived offspring. Here, we present a mathematical model to predict the fitness of a cell which adresss fundamental phenotypic variation problem. We study a basic decision-making problem where bacteriophage lambda reproduces, in E. coli, as single cell organism, using both the lytic and the lysogenic pathways. In the lytic pathway, the bacteriophage replicates itself within the host bacterium. This fast replication overcrowds and destroys the host bacterium. In the lysogenic pathway, the bacteriophage inserts its DNA into the host bacterium DNA, and thus its DNA will be replicated during replication of the host bacterium. Here, we present a mathematical model to predict the fitness of a cell in a fundamental phenotypic variation problem. We study a basic decision-making problem where bacteriophage lambda reproduces, in E. Coli, as single cell organism, using both the lytic and the lysogenic pathways. In the lytic pathway, the bacteriophage replicates itself within the host bacterium. This fast replication overcrowds and destroys the host bacterium. In the lysogenic pathway, the bacteriophage inserts its DNA into the host bacterium DNA, and thus its DNA will be replicated during replication of the host bacterium. Materials and methods: In this theoretical study, we propose a predictive model for estimation of the fitness as the index of survived offspring. We also propose a mathematical model based on game theory to elucidate a rationale behind cell decision. We explain that stochastic decision about fate seems to maximize the expected number of survived offspring. Results: In our study, we leverage experimental data to validate the predictive power of our model. Our findings indicate that a rational decision, that is aimed to maximize life expectancy of offspring, is almost the same as that of bacteriophage behavior reported in our experiments. Conclusion: In our study, we leverage experimental data to validate the predictive power of our model. Our findings indicate that a rational decision, that is aimed to maximize life expectancy of offspring, is almost the same as that of bacteriophage behavior reported in our experiments.
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نویسندگان مقاله | Faezeh Dorri


| Hamid Pezeshk


| Mehdi Sadeghi



نشانی اینترنتی http://celljournal.org/journal/article/abstract/3919
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