Evolutionary design on a budget: robustness and optimality of bacteriophage T7.
نویسندگان
چکیده
Exploring how biological systems have been 'designed' by evolution to achieve robust behaviours is now a subject of increasing research effort. Yet, it still remains unclear how environmental factors may contribute to this process. This issue is addressed by employing a detailed computer model for the intracellular growth of phage T7. More than 150 000 in silico T7 mutants were generated and the rates and efficiencies of their growth in two host environments, namely, a realistic environment that offered finite host resources for the synthesis of phage functions and a hypothetical environment where the phage was supplied infinite host resources, were evaluated. Results revealed two key properties of phage T7. First, T7 growth was overall robust with respect to perturbations in its parameters, but fragile with respect to changes in the ordering of its genetic elements. Secondly, the wild-type T7 had close to optimal fitness in the finite environment. Furthermore, a strong correlation was found between fitness and growth efficiency in the finite environment. The results underscore the potential importance of the environment in shaping robust design of a biological system. In particular, the strong correlation between fitness and growth efficiency suggests that T7 may have evolved to maximise its growth rate by minimising waste of finite resources.
منابع مشابه
A New Combination of Robust-possibilistic Mathematical Programming for Resilient Supply Chain Network under Disruptions and Uncertainty: A Real Supply Chain (RESEARCH NOTE)
Nowadays, the design of a strategic supply chain network under disruption is one of the most important priorities of the governments. One of the strategic purposes of managers is to supply the sustainable agricultural products and food in stable conditions which require the production of soil nutrients. In this regard, some disruptions such as sanctions and natural disasters have a destructive ...
متن کاملLysis Time, Optimality, and the Genetics of Evolution in a T7 Phage Model System. Lysis Time, Optimality, and the Genetics of Evolution in a T7 Phage Model System
This is for T7 bacteriophage. You may not have evolved to a quantitative optimum, but no matter how many times I kicked you, you kept standing right back up. v 9 3 B Acknowledgements I do not and could not thank my parents, Lucinda and Richard Heineman, enough for all they have done for me. They have always encouraged and supported me in whatever I tried, and put up with an incessant stream of ...
متن کاملOPTIMAL DESIGN OF REINFORCED CONCRETE ONE-WAY RIBBED SLABS USING IMPROVED TIME EVOLUTIONARY OPTIMIZATION
In this paper, a new robust metaheuristic optimization algorithm called improved time evolutionary optimization (ITEO) is applied to design reinforced concrete one-way ribbed slabs. Geometric and strength characteristics of concrete slabs are considered as design variables. The optimal design is such that in addition to achieving the minimum cost, all design constraints are satisfied under Amer...
متن کاملCONSTRUCTION OF RECOMBINANT PLASMIDS FOR PERIPLASMIC EXPRESSION OF HUMAN GROWTH HORMONE IN ESCHERICHIA COLI UNDER T7 AND LAC PROMOTERS
In order to study the periplasmic expression of human growth hormone (hGH) in Escherichia coli, the related cDNA was inserted in two expression plasmids carrying pelB signal peptide, one with lac bacterial promoter and the other with a bacteriophage T7-based promoter. The recombinant plasmids were moved to TG1 and BL21 strains of E. coli, respectively. To induce the expression systems, IPTG and...
متن کاملTrade-off between Optimality and Robustness: An Evolutionary Multiobjective Approach
In real-world applications, it is often desired that a solution is not only of high performance, but also of strong robustness. In evolutionary optimization, robust optimal solutions can be obtained either by averaging the fitness in the neighborhood or by perturbing the design variables in fitness evaluations. Unfortunately, only one solution can usually be obtained from one run of optimizatio...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Systems biology
دوره 153 2 شماره
صفحات -
تاریخ انتشار 2006