tailieunhanh - Báo cáo hóa học: " Research Article Adaptive Dynamics of Regulatory Networks: Size Matters"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Adaptive Dynamics of Regulatory Networks: Size Matters | Hindawi Publishing Corporation EURASIP Journal on Bioinformatics and Systems Biology Volume 2009 Article ID 618502 10 pages doi 2009 618502 Research Article Adaptive Dynamics of Regulatory Networks Size Matters Dirk Repsilber 1 Thomas Martinetz 2 and Mats Bjorklund3 1 Department of Genetics and Biometry Research Institute for the Biology of Farm Animals FBN Wilhelm-Stahl Allee 2 D 18196 Dummerstorf Germany 2 Institute for Neuro- and Bioinformatics University of Lubeck Ratzeburger Allee 160 D 23538 Lubeck Germany 3 Department of Animal Ecology Evolutionary Biology Centre University of Uppsala Norbyvagen 18 C 75236 Uppsala Sweden Correspondence should be addressed to Dirk Repsilber Received 30 May 2008 Revised 3 October 2008 Accepted 16 December 2008 Recommended by Matthias Steinfath To accomplish adaptability all living organisms are constructed of regulatory networks on different levels which are capable to differentially respond to a variety of environmental inputs. Structure of regulatory networks determines their phenotypical plasticity that is the degree of detail and appropriateness of regulatory replies to environmental or developmental challenges. This regulatory network structure is encoded within the genotype. Our conceptual simulation study investigates how network structure constrains the evolution of networks and their adaptive abilities. The focus is on the structural parameter network size. We show that small regulatory networks adapt fast but not as good as larger networks in the longer perspective. Selection leads to an optimal network size dependent on heterogeneity of the environment and time pressure of adaptation. Optimal mutation rates are higher for smaller networks. We put special emphasis on discussing our simulation results on the background of functional observations from experimental and evolutionary biology. Copyright 2009 Dirk Repsilber et al. This is an open access article distributed under the Creative .

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