The Inheritance of Process: A Dynamical Systems Approach

被引:36
|
作者
Jaeger, Johannes [1 ]
Irons, David [2 ]
Monk, Nick [3 ]
机构
[1] UPF, CRG, EMBL CRG Res Unit Syst Biol, Barcelona 08003, Spain
[2] Univ Sheffield, Sch Math & Stat, Sheffield, S Yorkshire, England
[3] Univ Nottingham, Sch Math Sci, Nottingham NG7 2RD, England
基金
英国工程与自然科学研究理事会;
关键词
GENE REGULATORY NETWORKS; UNDERLYING WING POLYPHENISM; PATTERN-FORMATION; EVO-DEVO; DEVELOPMENTAL CONSTRAINTS; MUTATIONAL ROBUSTNESS; EVOLUTION; EVOLVABILITY; MODEL; MECHANISMS;
D O I
10.1002/jez.b.22468
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
A central unresolved problem of evolutionary biology concerns the way in which evolution at the genotypic level relates to the evolution of phenotypes. This genotypephenotype map involves developmental and physiological processes, which are complex and not well understood. These processes co-determine the rate and direction of adaptive change by shaping the distribution of phenotypic variability on which selection can act. In this study, we argueexpanding on earlier ideas by Goodwin, Oster, and Alberchthat an explicit treatment of this map in terms of dynamical systems theory can provide an integrated understanding of evolution and development. We describe a conceptual framework, which demonstrates how development determines the probability of possible phenotypic transitionsand hence the evolvability of a biological system. We use a simple conceptual model to illustrate how the regulatory dynamics of the genotypephenotype map can be passed on from generation to generation, and how heredity itself can be treated as a dynamic process. Our model yields explanations for punctuated evolutionary dynamics, the difference between micro- and macroevolution, and for the role of the environment in major phenotypic transitions. We propose a quantitative research program in evolutionary developmental systems biologycombining experimental methods with mathematical modelingwhich aims at elaborating our conceptual framework by applying it to a wide range of evolving developmental systems. This requires a large and sustained effort, which we believe is justified by the significant potential benefits of an extended evolutionary theory that uses dynamic molecular genetic data to reintegrate development and evolution. J. Exp. Zool. (Mol. Dev. Evol.) 9999B:591612, 2012. (c) 2012 Wiley Periodicals, Inc.
引用
收藏
页码:591 / 612
页数:22
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