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EVOLUTION AND BIFURCATION OF DEVELOPMENTAL PROGRAMS.发育程序的进化与分支
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2
PERSPECTIVE: COMPLEX ADAPTATIONS AND THE EVOLUTION OF EVOLVABILITY.视角:复杂适应与进化能力的演变
Evolution. 1996 Jun;50(3):967-976. doi: 10.1111/j.1558-5646.1996.tb02339.x.
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Does evolutionary theory need a rethink?进化理论需要重新思考吗?
Nature. 2014 Oct 9;514(7521):161-4. doi: 10.1038/514161a.
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Niche construction initiates the evolution of mutualistic interactions.小生境构建引发了互利共生关系的进化。
Ecol Lett. 2014 Oct;17(10):1257-64. doi: 10.1111/ele.12331. Epub 2014 Jul 17.
5
Evolution of early development in dipterans: reverse-engineering the gap gene network in the moth midge Clogmia albipunctata (Psychodidae).双翅目昆虫早期发育的演化:反向构建白纹蛾蠓(蛾蠓科)的间隙基因网络
Biosystems. 2014 Sep;123:74-85. doi: 10.1016/j.biosystems.2014.06.003. Epub 2014 Jun 6.
6
Niche construction, genetic evolution and cultural change.生态位构建、基因进化与文化变迁。
Behav Processes. 1995 Dec;35(1-3):195-205. doi: 10.1016/0376-6357(95)00055-0.
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Bioattractors: dynamical systems theory and the evolution of regulatory processes.生物吸引子:动力系统理论与调节过程的演化
J Physiol. 2014 Jun 1;592(11):2267-81. doi: 10.1113/jphysiol.2014.272385.
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The uncommon roles of common gene regulatory factors in the genomes of differentiating cells.常见基因调控因子在分化细胞基因组中的非常见作用。
EMBO J. 2014 Jun 2;33(11):1193-4. doi: 10.1002/embj.201488693. Epub 2014 Apr 30.
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Classification of transient behaviours in a time-dependent toggle switch model.时间依赖型双稳开关模型中瞬态行为的分类
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A perspective on micro-evo-devo: progress and potential.微观进化发育视角:进展与潜力。
Genetics. 2013 Nov;195(3):625-34. doi: 10.1534/genetics.113.156463.

《彗星来了:不断演进的发育系统》

The Comet Cometh: Evolving Developmental Systems.

作者信息

Jaeger Johannes, Laubichler Manfred, Callebaut Werner

机构信息

EMBL/CRG Research Unit in Systems Biology, Centre for Genomic Regulation (CRG), Barcelona, Spain ; Universitat Pompeu Fabra, Barcelona, Spain ; Wissenschaftskolleg zu Berlin, Berlin, Germany.

School of Life Sciences, Arizona State University, Tempe, AZ USA ; Santa Fe Institute, Santa Fe, NM USA ; Marine Biological Laboratory, Woods Hole, MA USA ; Max Planck Institute for the History of Science, Berlin, Germany ; The KLI Institute, Klosterneuburg, Austria.

出版信息

Biol Theory. 2015;10(1):36-49. doi: 10.1007/s13752-015-0203-5. Epub 2015 Feb 17.

DOI:10.1007/s13752-015-0203-5
PMID:25798078
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4357653/
Abstract

In a recent opinion piece, Denis Duboule has claimed that the increasing shift towards systems biology is driving evolutionary and developmental biology apart, and that a true reunification of these two disciplines within the framework of evolutionary developmental biology (EvoDevo) may easily take another 100 years. He identifies methodological, epistemological, and social differences as causes for this supposed separation. Our article provides a contrasting view. We argue that Duboule's prediction is based on a one-sided understanding of systems biology as a science that is only interested in functional, not evolutionary, aspects of biological processes. Instead, we propose a research program for an evolutionary systems biology, which is based on local exploration of the configuration space in evolving developmental systems. We call this approach-which is based on reverse engineering, simulation, and mathematical analysis-the natural history of configuration space. We discuss a number of illustrative examples that demonstrate the past success of local exploration, as opposed to global mapping, in different biological contexts. We argue that this pragmatic mode of inquiry can be extended and applied to the mathematical analysis of the developmental repertoire and evolutionary potential of evolving developmental mechanisms and that evolutionary systems biology so conceived provides a pragmatic epistemological framework for the EvoDevo synthesis.

摘要

在最近的一篇观点文章中,丹尼斯·杜布勒声称,向系统生物学的日益转变正在使进化生物学和发育生物学分道扬镳,而且在进化发育生物学(EvoDevo)框架内这两个学科真正重新统一可能很容易再需要100年时间。他将方法学、认识论和社会差异视为这种所谓分离的原因。我们的文章提出了一种截然不同的观点。我们认为,杜布勒的预测基于对系统生物学的片面理解,即认为系统生物学只是一门只对生物过程的功能而非进化方面感兴趣的科学。相反,我们提出了一个进化系统生物学的研究计划,该计划基于对不断进化的发育系统中构型空间的局部探索。我们将这种基于逆向工程、模拟和数学分析的方法称为构型空间的自然史。我们讨论了一些说明性例子,这些例子表明在不同生物背景下,与全局映射相反,局部探索过去取得了成功。我们认为,这种务实的探究模式可以扩展并应用于对不断进化的发育机制的发育指令库和进化潜力的数学分析,而且如此构想的进化系统生物学为EvoDevo综合提供了一个务实的认识论框架。