Deciphering the Palimpsest: Studying the Relationship Between Morphological Integration and Phenotypic Covariation.

Deciphering the Palimpsest: Studying the Relationship Between Morphological Integration and Phenotypic Covariation.
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DOI:
10.1007/s11692-009-9076-5
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发表时间:
2009-12
影响因子:
2.5
通讯作者:
Marcucio, Ralph S.
Marcucio, Ralph S.
中科院分区:
生物学2区
文献类型:
--
作者:
Hallgrimsson, Benedikt;Jamniczky, Heather;Young, Nathan M.;Rolian, Campbell;Parsons, Trish E.;Boughner, Julia C.;Marcucio, Ralph S.

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生物体是由复杂的解剖结构和个体组成的,它们必须在发育过程中保持功能联系。这种功能相关的身体部位之间的变化的整合和发展的模块化组织是它们可进化性的基本决定因素。这是因为整合导致协调变异的表达,这可以为进化变化创造优先方向,而模块化使一组特征或区域的变异能够积累,而不会对生物体的其他方面产生有害影响。利用我们自己对模型系统(例如,实验室小鼠,鸟类)和啮齿动物和灵长类动物的自然种群的研究,我们在本文中探讨了表型共变模式与这些模式所反映的整合的发育决定因素之间的关系。我们表明,整合不能通过表型协方差模式单独可靠地研究,并认为表型协方差和整合之间的关系在两个方面被模糊。一个是复杂系统中多个协方差决定因素的叠加,另一个是协方差产生过程中协方差结构对方差的依赖。因此,我们认为对模型系统中整合的发育决定因素的直接研究对于充分解释自然种群的共变模式,将共变模式与产生它们的过程联系起来,并理解它们对进化解释的意义是必要的。
Organisms represent a complex arrangement of anatomical structures and individuated parts that must maintain functional associations through development. This integration of variation between functionally related body parts and the modular organization of development are fundamental determinants of their evolvability. This is because integration results in the expression of coordinated variation that can create preferred directions for evolutionary change, while modularity enables variation in a group of traits or regions to accumulate without deleterious effects on other aspects of the organism. Using our own work on both model systems (e.g., lab mice, avians) and natural populations of rodents and primates, we explore in this paper the relationship between patterns of phenotypic covariation and the developmental determinants of integration that those patterns are assumed to reflect. We show that integration cannot be reliably studied through phenotypic covariance patterns alone and argue that the relationship between phenotypic covariation and integration is obscured in two ways. One is the superimposition of multiple determinants of covariance in complex systems and the other is the dependence of covariation structure on variances in covariance-generating processes. As a consequence, we argue that the direct study of the developmental determinants of integration in model systems is necessary to fully interpret patterns of covariation in natural populations, to link covariation patterns to the processes that generate them, and to understand their significance for evolutionary explanation.
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