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多个反馈回路实现了果蝇体节发育中无翅表达的稳健定位。

Multiple feedback loops achieve robust localization of wingless expression in Drosophila notum development.

机构信息

Department of Biology, Faculty of Sciences, Kyushu University, Higashi-ku, Fukuoka, Japan.

出版信息

J Theor Biol. 2012 Jan 7;292:18-29. doi: 10.1016/j.jtbi.2011.09.022. Epub 2011 Sep 24.

Abstract

Organ morphogenesis starts with the spatial patterning of different gene expressions in organ primordia, which is based on positional information provided by morphogens. To generate precise positional information, the robust localization of morphogen sources is needed. This can be realized by several different mechanisms, such as (i) by reducing the variations in spatial arrangement of morphogen sources, (ii) by reducing the variations in their source levels, and (iii) by increasing the degree of source localization with the sharp boundary that makes morphogen gradients steeper. Here we focus on the mechanism of localization of wingless expression, one of the important morphogens in Drosophila notum development. The mechanism of wingless-localization can be explained by a simple feed-forward loop network motif, but the real molecular network adopted by the organism is much more complex; it includes multiple feedback loops that function with the feed-forward loop in a coordinated manner. To clarify the functions of the molecular network, we decompose it into three sub-modules, each of which includes a single feedback loop, and examine their possible roles using a mathematical model. We demonstrate how the regulatory network for wingless expression realizes the conditions (i)-(iii) for its robust localization.

摘要

器官形态发生始于器官原基中不同基因表达的空间模式,这基于形态发生因子提供的位置信息。为了生成精确的位置信息,需要稳健的形态发生因子源定位。这可以通过几种不同的机制来实现,例如 (i) 通过减少形态发生因子源的空间排列变化,(ii) 通过减少它们的源水平变化,以及 (iii) 通过增加源定位的程度和具有使形态发生因子梯度变陡的锐利边界。在这里,我们重点研究了果蝇背部发育中重要的形态发生因子之一——无翅表达的定位机制。无翅定位的机制可以用一个简单的前馈环网络基元来解释,但生物体采用的真实分子网络要复杂得多;它包括多个反馈环,这些反馈环与前馈环协同作用。为了阐明分子网络的功能,我们将其分解为三个子模块,每个子模块都包含一个单独的反馈环,并使用数学模型检查它们的可能作用。我们展示了无翅表达的调控网络如何实现其稳健定位的条件 (i)-(iii)。

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