走向杂种优势的系统生物学:拟南芥代谢组的分子网络结构假说。

Sandra Andorf, Tanja Gärtner, Matthias Steinfath, Hanna Witucka-Wall, Thomas Altmann, Dirk Repsilber
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引用次数: 12

摘要

我们提出了一个基于网络结构的杂种优势模型,并根据拟南芥的代谢物谱对其进行了研究。在我们的概念方法中使用了一个简单的前馈两层网络模型(Steinbuch矩阵)。它允许将结构网络特性与生物功能直接联系起来。将杂种优势解释为适应性的增强,我们的模型预测,涉及的生物网络显示出越来越多的调节相互作用的连通性。对代谢物剖面数据的详细分析表明,在我们早期发展的数据中,图形高斯模型的连通性预测是正确的。这反映了观察到的拟南芥杂种表型的特性。此外,该模型还预测了杂合度增加对杂种活力增加的限制——这是文献中已知的现象。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Towards systems biology of heterosis: a hypothesis about molecular network structure applied for the Arabidopsis metabolome.

Towards systems biology of heterosis: a hypothesis about molecular network structure applied for the Arabidopsis metabolome.

Towards systems biology of heterosis: a hypothesis about molecular network structure applied for the Arabidopsis metabolome.

Towards systems biology of heterosis: a hypothesis about molecular network structure applied for the Arabidopsis metabolome.

We propose a network structure-based model for heterosis, and investigate it relying on metabolite profiles from Arabidopsis. A simple feed-forward two-layer network model (the Steinbuch matrix) is used in our conceptual approach. It allows for directly relating structural network properties with biological function. Interpreting heterosis as increased adaptability, our model predicts that the biological networks involved show increasing connectivity of regulatory interactions. A detailed analysis of metabolite profile data reveals that the increasing-connectivity prediction is true for graphical Gaussian models in our data from early development. This mirrors properties of observed heterotic Arabidopsis phenotypes. Furthermore, the model predicts a limit for increasing hybrid vigor with increasing heterozygosity--a known phenomenon in the literature.

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