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酵母代谢网络中基因相互作用的可塑性

Plasticity of genetic interactions in metabolic networks of yeast.

作者信息

Harrison Richard, Papp Balázs, Pál Csaba, Oliver Stephen G, Delneri Daniela

机构信息

Faculty of Life Sciences, University of Manchester, Michael Smith Building, Oxford Road, Manchester M13 9PT, United Kingdom.

出版信息

Proc Natl Acad Sci U S A. 2007 Feb 13;104(7):2307-12. doi: 10.1073/pnas.0607153104. Epub 2007 Feb 6.

Abstract

Why are most genes dispensable? The impact of gene deletions may depend on the environment (plasticity), the presence of compensatory mechanisms (mutational robustness), or both. Here, we analyze the interaction between these two forces by exploring the condition-dependence of synthetic genetic interactions that define redundant functions and alternative pathways. We performed systems-level flux balance analysis of the yeast (Saccharomyces cerevisiae) metabolic network to identify genetic interactions and then tested the model's predictions with in vivo gene-deletion studies. We found that the majority of synthetic genetic interactions are restricted to certain environmental conditions, partly because of the lack of compensation under some (but not all) nutrient conditions. Moreover, the phylogenetic cooccurrence of synthetically interacting pairs is not significantly different from random expectation. These findings suggest that these gene pairs have at least partially independent functions, and, hence, compensation is only a byproduct of their evolutionary history. Experimental analyses that used multiple gene deletion strains not only confirmed predictions of the model but also showed that investigation of false predictions may both improve functional annotation within the model and also lead to the discovery of higher-order genetic interactions. Our work supports the view that functional redundancy may be more apparent than real, and it offers a unified framework for the evolution of environmental adaptation and mutational robustness.

摘要

为什么大多数基因是可有可无的?基因缺失的影响可能取决于环境(可塑性)、补偿机制的存在(突变稳健性),或者两者皆有。在这里,我们通过探索定义冗余功能和替代途径的合成遗传相互作用的条件依赖性,来分析这两种力量之间的相互作用。我们对酵母(酿酒酵母)代谢网络进行了系统水平的通量平衡分析,以识别遗传相互作用,然后用体内基因缺失研究来检验模型的预测。我们发现,大多数合成遗传相互作用仅限于某些环境条件,部分原因是在某些(但不是所有)营养条件下缺乏补偿。此外,合成相互作用对的系统发育共现与随机预期没有显著差异。这些发现表明,这些基因对至少具有部分独立的功能,因此,补偿只是它们进化历史的一个副产品。使用多个基因缺失菌株的实验分析不仅证实了模型的预测,还表明对错误预测的研究既可以改善模型中的功能注释,也可以导致发现高阶遗传相互作用。我们的工作支持这样一种观点,即功能冗余可能比实际情况更明显,并且它为环境适应和突变稳健性的进化提供了一个统一的框架。

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