Positive selection for elevated gene expression noise in yeast.
Positive selection for elevated gene expression noise in yeast.
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DOI：
10.1038/msb.2009.58
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发表时间：
2009
影响因子：
9.9
通讯作者：
Zhang, Jianzhi
中科院分区：
文献类型：
--
作者：
Zhang, Zhihua;Qian, Wenfeng;Zhang, Jianzhi
众所周知，表达噪音通过对细胞生长重要或对剂量敏感的基因的自然选择而减少。从理论上讲，当有噪声的基因表达是有利的时，自然选择也可以提高表达噪声。在这里，我们分析了酵母全基因组基因表达噪音数据，并表明质膜转运蛋白显示显着升高表达噪音后，控制所有的混杂因素。我们提出了一个模型，解释了为什么以及在什么条件下升高的表达噪音可能是有益的，并受到积极的选择。我们的模型预测和模拟证实，在某些条件下，表达噪声也增加了基因表达的可进化性，通过促进固定有利的表达水平改变突变。事实上，具有较高噪声的酵母基因在表达上表现出更大的菌株间和种间差异，即使排除所有混杂因素。总之，我们的理论模型和实证结果表明，对于酵母基因，如质膜转运蛋白，表达噪音升高是有利的，受到积极的选择，是适应性基因表达进化的促进者。
It is well known that the expression noise is lessened by natural selection for genes that are important for cell growth or are sensitive to dosage. In theory, expression noise can also be elevated by natural selection when noisy gene expression is advantageous. Here we analyze yeast genome-wide gene expression noise data and show that plasma-membrane transporters show significantly elevated expression noise after controlling all confounding factors. We propose a model that explains why and under what conditions elevated expression noise may be beneficial and subject to positive selection. Our model predicts and the simulation confirms that, under certain conditions, expression noise also increases the evolvability of gene expression by promoting the fixation of favorable expression level-altering mutations. Indeed, yeast genes with higher noise show greater between-strain and between-species divergences in expression, even when all confounding factors are excluded. Together, our theoretical model and empirical results suggest that, for yeast genes such as plasma-membrane transporters, elevated expression noise is advantageous, is subject to positive selection, and is a facilitator of adaptive gene expression evolution.
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影响因子：
9.8
作者：
Batada NN;Reguly T;Breitkreutz A;Boucher L;Breitkreutz BJ;Hurst LD;Tyers M
通讯作者：
Tyers M
影响因子：
12.3
作者：
Gentleman RC;Carey VJ;Bates DM;Bolstad B;Dettling M;Dudoit S;Ellis B;Gautier L;Ge Y;Gentry J;Hornik K;Hothorn T;Huber W;Iacus S;Irizarry R;Leisch F;Li C;Maechler M;Rossini AJ;Sawitzki G;Smith C;Smyth G;Tierney L;Yang JY;Zhang J
通讯作者：
Zhang J
影响因子：
56.9
作者：
Landry, Christian R.;Lemos, Bernardo;Hartl, Daniel L.
通讯作者：
Hartl, Daniel L.
影响因子：
64.8
作者：
Becskei, A;Serrano, L
通讯作者：
Serrano, L
影响因子：
64.8
作者：
Dekel, E;Alon, U
通讯作者：
Alon, U