Rational association of genes with traits using a genome-scale gene network for Arabidopsis thaliana.
Rational association of genes with traits using a genome-scale gene network for Arabidopsis thaliana.
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DOI：
10.1038/nbt.1603
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发表时间：
2010-02
影响因子：
46.9
通讯作者：
中科院分区：
文献类型：
--
作者：
植物是食物、纤维和可再生能源的重要来源。操纵植物性状的有效方法具有重要的农业和经济意义。我们介绍了一种利用基因组尺度的功能网络和靶向反向遗传筛选相结合的基因与植物性状关联的合理方法。我们提出了一个关于参考开花植物拟南芥19647个（73%）基因功能关联的概率网络（AraNet）。对于55%的基因，AraNet关联的测量精度高于基于文献的蛋白质相互作用（21%），并且对多种生物途径具有高度预测性。使用AraNet，我们发现在鉴定早期幼苗发育基因方面富集了10倍。通过查询网络邻域，我们确定了At1g80710（现在是干旱敏感基因1；Drs1）和At3g05090（现在是侧根刺激基因1；Lrs1）分别是干旱敏感性和侧根发育的新调控因子。AraNet （http://www.functionalnet.org/aranet/）为植物基因功能鉴定和植物性状遗传解剖提供了一个全球性的资源。
Plants are essential sources of food, fiber and renewable energy. Effective methods for manipulating plant traits have important agricultural and economic consequences. We introduce a rational approach for associating genes with plant traits by combined use of a genome-scale functional network and targeted reverse genetic screening. We present a probabilistic network (AraNet) of functional associations among 19,647 (73%) genes of the reference flowering plant Arabidopsis thaliana. AraNet associations have measured precision greater than literature-based protein interactions (21%) for 55% of genes, and are highly predictive for diverse biological pathways. Using AraNet, we found a 10-fold enrichment in identifying early seedling development genes. By interrogating network neighborhoods, we identify At1g80710 (now Drought sensitive 1; Drs1) and At3g05090 (now Lateral root stimulator 1; Lrs1) as novel regulators of drought sensitivity and lateral root development, respectively. AraNet (http://www.functionalnet.org/aranet/) provides a global resource for plant gene function identification and genetic dissection of plant traits.
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影响因子：
14.9
作者：
Cui, Jian;Li, Peng;Li, Guang;Xu, Feng;Zhao, Chen;Li, Yuhua;Yang, Zhongnan;Wang, Guang;Yu, Qingbo;Li, Yixue;Shi, Tieliu
通讯作者：
Shi, Tieliu
影响因子：
12.3
作者：
Fraser HB;Plotkin JB
通讯作者：
Plotkin JB
影响因子：
13.8
作者：
Dandekar, T;Snel, B;Bork, P
通讯作者：
Bork, P
影响因子：
56.9
作者：
Alonso, JM;Stepanova, AN;Ecker, JR
通讯作者：
Ecker, JR
影响因子：
64.8
作者：
Gavin, AC;Aloy, P;Superti-Furga, G
通讯作者：
Superti-Furga, G