A Caenorhabditis elegans Genome-Scale Metabolic Network Model.
A Caenorhabditis elegans Genome-Scale Metabolic Network Model.
复制标题
秀丽隐杆线虫基因组规模代谢网络模型。
DOI：
10.1016/j.cels.2016.04.012
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发表时间：
2016
期刊：
影响因子：
9.3
通讯作者：
Walhout,AlberthaJM
中科院分区：
文献类型：
--
作者：
Yilmaz,LSafak;Walhout,AlberthaJM
秀丽隐杆线虫是研究代谢及其与营养、基因表达和生活史性状关系的有力模型。然而，尽管有许多实验技术可以干扰其饮食和基因功能，但一直缺乏高质量的代谢网络模型。在这里，我们重建了秀丽隐杆线虫代谢网络的初始版本。这个网络模型包含1,273个基因、623种酶和1,985个代谢反应，被称为iCEL 1, 273。利用通量平衡分析，我们表明iCEL 1273能够代表生长过程中细菌生物量向秀丽隐杆线虫生物量的转化，并能够预测基因必要性和其他表型。此外，我们证明，基因表达数据可以整合与模型比较代谢重布线在dauer动物与成长的幼虫。iCEL 1273可在专门的网站（wormflux.umassmed.edu）上获得，并将使不同的宏量和微量营养素有助于动物生理学的机制得以解开。
Caenorhabditis elegansis a powerful model to study metabolism and how it relates to nutrition, gene expression, and life history traits. However, while numerous experimental techniques that enable perturbation of its diet and gene function are available, a high-quality metabolic network model has been lacking. Here, we reconstruct an initial version of theC. elegansmetabolic network. This network model contains 1,273 genes, 623 enzymes, and 1,985 metabolic reactions and is referred to as iCEL1273. Using flux balance analysis, we show that iCEL1273 is capable of representing the conversion of bacterial biomass intoC. elegansbiomass during growth and enables the predictions of gene essentiality and other phenotypes. In addition, we demonstrate that gene expression data can be integrated with the model by comparing metabolic rewiring in dauer animals versus growing larvae. iCEL1273 is available at a dedicated website (wormflux.umassmed.edu) and will enable the unraveling of the mechanisms by which different macro- and micronutrients contribute to the animal's physiology.