文献类型：期刊文献

英文题名：Reconstruction and analysis of the genome-scale metabolic network of Candida glabrata

作者：Xu, Nan[1,2];Liu, Liming[1,2];Zou, Wei[1,2];Liu, Jie[1,2];Hua, Qiang[3];Chen, Jian[1,2]

机构：[1]Jiangnan Univ, State Key Lab Food Sci & Technol, Wuxi 214122, Jiangsu, Peoples R China;[2]Jiangnan Univ, Sch Biotechnol, Key Lab Ind Biotechnol, Minist Educ, Wuxi 214122, Jiangsu, Peoples R China;[3]E China Univ Sci & Technol, State Key Lab Bioreactor Engn, Shanghai 200237, Peoples R China

年份：2013

卷号：9

期号：2

起止页码：205

外文期刊名：MOLECULAR BIOSYSTEMS

收录：;WOS:【SCI-EXPANDED(收录号:WOS:000312945700005)】；

基金：The author would like to thank Dr Jens Nielsen, Professor at Chalmers University of Technology, for technological help on the model reconstruction. This work was supported by a grant from National Natural Science Foundation of China (31270079), the Program for Young Talents in China, Jiangsu Province Natural Science Funds for Distinguished Young Scholar (BK2012002).

语种：英文

摘要：Candida glabrata has been recognized as an efficient industrial microorganism for the production of pyruvate, the most widely used alpha-oxocarboxylic acid in the areas of agrochemicals, drugs, and chemicals. To gain a comprehensive understanding of its physiology and cellular metabolism, the genome-scale metabolic model for C. glabrata (named iNX804), comprising 804 genes, 1287 reactions, and 1025 metabolites, was reconstructed by genome sequence annotation and biochemical data mining. The flux balance analysis data of model iNX804 exhibited good agreement with the experimental data, including the phenotypic data and the carbon flux distribution. The model iNX804 predicted that C. glabrata can synthesize a high concentration of pyruvate because it has a strong glucose transport capacity and three pyruvate biosynthesis pathways and is deficient in key steps in vitamin synthesis. Furthermore, the metabolic capacity of pyruvate and other fine chemicals derived from pyruvate was evaluated by in silico deletion and overexpression of several key genes. The metabolic model iNX804 provides a potential platform for global elucidation of the metabolism of C. glabrata.