Constraining the metabolic genotype-phenotype relationship using a phylogeny of in silico methods

被引:552
作者
Lewis, Nathan E. [1 ]
Nagarajan, Harish [2 ]
Palsson, Bernhard O. [1 ]
机构
[1] Univ Calif San Diego, Dept Bioengn, La Jolla, CA 92093 USA
[2] Univ Calif San Diego, Bioinformat & Syst Biol Grad Program, La Jolla, CA 92093 USA
基金
美国国家卫生研究院;
关键词
FLUX BALANCE ANALYSIS; ESCHERICHIA-COLI METABOLISM; HAEMOPHILUS-INFLUENZAE RD; NETWORK-BASED PREDICTION; PATHWAY ANALYSIS; OBJECTIVE FUNCTIONS; THERMODYNAMIC ANALYSIS; MICROBIAL-METABOLISM; KNOCKOUT STRATEGIES; GENOME ANNOTATION;
D O I
10.1038/nrmicro2737
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Reconstructed microbial metabolic networks facilitate a mechanistic description of the genotype-phenotype relationship through the deployment of constraint-based reconstruction and analysis (COBRA) methods. As reconstructed networks leverage genomic data for insight and phenotype prediction, the development of COBRA methods has accelerated following the advent of whole-genome sequencing. Here, we describe a phylogeny of COBRA methods that has rapidly evolved from the few early methods, such as flux balance analysis and elementary flux mode analysis, into a repertoire of more than 100 methods. These methods have enabled genome-scale analysis of microbial metabolism for numerous basic and applied uses, including antibiotic discovery, metabolic engineering and modelling of microbial community behaviour.
引用
收藏
页码:291 / 305
页数:15
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