Plant genome-scale metabolic networks

被引:2
|
作者
Gerlin, Leo [1 ]
Frainay, Clement [2 ]
Jourdan, Fabien [2 ]
Baroukh, Caroline [1 ]
Prigent, Sylvain [3 ]
机构
[1] Univ Toulouse, CNRS, INRAE, LIPM, Castanet Tolosan, France
[2] Univ Toulouse, Toxalim Res Ctr Food Toxicol, INRAE, ENVT,INP Purpan,UPS, Toulouse, France
[3] Univ Bordeaux, Bordeaux Metabolome, UMR 1332, INRAE,MetaboHUB,PHENOME, Villenave Dornon, France
来源
关键词
SYSTEMS BIOLOGY; MODEL; RECONSTRUCTION; ARABIDOPSIS; LIGHT; VISUALIZATION; PATHWAYS; ENZYMES; RICE;
D O I
10.1016/bs.abr.2020.09.021
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
With the development of plant metabolomics, projects like the 10,000 plants genome sequencing project and the growth of other omics, the amount of data describing plant metabolism has never been so big. Genome-scale metabolic models (GEMs) are widely used to integrate and study the available information, and to better understand global responses to metabolic changes. In the first part of this chapter, we will focus on the existing plant GEMs, their history, and the biological questions associated with their reconstruction. Those GEMs were initially reconstructed based on cell suspension systems, but current reconstructions are widely focused on multiorgans and multitissues models, requiring some model integration. Model integration is the focus of the second part of this chapter, with the study of biotic interactions with the integration of GEMs coming from plant-interacting microorganisms and their host plants, modeling either pathogenic and symbiotic interactions. Emphasis will be placed on modeling quantitative interaction between plants and microorganisms. Finally, the third part of this chapter describes how the visualization of networks could be used to improve the understanding of the models and the integration of different omics data, and how good representation of metabolic networks can help the user to perform diverse tasks and put knowledge in context.
引用
收藏
页码:237 / 270
页数:34
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