文献类型： 外文期刊
作者： Gao, Yonggang 1 ; Zhao, Cheng 1 ;
作者机构： 1.Chinese Acad Agr Sci, Agr Genom Inst,Minist Agr & Rural Affairs, Shenzhen Branch,Key Lab Synthet Biol, Guangdong Lab Lingnan Modern Agr, Shenzhen, Peoples R China
关键词： plants; multiomics; metabolic models; metabolic networks; development and challenges
期刊名称：FRONTIERS IN PLANT SCIENCE （ 影响因子：4.8； 五年影响因子：5.7 ）
ISSN： 1664-462X
年卷期： 2024 年 15 卷
页码：
收录情况： SCI
摘要： Plant growth and development are characterized by systematic and continuous processes, each involving intricate metabolic coordination mechanisms. Mathematical models are essential tools for investigating plant growth and development, metabolic regulation networks, and growth patterns across different stages. These models offer insights into secondary metabolism patterns in plants and the roles of metabolites. The proliferation of data related to plant genomics, transcriptomics, proteomics, and metabolomics in the last decade has underscored the growing importance of mathematical modeling in this field. This review aims to elucidate the principles and types of metabolic models employed in studying plant secondary metabolism, their strengths, and limitations. Furthermore, the application of mathematical models in various plant systems biology subfields will be discussed. Lastly, the review will outline how mathematical models can be harnessed to address research questions in this context.
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