Skip to main content

REVIEW article

Front. Plant Sci.
Sec. Plant Metabolism and Chemodiversity
Volume 15 - 2024 | doi: 10.3389/fpls.2024.1361183
This article is part of the Research Topic Contribution of Phenylpropanoid Metabolism to Plant Development and Stress Responses View all 6 articles

Development and Application of Mathematical Models in Plant Multiomics Research

Provisionally accepted
GAO Yonggang GAO Yonggang 1,2*Fang Xuerui Fang Xuerui 3Wang Zifeng Wang Zifeng 4Zhao Cheng Zhao Cheng 3
  • 1 Inner Mongolia University of Science and Technology, Baotou, China
  • 2 Synthesis Center, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong Province, China
  • 3 Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong Province, China
  • 4 College of Life Sciences, National Chung Hsing University, Taichung, Taiwan

The final, formatted version of the article will be published soon.

    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 andthe 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.

    Keywords: Plants, multiomics, Mathematical Models, Development and, Plant modeling

    Received: 25 Dec 2023; Accepted: 15 Apr 2024.

    Copyright: © 2024 Yonggang, Xuerui, Zifeng and Cheng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: GAO Yonggang, Inner Mongolia University of Science and Technology, Baotou, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.