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Updated: Sep 28, 2025
08:09
Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics
Published on: June 17, 2012
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Plant metabolic gene clusters in the multi-omics era
Chuansong Zhan1, Shuangqian Shen2, Chenkun Yang3
1College of Tropical Crops, Hainan University, Haikou 570228, China; Sanya Nanfan Research Institute of Hainan University, Hainan Yazhou Bay Seed Laboratory, Sanya 572025, China.
Trends in Plant Science
|April 2, 2022
Summary
Plant metabolic gene clusters offer new insights into specialized metabolism evolution. Understanding these clusters aids in natural product discovery and metabolic engineering for enhanced production.
Area of Science:
- Plant biology
- Biochemistry
- Metabolic engineering
Background:
- Plants produce diverse small-molecule natural products via secondary metabolism.
- Operon-like gene clusters in plants are key to understanding specialized metabolism evolution.
- These clusters present opportunities for advancing natural product production.
Purpose of the Study:
- To review historical studies of plant metabolic gene clusters.
- To outline strategies for identifying these clusters in the multi-omics era.
- To explore their natural variation, evolution, and structure-function relationships.
Main Methods:
- Literature review of historical and current research.
- Analysis of multi-omics data for gene cluster identification.
- Comparative genomics and evolutionary studies.
- Functional analysis of gene cluster structure.
Main Results:
- Identification of operon-like gene clusters in plants.
- Development of strategies for discovering plant metabolic gene clusters.
- Insights into the evolution and natural variation of these clusters.
- Understanding the link between gene cluster structure and function.
Conclusions:
- Plant metabolic gene clusters are crucial for understanding specialized metabolism.
- Multi-omics approaches accelerate the discovery and engineering of natural products.
- Further research into gene cluster evolution and function will unlock new applications.
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