# Cytochrome P450 gene family: cross-pathway functional conservation, novel catalytic reactions, and synthetic biology-driven applications in plant secondary metabolism

## TL;DR

This review explores the role of cytochrome P450 enzymes in plant secondary metabolism and their potential for sustainable production of valuable compounds.

## Contribution

The paper proposes an integrated strategy combining CYP engineering and pathway optimization for enhanced metabolite production.

## Key findings

- CYPs are central to the biosynthesis of terpenoids, alkaloids, and flavonoids in plants.
- Transcriptional regulation and environmental signals significantly influence CYP gene expression.
- Synthetic biology and machine learning can advance CYP functional characterization and large-scale metabolite production.

## Abstract

Plant secondary metabolites play fundamental roles in plant defense and environmental adaptation, and possess extensive high-value applications in medicine, agriculture, and industrial biotechnology. The cytochrome P450 (CYPs) family occupies a central position in metabolic networks by catalyzing key reactions in the biosynthesis of terpenoids, alkaloids, and flavonoids. Although the role of CYPs in these pathways is well documented, their precise catalytic mechanisms and regulatory networks remain poorly characterized. In this review, we summarize recent advances in CYP classification, structural features, and catalytic diversity across plant species. We also analyze the transcriptional regulation and environmental signals that control CYP gene expression. Based on this synthesis, we propose an integrated strategy combining CYP enzyme engineering with metabolic pathway optimization to enhance the sustainable production of valuable secondary metabolites. Furthermore, we outline how CYP-centered approaches can improve the quality of medicinal plants and enable scalable bioreactor-based production. Interdisciplinary collaboration, supported by emerging technologies such as synthetic biology and machine learning, will be essential to overcome current limitations in CYP functional characterization, providing both mechanistic insights and practical solutions for the large-scale production of plant-derived natural products.