Cellular metabolism in nature exhibits vast diversity, yet evolutionary sampling has selected primarily for growth and survival. By mining the under‑explored regions of metabolic space and engineering cells for product‑oriented synthesis, we uncover general principles and regulatory logics of metabolic networks. This approach not only expands the toolbox for synthetic biology but also provides novel insights into the evolutionary constraints and adaptability of metabolism.

基于代谢多样性探明代谢调控规律
自然界中细胞代谢具有丰富的多样性，但进化筛选往往局限于支持生长与存活的部分“最优解”。我们通过挖掘未被充分利用的代谢路径与调控空间，构建以产物合成为导向的细胞工厂模型，从而揭示代谢网络的通用设计原理与适应性规律。这一方向不仅拓展了合成生物学的能力边界，也为理解细胞代谢的进化逻辑提供了新视角。