Evolutionary tuning of a biosynthetic gene cluster drives furanocoumarin accumulation and diversification
Nature communications, Vol.17, 7624
2026
: 42304001
Deciphering evolutionary drivers of biosynthetic pathways could enhance bioactive compound production. In Angelica, interspecific variation in furanocoumarins (FCs) accumulation reflects divergent pathway evolution. Here, we conduct comparative genomics between high-FC Angelica sensu stricto (s.s.) and low-FC Angelica sensu lato (s.l.) species. We reveal an FC biosynthetic gene cluster (BGC) comprising core enzymes (p-coumaroyl-CoA 2'-hydroxylases (C2'Hs), prenyltransferases (PTs)) and peripheral O-methyltransferases (OMTs). The ancestral Angelica s.l. clade retains an FC BGC configuration with OMTs on separate chromosomes and PTs performing only C-prenylation. In contrast, Angelica s.s. evolves an FC BGC, where core enzymes and OMTs co-localise on the same chromosome, with C2'H copy number expansion correlating with elevated expression and PTs enabling both C- and O-prenylation, collectively enhancing FC production and structural diversity. These findings elucidate how BGC architecture, gene copy number and functional innovation collectively drive phytochemical innovation, providing a blueprint for engineering medicinal FC biosynthesis.
- Evolutionary tuning of a biosynthetic gene cluster drives furanocoumarin accumulation and diversification
- Xiaoxu Han - Agricultural Genomics Institute at ShenzhenMiaoxian Guo - University College DublinPeng Yang - Hunan University of Traditional Chinese MedicineDonghua Hu - Agricultural Genomics Institute at ShenzhenYuanxia Chen - Agricultural Genomics Institute at ShenzhenYujie Jia - University College DublinHongcui Pei - Chinese Academy of Agricultural SciencesJiantao Tan - Rice Research InstituteElsayed Nishawy - National Water Research CenterZefu Lu - Chinese Academy of Agricultural SciencesAnthony Twamley - University College DublinGarth Maker - Murdoch UniversityLi Wang - Agricultural Genomics Institute at Shenzhen
- Nature communications, Vol.17, 7624
- Nature Research
- 32400192 / National Natural Science Foundation of China (National Science Foundation of China) 32470245 / National Natural Science Foundation of China (National Science Foundation of China) 32570274 / National Natural Science Foundation of China (National Science Foundation of China) 32300223 / National Natural Science Foundation of China (National Science Foundation of China)
- 991005896087007891
- © The Author(s) 2026
- School of Medical, Molecular and Forensic Sciences; Centre for Computational and Systems Medicine
- English
- Journal article
1
7