Samuel Edward Hakim, Nancy Choudhary, Karan Malhotra, Jian Peng, Arne Bültemeier, Ahmed Arafa, Ronja Friedhoff, Maximilian Bauer, Jessica Eikenberg, Claus-Peter Witte, Marco Herde, Philipp Heretsch, Boas Pucker, Jakob Franke
{"title":"系统基因组学和代谢工程揭示了茄科植物中一个与威纳醇内酯生物合成有关的保守基因簇","authors":"Samuel Edward Hakim, Nancy Choudhary, Karan Malhotra, Jian Peng, Arne Bültemeier, Ahmed Arafa, Ronja Friedhoff, Maximilian Bauer, Jessica Eikenberg, Claus-Peter Witte, Marco Herde, Philipp Heretsch, Boas Pucker, Jakob Franke","doi":"10.1038/s41467-025-61686-1","DOIUrl":null,"url":null,"abstract":"<p>Withanolides are steroidal lactones from nightshade (Solanaceae) plants with untapped drug potential due to limited availability of minor representatives caused by lack of biosynthetic pathway knowledge. Here, we combine phylogenomics with metabolic engineering to overcome this limitation. By sequencing the genome of the medicinal plant ashwagandha (<i>Withania somnifera</i>) and comparing it with nine Solanaceae species, we discover a conserved withanolide biosynthesis gene cluster, consisting of two sub gene clusters with differing expression patterns. We establish metabolic engineering platforms in yeast (<i>Saccharomyces cerevisiae</i>) and the model plant <i>Nicotiana benthamiana</i> to reconstitute the first five oxidations of withanolide biosynthesis, catalysed by the cytochrome P450 monooxygenases CYP87G1, CYP88C7, and CYP749B2 and a short-chain dehydrogenase/reductase, producing the aglycone of withanoside V. Enzyme functions are conserved within both sub gene clusters in <i>W. somnifera</i> and between <i>W. somnifera</i> and <i>Physalis pruinosa</i>. Our work sets the basis for biotechnological withanolide production to unlock their pharmaceutical potential.</p>","PeriodicalId":19066,"journal":{"name":"Nature Communications","volume":"109 1","pages":""},"PeriodicalIF":15.7000,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Phylogenomics and metabolic engineering reveal a conserved gene cluster in Solanaceae plants for withanolide biosynthesis\",\"authors\":\"Samuel Edward Hakim, Nancy Choudhary, Karan Malhotra, Jian Peng, Arne Bültemeier, Ahmed Arafa, Ronja Friedhoff, Maximilian Bauer, Jessica Eikenberg, Claus-Peter Witte, Marco Herde, Philipp Heretsch, Boas Pucker, Jakob Franke\",\"doi\":\"10.1038/s41467-025-61686-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Withanolides are steroidal lactones from nightshade (Solanaceae) plants with untapped drug potential due to limited availability of minor representatives caused by lack of biosynthetic pathway knowledge. Here, we combine phylogenomics with metabolic engineering to overcome this limitation. By sequencing the genome of the medicinal plant ashwagandha (<i>Withania somnifera</i>) and comparing it with nine Solanaceae species, we discover a conserved withanolide biosynthesis gene cluster, consisting of two sub gene clusters with differing expression patterns. We establish metabolic engineering platforms in yeast (<i>Saccharomyces cerevisiae</i>) and the model plant <i>Nicotiana benthamiana</i> to reconstitute the first five oxidations of withanolide biosynthesis, catalysed by the cytochrome P450 monooxygenases CYP87G1, CYP88C7, and CYP749B2 and a short-chain dehydrogenase/reductase, producing the aglycone of withanoside V. Enzyme functions are conserved within both sub gene clusters in <i>W. somnifera</i> and between <i>W. somnifera</i> and <i>Physalis pruinosa</i>. Our work sets the basis for biotechnological withanolide production to unlock their pharmaceutical potential.</p>\",\"PeriodicalId\":19066,\"journal\":{\"name\":\"Nature Communications\",\"volume\":\"109 1\",\"pages\":\"\"},\"PeriodicalIF\":15.7000,\"publicationDate\":\"2025-07-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature Communications\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://doi.org/10.1038/s41467-025-61686-1\",\"RegionNum\":1,\"RegionCategory\":\"综合性期刊\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature Communications","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1038/s41467-025-61686-1","RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
Phylogenomics and metabolic engineering reveal a conserved gene cluster in Solanaceae plants for withanolide biosynthesis
Withanolides are steroidal lactones from nightshade (Solanaceae) plants with untapped drug potential due to limited availability of minor representatives caused by lack of biosynthetic pathway knowledge. Here, we combine phylogenomics with metabolic engineering to overcome this limitation. By sequencing the genome of the medicinal plant ashwagandha (Withania somnifera) and comparing it with nine Solanaceae species, we discover a conserved withanolide biosynthesis gene cluster, consisting of two sub gene clusters with differing expression patterns. We establish metabolic engineering platforms in yeast (Saccharomyces cerevisiae) and the model plant Nicotiana benthamiana to reconstitute the first five oxidations of withanolide biosynthesis, catalysed by the cytochrome P450 monooxygenases CYP87G1, CYP88C7, and CYP749B2 and a short-chain dehydrogenase/reductase, producing the aglycone of withanoside V. Enzyme functions are conserved within both sub gene clusters in W. somnifera and between W. somnifera and Physalis pruinosa. Our work sets the basis for biotechnological withanolide production to unlock their pharmaceutical potential.
期刊介绍:
Nature Communications, an open-access journal, publishes high-quality research spanning all areas of the natural sciences. Papers featured in the journal showcase significant advances relevant to specialists in each respective field. With a 2-year impact factor of 16.6 (2022) and a median time of 8 days from submission to the first editorial decision, Nature Communications is committed to rapid dissemination of research findings. As a multidisciplinary journal, it welcomes contributions from biological, health, physical, chemical, Earth, social, mathematical, applied, and engineering sciences, aiming to highlight important breakthroughs within each domain.