{"title":"标题青蒿属植物的全球系统发育与分类。","authors":"Bohan Jiao,Meng Wei,Guohao Niu,Xiyang Chen,Yifan Liu,Guangyin Huang,Chen Chen,Jiye Zheng,Jiahao Shen,Daniel Vitales,Joan Vallès,Filip Verloove,Andrey S Erst,Alexey P Seregin,Akiko Soejima,Xuejun Ge,Florian Jabbour,Artem Leostrin,Goro Kokubugata,Wei Wang,Tiangang Gao","doi":"10.1038/s41467-025-64039-0","DOIUrl":null,"url":null,"abstract":"Developing robust phylogenies and comprehensive taxonomies for big plant genera is crucial for unlocking plant-derived solutions to global sustainability challenges. Artemisia, a big genus comprising ~500 species, holds immense medicinal and ecological importance. Despite decades of efforts, establishing a comprehensive phylogeny and taxonomy for global Artemisia has remained a formidable challenge. Here, we reconstruct the most comprehensive phylogeny of global Artemisia to date (394 species) using a gigamatrix approach. We also analyze evolutionary patterns of 20 morphological characters of Artemisia worldwide to evaluate their taxonomic utility. Based on these findings, we propose a global taxonomy for Artemisia, recognizing 24 sections in 8 subgenera, and placing 99.6% of accepted species (502/505). This study provides a robust framework to advance understanding of the evolution and ecology of Artemisia, and to promote the sustainable utilization of its rich resources. Meanwhile, it introduces an exemplary case for taxonomic research on big genera in the genomic era.","PeriodicalId":19066,"journal":{"name":"Nature Communications","volume":"19 1","pages":"8648"},"PeriodicalIF":15.7000,"publicationDate":"2025-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Global phylogeny and taxonomy of Artemisia.\",\"authors\":\"Bohan Jiao,Meng Wei,Guohao Niu,Xiyang Chen,Yifan Liu,Guangyin Huang,Chen Chen,Jiye Zheng,Jiahao Shen,Daniel Vitales,Joan Vallès,Filip Verloove,Andrey S Erst,Alexey P Seregin,Akiko Soejima,Xuejun Ge,Florian Jabbour,Artem Leostrin,Goro Kokubugata,Wei Wang,Tiangang Gao\",\"doi\":\"10.1038/s41467-025-64039-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Developing robust phylogenies and comprehensive taxonomies for big plant genera is crucial for unlocking plant-derived solutions to global sustainability challenges. Artemisia, a big genus comprising ~500 species, holds immense medicinal and ecological importance. Despite decades of efforts, establishing a comprehensive phylogeny and taxonomy for global Artemisia has remained a formidable challenge. Here, we reconstruct the most comprehensive phylogeny of global Artemisia to date (394 species) using a gigamatrix approach. We also analyze evolutionary patterns of 20 morphological characters of Artemisia worldwide to evaluate their taxonomic utility. Based on these findings, we propose a global taxonomy for Artemisia, recognizing 24 sections in 8 subgenera, and placing 99.6% of accepted species (502/505). This study provides a robust framework to advance understanding of the evolution and ecology of Artemisia, and to promote the sustainable utilization of its rich resources. Meanwhile, it introduces an exemplary case for taxonomic research on big genera in the genomic era.\",\"PeriodicalId\":19066,\"journal\":{\"name\":\"Nature Communications\",\"volume\":\"19 1\",\"pages\":\"8648\"},\"PeriodicalIF\":15.7000,\"publicationDate\":\"2025-10-08\",\"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/s41467-025-64039-0\",\"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/s41467-025-64039-0","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}
Developing robust phylogenies and comprehensive taxonomies for big plant genera is crucial for unlocking plant-derived solutions to global sustainability challenges. Artemisia, a big genus comprising ~500 species, holds immense medicinal and ecological importance. Despite decades of efforts, establishing a comprehensive phylogeny and taxonomy for global Artemisia has remained a formidable challenge. Here, we reconstruct the most comprehensive phylogeny of global Artemisia to date (394 species) using a gigamatrix approach. We also analyze evolutionary patterns of 20 morphological characters of Artemisia worldwide to evaluate their taxonomic utility. Based on these findings, we propose a global taxonomy for Artemisia, recognizing 24 sections in 8 subgenera, and placing 99.6% of accepted species (502/505). This study provides a robust framework to advance understanding of the evolution and ecology of Artemisia, and to promote the sustainable utilization of its rich resources. Meanwhile, it introduces an exemplary case for taxonomic research on big genera in the genomic era.
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.