Genome resequencing reveals the genetic basis of population evolution, local adaptation, and rewiring of the rhizome metabolome in <i>Atractylodes lancea</i>
Chengcai Zhang, Sheng Wang, Jiahui Sun, Xiangkong Li, Hongyang Wang, Xiuzhi Guo, Yuefeng Wang, Daiquan Jiang 等 17 位
Chinese Academy of Medical Sciences & Peking Union Medical College Ministry of Agriculture and Rural Affairs Novogene Bioinformatics Institute Nanjing Agricultural University
阅读操作
确认中在文库中上传 PDF 后可生成中文音频讲解。
摘要与影响
The formation of high-quality Chinese medicinal materials is a micro-evolutionary process of multiple genes involving quantitative inheritance under environmental stress. Atractylodes lancea is a traditionally used medicinal plant in China that is broadly distributed and possesses a considerable amount of essential oils. However, to date, limited research has been conducted to characterize the genetics and metabolites of A. lancea shaped by natural variation. Hence, we assembled a high-quality genome of A. lancea, featuring a contig N50 of 1.18 Mb. We further integrated population resequencing of A. lancea and conducted analyses to characterize its genetic diversity, population evolution, and rewiring of volatile metabolites. The natural variation effect exerted significant pressure on A. lancea from different geographic locations, resulting in genetic differentiation among three groups. Correlation analysis of metabolites in A. lancea revealed significant natural variations of terpenoids, heterocyclic compounds, ketones, and esters. We also found that 427 metabolites displayed noteworthy divergence due to directional selection. Additionally, our genome-wide association studies on the metabolome for medicinal quality traits identified several candidate genes, such as AlZFP706 and AlAAHY1, exhibiting significant correlations with atractylodin and hinesol levels, respectively. Overall, this study provides an intricate genomic resource for A. lancea, thereby expanding our understanding of the effect of natural variation on metabolites and facilitating the genetic improvement of its medicinal properties.
逐年被引趋势
关键指标
同类平均 = 1
同领域 · 同年份 · 同类型
Google Scholar 与 OpenAlex 的被引统计范围不同,数值存在差异属正常。
AI 辅助阅读
依据:摘要
可就本文提问;依据不足时会说明。
学术脉络
学科主题
生物医学Traditional Chinese Medicine Analysis
Natural product bioactivities and synthesis · Ginseng Biological Effects and Applications
参考文献 95
此处列出前 3 条
引用本文 25
按被引量排序,此处列出前 3 条