Phenotyping of Salvia miltiorrhiza Roots Reveals Associations between Root Traits and Bioactive Components.
Phenotyping of Salvia miltiorrhiza Roots Reveals Associations between Root Traits and Bioactive Components.
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DOI：
10.34133/plantphenomics.0098
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发表时间：
2023
期刊：
影响因子：
--
通讯作者：
Chen W
中科院分区：
文献类型：
--
作者：
Chen J;Wang Y;Di P;Wu Y;Qiu S;Lv Z;Qiao Y;Li Y;Tan J;Chen W;Yu M;Wei P;Xiao Y;Chen W
植物表型组学旨在对植物性状进行高通量、快速、准确的测量，从而为作物育种提供所需性状和最佳基因型的鉴定。丹参（Salvia miltiorrhiza，Danshen）对心血管疾病有显著的治疗作用，市场需求巨大.尽管对具有生物活性的代谢产物的研究已经取得了很大进展，但对S.丹参根系在其他生理方面较差。在这里，我们开发了一个框架，利用图像特征提取软件进行深入的表型S。丹参根通过采用多种软件程序，S。从农艺性状、解剖性状和根系构型3个方面对丹参根系进行了描述。根据根分支直径的大小进行K-均值聚类，将所有根系分为3类，并对与主根相关的关键性状进行聚类分析。作为概念的证明，我们检查了一系列随机收集的S。结果表明，根总表面积是预测生物量的最佳参数，相关系数R2 = 0.8312，可用于生物量的预测，而无需含量测定。本研究为进一步开展中药材分级和育种实践提供了重要依据。
Plant phenomics aims to perform high-throughput, rapid, and accurate measurement of plant traits, facilitating the identification of desirable traits and optimal genotypes for crop breeding. Salvia miltiorrhiza (Danshen) roots possess remarkable therapeutic effect on cardiovascular diseases, with huge market demands. Although great advances have been made in metabolic studies of the bioactive metabolites, investigation for S. miltiorrhiza roots on other physiological aspects is poor. Here, we developed a framework that utilizes image feature extraction software for in-depth phenotyping of S. miltiorrhiza roots. By employing multiple software programs, S. miltiorrhiza roots were described from 3 aspects: agronomic traits, anatomy traits, and root system architecture. Through K-means clustering based on the diameter ranges of each root branch, all roots were categorized into 3 groups, with primary root-associated key traits. As a proof of concept, we examined the phenotypic components in a series of randomly collected S. miltiorrhiza roots, demonstrating that the total surface of root was the best parameter for the biomass prediction with high linear regression correlation (R2 = 0.8312), which was sufficient for subsequently estimating the production of bioactive metabolites without content determination. This study provides an important approach for further grading of medicinal materials and breeding practices.
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