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利用高效液相色谱法和最大熵模型评估生态因素对花的质量和生境分布的影响。

Evaluating the impact of ecological factors on the quality and habitat distribution of Flos using HPLC and the MaxEnt model.

作者信息

Cheng Jiali, Guo Fengxia, Wang Liyang, Li Zhigang, Zhou Chunyan, Wang Hongyan, Liang Wei, Jiang Xiaofeng, Chen Yuan, Dong Pengbin

机构信息

College of Agronomy, College of Life Science and Technology, Gansu Provincial Key Lab of Good Agricultural Production for Traditional Chinese Medicines, Gansu Provincial Engineering Research Centre for Medical Plant Cultivation and Breeding, Gansu Provincial Key Lab of Arid Land Crop Science, Gansu Key Lab of Crop Genetic and Germplasm Enhancement, Gansu Agricultural University, Lanzhou, China.

Longxi County Agricultural Technology Extension Center, Dingxi, Gansu, China.

出版信息

Front Plant Sci. 2024 Aug 6;15:1397939. doi: 10.3389/fpls.2024.1397939. eCollection 2024.

Abstract

INTRODUCTION

The quality of traditional Chinese medicine is based on the content of their secondary metabolites, which vary with habitat adaptation and ecological factors. This study focuses on (LJF), a key traditional herbal medicine, and aims to evaluate how ecological factors impact its quality.

METHODS

We developed a new evaluation method combining high-performance liquid chromatography (HPLC) fingerprinting technology and MaxEnt models to assess the effects of ecological factors on LJF quality. The MaxEnt model was used to predict suitable habitats for current and future scenarios, while HPLC was employed to analyze the contents of key compounds. We also used ArcGIS for spatial analysis to create a quality zoning map.

RESULTS

The analysis identified 21 common chromatographic peaks, with significant variations in the contents of Hyperoside, Rutin, Chlorogenic acid, Cynaroside, and Isochlorogenic acid A across different habitats. Key environmental variables influencing LJF distribution were identified, including temperature, precipitation, and elevation. The current suitable habitats primarily include regions south of the Yangtze River. Under future climate scenarios, suitable areas are expected to shift, with notable expansions in southern Gansu, southeastern Tibet, and southern Liaoning. The spatial distribution maps revealed that high-quality LJF is predominantly found in central and southern Hebei, northern Henan, central Shandong, central Sichuan, southern Guangdong, and Taiwan.

DISCUSSION

The study indicates that suitable growth areas can promote the accumulation of certain secondary metabolites in plants, as the accumulation of these metabolites varies. The results underscore the necessity of optimizing quality based on cultivation practices. The integration of HPLC fingerprinting technology and the MaxEnt model provides valuable insights for the conservation and cultivation of herbal resources, offering a new perspective on evaluating the impact of ecological factors on the quality of traditional Chinese medicines.

摘要

引言

中药的质量取决于其次生代谢产物的含量,而次生代谢产物的含量会因生境适应性和生态因素而有所不同。本研究聚焦于一种关键的传统草药连钱草(LJF),旨在评估生态因素如何影响其质量。

方法

我们开发了一种新的评估方法,将高效液相色谱(HPLC)指纹图谱技术与MaxEnt模型相结合,以评估生态因素对连钱草质量的影响。MaxEnt模型用于预测当前和未来情景下的适宜生境,而HPLC则用于分析关键化合物的含量。我们还使用ArcGIS进行空间分析,以创建质量分区图。

结果

分析确定了21个常见色谱峰,不同生境中金丝桃苷、芦丁、绿原酸、木犀草苷和异绿原酸A的含量存在显著差异。确定了影响连钱草分布的关键环境变量,包括温度、降水和海拔。当前的适宜生境主要包括长江以南地区。在未来气候情景下,适宜区域预计将发生变化,甘肃南部、西藏东南部和辽宁南部将有显著扩张。空间分布图显示,高质量的连钱草主要分布在河北中部和南部、河南北部、山东中部、四川中部、广东南部和台湾。

讨论

该研究表明,适宜的生长区域可以促进植物中某些次生代谢产物的积累,因为这些代谢产物的积累存在差异。结果强调了基于种植实践优化质量的必要性。HPLC指纹图谱技术与MaxEnt模型的整合为草药资源的保护和种植提供了有价值的见解,为评估生态因素对中药质量的影响提供了新的视角。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7345/11333331/85569d15a48c/fpls-15-1397939-g001.jpg

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