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利用广义加性模型预测北阿坎德邦药用和芳香植物(MAPs)在生态气候带和海拔高度上的植物化学多样性。

Predicting phytochemical diversity of medicinal and aromatic plants (MAPs) across eco-climatic zones and elevation in Uttarakhand using Generalized Additive Model.

机构信息

G. B. Pant National Institute of Himalayan Environment, Kosi-Katarmal, Almora, Uttarakhand, 263 643, India.

G.B. Pant National Institute of Himalayan Environment, Sikkim Regional Centre, Pangthang, Gangtok, Sikkim, India.

出版信息

Sci Rep. 2023 Jul 5;13(1):10888. doi: 10.1038/s41598-023-37495-1.

Abstract

The present study uses a systematic approach to explore the phytochemical composition of medicinal plants from Uttarakhand, Western Himalaya. The phytochemical composition of medicinal plants was analyzed based on (i) the presence of different chemical groups and (ii) bioactive compounds. The Generalized Additive Model (GAM) analysis was used to predict the occurrence of chemical groups and active compounds across different eco-climatic zones and the elevation in Uttarakhand. A total of 789 medicinal plants represented by 144 taxonomic families were screened to explore the phytochemical diversity of the medicinal plants of Uttarakhand. These medicinal plant species are signified in different life forms such as herbs (58.86%), shrubs (18.24%), trees (17.48%), ferns (2.38%), and climbers (2.13%). The probability of occurrence of the chemical groups found in tropical, sub-tropical, and warm temperate eco-climatic zones, whereas active compounds have a high Probability towards alpine, sub-alpine, and cool temperate zones. The GAM predicted that the occurrence of species with active compounds was declining significantly (p < 0.01), while total active compounds increased across elevation (1000 m). While the occurrence of species with the chemical group increased, total chemical groups were indicated to decline with increasing elevation from 1000 m (p < 0.000). The current study is overwhelmed to predict the distribution of phytochemicals in different eco-climatic zones and elevations using secondary information, which offers to discover bioactive compounds of the species occurring in the different eco-climatic habitats of the region and setting the priority of conservation concerns. However, the study encourages the various commercial sectors, such as pharmaceutical, nutraceutical, chemical, food, and cosmetics, to utilize unexplored species. In addition, the study suggests that prioritizing eco-climatic zones and elevation based on phytochemical diversity should be a factor of concern in the Himalayan region, especially under the climate change scenario.

摘要

本研究采用系统方法探索了喜马拉雅山西部北阿坎德邦药用植物的植物化学成分。根据(i)不同化学基团和(ii)生物活性化合物的存在来分析药用植物的植物化学成分。广义加性模型(GAM)分析用于预测不同生态气候带和北阿坎德邦海拔高度的化学基团和活性化合物的出现。共筛选了 789 种药用植物,代表了 144 个分类科,以探索北阿坎德邦药用植物的植物化学多样性。这些药用植物物种以不同的生活形式出现,如草本植物(58.86%)、灌木(18.24%)、乔木(17.48%)、蕨类植物(2.38%)和攀援植物(2.13%)。在热带、亚热带和暖温带生态气候带中发现的化学基团的出现概率较高,而活性化合物在高山、亚高山和凉爽温带地区的出现概率较高。GAM 预测,具有活性化合物的物种的出现显著下降(p<0.01),而随着海拔的升高(1000 米),总活性化合物增加。随着具有化学基团的物种的出现增加,总化学基团被指示随着海拔的升高而下降,从 1000 米开始(p<0.000)。目前的研究是使用二次信息来预测不同生态气候带和海拔高度的植物化学成分的分布,这为发现该地区不同生态生境中出现的物种的生物活性化合物提供了帮助,并确定了保护重点。然而,该研究鼓励制药、营养保健品、化学、食品和化妆品等各个商业领域利用未开发的物种。此外,该研究建议,根据植物化学多样性优先考虑生态气候带和海拔高度应该成为喜马拉雅地区特别是在气候变化情景下的一个关注因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/168a/10322824/1c3af1da00d2/41598_2023_37495_Fig1_HTML.jpg

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