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环境因素驱动下天然代谢产物的积累特征

Accumulation Characteristics of Natural Metabolites Driven by Environmental Factors.

作者信息

Wang Tao, Tang Chuyu, Chen Jianbo, Liang Jing, Li Yuling, Li Xiuzhang

机构信息

State Key Laboratory of Plateau Ecology and Agriculture, Qinghai Academy of Animal Science and Veterinary Medicine, Qinghai University, Xining 810016, China.

Ningxia Zhihui Yuanshi Winery Co., Yinchuan 750000, China.

出版信息

Metabolites. 2024 Jul 27;14(8):414. doi: 10.3390/metabo14080414.

DOI:10.3390/metabo14080414
PMID:39195510
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11355974/
Abstract

The environment is an important factor affecting the composition and abundance of metabolites in , which indirectly determines its edible function and medicinal potential. This study integrated metabolomics and redundancy analysis (RDA) to analyze the metabolite profile characteristics and key environmental factors influencing in various production areas. A total of 700 differentially accumulated metabolites (DAMs) were identified, primarily comprising lipids, organic acids, and organoheterocyclic compounds. Results from hierarchical cluster analysis and KEGG indicated distinct accumulation patterns of these DAMs in from different regions, with enrichment in pathways such as tryptophan metabolism and glycerophospholipid metabolism. Environmental factors like annual mean precipitation, pH, temperature, and altitude were found to significantly influence metabolite composition, particularly lipids, organic acids, and nucleosides. Overall, this study highlights the impact of environmental factors on metabolite diversity in and sheds light on the evolutionary processes shaping its metabolic landscape.

摘要

环境是影响[具体研究对象]中代谢物组成和丰度的重要因素,这间接决定了其食用功能和药用潜力。本研究整合代谢组学和冗余分析(RDA),以分析不同产区[具体研究对象]的代谢物谱特征和关键环境因素。共鉴定出700种差异积累代谢物(DAMs),主要包括脂质、有机酸和有机杂环化合物。层次聚类分析和KEGG结果表明,这些DAMs在不同地区的[具体研究对象]中具有明显的积累模式,在色氨酸代谢和甘油磷脂代谢等途径中富集。发现年平均降水量、pH值、温度和海拔等环境因素对代谢物组成有显著影响,尤其是脂质、有机酸和核苷。总体而言,本研究突出了环境因素对[具体研究对象]中代谢物多样性的影响,并揭示了塑造其代谢景观的进化过程。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f469/11355974/11034d96f305/metabolites-14-00414-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f469/11355974/6c41f60cf23e/metabolites-14-00414-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f469/11355974/72eb25b14519/metabolites-14-00414-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f469/11355974/77855c1d1eb5/metabolites-14-00414-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f469/11355974/449ccb3c03fc/metabolites-14-00414-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f469/11355974/93dd66af2516/metabolites-14-00414-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f469/11355974/c8cb4f2323f2/metabolites-14-00414-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f469/11355974/11034d96f305/metabolites-14-00414-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f469/11355974/6c41f60cf23e/metabolites-14-00414-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f469/11355974/72eb25b14519/metabolites-14-00414-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f469/11355974/77855c1d1eb5/metabolites-14-00414-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f469/11355974/449ccb3c03fc/metabolites-14-00414-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f469/11355974/93dd66af2516/metabolites-14-00414-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f469/11355974/c8cb4f2323f2/metabolites-14-00414-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f469/11355974/11034d96f305/metabolites-14-00414-g007.jpg

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