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利用代谢组学和机器学习探索英国种植茶叶的化学多样性。

Chemical Diversity of UK-Grown Tea Explored Using Metabolomics and Machine Learning.

作者信息

Lloyd Amanda J, Warren-Walker Alina, Finch Jasen, Harper Jo, Bennet Kathryn, Watson Alison, Lyons Laura, Martinez Martin Pilar, Wilson Thomas, Beckmann Manfred

机构信息

Department of Life Sciences, Aberystwyth University, Aberystwyth SY23 3DA, UK.

Dartmoor Estate Tea, Furzeleigh Farm, Ashburton, Newton Abbot TQ13 7JL, UK.

出版信息

Metabolites. 2025 Jan 15;15(1):52. doi: 10.3390/metabo15010052.

DOI:10.3390/metabo15010052
PMID:39852394
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11767213/
Abstract

BACKGROUND/OBJECTIVES: Dartmoor Estate Tea plantation in Devon, UK, is renowned for its unique microclimate and varied soil conditions, which contribute to the distinctive flavours and chemical profiles of tea. The chemical diversity of fresh leaf samples from various garden locations was explored within the plantation.

METHODS

Fresh leaf, which differed by location, cultivar, time of day, and variety, was analysed using Flow Infusion Electrospray Ionisation Mass Spectrometry (FIE-MS).

RESULTS

Random forest classification revealed no significant differences between Georgian N2 cultivar garden locations. However, a significant degree of variability was observed within four tri-clonal variants (Tocklai Variety) with TV9 exhibiting greater similarity to the Georgian N2 cultivar compared to TV8 and TV11, while TV11 was found to be most like TV1. The intraclass variability in leaf composition was similar between the varieties. We explored the metabolic changes over the day in one variant ( Masters), yielding a model with a significant R value of 0.617 ( < 0.01, 3000 permutations). Starch and sucrose metabolism was found to be significant where the abundance of these chemical features increased throughout the day and then began to decrease at night.

CONCLUSIONS

This research highlights the complex interplay of cultivars, geographical location, and temporal factors on the chemical composition of tea. It provides insightful data on the metabolic pathways influencing tea cultivation and production and underscores the importance of these variables in determining the final chemical profile and organoleptic characteristics of tea products.

摘要

背景/目的:英国德文郡的达特穆尔庄园茶园以其独特的小气候和多样的土壤条件而闻名,这些条件造就了茶叶独特的风味和化学特征。在该茶园内探索了来自不同园区位置的鲜叶样本的化学多样性。

方法

使用流动注射电喷雾电离质谱法(FIE-MS)分析了因位置、品种、一天中的时间和种类不同的鲜叶。

结果

随机森林分类显示格鲁吉亚N2品种的园区位置之间没有显著差异。然而,在四个三克隆变种(托克lai品种)中观察到了显著程度的变异性,与TV8和TV11相比,TV9与格鲁吉亚N2品种表现出更大的相似性,而TV11被发现与TV1最相似。各品种间叶片成分的类内变异性相似。我们研究了一个变种(马斯特斯)一天中的代谢变化,得出了一个R值为0.617(<0.01,3000次排列)的显著模型。发现淀粉和蔗糖代谢显著,这些化学特征的丰度在一天中增加,然后在夜间开始下降。

结论

本研究突出了品种、地理位置和时间因素对茶叶化学成分的复杂相互作用。它提供了关于影响茶叶种植和生产的代谢途径的有洞察力的数据,并强调了这些变量在确定茶叶产品最终化学特征和感官特性方面的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2249/11767213/767b7926e8fd/metabolites-15-00052-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2249/11767213/6e2b49cf5460/metabolites-15-00052-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2249/11767213/1931b096dbad/metabolites-15-00052-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2249/11767213/c886bcaaaf24/metabolites-15-00052-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2249/11767213/f926ffd28189/metabolites-15-00052-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2249/11767213/62f8e30540f8/metabolites-15-00052-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2249/11767213/f51f07bcdb32/metabolites-15-00052-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2249/11767213/767b7926e8fd/metabolites-15-00052-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2249/11767213/6e2b49cf5460/metabolites-15-00052-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2249/11767213/1931b096dbad/metabolites-15-00052-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2249/11767213/c886bcaaaf24/metabolites-15-00052-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2249/11767213/f926ffd28189/metabolites-15-00052-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2249/11767213/62f8e30540f8/metabolites-15-00052-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2249/11767213/f51f07bcdb32/metabolites-15-00052-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2249/11767213/767b7926e8fd/metabolites-15-00052-g007.jpg

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