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Widely targeted metabolomic analysis reveals differences in volatile metabolites among four Angelica species

Lanlan Zang, Jiaojiao Ji, Tingting Lu, Cheng Li, Xiaoxu Han, Soo-Rang Lee, Lei Ma, Li Wang
doi: https://doi.org/10.1101/2022.12.01.518649
Lanlan Zang
aZhengzhou Research Base, State Key Laboratory of Cotton Biology, School of Agricultural Sciences, Zhengzhou University, Zhengzhou 450001, China
bShenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
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Jiaojiao Ji
bShenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
cCollege of Life Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
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Tingting Lu
bShenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
eState Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng 475004, China
fShenzhen Research Institute of Henan university, Shenzhen 518000, China
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Cheng Li
bShenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
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Xiaoxu Han
bShenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
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Soo-Rang Lee
gDepartment of Biology Education, College of Education, Chosun University, Gwangju 61452, South Korea
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Lei Ma
aZhengzhou Research Base, State Key Laboratory of Cotton Biology, School of Agricultural Sciences, Zhengzhou University, Zhengzhou 450001, China
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  • For correspondence: wangli03@caas.cn malei2002@163.com
Li Wang
bShenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
dKunpeng Institute of Modern Agriculture at Foshan, Foshan 528200, China
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  • For correspondence: wangli03@caas.cn malei2002@163.com
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Abstract

Angelica L. has attracted global interest for its traditional medicinal uses and commercial values. However, few studies have focused on the metabolomic differences among the Angelica species. In this study, we analyzed volatile metabolites of four Angelica species (Angelica sinensis (Oliv.) Diels, Angelica biserrata (R.H.Shan & Yuan) C.Q.Yuan & R.H.Shan, Angelica dahurica (Hoffm.) Benth. & Hook.f. ex Franch. & Sav., Angelica keiskei Koidz.) by employing the widely targeted metabolomics based on gas chromatography–tandem mass spectrometry. A total of 899 volatile metabolites were identified and classified into sixteen different categories. On average, categorical abundances of volatile metabolites such as terpenoids, alcohol, ketone, and ester were higher in Angelica keiskei than those in the other three Angelica species. The metabolomic analysis indicated that 7-hydroxycoumarin and Z-ligustilide were accumulated at significantly higher levels in Angelica sinensis, whereas the opposite pattern was observed for bornyl acetate. In addition, we found a high correspondence between the dendrogram of metabolite contents and phylogenetic positions in the four species. This study provides a biochemical map for the exploitation, application and development of the Angelica species as medicinal plants or health-related dietary supplements.

Highlights

  • Eight hundred and ninety-nine volatile metabolites were identified in four Angelica species.

  • Medicinal plants differed in the accumulation of volatile compounds: Angelica keiskei is rich in bornyl acetate, while Angelica sinensis is rich in 7-hydroxycoumarin and Z-ligustilide.

  • Angelica keiskei exhibited high diversity and abundance of effective volatile compounds, and demonstrated its profound potential for industrial applications.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted December 02, 2022.
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Widely targeted metabolomic analysis reveals differences in volatile metabolites among four Angelica species
Lanlan Zang, Jiaojiao Ji, Tingting Lu, Cheng Li, Xiaoxu Han, Soo-Rang Lee, Lei Ma, Li Wang
bioRxiv 2022.12.01.518649; doi: https://doi.org/10.1101/2022.12.01.518649
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Widely targeted metabolomic analysis reveals differences in volatile metabolites among four Angelica species
Lanlan Zang, Jiaojiao Ji, Tingting Lu, Cheng Li, Xiaoxu Han, Soo-Rang Lee, Lei Ma, Li Wang
bioRxiv 2022.12.01.518649; doi: https://doi.org/10.1101/2022.12.01.518649

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