Induction and metabolomic analysis of hairy roots of Atractylodes lancea

Zhang, Chengcai; Guo, Xiuzhi; Wang, Hongyang; Dai, Xiaoyu; Yan, Binbin; Wang, Sheng; Guo, Lanping

doi:10.1007/s00253-023-12735-6

Appl Microbiol Biotechnol

2023

DOI: 10.1007/s00253-023-12735-6

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Induction and metabolomic analysis of hairy roots of Atractylodes lancea

Chengcai Zhang,

Xiuzhi Guo,

Hongyang Wang

et al.

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Cited by 5 publications

References 69 publications

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Using HS-GC-MS and flash GC e-nose in combination with chemometric analysis and machine learning algorithms to identify the varieties, geographical origins and production modes of Atractylodes lancea

Gan,

Yang,

et al. 2024

Industrial Crops and Products

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Using HS-GC-MS and flash GC e-nose in combination with chemometric analysis and machine learning algorithms to identify the varieties, geographical origins and production modes of Atractylodes lancea

Gan,

Yang,

et al. 2024

Industrial Crops and Products

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Genome resequencing reveals the genetic basis of population evolution, local adaptation, and rewiring of the rhizome metabolome in Atractylodes lancea

Zhang,

Wang,

Sun

et al. 2024

Horticulture Research

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The formation of high-quality Chinese medicinal materials is a micro-evolution process of multiple genes involved quantitative inheritance under environmental stress. Atractylodes lancea is traditionally used medicinal plant in China that is broadly distributed and possesses a considerable amount of essential oil. However, to date, limited research has been conducted to characterize the genetics and metabolites of A. lancea shaped by natural variation. Hence, we assembled a high-quality genome of A. lancea, featuring a contig N50 of 1.18 Mb. We further integrated population re-sequencing of A. lancea and conducted analyses to characterize its genetic diversity, population evolution, and rewiring of volatile metabolites. The natural variation effect exerted significant pressure on A. lancea from different geographic locations, resulting in genetic differentiation among three groups. The correlation analysis of metabolites in A. lancea revealed significant natural variations of terpenoids, heterocyclic compounds, ketones, and esters. We also found that 427 metabolites that displayed noteworthy divergence due to directional selection. Additionally, our genome-wide association studies on the metabolome for medicinal quality traits identified several candidate genes, such as AlZFP706 and AlAAHY1, exhibiting significant correlations with atractylodin and hinesol levels, respectively. Overall, this study provides an intricate genomic resource for A. lancea, thereby expanding our understanding of the effect of natural variation on metabolites and facilitating the genetic improvement of its medicinal properties.

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Enhancement of Sesquiterpenoid Production by Methyl Jasmonate in Atractylodes chinensis Adventitious Root Culture and its Transcriptional Regulation

Yun,

Pak,

Pang

et al. 2024

Plant and Cell Physiology

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The adventitious root (AR) culture of Atractylodes chinensis is an efficient platform for sustainable production of its sesquiterpenoid compounds (atractylon and β-eudesmol). However, their limited accumulation levels need an effective elicitation approach, and the present study solved this problem using methyl jasmonate (MeJA) as an elicitor. The effects of its treatment concentration and duration on metabolite production were investigated. The ARs treated with 100 µM MeJA for seven days increased atractylon and β-eudesmol by 3.64- and 1.90-fold, respectively, compared with the control. This study further performed transcriptome analysis to explore the transcriptional regulation mechanism of the MeJA elicitation. A total of 124,464 unigenes were identified in A. chinensis ARs, of which 3,568 genes were upregulated and 3,864 genes were downregulated under the MeJA treatment. The MeJA treatment activated the endogenous JA biosynthesis and signaling pathways and sesquiterpenoid biosynthesis. The MeJA treatment more significantly activated the MEP pathway than the MVA pathway. In addition, 14 genes encoding terpene synthase were identified to be significantly upregulated. A total of 2,700 transcription factors (TFs) were identified in A. chinensis ARs, of which Tify, MYB, and MADS were significantly enriched under the MeJA treatment. We predicted a new antagonistic interaction between MYC2 and CPP TFs, which was significantly regulated by the MeJA treatment. The results of real-time quantitative PCR and enzyme activity assays proved the reliability of the transcriptome data. This study will help improve the in vitro production system of A. chinensis sesquiterpenoids and understand the transcriptional regulation mechanism of MeJA elicitation.

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Induction and metabolomic analysis of hairy roots of Atractylodes lancea

Cited by 5 publications

References 69 publications

Using HS-GC-MS and flash GC e-nose in combination with chemometric analysis and machine learning algorithms to identify the varieties, geographical origins and production modes of Atractylodes lancea

Using HS-GC-MS and flash GC e-nose in combination with chemometric analysis and machine learning algorithms to identify the varieties, geographical origins and production modes of Atractylodes lancea

Genome resequencing reveals the genetic basis of population evolution, local adaptation, and rewiring of the rhizome metabolome in Atractylodes lancea

Enhancement of Sesquiterpenoid Production by Methyl Jasmonate in Atractylodes chinensis Adventitious Root Culture and its Transcriptional Regulation

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