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- Title
- Metabolic discrimination between adventitious roots and standard medicinal part of Atractylodes macrocephala Koidz. using FT-IR spectroscopy
- Author(s)
- So Yean Choi; Seong Sub Ku; M S Ahn; Eun Jin So; Hye Ran Kim; S U Park; M S Lee; Y M Kang; Sung Ran Min; Suk Weon Kim
- Bibliographic Citation
- Plants-Basel, vol. 12, no. 9, pp. 1821-1821
- Publication Year
- 2023
- Abstract
- This study aims to examine the metabolic discrimination between in vitro grown adventitious roots and the standard medicinal parts of Atractylodes macrocephala. To achieve this goal, firstly, in vitro culture conditions of adventitious roots such as indole-3-butyric acid (IBA) concentrations, types of media, inorganic salt strength of culture medium, and elicitor types and concentrations were optimized. The optimal culture conditions for proliferation of adventitious roots was found to consist of Murashige and Skoog (MS) medium containing 5 mg L-1 IBA. Whole cell extracts from adventitious roots and the standard medicinal parts of A. macrocephala were subjected to Fourier transform infrared spectroscopy (FT-IR). Principal component analysis (PCA) and partial least square discriminant analysis (PLS-DA) from FT-IR spectral data showed that adventitious roots and standard medicinal parts were clearly distinguished in the PCA and PLS-DA score plot. Furthermore, the overall metabolite pattern from adventitious roots was changed depending on the dose-dependent manner of chemicals. These results suggest that FT-IR spectroscopy can be applied as an alternative tool for the screening of higher metabolic root lines and for discriminating metabolic similarity between in vitro grown adventitious roots and the standard medicinal parts. In addition, the adventitious roots proliferation system established in this study can be directly applied as an alternative means for the commercial production of A. macrocephala.
- Keyword
- Indole-3-butyric acid (IBA)Liquid cultureMedicinal plantsPartial least square discriminant analysis (PLS-DA)Principal component analysis (PCA)
- ISSN
- 2223-7747
- Publisher
- MDPI
- DOI
- http://dx.doi.org/10.3390/plants12091821
- Type
- Article
- Appears in Collections:
- Division of Research on National Challenges > Plant Systems Engineering Research > 1. Journal Articles
Jeonbuk Branch Institute > Biological Resource Center > 1. Journal Articles
- Files in This Item:
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