Metabolic discrimination between adventitious roots and standard medicinal part of Atractylodes macrocephala Koidz. using FT-IR spectroscopy

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dc.contributor.authorSo Yean Choi-
dc.contributor.authorSeong Sub Ku-
dc.contributor.authorM S Ahn-
dc.contributor.authorEun Jin So-
dc.contributor.authorHye Ran Kim-
dc.contributor.authorS U Park-
dc.contributor.authorM S Lee-
dc.contributor.authorY M Kang-
dc.contributor.authorSung Ran Min-
dc.contributor.authorSuk Weon Kim-
dc.date.accessioned2023-05-15T16:33:24Z-
dc.date.available2023-05-15T16:33:24Z-
dc.date.issued2023-
dc.identifier.issn2223-7747-
dc.identifier.urihttps://oak.kribb.re.kr/handle/201005/31733-
dc.description.abstractThis 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.-
dc.publisherMDPI-
dc.titleMetabolic discrimination between adventitious roots and standard medicinal part of Atractylodes macrocephala Koidz. using FT-IR spectroscopy-
dc.title.alternativeMetabolic discrimination between adventitious roots and standard medicinal part of Atractylodes macrocephala Koidz. using FT-IR spectroscopy-
dc.typeArticle-
dc.citation.titlePlants-Basel-
dc.citation.number9-
dc.citation.endPage1821-
dc.citation.startPage1821-
dc.citation.volume12-
dc.contributor.affiliatedAuthorSo Yean Choi-
dc.contributor.affiliatedAuthorSeong Sub Ku-
dc.contributor.affiliatedAuthorEun Jin So-
dc.contributor.affiliatedAuthorHye Ran Kim-
dc.contributor.affiliatedAuthorSung Ran Min-
dc.contributor.affiliatedAuthorSuk Weon Kim-
dc.contributor.alternativeName최소연-
dc.contributor.alternativeName구성섭-
dc.contributor.alternativeName안명숙-
dc.contributor.alternativeName소은진-
dc.contributor.alternativeName김혜란-
dc.contributor.alternativeName박상운-
dc.contributor.alternativeName이문순-
dc.contributor.alternativeName강영민-
dc.contributor.alternativeName민성란-
dc.contributor.alternativeName김석원-
dc.identifier.bibliographicCitationPlants-Basel, vol. 12, no. 9, pp. 1821-1821-
dc.identifier.doi10.3390/plants12091821-
dc.subject.keywordIndole-3-butyric acid (IBA)-
dc.subject.keywordLiquid culture-
dc.subject.keywordMedicinal plants-
dc.subject.keywordPartial least square discriminant analysis (PLS-DA)-
dc.subject.keywordPrincipal component analysis (PCA)-
dc.subject.localmedicinal plant-
dc.subject.localmedicinal plants-
dc.subject.localMedicinal plant-
dc.subject.localMedicinal plants-
dc.subject.localPartial least square discriminant analysis (PLS-DA)-
dc.subject.localPartial least squares discriminant analysis (PLS-DA)-
dc.subject.localPartial least squares-discriminant analysis (PLS-DA)-
dc.subject.localPrincipal component analysis-
dc.subject.localPrincipal component analysis (PCA)-
dc.subject.localprincipal component analysis-
dc.subject.localprincipal component analysis (PCA)-
dc.subject.localprincipal components analysis-
dc.subject.localPrincipal Component Analysis-
dc.description.journalClassY-
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
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