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© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Chelidonium majus L. is a perennial herbaceous plant that has various medicinal properties. However, the genomic information about its carotenoid biosynthesis pathway (CBP), xanthophyll biosynthesis pathway (XBP), and apocarotenoid biosynthesis pathway (ABP) genes were limited. Thus, the CBP, XBP, and ABP genes of C. majus were identified and analyzed. Among the 15 carotenoid pathway genes identified, 11 full and 4 partial open reading frames were determined. Phylogenetic analysis of these gene sequences showed higher similarity with higher plants. Through 3D structural analysis and multiple alignments, several distinct conserved motifs were identified, including dinucleotide binding motif, carotene binding motif, and aspartate or glutamate residues. Quantitative RT-PCR showed that CBP, XBP, and ABP genes were expressed in a tissue-specific manner; the highest expression levels were achieved in flowers, followed by those in leaves, roots, and stems. The HPLC analysis of the different organs showed the presence of eight different carotenoids. The highest total carotenoid content was found in leaves, followed by that in flowers, stems, and roots. This study provides information on the molecular mechanisms involved in CBP, XBP, and ABP genes, which might help optimize the carotenoid production in C. majus. The results could also be a basis of further studies on the molecular genetics and functional analysis of CBP, XBP, and ABP genes.

Details

Title
Molecular Characterization, Expression Analysis of Carotenoid, Xanthophyll, Apocarotenoid Pathway Genes, and Carotenoid and Xanthophyll Accumulation in Chelidonium majus L.
Author
Sathasivam, Ramaraj 1   VIAFID ORCID Logo  ; Hyeon Ji Yeo 1 ; Chang Ha Park 1 ; Choi, Minsol 1 ; Kwon, Haejin 1 ; Sim, Ji Eun 2 ; Park, Sang Un 3   VIAFID ORCID Logo  ; Kim, Jae Kwang 2   VIAFID ORCID Logo 

 Department of Crop Science, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 34134, Korea; [email protected] (R.S.); [email protected] (H.J.Y.); [email protected] (C.H.P.); [email protected] (M.C.); [email protected] (H.K.) 
 Division of Life Sciences, College of Life Sciences and Bioengineering, Incheon National University, Yeonsu-gu, Incheon 22012, Korea; [email protected] 
 Department of Crop Science, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 34134, Korea; [email protected] (R.S.); [email protected] (H.J.Y.); [email protected] (C.H.P.); [email protected] (M.C.); [email protected] (H.K.); Department of Smart Agriculture Systems, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 34134, Korea 
First page
1753
Publication year
2021
Publication date
2021
Publisher
MDPI AG
e-ISSN
22237747
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2565513894
Copyright
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.