Literature DB >> 25637373

Targeted Integration of RNA-Seq and Metabolite Data to Elucidate Curcuminoid Biosynthesis in Four Curcuma Species.

Donghan Li1, Naoaki Ono1, Tetsuo Sato2, Tadao Sugiura2, Md Altaf-Ul-Amin2, Daisaku Ohta3, Hideyuki Suzuki4, Masanori Arita5, Ken Tanaka6, Zhiqiang Ma7, Shigehiko Kanaya2.   

Abstract

Curcuminoids, namely curcumin and its analogs, are secondary metabolites that act as the primary active constituents of turmeric (Curcuma longa). The contents of these curcuminoids vary among species in the genus Curcuma. For this reason, we compared two wild strains and two cultivars to understand the differences in the synthesis of curcuminoids. Because the fluxes of metabolic reactions depend on the amounts of their substrate and the activity of the catalysts, we analyzed the metabolite concentrations and gene expression of related enzymes. We developed a method based on RNA sequencing (RNA-Seq) analysis that focuses on a specific set of genes to detect expression differences between species in detail. We developed a 'selection-first' method for RNA-Seq analysis in which short reads are mapped to selected enzymes in the target biosynthetic pathways in order to reduce the effect of mapping errors. Using this method, we found that the difference in the contents of curcuminoids among the species, as measured by gas chromatography-mass spectrometry, could be explained by the changes in the expression of genes encoding diketide-CoA synthase, and curcumin synthase at the branching point of the curcuminoid biosynthesis pathway.
© The Author 2015. Published by Oxford University Press on behalf of Japanese Society of Plant Physiologists. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  Curcumin; Gene expression analysis; Genus Curcuma; Metabolite analysis; RNA-Seq

Mesh:

Substances:

Year:  2015        PMID: 25637373     DOI: 10.1093/pcp/pcv008

Source DB:  PubMed          Journal:  Plant Cell Physiol        ISSN: 0032-0781            Impact factor:   4.927


  5 in total

1.  Integration of a Decrescent Transcriptome and Metabolomics Dataset of Peucedanum praeruptorum to Investigate the CYP450 and MDR Genes Involved in Coumarins Biosynthesis and Transport.

Authors:  Yucheng Zhao; Tingting Liu; Jun Luo; Qian Zhang; Sheng Xu; Chao Han; Jinfang Xu; Menghan Chen; Yijun Chen; Lingyi Kong
Journal:  Front Plant Sci       Date:  2015-12-10       Impact factor: 5.753

2.  Transcriptome analysis of Curcuma wenyujin from Haikou and Wenzhou, and a comparison of the main constituents and related genes of Rhizoma Curcumae.

Authors:  Lilan Lu; Peiwei Liu; Yanfang Yang; Yuxiu Zhang; Caixia Wang; Jian Feng; Jianhe Wei
Journal:  PLoS One       Date:  2020-11-30       Impact factor: 3.240

3.  A chromosome-scale genome assembly of turmeric provides insights into curcumin biosynthesis and tuber formation mechanism.

Authors:  Yanpeng Yin; Xiaofang Xie; Luojing Zhou; Xianmei Yin; Shuai Guo; Xianjian Zhou; Qingmiao Li; Xiaodong Shi; Cheng Peng; Jihai Gao
Journal:  Front Plant Sci       Date:  2022-09-26       Impact factor: 6.627

4.  Selection of Reference Genes for Gene Expression Normalization in Peucedanum praeruptorum Dunn under Abiotic Stresses, Hormone Treatments and Different Tissues.

Authors:  Yucheng Zhao; Jun Luo; Sheng Xu; Wei Wang; Tingting Liu; Chao Han; Yijun Chen; Lingyi Kong
Journal:  PLoS One       Date:  2016-03-29       Impact factor: 3.240

5.  Analysis of chemical properties of edible and medicinal ginger by metabolomics approach.

Authors:  Ken Tanaka; Masanori Arita; Hiroaki Sakurai; Naoaki Ono; Yasuhiro Tezuka
Journal:  Biomed Res Int       Date:  2015-10-01       Impact factor: 3.411

  5 in total

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