De novo transcriptome sequencing and digital gene expression analysis predict biosynthetic pathway of rhynchophylline and isorhynchophylline from Uncaria rhynchophylla, a non-model plant with potent anti-alzheimer's properties.
De novo transcriptome sequencing and digital gene expression analysis predict biosynthetic pathway of rhynchophylline and isorhynchophylline from Uncaria rhynchophylla, a non-model plant with potent anti-alzheimer's properties.
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DOI:
10.1186/1471-2164-15-676
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发表时间:
2014-08-12
期刊:
影响因子:
4.4
通讯作者:
Zu W
中科院分区:
文献类型:
--
作者:
Guo Q;Ma X;Wei S;Qiu D;Wilson IW;Wu P;Tang Q;Liu L;Dong S;Zu W
The major medicinal alkaloids isolated from Uncaria rhynchophylla (gouteng in chinese) capsules are rhynchophylline (RIN) and isorhynchophylline (IRN). Extracts containing these terpene indole alkaloids (TIAs) can inhibit the formation and destabilize preformed fibrils of amyloid β protein (a pathological marker of Alzheimer’s disease), and have been shown to improve the cognitive function of mice with Alzheimer-like symptoms. The biosynthetic pathways of RIN and IRN are largely unknown. In this study, RNA-sequencing of pooled Uncaria capsules RNA samples taken at three developmental stages that accumulate different amount of RIN and IRN was performed. More than 50 million high-quality reads from a cDNA library were generated and de novo assembled. Sequences for all of the known enzymes involved in TIAs synthesis were identified. Additionally, 193 cytochrome P450 (CYP450), 280 methyltransferase and 144 isomerase genes were identified, that are potential candidates for enzymes involved in RIN and IRN synthesis. Digital gene expression profile (DGE) analysis was performed on the three capsule developmental stages, and based on genes possessing expression profiles consistent with RIN and IRN levels; four CYP450s, three methyltransferases and three isomerases were identified as the candidates most likely to be involved in the later steps of RIN and IRN biosynthesis. A combination of de novo transcriptome assembly and DGE analysis was shown to be a powerful method for identifying genes encoding enzymes potentially involved in the biosynthesis of important secondary metabolites in a non-model plant. The transcriptome data from this study provides an important resource for understanding the formation of major bioactive constituents in the capsule extract from Uncaria, and provides information that may aid in metabolic engineering to increase yields of these important alkaloids. The online version of this article (doi:10.1186/1471-2164-15-676) contains supplementary material, which is available to authorized users.
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影响因子:
4.4
作者:
Ashrafi H;Hill T;Stoffel K;Kozik A;Yao J;Chin-Wo SR;Van Deynze A
通讯作者:
Van Deynze A
影响因子:
4.4
作者:
Annadurai RS;Jayakumar V;Mugasimangalam RC;Katta MA;Anand S;Gopinathan S;Sarma SP;Fernandes SJ;Mullapudi N;Murugesan S;Rao SN
通讯作者:
Rao SN
DOI:
10.1016/j.trstmh.2010.05.009
发表时间:
2010-10-01
影响因子:
2.2
作者:
Eltahir, Hatim G.;Omer, Abubaker A.;Adam, Ishag
通讯作者:
Adam, Ishag
影响因子:
5.6
作者:
Ehrman, Thomas M.;Barlow, David J.;Hylands, Peter J.
通讯作者:
Hylands, Peter J.
影响因子:
9.7
作者:
Casado, Pedro;Zuazua-Villar, Pedro;Ramos, Sofia
通讯作者:
Ramos, Sofia