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[Identification and bioinformatics analysis of genes associated with MVA pathway in Magnolia officinalis].

Authors: Liang-ping, Zha; Yuan, Yuan; Lu-qi, Huang; Shu-lin, Yu;

[Identification and bioinformatics analysis of genes associated with MVA pathway in Magnolia officinalis].

Abstract

Methyl valerate (MVA) pathway is one of the important ways for synthesis of terpenoids. This study was based on data of the transcriptome sequencing of Magnolia officinalis, the associated genes MoACOT, MoHMGS, MoHMGR, MoMK in methyl valerate (MVA) pathway, were completed in detail by using bioinformatics methods. The results of analysis showed that MoACOT and MoMK were stable hydrophobic proteins, MoHMGS and MoHMGR were unstable hydrophobic protein. The secondary structures of all proteins were hybrid architecture,and alpha helical were the major motifs. There were no clear transmembrane domains in MoACOT, MoHMGS and MoMK, but two transmembrane domains were founded in MoHMGR which were from 39-61 aa and 82-104 aa resepectively. The results of evolutionary relationship analysis showed that MoACOT, MoHMGS, MoHMGR and MoMK had relative close relationship to angiosperm or dicotyledonous plants, and accorded with genetic evolution rule. From transcriptome data, transcripted level of MoACOT, MoHMGS, MoHMGR, MoMK in M. officinalis and M. officinalis var. biloba was not significantly different. The result provided theoretical reference for study on Methyl valerate (MVA) pathway of terpenoid of M. officinalis.

Keywords

Magnolia, Terpenes, Computational Biology, Genes, Plant, Phylogeny

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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