许晓双, 薛英, 张福生, 秦雪梅, 彭冰, 田洪岭, 曾祖平. 不同物候期栽培远志的数字基因表达谱分析J. 药学学报, 2016,51(7): 1165-1174. doi: 10.16438/j.0513-4870.2016-0001
引用本文: 许晓双, 薛英, 张福生, 秦雪梅, 彭冰, 田洪岭, 曾祖平. 不同物候期栽培远志的数字基因表达谱分析J. 药学学报, 2016,51(7): 1165-1174. doi: 10.16438/j.0513-4870.2016-0001
XU Xiao-shuang, XUE Ying, ZHANG Fu-sheng, QIN Xue-mei, PENG Bing, TIAN Hong-ling, ZENG Zu-ping. Analysis of digital gene expression profiles of the cultivated Polygala tenuifolia in different phenological phasesJ. Acta Pharmaceutica Sinica, 2016,51(7): 1165-1174. doi: 10.16438/j.0513-4870.2016-0001
Citation: XU Xiao-shuang, XUE Ying, ZHANG Fu-sheng, QIN Xue-mei, PENG Bing, TIAN Hong-ling, ZENG Zu-ping. Analysis of digital gene expression profiles of the cultivated Polygala tenuifolia in different phenological phasesJ. Acta Pharmaceutica Sinica, 2016,51(7): 1165-1174. doi: 10.16438/j.0513-4870.2016-0001

不同物候期栽培远志的数字基因表达谱分析

Analysis of digital gene expression profiles of the cultivated Polygala tenuifolia in different phenological phases

  • 摘要: 不同物候期栽培远志中化学成分的含量变化是影响远志生产实践中最佳采收期确定的主要因素。本文采用数字基因表达谱(DGE)技术对不同物候期(花果期、枯萎期、休眠期)的栽培远志进行分析,从中找到被注释到与远志中化学成分生物合成相关的差异表达基因,并利用RT-qPCR(荧光定量PCR)技术对代表性差异表达基因进行验证,之后采用基因表达相关分析预测参与远志皂苷生物合成下游途径的关键酶(CYP450s与UGTs)。结果表明: ①在花果期→枯萎期→休眠期的发育过程中,远志中共同表达下调的基因数量要高于上调的数量;②与三萜皂苷生物合成相关的基因有6条(HMGS、PMK、FPPS、SQS、SE和β-AS),而与苯丙素类(黄酮类、木质素类)生物合成相关的基因有5条(PAL、C4H、4CL、CAD和peroxidase);③与枯萎期、休眠期相比,花果期远志中的皂苷类、口山酮类和木质素类成分的生物合成量最多;④ UGT83A1和CYP716B1、CYP98A3、CYP86B1、CYP94A1可能是参与远志皂苷生物合成下游途径的部分关键酶。本研究从转录水平上佐证了栽培远志传统采收期的正确性,并为今后远志皂苷生物合成关键酶(CYP450s与UGTs)的基因克隆及功能验证奠定了科学基础。

     

    Abstract: The content changes of chemical components in different phenological phase of the cultivated Polygala tenuifolia is one of the important factors for determination of the best harvest time in the production practice. In this study, the digital gene expression (DGE) profiles of the cultivated P. tenuifolia were analyzed in different phenological phase (flowering fruit bearing stage, wilting stage, dormancy stage). The differentially expressed genes were found in the biosynthesis of chemical composition in P. tenuifolia, and the representational ones were validated by RT-qPCR. Then, the key enzymes (CYP450s and UGTs) involved in the downstream of the triterpenoid saponins biosynthesis pathway in P. tenuifolia were predicted through the correlation analysis of gene expression. The number of down-regulated genes was more than that of up-regulated in P. tenuifolia from flowering fruit bearing stage to dormancy stage. Six differentially expressed genes (HMGS, PMK, FPPS, SQS, SE, β-AS) and five (PAL, C4H, 4CL, CAD, peroxidase) were annotated to the triterpenoid saponins and phenylpropanoid biosynthesis pathway in P. tenuifolia, respectively. Compared to wilting and dormancy stages, the saponins, xanthones, and lignins were largely synthesized at the flowering fruit bearing stage of P. tenuifolia. Furthermore, UGT83A1, CYP716B1, CYP98A3, CYP86B1, and CYP94A1 may be the part of key enzymes in the downstream of the triterpenoid saponins biosynthesis pathway in P. tenuifolia. This study provides evidence to support the correctness of traditional harvest time of P. tenuifolia at the level of transcription, and lays the scientific foundation for gene cloning and functional verification of CYP450s and UGTs in the downstream of the triterpenoid saponins biosynthesis pathway in P. tenuifolia in the future.

     

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