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基于丹参基因组的迷迭香酸合成酶的生物信息学分析 被引量:1

Bioinformatics Analysis of Rosmarinic Acid Synthases based on the Genome of Salvia miltiorrhiza
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摘要 丹参是我国常用大宗中药材,丹酚酸B是其水溶性药效成分的代表,迷迭香酸是丹酚酸B等复杂活性物质的核心结构单元,迷迭香酸合成酶承担着催化迷迭香酸生物合成的重要作用。因此,解析丹参迷迭香酸合成酶的生物学功能,对研究迷迭香酸和丹酚酸B生物合成,促进丹参品质改善具有重要作用。本研究利用生物信息学方法,从丹参基因组库中寻找到11条迷迭香酸合成酶编码基因,并对其进行了生物信息学分析。丹参迷迭香酸合成酶属于BAHD酰基转移酶家族,分子量在36 kD至59 kD之间,多为酸性稳定蛋白,不含信号肽和导肽,无规则卷曲和α-螺旋是其二级结构的主要特征。本研究对丹参迷迭香酸合成酶进行了详细的生物信息学分析,可为今后深入研究该酶的结构特征和功能提供参考。 Salvia miltiorrhiza is one of the most commonly used medicinal plants in traditional Chinese medicine. Salvianolic acid B is one of the most important water-soluble active ingredient in S. miltiorrhiza, and rosmarinic acid is the core structure unit of salvianolic acid B. Rosmarinic acid synthase takes the crucial part in the biosynthesis of rosmarinic acid. Thus, analysis of the biological function ofrosmarinic acid synthases in S. miltiorrhiza is important for the study of the biosynthesis ofrosmarinic acid and salvianolic acid B and the improvement of the quality orS. miltiorrhiza. In this study, 11 rosmarinic acid synthase coding genes were identified from the genome of S. miltiorrhiza (SmRAS) through bioinformatics methods. The results showed that rosmarinic acid synthase was a new member of BAHD acyltransferase family, the molecular weight of which was between 36 kD and 59 kD. Most SmRAS were acidic stable proteins, containing no signal peptides and leading peptides, and the random curl and α-helix were the main features of their secondary structure. In conclusion, this study carried out a detailed bioinformatics analysis of rosmarinic acid synthases in S. miltiorrhiza, which would provide useful information for the further study of structural features and functions of SmRAS in future.
出处 《基因组学与应用生物学》 CAS CSCD 北大核心 2017年第4期1611-1622,共12页 Genomics and Applied Biology
基金 国家自然科学基金(No.81303160 81325024 31300257) 中国人民解放军第二军医大学2015年本科学员创新实践能力孵化基地项目(No.FH2015095 FH2015096 FH2015099 FH2016081)共同资助
关键词 丹参 基因组 迷迭香酸合成酶 生物信息学 Salvia miltiorrhiza, Genome, Rosmarinic acid synthase, Bioinformatics
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