中国畜牧兽医

• 生物技术 •    下一篇

三穗鸭肌肉生长抑制素基因的生物信息学分析

易恒洁1,2,3,李辉1,2,3杨胜林1,2,3赵忠海1,2,3彭邦星1,2,3   

  1. 1.贵州大学动物科学学院,贵州贵阳 550025;2.贵州省动物遗传育种与繁殖重点实验室,贵州贵阳 550025;3.贵州大学高原山地动物遗传育种与繁殖教育部重点实验室,贵州贵阳 550025)
  • 收稿日期:2013-10-18 出版日期:2014-04-20 发布日期:2014-05-27
  • 通讯作者: 李辉(1978—),女,山东人,副教授,博士,研究方向:动物遗传育种与繁殖。E-mail:ellenlihui@sina.cn
  • 作者简介:易恒洁(1987—),女,重庆人,硕士生,研究方向:动物遗传育种与繁殖。
  • 基金资助:

    教育部科学技术研究重点项目“贵州省地方鸭品种屠宰性状相关基因的克隆与SNPs检测”(211168);贵州省科技厅农业重大专项[黔科合重大专项字(2012)6004号];《三穗鸭国家标准》制定与养殖技术规程编制横向[H120183]。

Bioinformatics Analysis of MSTN Gene in Sansui Duck

YI Heng-jie1,2,3,LI Hui1,2,3,YANG Sheng-lin1,2,3,ZHAO Zhong-hai1,2,3,PENG Bang-xing1,2,3   

  1. (1.College of Animal Science, Guizhou University, Guiyang 550025,China;2.Key Laboratory of Animal Genetics, Breeding and Reproduction,Guizhou Province, Guiyang 550025,China;3.Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Ministry of Education, Guizhou University, Guiyang 550025,China)
  • Received:2013-10-18 Online:2014-04-20 Published:2014-05-27

摘要: 采用PCR产物直接测序的方法获得肌肉生长抑制素(myostatin,MSTN)基因的编码区序列,并运用生物信息学方法对该基因编码蛋白的理化性质、信号肽、跨膜结构、二级结构、三级结构和功能结构域进行分析。结果表明,三穗鸭MSTN蛋白是一个疏水性不稳定蛋白,作为信号肽的可能性很大;含有22个α螺旋、26个β折叠、26个T转角、20个无规则卷曲,有1个跨膜结构,具有TGF-β的主要结构。研究结果为MSTN基因的进一步研究提供参考。

关键词: 三穗鸭; 肌肉生长抑制素基因; 生物信息学

Abstract: In this study, the coding region of MSTN gene was amplified by PCR and sequenced by direct sequencing. Some characters of the MSTN gene encoding protein, including the physico-chemical properties, singal peptide, ransmembrane structure, secondary structure, high structure and functional domains, were analyzed by bioinformatics tools. The results showed that MSTN protein of Sansui duck was a kind of labile protein with high hydrophobicity, which was probably being singnal peptide. The protein contained 22 α-helics,26 β-sheets,26 T-turns,20 irregular coils and 1 transmembrane domain, and it had the main feature of TGF-β superfamily. The result provided an important reference for its further research.

Key words: Sansui duck; MSTN gene; bioinformatics