生物技术通报 ›› 2021, Vol. 37 ›› Issue (11): 197-211.doi: 10.13560/j.cnki.biotech.bull.1985.2021-0590

• 研究报告 • 上一篇    下一篇

山杏种子MATE家族分析及其重要成员MATE40克隆表达

刘潇菡(), 林子欣, 修宇, 党瑗, 林善枝()   

  1. 北京林业大学生物科学与技术学院,北京 100083
  • 收稿日期:2021-05-04 出版日期:2021-11-26 发布日期:2021-12-03
  • 作者简介:刘潇菡,女,硕士,研究方向:植物分子生物学;E-mail: han151294@163.com
  • 基金资助:
    国家自然科学基金面上项目(31972952)

Analysis of the MATE Family in the Seeds of Prunus sibirica and Cloning and Expression of Its Important Member MATE40

LIU Xiao-han(), LIN Zi-xin, XIU Yu, DANG Yuan, LIN Shan-zhi()   

  1. College of Biological Science and Technology,Beijing Forestry University,Beijing 100083
  • Received:2021-05-04 Published:2021-11-26 Online:2021-12-03

摘要:

山杏种子中的苦杏仁苷极大限制其油脂及其他相关产品的开发利用,而多药和有毒化合物排出(multidrug and toxic compound extrusion,MATE)转运蛋白可能在苦杏仁苷转运过程中起重要作用。运用生物信息学方法对山杏种子PsMATE家族成员进行预测分析,采用qRT-PCR技术对其在发育种子中的表达模式进行分析测定;利用qRT-PCR技术对PsMATE40进行组织特异性表达分析,使用GFP融合蛋白表达法对其进行亚细胞定位分析。基于实验室前期获得的山杏种子转录组数据,利用功能注释及生物信息学分析确定17个山杏种子PsMATE基因家族成员,可分为3个亚家族:亚家族1、亚家族2与亚家族4;上述基因编码蛋白二级结构以α-螺旋为主,含多个磷酸化位点;除PsMATE23、PsMATE33、PsMATE35A与PsMATE35B蛋白为酸性蛋白外,其余均为碱性蛋白;15个PsMATE蛋白为强疏水性跨膜转运蛋白,定位于质膜。qRT-PCR分析显示,PsMATE家族成员在山杏发育种子中均有表达,但不同发育期表达量差异显著,其中PsMATE40表达量在该家族基因中最高;结合系统发育结果,PsMATE40与已被鉴定具有苦杏仁苷转运的MATE蛋白聚类在一起,据此推测PsMATE40基因在山杏种子苦杏仁苷的转运中起重要作用;成功克隆获得PsMATE40基因序列;qRT-PCR分析表明,PsMATE40基因在山杏种子中表达量最高而在根中最低,表明PsMATE40表达具有组织特异性;构建植物表达载体pBI121-GFP-PsMATE40并瞬时转化烟草叶片,荧光显微镜检测PsMATE40转运蛋白定位于质膜。研究结果为阐明山杏种子苦杏仁苷的跨膜转运原理及分子定向培育低苦杏仁苷含量的油料植物奠定重要基础。

关键词: 山杏, MATE家族, 苦杏仁苷转运, 基因克隆, 表达分析

Abstract:

The development and utilization of Prurus sibirica seeds oil and related products are greatly limited by amygdalin in the seeds of P. sibirica. Multidrug and toxic compound extrusion(MATE)proteins play an important role in the transport of amygdalin. Bioinformatics methods were used to predict and analyze the PsMATE family genes in P. sibirica seed. Meanwhile,qRT-PCR was used to analyze their expression patterns in different developmental stages of P. sibirica seeds. qRT-PCR was applied to analyze the tissue specific expression of PsMATE40,and the GFP fusion protein expression method was employed to analyze their subcellular localization. As results,17 members of PsMATE gene family from the seeds of P. sibirica were obtained through functional annotation and bioinformatics analyses based on the previous transcriptomics data of P. sibirica seeds in our lab,they might be divided into three subfamilies(subfamily 1/2/4). The secondary structure of the encoded proteins mainly contained α-helix and multiple phosphorylation sites. Except for PsMATE23,PsMATE33,PsMATE35A and PsMATE35B,the other 13 proteins were all alkaline. Fifteen PsMATE proteins were highly hydrophobic transmembrane transporters and located in plasma membrane. qRT-PCR analysis showed that all members of the PsMATE family were expressed in the developing seeds of P. sibirica,but the expressions varied significantly. The expression of PsMATE40 gene expressed the highest among PsMATE family genes. Further analysis using phylogenetic trees revealed that PsMATE40 was clustered with MATE protein that was identified as amygdalin transporter. Therefore,it is suggested that PsMATE40 gene plays an important role in amygdalin transport in the seeds of P. sibirica. The PsMATE40 gene was successfully cloned. The qRT-PCR analysis showed that PsMATE40 presented the highest transcription level in the seeds of P. sibirica,whereas the lowest in the roots,emphasizing that PsMATE40 was specifically responded to different tissues of P. sibirica. The plant expression vector pBI121-GFP-PsMATE40 was constructed and transiently transformed into leaves of Nicotiana benthamiana,and the result by fluorescence microscopy indicated that the PsMATE40 transport protein was localized in the plasma membrane. In conclusion,these results lay the important foundation for understanding the transmembrane transport mechanism of amygdalin in the seeds of P. sibirica and molecular orientation cultivation of oil plants with low amygdalin content.

Key words: Prunus sibirica, MATE family, amygdalin transport, gene cloning, expression analysis