生物技术通报 ›› 2025, Vol. 41 ›› Issue (8): 220-233.doi: 10.13560/j.cnki.biotech.bull.1985.2025-0057

• 研究报告 • 上一篇    

红花质膜H+-ATPase基因家族成员鉴定及响应低氮低磷胁迫的表达分析

腊贵晓1,2(), 赵玉龙1,2, 代丹丹1,2, 余永亮1,2, 郭红霞1,2, 史贵霞1,2, 贾慧1, 杨铁钢1,2()   

  1. 1.河南省农业科学院中药材研究所,郑州 450002
    2.河南省中药材资源保护与利用重点实验室,郑州 450002
  • 收稿日期:2025-01-14 出版日期:2025-08-26 发布日期:2025-08-14
  • 通讯作者: 杨铁钢,男,博士,研究员,研究方向 :中药材生态栽培育种;E-mail: ytgha@163.com
  • 作者简介:腊贵晓,男,博士,副研究员,研究方向 :中药材生态栽培;E-mail: zju-l@163.com
  • 基金资助:
    国家现代农业产业技术体系(CARS-21);河南省现代农业产业技术体系(HARS-22-11-G2);河南省重点研发专项“豫产道地花类药材优异种质创制与品种选育及示范”(231111110800)

Identification of Plasma Membrane H+-ATPase Gene Family in Safflower and Expression Analysis in Response to Low Nitrogen and Low Phosphorus Stress

LA Gui-xiao1,2(), ZHAO Yu-long1,2, DAI Dan-dan1,2, YU Yong-liang1,2, GUO Hong-xia1,2, SHI Gui-xia1,2, JIA Hui1, YANG Tie-gang1,2()   

  1. 1.Institute of Chinese Herbal Medicines, Henan Academy of Agricultural Sciences, Zhengzhou 450002
    2.Provincial Key Laboratory of Conservation and Utilization of Traditional Chinese Medicine Resources, Institute of Chinese Herbal Medicines, Henan Academy of Agricultural Sciences, Zhengzhou 450002
  • Received:2025-01-14 Published:2025-08-26 Online:2025-08-14

摘要:

目的 对红花质膜H+-ATPase(CtPMA)基因家族进行全基因组鉴定与分析,为研究该基因家族及其在响应低氮低磷胁迫中的功能奠定基础。 方法 利用生物信息学方法对CtPMA基因家族成员进行鉴定和系统的分析;利用实时荧光定量PCR(RT-qPCR)分析其组织表达特异性及在低氮低磷胁迫下的响应。 结果 在红花中共鉴定到10个CtPMAs(命名为CtPMA1-CtPMA10),其编码蛋白质的氨基酸数为785-958 aa,相对分子质量为85.23-105.52 kD,等电点为5.26-7.91,亚细胞位点预测显示全部位于细胞膜;都含有Cation_ATPase_N结构域、E1_E2 ATPase结构域和HAD-superfamily hydrolase subfamily ⅢA结构域;顺式作用元件预测显示CtPMA基因家族内广泛存在与生长发育、激素和胁迫相关的调控元件;基因共线性显示全基因组复制和片段复制在CtPMA基因家族进化中起到了重要作用。RT-qPCR结果表明,在根中高表达的CtPMA1CtPMA7的表达量显著受到低氮低磷胁迫的诱导,说明CtPMA1CtPMA7可能与红花根部吸收氮磷的功能密切相关。 结论 红花全基因组中共鉴定到10个CtPMA基因,其进化相对保守,在不同的组织部位具有不同的表达模式。当红花遭受低氮低磷胁迫时在根部高表达的CtPMA1CtPMA7的转录水平显著被诱导,暗示其通过诱导自身转录水平以提高对氮磷的吸收和利用效率,用来抵御营养等逆境胁迫。

关键词: 红花, 质膜H+-ATPase基因家族, 生物信息学分析, 低氮胁迫, 低磷胁迫

Abstract:

Objective Genome-wide identification and analysis of the plasma membrane H+-ATPase (PMA) gene family in safflower (Carthamus tinctorius L.) may provide the basis for investigating this gene family and its function in response to low nitrogen and low phosphorus stress. Method Bioinformatics was used to identify and systematically analyze the members of the CtPMA gene family. Real-time fluorescence quantitative PCR (RT-qPCR) was applied to analyze the tissue-specific expression pattens and the responses to low nitrogen and low phosphorus stress. Result A total of 10 CtPMAs (named CtPMA1-CtPMA10) were identified in safflower, encoding proteins ranging from 785 to 958 aa, with relative molecular weight of 85.23 to 105.52 kD, and isoelectric points of 5.26 to 7.91. All were predicted to be localized to the plasma membrane by the subcellular localization. All members contained conserved domains, including the Cation_ATPase_N domain, the E1_E2 ATPase domain, and the HAD-superfamily hydrolase subfamily ⅢA domain. Cis-acting element analysis revealed a lot of regulatory elements related to growth, development, hormones and stress responses. Gene collinearity indicated that whole-genome duplication and segmental duplication played key roles in the evolution of the CtPMA gene family. RT-qPCR results showed that the CtPMA1 and CtPMA7, which were highly expressed in the roots, were significantly induced by low nitrogen and low phosphorus stress. This finding suggests that CtPMA1 and CtPMA7 may play a crucial role in the process of nitrogen and phosphorus uptake in safflower roots. Conclusion A total of 10 CtPMAs members are identified in the safflower genome.These members demonstrate evolutionary conservation and tissue-specific expression patterns. The highly expressed CtPMA1 and CtPMA7 transcripts in the roots were significantly induced under low nitrogen and phosphorus stress. This suggests that safflower may improve the absorption and utilization efficiency of nitrogen and phosphorus by increasing its CtPMAs transcription level in order to resist nutritional stress.

Key words: Carthamus tinctorius L., plasma membrane H+-ATPase gene family, bioinformatics analysis, low nitrogen stress, low phosphorus stress