生物技术通报 ›› 2026, Vol. 42 ›› Issue (11): 196-209.doi: 10.13560/j.cnki.biotech.bull.1985.2026-0276

• 研究报告 • 上一篇    

黄芩NAC基因家族鉴定及干旱胁迫响应分析

韩美光, 孙英新, 郝金鹏, 耿兴雨, 张海航, 邸鹏, 杨利民, 程林()   

  1. 1.吉林农业大学中药材学院 生态恢复与生态系统管理省部共建国家重点实验室培育基地,长春 130118
    2.吉林省药用植物生态种植重点实验室,长春 130118
  • 收稿日期:2026-03-10 出版日期:2026-11-26 发布日期:2026-11-03
  • 通讯作者: 程林007105@jlau.edu.cn
  • 基金资助:
    国家自然科学基金青年科学基金项目(82204575);吉林省科技发展计划重点研发项目(20240305001YY)

Genome-wide Identification and Drought Stress Response Analysis of the NAC Gene Family in Scutellaria baicalensis

HAN Mei-guang, SUN Ying-xin, HAO Jin-peng, GENG Xing-yu, ZHANG Hai-hang, DI Peng, YANG Li-min, CHENG Lin()   

  1. 1.State Key Laboratory of Ecological Restoration and Ecosystem Management Ecosystem Management, College of Chinese Medicinal Materials, Jilin Agricultural University, Changchun 130118
    2.Jilin Provincial Key Laboratory of Ecological Cultivation of Medicinal Plants, Changchun 130118
  • Received:2026-03-10 Published:2026-11-26 Online:2026-11-03

摘要:

目的 挖掘黄芩SbNAC基因家族成员,分析其在干旱胁迫下的表达特征,为探究NAC转录因子调控黄芩苷生物合成的分子机制奠定基础。 方法 基于黄芩的全基因组数据,采用生物信息学方法对SbNAC基因家族的理化性质、染色体定位、基因结构、保守基序、顺式作用元件及共线性关系进行系统分析。结合转录组数据筛选响应干旱胁迫的关键NAC基因,利用实时荧光定量PCR技术分析SbNAC19、SbNAC64和SbNAC74在黄芩根、茎、叶、花中的表达模式,以及干旱(5% PEG)和干旱联合脱落酸(5% PEG+100 μmol/L ABA)处理下不同时间点的表达动态。利用高效液相色谱法检测各处理下的黄芩苷含量。 结果 从黄芩基因组中共鉴定出78个SbNAC基因,系统进化分析将NAC蛋白分为18个分支且各分支的结构相对保守,片段重复是基因扩增的主要驱动力,顺式作用元件分析发现该家族广泛参与非生物逆境胁迫及激素信号的响应调控。干旱联合脱落酸处理可提高黄芩苷含量。根据转录组数据筛选获得3个响应干旱胁迫的候选基因SbNAC19、SbNAC64和SbNAC74,酵母单杂交结果显示这3个基因均能特异性结合CACG核心序列,PEG及PEG+ABA处理诱导SbNAC19和SbNAC64表达上调,而SbNAC74表达下调,揭示其可能参与调控黄芩苷的生物合成。 结论 SbNAC家族参与黄芩干旱胁迫及ABA信号响应过程,SbNAC19、SbNAC64和SbNAC74对黄芩苷合成具有潜在调控作用。

关键词: 黄芩, SbNAC基因家族, 干旱胁迫, 基因表达模式, 酵母单杂交, 黄芩苷合成, 转录组, 生物信息学分析

Abstract:

Objective This study aimed to identify NAC gene family members in Scutellaria baicalensis Georgi and analyze their expression patterns under drought stress, providing a foundation for investigating the molecular mechanisms by which NAC transcription factors regulate baicalin biosynthesis. Method Based on S. baicalensis whole-genome data, bioinformatics analysis was performed to investigate physicochemical properties, chromosomal distribution, gene structure, conserved motifs, cis-acting elements, and collinear relationships of the SbNAC gene family. Combined with transcriptome data, key drought-responsive NAC genes were screened. Quantitative real-time PCR (RT-qPCR) was used to analyze SbNAC19, SbNAC64, and SbNAC74 tissue expression patterns in roots, stems, leaves, and flowers, as well as expression dynamics under polyethylene glycol 6000 (5% PEG) treatment and combined 5% PEG and abscisic acid (100 μmol/L ABA) treatment, and the baicalin content in each treatment group was determined using high-performance liquid chromatography (HPLC). Combined drought stress and abscisic acid treatment increased baicalin content. Result A total of 78 SbNAC genes were identified in the S. baicalensis genome. Phylogenetic analysis grouped the NAC proteins into 18 clades, with conserved structures observed across each clade, and segmental duplication was the major driver of gene family expansion. Analysis of cis-acting elements revealed that this gene family is extensively involved in regulating responses to abiotic stress and hormonal signaling. Based on transcriptomic data, three candidate genes, SbNAC19, SbNAC64, and SbNAC74, were identified as drought-responsive. Yeast one-hybrid assay results showed that all three proteins specifically bind to the CACG core sequence. PEG treatment and PEG-ABA combined treatment induced upregulation of SbNAC19 and SbNAC64 expression while downregulating SbNAC74 expression, indicating their potential roles in baicalin biosynthesis regulation. Conclusion The SbNAC family is involved in drought stress and abscisic acid signaling in S. baicalensis. Furthermore, SbNAC19, SbNAC64, and SbNAC74 may play regulatory roles in baicalin biosynthesis.

Key words: Scutellaria baicalensis Georgi, SbNAC gene family, drought stress, gene expression patterns, yeast one-hybrid assay, baicalin biosynthesis, transcriptome, bioinformatics