中国农业科学 ›› 2025, Vol. 58 ›› Issue (21): 4528-4543.doi: 10.3864/j.issn.0578-1752.2025.21.020

• 苜蓿耐盐碱抗旱基因挖掘与育种 • 上一篇    下一篇

基于转录组和WGCNA的直立型花苜蓿抗旱关键基因识别

穆赢通(), 路景诗, 张雨桐, 石凤翎()   

  1. 内蒙古农业大学草业学院,呼和浩特 010018
  • 收稿日期:2024-12-31 接受日期:2025-08-19 出版日期:2025-11-01 发布日期:2025-11-06
  • 通信作者:
    石凤翎,E-mail:
  • 联系方式: 穆赢通,E-mail:2911426494@qq.com。
  • 基金资助:
    内蒙古农业大学一流学科科研专项(YLXKZX-NND-003); 内蒙古自治区种业科技创新重大示范工程“揭榜挂帅”项目(2022JBGS0016)

Identification of Key Drought-Responsive Genes in Upright Medicago ruthenica Sojak cv. Zhilixing Based on Transcriptome Sequencing and WGCNA

MU YingTong(), LU JingShi, ZHANG YuTong, SHI FengLing()   

  1. College of Grassland Science, Inner Mongolia Agricultural University, Hohhot 010018
  • Received:2024-12-31 Accepted:2025-08-19 Published:2025-11-01 Online:2025-11-06

摘要:

【背景】干旱胁迫是限制全球农业生产力的主要非生物因子之一。系统解析植物在干旱及复水过程中的转录调控机制,对于提升作物抗旱性及实现分子育种具有重要理论与实践意义。花苜蓿作为多年生豆科牧草,具有优良的生态适应能力和抗旱潜力。【目的】通过基于转录组分析与共表达网络构建,识别直立型花苜蓿对干旱胁迫及复水响应的关键调控模块及核心功能基因,解析其潜在分子机制。【方法】设置4个处理阶段,包括正常水分处理(A组)、干旱胁迫中期(B组)、干旱胁迫后期(C组)和复水处理阶段(D组),以模拟花苜蓿在干旱-复水过程中的生理响应状态。利用高通量转录组测序获取基因表达数据,结合加权基因共表达网络分析(weighted gene co-expression network analysis,WGCNA)构建基因共表达模块。通过主成分分析(principal component analysis, PCA)和KEGG通路富集分析揭示基因表达的变异趋势与功能富集规律,进一步筛选与抗旱性密切相关的模块及核心基因。最终选取MEmagenta与MEdarkgreen模块中的6个核心基因进行qRT-PCR验证,以评估转录组数据的表达一致性与模块的生物学可信度。【结果】PCA分析显示,不同处理组样本在PC1与PC2维度上明显分离,表明干旱及复水处理对花苜蓿基因表达具有阶段性影响。差异表达分析结果显示,干旱中期(B组)诱导的上调与下调基因数量最多,反映出植物在早期迅速激活应答机制;干旱后期(C组)差异表达数量有所下降,但脂肪酸降解、糖代谢等代谢路径显著富集,提示植物向稳态调控方向转变;复水阶段(D组)大部分基因表达水平趋于恢复,部分信号转导和防御通路仍保持活跃状态,反映其持续的调节能力。WGCNA分析识别出4个与处理条件显著相关的模块(|r| > 0.6),其中MEdarkgreen模块(r = 0.93)在干旱后期高表达,富集于MAPK信号通路、内质网应激、脂质代谢与黄酮类合成等路径。模块核心基因BZIP17与IRE1B分别调控蛋白质折叠、转录重编程及内质网稳态,可能在长期胁迫适应中发挥重要作用。MEmagenta模块(r = 0.82)在正常水分状态下高度表达,富集于ABA与JA信号通路、黄酮代谢等路径,核心基因ABF4与MYC2分别参与气孔调控与次生代谢调节,是干旱应答启动阶段的重要调控因子。此外,NAC072、CLPD等基因亦参与叶绿体蛋白稳态与活性氧清除等过程,进一步增强植物的胁迫缓冲能力。KEGG功能富集结果与模块功能保持高度一致性,验证了模块生物学注释的可靠性。qRT-PCR验证结果表明,所选6个核心基因在干旱中后期(B、C组)显著上调,复水后(D组)表达普遍下降,整体表达趋势与转录组数据一致,进一步支持模块识别与功能预测的准确性。【结论】本研究揭示了花苜蓿在干旱胁迫及复水过程中转录水平的动态调控特征。通过共表达网络分析,识别出两个与抗旱适应性密切相关的关键模块MEmagenta与MEdarkgreen,筛选得到ABF4、MYC2、BZIP17和IRE1B等关键调控因子。这些基因在信号转导、代谢调控与胁迫适应中发挥核心作用,代表了花苜蓿在应对干旱过程中的潜在分子机制。研究为进一步解析牧草的抗旱分子基础及其分子育种提供了理论支撑与候选靶标。

关键词: 花苜蓿, 转录组, 加权基因共表达网络分析, 抗旱, 关键基因

Abstract:

【Background】Drought stress is one of the major abiotic factors limiting global agricultural productivity. Systematic elucidation of transcriptional regulatory mechanisms during drought and rehydration processes is crucial for improving crop drought tolerance and advancing molecular breeding strategies. Medicago ruthenica Sojak cv. Zhilixing, a perennial leguminous forage species, exhibits strong ecological adaptability and drought resistance.【Objective】This study aimed to identify key regulatory modules and core functional genes involved in drought and rehydration responses through transcriptome analysis and co-expression network construction, thereby revealing the underlying molecular mechanisms. 【Method】Four treatment stages were established, including normal irrigation (Group A), mid-term drought stress (Group B), late-stage drought stress (Group C), and post-rehydration (Group D), to simulate the transcriptional response of M. ruthenica under progressive drought and recovery conditions. High-throughput RNA sequencing was performed to obtain gene expression profiles, followed by weighted gene co-expression network analysis (WGCNA) to construct expression modules. Principal component analysis (PCA) and KEGG pathway enrichment were conducted to assess expression variation and functional clustering. Modules and hub genes closely associated with drought tolerance were identified, and six representative genes from the MEmagenta and MEdarkgreen modules were selected for qRT-PCR validation to assess data consistency and biological relevance. 【Result】PCA revealed clear separation of samples across PC1 and PC2 dimensions, indicating stage-specific effects of drought and rehydration treatments on gene expression patterns. Differential expression analysis showed the greatest number of up- and down-regulated genes during mid-stage drought (Group B), suggesting rapid activation of stress- responsive mechanisms. In the late-stage drought (Group C), fewer differentially expressed genes were observed, while pathways related to fatty acid degradation and carbohydrate metabolism were significantly enriched, suggesting a shift toward homeostatic regulation. During rehydration (Group D), most gene expression levels gradually recovered, although some signaling and defense pathways remained active, indicating ongoing adaptive modulation.WGCNA identified four modules significantly correlated with specific treatments (|r| > 0.6). The MEdarkgreen module (r = 0.93), highly expressed in Group C, was enriched in MAPK signaling, endoplasmic reticulum (ER) stress response, lipid metabolism, and flavonoid biosynthesis. Hub genes BZIP17 and IRE1B were implicated in ER stress signaling, protein folding regulation, and transcriptional reprogramming, indicating their key roles in prolonged drought adaptation. The MEmagenta module (r = 0.82), highly expressed under normal conditions (Group A), was enriched in ABA and JA signaling pathways, as well as flavonoid metabolism. Its core genes, ABF4 and MYC2, are involved in stomatal regulation and secondary metabolic control, functioning as crucial regulators during the early drought response. Additional genes such as NAC072 and CLPD contribute to chloroplast protein stability and reactive oxygen species scavenging, supporting their multifaceted roles in stress mitigation. KEGG enrichment results were highly consistent with module functions, confirming the reliability of functional annotations. qRT-PCR analysis showed that all six selected genes were significantly upregulated during mid and late drought stages (Groups B and C) and downregulated upon rehydration (Group D), mirroring RNA-seq expression patterns and validating the biological relevance of the identified modules and genes. 【Conclusion】This study reveals dynamic transcriptional regulation patterns in M. ruthenica under drought stress and rehydration. Two key modules, MEmagenta and MEdarkgreen, were identified as strongly associated with drought adaptation, encompassing hub genes such as ABF4, MYC2, BZIP17, and IRE1B. These genes play central roles in signal transduction, metabolic adjustment, and stress response, representing core components of the molecular mechanisms underlying drought adaptation in M. ruthenica. The findings provide a theoretical foundation and candidate targets for elucidating drought-responsive pathways and advancing molecular breeding of drought-resilient forage crops.

Key words: Medicago ruthenica, transcriptome, weighted gene co-expression network analysis (WGCNA), drought resistance, key genes