植物学报 ›› 2020, Vol. 55 ›› Issue (5): 551-563.DOI: 10.11983/CBB20026

• 研究报告 • 上一篇    下一篇

芒果胶孢炭疽病菌应答菌丝机械损伤产生无性孢子的分子机制

王丽妍1, 卢梦瑶1, 童悦1, 徐祥斌1, 张正科1, 孟兰环1, 史学群1,*(), 宋海超2,*()   

  1. 1海南大学食品科学与工程学院, 海口 570228
    2海南大学生命科学与药学院, 海口 570228
  • 收稿日期:2020-02-22 接受日期:2020-05-08 出版日期:2020-09-01 发布日期:2020-09-03
  • 通讯作者: 史学群,宋海超
  • 作者简介:songhaichao@sohu.com
    E-mail: shixuequn@163.com;
  • 基金资助:
    海南省科技厅创新团队(2019CXTD399)

Molecular Mechanism of the Generation of Asexual Spores of the Mango Fungal Pathogen (Colletotrichum gloeosporioides) Induced by Mechanical Injuries

Liyan Wang1, Mengyao Lu1, Yue Tong1, Xiangbin Xu1, Zhengke Zhang1, Lanhuan Meng1, Xuequn Shi1,*(), Haichao Song2,*()   

  1. 1College of Food Science and Engineering, Hainan University, Haikou 570228, China
    2School of Life and Pharmaceutical Sciences, Hainan University, Haikou 570228, China
  • Received:2020-02-22 Accepted:2020-05-08 Online:2020-09-01 Published:2020-09-03
  • Contact: Xuequn Shi,Haichao Song

摘要: 胶孢炭疽菌(Colletotrichum gloeosporioides)是引发芒果(Mangifera indica)炭疽病的主要病原体。室内平板培养胶孢炭疽菌不产生或产生很少分生孢子的情况时有发生, 但菌丝在机械损伤后24-48小时会产生大量分生孢子。胶孢炭疽菌应答机械损伤诱导产孢的核心基因及关键代谢通路尚未见报道。基于转录组测序(RNA-seq)技术检测了芒果胶孢炭疽菌菌丝在机械损伤处理后2小时内5个时间点的基因表达变化, 对差异表达基因进行GO富集和KEGG代谢通路富集分析, 并对菌丝响应胁迫的基因动态表达数据进行分析。基于常微分方程ODE模型结合变量选择技术, 构建了动态基因调控网络。结果表明, 有417个差异表达基因参与应答胶孢炭疽菌菌丝机械损伤, 分属12个聚类模块, 有4条通路存在显著富集, 分别是丙酮酸代谢、硫代谢、黄曲霉素合成途径和二萜合成途径。结合功能注释筛选出12个应答菌丝损伤胁迫的核心基因。研究结果为后续深入开展芒果胶孢炭疽菌产孢和致病机理研究奠定了重要基础。

关键词: 芒果, 胶孢炭疽菌, 损伤胁迫, RNA-seq, 动态表达

Abstract: Colletotrichum gloeosporioides is a prevalent pathogen that causes anthracnose in mango (Mangifera indica). Mycelium of C. gloeosporioides will accumulate a large number of conidia in 24-48 hours after mechanical injuries. However, it often accumulates none or few conidia during indoor culture, and the gene regulatory networks of the response to injury for a short-time (ST), or the key metabolic pathways involved in the response has not been explored. In this study, RNA-seq was carried out on RNA samples obtained at 5 time points within 2 hours after mechanical injuries. The differentially expressed genes were enriched by GO enrichment and KEGG metabolic pathway. The expression dynamics of mycelia in response to ST injury stress was analyzed. Based on a nonlinear ordinary differential equation model coupled with variable selection techniques, inter-module networks were constructed. The results showed that 417 differentially expressed genes were obtained, which belong to 12 clustered modules. KEGG enrichment analysis of differentially expressed genes was enriched in the process of pyruvate metabolism, sulfur metabolism, aflatoxin biosynthesis, diterpenoid biosynthesis. Combined with functional annotation, 12 core genes were identified that significantly correlated with ST injury-induced expression. These results provide valuable references for further research on asexual development and pathogenicity in C. gloeosporioides.

Key words: mango, Colletotrichum gloeosporioides, injury stress, RNA sequencing, expression dynamics