植物生态学报 ›› 2024, Vol. 48 ›› Issue (2): 215-228.DOI: 10.17521/cjpe.2022.0433  cstr: 32100.14.cjpe.2022.0433

• 研究论文 • 上一篇    下一篇

玉米与叶际微生物组的互作遗传机制

程可心, 杜尧, 李凯航, 王浩臣, 杨艳, 金一*(), 何晓青*()   

  1. 北京林业大学生物科学与技术学院, 北京 100083
  • 收稿日期:2022-10-31 接受日期:2023-05-16 出版日期:2024-02-28 发布日期:2023-05-17
  • 通讯作者: * (wizard.jin@163.com;lenahe@bjfu.edu.cn)
  • 基金资助:
    国家自然科学基金(31971398)

Genetic mechanism of interaction between maize and phyllospheric microbiome

CHENG Ke-Xin, DU Yao, LI Kai-Hang, WANG Hao-Chen, YANG Yan, JIN Yi*(), HE Xiao-Qing*()   

  1. College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China
  • Received:2022-10-31 Accepted:2023-05-16 Online:2024-02-28 Published:2023-05-17
  • Contact: * (wizard.jin@163.com;lenahe@bjfu.edu.cn)
  • Supported by:
    National Natural Science Foundation of China(31971398)

摘要:

为了解玉米(Zea mays)和其定植微生物组之间的相互作用, 探究玉米与叶际微生物组之间的互作遗传机制, 该研究采用数学模型量化微生物之间相互作用的4种方式: 互利共生、拮抗、侵略、利他, 分析230份玉米叶际微生物组数据, 利用网络作图研究玉米与叶际微生物组之间的互作遗传机制。结果表明: 在微生物互作网络中确定了67个中心节点微生物, 通过网络作图筛选到玉米405个显著单核苷酸多态性(SNPs)位点, 最终定位到23个枢纽基因, 发现其在促进植物生长、抵御病原菌侵染、耐受非生物胁迫方面起到重要作用。研究结果有助于在作物遗传育种以及构建新型菌剂促进植物生长方面提供思路。

关键词: 玉米, 叶际微生物组, 网络作图, 中心节点微生物, 显著单核苷酸多态性(SNPs)位点

Abstract:

Aims To understand the interaction between maize and its colonized microbiome, the genetic mechanism of interaction between maize and phyllospheric microbiome was explored.

Methods Four modes of interactions between microorganisms, including mutualistic symbiosis, antagonism, aggression, and altruism, were identified by using mathematical models. Based on 230 phyllospheric microbiome datasets of maize, network mapping was applied to characterize the interaction between maize and phyllospheric microbiome.

Important findings Sixty-seven hub microbes were identified in the microbial interaction network, 405 significant Single Nucleotide Polymorphisms in maize were screened through network mapping, and finally 23 hub genes were located, and it was found that they played an important role in promoting plant growth, resisting pathogenic bacteria infection and tolerating abiotic stresses.

Key words: maize, phyllospheric microbiome, network mapping, hub microbes, significant Single Nucleotide Polymorphisms (SNPs) locus